13,910 results on '"Yan, Xiao"'
Search Results
2. Retrofitting Temporal Graph Neural Networks with Transformer
- Author
-
Huang, Qiang, Yan, Xiao, Wang, Xin, Rao, Susie Xi, Han, Zhichao, Fu, Fangcheng, Zhang, Wentao, and Jiang, Jiawei
- Subjects
Computer Science - Machine Learning - Abstract
Temporal graph neural networks (TGNNs) outperform regular GNNs by incorporating time information into graph-based operations. However, TGNNs adopt specialized models (e.g., TGN, TGAT, and APAN ) and require tailored training frameworks (e.g., TGL and ETC). In this paper, we propose TF-TGN, which uses Transformer decoder as the backbone model for TGNN to enjoy Transformer's codebase for efficient training. In particular, Transformer achieves tremendous success for language modeling, and thus the community developed high-performance kernels (e.g., flash-attention and memory-efficient attention) and efficient distributed training schemes (e.g., PyTorch FSDP, DeepSpeed, and Megatron-LM). We observe that TGNN resembles language modeling, i.e., the message aggregation operation between chronologically occurring nodes and their temporal neighbors in TGNNs can be structured as sequence modeling. Beside this similarity, we also incorporate a series of algorithm designs including suffix infilling, temporal graph attention with self-loop, and causal masking self-attention to make TF-TGN work. During training, existing systems are slow in transforming the graph topology and conducting graph sampling. As such, we propose methods to parallelize the CSR format conversion and graph sampling. We also adapt Transformer codebase to train TF-TGN efficiently with multiple GPUs. We experiment with 9 graphs and compare with 2 state-of-the-art TGNN training frameworks. The results show that TF-TGN can accelerate training by over 2.20 while providing comparable or even superior accuracy to existing SOTA TGNNs. TF-TGN is available at https://github.com/qianghuangwhu/TF-TGN., Comment: conference Under review
- Published
- 2024
3. Hound: Hunting Supervision Signals for Few and Zero Shot Node Classification on Text-attributed Graph
- Author
-
Wang, Yuxiang, Yan, Xiao, Jin, Shiyu, Xu, Quanqing, Yang, Chuanhui, Zhu, Yuanyuan, Hu, Chuang, Du, Bo, and Jiang, Jiawei
- Subjects
Computer Science - Artificial Intelligence ,Computer Science - Computation and Language ,Computer Science - Information Retrieval - Abstract
Text-attributed graph (TAG) is an important type of graph structured data with text descriptions for each node. Few- and zero-shot node classification on TAGs have many applications in fields such as academia and social networks. However, the two tasks are challenging due to the lack of supervision signals, and existing methods only use the contrastive loss to align graph-based node embedding and language-based text embedding. In this paper, we propose Hound to improve accuracy by introducing more supervision signals, and the core idea is to go beyond the node-text pairs that come with data. Specifically, we design three augmentation techniques, i.e., node perturbation, text matching, and semantics negation to provide more reference nodes for each text and vice versa. Node perturbation adds/drops edges to produce diversified node embeddings that can be matched with a text. Text matching retrieves texts with similar embeddings to match with a node. Semantics negation uses a negative prompt to construct a negative text with the opposite semantics, which is contrasted with the original node and text. We evaluate Hound on 5 datasets and compare with 13 state-of-the-art baselines. The results show that Hound consistently outperforms all baselines, and its accuracy improvements over the best-performing baseline are usually over 5%.
- Published
- 2024
4. Monadring: A lightweight consensus protocol to offer Validation-as-a-Service to AVS nodes
- Author
-
Zhang, Yu, Yan, Xiao, Tang, Gang, and Wang, Helena
- Subjects
Computer Science - Distributed, Parallel, and Cluster Computing - Abstract
Existing blockchain networks are often large-scale, requiring transactions to be synchronized across the entire network to reach consensus. On-chain computations can be prohibitively expensive, making many CPU-intensive computations infeasible. Inspired by the structure of IBM's token ring networks, we propose a lightweight consensus protocol called Monadring to address these issues. Monadring allows nodes within a large blockchain network to form smaller subnetworks, enabling faster and more cost-effective computations while maintaining the security guarantees of the main blockchain network. To further enhance Monadring's security, we introduce a node rotation mechanism based on Verifiable Random Function (VRF) and blind voting using Fully Homomorphic Encryption (FHE) within the smaller subnetwork. Unlike the common voting-based election of validator nodes, Monadring leverages FHE to conceal voting information, eliminating the advantage of the last mover in the voting process. This paper details the design and implementation of the Monadring protocol and evaluates its performance and feasibility through simulation experiments. Our research contributes to enhancing the practical utility of blockchain technology in large-scale application scenarios., Comment: 23 pages, 3 figures
- Published
- 2024
5. Maximal steered coherence in the background of Schwarzschild space-time
- Author
-
Du, Ming-Ming, Li, Hong-Wei, Shen, Shu-Ting, Yan, Xiao-Jing, Li, Xi-Yun, Zhou, Lan, Zhong, Wei, and Sheng, Yu-Bo
- Subjects
Quantum Physics - Abstract
In the past two decades, the exploration of quantumness within Schwarzschild spacetime has garnered significant interest, particularly regarding the Hawking radiation's impact on quantum correlations and quantum coherence. Building on this foundation, we investigate how Hawking radiation influences maximal steered coherence (MSC)-a crucial measure for gauging the ability to generate coherence through steering. We find that as the Hawking temperature increases, the physically accessible MSC degrade while the unaccessible MSC increase. This observation is attributed to a redistribution of the initial quantum correlations, previously acknowledged by inertial observers, across all bipartite modes. In particular, we find that in limit case that the Hawking temperature tends to infinity, the accessible MSC equals to 1/\sqrt{2} of its initial value, and the unaccessible MSC also equals to the same value. Our findings illuminate the intricate dynamics of quantum information in the vicinity of black holes, suggesting that Hawking radiation plays a pivotal role in reshaping the landscape of quantum coherence and entanglement in curved spacetime. This study not only advances our theoretical understanding of black hole thermodynamics but also opens new avenues for investigating the interface between quantum mechanics and general relativity., Comment: 4 pages, 1 figure
- Published
- 2024
- Full Text
- View/download PDF
6. Evidence chain for time-reversal symmetry-breaking kagome superconductivity
- Author
-
Deng, Hanbin, Liu, Guowei, Guguchia, Z., Yang, Tianyu, Liu, Jinjin, Wang, Zhiwei, Xie, Yaofeng, Shao, Sen, Ma, Haiyang, Liège, William, Bourdarot, Frédéric, Yan, Xiao-Yu, Qin, Hailang, Mielke III, C., Khasanov, R., Luetkens, H., Wu, Xianxin, Chang, Guoqing, Liu, Jianpeng, Christensen, Morten Holm, Kreisel, Andreas, Andersen, Brian Møller, Huang, Wen, Zhao, Yue, Bourges, Philippe, Yao, Yugui, Dai, Pengcheng, and Yin, Jia-Xin
- Subjects
Condensed Matter - Superconductivity ,Condensed Matter - Materials Science - Abstract
