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488 results on '"Jin, Peiquan"'

1. LN-Gen: Rectal Lymph Nodes Generation via Anatomical Features

Author

Guo, Weidong, Zhang, Hantao, Wan, Shouhong, Zou, Bingbing, Wang, Wanqin, and Jin, Peiquan

Subjects
Electrical Engineering and Systems Science - Image and Video Processing, Computer Science - Computer Vision and Pattern Recognition
Abstract

Accurate segmentation of rectal lymph nodes is crucial for the staging and treatment planning of rectal cancer. However, the complexity of the surrounding anatomical structures and the scarcity of annotated data pose significant challenges. This study introduces a novel lymph node synthesis technique aimed at generating diverse and realistic synthetic rectal lymph node samples to mitigate the reliance on manual annotation. Unlike direct diffusion methods, which often produce masks that are discontinuous and of suboptimal quality, our approach leverages an implicit SDF-based method for mask generation, ensuring the production of continuous, stable, and morphologically diverse masks. Experimental results demonstrate that our synthetic data significantly improves segmentation performance. Our work highlights the potential of diffusion model for accurately synthesizing structurally complex lesions, such as lymph nodes in rectal cancer, alleviating the challenge of limited annotated data in this field and aiding in advancements in rectal cancer diagnosis and treatment., Comment: 8 pages

Published
2024

2. Meply: A Large-scale Dataset and Baseline Evaluations for Metastatic Perirectal Lymph Node Detection and Segmentation

Author

Guo, Weidong, Zhang, Hantao, Wan, Shouhong, Zou, Bingbing, Wang, Wanqin, Qiu, Chenyang, Li, Jun, and Jin, Peiquan

Subjects
Computer Science - Computer Vision and Pattern Recognition, Computer Science - Machine Learning
Abstract

Accurate segmentation of metastatic lymph nodes in rectal cancer is crucial for the staging and treatment of rectal cancer. However, existing segmentation approaches face challenges due to the absence of pixel-level annotated datasets tailored for lymph nodes around the rectum. Additionally, metastatic lymph nodes are characterized by their relatively small size, irregular shapes, and lower contrast compared to the background, further complicating the segmentation task. To address these challenges, we present the first large-scale perirectal metastatic lymph node CT image dataset called Meply, which encompasses pixel-level annotations of 269 patients diagnosed with rectal cancer. Furthermore, we introduce a novel lymph-node segmentation model named CoSAM. The CoSAM utilizes sequence-based detection to guide the segmentation of metastatic lymph nodes in rectal cancer, contributing to improved localization performance for the segmentation model. It comprises three key components: sequence-based detection module, segmentation module, and collaborative convergence unit. To evaluate the effectiveness of CoSAM, we systematically compare its performance with several popular segmentation methods using the Meply dataset. Our code and dataset will be publicly available at: https://github.com/kanydao/CoSAM., Comment: 13 pages

Published
2024

5. CARE: A Large Scale CT Image Dataset and Clinical Applicable Benchmark Model for Rectal Cancer Segmentation

Author

Zhang, Hantao, Guo, Weidong, Qiu, Chenyang, Wan, Shouhong, Zou, Bingbing, Wang, Wanqin, and Jin, Peiquan

Subjects
Electrical Engineering and Systems Science - Image and Video Processing, Computer Science - Computer Vision and Pattern Recognition, Computer Science - Machine Learning
Abstract

Rectal cancer segmentation of CT image plays a crucial role in timely clinical diagnosis, radiotherapy treatment, and follow-up. Although current segmentation methods have shown promise in delineating cancerous tissues, they still encounter challenges in achieving high segmentation precision. These obstacles arise from the intricate anatomical structures of the rectum and the difficulties in performing differential diagnosis of rectal cancer. Additionally, a major obstacle is the lack of a large-scale, finely annotated CT image dataset for rectal cancer segmentation. To address these issues, this work introduces a novel large scale rectal cancer CT image dataset CARE with pixel-level annotations for both normal and cancerous rectum, which serves as a valuable resource for algorithm research and clinical application development. Moreover, we propose a novel medical cancer lesion segmentation benchmark model named U-SAM. The model is specifically designed to tackle the challenges posed by the intricate anatomical structures of abdominal organs by incorporating prompt information. U-SAM contains three key components: promptable information (e.g., points) to aid in target area localization, a convolution module for capturing low-level lesion details, and skip-connections to preserve and recover spatial information during the encoding-decoding process. To evaluate the effectiveness of U-SAM, we systematically compare its performance with several popular segmentation methods on the CARE dataset. The generalization of the model is further verified on the WORD dataset. Extensive experiments demonstrate that the proposed U-SAM outperforms state-of-the-art methods on these two datasets. These experiments can serve as the baseline for future research and clinical application development., Comment: 8 pages

