Extended fiducial inference for individual treatment effects via deep neural networks.

Faming Liang

Sehwan Kim Faming Liang Extended fiducial inference for individual treatment effects via deep neural networks. 97 2025 August 35 Stat. Comput. 4 https://doi.org/10.1007/s11222-025-10624-8 db/journals/sac/sac35.html#KimL25 streams/journals/sac

Frank Shih Faming Liang Latent Trajectory: A New Framework for Deep Actor-Critic Reinforcement Learning with Uncertainty Quantification. 2025 2025 Trans. Mach. Learn. Res. https://openreview.net/forum?id=8B74xdaRHa db/journals/tmlr/tmlr2025.html#ShihL25 streams/journals/tmlr

Sehwan Kim Faming Liang Extended Fiducial Inference for Individual Treatment Effects via Deep Neural Networks. 2025 May abs/2505.01995 CoRR https://doi.org/10.48550/arXiv.2505.01995 db/journals/corr/corr2505.html#abs-2505-01995 streams/journals/corr

Frank Shih Zhenghao Jiang Faming Liang Uncertainty Quantification for Physics-Informed Neural Networks with Extended Fiducial Inference. 2025 May abs/2505.19136 CoRR https://doi.org/10.48550/arXiv.2505.19136 db/journals/corr/corr2505.html#abs-2505-19136 streams/journals/corr

Penglei Gao Yan Zou Abhijit Duggal Shuaiqi Huang Faming Liang Xiaofeng Wang Deep Survival Analysis for Competing Risk Modeling with Functional Covariates and Missing Data Imputation. 2025 September abs/2509.25381 CoRR https://doi.org/10.48550/arXiv.2509.25381 db/journals/corr/corr2509.html#abs-2509-25381 streams/journals/corr

Peiyi Zhang Tianning Dong Faming Liang An extended Langevinized ensemble Kalman filter for non-Gaussian dynamic systems. 3347-3372 2024 September 39 Comput. Stat. 6 https://doi.org/10.1007/s00180-023-01443-4 db/journals/cstat/cstat39.html#ZhangDL24 streams/journals/cstat

Tianning Dong Yan Sun Faming Liang Deep network embedding with dimension selection. 106512 2024 179 Neural Networks https://doi.org/10.1016/j.neunet.2024.106512 db/journals/nn/nn179.html#DongSL24 streams/journals/nn

Yaxin Fang Faming Liang Causal-StoNet: Causal Inference for High-Dimensional Complex Data. 2024 ICLR https://openreview.net/forum?id=BtZ7vCt5QY conf/iclr/2024 db/conf/iclr/iclr2024.html#FangL24 Frank Shih Faming Liang Fast Value Tracking for Deep Reinforcement Learning. 2024 ICLR https://openreview.net/forum?id=LZIOBA2oDU conf/iclr/2024 db/conf/iclr/iclr2024.html#ShihL24

Frank Shih Faming Liang Fast Value Tracking for Deep Reinforcement Learning. 2024 abs/2403.13178 CoRR https://doi.org/10.48550/arXiv.2403.13178 db/journals/corr/corr2403.html#abs-2403-13178

Yaxin Fang Faming Liang Causal-StoNet: Causal Inference for High-Dimensional Complex Data. 2024 abs/2403.18994 CoRR https://doi.org/10.48550/arXiv.2403.18994 db/journals/corr/corr2403.html#abs-2403-18994

Faming Liang Sehwan Kim Yan Sun Extended Fiducial Inference: Toward an Automated Process of Statistical Inference. 2024 abs/2407.21622 CoRR https://doi.org/10.48550/arXiv.2407.21622 db/journals/corr/corr2407.html#abs-2407-21622 streams/journals/corr

Mingxuan Zhang Yan Sun Faming Liang Magnitude Pruning of Large Pretrained Transformer Models with a Mixture Gaussian Prior. 2024 abs/2411.00969 CoRR https://doi.org/10.48550/arXiv.2411.00969 db/journals/corr/corr2411.html#abs-2411-00969 streams/journals/corr

Fabrizio Cicala Weicheng Wang Tianhao Wang 0001 Ninghui Li 0001 Elisa Bertino Faming Liang Yang Yang 0026 PURE: A Framework for Analyzing Proximity-based Contact Tracing Protocols. 3:1-3:36 2023 55 ACM Comput. Surv. 2 https://doi.org/10.1145/3485131 https://www.wikidata.org/entity/Q130991957 db/journals/csur/csur55.html#CicalaWWLBLY23

