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for scientists:
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
- Tong Zhang 0025 — University of Windsor, ON, Canada
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2020 – today
- 2022
- [i101]Jiafan He, Dongruo Zhou, Tong Zhang, Quanquan Gu:
Nearly Optimal Algorithms for Linear Contextual Bandits with Adversarial Corruptions. CoRR abs/2205.06811 (2022) - 2021
- [j66]Haishan Ye, Tong Zhang:
DeEPCA: Decentralized Exact PCA with Linear Convergence Rate. J. Mach. Learn. Res. 22: 238:1-238:27 (2021) - [j65]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) - [j64]Cong Fang, Hanze Dong
, Tong Zhang
:
Mathematical Models of Overparameterized Neural Networks. Proc. IEEE 109(5): 683-703 (2021) - [j63]Kaiqing Zhang
, Zhuoran Yang
, Han Liu
, Tong Zhang
, Tamer Basar
:
Finite-Sample Analysis for Decentralized Batch Multiagent Reinforcement Learning With Networked Agents. IEEE Trans. Autom. Control. 66(12): 5925-5940 (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) - [c132]Cong Fang, Jason D. Lee, Pengkun Yang, Tong Zhang:
Modeling from Features: a Mean-field Framework for Over-parameterized Deep Neural Networks. COLT 2021: 1887-1936 - [c131]Christoph Dann, Mehryar Mohri, Tong Zhang, Julian Zimmert:
A Provably Efficient Model-Free Posterior Sampling Method for Episodic Reinforcement Learning. NeurIPS 2021: 12040-12051 - [e2]Marina Meila, Tong Zhang:
Proceedings of the 38th International Conference on Machine Learning, ICML 2021, 18-24 July 2021, Virtual Event. Proceedings of Machine Learning Research 139, PMLR 2021 [contents] - [i100]Haishan Ye, Tong Zhang:
DeEPCA: Decentralized Exact PCA with Linear Convergence Rate. CoRR abs/2102.03990 (2021) - [i99]Jianyu Wang, Zachary Charles, Zheng Xu, Gauri Joshi, H. Brendan McMahan, Blaise Agüera y Arcas, Maruan Al-Shedivat, Galen Andrew, Salman Avestimehr, Katharine Daly, Deepesh Data, Suhas N. Diggavi, Hubert Eichner, Advait Gadhikar, Zachary Garrett, Antonious M. Girgis, Filip Hanzely, Andrew Hard, Chaoyang He, Samuel Horváth
, Zhouyuan Huo, Alex Ingerman, Martin Jaggi, Tara Javidi, Peter Kairouz, Satyen Kale, Sai Praneeth Karimireddy, Jakub Konecný, Sanmi Koyejo, Tian Li, Luyang Liu, Mehryar Mohri, Hang Qi, Sashank J. Reddi, Peter Richtárik, Karan Singhal, Virginia Smith, Mahdi Soltanolkotabi, Weikang Song, Ananda Theertha Suresh, Sebastian U. Stich, Ameet Talwalkar, Hongyi Wang, Blake E. Woodworth, Shanshan Wu, Felix X. Yu, Honglin Yuan, Manzil Zaheer, Mi Zhang, Tong Zhang, Chunxiang Zheng, Chen Zhu, Wennan Zhu:
A Field Guide to Federated Optimization. CoRR abs/2107.06917 (2021) - [i98]Shiwei Zhang, Wei Ke, Lin Yang, Qixiang Ye, Xiaopeng Hong, Yihong Gong, Tong Zhang:
Discovery-and-Selection: Towards Optimal Multiple Instance Learning for Weakly Supervised Object Detection. CoRR abs/2110.09060 (2021) - [i97]Rui Pan, Haishan Ye, Tong Zhang:
Eigencurve: Optimal Learning Rate Schedule for SGD on Quadratic Objectives with Skewed Hessian Spectrums. CoRR abs/2110.14109 (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) - [c130]Chaoyang He, Haishan Ye, Li Shen, Tong Zhang:
MiLeNAS: Efficient Neural Architecture Search via Mixed-Level Reformulation. CVPR 2020: 11990-11999 - [c129]Qi Chang, Hui Qu, Yikai Zhang, Mert R. Sabuncu, Chao Chen, Tong Zhang, Dimitris N. Metaxas:
Synthetic Learning: Learn From Distributed Asynchronized Discriminator GAN Without Sharing Medical Image Data. CVPR 2020: 13853-13863 - [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 - [i96]Luo Luo, Haishan Ye, Tong Zhang:
Stochastic Recursive Gradient Descent Ascent for Stochastic Nonconvex-Strongly-Concave Minimax Problems. CoRR abs/2001.03724 (2020) - [i95]Conghui Tan, Yuqiu Qian, Shiqian Ma, Tong Zhang:
Accelerated Dual-Averaging Primal-Dual Method for Composite Convex Minimization. CoRR abs/2001.05537 (2020) - [i94]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) - [i93]Chaoyang He, Haishan Ye, Li Shen, Tong Zhang:
MiLeNAS: Efficient Neural Architecture Search via Mixed-Level Reformulation. CoRR abs/2003.12238 (2020) - [i92]Haishan Ye, Luo Luo, Ziang Zhou
, Tong Zhang:
Multi-consensus Decentralized Accelerated Gradient Descent. CoRR abs/2005.00797 (2020) - [i91]Qi Chang, Hui Qu, Yikai Zhang, Mert R. Sabuncu, Chao Chen, Tong Zhang, Dimitris N. Metaxas:
Synthetic Learning: Learn From Distributed Asynchronized Discriminator GAN Without Sharing Medical Image Data. CoRR abs/2006.00080 (2020) - [i90]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) - [i89]Rie Johnson, Tong Zhang:
Guided Learning of Nonconvex Models through Successive Functional Gradient Optimization. CoRR abs/2006.16840 (2020) - [i88]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) - [i87]Zhichao Huang, Yaowei Huang, Tong Zhang:
CorrAttack: Black-box Adversarial Attack with Structured Search. CoRR abs/2010.01250 (2020) - [i86]Xinwei Shen, Furui Liu, Hanze Dong, Qing Lian, Zhitang Chen, Tong Zhang:
Disentangled Generative Causal Representation Learning. CoRR abs/2010.02637 (2020) - [i85]Qi Chang, Zhennan Yan, Lohendran Baskaran, Hui Qu, Yikai Zhang, Tong Zhang, Shaoting Zhang, Dimitris N. Metaxas:
Multi-modal AsynDGAN: Learn From Distributed Medical Image Data without Sharing Private Information. CoRR abs/2012.08604 (2020) - [i84]Cong Fang, Hanze Dong, Tong Zhang:
Mathematical Models of Overparameterized Neural Networks. CoRR abs/2012.13982 (2020) - [i83]Haishan Ye, Wei Xiong, Tong Zhang:
PMGT-VR: A decentralized proximal-gradient algorithmic framework with variance reduction. CoRR abs/2012.15010 (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]