
Tong Zhang 0001
张潼
Person information
- unicode name: 张潼
- affiliation: Hong Kong University of Science and Technology, China
- affiliation (former): Tencent AI Lab, Shenzhen, China
- affiliation (former): Rutgers University, Department of Statistics, NJ, USA
- affiliation (former): Baidu Inc. Beijing, China
- affiliation (former): Yahoo
- affiliation (former): IBM T. J. Watson Research Center, Yorktown Heights, NY, USA
- affiliation (PhD): Stanford University, CA, USA
Other persons with the same name
- Tong Zhang — disambiguation page
- Tong Zhang 0002 — Rensselaer Polytechnic Institute, Troy, NY, USA (and 1 more)
- Tong Zhang 0003 — Shanghai Jiaotong University, Department of Computer Science and Technology, China
- Tong Zhang 0004 — University of Southern California, Department of Electrical Engineering Systems, Los Angeles, CA, USA
- Tong Zhang 0005 — University of Illinois, Beckman Institute, Urbana, IL, USA
- Tong Zhang 0006 — SRA Corporation, Arlington, VA, USA
- Tong Zhang 0007 — Hewlett-Packard Labs, Palo Alto, CA, USA
- Tong Zhang 0008 — National University of Defense Technology, Changsha, China
- Tong Zhang 0009 — Wuhan University, State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, China (and 2 more)
- Tong Zhang 0010 — Henan Polytechnic University, School of Mathematics and Information Science, Jiaozuo, China (and 1 more)
- Tong Zhang 0011
— Wuhan University of Technology, Intelligent Transportation Systems Research Center, China
- Tong Zhang 0012 — Tsinghua University, Department of Engineering Mechanics, School of Aerospace, Beijing, China
- Tong Zhang 0013 — Kyushu University, Graduate School of Information Science and Electrical Engineering, Fukuoka, Japan
- Tong Zhang 0014 — Southeast University, School of Electronic Science and Engineering, MOE Key Laboratory of Micro-Inertial Instrument and Advanced Navigation Technology, Nanjing, China
- Tong Zhang 0015
— South China University of Technology, School of Electronics and Information, Guangzhou, China (and 1 more)
- Tong Zhang 0016 — Fuzhou University, College of Mathematics & Computer Science, China
- Tong Zhang 0017
— King's College London, Department of Biomedical Engineering, UK (and 1 more)
- Tong Zhang 0018
— Tsinghua University, Department of Computer Science and Technology, TNList, Beijing, China
- Tong Zhang 0019
— University of Washington, Department of Electrical Engineering, Seattle, WA, USA
- Tong Zhang 0020
— University of Edinburgh, Institute for Digital Communications, Edinburgh, UK
- Tong Zhang 0021
— Nanjing University of Science and Technology, School of Computer Science and Technology, China (and 1 more)
- Tong Zhang 0023 — EPFL, Lausanne, Switzerland (and 1 more)
- Tong Zhang 0024
— Peking University, Institute of Computer Science and Technology, Beijing, China
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2020 – today
- 2021
- [j63]Rie Johnson
, Tong Zhang
:
A Framework of Composite Functional Gradient Methods for Generative Adversarial Models. IEEE Trans. Pattern Anal. Mach. Intell. 43(1): 17-32 (2021) - [j62]Jun Song, Yueyang Wang, Siliang Tang, Yin Zhang, Zhigang Chen, Zhongfei Zhang, Tong Zhang, Fei Wu:
Local-Global Memory Neural Network for Medication Prediction. IEEE Trans. Neural Networks Learn. Syst. 32(4): 1723-1736 (2021) - 2020
- [j61]Baoyuan Wu
, Li Shen
, Tong Zhang
, Bernard Ghanem
:
MAP Inference Via ℓ 2-Sphere Linear Program Reformulation. Int. J. Comput. Vis. 128(7): 1913-1936 (2020) - [j60]Conghui Tan, Yuqiu Qian, Shiqian Ma, Tong Zhang:
Accelerated dual-averaging primal-dual method for composite convex minimization. Optim. Methods Softw. 35(4): 741-766 (2020) - [j59]Wenhan Luo
, Peng Sun, Fangwei Zhong
, Wei Liu
, Tong Zhang
, Yizhou Wang
:
End-to-End Active Object Tracking and Its Real-World Deployment via Reinforcement Learning. IEEE Trans. Pattern Anal. Mach. Intell. 42(6): 1317-1332 (2020) - [j58]Shixiang Chen, Shiqian Ma, Anthony Man-Cho So, Tong Zhang:
Proximal Gradient Method for Nonsmooth Optimization over the Stiefel Manifold. SIAM J. Optim. 30(1): 210-239 (2020) - [c129]Chaoyang He, Haishan Ye, Li Shen, Tong Zhang:
MiLeNAS: Efficient Neural Architecture Search via Mixed-Level Reformulation. CVPR 2020: 11990-11999 - [c128]Zhichao Huang, Tong Zhang:
Black-Box Adversarial Attack with Transferable Model-based Embedding. ICLR 2020 - [c127]Rie Johnson, Tong Zhang:
Guided Learning of Nonconvex Models through Successive Functional Gradient Optimization. ICML 2020: 4921-4930 - [c126]Zixiang Chen, Yuan Cao, Quanquan Gu, Tong Zhang:
A Generalized Neural Tangent Kernel Analysis for Two-layer Neural Networks. NeurIPS 2020 - [c125]Yihong Gu, Weizhong Zhang, Cong Fang, Jason D. Lee, Tong Zhang:
How to Characterize The Landscape of Overparameterized Convolutional Neural Networks. NeurIPS 2020 - [c124]Luo Luo, Haishan Ye, Zhichao Huang, Tong Zhang:
Stochastic Recursive Gradient Descent Ascent for Stochastic Nonconvex-Strongly-Concave Minimax Problems. NeurIPS 2020 - [c123]Haishan Ye, Ziang Zhou, Luo Luo, Tong Zhang:
Decentralized Accelerated Proximal Gradient Descent. NeurIPS 2020 - [i91]Luo Luo, Haishan Ye, Tong Zhang:
Stochastic Recursive Gradient Descent Ascent for Stochastic Nonconvex-Strongly-Concave Minimax Problems. CoRR abs/2001.03724 (2020) - [i90]Conghui Tan, Yuqiu Qian, Shiqian Ma, Tong Zhang:
Accelerated Dual-Averaging Primal-Dual Method for Composite Convex Minimization. CoRR abs/2001.05537 (2020) - [i89]Zixiang Chen, Yuan Cao, Quanquan Gu, Tong Zhang:
Mean-Field Analysis of Two-Layer Neural Networks: Non-Asymptotic Rates and Generalization Bounds. CoRR abs/2002.04026 (2020) - [i88]Chaoyang He, Haishan Ye, Li Shen, Tong Zhang:
MiLeNAS: Efficient Neural Architecture Search via Mixed-Level Reformulation. CoRR abs/2003.12238 (2020) - [i87]Haishan Ye, Luo Luo, Ziang Zhou, Tong Zhang:
Multi-consensus Decentralized Accelerated Gradient Descent. CoRR abs/2005.00797 (2020) - [i86]Jason Ge, Xingguo Li, Haoming Jiang, Han Liu, Tong Zhang, Mengdi Wang, Tuo Zhao:
Picasso: A Sparse Learning Library for High Dimensional Data Analysis in R and Python. CoRR abs/2006.15261 (2020) - [i85]Rie Johnson, Tong Zhang:
Guided Learning of Nonconvex Models through Successive Functional Gradient Optimization. CoRR abs/2006.16840 (2020) - [i84]Cong Fang, Jason D. Lee, Pengkun Yang, Tong Zhang:
Modeling from Features: a Mean-field Framework for Over-parameterized Deep Neural Networks. CoRR abs/2007.01452 (2020) - [i83]Zhichao Huang, Yaowei Huang, Tong Zhang:
CorrAttack: Black-box Adversarial Attack with Structured Search. CoRR abs/2010.01250 (2020)
2010 – 2019
- 2019
- [j57]Baoyuan Wu, Weidong Chen, Yanbo Fan, Yong Zhang, Jinlong Hou, Jie Liu, Tong Zhang:
Tencent ML-Images: A Large-Scale Multi-Label Image Database for Visual Representation Learning. IEEE Access 7: 172683-172693 (2019) - [j56]Lei Han, Lei Li, Feng Wen, Lei Zhong, Tong Zhang, Xiu-Feng Wan:
Graph-guided multi-task sparse learning model: a method for identifying antigenic variants of influenza A(H3N2) virus. Bioinform. 35(1): 77-87 (2019) - [j55]Jason Ge, Xingguo Li, Haoming Jiang, Han Liu, Tong Zhang, Mengdi Wang
, Tuo Zhao:
Picasso: A Sparse Learning Library for High Dimensional Data Analysis in R and Python. J. Mach. Learn. Res. 20: 44:1-44:5 (2019) - [j54]Luo Luo, Cheng Chen, Zhihua Zhang, Wu-Jun Li, Tong Zhang:
Robust Frequent Directions with Application in Online Learning. J. Mach. Learn. Res. 20: 45:1-45:41 (2019) - [j53]Kean Ming Tan, Junwei Lu, Tong Zhang, Han Liu:
Layer-Wise Learning Strategy for Nonparametric Tensor Product Smoothing Spline Regression and Graphical Models. J. Mach. Learn. Res. 20: 119:1-119:38 (2019) - [c122]Zi-Yi Dou, Zhaopeng Tu, Xing Wang, Longyue Wang, Shuming Shi, Tong Zhang:
Dynamic Layer Aggregation for Neural Machine Translation with Routing-by-Agreement. AAAI 2019: 86-93 - [c121]Xiang Kong, Zhaopeng Tu, Shuming Shi, Eduard H. Hovy, Tong Zhang:
Neural Machine Translation with Adequacy-Oriented Learning. AAAI 2019: 6618-6625 - [c120]Xin-Rong Gong, Jian-Xiu Jin, Tong Zhang:
Sentiment Analysis Using Autoregressive Language Modeling and Broad Learning System. BIBM 2019: 1130-1134 - [c119]Cong Fang, Zhouchen Lin, Tong Zhang:
Sharp Analysis for Nonconvex SGD Escaping from Saddle Points. COLT 2019: 1192-1234 - [c118]Yinpeng Dong, Hang Su, Baoyuan Wu, Zhifeng Li, Wei Liu
, Tong Zhang, Jun Zhu:
Efficient Decision-Based Black-Box Adversarial Attacks on Face Recognition. CVPR 2019: 7714-7722 - [c117]Lei Han, Peng Sun, Yali Du, Jiechao Xiong, Qing Wang, Xinghai Sun, Han Liu, Tong Zhang:
Grid-Wise Control for Multi-Agent Reinforcement Learning in Video Game AI. ICML 2019: 2576-2585 - [i82]Baoyuan Wu, Weidong Chen, Yanbo Fan, Yong Zhang, Jinlong Hou, Jie Liu, Junzhou Huang, Wei Liu, Tong Zhang:
Tencent ML-Images: A Large-Scale Multi-Label Image Database for Visual Representation Learning. CoRR abs/1901.01703 (2019) - [i81]Cong Fang, Zhouchen Lin, Tong Zhang:
Sharp Analysis for Nonconvex SGD Escaping from Saddle Points. CoRR abs/1902.00247 (2019) - [i80]Zi-Yi Dou, Zhaopeng Tu, Xing Wang, Longyue Wang, Shuming Shi, Tong Zhang:
Dynamic Layer Aggregation for Neural Machine Translation with Routing-by-Agreement. CoRR abs/1902.05770 (2019) - [i79]Yinpeng Dong, Hang Su, Baoyuan Wu, Zhifeng Li, Wei Liu, Tong Zhang, Jun Zhu:
Efficient Decision-based Black-box Adversarial Attacks on Face Recognition. CoRR abs/1904.04433 (2019) - [i78]Baoyuan Wu, Li Shen, Bernard Ghanem, Tong Zhang:
MAP Inference via L2-Sphere Linear Program Reformulation. CoRR abs/1905.03433 (2019) - [i77]Haishan Ye, Tong Zhang:
Mirror Natural Evolution Strategies. CoRR abs/1910.11490 (2019) - [i76]Cong Fang, Hanze Dong, Tong Zhang:
Over Parameterized Two-level Neural Networks Can Learn Near Optimal Feature Representations. CoRR abs/1910.11508 (2019) - [i75]Zhichao Huang, Tong Zhang:
Black-Box Adversarial Attack with Transferable Model-based Embedding. CoRR abs/1911.07140 (2019) - [i74]Cong Fang, Yihong Gu, Weizhong Zhang, Tong Zhang:
Convex Formulation of Overparameterized Deep Neural Networks. CoRR abs/1911.07626 (2019) - [i73]Haishan Ye, Shusen Wang, Zhihua Zhang, Tong Zhang:
Fast Generalized Matrix Regression with Applications in Machine Learning. CoRR abs/1912.12008 (2019) - 2018
- [j52]Chris Junchi Li, Mengdi Wang
, Han Liu, Tong Zhang:
Near-optimal stochastic approximation for online principal component estimation. Math. Program. 167(1): 75-97 (2018) - [j51]Zhaopeng Tu, Yang Liu, Shuming Shi, Tong Zhang:
Learning to Remember Translation History with a Continuous Cache. Trans. Assoc. Comput. Linguistics 6: 407-420 (2018) - [j50]Dong Dai
, Lei Han
, Ting Yang, Tong Zhang
:
Bayesian Model Averaging With Exponentiated Least Squares Loss. IEEE Trans. Inf. Theory 64(5): 3331-3345 (2018) - [c116]Longyue Wang, Zhaopeng Tu, Shuming Shi, Tong Zhang, Yvette Graham, Qun Liu:
Translating Pro-Drop Languages With Reconstruction Models. AAAI 2018: 4937-4945 - [c115]Yang Feng, Lin Ma, Wei Liu
, Tong Zhang, Jiebo Luo:
Video Re-localization. ECCV (14) 2018: 55-70 - [c114]Xinyu Gong, Haozhi Huang, Lin Ma, Fumin Shen, Wei Liu
, Tong Zhang:
Neural Stereoscopic Image Style Transfer. ECCV (5) 2018: 56-71 - [c113]Minjun Li, Haozhi Huang, Lin Ma, Wei Liu
, Tong Zhang, Yu-Gang Jiang:
Unsupervised Image-to-Image Translation with Stacked Cycle-Consistent Adversarial Networks. ECCV (9) 2018: 186-201 - [c112]Kaipeng Zhang
, Zhanpeng Zhang
, Chia-Wen Cheng
, Winston H. Hsu
, Yu Qiao
, Wei Liu
, Tong Zhang
:
Super-Identity Convolutional Neural Network for Face Hallucination. ECCV (11) 2018: 196-211 - [c111]Yonggen Ling, Linchao Bao
, Zequn Jie, Fengming Zhu, Ziyang Li, Shanmin Tang, Yongsheng Liu, Wei Liu
, Tong Zhang:
Modeling Varying Camera-IMU Time Offset in Optimization-Based Visual-Inertial Odometry. ECCV (9) 2018: 491-507 - [c110]Wenhao Jiang, Lin Ma, Yu-Gang Jiang, Wei Liu
, Tong Zhang:
Recurrent Fusion Network for Image Captioning. ECCV (2) 2018: 510-526 - [c109]Yitong Wang
, Dihong Gong
, Zheng Zhou
, Xing Ji
, Hao Wang
, Zhifeng Li
, Wei Liu
, Tong Zhang
:
Orthogonal Deep Features Decomposition for Age-Invariant Face Recognition. ECCV (15) 2018: 764-779 - [c108]Jian Li, Zhaopeng Tu, Baosong Yang, Michael R. Lyu, Tong Zhang:
Multi-Head Attention with Disagreement Regularization. EMNLP 2018: 2897-2903 - [c107]Yi Liao, Lidong Bing, Piji Li, Shuming Shi, Wai Lam, Tong Zhang:
QuaSE: Sequence Editing under Quantifiable Guidance. EMNLP 2018: 3855-3864 - [c106]Zi-Yi Dou, Zhaopeng Tu, Xing Wang, Shuming Shi, Tong Zhang:
Exploiting Deep Representations for Neural Machine Translation. EMNLP 2018: 4253-4262 - [c105]Baosong Yang, Zhaopeng Tu, Derek F. Wong, Fandong Meng, Lidia S. Chao, Tong Zhang:
Modeling Localness for Self-Attention Networks. EMNLP 2018: 4449-4458 - [c104]Rie Johnson, Tong Zhang:
Composite Functional Gradient Learning of Generative Adversarial Models. ICML 2018: 2376-2384 - [c103]Wenhan Luo, Peng Sun, Fangwei Zhong, Wei Liu, Tong Zhang, Yizhou Wang:
End-to-end Active Object Tracking via Reinforcement Learning. ICML 2018: 3292-3301 - [c102]Li Shen, Peng Sun, Yitong Wang, Wei Liu, Tong Zhang:
An Algorithmic Framework of Variable Metric Over-Relaxed Hybrid Proximal Extra-Gradient Method. ICML 2018: 4641-4650 - [c101]Qiang Sun, Kean Ming Tan, Han Liu, Tong Zhang:
Graphical Nonconvex Optimization via an Adaptive Convex Relaxation. ICML 2018: 4817-4824 - [c100]Jiaxiang Wu, Weidong Huang, Junzhou Huang, Tong Zhang:
Error Compensated Quantized SGD and its Applications to Large-scale Distributed Optimization. ICML 2018: 5321-5329 - [c99]Weizhong Zhang, Bin Hong, Lin Ma, Wei Liu, Tong Zhang:
Safe Element Screening for Submodular Function Minimization. ICML 2018: 5781-5790 - [c98]Kaiqing Zhang, Zhuoran Yang, Han Liu, Tong Zhang, Tamer Basar:
Fully Decentralized Multi-Agent Reinforcement Learning with Networked Agents. ICML 2018: 5867-5876 - [c97]Luo Luo, Wenpeng Zhang, Zhihua Zhang, Wenwu Zhu, Tong Zhang, Jian Pei:
Sketched Follow-The-Regularized-Leader for Online Factorization Machine. KDD 2018: 1900-1909 - [c96]Cong Fang, Chris Junchi Li, Zhouchen Lin, Tong Zhang:
SPIDER: Near-Optimal Non-Convex Optimization via Stochastic Path-Integrated Differential Estimator. NeurIPS 2018: 687-697 - [c95]Jianqiao Wangni, Jialei Wang, Ji Liu, Tong Zhang:
Gradient Sparsification for Communication-Efficient Distributed Optimization. NeurIPS 2018: 1306-1316 - [c94]Qing Wang, Jiechao Xiong, Lei Han, Peng Sun, Han Liu, Tong Zhang:
Exponentially Weighted Imitation Learning for Batched Historical Data. NeurIPS 2018: 6291-6300 - [c93]Conghui Tan, Tong Zhang, Shiqian Ma, Ji Liu:
Stochastic Primal-Dual Method for Empirical Risk Minimization with O(1) Per-Iteration Complexity. NeurIPS 2018: 8376-8385 - [c92]Xinpeng Chen, Jingyuan Chen, Lin Ma, Jian Yao, Wei Liu
, Jiebo Luo, Tong Zhang:
Fine-grained Video Attractiveness Prediction Using Multimodal Deep Learning on a Large Real-world Dataset. WWW (Companion Volume) 2018: 671-678 - [i72]Longyue Wang, Zhaopeng Tu, Shuming Shi, Tong Zhang, Yvette Graham, Qun Liu:
Translating Pro-Drop Languages with Reconstruction Models. CoRR abs/1801.03257 (2018) - [i71]Rie Johnson, Tong Zhang:
Composite Functional Gradient Learning of Generative Adversarial Models. CoRR abs/1801.06309 (2018) - [i70]Kaiqing Zhang, Zhuoran Yang, Han Liu, Tong Zhang, Tamer Basar:
Fully Decentralized Multi-Agent Reinforcement Learning with Networked Agents. CoRR abs/1802.08757 (2018) - [i69]Xinyu Gong, Haozhi Huang, Lin Ma, Fumin Shen, Wei Liu, Tong Zhang:
Neural Stereoscopic Image Style Transfer. CoRR abs/1802.09985 (2018) - [i68]Xinpeng Chen, Jingyuan Chen, Lin Ma, Jian Yao, Wei Liu, Jiebo Luo, Tong Zhang:
Fine-grained Video Attractiveness Prediction Using Multimodal Deep Learning on a Large Real-world Dataset. CoRR abs/1804.01373 (2018) - [i67]Yi Liao, Lidong Bing, Piji Li, Shuming Shi, Wai Lam, Tong Zhang:
Incorporating Pseudo-Parallel Data for Quantifiable Sequence Editing. CoRR abs/1804.07007 (2018) - [i66]Li Shen, Peng Sun, Yitong Wang, Wei Liu, Tong Zhang:
An Algorithmic Framework of Variable Metric Over-Relaxed Hybrid Proximal Extra-Gradient Method. CoRR abs/1805.06137 (2018) - [i65]Weizhong Zhang, Bin Hong, Lin Ma, Wei Liu, Tong Zhang:
Safe Element Screening for Submodular Function Minimization. CoRR abs/1805.08527 (2018) - [i64]Jiaxiang Wu, Weidong Huang, Junzhou Huang, Tong Zhang:
Error Compensated Quantized SGD and its Applications to Large-scale Distributed Optimization. CoRR abs/1806.08054 (2018) - [i63]Cong Fang, Chris Junchi Li, Zhouchen Lin, Tong Zhang:
SPIDER: Near-Optimal Non-Convex Optimization via Stochastic Path Integrated Differential Estimator. CoRR abs/1807.01695 (2018) - [i62]Minjun Li, Haozhi Huang, Lin Ma, Wei Liu, Tong Zhang, Yu-Gang Jiang:
Unsupervised Image-to-Image Translation with Stacked Cycle-Consistent Adversarial Networks. CoRR abs/1807.08536 (2018) - [i61]Wenhao Jiang, Lin Ma, Yu-Gang Jiang, Wei Liu, Tong Zhang:
Recurrent Fusion Network for Image Captioning. CoRR abs/1807.09986 (2018) - [i60]Yang Feng, Lin Ma, Wei Liu, Tong Zhang, Jiebo Luo:
Video Re-localization. CoRR abs/1808.01575 (2018) - [i59]Wenhan Luo, Peng Sun, Fangwei Zhong, Wei Liu, Tong Zhang, Yizhou Wang:
End-to-end Active Object Tracking and Its Real-world Deployment via Reinforcement Learning. CoRR abs/1808.03405 (2018) - [i58]Chris Junchi Li, Mengdi Wang, Han Liu, Tong Zhang:
Diffusion Approximations for Online Principal Component Estimation and Global Convergence. CoRR abs/1808.09645 (2018) - [i57]Kean Ming Tan, Zhaoran Wang, Tong Zhang, Han Liu, R. Dennis Cook:
A convex formulation for high-dimensional sparse sliced inverse regression. CoRR abs/1809.06024 (2018) - [i56]Peng Sun, Xinghai Sun, Lei Han, Jiechao Xiong, Qing Wang, Bo Li, Yang Zheng, Ji Liu, Yongsheng Liu, Han Liu, Tong Zhang:
TStarBots: Defeating the Cheating Level Builtin AI in StarCraft II in the Full Game. CoRR abs/1809.07193 (2018) - [i55]Chao-Bing Song, Ji Liu, Han Liu, Yong Jiang, Tong Zhang:
Fully Implicit Online Learning. CoRR abs/1809.09350 (2018) - [i54]Yonggen Ling, Linchao Bao, Zequn Jie, Fengming Zhu, Ziyang Li, Shanmin Tang, Yongsheng Liu, Wei Liu, Tong Zhang:
Modeling Varying Camera-IMU Time Offset in Optimization-Based Visual-Inertial Odometry. CoRR abs/1810.05456 (2018) - [i53]Jiechao Xiong, Qing Wang, Zhuoran Yang, Peng Sun, Lei Han, Yang Zheng, Haobo Fu, Tong Zhang, Ji Liu, Han Liu:
Parametrized Deep Q-Networks Learning: Reinforcement Learning with Discrete-Continuous Hybrid Action Space. CoRR abs/1810.06394 (2018) - [i52]Yitong Wang, Dihong Gong, Zheng Zhou, Xing Ji, Hao Wang, Zhifeng Li, Wei Liu, Tong Zhang:
Orthogonal Deep Features Decomposition for Age-Invariant Face Recognition. CoRR abs/1810.07599 (2018) - [i51]Zi-Yi Dou, Zhaopeng Tu, Xing Wang, Shuming Shi, Tong Zhang:
Exploiting Deep Representations for Neural Machine Translation. CoRR abs/1810.10181 (2018) - [i50]Baosong Yang, Zhaopeng Tu, Derek F. Wong, Fandong Meng, Lidia S. Chao, Tong Zhang:
Modeling Localness for Self-Attention Networks. CoRR abs/1810.10182 (2018) - [i49]Jian Li, Zhaopeng Tu, Baosong Yang, Michael R. Lyu, Tong Zhang:
Multi-Head Attention with Disagreement Regularization. CoRR abs/1810.10183 (2018) - [i48]Conghui Tan, Tong Zhang, Shiqian Ma, Ji Liu:
Stochastic Primal-Dual Method for Empirical Risk Minimization with O(1) Per-Iteration Complexity. CoRR abs/1811.01182 (2018) - [i47]Kaipeng Zhang, Zhanpeng Zhang, Chia-Wen Cheng, Winston H. Hsu, Yu Qiao, Wei Liu, Tong Zhang:
Super-Identity Convolutional Neural Network for Face Hallucination. CoRR abs/1811.02328 (2018) - [i46]Xiang Kong, Zhaopeng Tu, Shuming Shi, Eduard H. Hovy, Tong Zhang:
Neural Machine Translation with Adequacy-Oriented Learning. CoRR abs/1811.08541 (2018) - [i45]Kaiqing Zhang, Zhuoran Yang, Han Liu, Tong Zhang, Tamer Basar:
Finite-Sample Analyses for Fully Decentralized Multi-Agent Reinforcement Learning. CoRR abs/1812.02783 (2018) - [i44]Haishan Ye, Zhichao Huang, Cong Fang, Chris Junchi Li, Tong Zhang:
Hessian-Aware Zeroth-Order Optimization for Black-Box Adversarial Attack. CoRR abs/1812.11377 (2018) - 2017
- [j49]Jun Li
, Tong Zhang, Wei Luo, Jian Yang, Xiao-Tong Yuan, Jian Zhang:
Sparseness Analysis in the Pretraining of Deep Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 28(6): 1425-1438 (2017) - [c91]Rie Johnson, Tong Zhang:
Deep Pyramid Convolutional Neural Networks for Text Categorization. ACL (1) 2017: 562-570 - [c90]Jialei Wang, Mladen Kolar, Nathan Srebro, Tong Zhang:
Efficient Distributed Learning with Sparsity. ICML 2017: 3636-3645 - [c89]Chris Junchi Li, Mengdi Wang, Tong Zhang:
Diffusion Approximations for Online Principal Component Estimation and Global Convergence. NIPS 2017: 645-655 - [c88]Xingguo Li, Lin Yang, Jason Ge, Jarvis D. Haupt, Tong Zhang, Tuo Zhao:
On Quadratic Convergence of DC Proximal Newton Algorithm in Nonconvex Sparse Learning. NIPS 2017: 2742-2752 - [i43]Xingguo Li, Lin F. Yang, Jason Ge, Jarvis D. Haupt, Tong Zhang, Tuo Zhao:
On Quadratic Convergence of DC Proximal Newton Algorithm for Nonconvex Sparse Learning in High Dimensions. CoRR abs/1706.06066 (2017) - [i42]Jialei Wang, Tong Zhang:
Improved Optimization of Finite Sums with Minibatch Stochastic Variance Reduced Proximal Iterations. CoRR abs/1706.07001 (2017) - [i41]Jianqiao Wangni, Jialei Wang, Ji Liu, Tong Zhang:
Gradient Sparsification for Communication-Efficient Distributed Optimization. CoRR abs/1710.09854 (2017) - [i40]Lei Han, Tong Zhang:
Candidates v.s. Noises Estimation for Large Multi-Class Classification Problem. CoRR abs/1711.00658 (2017) - [i39]Zhaopeng Tu, Yang Liu, Shuming Shi, Tong Zhang:
Learning to Remember Translation History with a Continuous Cache. CoRR abs/1711.09367 (2017) - 2016
- [j48]Shai Shalev-Shwartz, Tong Zhang:
Accelerated proximal stochastic dual coordinate ascent for regularized loss minimization. Math. Program. 155(1-2): 105-145 (2016) - [c87]Rie Johnson, Tong Zhang:
Supervised and Semi-Supervised Text Categorization using LSTM for Region Embeddings. ICML 2016: 526-534 - [c86]Zhuoran Yang, Zhaoran Wang, Han Liu, Yonina C. Eldar, Tong Zhang:
Sparse Nonlinear Regression: Parameter Estimation under Nonconvexity. ICML 2016: 2472-2481 - [c85]Lei Han, Yu Zhang
, Xiu-Feng Wan, Tong Zhang:
Generalized Hierarchical Sparse Model for Arbitrary-Order Interactive Antigenic Sites Identification in Flu Virus Data. KDD 2016: 865-874 - [c84]Lei Han, Yu Zhang
, Tong Zhang:
Fast Component Pursuit for Large-Scale Inverse Covariance Estimation. KDD 2016: 1585-1594 - [c83]Xiao-Tong Yuan, Ping Li, Tong Zhang:
Exact Recovery of Hard Thresholding Pursuit. NIPS 2016: 3558-3566 - [c82]Xiao-Tong Yuan, Ping Li, Tong Zhang, Qingshan Liu, Guangcan Liu:
Learning Additive Exponential Family Graphical Models via \ell_{2, 1}-norm Regularized M-Estimation. NIPS 2016: 4367-4375 - [i38]Rie Johnson, Tong Zhang:
Supervised and Semi-Supervised Text Categorization using One-Hot LSTM for Region Embeddings. CoRR abs/1602.02373 (2016) - [i37]Lei Han, Ting Yang, Tong Zhang:
Local Uncertainty Sampling for Large-Scale Multi-Class Logistic Regression. CoRR abs/1604.08098 (2016) - [i36]Jialei Wang, Mladen Kolar, Nathan Srebro, Tong Zhang:
Efficient Distributed Learning with Sparsity. CoRR abs/1605.07991 (2016) - [i35]Rie Johnson, Tong Zhang:
Convolutional Neural Networks for Text Categorization: Shallow Word-level vs. Deep Character-level. CoRR abs/1609.00718 (2016) - 2015
- [b2]