Tianning Dong Peiyi Zhang Faming Liang A Stochastic Approximation-Langevinized Ensemble Kalman Filter Algorithm for State Space Models with Unknown Parameters. 448-469 2023 April 32 J. Comput. Graph. Stat. 2 https://doi.org/10.1080/10618600.2022.2107531 https://www.wikidata.org/entity/Q114099321 db/journals/jcgs/jcgs32.html#DongZL23

Wei Deng 0002 Qian Zhang 0067 Qi Feng 0005 Faming Liang Guang Lin 0001 Non-reversible Parallel Tempering for Deep Posterior Approximation. 7332-7339 2023 AAAI https://doi.org/10.1609/aaai.v37i6.25893 conf/aaai/2023 db/conf/aaai/aaai2023.html#000200LL23 Mingxuan Zhang Yan Sun Faming Liang Sparse Deep Learning for Time Series Data: Theory and Applications. 2023 NeurIPS http://papers.nips.cc/paper_files/paper/2023/hash/aaa9c20f0a217a1aef6fa5d97f310292-Abstract-Conference.html conf/nips/2023 db/conf/nips/neurips2023.html#ZhangSL23

Sehwan Kim Qifan Song Faming Liang A New Paradigm for Generative Adversarial Networks based on Randomized Decision Rules. 2023 abs/2306.13641 CoRR https://doi.org/10.48550/arXiv.2306.13641 db/journals/corr/corr2306.html#abs-2306-13641

Mingxuan Zhang Yan Sun Faming Liang Sparse Deep Learning for Time Series Data: Theory and Applications. 2023 abs/2310.03243 CoRR https://doi.org/10.48550/arXiv.2310.03243 db/journals/corr/corr2310.html#abs-2310-03243

Wei Deng 0002 Guang Lin 0001 Faming Liang An adaptively weighted stochastic gradient MCMC algorithm for Monte Carlo simulation and global optimization. 58 2022 32 Stat. Comput. 4 https://doi.org/10.1007/s11222-022-10120-3 db/journals/sac/sac32.html#DengLL22

Wei Deng 0002 Siqi Liang 0005 Botao Hao Guang Lin 0001 Faming Liang Interacting Contour Stochastic Gradient Langevin Dynamics. 2022 ICLR https://openreview.net/forum?id=IK9ap6nxXr2 conf/iclr/2022 db/conf/iclr/iclr2022.html#0002LHLL22 Siqi Liang 0005 Yan Sun 0011 Faming Liang Nonlinear Sufficient Dimension Reduction with a Stochastic Neural Network. 2022 conf/nips/2022 NeurIPS http://papers.nips.cc/paper_files/paper/2022/hash/af5509c72a244497c999ac39ba068ff4-Abstract-Conference.html db/conf/nips/neurips2022.html#Liang0L22

Yan Sun 0011 Faming Liang A Kernel-Expanded Stochastic Neural Network. 2022 abs/2201.05319 CoRR https://arxiv.org/abs/2201.05319 db/journals/corr/corr2201.html#abs-2201-05319

Wei Deng 0002 Siqi Liang 0005 Botao Hao Guang Lin 0001 Faming Liang Interacting Contour Stochastic Gradient Langevin Dynamics. 2022 abs/2202.09867 CoRR https://arxiv.org/abs/2202.09867 db/journals/corr/corr2202.html#abs-2202-09867

Siqi Liang 0005 Yan Sun 0011 Faming Liang Nonlinear Sufficient Dimension Reduction with a Stochastic Neural Network. 2022 abs/2210.04349 CoRR https://doi.org/10.48550/arXiv.2210.04349 db/journals/corr/corr2210.html#abs-2210-04349

Wei Deng 0002 Qian Zhang 0067 Qi Feng 0005 Faming Liang Guang Lin 0001 Non-reversible Parallel Tempering for Deep Posterior Approximation. 2022 abs/2211.10837 CoRR https://doi.org/10.48550/arXiv.2211.10837 db/journals/corr/corr2211.html#abs-2211-10837

Yao Chen Qingyi Gao Faming Liang Xiao Wang 0045 Nonlinear Variable Selection via Deep Neural Networks. 484-492 2021 30 J. Comput. Graph. Stat. 2 https://doi.org/10.1080/10618600.2020.1814305 db/journals/jcgs/jcgs30.html#ChenGLW21

