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1. Multi-Language Probabilistic Programming

Author

Stites, Sam, Li, John M., and Holtzen, Steven

Subjects
Computer Science - Programming Languages
Abstract

There are many different probabilistic programming languages that are specialized to specific kinds of probabilistic programs. From a usability and scalability perspective, this is undesirable: today, probabilistic programmers are forced up-front to decide which language they want to use and cannot mix-and-match different languages for handling heterogeneous programs. To rectify this, we seek a foundation for sound interoperability for probabilistic programming languages: just as today's Python programmers can resort to low-level C programming for performance, we argue that probabilistic programmers should be able to freely mix different languages for meeting the demands of heterogeneous probabilistic programming environments. As a first step towards this goal, we introduce \textsc{MultiPPL}, a probabilistic multi-language that enables programmers to interoperate between two different probabilistic programming languages: one that leverages a high-performance exact discrete inference strategy, and one that uses approximate importance sampling. We give a syntax and semantics for \textsc{MultiPPL}, prove soundness of its inference algorithm, and provide empirical evidence that it enables programmers to perform inference on complex heterogeneous probabilistic programs and flexibly exploits the strengths and weaknesses of two languages simultaneously.%, Comment: Accepted for publication at OOPSLA 2025 (R1)

Published
2025

2. FrameCorr: Adaptive, Autoencoder-based Neural Compression for Video Reconstruction in Resource and Timing Constrained Network Settings

Author

Li, John, Ahmed, Shehab Sarar, and Nair, Deepak

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

Despite the growing adoption of video processing via Internet of Things (IoT) devices due to their cost-effectiveness, transmitting captured data to nearby servers poses challenges due to varying timing constraints and scarcity of network bandwidth. Existing video compression methods face difficulties in recovering compressed data when incomplete data is provided. Here, we introduce FrameCorr, a deep-learning based solution that utilizes previously received data to predict the missing segments of a frame, enabling the reconstruction of a frame from partially received data.

Published
2024

3. Apple Intelligence Foundation Language Models

Author

Gunter, Tom, Wang, Zirui, Wang, Chong, Pang, Ruoming, Narayanan, Andy, Zhang, Aonan, Zhang, Bowen, Chen, Chen, Chiu, Chung-Cheng, Qiu, David, Gopinath, Deepak, Yap, Dian Ang, Yin, Dong, Nan, Feng, Weers, Floris, Yin, Guoli, Huang, Haoshuo, Wang, Jianyu, Lu, Jiarui, Peebles, John, Ye, Ke, Lee, Mark, Du, Nan, Chen, Qibin, Keunebroek, Quentin, Wiseman, Sam, Evans, Syd, Lei, Tao, Rathod, Vivek, Kong, Xiang, Du, Xianzhi, Li, Yanghao, Wang, Yongqiang, Gao, Yuan, Ahmed, Zaid, Xu, Zhaoyang, Lu, Zhiyun, Rashid, Al, Jose, Albin Madappally, Doane, Alec, Bencomo, Alfredo, Vanderby, Allison, Hansen, Andrew, Jain, Ankur, Anupama, Anupama Mann, Kamal, Areeba, Wu, Bugu, Brum, Carolina, Maalouf, Charlie, Erdenebileg, Chinguun, Dulhanty, Chris, Moritz, Dominik, Kang, Doug, Jimenez, Eduardo, Ladd, Evan, Shi, Fangping, Bai, Felix, Chu, Frank, Hohman, Fred, Kotek, Hadas, Coleman, Hannah Gillis, Li, Jane, Bigham, Jeffrey, Cao, Jeffery, Lai, Jeff, Cheung, Jessica, Shan, Jiulong, Zhou, Joe, Li, John, Qin, Jun, Singh, Karanjeet, Vega, Karla, Zou, Kelvin, Heckman, Laura, Gardiner, Lauren, Bowler, Margit, Cordell, Maria, Cao, Meng, Hay, Nicole, Shahdadpuri, Nilesh, Godwin, Otto, Dighe, Pranay, Rachapudi, Pushyami, Tantawi, Ramsey, Frigg, Roman, Davarnia, Sam, Shah, Sanskruti, Guha, Saptarshi, Sirovica, Sasha, Ma, Shen, Ma, Shuang, Wang, Simon, Kim, Sulgi, Jayaram, Suma, Shankar, Vaishaal, Paidi, Varsha, Kumar, Vivek, Wang, Xin, Zheng, Xin, Cheng, Walker, Shrager, Yael, Ye, Yang, Tanaka, Yasu, Guo, Yihao, Meng, Yunsong, Luo, Zhao Tang, Ouyang, Zhi, Aygar, Alp, Wan, Alvin, Walkingshaw, Andrew, Lin, Antonie, Farooq, Arsalan, Ramerth, Brent, Reed, Colorado, Bartels, Chris, Chaney, Chris, Riazati, David, Yang, Eric Liang, Feldman, Erin, Hochstrasser, Gabriel, Seguin, Guillaume, Belousova, Irina, Pelemans, Joris, Yang, Karen, Vahid, Keivan Alizadeh, Cao, Liangliang, Najibi, Mahyar, Zuliani, Marco, Horton, Max, Cho, Minsik, Bhendawade, Nikhil, Dong, Patrick, Maj, Piotr, Agrawal, Pulkit, Shan, Qi, Fu, Qichen, Poston, Regan, Xu, Sam, Liu, Shuangning, Rao, Sushma, Heeramun, Tashweena, Merth, Thomas, Rayala, Uday, Cui, Victor, Sridhar, Vivek Rangarajan, Zhang, Wencong, Zhang, Wenqi, Wu, Wentao, Zhou, Xingyu, Liu, Xinwen, Zhao, Yang, Xia, Yin, Ren, Zhile, and Ren, Zhongzheng