Published
2023

6. Optimizing the B+tree Index with Hotness Awareness and Adaptivity

Author

Wei, Yufei, Wang, Hongtao, Jin, Peiquan, Goos, Gerhard, Series 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, Huang, De-Shuang, editor, Zhang, Xiankun, editor, and Pan, Yijie, editor

Published
2024
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7. HybridHash: An Efficient Hash Index for Encrypted Databases

Author

Lin, Boheng, Wang, Hongtao, Jin, Peiquan, Fang, Xiaoniu, Goos, Gerhard, Series 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, Huang, De-Shuang, editor, Zhang, Chuanlei, editor, and Guo, Jiayang, editor

Published
2024
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8. A Detail-Guided Multi-source Fusion Network for Remote Sensing Object Detection

Author

Li, Xiaoting, Wan, Shouhong, Zhang, Hantao, Jin, Peiquan, 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
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9. Region Feature Disentanglement for Domain Adaptive Object Detection

Author

Wang, Rui, Wan, Shouhong, Jin, Peiquan, 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, Iliadis, Lazaros, editor, Papaleonidas, Antonios, editor, Angelov, Plamen, editor, and Jayne, Chrisina, editor

Published
2023
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10. Music Emotion Recognition Using Multi-head Self-attention-Based Models

Author

Xiao, Yao, Ruan, Haoxin, Zhao, Xujian, Jin, Peiquan, Cai, Xuebo, 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, Huang, De-Shuang, editor, Premaratne, Prashan, editor, Jin, Baohua, editor, Qu, Boyang, editor, Jo, Kang-Hyun, editor, and Hussain, Abir, editor

Published
2023
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11. Automatically Generating Storylines from Microblogging Platforms

Author

Zhao, Xujian, Wang, Junli, Jin, Peiquan, Wang, Chongwei, Yang, Chunming, Li, Bo, Zhang, Hui, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Tanveer, Mohammad, editor, Agarwal, Sonali, editor, Ozawa, Seiichi, editor, Ekbal, Asif, editor, and Jatowt, Adam, editor

Published
2023
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12. Storyline Generation from News Articles Based on Approximate Personalized Propagation of Neural Predictions

Author

Wang, Junli, Zhao, Xujian, Jin, Peiquan, Yang, Chunming, Li, Bo, Zhang, Hui, 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, Wang, Xin, editor, Sapino, Maria Luisa, editor, Han, Wook-Shin, editor, El Abbadi, Amr, editor, Dobbie, Gill, editor, Feng, Zhiyong, editor, Shao, Yingxiao, editor, and Yin, Hongzhi, editor

Published
2023
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14. Fast Storage System for Time-series Big Data Streams Based on Waterwheel Model

Author

LU Mingchen, LYU Yanqi, LIU Ruicheng, JIN Peiquan

Subjects
time-series big data, streaming data, fast storage, waterwheel model, middleware, Computer software, QA76.75-76.765, Technology (General), T1-995
Abstract

With the rapid development of the Internet of Things,the scale of sensor deployment has been growing in recent years.Large-scale sensors generate massive streaming data every second,and the value of the data decreases over time.Therefore,the storage system needs to be able to withstand the write pressure brought by the high-speed arriving streaming data and persist the data as fast as possible for subsequent query and analysis.This poses a considerable challenge to the write performance of the storage system.The fast storage system based on the waterwheel model can meet the fast storage requirements of high-speed time-series data streams in big data application scenarios.The proposed system is deployed between high-speed streaming data and underlying storage nodes,using multiple data buckets to build a logically rotating storage model(similar to the ancient Chinese waterwheel),and coordinating data writing and persisting by controlling the state of each data bucket.Waterwheel sends data buckets to different underlying storage nodes,so that the instantaneous write pressure is evenly distributed to multiple underlying storage nodes,and the write throughput is improved with the help of multi-node parallel writing.The waterwheel model is deployed on a stand-alone version of MongoDB,and compared with the distributed MongoDB in experiments.The results show that the proposed system can effectively improve the write throughput of the system,reduce the write latency,and has good horizontal scalability.