Wei Deng 0002 Qi Feng 0005 Georgios Karagiannis Guang Lin 0001 Faming Liang Accelerating Convergence of Replica Exchange Stochastic Gradient MCMC via Variance Reduction. 2021 ICLR https://openreview.net/forum?id=iOnhIy-a-0n conf/iclr/2021 db/conf/iclr/iclr2021.html#0002FKLL21 Yan Sun 0011 Wenjun Xiong Faming Liang Sparse Deep Learning: A New Framework Immune to Local Traps and Miscalibration. 22301-22312 2021 NeurIPS https://proceedings.neurips.cc/paper/2021/hash/bb836c01cdc9120a9c984c525e4b1a4a-Abstract.html conf/nips/2021 db/conf/nips/neurips2021.html#SunXL21

Yan Sun 0011 Qifan Song Faming Liang Consistent Sparse Deep Learning: Theory and Computation. 2021 abs/2102.13229 CoRR https://arxiv.org/abs/2102.13229 db/journals/corr/corr2102.html#abs-2102-13229

Yan Sun 0011 Wenjun Xiong Faming Liang Sparse Deep Learning: A New Framework Immune to Local Traps and Miscalibration. 2021 abs/2110.00653 CoRR https://arxiv.org/abs/2110.00653 db/journals/corr/corr2110.html#abs-2110-00653

Aiying Zhang Biao Cai Wenxing Hu Bochao Jia Faming Liang Tony W. Wilson Julia M. Stephen Vince D. Calhoun Yu-Ping Wang 0002 Joint Bayesian-Incorporating Estimation of Multiple Gaussian Graphical Models to Study Brain Connectivity Development in Adolescence. 357-365 2020 39 IEEE Trans. Medical Imaging 2 https://doi.org/10.1109/TMI.2019.2926667 https://www.wikidata.org/entity/Q91707528 db/journals/tmi/tmi39.html#ZhangCHJLWSC020

Wei Deng 0002 Qi Feng 0005 Liyao Gao Faming Liang Guang Lin 0001 Non-convex Learning via Replica Exchange Stochastic Gradient MCMC. 2474-2483 2020 ICML http://proceedings.mlr.press/v119/deng20b.html conf/icml/2020 db/conf/icml/icml2020.html#DengFGLL20 Wei Deng 0002 Guang Lin 0001 Faming Liang A Contour Stochastic Gradient Langevin Dynamics Algorithm for Simulations of Multi-modal Distributions. 2020 NeurIPS https://proceedings.neurips.cc/paper/2020/hash/b5b8c484824d8a06f4f3d570bc420313-Abstract.html conf/nips/2020 db/conf/nips/neurips2020.html#DengLL20

Qifan Song Yan Sun 0011 Mao Ye Faming Liang Extended Stochastic Gradient MCMC for Large-Scale Bayesian Variable Selection. 2020 abs/2002.02919 CoRR https://arxiv.org/abs/2002.02919 db/journals/corr/corr2002.html#abs-2002-02919

Wei Deng 0002 Qi Feng 0005 Liyao Gao Faming Liang Guang Lin 0001 Non-convex Learning via Replica Exchange Stochastic Gradient MCMC. 2020 abs/2008.05367 CoRR https://arxiv.org/abs/2008.05367 db/journals/corr/corr2008.html#abs-2008-05367

Sehwan Kim Qifan Song Faming Liang Stochastic Gradient Langevin Dynamics Algorithms with Adaptive Drifts. 2020 abs/2009.09535 CoRR https://arxiv.org/abs/2009.09535 db/journals/corr/corr2009.html#abs-2009-09535

Wei Deng 0002 Qi Feng 0005 Georgios Karagiannis Guang Lin 0001 Faming Liang Accelerating Convergence of Replica Exchange Stochastic Gradient MCMC via Variance Reduction. 2020 abs/2010.01084 CoRR https://arxiv.org/abs/2010.01084 db/journals/corr/corr2010.html#abs-2010-01084

Wei Deng 0002 Guang Lin 0001 Faming Liang A Contour Stochastic Gradient Langevin Dynamics Algorithm for Simulations of Multi-modal Distributions. 2020 abs/2010.09800 CoRR https://arxiv.org/abs/2010.09800 db/journals/corr/corr2010.html#abs-2010-09800

Fabrizio Cicala Weicheng Wang Tianhao Wang 0001 Ninghui Li 0001 Elisa Bertino Faming Liang Yang Yang 0026 PURE: A Framework for Analyzing Proximity-based Contact Tracing Protocols. 2020 abs/2012.09520 CoRR https://arxiv.org/abs/2012.09520 db/journals/corr/corr2012.html#abs-2012-09520