Subjects
Computer Science - Artificial Intelligence, Computer Science - Computation and Language, Computer Science - Machine Learning
Abstract

We present foundation language models developed to power Apple Intelligence features, including a ~3 billion parameter model designed to run efficiently on devices and a large server-based language model designed for Private Cloud Compute. These models are designed to perform a wide range of tasks efficiently, accurately, and responsibly. This report describes the model architecture, the data used to train the model, the training process, how the models are optimized for inference, and the evaluation results. We highlight our focus on Responsible AI and how the principles are applied throughout the model development.

Published
2024

5. Web3D-Based Lightweight Simulation for Mass Evacuation at Transportation Hubs

Author

Li, John, Liu, Zhicheng, Tian, Feng, Jia, Jinyuan, 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, Magnenat-Thalmann, Nadia, editor, Kim, Jinman, editor, Sheng, Bin, editor, Deng, Zhigang, editor, Thalmann, Daniel, editor, and Li, Ping, editor

Published
2025
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6. A Nominal Approach to Probabilistic Separation Logic

Author

Li, John M., Aytac, Jon, Johnson-Freyd, Philip, Ahmed, Amal, and Holtzen, Steven

Subjects
Computer Science - Programming Languages, Computer Science - Logic in Computer Science
Abstract

Currently, there is a gap between the tools used by probability theorists and those used in formal reasoning about probabilistic programs. On the one hand, a probability theorist decomposes probabilistic state along the simple and natural product of probability spaces. On the other hand, recently developed probabilistic separation logics decompose state via relatively unfamiliar measure-theoretic constructions for computing unions of sigma-algebras and probability measures. We bridge the gap between these two perspectives by showing that these two methods of decomposition are equivalent up to a suitable equivalence of categories. Our main result is a probabilistic analog of the classic equivalence between the category of nominal sets and the Schanuel topos. Through this equivalence, we validate design decisions in prior work on probabilistic separation logic and create new connections to nominal-set-like models of probability.