Superconductivity and magnetism are antagonistic quantum matter, while their intertwining has long been considered in frustrated-lattice systems1-3. In this work, we utilize scanning tunneling microscopy and muon spin resonance to discover time-reversal symmetry-breaking superconductivity in kagome metal Cs(V,Ta)3Sb5, where the Cooper pairing exhibits magnetism and is modulated by it. In the magnetic channel, we observe spontaneous internal magnetism in a full-gap superconducting state. Under perturbations of inverse magnetic fields, we detect a time-reversal asymmetrical interference of Bogoliubov quasi-particles at a circular vector. At this vector, the pairing gap spontaneously modulates, which is distinct from pair density waves occurring at a point vector and consistent with the theoretical proposal of unusual interference effect under time-reversal symmetry-breaking. The correlation between internal magnetism, Bogoliubov quasi-particles, and pairing modulation provides a chain of experimental clues for time-reversal symmetry-breaking kagome superconductivity., Comment: To appear in Nature Materials (2024)
- Published
- 2024
7. Chiral kagome superconductivity modulations with residual Fermi arcs in KV3Sb5 and CsV3Sb5
- Author
-
Deng, Hanbin, Qin, Hailang, Liu, Guowei, Yang, Tianyu, Fu, Ruiqing, Zhang, Zhongyi, Wu, Xianxin, Wang, Zhiwei, Shi, Youguo, Liu, Jinjin, Liu, Hongxiong, Yan, Xiao-Yu, Song, Wei, Xu, Xitong, Zhao, Yuanyuan, Yi, Mingsheng, Xu, Gang, Hohmann, Hendrik, Holbæk, Sofie Castro, Dürrnage, Matteo, Zhou, Sen, Chang, Guoqing, Yao, Yugui, Wang, Qianghua, Guguchia, Zurab, Neupert, Titus, Thomale, Ronny, Fischer, Mark H., and Yin, Jia-Xin
- Subjects
Condensed Matter - Superconductivity ,Condensed Matter - Materials Science - Abstract
Superconductivity involving finite momentum pairing can lead to spatial gap and pair density modulations, as well as Bogoliubov Fermi states within the superconducting gap. However, the experimental realization of their intertwined relations has been challenging. Here, we detect chiral kagome superconductivity modulations with residual Fermi arcs in KV3Sb5 and CsV3Sb5 by normal and Josephson scanning tunneling microscopy down to 30mK with resolved electronic energy difference at microelectronvolt level. We observe a U-shaped superconducting gap with flat residual in-gap states. This gap exhibits chiral 2 by 2 spatial modulations with magnetic field tunable chirality, which align with the chiral 2 by 2 pair density modulations observed through Josephson tunneling. These findings demonstrate a chiral pair density wave (PDW) that breaks time-reversal symmetry. Quasiparticle interference imaging of the in-gap zero-energy states reveals segmented arcs, with high-temperature data linking them to parts of the reconstructed V d-orbital states within the charge order. The detected residual Fermi arcs can be explained by the partial suppression of these d-orbital states through an interorbital 2 by 2 PDW and thus serve as candidate Bogoliubov Fermi states. Additionally, we differentiate the observed PDW order from impurity-induced gap modulations. Our observations not only uncover a chiral PDW order with orbital-selectivity, but also illuminate the fundamental space-momentum correspondence inherent in finite momentum paired superconductivity., Comment: To appear in Nature (2024)
- Published
- 2024
8. Chiral pair density waves with residual Fermi arcs in RbV3Sb5
- Author
-
Yan, Xiao-Yu, Deng, Hanbin, Yang, Tianyu, Liu, Guowei, Song, Wei, Miao, Hu, Lei, Hechang, Wang, Shuo, Lin, Ben-Chuan, Qin, Hailang, and Yin, Jia-Xin
- Subjects
Condensed Matter - Superconductivity - Abstract
The chiral 2 by 2 charge order has been reported and confirmed in the kagome superconductor RbV3Sb5, while its interplay with superconductivity remains elusive owing to its lowest superconducting transition temperature Tc of about 0.85K among the AV3Sb5 family (A=K, Rb, Cs) that severely challenges electronic spectroscopic probes. Here, utilizing dilution-refrigerator-based scanning tunneling microscopy (STM) down to 30mK, we observe chiral 2 by 2 pair density waves with residual Fermi arcs in RbV3Sb5. We find a superconducting gap of 150{\mu}eV with substantial residual in-gap states. The spatial distribution of this gap exhibits chiral 2 by 2 modulations, signaling a chiral pair density wave (PDW). Our quasi-particle interference imaging of the zero-energy residual states further reveals arc-like patterns. We discuss the relation of the gap modulations with the residual Fermi arcs under the space-momentum correspondence between PDW and Bogoliubov Fermi states., Comment: To appear in Chinese Physics Letters
- Published
- 2024
9. TreeCSS: An Efficient Framework for Vertical Federated Learning
- Author
-
Zhang, Qinbo, Yan, Xiao, Ding, Yukai, Xu, Quanqing, Hu, Chuang, Zhou, Xiaokai, and Jiang, Jiawei
- Subjects
Computer Science - Machine Learning ,Computer Science - Artificial Intelligence - Abstract
Vertical federated learning (VFL) considers the case that the features of data samples are partitioned over different participants. VFL consists of two main steps, i.e., identify the common data samples for all participants (alignment) and train model using the aligned data samples (training). However, when there are many participants and data samples, both alignment and training become slow. As such, we propose TreeCSS as an efficient VFL framework that accelerates the two main steps. In particular, for sample alignment, we design an efficient multi-party private set intersection (MPSI) protocol called Tree-MPSI, which adopts a tree-based structure and a data-volume-aware scheduling strategy to parallelize alignment among the participants. As model training time scales with the number of data samples, we conduct coreset selection (CSS) to choose some representative data samples for training. Our CCS method adopts a clustering-based scheme for security and generality, which first clusters the features locally on each participant and then merges the local clustering results to select representative samples. In addition, we weight the samples according to their distances to the centroids to reflect their importance to model training. We evaluate the effectiveness and efficiency of our TreeCSS framework on various datasets and models. The results show that compared with vanilla VFL, TreeCSS accelerates training by up to 2.93x and achieves comparable model accuracy., Comment: 16 pages, 7 figures
- Published
- 2024
10. A Communication Satellite Servises Based Decentralized Network Protocol
- Author
-
Yan, Xiao and Gao, Bernie
- Subjects
Computer Science - Cryptography and Security ,Computer Science - Distributed, Parallel, and Cluster Computing ,Computer Science - Networking and Internet Architecture - Abstract
In this paper, we present a decentralized network protocol, Space Network Protocol, based on Communication Satellite Services. The protocol outlines a method for distributing information about the status of satellite communication services across the entire blockchain network, facilitating fairness and transparency in all communication services. Our primary objective is to standardize the services delivered by all satellite networks under the communication satellite protocol. This standard remains intact regardless of potential unreliability associated with the satellites or the terminal hardware. We proposed PoD (Proof of Distribution) to verify if the communication satellites are online and PoF (Proof of Flow) to authenticate the actual data flow provided by the communication satellites. In addition, we also proposed PoM (Proof of Mesh) to verify if the communication satellites have successfully meshed together. Utilizing zero-knowledge proof and multi-party cryptographic computations, we can evaluate the service provisioning parameters of each satellite, even in the presence of potential terminal or network node fraud. This method offers technical support for the modeling of distributed network services.