Published
2023
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16. Efficient Data Placement for Zoned Namespaces (ZNS) SSDs

Author

Wang, Hongtao, Liu, Yang, Jin, Peiquan, Lu, Mingchen, Zhuang, Xiangyu, Lin, Yuanjing, Guo, Kuankuan, 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, Liu, Shaoshan, editor, and Wei, Xiaohui, editor

Published
2022
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17. An Error-Bounded Space-Efficient Hybrid Learned Index with High Lookup Performance

Author

Ding, Yuquan, Zhao, Xujian, Jin, Peiquan, 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, Strauss, Christine, editor, Cuzzocrea, Alfredo, editor, Kotsis, Gabriele, editor, Tjoa, A Min, editor, and Khalil, Ismail, editor

Published
2022
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18. HATree: A Hotness-Aware Tree Index with In-Node Hotspot Cache for NVM/DRAM-Based Hybrid Memory Architecture

Author

Liu, Gaocong, Luo, Yongping, Jin, Peiquan, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Bhattacharya, Arnab, editor, Lee Mong Li, Janice, editor, Agrawal, Divyakant, editor, Reddy, P. Krishna, editor, Mohania, Mukesh, editor, Mondal, Anirban, editor, Goyal, Vikram, editor, and Uday Kiran, Rage, editor

Published
2022
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19. Adaptive Buffering Scheme for PCM/DRAM-Based Hybrid Memory Architecture

Author

Wang, Xiaoliang, Chen, Kaimeng, Jin, Peiquan, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Cérin, Christophe, editor, Qian, Depei, editor, Gaudiot, Jean-Luc, editor, Tan, Guangming, editor, and Zuckerman, Stéphane, editor

Published
2022
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20. Optimizing B+-tree for hybrid memory with in-node hotspot cache and eADR awareness.

Author

Jin, Peiquan, Chu, Zhaole, Liu, Gaocong, Luo, Yongping, and Wan, Shouhong

Abstract

The advance in Non-Volatile Memory (NVM) has changed the traditional DRAM-only memory system. Compared to DRAM, NVM has the advantages of non-volatility and large capacity. However, as the read/write speed of NVM is still lower than that of DRAM, building DRAM/NVM-based hybrid memory systems is a feasible way of adding NVM into the current computer architecture. This paper aims to optimize the well-known B+-tree for hybrid memory. The novelty of this study is two-fold. First, we observed that the space utilization of internal nodes in B+-tree is generally below 70%. Inspired by this observation, we propose to maintain hot keys in the free space within internal nodes, yielding a new index named HATree (Hotness-Aware Tree). The new idea of HATree is to use the unused space of the parent of leaf nodes (PLNs) as the hotspot data cache. Thus, no extra space is needed, and the in-node hotspot cache can efficiently improve query performance. Second, to further improve the update performance of HATree, we propose to utilize the eADR technology supported by the third-generation Intel Xeon Scalable Processors to enhance HATree with instant log persistence, which results in the new HATree-Log structure. We conduct extensive experiments on real hybrid memory architecture involving DRAM and Intel Optane Persistent Memory to evaluate the performance of HATree and HATree-Log. Three state-of-the-art indices for hybrid memory, namely NBTree, LBTree, and FPTree, are included in the experiments, and the results suggest the efficiency of HATree and HATree-Log. [ABSTRACT FROM AUTHOR]

Published
2024
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21. A Similarity Constraint Divergent Activation Method for Weakly Supervised Object Detection in Remote Sensing Images

Author

Zhu, Mengmeng, Wan, Shouhong, Jin, Peiquan, Xu, Jian, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Peng, Yuxin, editor, Hu, Shi-Min, editor, Gabbouj, Moncef, editor, Zhou, Kun, editor, Elad, Michael, editor, and Xu, Kun, editor

Published
2021
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22. Discovering HOI Semantics from Massive Image Data

Author

Zheng, Mingguang, Wan, Shouhong, Jin, Peiquan, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Strauss, Christine, editor, Kotsis, Gabriele, editor, Tjoa, A Min, editor, and Khalil, Ismail, editor

Published
2021
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23. DFL-Net: Effective Object Detection via Distinguishable Feature Learning

Author

Xie, Jia, Wan, Shouhong, Jin, Peiquan, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Strauss, Christine, editor, Kotsis, Gabriele, editor, Tjoa, A Min, editor, and Khalil, Ismail, editor

Published
2021
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24. Few-Shot Learning with Random Erasing and Task-Relevant Feature Transforming

Author

Wang, Xin, Wan, Shouhong, Jin, Peiquan, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Farkaš, Igor, editor, Masulli, Paolo, editor, Otte, Sebastian, editor, and Wermter, Stefan, editor

Published
2021
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25. Competitor Mining from Web Encyclopedia: A Graph Embedding Approach

Author

Hong, Xin, Jin, Peiquan, Mu, Lin, Zhao, Jie, Wan, Shouhong, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Huang, Zhisheng, editor, Beek, Wouter, editor, Wang, Hua, editor, Zhou, Rui, editor, and Zhang, Yanchun, editor