Published
2024

7. LINE-1 transcription activates long-range gene expression

Author

Li, Xiufeng, Bie, Luyao, Wang, Yang, Hong, Yaqiang, Zhou, Ziqiang, Fan, Yiming, Yan, Xiaohan, Tao, Yibing, Huang, Chunyi, Zhang, Yongyan, Sun, Xueyan, Li, John Xiao He, Zhang, Jing, Chang, Zai, Xi, Qiaoran, Meng, Anming, Shen, Xiaohua, Xie, Wei, and Liu, Nian

Published
2024
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8. Nondestructive flash cathode recycling

Author

Chen, Weiyin, Cheng, Yi, Chen, Jinhang, Bets, Ksenia V., Salvatierra, Rodrigo V., Ge, Chang, Li, John Tianci, Luong, Duy Xuan, Kittrell, Carter, Wang, Zicheng, McHugh, Emily A., Gao, Guanhui, Deng, Bing, Han, Yimo, Yakobson, Boris I., and Tour, James M.

Published
2024
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10. Cross-neutralizing antibody against emerging Omicron subvariants of SARS-CoV-2 in infection-naïve individuals with homologous BNT162b2 or BNT162b2(WT + BA.4/5) bivalent booster vaccination

Author

Cheng, Samuel M.S., Mok, Chris K.P., Li, John K.C., Chan, Ken K.P., Luk, Kristine S., Lee, Ben H.W., Gu, Haogao, Chan, Karl C.K., Tsang, Leo C.H., Yiu, Karen Y.S., Ling, Ken K.C., Tang, Yun Sang, Luk, Leo L.H., Yu, Jennifer K.M., Pekosz, Andrew, Webby, Richard J., Cowling, Benjamin J., Hui, David S.C., and Peiris, Malik

Published
2024
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11. Lilac: A Modal Separation Logic for Conditional Probability

Author

Li, John M., Ahmed, Amal, and Holtzen, Steven

Subjects
Computer Science - Programming Languages, Computer Science - Logic in Computer Science, F.3.1, F.3.2
Abstract

We present Lilac, a separation logic for reasoning about probabilistic programs where separating conjunction captures probabilistic independence. Inspired by an analogy with mutable state where sampling corresponds to dynamic allocation, we show how probability spaces over a fixed, ambient sample space appear to be the natural analogue of heap fragments, and present a new combining operation on them such that probability spaces behave like heaps and measurability of random variables behaves like ownership. This combining operation forms the basis for our model of separation, and produces a logic with many pleasant properties. In particular, Lilac has a frame rule identical to the ordinary one, and naturally accommodates advanced features like continuous random variables and reasoning about quantitative properties of programs. Then we propose a new modality based on disintegration theory for reasoning about conditional probability. We show how the resulting modal logic validates examples from prior work, and give a formal verification of an intricate weighted sampling algorithm whose correctness depends crucially on conditional independence structure., Comment: Accepted to PLDI 2023

Published
2023

12. Development of a Wearable Cardiac Monitoring System for Behavioral Neurocardiac Training: A Usability Study

Author

Uddin, Akib A, Morita, Plinio P, Tallevi, Kevin, Armour, Kevin, Li, John, Nolan, Robert P, and Cafazzo, Joseph A

Subjects
Information technology, T58.5-58.64, Public aspects of medicine, RA1-1270
Abstract

BackgroundElevated blood pressure is one of the main risk factors for death globally. Behavioral neurocardiac training (BNT) is a complementary approach to blood pressure and stress management that is intended to exercise the autonomic reflexes, improve stress recovery, and lower blood pressure. BNT involves cognitive-behavioral therapy with a paced breathing technique and heart rate variability biofeedback. BNT is limited to in-clinic delivery and faces an accessibility barrier because of the need for clinical oversight and the use of complex monitoring tools. ObjectiveThe objective of this project was to design, develop, and evaluate a wearable electrocardiographic (ECG) sensor system for the delivery of BNT in a home setting. MethodsThe wearable sensor system, Beat, consists of an ECG sensor and a mobile app. It was developed iteratively using the principles of test-driven Agile development and user-centered design. A usability study was conducted at Toronto General Hospital to evaluate feasibility and user experience and identify areas of improvement. ResultsThe Beat sensor was designed as a modular patch to be worn on the user’s chest and uses standard ECG electrodes. It streams a single-lead ECG wirelessly to a mobile phone using Bluetooth Low Energy. The use of small, low-power electronics, a low device profile, and a tapered enclosure allowed for a device that can be unobtrusively worn under clothing. The sensor was designed to operate with a mobile app that guides users through the BNT exercises to train them to a slow-paced breathing technique for stress recovery. The BNT app uses the ECG captured by the sensor to provide heart rate variability biofeedback in the form of a real-time heart rate waveform to complement and reinforce the impact of the training. Usability testing (n=6) indicated that the overall response to the design and user experience of the system was perceived positively. All participants indicated that the system had a positive effect on stress management and that they would use it at home. Areas of improvement were identified, which focused primarily on the delivery of training and education on BNT through the app. ConclusionsThe outcome of this project was a wearable sensor system to deliver BNT at home. The system has the potential to offer a complementary approach to blood pressure and stress management at home and reduce current accessibility barriers.