Suwa Xu Bochao Jia Faming Liang Learning Moral Graphs in Construction of High-Dimensional Bayesian Networks for Mixed Data. 1183-1214 2019 31 Neural Comput. 6 https://doi.org/10.1162/neco_a_01190 https://www.wikidata.org/entity/Q93062128 db/journals/neco/neco31.html#XuJL19

Jingnan Xue Faming Liang Double-Parallel Monte Carlo for Bayesian analysis of big data. 23-32 2019 29 Stat. Comput. 1 https://doi.org/10.1007/s11222-017-9791-1 https://www.wikidata.org/entity/Q90216058 db/journals/sac/sac29.html#XueL19

Aiying Zhang Jian Fang 0001 Faming Liang Vince D. Calhoun Yu-Ping Wang 0002 Aberrant Brain Connectivity in Schizophrenia Detected via a Fast Gaussian Graphical Model. 1479-1489 2019 23 IEEE J. Biomed. Health Informatics 4 https://doi.org/10.1109/JBHI.2018.2854659 https://www.wikidata.org/entity/Q89560644 db/journals/titb/titb23.html#ZhangFLCW19

Wei Deng 0002 Xiao Zhang Faming Liang Guang Lin 0001 An Adaptive Empirical Bayesian Method for Sparse Deep Learning. 5564-5574 2019 NeurIPS https://proceedings.neurips.cc/paper/2019/hash/2d71b2ae158c7c5912cc0bbde2bb9d95-Abstract.html http://papers.nips.cc/paper/8794-an-adaptive-empirical-bayesian-method-for-sparse-deep-learning conf/nips/2019 db/conf/nips/nips2019.html#DengZLL19

Wei Deng 0002 Xiao Zhang Faming Liang Guang Lin 0001 An Adaptive Empirical Bayesian Method for Sparse Deep Learning. 2019 abs/1910.10791 CoRR http://arxiv.org/abs/1910.10791 db/journals/corr/corr1910.html#abs-1910-10791

Donghyeon Yu Johan Lim Xinlei Wang 0001 Faming Liang Guanghua Xiao Enhanced construction of gene regulatory networks using hub gene information. 186:1-186:20 2017 18 BMC Bioinform. 1 https://doi.org/10.1186/s12859-017-1576-1 https://www.wikidata.org/entity/Q36320823 db/journals/bmcbi/bmcbi18.html#YuL0LX17

Tianzhou Ma Faming Liang Steffi Oesterreich George C. Tseng A Joint Bayesian Model for Integrating Microarray and RNA Sequencing Transcriptomic Data. 647-662 2017 24 J. Comput. Biol. 7 https://doi.org/10.1089/cmb.2017.0056 https://www.wikidata.org/entity/Q36379915 db/journals/jcb/jcb24.html#MaLOT17

Georgios Karagiannis Bledar A. Konomi Guang Lin 0001 Faming Liang Parallel and interacting stochastic approximation annealing algorithms for global optimisation. 927-945 2017 27 Stat. Comput. 4 https://doi.org/10.1007/s11222-016-9663-0 db/journals/sac/sac27.html#KaragiannisKLL17

Yichen Cheng Faming Liang Comment: "Modeling an Augmented Lagrangian for Blackbox Constrained Optimization" by Gramacy et al. 15-17 2016 58 Technometrics 1 https://doi.org/10.1080/00401706.2015.1040927 db/journals/technometrics/technometrics58.html#ChengL16

Faming Liang Jinsu Kim Qifan Song A Bootstrap Metropolis-Hastings Algorithm for Bayesian Analysis of Big Data. 304-318 2016 58 Technometrics 3 https://doi.org/10.1080/00401706.2016.1142905 https://www.wikidata.org/entity/Q42375414 db/journals/technometrics/technometrics58.html#LiangKS16

Ick-Hoon Jin Faming Liang Use of SAMC for Bayesian analysis of statistical models with intractable normalizing constants. 402-416 2014 71 Comput. Stat. Data Anal. https://doi.org/10.1016/j.csda.2012.07.005 db/journals/csda/csda71.html#JinL14

Yichen Cheng Xin Gao 0001 Faming Liang Bayesian Peak Picking for NMR Spectra. 39-47 2014 12 Genom. Proteom. Bioinform. 1 https://doi.org/10.1016/j.gpb.2013.07.003 https://www.wikidata.org/entity/Q30355184 db/journals/gpb/gpb12.html#ChengGL14