- Published
- 2024
11. DiskGNN: Bridging I/O Efficiency and Model Accuracy for Out-of-Core GNN Training
- Author
-
Liu, Renjie, Wang, Yichuan, Yan, Xiao, Cai, Zhenkun, Wang, Minjie, Jiang, Haitian, Tang, Bo, and Li, Jinyang
- Subjects
Computer Science - Machine Learning - Abstract
Graph neural networks (GNNs) are machine learning models specialized for graph data and widely used in many applications. To train GNNs on large graphs that exceed CPU memory, several systems store data on disk and conduct out-of-core processing. However, these systems suffer from either read amplification when reading node features that are usually smaller than a disk page or degraded model accuracy by treating the graph as disconnected partitions. To close this gap, we build a system called DiskGNN, which achieves high I/O efficiency and thus fast training without hurting model accuracy. The key technique used by DiskGNN is offline sampling, which helps decouple graph sampling from model computation. In particular, by conducting graph sampling beforehand, DiskGNN acquires the node features that will be accessed by model computation, and such information is utilized to pack the target node features contiguously on disk to avoid read amplification. Besides, \name{} also adopts designs including four-level feature store to fully utilize the memory hierarchy to cache node features and reduce disk access, batched packing to accelerate the feature packing process, and pipelined training to overlap disk access with other operations. We compare DiskGNN with Ginex and MariusGNN, which are state-of-the-art systems for out-of-core GNN training. The results show that DiskGNN can speed up the baselines by over 8x while matching their best model accuracy.
- Published
- 2024
12. Debiasing Recommendation with Personal Popularity
- Author
-
Ning, Wentao, Cheng, Reynold, Yan, Xiao, Kao, Ben, Huo, Nan, Haldar, Nur AI Hasan, and Tang, Bo
- Subjects
Computer Science - Information Retrieval - Abstract
Global popularity (GP) bias is the phenomenon that popular items are recommended much more frequently than they should be, which goes against the goal of providing personalized recommendations and harms user experience and recommendation accuracy. Many methods have been proposed to reduce GP bias but they fail to notice the fundamental problem of GP, i.e., it considers popularity from a \textit{global} perspective of \textit{all users} and uses a single set of popular items, and thus cannot capture the interests of individual users. As such, we propose a user-aware version of item popularity named \textit{personal popularity} (PP), which identifies different popular items for each user by considering the users that share similar interests. As PP models the preferences of individual users, it naturally helps to produce personalized recommendations and mitigate GP bias. To integrate PP into recommendation, we design a general \textit{personal popularity aware counterfactual} (PPAC) framework, which adapts easily to existing recommendation models. In particular, PPAC recognizes that PP and GP have both direct and indirect effects on recommendations and controls direct effects with counterfactual inference techniques for unbiased recommendations. All codes and datasets are available at \url{https://github.com/Stevenn9981/PPAC}., Comment: Accepted by WWW'24 as a research full paper
- Published
- 2024
- Full Text
- View/download PDF
13. Active formation of Friedrich-Wintgen bound states in the continuum in dielectric dimerized grating borophene heterostructure
- Author
-
Yan, Xiao-Fei, Wang, Xin-Yang, Lin, Qi, Wang, Ling-Ling, and Liu, Gui-Dong
- Subjects
Physics - Optics - Abstract
The Friedrich-Wintgen bound state in the continuum (FW BIC) provides a unique approach for achieving high quality factor (Q-factor) resonance, which has attracted wide attention and promoted the development of various applications. However, the FW BIC is usually considered as accident BIC resulting from the continuous parameters tuning, and a systematic approach to generate the FW BIC is still lacking. To address this, a method of actively forming FW BIC by matching the damping rate and resonance frequency of the coupling mode is proposed. As a proof-of-principle example, we propose a dielectric dimerized grating borophene heterostructure that generates a FW BIC near the commercially important communication wavelength. The coupling system comprises an electrically tunable borophene plasmon mode and a BIC supported by a dielectric dimer grating that can be attributed to the Brillouin zone folding. More interestingly, the BIC can be excited by the localized borophene plasmon (LBP) mode through near-field coupling as LBP mode can be considered as the dipole source. The interaction between them can further form the FW BIC, and support electromagnetically induced transparency (EIT)-like with maximum group index up to 2043, indicating its great potential for slow light applications. Our results provide a promising strategy and theoretical support for the generation of FW BIC in active plasmonic optical devices.
- Published
- 2024
14. The Decay Process of an {\alpha}-configuration Sunspot
- Author
-
Peng, Yang, Xue, Zhi-Ke, Yan, Xiao-Li, Norton, Aimee A., Qu, Zhong-Quan, Wang, Jin-Cheng, Xu, Zhe, Yang, Li-Heng, Li, Qiao-Ling, Yang, Li-Ping, and Sun, Xia
- Subjects
Astrophysics - Solar and Stellar Astrophysics - Abstract
The decay of sunspot plays a key role in magnetic flux transportation in solar active regions (ARs). To better understand the physical mechanism of the entire decay process of a sunspot, an {\alpha}-configuration sunspot in AR NOAA 12411 was studied. Based on the continuum intensity images and vector magnetic field data with stray light correction from Solar Dynamics Observatory/Helioseismic and Magnetic Imager, the area, vector magnetic field and magnetic flux in the umbra and penumbra are calculated with time, respectively. Our main results are as follows: (1) The decay curves of the sunspot area in its umbra, penumbra, and whole sunspot take the appearance of Gaussian profiles. The area decay rates of the umbra, penumbra and whole sunspot are -1.56 MSH/day, -12.61 MSH/day and -14.04 MSH/day, respectively; (2) With the decay of the sunspot, the total magnetic field strength and the vertical component of the penumbra increase, and the magnetic field of the penumbra becomes more vertical. Meanwhile, the total magnetic field strength and vertical magnetic field strength for the umbra decrease, and the inclination angle changes slightly with an average value of about 20{\deg}; (3) The magnetic flux decay curves of the sunspot in its umbra, penumbra, and whole sunspot exhibit quadratic patterns, their magnetic flux decay rates of the umbra, penumbra and whole sunspot are -9.84 * 10^19 Mx/day, -1.59 * 10^20 Mx/day and -2.60 * 10^20 Mx/day , respectively. The observation suggests that the penumbra may be transformed into the umbra, resulting in the increase of the average vertical magnetic field strength and the reduction of the inclination angle in the penumbra during the decay of the sunspot.