Published
2016
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14. Superior antibody and membrane protein-specific T-cell responses to CoronaVac by intradermal versus intramuscular routes in adolescents

Author

Rosa Duque, Jaime S., Cheng, Samuel M. S., Cohen, Carolyn A., Leung, Daniel, Wang, Xiwei, Mu, Xiaofeng, Chung, Yuet, Lau, Tsun Ming, Wang, Manni, Zhang, Wenyue, Zhang, Yanmei, Wong, Howard H. W., Tsang, Leo C. H., Chaothai, Sara, Kwan, Tsz Chun, Li, John K. C., Chan, Karl C. K., Luk, Leo L. H., Ho, Jenson C. H., Li, Wing Yan, Lee, Amos M. T., Lam, Jennifer H. Y., Chan, Sau Man, Wong, Wilfred H. S., Tam, Issan Y. S., Mori, Masashi, Valkenburg, Sophie A., Peiris, Malik, Tu, Wenwei, and Lau, Yu Lung

Published
2024
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21. Integrin αvβ8 on T cells suppresses anti-tumor immunity in multiple models and is a promising target for tumor immunotherapy.

Author

Dodagatta-Marri, Eswari, Ma, Hsiao-Yen, Liang, Benjia, Li, John, Meyer, Dominique S, Chen, Szu-Ying, Sun, Kai-Hui, Ren, Xin, Zivak, Bahar, Rosenblum, Michael D, Headley, Mark B, Pinzas, Lauren, Reed, Nilgun I, Del Cid, Joselyn S, Hann, Byron C, Yang, Sharon, Giddabasappa, Anand, Noorbehesht, Kavon, Yang, Bing, Dal Porto, Joseph, Tsukui, Tatsuya, Niessen, Kyle, Atakilit, Amha, Akhurst, Rosemary J, and Sheppard, Dean

Subjects
CD8 T cells, TGFbeta, alphavbeta8, anti-tumor immunity, integrin, Biochemistry and Cell Biology, Medical Physiology
Abstract

αvβ8 integrin, a key activator of transforming growth factor β (TGF-β), inhibits anti-tumor immunity. We show that a potent blocking monoclonal antibody against αvβ8 (ADWA-11) causes growth suppression or complete regression in syngeneic models of squamous cell carcinoma, mammary cancer, colon cancer, and prostate cancer, especially when combined with other immunomodulators or radiotherapy. αvβ8 is expressed at the highest levels in CD4+CD25+ T cells in tumors, and specific deletion of β8 from T cells is as effective as ADWA-11 in suppressing tumor growth. ADWA-11 increases expression of a suite of genes in tumor-infiltrating CD8+ T cells normally inhibited by TGF-β and involved in tumor cell killing, including granzyme B and interferon-γ. The in vitro cytotoxic effect of tumor CD8 T cells is inhibited by CD4+CD25+ cells, and this suppressive effect is blocked by ADWA-11. These findings solidify αvβ8 integrin as a promising target for cancer immunotherapy.