Sooyoung Cheon Faming Liang Yuguo Chen Kai Yu Stochastic approximation Monte Carlo importance sampling for approximating exact conditional probabilities. 505-520 2014 24 Stat. Comput. 4 https://doi.org/10.1007/s11222-013-9384-6 db/journals/sac/sac24.html#CheonLCY14

Chen Zhou Ping Yang 0007 Andrew E. Dessler Faming Liang Statistical Properties of Horizontally Oriented Plates in Optically Thick Clouds From Satellite Observations. 986-990 2013 10 IEEE Geosci. Remote. Sens. Lett. 5 https://doi.org/10.1109/LGRS.2012.2227451 https://www.wikidata.org/entity/Q58059885 db/journals/lgrs/lgrs10.html#ZhouYDL13

Faming Liang Ick-Hoon Jin A Monte Carlo Metropolis-Hastings Algorithm for Sampling from Distributions with Intractable Normalizing Constants. 2199-2234 2013 25 Neural Comput. 8 https://doi.org/10.1162/NECO_a_00466 https://www.wikidata.org/entity/Q44408840 db/journals/neco/neco25.html#LiangJ13

Sooyoung Cheon Faming Liang Folding small proteins via annealing stochastic approximation Monte Carlo. 243-249 2011 105 Biosyst. 3 https://doi.org/10.1016/j.biosystems.2011.05.015 https://www.wikidata.org/entity/Q51557413 db/journals/biosystems/biosystems105.html#CheonL11

Faming Liang Annealing evolutionary stochastic approximation Monte Carlo for global optimization. 375-393 2011 21 Stat. Comput. 3 https://doi.org/10.1007/s11222-010-9176-1 db/journals/sac/sac21.html#Liang11

Qianxing Mo Faming Liang A hidden Ising model for ChIP-chip data analysis. 777-783 2010 26 Bioinform. 6 https://doi.org/10.1093/bioinformatics/btq032 https://www.wikidata.org/entity/Q33527205 db/journals/bioinformatics/bioinformatics26.html#MoL10

G. Peter Zhang Craig A. Hill Yusen Xia Faming Liang Modeling the Relationship Between EDI Implementation and Firm Performance Improvement With Neural Networks. 96-110 2010 7 IEEE Trans Autom. Sci. Eng. 1 https://doi.org/10.1109/TASE.2009.2016351 db/journals/tase/tase7.html#ZhangHXL10

Mingqi Wu Faming Liang Yanan Tian Bayesian modeling of ChIP-chip data using latent variables. 352 2009 10 BMC Bioinform. https://doi.org/10.1186/1471-2105-10-352 https://www.wikidata.org/entity/Q33512616 db/journals/bmcbi/bmcbi10.html#WuLT09

Faming Liang Jian Zhang 0008 Learning Bayesian networks for discrete data. 865-876 2009 53 Comput. Stat. Data Anal. 4 https://doi.org/10.1016/j.csda.2008.10.007 db/journals/csda/csda53.html#LiangZ09

Faming Liang Stochastic Approximation Monte Carlo for MLP Learning. 1482-1489 2009 Encyclopedia of Artificial Intelligence http://www.igi-global.com/Bookstore/Chapter.aspx?TitleId=10434 reference/ai/2009 db/reference/ai/ai2009.html#Liang09

Sooyoung Cheon Faming Liang Phylogenetic tree construction using sequential stochastic approximation Monte Carlo. 94-107 2008 91 Biosyst. 1 https://doi.org/10.1016/j.biosystems.2007.08.003 https://www.wikidata.org/entity/Q30444593 db/journals/biosystems/biosystems91.html#CheonL08

Yuan Ren 0002 Yu Ding 0002 Faming Liang Adaptive evolutionary Monte Carlo algorithm for optimization with applications to sensor placement problems. 375-390 2008 18 Stat. Comput. 4 https://doi.org/10.1007/s11222-008-9079-6 db/journals/sac/sac18.html#RenDL08

Faming Liang Use of SVD-based probit transformation in clustering gene expression profiles. 6355-6366 2007 51 Comput. Stat. Data Anal. 12 https://doi.org/10.1016/j.csda.2007.01.022 db/journals/csda/csda51.html#Liang07