Published
2020
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26. Effective Sentiment Analysis for Multimodal Review Data on the Web

Author

Jin, Peiquan, Li, Jianchuan, Mu, Lin, Zhou, Jingren, Zhao, Jie, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, and Qiu, Meikang, editor

Published
2020
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27. Efficient Sorting and Join on NVM-Based Hybrid Memory

Author

Luo, Yongping, Chu, Zhaole, Jin, Peiquan, Wan, Shouhong, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, and Qiu, Meikang, editor

Published
2020
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28. MDSE: Searching Multi-source Heterogeneous Material Data via Semantic Information Extraction

Author

Liang, Jialing, Jin, Peiquan, Mu, Lin, Hong, Xin, Qi, Linli, Wan, Shouhong, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Nah, Yunmook, editor, Cui, Bin, editor, Lee, Sang-Won, editor, Yu, Jeffrey Xu, editor, Moon, Yang-Sae, editor, and Whang, Steven Euijong, editor

Published
2020
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32. High-Performance Remote Data Persisting for Key-Value Stores via Persistent Memory Region

Author

Luo, Yongping, Jin, Peiquan, Wang, Xiaoliang, Chu, Zhaole, Guo, Kuankuan, and Guo, Jinhui

Abstract

Key-value stores (KVStores), such as LevelDB and Redis, have been widely used in real-world production environments. To guarantee data durability and availability, traditional KVStores suffer from high write latency, mainly caused by the long network and data-persisting time. To solve this problem, this article presents a novel data-persisting path for KVStores, allowing remote clients to persist data to the KVStore server with $\mu s$ -level latency. The novelty of this study is threefold. First, we propose PMRDirect, which utilizes a persistent memory region (PMR) in the NVM express standard to construct a direct data-persisting path from the RDMA networking card (NIC) to the PMR region inside an SSD. Second, to showcase PMRDirect in KVStores, we developed a new accessing stack called PMRAccess, enabling remote clients to access existing KVStores and providing durability for each write request. Specifically, we present a low-latency RDMA-based messaging mode and a chunk-based PMR management in PMRAccess to reduce write latency and improve system throughput. Finally, we conducted extensive experiments to evaluate the performance of our proposals. We first compared PMRDirect with a few remote data-persisting paths to show its effectiveness. Then, we evaluated PMRAccess upon two KVStores, including LibCuckoo (an in-memory KVStore) and LevelDB (an in-storage KVStore). The results showed that PMRAccess outperformed the SSD-based accessing stack by up to $6.1\times $ in write throughput and $36\times $ in write tail latency, and it achieved $1.7\times $ higher write throughput and $0.59\times $ lower write tail latency over the PMEM-based accessing stack. Further, we conducted a system-to-system comparison between the PMRAccess-integrated LibCuckoo and Redis, and the results showed our proposal achieved up to $13\times $ higher throughputs and $40\times $ lower write latency than Redis.

Published
2024
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33. NOBtree: A NUMA-Optimized Tree Index for Nonvolatile Memory

Author

Chu, Zhaole, Jin, Peiquan, Luo, Yongping, Wang, Xiaoliang, and Wan, Shouhong

Abstract

Nonvolatile memory (NVM) suffers from more serious nonuniform memory access (NUMA) effects than DRAM because of the lower bandwidth and higher latency. While numerous works have aimed at optimizing NVM indexes, only a few of them tried to address the NUMA impact. Existing approaches mainly rely on local NVM write buffers or DRAM-based read buffers to mitigate the cost of remote NVM access, which introduces memory overhead and causes performance degradation for lookup and scan operations. In this article, we present NOBtree, a new NUMA-optimized persistent tree index. The novelty of NOBtree is two-fold. First, NOBtree presents per-NUMA replication and an efficient node-migration mechanism to reduce remote NVM access. Second, NOBtree proposes a NUMA-aware NVM allocator to improve the insert performance and scalability. We conducted experiments on six workloads to evaluate the performance of NOBtree. The results show that NOBtree can effectively reduce the number of remote NVM accesses. Moreover, NOBtree outperforms existing persistent indexes, including TLBtree, Fast&Fair, ROART, and PACtree, by up to $3.23\times $ in throughput and $4.07\times $ in latency.