- Published
- 2024
- Full Text
- View/download PDF
15. Large Language Models for Social Networks: Applications, Challenges, and Solutions
- Author
-
Zeng, Jingying, Huang, Richard, Malik, Waleed, Yin, Langxuan, Babic, Bojan, Shacham, Danny, Yan, Xiao, Yang, Jaewon, and He, Qi
- Subjects
Computer Science - Social and Information Networks ,Computer Science - Artificial Intelligence ,Computer Science - Machine Learning - Abstract
Large Language Models (LLMs) are transforming the way people generate, explore, and engage with content. We study how we can develop LLM applications for online social networks. Despite LLMs' successes in other domains, it is challenging to develop LLM-based products for social networks for numerous reasons, and it has been relatively under-reported in the research community. We categorize LLM applications for social networks into three categories. First is knowledge tasks where users want to find new knowledge and information, such as search and question-answering. Second is entertainment tasks where users want to consume interesting content, such as getting entertaining notification content. Third is foundational tasks that need to be done to moderate and operate the social networks, such as content annotation and LLM monitoring. For each task, we share the challenges we found, solutions we developed, and lessons we learned. To the best of our knowledge, this is the first comprehensive paper about developing LLM applications for social networks.
- Published
- 2024
16. Chiral kagome superconductivity modulations with residual Fermi arcs
- Author
-
Deng, Hanbin, Qin, Hailang, Liu, Guowei, Yang, Tianyu, Fu, Ruiqing, Zhang, Zhongyi, Wu, Xianxin, Wang, Zhiwei, Shi, Youguo, Liu, Jinjin, Liu, Hongxiong, Yan, Xiao-Yu, Song, Wei, Xu, Xitong, Zhao, Yuanyuan, Yi, Mingsheng, Xu, Gang, Hohmann, Hendrik, Holbæk, Sofie Castro, Dürrnagel, Matteo, Zhou, Sen, Chang, Guoqing, Yao, Yugui, Wang, Qianghua, Guguchia, Zurab, Neupert, Titus, Thomale, Ronny, Fischer, Mark H., and Yin, Jia-Xin
- Published
- 2024
- Full Text
- View/download PDF
17. USP19 Stabilizes TAK1 to Regulate High Glucose/Free Fatty Acid-induced Dysfunction in HK-2 Cells
- Author
-
Yan, Xiao-hui, Zhu, Yin-na, and Zhu, Yan-ting
- Published
- 2024
- Full Text
- View/download PDF
18. Achieving coherent perfect absorption based on flat-band plasmonic Friedrich-Wintgen BIC in borophene metamaterials
- Author
-
Zhang, Yan-Xi, Lin, Qi, Yan, Xiao-Qiang, Wang, Ling-Ling, and Liu, Gui-Dong
- Subjects
Physics - Optics - Abstract
Many applications involve the phenomenon of a material absorbing electromagnetic radiation. By exploiting wave interference, the efficiency of absorption can be significantly enhanced. Here, we propose Friedrich-Wintgen bound states in the continuum (F-W BICs) based on borophene metamaterials to realize coherent perfect absorption with a dual-band absorption peak in commercially important communication bands. The metamaterials consist of borophene gratings and a borophene sheet that can simultaneously support a Fabry-Perot plasmon resonance and a guided plasmon mode. The formation and dynamic modulation of the F-W BIC can be achieved by adjusting the width or carrier density of the borophene grating, while the strong coupling leads to the anti-crossover behavior of the absorption spectrum. Due to the weak angular dispersion originating from the intrinsic flat-band characteristic of the deep sub-wavelength periodic structure, the proposed plasmonic system exhibits almost no change in wavelength and absorption at large incident angles (within 70 degrees). In addition, we employ the temporal coupled-mode theory including near- and far-field coupling to obtain strong critical coupling, successfully achieve coherent perfect absorption, and can realize the absorption switch by changing the phase difference between the two coherent beams. Our findings can offer theoretical support for absorber design and all-optical tuning.
- Published
- 2023
19. Let AI Entertain You: Increasing User Engagement with Generative AI and Rejection Sampling
- Author
-
Zeng, Jingying, Yang, Jaewon, Malik, Waleed, Yan, Xiao, Huang, Richard, and He, Qi
- Subjects
Computer Science - Human-Computer Interaction ,Computer Science - Artificial Intelligence ,Computer Science - Machine Learning - Abstract
While generative AI excels in content generation, it does not always increase user engagement. This can be attributed to two main factors. First, generative AI generates content without incorporating explicit or implicit feedback about user interactions. Even if the generated content seems to be more informative or well-written, it does not necessarily lead to an increase in user activities, such as clicks. Second, there is a concern with the quality of the content generative AI produces, which often lacks the distinctiveness and authenticity that human-created content possesses. These two factors can lead to content that fails to meet specific needs and preferences of users, ultimately reducing its potential to be engaging. This paper presents a generic framework of how to improve user engagement with generative AI by leveraging user feedback. Our solutions employ rejection sampling, a technique used in reinforcement learning, to boost engagement metrics. We leveraged the framework in the context of email notification subject lines generation for an online social network, and achieved significant engagement metric lift including +1% Session and +0.4% Weekly Active Users. We believe our work offers a universal framework that enhances user engagement with generative AI, particularly when standard generative AI reaches its limits in terms of enhancing content to be more captivating. To the best of our knowledge, this represents an early milestone in the industry's successful use of generative AI to enhance user engagement.
- Published
- 2023
20. SPT: Fine-Tuning Transformer-based Language Models Efficiently with Sparsification
- Author
-
Gui, Yuntao, Yan, Xiao, Yin, Peiqi, Yang, Han, and Cheng, James
- Subjects
Computer Science - Distributed, Parallel, and Cluster Computing ,Computer Science - Artificial Intelligence - Abstract
Transformer-based large language models (e.g., BERT and GPT) achieve great success, and fine-tuning, which tunes a pre-trained model on a task-specific dataset, is the standard practice to utilize these models for downstream tasks. However, Transformer fine-tuning has long running time and high memory consumption due to the large size of the models. We propose the SPT system to fine-tune Transformer-based models efficiently by introducing sparsity. We observe that the memory consumption of Transformer mainly comes from storing attention weights for multi-head attention (MHA), and the majority of running time is spent on feed-forward network (FFN). Thus, we design the sparse MHA module, which computes and stores only large attention weights to reduce memory consumption, and the routed FFN module, which dynamically activates a subset of model parameters for each token to reduce computation cost. We implement SPT on PyTorch and customize CUDA kernels to run sparse MHA and routed FFN efficiently. Specifically, we use product quantization to identify the large attention weights and compute attention via sparse matrix multiplication for sparse MHA. For routed FFN, we batch the tokens according to their activated model parameters for efficient computation. We conduct extensive experiments to evaluate SPT on various model configurations. The results show that SPT consistently outperforms well-optimized baselines, reducing the peak memory consumption by up to 50% and accelerating fine-tuning by up to 2.2x., Comment: Firstly submitted to VLDB November 1, 2023, rejection received on December 15, 2023
- Published
- 2023
21. Generative and Contrastive Paradigms Are Complementary for Graph Self-Supervised Learning
- Author
-
Wang, Yuxiang, Yan, Xiao, Hu, Chuang, Fu, Fangcheng, Zhang, Wentao, Wang, Hao, Shang, Shuo, and Jiang, Jiawei
- Subjects
Computer Science - Machine Learning ,Computer Science - Artificial Intelligence - Abstract
For graph self-supervised learning (GSSL), masked autoencoder (MAE) follows the generative paradigm and learns to reconstruct masked graph edges or node features. Contrastive Learning (CL) maximizes the similarity between augmented views of the same graph and is widely used for GSSL. However, MAE and CL are considered separately in existing works for GSSL. We observe that the MAE and CL paradigms are complementary and propose the graph contrastive masked autoencoder (GCMAE) framework to unify them. Specifically, by focusing on local edges or node features, MAE cannot capture global information of the graph and is sensitive to particular edges and features. On the contrary, CL excels in extracting global information because it considers the relation between graphs. As such, we equip GCMAE with an MAE branch and a CL branch, and the two branches share a common encoder, which allows the MAE branch to exploit the global information extracted by the CL branch. To force GCMAE to capture global graph structures, we train it to reconstruct the entire adjacency matrix instead of only the masked edges as in existing works. Moreover, a discrimination loss is proposed for feature reconstruction, which improves the disparity between node embeddings rather than reducing the reconstruction error to tackle the feature smoothing problem of MAE. We evaluate GCMAE on four popular graph tasks (i.e., node classification, node clustering, link prediction, and graph classification) and compare with 14 state-of-the-art baselines. The results show that GCMAE consistently provides good accuracy across these tasks, and the maximum accuracy improvement is up to 3.2% compared with the best-performing baseline.