Published
2021

24. IRF4 in Skeletal Muscle Regulates Exercise Capacity via PTG/Glycogen Pathway

Author

Zhu, Xiaopeng, Yao, Ting, Wang, Ru, Guo, Shanshan, Wang, Xin, Zhou, Zhenqi, Zhang, Yan, Zhuo, Xiaozhen, Wang, Ruitao, Li, John Zhong, Liu, Tiemin, and Kong, Xingxing

Subjects
Health Sciences, Sports Science and Exercise, Nutrition, Diabetes, 2.1 Biological and endogenous factors, Aetiology, Musculoskeletal, exercise capacity, glycogen, IRF4, PTG, skeletal muscle
Abstract

Exercise-induced fatigue and exhaustion are interesting areas for many researchers. Muscle glycogen is critical for physical performance. However, how glycogen metabolism is manipulated during exercise is not very clear. The aim here is to assess the impact of interferon regulatory factor 4 (IRF4) on skeletal muscle glycogen and subsequent regulation of exercise capacity. Skeletal muscle-specific IRF4 knockout mice show normal body weight and insulin sensitivity, but better exercise capacity and increased glycogen content with unaltered triglyceride levels compared to control mice on chow diet. In contrast, mice overexpression of IRF4 displays decreased exercise capacity and lower glycogen content. Mechanistically, IRF4 regulates glycogen-associated regulatory subunit protein targeting to glycogen (PTG) to manipulate glucose metabolism in skeletal muscle. Knockdown of PTG can reverse the effects imposed by the absence of IRF4 in vivo. These studies reveal a regulatory pathway including IRF4/PTG/glycogen synthesis on controlling exercise capacity.

Published
2020

25. Comparative antibody and cell-mediated immune responses, reactogenicity, and efficacy of homologous and heterologous boosting with CoronaVac and BNT162b2 (Cobovax): an open-label, randomised trial

Author

Leung, Nancy H L, Cheng, Samuel M S, Cohen, Carolyn A, Martín-Sánchez, Mario, Au, Niki Y M, Luk, Leo L H, Tsang, Leo C H, Kwan, Kelvin K H, Chaothai, Sara, Fung, Lison W C, Cheung, Alan W L, Chan, Karl C K, Li, John K C, Ng, Yvonne Y, Kaewpreedee, Prathanporn, Jia, Janice Z, Ip, Dennis K M, Poon, Leo L M, Leung, Gabriel M, Peiris, J S Malik, Valkenburg, Sophie A, and Cowling, Benjamin J

Published
2023
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26. Limitations of Pinned AUC for Measuring Unintended Bias

Author

Borkan, Daniel, Dixon, Lucas, Li, John, Sorensen, Jeffrey, Thain, Nithum, and Vasserman, Lucy

Subjects
Statistics - Machine Learning, Computer Science - Machine Learning
Abstract

This report examines the Pinned AUC metric introduced and highlights some of its limitations. Pinned AUC provides a threshold-agnostic measure of unintended bias in a classification model, inspired by the ROC-AUC metric. However, as we highlight in this report, there are ways that the metric can obscure different kinds of unintended biases when the underlying class distributions on which bias is being measured are not carefully controlled.

Published
2019

31. Coordinating Tissue Regeneration Through Transforming Growth Factor‐β Activated Kinase 1 Inactivation and Reactivation

Author

Hsieh, Hsiao Hsin Sung, Agarwal, Shailesh, Cholok, David J, Loder, Shawn J, Kaneko, Kieko, Huber, Amanda, Chung, Michael T, Ranganathan, Kavitha, Habbouche, Joe, Li, John, Butts, Jonathan, Reimer, Jonathan, Kaura, Arminder, Drake, James, Breuler, Christopher, Priest, Caitlin R, Nguyen, Joe, Brownley, Cameron, Peterson, Jonathan, Ozgurel, Serra Ucer, Niknafs, Yashar S, Li, Shuli, Inagaki, Maiko, Scott, Greg, Krebsbach, Paul H, Longaker, Michael T, Westover, Kenneth, Gray, Nathanael, Ninomiya‐Tsuji, Jun, Mishina, Yuji, and Levi, Benjamin

Subjects
Biomedical and Clinical Sciences, Stem Cell Research, Regenerative Medicine, Musculoskeletal, Good Health and Well Being, Animals, Bone Regeneration, Cell Differentiation, Cell Proliferation, DNA Nucleotidyltransferases, Female, Founder Effect, Fractures, Bone, Gene Expression Regulation, Integrases, MAP Kinase Kinase Kinases, Male, Mesenchymal Stem Cells, Mice, Mice, Inbred C57BL, Mice, Transgenic, Osteoblasts, Primary Cell Culture, Protein Kinase Inhibitors, Signal Transduction, Skull, Wound Healing, Cellular proliferation, Differentiation, Progenitor cells, Proliferation, Stem, progenitor cell, Tissue regeneration, Stem/progenitor cell, Biological Sciences, Technology, Medical and Health Sciences, Immunology, Biological sciences, Biomedical and clinical sciences
Abstract