Published
2024
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35. MHEF-TripNet: Mixed Triplet Loss with Hard Example Feedback Network for Image Retrieval

Author

Yang, Xuebin, Wan, Shouhong, Jin, Peiquan, Zou, Chang, Li, Xingyue, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Zhao, Yao, editor, Barnes, Nick, editor, Chen, Baoquan, editor, Westermann, Rüdiger, editor, Kong, Xiangwei, editor, and Lin, Chunyu, editor

Published
2019
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36. Agile Query Processing in Statistical Databases: A Process-In-Memory Approach

Author

Lu, Shanshan, Jin, Peiquan, Mu, Lin, Wan, Shouhong, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Douligeris, Christos, editor, Karagiannis, Dimitris, editor, and Apostolou, Dimitris, editor

Published
2019
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37. OperaMiner: Extracting Character Relations from Opera Scripts Using Deep Neural Networks

Author

Zhao, Xujian, Dai, Xinnan, Jin, Peiquan, Zhang, Hui, Yang, Chunming, Li, Bo, Hutchison, David, Editorial Board Member, Kanade, Takeo, Editorial Board Member, Kittler, Josef, Editorial Board Member, Kleinberg, Jon M., Editorial Board Member, Mattern, Friedemann, Editorial Board Member, Mitchell, John C., Editorial Board Member, Naor, Moni, Editorial Board Member, Pandu Rangan, C., Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Terzopoulos, Demetri, Editorial Board Member, Tygar, Doug, Editorial Board Member, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Li, Guoliang, editor, Yang, Jun, editor, Gama, Joao, editor, Natwichai, Juggapong, editor, and Tong, Yongxin, editor

Published
2019
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38. Efficient Processing of Spatial Group Preference Queries

Author

Zhang, Zhou, Jin, Peiquan, Tian, Yuan, Wan, Shouhong, Yue, Lihua, Hutchison, David, Editorial Board Member, Kanade, Takeo, Editorial Board Member, Kittler, Josef, Editorial Board Member, Kleinberg, Jon M., Editorial Board Member, Mattern, Friedemann, Editorial Board Member, Mitchell, John C., Editorial Board Member, Naor, Moni, Editorial Board Member, Pandu Rangan, C., Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Terzopoulos, Demetri, Editorial Board Member, Tygar, Doug, Editorial Board Member, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Li, Guoliang, editor, Yang, Jun, editor, Gama, Joao, editor, Natwichai, Juggapong, editor, and Tong, Yongxin, editor

Published
2019
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46. Airplane Fine-Grained Classification in Remote Sensing Images via Transferred CNN-Based Models

Author

Yan, Li, Wan, Shouhong, Jin, Peiquan, Zou, Chang, Barbosa, Simone Diniz Junqueira, Series Editor, Filipe, Joaquim, Series Editor, Kotenko, Igor, Series Editor, Sivalingam, Krishna M., Series Editor, Washio, Takashi, Series Editor, Yuan, Junsong, Series Editor, Zhou, Lizhu, Series Editor, Yuan, Hanning, editor, Geng, Jing, editor, Liu, Chuanlu, editor, Bian, Fuling, editor, and Surapunt, Tisinee, editor

Published
2018
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47. EventSys: Tracking Event Evolution on Microblogging Platforms

Author

Mu, Lin, Jin, Peiquan, Zheng, Lizhou, Chen, En-Hong, Hutchison, David, Editorial Board Member, Kanade, Takeo, Editorial Board Member, Kittler, Josef, Editorial Board Member, Kleinberg, Jon M., Editorial Board Member, Mattern, Friedemann, Editorial Board Member, Mitchell, John C., Editorial Board Member, Naor, Moni, Editorial Board Member, Pandu Rangan, C., Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Terzopoulos, Demetri, Editorial Board Member, Tygar, Doug, Editorial Board Member, Weikum, Gerhard, Series Editor, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Pei, Jian, editor, Manolopoulos, Yannis, editor, Sadiq, Shazia, editor, and Li, Jianxin, editor

Published
2018
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48. A Novel Feature Fusion with Self-adaptive Weight Method Based on Deep Learning for Image Classification

Author

Tian, Qijun, Wan, Shouhong, Jin, Peiquan, Xu, Jian, Zou, Chang, Li, Xingyue, Hutchison, David, Series Editor, Kanade, Takeo, Series Editor, Kittler, Josef, Series Editor, Kleinberg, Jon M., Series Editor, Mattern, Friedemann, Series Editor, Mitchell, John C., Series Editor, Naor, Moni, Series Editor, Pandu Rangan, C., Series Editor, Steffen, Bernhard, Series Editor, Terzopoulos, Demetri, Series Editor, Tygar, Doug, Series Editor, Weikum, Gerhard, Series Editor, Hong, Richang, editor, Cheng, Wen-Huang, editor, Yamasaki, Toshihiko, editor, Wang, Meng, editor, and Ngo, Chong-Wah, editor

Published
2018
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