- Published
- 2023
22. MuseGNN: Interpretable and Convergent Graph Neural Network Layers at Scale
- Author
-
Jiang, Haitian, Liu, Renjie, Yan, Xiao, Cai, Zhenkun, Wang, Minjie, and Wipf, David
- Subjects
Computer Science - Machine Learning - Abstract
Among the many variants of graph neural network (GNN) architectures capable of modeling data with cross-instance relations, an important subclass involves layers designed such that the forward pass iteratively reduces a graph-regularized energy function of interest. In this way, node embeddings produced at the output layer dually serve as both predictive features for solving downstream tasks (e.g., node classification) and energy function minimizers that inherit desirable inductive biases and interpretability. However, scaling GNN architectures constructed in this way remains challenging, in part because the convergence of the forward pass may involve models with considerable depth. To tackle this limitation, we propose a sampling-based energy function and scalable GNN layers that iteratively reduce it, guided by convergence guarantees in certain settings. We also instantiate a full GNN architecture based on these designs, and the model achieves competitive accuracy and scalability when applied to the largest publicly-available node classification benchmark exceeding 1TB in size.
- Published
- 2023
23. Impact of College Students' Perceived Teacher Support on Career Exploration: A Self-Determination Theory Approach
- Author
-
Lei Lu, Xiaoxiao Gao, and Yan Xiao
- Abstract
Career exploration has always been the key to career development, but exploring the formation mechanism of career exploration behaviour from teachers' perspective is still inadequate. A three-stage time-lagged research design is used to obtain a valid sample of 1246 college students from mainland China. Based on self-determination theory, this paper analyzes the causal mechanisms of career exploration from the dual motivation of controlled motivation of teachers' support and autonomous motivation of future work self-salience of college students to explore the mechanisms and function boundaries of career exploration of college students. The results showed that: (1) Students' perceived teacher support positively influences career exploration; (2) Future work self-salience positively moderates the mediating effect of learning engagement on the relationship between perceived teacher support and career exploration. This research contributes to how to enhance the positive effects of career exploration are proposed.
- Published
- 2024
- Full Text
- View/download PDF
24. Circ_0012152 Accelerates Acute Myeloid Leukemia Progression through the miR-652-3p/SOX4 Axis
- Author
-
Chen, Ying, Li, Bi-xia, Niu, Ting-ting, Yang, Shu-jun, Wu, Li-chao, Shi, Le-huai, Zou, Duo-bing, Wu, Ning-ning, Sheng, Li-xia, Yan, Xiao, Ouyang, Gui-fang, and Mu, Qi-tian
- Published
- 2024
- Full Text
- View/download PDF
25. Biochar effects on soil aggregation, phosphorus distribution, and colloidal phosphorus content in paddy soils: a comparative study
- Author
-
Wei, Jinju, Qin, Guobing, Zeng, Qingyang, Luo, Qi, Ji, Jianhua, Yan, Xiao, Wu, Jianfu, and Wei, Zongqiang
- Published
- 2024
- Full Text
- View/download PDF
26. Axial characteristic extraction algorithm of film cooling holes based on laser point cloud
- Author
-
Zhang, Min, Yan, Xiao-Shen, Xi, Xue-Cheng, and Zhao, Wan-Sheng
- Published
- 2024
- Full Text
- View/download PDF
27. Microbial remediation technology for heavy metal contamination of mine soil
- Author
-
Li, Shuangquan, Yan, Xiao, Zhang, Mingjiang, Sun, Qi, and Zhu, Xuezhe
- Published
- 2024
- Full Text
- View/download PDF
28. Self-assembled soft alloy with Frank–Kasper phases beyond metals
- Author
-
Liu, Xian-You, Yan, Xiao-Yun, Liu, Yuchu, Qu, Hang, Wang, Yicong, Wang, Jing, Guo, Qing-Yun, Lei, Huanyu, Li, Xing-Han, Bian, Fenggang, Cao, Xiao-Yu, Zhang, Rui, Wang, Yu, Huang, Mingjun, Lin, Zhiwei, Meijer, E. W., Aida, Takuzo, Kong, Xian, and Cheng, Stephen Z. D.
- Published
- 2024
- Full Text
- View/download PDF
29. Lightness modification method considering chromaticity loss for dichromats
- Author
-
Bao, Shi and Yan, Xiao
- Published
- 2024
- Full Text
- View/download PDF
30. A generalized vector-field framework for mobility
- Author
-
Liu, Erjian, Mazzoli, Mattia, Yan, Xiao-Yong, and Ramasco, Jose J.
- Subjects
Physics - Physics and Society ,Computer Science - Computers and Society - Abstract
Trip flow between areas is a fundamental metric for human mobility research. Given its identification with travel demand and its relevance for transportation and urban planning, many models have been developed for its estimation. These models focus on flow intensity, disregarding the information provided by the local mobility orientation. A field-theoretic approach can overcome this issue and handling both intensity and direction at once. Here we propose a general vector-field representation starting from individuals' trajectories valid for any type of mobility. By introducing four models of spatial exploration, we show how individuals' elections determine the mesoscopic properties of the mobility field. Distance optimization in long displacements and random-like local exploration are necessary to reproduce empirical field features observed in Chinese logistic data and in New York City Foursquare check-ins. Our framework is an essential tool to capture hidden symmetries in mesoscopic urban mobility, it establishes a benchmark to test the validity of mobility models and opens the doors to the use of field theory in a wide spectrum of applications., Comment: 13 pages, 8 figures, Appendices
- Published
- 2023
31. Multi-domain Recommendation with Embedding Disentangling and Domain Alignment
- Author
-
Ning, Wentao, Yan, Xiao, Liu, Weiwen, Cheng, Reynold, Zhang, Rui, and Tang, Bo
- Subjects
Computer Science - Information Retrieval ,Computer Science - Artificial Intelligence - Abstract
Multi-domain recommendation (MDR) aims to provide recommendations for different domains (e.g., types of products) with overlapping users/items and is common for platforms such as Amazon, Facebook, and LinkedIn that host multiple services. Existing MDR models face two challenges: First, it is difficult to disentangle knowledge that generalizes across domains (e.g., a user likes cheap items) and knowledge specific to a single domain (e.g., a user likes blue clothing but not blue cars). Second, they have limited ability to transfer knowledge across domains with small overlaps. We propose a new MDR method named EDDA with two key components, i.e., embedding disentangling recommender and domain alignment, to tackle the two challenges respectively. In particular, the embedding disentangling recommender separates both the model and embedding for the inter-domain part and the intra-domain part, while most existing MDR methods only focus on model-level disentangling. The domain alignment leverages random walks from graph processing to identify similar user/item pairs from different domains and encourages similar user/item pairs to have similar embeddings, enhancing knowledge transfer. We compare EDDA with 12 state-of-the-art baselines on 3 real datasets. The results show that EDDA consistently outperforms the baselines on all datasets and domains. All datasets and codes are available at https://github.com/Stevenn9981/EDDA., Comment: Accepted by CIKM'23 as a Long paper
- Published
- 2023
- Full Text
- View/download PDF
32. Quantifying the overall characteristics of urban mobility considering spatial information
- Author
-
Wang, Hao, Zhao, Pengjun, and Yan, Xiao-Yong
- Subjects
Physics - Physics and Society - Abstract
Quantification of the overall characteristics of urban mobility using coarse-grained methods is crucial for urban management, planning and sustainable development. Although some recent studies have provided quantification methods for coarse-grained numerical information regarding urban mobility, a method that can simultaneously capture numerical and spatial information remains an outstanding problem. Here, we use mathematical vectors to depict human mobility, with mobility magnitude representing numerical information and mobility direction representing spatial information. We then define anisotropy and centripetality metrics by vector computation to measure imbalance in direction distribution and orientation toward the city center of mobility flows, respectively. As a case study, we apply our method to 60 Chinese cities and identify three mobility patterns: strong monocentric, weak monocentric and polycentric. To better understand mobility pattern, we further study the allometric scaling of the average commuting distance and the spatiotemporal variations of the two metrics in different patterns. Finally, we build a microscopic model to explain the key mechanisms driving the diversity in anisotropy and centripetality. Our work offers a comprehensive method that considers both numerical and spatial information to quantify and classify the overall characteristics of urban mobility, enhancing our understanding of the structure and evolution of urban mobility systems.
- Published
- 2023
33. Basis-independent quantum coherence and its distribution under relativistic motion
- Author
-
Du, Ming-Ming, Li, Hong-Wei, Tao, Zhen, Shen, Shu-Ting, Yan, Xiao-Jing, Li, Xi-Yun, Zhong, Wei, Sheng, Yu-Bo, and Zhou, Lan
- Published
- 2024
- Full Text
- View/download PDF
34. Further description of the poorly known zooparasitic nematode Abbreviata baltazardi Chabaud, 1953 (Spirurida: Physalopteridae)
- Author
-
Gu, Xiao‑Hong, Yan, Xiao-Fei, Chen, Hui-Xia, and Li, Liang
- Published
- 2024
- Full Text
- View/download PDF
35. Unusual photocarrier and coherent phonon dynamics behaviors of layered PdSe2 unveiled by ultrafast spectroscopy of the edge surface
- Author
-
Yun, Tiantian, Huo, Changfu, Cheng, Jinluo, Liu, Zhi-Bo, and Yan, Xiao-Qing
- Published
- 2024
- Full Text
- View/download PDF
36. Accuracy of cell-free Mycobacterium tuberculosis DNA testing in pleural effusion for diagnosing tuberculous pleurisy: a multicenter cross-sectional study
- Author
-
Wei-Li Du, Jian-Qin Liang, Xin-Ting Yang, Cheng-Jun Li, Qing-Feng Wang, Wen-Ge Han, Ye Li, Zhi-Hui Li, Dong-Mei Zhao, Fu-Dong Xu, Yan-Xiao Rong, Xiao-Jing Cui, Hui-Min Li, Feng Wang, Peng-Chong Liu, Dong-Lin Guo, Hai-Bin Wang, Xu-Ya Xing, Jia-Lu Che, Zi-Chen Liu, Na-Na Zhang, Kun Li, Yi Liu, Li Wang, Hai-Bo Wang, and Nan-Ying Che
- Subjects
Cell-free Mycobacterium tuberculosis DNA (cf-TB) ,Pleural effusion (PE) ,Tuberculous pleurisy (TP) ,Diagnosis ,Medicine (General) ,R5-920 ,Military Science - Abstract
Abstract Background The diagnosis of tuberculous pleurisy (TP) presents a significant challenge due to the low bacterial load in pleural effusion (PE) samples. Cell-free Mycobacterium tuberculosis DNA (cf-TB) in PE samples is considered an optimal biomarker for diagnosing TP. This study aimed to evaluate the applicability of cf-TB testing across diverse research sites with a relatively large sample size. Methods Patients suspected of TP and presenting with clinical symptoms and radiological evidence of PE were consecutively enrolled by treating physicians from 11 research sites across 6 provinces in China between April 2020 and August 2022. Following centrifugation, sediments obtained from PE were used for Xpert MTB/RIF (Xpert) and mycobacterial culture, while the supernatants were subjected to cf-TB testing. This study employed a composite reference standard to definite TP, which was characterized by any positive result for Mycobacterium tuberculosis (MTB) through either PE culture, PE Xpert, or pleural biopsy. Results A total of 1412 participants underwent screening, and 1344 (95.2%) were subsequently enrolled in this study. Data from 1241 (92.3%) participants were included, comprising 284 with definite TP, 677 with clinically diagnosed TP, and 280 without TP. The sensitivity of cf-TB testing in definite TP was 73.6% (95% CI 68.2–78.4), significantly higher than both Xpert (40.8%, 95% CI 35.3–46.7, P
- Published
- 2024
- Full Text
- View/download PDF
37. Dysregulated arginine metabolism in precursor B-cell acute lymphoblastic leukemia in children: a metabolomic study
- Author
-
Wenqing Wang, Liuting Yu, Zhen Li, Yan Xiao, Hao Jiang, Yan-lai Tang, Yun Chen, and Hongman Xue
- Subjects
Precursor B-cell acute lymphoblastic leukemia ,Minimal residual disease ,Metabolomic profiling ,Linoleic acid ,Arginine ,Pediatrics ,RJ1-570 - Abstract
Abstract Background Precursor B-cell acute lymphoblastic leukemia (B-ALL) is the most common cancers in children. Failure of induction chemotherapy is a major factor leading to relapse and death in children with B-ALL. Given the importance of altered metabolites in the carcinogenesis of pediatric B-ALL, studying the metabolic profile of children with B-ALL during induction chemotherapy and in different minimal residual disease (MRD) status may contribute to the management of pediatric B-ALL. Methods We collected paired peripheral blood plasma samples from children with B-ALL at pre- and post-induction chemotherapy and analyzed the metabolomic profiling of these samples by ultra-high performance liquid chromatography-mass spectrometry (UHPLC-MS). Healthy children were included as controls. We selected metabolites that were depleted in pediatric B-ALL and analyzed the concentrations in pediatric B-ALL samples. In vitro, we study the effects of the selected metabolites on the viability of ALL cell lines and the sensitivity to conventional chemotherapeutic agents in ALL cell lines. Results Forty-four metabolites were identified with different levels between groups. KEGG pathway enrichment analyses revealed that dysregulated linoleic acid (LA) metabolism and arginine (Arg) biosynthesis were closely associated with pediatric B-ALL. We confirmed that LA and Arg were decreased in pediatric B-ALL samples. The treatment of LA and Arg inhibited the viability of NALM-6 and RS4;11 cells in a dose-dependent manner, respectively. Moreover, Arg increased the sensitivity of B-ALL cells to L-asparaginase and daunorubicin. Conclusion Arginine increases the sensitivity of B-ALL cells to the conventional chemotherapeutic drugs L-asparaginase and daunorubicin. This may represent a promising therapeutic approach.
