Stop the war!Остановите войну!
for scientists:
Google
Google Scholar
Semantic Scholar
IA Scholar
CiteSeerX
ORCIDWei Chen 0034
陈薇
Person information
- unicode name: 陈薇
- affiliation (since 2022): Chinese Academy of Sciences, Institute Of Computing Technology, Beijing, China
- affiliation (2011-2020): Microsoft Research Asia, Machine Learning Group, Beijing, China
- affiliation (PhD): Chinese Academy of Sciences, Academy of Mathematics and System Science, Beijing, China
- affiliation: University of Science and Technology of China, Hefei, Anhui, China
- not to be confused with: Wei Chen 0013
Other persons with the same name
- Wei Chen — disambiguation page
- Wei Chen 0001
![[0000-0002-8365-4741]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-8365-4741")
— Zhejiang University, The State Key Laboratory of CAD and CG, Hangzhou, China - Wei Chen 0002 — Tsinghua University, Beijing National Research Center for Information Science and Technology, BNRist, Beijing, China (and 2 more)
- Wei Chen 0003 — Tennessee State University, Department of Computer Science, Nashville, TN, USA (and 1 more)
- Wei Chen 0004 — City University of Hong Kong
- Wei Chen 0005 — Zhejiang University, College of Computer Science, China
- Wei Chen 0006 — Nanjing University of Posts and Telecommunications, School of Computer, China (and 1 more)
- Wei Chen 0007 — Oracle Corporation
- Wei Chen 0008 — Intelligent Automation Inc.
- Wei Chen 0009 — National University of Defense Technology, State Key Laboratory of High Performance Computing, College of Computer, Changsha, China
- Wei Chen 0010 — Xi'an Jiatong University, First Teaching Hospital of Medical School, China
- Wei Chen 0011 — Intel
- Wei Chen 0012 — Chinese Academy of Sciences, Institute of Automation, National Laboratory of Pattern Recognition, China
- Wei Chen 0013 — Microsoft Research Asia, Beijing, China (and 3 more)
- Wei Chen 0014 — Jilin University, Institute of Theoretical Chemistry, China
- Wei Chen 0015 — Fudan University, School of Information Science and Technology, Department of Electronic Engineering, Center for Intelligent Medical Electronics, Shanghai, China (and 2 more)
- Wei Chen 0016 — Beijing Jiaotong University, State Key Laboratory of Rail Traffic Control and Safety, China (and 2 more)
- Wei Chen 0017 — Shanghai Jiao Tong University
- Wei Chen 0018 — Chinese Academy of Sciences, Institute of Software, China
- Wei Chen 0019 — Carnegie Mellon University, Language Technologies Institute, Pittsburgh, PA, USA
- Wei Chen 0020 — University of Illinois, Department of Electrical and Computer Engineering, IL, USA
- Wei Chen 0021 — Peking University, School of EECS, Key Laboratory of High Confidence Software Technologies, Beijing, China
- Wei Chen 0022 — University of Nebraska at Omaha
- Wei Chen 0023 — University of Nottingham
- Wei Chen 0024 — Naval Research Laboratory, Remote Sensing Division, Washington, DC, USA (and 1 more)
- Wei Chen 0025 — Agency for Science, Technology and Research (A*STAR), Singapore
- Wei Chen 0026 — China University of Mining & Technology, College of Geoscience and Surveying Engineering, Beijing, China (and 2 more)
- Wei Chen 0027 — National University of Defense Technology, College of Information Systems and Management, Changsha, China
- Wei Chen 0028 — Hefei University of Technology, School of Food Science & Engineering, China
- Wei Chen 0029 — Max Planck Institute for Molecular Genetics, Berlin, Germany