Aberrant wound healing presents as inappropriate or insufficient tissue formation. Using a model of musculoskeletal injury, we demonstrate that loss of transforming growth factor-β activated kinase 1 (TAK1) signaling reduces inappropriate tissue formation (heterotopic ossification) through reduced cellular differentiation. Upon identifying increased proliferation with loss of TAK1 signaling, we considered a regenerative approach to address insufficient tissue production through coordinated inactivation of TAK1 to promote cellular proliferation, followed by reactivation to elicit differentiation and extracellular matrix production. Although the current regenerative medicine paradigm is centered on the effects of drug treatment ("drug on"), the impact of drug withdrawal ("drug off") implicit in these regimens is unknown. Because current TAK1 inhibitors are unable to phenocopy genetic Tak1 loss, we introduce the dual-inducible COmbinational Sequential Inversion ENgineering (COSIEN) mouse model. The COSIEN mouse model, which allows us to study the response to targeted drug treatment ("drug on") and subsequent withdrawal ("drug off") through genetic modification, was used here to inactivate and reactivate Tak1 with the purpose of augmenting tissue regeneration in a calvarial defect model. Our study reveals the importance of both the "drug on" (Cre-mediated inactivation) and "drug off" (Flp-mediated reactivation) states during regenerative therapy using a mouse model with broad utility to study targeted therapies for disease. Stem Cells 2019;37:766-778.

Published
2019

32. Natural Reassortment of Eurasian Avian-Like Swine H1N1 and Avian H9N2 Influenza Viruses in Pigs, China

Author

Sun, Wanying, Cheng, Samuel S.M., Lam, Kristy N.T., Kwan, Tsz C., Wong, Ricky W.K., Lau, Leo H.K., Liu, Gigi Y.Z., Luk, Leo L.H., Li, John K.C., Gu, Haogao, Peiris, Malik, and Poon, Leo L.M.

Subjects
Identification and classification, Genetic aspects, Causes of, Influenza viruses -- Identification and classification -- Genetic aspects, Swine diseases -- Causes of, Zoonoses -- Causes of, Swine -- Diseases
Abstract

Swine are regarded as a mixing vessel for influenza A viruses (IAVs) (1). Avian, swine, and human IAVs can co-infect pigs and generate novel reassortants of zoonotic or pandemic potential. [...]

Published
2022
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34. Plaque-neutralizing antibody to BA.2.12.1, BA.4 and BA.5 in individuals with three doses of BioNTech or CoronaVac vaccines, natural infection and breakthrough infection

Author

Cheng, Samuel SM, Mok, Chris KP, Li, John KC, Ng, Susanna S, Lam, Bosco HS, Jeevan, Trushar, Kandeil, Ahmed, Pekosz, Andrew, Chan, Karl CK, Tsang, Leo CH, Ko, Fanny W, Chen, Chunke, Yiu, Karen, Luk, Leo LH, Chan, Ken KP, Webby, Richard J, Poon, Leo LM, Hui, David SC, and Peiris, Malik

Published
2022
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36. Global Policy Barriers and Enablers to Exercise and Physical Activity in Kidney Care

Author

Bennett, Paul N., Kohzuki, Masahiro, Bohm, Clara, Roshanravan, Baback, Bakker, Stephan J.L., Viana, João L., MacRae, Jennifer M., Wilkinson, Thomas J., Wilund, Kenneth R., Van Craenenbroeck, Amaryllis H., Sakkas, Giorgos K., Mustata, Stefan, Fowler, Kevin, McDonald, Jamie, Aleamañy, Geovana Martin, Anding, Kirsten, Avin, Keith G., Escobar, Gabriela Leal, Gabrys, Iwona, Goth, Jill, Isnard, Myriam, Jhamb, Manisha, Kim, Jun Chul, Li, John Wing, Lightfoot, Courtney J., McAdams-DeMarco, Mara, Manfredini, Fabio, Meade, Anthony, Molsted, Stig, Parker, Kristen, Seguri-Orti, Eva, Smith, Alice C., Verdin, Nancy, Zheng, Jing, Zimmerman, Deb, and Thompson, Stephanie