- Published
- 2024
- Full Text
- View/download PDF
38. Health lifestyles of six Zhiguo ethnic groups in China: a latent class analysis
- Author
-
Kaiwen Wu, Jie Chen, Yan Xiao, Chaofang Yan, Xiaoju Li, Yuan Huang, and Rui Deng
- Subjects
Health lifestyle ,Latent class analysis ,Ethnic minority ,Zhiguo ethnic groups ,Public aspects of medicine ,RA1-1270 - Abstract
Abstract Background Zhiguo ethnic groups, commonly known as “the directly-entering-socialism ethnic groups”, represent Chinese ethnic minorities who have undergone a unique social development trajectory by transforming directly from primitive societies to the socialist stage. In recent decades, significant lifestyle transformations have occurred among Zhiguo ethnic groups. Understanding their health lifestyles can play a strategic role in China’s pursuit of universal health coverage. This study aims to examine patterns of health-related lifestyle among Zhiguo ethnic groups and explore whether sociodemographic features and specific indicators related to health status are associated with particular classes. Methods A cross-sectional study was conducted in Yunnan Province, China, from July to December 2022. Stratified random sampling method was employed to recruit residents belonging to six Zhiguo ethnic groups aged between 15 and 64. Latent class analysis was performed to identify clusters of health-related behaviors within each ethnic group. Logistic regression was utilized to determine the predictors of health lifestyles. Results A total of 1,588 individuals from the Zhiguo ethnic groups participated in this study. Three latent classes representing prevalent health lifestyles among the Zhiguo ethnic groups were identified: “unhealthy lifestyle” (31.80%), “mixed lifestyle” (57.37%), and “healthy lifestyle” (10.83%). In the overall population, individuals belonging to the “healthy lifestyle” group exhibited a higher likelihood of being non-farmers (OR: 2.300, 95% CI: 1.347–3.927), women (OR: 21.459, 95% CI: 13.678–33.667), married individuals (OR: 1.897, 95% CI: 1.146–3.138), and those residing within a walking distance of less than 15 min from the nearest health facility (OR: 2.133, 95% CI: 1.415–3.215). Conversely, individuals in the age cohorts of 30–39 years (OR: 0.277, 95% CI: 0.137–0.558) and 40–49 years (OR: 0.471, 95% CI: 0.232–0.958) showed a decreased likelihood of adopting a healthy lifestyle. Conclusions A considerable proportion of the Zhiguo ethnic groups have not adopted healthy lifestyles. Targeted interventions aimed at improving health outcomes within these communities should prioritize addressing the clustering of unfavorable health behaviors, with particular emphasis on single male farmers aged 30–49, and expanding healthcare coverage for individuals residing more than 15 min away from accessible facilities.
- Published
- 2024
- Full Text
- View/download PDF
39. A structured biomimetic nanoparticle as inflammatory factor sponge and autophagy-regulatory agent against intervertebral disc degeneration and discogenic pain
- Author
-
Kanglu Li, Wenbo Yang, Xuanzuo Chen, Yihan Yu, Yiran Liu, Feifei Ni, Yan Xiao, Xiangcheng Qing, Sheng Liu, YuXin He, Baichuan Wang, Li Xu, Zengwu Shao, Lei Zhao, Yizhong Peng, and Hui Lin
- Subjects
Intervertebral disc degeneration ,Targeting nanoparticle ,Biomimetic ,Discogenic pain ,Innervation ,Biotechnology ,TP248.13-248.65 ,Medical technology ,R855-855.5 - Abstract
Abstract Lower back pain (LBP) is a common condition closely associated with intervertebral disc degeneration (IDD), causing a significant socioeconomic burden. Inflammatory activation in degenerated discs involves pro-inflammatory cytokines, dysregulated regulatory cytokines, and increased levels of nerve growth factor (NGF), leading to further intervertebral disc destruction and pain sensitization. Macrophage polarization is closely related to autophagy. Based on these pathological features, a structured biomimetic nanoparticle coated with TrkA-overexpressing macrophage membranes (TMNP@SR) with a rapamycin-loaded mesoporous silica core is developed. TMNP@SR acted like sponges to adsorbe inflammatory cytokines and NGF and delivers the autophagy regulator rapamycin (RAPA) into macrophages through homologous targeting effects of the outer engineered cell membrane. By regulating autophagy activation, TMNP@SR promoted the M1-to-M2 switch of macrophages to avoid continuous activation of inflammation within the degenerated disc, which prevented the apoptosis of nucleus pulposus cells. In addition, TMNP@SR relieved mechanical and thermal hyperalgesia, reduced calcitonin gene-related peptide (CGRP) and substance P (SP) expression in the dorsal root ganglion, and downregulated GFAP and c-FOS signaling in the spinal cord in the rat IDD model. In summary, TMNP@SR spontaneously inhibits the aggravation of disc inflammation to alleviate disc degeneration and reduce the ingress of sensory nerves, presenting a promising treatment strategy for LBP induced by disc degeneration. Graphical Abstract
- Published
- 2024
- Full Text
- View/download PDF
40. A global study for acute myeloid leukemia with RARG rearrangement.
- Author
-
Zhu, Hong-Hu, Qin, Ya-Zhen, Zhang, Zhang-Lin, Liu, Yong-Jing, Wen, Li-Jun, You, M, Zhang, Cheng, Such, Esperanza, Luo, Hong, Yuan, Hong-Jian, Zhou, Hong-Sheng, Liu, Hong-Xing, Xu, Reng, Li, Ji, Li, Jian-Hu, Hao, Jian-Ping, Jin, Jie, Yu, Liang, Zhang, Jing-Ying, Liu, Li-Ping, Zhang, Le-Ping, Huang, Rui-Bin, Shen, Shu-Hong, Gao, Su-Jun, Wang, Wei, Yan, Xiao-Jing, Zhang, Xin-You, Du, Xin, Chu, Xiao-Xia, Yu, Yan-Fang, Wang, Yi, Mi, Ying-Chang, Lu, Ying, Cai, Zhen, Su, Zhan, Taussig, David, MacMahon, Suzanne, Ball, Edward, Wang, Huan-You, Welch, John, Yin, C, Borthakur, Gautam, Sanz, Miguel, Kantarjian, Hagop, Huang, Jin-Yan, Hu, Jiong, and Chen, Su-Ning
- Subjects
Humans ,Leukemia ,Myeloid ,Acute ,Leukemia ,Promyelocytic ,Acute ,Tretinoin ,HLA-DR Antigens ,Arsenic Trioxide - Abstract
Acute myeloid leukemia (AML) with retinoic acid receptor γ (RARG) rearrangement has clinical, morphologic, and immunophenotypic features similar to classic acute promyelocytic leukemia. However, AML with RARG rearrangement is insensitive to alltrans retinoic acid (ATRA) and arsenic trioxide (ATO) and carries a poor prognosis. We initiated a global cooperative study to define the clinicopathological features, genomic and transcriptomic landscape, and outcomes of AML with RARG rearrangements collected from 29 study groups/institutions worldwide. Thirty-four patients with AML with RARG rearrangements were identified. Bleeding or ecchymosis was present in 18 (54.5%) patients. Morphology diagnosed as M3 and M3v accounted for 73.5% and 26.5% of the cases, respectively. Immunophenotyping showed the following characteristics: positive for CD33, CD13, and MPO but negative for CD38, CD11b, CD34, and HLA-DR. Cytogenetics showed normal karyotype in 38% and t(11;12) in 26% of patients. The partner genes of RARG were diverse and included CPSF6, NUP98, HNRNPc, HNRNPm, PML, and NPM1. WT1- and NRAS/KRAS-mutations were common comutations. None of the 34 patients responded to ATRA and/or ATO. Death within 45 days from diagnosis occurred in 10 patients (∼29%). At the last follow-up, 23 patients had died, and the estimated 2-year cumulative incidence of relapse, event-free survival, and overall survival were 68.7%, 26.7%, and 33.5%, respectively. Unsupervised hierarchical clustering using RNA sequencing data from 201 patients with AML showed that 81.8% of the RARG fusion samples clustered together, suggesting a new molecular subtype. RARG rearrangement is a novel entity of AML that confers a poor prognosis. This study is registered with the Chinese Clinical Trial Registry (ChiCTR2200055810).
- Published
- 2023
41. Federated Document-Level Biomedical Relation Extraction with Localized Context Contrast.
- Author
-
Yan Xiao, Yaochu Jin, and Kuangrong Hao
- Published
- 2024
42. A Reconfigurable Continuous-Time Delta-Sigma Modulator Structure Using Hybrid Loop Filter and Time-Interleaved Quantizer.
- Author
-
Chen Chen 0040, Fangzhen Jiang, Peng Wang, Yongli Chen, Yan Xiao, Fule Li, and Xiang Xie
- Published
- 2024
- Full Text
- View/download PDF
43. Research and Application of Middle to Deep Formation Pressure Prediction and Monitoring Technology in Fukang Sag, Junggar Basin
- Author
-
Jin, Li-xin, Chang, Xiao-long, Cao, Xu, Tian, Ze-hua, Liu, Gang, Chen, Wei, Yan, Xiao-lei, Wu, Wei, Series Editor, and Lin, Jia'en, editor
- Published
- 2024
- Full Text
- View/download PDF
44. TICondition: Expanding Control Capabilities for Text-to-Image Generation with Multi-Modal Conditions
- Author
-
Yang, Yuhang, Yan, Xiao, Zhang, Sanyuan, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Rudinac, Stevan, editor, Hanjalic, Alan, editor, Liem, Cynthia, editor, Worring, Marcel, editor, Jónsson, Björn Þór, editor, Liu, Bei, editor, and Yamakata, Yoko, editor
- Published
- 2024
- Full Text
- View/download PDF
45. Cross-provincial inpatient mobility patterns and their determinants in China
- Author
-
Yang, Jintao, Yan, Bin, Fan, Shenggen, Ni, Zhenggang, Yan, Xiao, and Xiao, Gexin
- Published
- 2024
- Full Text
- View/download PDF
46. Accuracy of cell-free Mycobacterium tuberculosis DNA testing in pleural effusion for diagnosing tuberculous pleurisy: a multicenter cross-sectional study
- Author
-
Du, Wei-Li, Liang, Jian-Qin, Yang, Xin-Ting, Li, Cheng-Jun, Wang, Qing-Feng, Han, Wen-Ge, Li, Ye, Li, Zhi-Hui, Zhao, Dong-Mei, Xu, Fu-Dong, Rong, Yan-Xiao, Cui, Xiao-Jing, Li, Hui-Min, Wang, Feng, Liu, Peng-Chong, Guo, Dong-Lin, Wang, Hai-Bin, Xing, Xu-Ya, Che, Jia-Lu, Liu, Zi-Chen, Zhang, Na-Na, Li, Kun, Liu, Yi, Wang, Li, Wang, Hai-Bo, and Che, Nan-Ying
- Published
- 2024
- Full Text
- View/download PDF
47. MFGE8 promotes adult hippocampal neurogenesis in rats following experimental subarachnoid hemorrhage via modifying the integrin β3/Akt signaling pathway
- Author
-
Li, Zhen-Yan, Yang, Xian, Wang, Ji-Kai, Yan, Xiao-Xin, Liu, Fei, and Zuo, Yu-Chun
- Published
- 2024
- Full Text
- View/download PDF
48. Author Correction: Unravelling the spatial directionality of urban mobility
- Author
-
Zhao, Pengjun, Wang, Hao, Liu, Qiyang, Yan, Xiao-Yong, and Li, Jingzhong
- Published
- 2024
- Full Text
- View/download PDF
49. A generalized vector-field framework for mobility
- Author
-
Liu, Erjian, Mazzoli, Mattia, Yan, Xiao-Yong, and Ramasco, José J.
- Published
- 2024
- Full Text
- View/download PDF
50. TORSEL, a 4EBP1-based mTORC1 live-cell sensor, reveals nutrient-sensing targeting by histone deacetylase inhibitors
- Author
-
Li, Canrong, Yi, Yuguo, Ouyang, Yingyi, Chen, Fengzhi, Lu, Chuxin, Peng, Shujun, Wang, Yifan, Chen, Xinyu, Yan, Xiao, Xu, Haolun, Li, Shuiming, Feng, Lin, and Xie, Xiaoduo
- Published
- 2024
- Full Text
- View/download PDF
Catalog
Discovery Service for Jio Institute Digital Library
For full access to our library's resources, please sign in.