- Wei Chen 0030 — Beijing University of Posts and Telecommunications, Pattern Recognition and Intelligent System Laboratory, China
- Wei Chen 0031 — Yangtze University, Wuhan, China
- Wei Chen 0032 — Sichuan University, West China Hospital, Department of Radiology, Chengdu, China
- Wei Chen 0033 — Chinese Academy of Sciences, Computer Network Information Center, Beijing, China
- Wei Chen 0035 — Wuhan University of Technology, School of Automation, China (and 1 more)
- Wei Chen 0036 — China University of Mining and Technology, Department of Computer Science and Technology, Xuzhou, China
- Wei Chen 0037 — University of Hong Kong, Department of Electrical and Electronic Engineering, Hong Kong
- Wei Chen 0038 — University of Colorado, Department of Computer Science, Colorado Springs, CO, USA
- Wei Chen 0039 — Shandong University, School of Control Science and Engineering, Department of Biomedical Engineering, China
- Wei Chen 0040 — Chinese Academy of Sciences, Institute of Remote Sensing and Digital Earth, State Key Laboratory of Remote Sensing Science, Beijing, China (and 1 more)
- Wei Chen 0041 — Northwestern University, Department of Mechanical Engineering, Evanston, IL, USA (and 2 more)
- Wei Chen 0042 — Chinese Academy of Agricultural Sciences, Beijing, China
- Wei Chen 0043 — Illinois Institute of Technology, Chicago, IL, USA (and 1 more)
- Wei Chen 0044 — University of Illinois at Urbana-Champaign, Department of Physics, Urbana, IL, USA
- Wei Chen 0045 — Nantong University, School of Electronics and Information, China
- Wei Chen 0046 — Tianjin University, School of Electrical and Information Engineering, China
- Wei Chen 0047 — Peking University, Beijing, China (and 4 more)
- Wei Chen 0048 — Chinese Academy of Sciences, Institute of Automation, Beijing, China
- Wei Chen 0049 — Chengdu University of Information Technology, School of Control Engineering, China
- Wei Chen 0050 — Fujian Medical University, Faculty of Pharmacy, Department of Pharmaceutical Analysis, Fuzhou, China
- Wei Chen 0051 — Xi'an University of Science and Technology, College of Geology and Environment, China
- Wei Chen 0052 — Xiamen University, Department of Mechanical and Electrical Engineering, China
- Wei Chen 0053 — Northumbria University, Newcastle upon Tyne, UK
- Wei Chen 0054 — University of Nantes, France
- Wei Chen 0055 — University of Arizona, Eller College of Management, Tucson, AZ, USA (and 2 more)
- Wei Chen 0056 — Chinese University of Hong Kong, Hong Kong
- Wei Chen 0057 — Wake Forest Baptist Medical Center, Center for Bioinformatics and Systems Biology, Winston-Salem, NC, USA
- Wei Chen 0058 — Huazhong University of Science and Technology, School of Computer Science and Technology, China
- Wei Chen 0059 — University of Arizona, Eller College of Management, Tucson, AZ, USA
- Wei Chen 0060 — Mayo Clinic, Department of Management Engineering and Internal Consulting, Rochester, USA
- Wei Chen 0061 — Capital University of Economics and Business, School of Information, Beijing, China
- Wei Chen 0062 — Southwest University of Science and Technology, Mianyang, China
- Wei Chen 0063 — Nanjing Tech University, College of Electrical Engineering and Control Science, China (and 1 more)
- Wei Chen 0064 — Chengdu University of Traditional Chinese Medicine, Innovative Institute of Chinese Medicine and Pharmacy, China (and 4 more)
- Wei Chen 0065 — Beijing University of Technology, Beijing, China
- Wei Chen 0066 — Harbin Engineering University, School of Economics and Management, China