Faming Liang Annealing stochastic approximation Monte Carlo algorithm for neural network training. 201-233 2007 68 Mach. Learn. 3 https://doi.org/10.1007/s10994-007-5017-7 db/journals/ml/ml68.html#Liang07

Faming Liang Naisyin Wang Dynamic agglomerative clustering of gene expression profiles. 1062-1076 2007 28 Pattern Recognit. Lett. 9 https://doi.org/10.1016/j.patrec.2007.01.009 db/journals/prl/prl28.html#LiangW07

Faming Liang Jianhua Huang Statistical and Computational Inverse Problems. 146 2006 48 Technometrics 1 https://doi.org/10.1198/tech.2006.s351 db/journals/technometrics/technometrics48.html#LiangH06

Faming Liang Chuanhai Liu Efficient MCMC estimation of discrete distributions. 1039-1052 2005 49 Comput. Stat. Data Anal. 4 https://doi.org/10.1016/j.csda.2004.07.022 db/journals/csda/csda49.html#LiangL05

Faming Liang Evidence Evaluation for Bayesian Neural Networks Using Contour Monte Carlo. 1385-1410 2005 17 Neural Comput. 6 https://doi.org/10.1162/0899766053630323 db/journals/neco/neco17.html#Liang05

Faming Liang Bayesian neural networks for nonlinear time series forecasting. 13-29 2005 15 Stat. Comput. 1 https://doi.org/10.1007/s11222-005-4786-8 db/journals/sac/sac15.html#Liang05

Faming Liang An Effective Bayesian Neural Network Classifier with a Comparison Study to Support Vector Machine. 1959-1989 2003 15 Neural Comput. 8 https://doi.org/10.1162/08997660360675107 db/journals/neco/neco15.html#Liang03

Jason Cong Tianming Kong Faming Liang Jun S. Liu Wing Hung Wong Dongmin Xu Dynamic weighting Monte Carlo for constrained floorplan designs in mixed signal application. 277-282 2000 conf/aspdac/2000 ASP-DAC https://doi.org/10.1145/368434.368634 https://doi.org/10.1109/ASPDAC.2000.835110 https://doi.ieeecomputersociety.org/10.1109/ASPDAC.2000.835110 db/conf/aspdac/aspdac2000.html#CongKLLWX00 Jason Cong Tianming Kong Dongmin Xu Faming Liang Jun S. Liu Wing Hung Wong Relaxed Simulated Tempering for VLSI Floorplan Designs. 13-16 1999 conf/aspdac/1999 ASP-DAC https://doi.org/10.1109/ASPDAC.1999.759698 https://doi.ieeecomputersociety.org/10.1109/ASPDAC.1999.759698 db/conf/aspdac/aspdac1999.html#CongKXLLW99 Elisa Bertino Cai BiaoBiao Cai Vince D. Calhoun Yao Chen Yuguo Chen Yichen Cheng Sooyoung Cheon Fabrizio Cicala Jason Cong Wei Deng 0002 Andrew E. Dessler Yu Ding 0002 Tianning Dong Abhijit Duggal Jian Fang 0001 Yaxin Fang Qi Feng 0005 Liyao Gao Penglei Gao Qingyi Gao Xin Gao 0001 Botao Hao Craig A. Hill Wenxing Hu Jianhua Huang Shuaiqi Huang Bochao Jia Zhenghao Jiang Ick-Hoon Jin Georgios Karagiannis Jinsu Kim Sehwan Kim Tianming Kong Bledar A. Konomi Ninghui Li 0001 Siqi Liang 0005 Johan Lim Guang Lin 0001 Chuanhai Liu Jun S. Liu Tianzhou Ma Qianxing Mo Steffi Oesterreich Yuan Ren 0002 Frank Shih Qifan Song Julia M. Stephen Yan Sun Yan Sun 0011 Yanan Tian George C. Tseng Naisyin Wang Tianhao Wang 0001 Weicheng Wang Xiao Wang 0045 Xiaofeng Wang Xinlei Wang 0001 Yu-Ping Wang 0002 Tony W. Wilson Wing Hung Wong Mingqi Wu Yusen Xia Guanghua Xiao Wenjun Xiong Dongmin Xu Suwa Xu Jingnan Xue Ping Yang 0007 Yang Yang 0026 Mao Ye Donghyeon Yu Kai Yu Aiying Zhang Guoqiang Peter ZhangG. Peter Zhang Jian Zhang 0008 Mingxuan Zhang Peiyi Zhang Qian Zhang 0067 Xiao Zhang Chen Zhou Yan Zou