Published
2022
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44. Author Correction: Immunogenicity and reactogenicity of SARS-CoV-2 vaccines BNT162b2 and CoronaVac in healthy adolescents

Author

Rosa Duque, Jaime S., Wang, Xiwei, Leung, Daniel, Cheng, Samuel M. S., Cohen, Carolyn A., Mu, Xiaofeng, Hachim, Asmaa, Zhang, Yanmei, Chan, Sau Man, Chaothai, Sara, Kwan, Kelvin K. H., Chan, Karl C. K., Li, John K. C., Luk, Leo L. H., Tsang, Leo C. H., Wong, Wilfred H. S., Cheang, Cheuk Hei, Hung, Timothy K., Lam, Jennifer H. Y., Chua, Gilbert T., Tso, Winnie W. Y., Ip, Patrick, Mori, Masashi, Kavian, Niloufar, Leung, Wing Hang, Valkenburg, Sophie, Peiris, Malik, Tu, Wenwei, and Lau, Yu Lung

Published
2022
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45. Immunogenicity and reactogenicity of SARS-CoV-2 vaccines BNT162b2 and CoronaVac in healthy adolescents

Author

Rosa Duque, Jaime S., Wang, Xiwei, Leung, Daniel, Cheng, Samuel M. S., Cohen, Carolyn A., Mu, Xiaofeng, Hachim, Asmaa, Zhang, Yanmei, Chan, Sau Man, Chaothai, Sara, Kwan, Kelvin K. H., Chan, Karl C. K., Li, John K. C., Luk, Leo L. H., Tsang, Leo C. H., Wong, Wilfred H. S., Cheang, Cheuk Hei, Hung, Timothy K., Lam, Jennifer H. Y., Chua, Gilbert T., Tso, Winnie W. Y., Ip, Patrick, Mori, Masashi, Kavian, Niloufar, Leung, Wing Hang, Valkenburg, Sophie, Peiris, Malik, Tu, Wenwei, and Lau, Yu Lung

Published
2022
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46. Antibody and T cell responses against wild-type and Omicron SARS-CoV-2 after third-dose BNT162b2 in adolescents

Author

Mu, Xiaofeng, Cohen, Carolyn A., Leung, Daniel, Rosa Duque, Jaime S., Cheng, Samuel M. S., Chung, Yuet, Wong, Howard H. W., Lee, Amos M. T., Li, Wing Yan, Tam, Issan Y. S., Lam, Jennifer H. Y., Lee, Derek H. L., Chan, Sau Man, Tsang, Leo C. H., Chan, Karl C. K., Li, John K. C., Luk, Leo L. H., Chaothai, Sara, Kwan, Kelvin K. H., Chu, Nym Coco, Mori, Masashi, Jeevan, Trushar, Kandeil, Ahmed, Webby, Richard J., Tu, Wenwei, Valkenburg, Sophie A., Peiris, Malik, and Lau, Yu Lung

Published
2022
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49. TMEM41B acts as an ER scramblase required for lipoprotein biogenesis and lipid homeostasis

Author

Huang, Dong, Xu, Bolin, Liu, Lu, Wu, Lingzhi, Zhu, Yuangang, Ghanbarpour, Alireza, Wang, Yawei, Chen, Feng-Jung, Lyu, Jia, Hu, Yating, Kang, Yunlu, Zhou, Wenjing, Wang, Xiao, Ding, Wanqiu, Li, Xin, Jiang, Zhaodi, Chen, Jizheng, Zhang, Xu, Zhou, Hongwen, Li, John Zhong, Guo, Chunguang, Zheng, Wen, Zhang, Xiuqin, Li, Peng, Melia, Thomas, Reinisch, Karin, and Chen, Xiao-Wei

Published
2021
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