- Wei Chen 0067 — Chongqing Technology and Business University, Research Center for Enterprise Management, China
- Wei Chen 0068 — Chinese University of Hong Kong, Stone Robotics Institute and Department of Mechanical and Automation Engineering
- Wei Chen 0069 — Catholic University of Louvain, Belgium
- Wei Chen 0070 — Soochow University, School of Computer Science and Technology, Jiangsu, China
- Wei Chen 0071 — Sogou Corporation, Voice Interaction Technology Center, Beijing, China (and 1 more)
- Wei Chen 0072 — Leiden University, Leiden Institute of Advanced Computer Science, The Netherlands
- Wei Chen 0073 — Beijing University of Posts and Telecommunications, School of Science, China
- Wei Chen 0074 — University of Pittsburgh, PA, USA
- Wei Chen 0075 — Jilin University, School of Mechanical and Aerospace Engineering, Changchun, China
- Wei Chen 0076 — Qiqihar University, College of Computer and Control Engineering, China
- Wei Chen 0077 — Nanjing Institute of Technology, Industrial Center, China
- Wei Chen 0078 — Jimei University, Navigation Institute, Xiamen, China
- Wei Chen 0079 — Fujian University of Technology, School of Information Science and Engineering, Fuzhou, China
- Wei Chen 0080 — Wenzhou University, College of Electrical and Electronic Engineering, China
- Wei Chen 0081 — Lanzhou University of Technology, School of Computer and Communication, China
- Wei Chen 0082 — Tiangong University, School of Life Sciences, Tianjin, China
- Wei Chen 0083 — University of Paris-Saclay, France (and 1 more)
- Wei Chen 0084 — University of Kansas, School of Business, Lawrence, KS, USA (and 1 more)
- Wei Chen 0085 — University of Bordeaux, LaBRI, France (and 1 more)
- Wei Chen 0086 — University of Minnesota, Center for Magnetic Resonance Research, MN, USA (and 1 more)
- Wei Chen 0087 — Wuhan Textile University, School of Mechanical Engineering and Automation, China (and 1 more)
- Wei Chen 0088 — Fudan University, School of Data Science, Shanghai, China
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2022
[i55]Yihan Du, Wei Chen:
Branching Reinforcement Learning. CoRR abs/2202.07995 (2022)- [i54]Peiyan Hu, Qi Meng, Bingguang Chen, Shiqi Gong, Yue Wang, Wei Chen, Rongchan Zhu, Zhi-Ming Ma, Tie-Yan Liu:
Neural Operator with Regularity Structure for Modeling Dynamics Driven by SPDEs. CoRR abs/2204.06255 (2022) - 2021
- [j7]Juanping Zhu, Qi Meng, Wei Chen, Zhiming Ma:
Interpreting the Basis Path Set in Neural Networks. J. Syst. Sci. Complex. 34(6): 2155-2167 (2021) - [c43]Yihan Du, Yuko Kuroki, Wei Chen:
Combinatorial Pure Exploration with Full-Bandit or Partial Linear Feedback. AAAI 2021: 7262-7270 - [c42]Da Yu, Huishuai Zhang, Wei Chen, Jian Yin, Tie-Yan Liu:
How Does Data Augmentation Affect Privacy in Machine Learning? AAAI 2021: 10746-10753 - [c41]Da Yu, Huishuai Zhang, Wei Chen, Tie-Yan Liu:
Do not Let Privacy Overbill Utility: Gradient Embedding Perturbation for Private Learning. ICLR 2021 - [c40]Bohan Wang, Qi Meng, Wei Chen, Tie-Yan Liu:
The Implicit Bias for Adaptive Optimization Algorithms on Homogeneous Neural Networks. ICML 2021: 10849-10858 - [c39]Da Yu, Huishuai Zhang, Wei Chen, Jian Yin, Tie-Yan Liu:
Large Scale Private Learning via Low-rank Reparametrization. ICML 2021: 12208-12218 - [c38]Chang Liu, Xinwei Sun, Jindong Wang, Haoyue Tang, Tao Li, Tao Qin, Wei Chen, Tie-Yan Liu:
Learning Causal Semantic Representation for Out-of-Distribution Prediction. NeurIPS 2021: 6155-6170 - [c37]Xiaobo Liang, Lijun Wu, Juntao Li, Yue Wang, Qi Meng, Tao Qin, Wei Chen, Min Zhang, Tie-Yan Liu:
R-Drop: Regularized Dropout for Neural Networks. NeurIPS 2021: 10890-10905 - [c36]Xinwei Sun, Botong Wu, Xiangyu Zheng, Chang Liu, Wei Chen, Tao Qin, Tie-Yan Liu:
Recovering Latent Causal Factor for Generalization to Distributional Shifts. NeurIPS 2021: 16846-16859 - [c35]Bohan Wang, Huishuai Zhang, Jieyu Zhang, Qi Meng, Wei Chen, Tie-Yan Liu:
Optimizing Information-theoretical Generalization Bound via Anisotropic Noise of SGLD. NeurIPS 2021: 26080-26090 - [c34]Xufang Luo, Qi Meng, Wei Chen, Yunhong Wang, Tie-Yan Liu:
Path-BN: Towards effective batch normalization in the Path Space for ReLU networks. UAI 2021: 834-843 - [i53]Mingyang Yi, Qi Meng, Wei Chen, Zhi-Ming Ma:
Towards Accelerating Training of Batch Normalization: A Manifold Perspective. CoRR abs/2101.02916 (2021) - [i52]Mingyang Yi, Huishuai Zhang, Wei Chen, Zhi-Ming Ma, Tie-Yan Liu:
BN-invariant sharpness regularizes the training model to better generalization. CoRR abs/2101.02944 (2021) - [i51]Yihan Du, Yuko Kuroki, Wei Chen:
Combinatorial Pure Exploration with Bottleneck Reward Function and its Extension to General Reward Functions. CoRR abs/2102.12094 (2021) - [i50]Da Yu, Huishuai Zhang, Wei Chen, Tie-Yan Liu:
Do Not Let Privacy Overbill Utility: Gradient Embedding Perturbation for Private Learning. CoRR abs/2102.12677 (2021) - [i49]Tianyu Pang, Huishuai Zhang, Di He, Yinpeng Dong, Hang Su, Wei Chen, Jun Zhu, Tie-Yan Liu:
Adversarial Training with Rectified Rejection. CoRR abs/2105.14785 (2021) - [i48]Ziming Liu, Bohan Wang, Qi Meng, Wei Chen, Max Tegmark, Tie-Yan Liu:
Machine-Learning Non-Conservative Dynamics for New-Physics Detection. CoRR abs/2106.00026 (2021) - [i47]Shiqi Gong, Qi Meng, Yue Wang, Lijun Wu, Wei Chen, Zhi-Ming Ma, Tie-Yan Liu:
Incorporating NODE with Pre-trained Neural Differential Operator for Learning Dynamics. CoRR abs/2106.04166 (2021) - [i46]Sang-gil Lee, Heeseung Kim, Chaehun Shin, Xu Tan, Chang Liu, Qi Meng, Tao Qin, Wei Chen, Sungroh Yoon, Tie-Yan Liu:
PriorGrad: Improving Conditional Denoising Diffusion Models with Data-Driven Adaptive Prior. CoRR abs/2106.06406 (2021) - [i45]Da Yu, Huishuai Zhang, Wei Chen, Jian Yin, Tie-Yan Liu:
Large Scale Private Learning via Low-rank Reparametrization. CoRR abs/2106.09352 (2021) - [i44]Xiaobo Liang, Lijun Wu, Juntao Li, Yue Wang, Qi Meng, Tao Qin, Wei Chen, Min Zhang, Tie-Yan Liu:
R-Drop: Regularized Dropout for Neural Networks. CoRR abs/2106.14448 (2021) - [i43]Yichi Zhou, Shihong Song, Huishuai Zhang, Jun Zhu, Wei Chen, Tie-Yan Liu:
Regularized OFU: an Efficient UCB Estimator forNon-linear Contextual Bandit. CoRR abs/2106.15128 (2021) - [i42]Xiangyu Zheng, Xinwei Sun, Wei Chen, Tie-Yan Liu:
Causally Invariant Predictor with Shift-Robustness. CoRR abs/2107.01876 (2021) - [i41]Bohan Wang, Qi Meng, Huishuai Zhang, Ruoyu Sun, Wei Chen, Zhi-Ming Ma:
Momentum Doesn't Change the Implicit Bias. CoRR abs/2110.03891 (2021) - [i40]Bohan Wang, Huishuai Zhang, Jieyu Zhang, Qi Meng, Wei Chen, Tie-Yan Liu:
Optimizing Information-theoretical Generalization Bounds via Anisotropic Noise in SGLD. CoRR abs/2110.13750 (2021) - [i39]Weitao Du, He Zhang, Yuanqi Du, Qi Meng, Wei Chen, Bin Shao, Tie-Yan Liu:
Equivariant vector field network for many-body system modeling. CoRR abs/2110.14811 (2021) - [i38]Yihan Du, Wei Chen, Yuko Kuroki, Longbo Huang:
Collaborative Pure Exploration in Kernel Bandit. CoRR abs/2110.15771 (2021) - [i37]Da Yu, Huishuai Zhang, Wei Chen, Jian Yin, Tie-Yan Liu:
Indiscriminate Poisoning Attacks Are Shortcuts. CoRR abs/2111.00898 (2021) - 2020
- [j6]Yue Wang, Yuting Liu, Wei Chen, Zhi-Ming Ma, Tie-Yan Liu:
Target transfer Q-learning and its convergence analysis. Neurocomputing 392: 11-22 (2020) - [j5]Shicong Cen, Huishuai Zhang, Yuejie Chi, Wei Chen, Tie-Yan Liu:
Convergence of Distributed Stochastic Variance Reduced Methods Without Sampling Extra Data. IEEE Trans. Signal Process. 68: 3976-3989 (2020) - [c33]Wei Chen, Yihan Du, Longbo Huang, Haoyu Zhao:
Combinatorial Pure Exploration for Dueling Bandit. ICML 2020: 1531-1541 - [c32]Ling Pan, Qingpeng Cai, Qi Meng, Wei Chen, Longbo Huang:
Reinforcement Learning with Dynamic Boltzmann Softmax Updates. IJCAI 2020: 1992-1998 - [c31]Xufang Luo, Qi Meng, Di He, Wei Chen, Yunhong Wang:
I4R: Promoting Deep Reinforcement Learning by the Indicator for Expressive Representations. IJCAI 2020: 2669-2675 - [c30]Da Yu, Huishuai Zhang, Wei Chen, Jian Yin, Tie-Yan Liu:
Gradient Perturbation is Underrated for Differentially Private Convex Optimization. IJCAI 2020: 3117-3123 - [i36]Wei Chen, Yihan Du, Yuko Kuroki:
Combinatorial Pure Exploration with Partial or Full-Bandit Linear Feedback. CoRR abs/2006.07905 (2020) - [i35]Wei Chen, Yihan Du, Longbo Huang, Haoyu Zhao:
Combinatorial Pure Exploration of Dueling Bandit. CoRR abs/2006.12772 (2020) - [i34]Qi Meng, Shiqi Gong, Wei Chen, Zhi-Ming Ma, Tie-Yan Liu:
Dynamic of Stochastic Gradient Descent with State-Dependent Noise. CoRR abs/2006.13719 (2020) - [i33]Juanping Zhu, Qi Meng, Wei Chen, Yue Wang, Zhiming Ma:
Constructing Basis Path Set by Eliminating Path Dependency. CoRR abs/2007.00657 (2020) - [i32]Da Yu, Huishuai Zhang, Wei Chen, Jian Yin, Tie-Yan Liu:
Membership Inference with Privately Augmented Data Endorses the Benign while Suppresses the Adversary. CoRR abs/2007.10567 (2020) - [i31]Chang Liu, Xinwei Sun, Jindong Wang, Tao Li, Tao Qin, Wei Chen, Tie-Yan Liu:
Learning Causal Semantic Representation for Out-of-Distribution Prediction. CoRR abs/2011.01681 (2020) - [i30]Xinwei Sun, Botong Wu, Chang Liu, Xiangyu Zheng, Wei Chen, Tao Qin, Tie-Yan Liu:
Latent Causal Invariant Model. CoRR abs/2011.02203 (2020) - [i29]Bohan Wang, Qi Meng, Wei Chen:
The Implicit Bias for Adaptive Optimization Algorithms on Homogeneous Neural Networks. CoRR abs/2012.06244 (2020) - [i28]Xinwei Sun, Botong Wu, Wei Chen:
Identifying Invariant Texture Violation for Robust Deepfake Detection. CoRR abs/2012.10580 (2020)
2010 – 2019
- 2019
- [j4]Qi Meng, Wei Chen, Yue Wang, Zhi-Ming Ma, Tie-Yan Liu:
Convergence analysis of distributed stochastic gradient descent with shuffling. Neurocomputing 337: 46-57 (2019) - [j3]Li He, Shuxin Zheng, Wei Chen, Zhiming Ma, Tie-Yan Liu:
OptQuant: Distributed training of neural networks with optimized quantization mechanisms. Neurocomputing 340: 233-244 (2019) - [c29]Shuxin Zheng, Qi Meng, Huishuai Zhang, Wei Chen, Nenghai Yu, Tie-Yan Liu:
Capacity Control of ReLU Neural Networks by Basis-Path Norm. AAAI 2019: 5925-5932 - [c28]Qi Meng, Shuxin Zheng, Huishuai Zhang, Wei Chen, Qiwei Ye, Zhi-Ming Ma, Nenghai Yu, Tie-Yan Liu:
G-SGD: Optimizing ReLU Neural Networks in its Positively Scale-Invariant Space. ICLR (Poster) 2019 - [c27]Mingyang Yi, Huishuai Zhang, Wei Chen, Zhi-Ming Ma, Tie-Yan Liu:
BN-invariant Sharpness Regularizes the Training Model to Better Generalization. IJCAI 2019: 4164-4170 - [i27]Mingyang Yi, Qi Meng, Wei Chen, Zhi-Ming Ma, Tie-Yan Liu:
Positively Scale-Invariant Flatness of ReLU Neural Networks. CoRR abs/1903.02237 (2019) - [i26]Ling Pan, Qingpeng Cai, Qi Meng, Wei Chen, Longbo Huang, Tie-Yan Liu:
Reinforcement Learning with Dynamic Boltzmann Softmax Updates. CoRR abs/1903.05926 (2019) - [i25]Huishuai Zhang, Da Yu, Wei Chen, Tie-Yan Liu:
Training Over-parameterized Deep ResNet Is almost as Easy as Training a Two-layer Network. CoRR abs/1903.07120 (2019) - [i24]Shicong Cen, Huishuai Zhang, Yuejie Chi, Wei Chen, Tie-Yan Liu:
Convergence of Distributed Stochastic Variance Reduced Methods without Sampling Extra Data. CoRR abs/1905.12648 (2019) - [i23]Juanping Zhu, Qi Meng, Wei Chen, Zhiming Ma:
Interpreting Basis Path Set in Neural Networks. CoRR abs/1910.09402 (2019) - [i22]Da Yu, Huishuai Zhang, Wei Chen, Tie-Yan Liu, Jian Yin:
Gradient Perturbation is Underrated for Differentially Private Convex Optimization. CoRR abs/1911.11363 (2019) - 2018
- [c26]Shizhao Sun, Wei Chen, Jiang Bian, Xiaoguang Liu, Tie-Yan Liu:
Slim-DP: A Multi-Agent System for Communication-Efficient Distributed Deep Learning. AAMAS 2018: 721-729 - [c25]Zhuohan Li, Di He, Fei Tian, Wei Chen, Tao Qin, Liwei Wang, Tie-Yan Liu:
Towards Binary-Valued Gates for Robust LSTM Training. ICML 2018: 3001-3010 - [c24]Li He, Qi Meng, Wei Chen, Zhiming Ma, Tie-Yan Liu:
Differential Equations for Modeling Asynchronous Algorithms. IJCAI 2018: 2220-2226 - [c23]Huishuai Zhang, Wei Chen, Tie-Yan Liu:
On the Local Hessian in Back-propagation. NeurIPS 2018: 6521-6531 - [i21]Qi Meng, Wei Chen, Shuxin Zheng, Qiwei Ye, Tie-Yan Liu:
Optimizing Neural Networks in the Equivalent Class Space. CoRR abs/1802.03713 (2018) - [i20]Huishuai Zhang, Wei Chen, Tie-Yan Liu:
Train Feedfoward Neural Network with Layer-wise Adaptive Rate via Approximating Back-matching Propagation. CoRR abs/1802.09750 (2018) - [i19]Li He, Qi Meng, Wei Chen, Zhiming Ma, Tie-Yan Liu:
Differential Equations for Modeling Asynchronous Algorithms. CoRR abs/1805.02991 (2018) - [i18]Zhuohan Li, Di He, Fei Tian, Wei Chen, Tao Qin, Liwei Wang, Tie-Yan Liu:
Towards Binary-Valued Gates for Robust LSTM Training. CoRR abs/1806.02988 (2018) - [i17]Shuxin Zheng, Qi Meng, Huishuai Zhang, Wei Chen, Nenghai Yu, Tie-Yan Liu:
Capacity Control of ReLU Neural Networks by Basis-path Norm. CoRR abs/1809.07122 (2018) - [i16]Yue Wang, Qi Meng, Wei Chen, Yuting Liu, Zhiming Ma, Tie-Yan Liu:
Target Transfer Q-Learning and Its Convergence Analysis. CoRR abs/1809.08923 (2018) - [i15]Yue Wang, Wei Chen, Yuting Liu, Zhi-Ming Ma, Tie-Yan Liu:
Finite Sample Analysis of the GTD Policy Evaluation Algorithms in Markov Setting. CoRR abs/1809.08926 (2018) - 2017
- [c22]Qi Meng, Wei Chen, Jingcheng Yu, Taifeng Wang, Zhiming Ma, Tie-Yan Liu:
Asynchronous Stochastic Proximal Optimization Algorithms with Variance Reduction. AAAI 2017: 2329-2335 - [c21]Qi Meng, Yue Wang, Wei Chen, Taifeng Wang, Zhiming Ma, Tie-Yan Liu:
Generalization Error Bounds for Optimization Algorithms via Stability. AAAI 2017: 2336-2342 - [c20]Yan Tong, Jian Zhang, Wei Chen, Mingdi Xu, Tao Qin:
Dynamic Group Behavior Analysis and Its Application in Network Abnormal Behavior Detection. ChinaCom (2) 2017: 292-301 - [c19]Yingce Xia, Tao Qin, Wei Chen, Jiang Bian, Nenghai Yu, Tie-Yan Liu:
Dual Supervised Learning. ICML 2017: 3789-3798 - [c18]Shuxin Zheng, Qi Meng, Taifeng Wang, Wei Chen, Nenghai Yu, Zhiming Ma, Tie-Yan Liu:
Asynchronous Stochastic Gradient Descent with Delay Compensation. ICML 2017: 4120-4129 - [c17]Quanming Yao, James T. Kwok, Fei Gao, Wei Chen, Tie-Yan Liu:
Efficient Inexact Proximal Gradient Algorithm for Nonconvex Problems. IJCAI 2017: 3308-3314 - [c16]Guolin Ke, Qi Meng, Thomas Finley, Taifeng Wang, Wei Chen, Weidong Ma, Qiwei Ye, Tie-Yan Liu:
LightGBM: A Highly Efficient Gradient Boosting Decision Tree. NIPS 2017: 3146-3154 - [c15]Yue Wang, Wei Chen, Yuting Liu, Zhiming Ma, Tie-Yan Liu:
Finite sample analysis of the GTD Policy Evaluation Algorithms in Markov Setting. NIPS 2017: 5504-5513 - [c14]Shizhao Sun, Wei Chen, Jiang Bian, Xiaoguang Liu, Tie-Yan Liu:
Ensemble-Compression: A New Method for Parallel Training of Deep Neural Networks. ECML/PKDD (1) 2017: 187-202 - [c13]Tie-Yan Liu, Wei Chen, Taifeng Wang:
Distributed Machine Learning: Foundations, Trends, and Practices. WWW (Companion Volume) 2017: 913-915 - [i14]Yingce Xia, Tao Qin, Wei Chen, Jiang Bian, Nenghai Yu, Tie-Yan Liu:
Dual Supervised Learning. CoRR abs/1707.00415 (2017) - [i13]Shizhao Sun, Wei Chen, Jiang Bian, Xiaoguang Liu, Tie-Yan Liu:
Slim-DP: A Light Communication Data Parallelism for DNN. CoRR abs/1709.09393 (2017) - [i12]Qi Meng, Wei Chen, Yue Wang, Zhiming Ma, Tie-Yan Liu:
Convergence Analysis of Distributed Stochastic Gradient Descent with Shuffling. CoRR abs/1709.10432 (2017) - 2016
- [c12]Shizhao Sun, Wei Chen, Liwei Wang, Xiaoguang Liu, Tie-Yan Liu:
On the Depth of Deep Neural Networks: A Theoretical View. AAAI 2016: 2066-2072 - [c11]Qi Meng, Wei Chen, Jingcheng Yu, Taifeng Wang, Zhiming Ma, Tie-Yan Liu:
Asynchronous Accelerated Stochastic Gradient Descent. IJCAI 2016: 1853-1859 - [c10]Qi Meng, Guolin Ke, Taifeng Wang, Wei Chen, Qiwei Ye, Zhiming Ma, Tie-Yan Liu:
A Communication-Efficient Parallel Algorithm for Decision Tree. NIPS 2016: 1271-1279 - [i11]Shizhao Sun, Wei Chen, Jiang Bian, Xiaoguang Liu, Tie-Yan Liu:
Ensemble-Compression: A New Method for Parallel Training of Deep Neural Networks. CoRR abs/1606.00575 (2016) - [i10]Shuxin Zheng, Qi Meng, Taifeng Wang, Wei Chen, Nenghai Yu, Zhiming Ma, Tie-Yan Liu:
Asynchronous Stochastic Gradient Descent with Delay Compensation for Distributed Deep Learning. CoRR abs/1609.08326 (2016) - [i9]Qi Meng, Yue Wang, Wei Chen, Taifeng Wang, Zhiming Ma, Tie-Yan Liu:
Generalization Error Bounds for Optimization Algorithms via Stability. CoRR abs/1609.08397 (2016) - [i8]Qi Meng, Wei Chen, Jingcheng Yu, Taifeng Wang, Zhiming Ma, Tie-Yan Liu:
Asynchronous Stochastic Proximal Optimization Algorithms with Variance Reduction. CoRR abs/1609.08435 (2016) - [i7]Qi Meng, Guolin Ke, Taifeng Wang, Wei Chen, Qiwei Ye, Zhiming Ma, Tie-Yan Liu:
A Communication-Efficient Parallel Algorithm for Decision Tree. CoRR abs/1611.01276 (2016) - 2015
- [c9]Haifang Li, Fei Tian, Wei Chen, Tao Qin, Zhiming Ma, Tie-Yan Liu:
Generalization Analysis for Game-Theoretic Machine Learning. AAAI 2015: 2089-2095 - [c8]Tie-Yan Liu, Wei Chen, Tao Qin:
Mechanism Learning with Mechanism Induced Data. AAAI 2015: 4037-4041 - [i6]Shizhao Sun, Wei Chen, Liwei Wang, Tie-Yan Liu:
Large Margin Deep Neural Networks: Theory and Algorithms. CoRR abs/1506.05232 (2015) - 2014
- [j2]Tao Qin, Wei Chen, Tie-Yan Liu:
Sponsored Search Auctions: Recent Advances and Future Directions. ACM Trans. Intell. Syst. Technol. 5(4): 60:1-60:34 (2014) - [c7]Fei Tian, Haifang Li, Wei Chen, Tao Qin, Enhong Chen, Tie-Yan Liu:
Agent Behavior Prediction and Its Generalization Analysis. AAAI 2014: 1300-1306 - [c6]Wei Chen, Di He, Tie-Yan Liu, Tao Qin, Yixin Tao, Liwei Wang:
Generalized second price auction with probabilistic broad match. EC 2014: 39-56 - [c5]Jun Feng, Jiang Bian, Taifeng Wang, Wei Chen, Xiaoyan Zhu, Tie-Yan Liu:
Sampling dilemma: towards effective data sampling for click prediction in sponsored search. WSDM 2014: 103-112 - [i5]Wei Chen, Di He, Tie-Yan Liu, Tao Qin, Yixin Tao, Liwei Wang:
Generalized Second Price Auction with Probabilistic Broad Match. CoRR abs/1404.3828 (2014) - [i4]Fei Tian, Haifang Li, Wei Chen, Tao Qin, Enhong Chen, Tie-Yan Liu:
Agent Behavior Prediction and Its Generalization Analysis. CoRR abs/1404.4960 (2014) - [i3]Di He, Wei Chen, Liwei Wang, Tie-Yan Liu:
A Game-theoretic Machine Learning Approach for Revenue Maximization in Sponsored Search. CoRR abs/1406.0728 (2014) - [i2]Haifang Li, Fei Tian, Wei Chen, Tao Qin, Tie-Yan Liu:
Generalization Analysis for Game-Theoretic Machine Learning. CoRR abs/1410.3341 (2014) - 2013
- [j1]Di He, Wei Chen, Liwei Wang, Tie-Yan Liu:
Online learning for auction mechanism in bandit setting. Decis. Support Syst. 56: 379-386 (2013) - [c4]Di He, Wei Chen, Liwei Wang, Tie-Yan Liu:
A Game-Theoretic Machine Learning Approach for Revenue Maximization in Sponsored Search. IJCAI 2013: 206-212 - [i1]Yining Wang, Liwei Wang, Yuanzhi Li, Di He, Tie-Yan Liu, Wei Chen:
A Theoretical Analysis of NDCG Type Ranking Measures. CoRR abs/1304.6480 (2013) - 2012
- [c3]Lei Yao, Wei Chen, Tie-Yan Liu:
Convergence Analysis for Weighted Joint Strategy Fictitious Play in Generalized Second Price Auction. WINE 2012: 489-495 - 2010
- [c2]Wei Chen, Tie-Yan Liu, Zhiming Ma:
Two-Layer Generalization Analysis for Ranking Using Rademacher Average. NIPS 2010: 370-378
2000 – 2009
- 2009
- [c1]Wei Chen, Tie-Yan Liu, Yanyan Lan, Zhiming Ma, Hang Li:
Ranking Measures and Loss Functions in Learning to Rank. NIPS 2009: 315-323
Coauthor Index
[i54] [c42] [c41] [c40] [c39] [c38] [c37] [c36] [c35] [c34] [i52] [i50] [i49] [i48] [i47] [i46] [i45] [i44] [i43] [i42] [i40] [i39] [i37] [j6] [j5] [c30] [i34] [i32] [i31] [i30] [j4] [j3] [c29] [c28] [c27] [i27] [i26] [i25] [i24] [i22] [c26] [c25] [c24] [c23] [i21] [i20] [i19] [i18] [i17] [i16] [i15] [c22] [c21] [c19] [c18] [c17] [c16] [c15] [c14] [c13] [i14] [i13] [i12] [c12] [c11] [c10] [i11] [i10] [i9] [i8] [i7] [c9] [c8] [i6] [j2] [c7] [c6] [c5] [i5] [i4] [i3] [i2] [j1] [c4] [i1] [c3] [c2] [c1]
Zhiming Ma
aka: Zhi-Ming Ma
aka: Zhi-Ming Ma
a service of 
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
load content from web.archive.org
Privacy notice: By enabling the option above, your browser will contact the API of web.archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
Tweets on dblp homepage
Show tweets from 
on the dblp homepage.
Privacy notice: By enabling the option above, your browser will contact twitter.com and twimg.com to load tweets curated by our Twitter account. At the same time, Twitter will persistently store several cookies with your web browser. While we did signal Twitter to not track our users by setting the "dnt" flag, we do not have any control over how Twitter uses your data. So please proceed with care and consider checking the Twitter privacy policy.
last updated on 2022-05-21 23:55 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp has been originally created in 1993 at:
since 2018, dblp is operated and maintained by:
the dblp computer science bibliography is funded and supported by:
