Zhiming Ma

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 59

Top Topics

Weakly Supervised

Stochastic Gradient Descent

Top Venues

Publications

Zhicheng Liu, Yuan Li, Huazi Zhang, Jun Wang, Guiying Yan, Zhiming Ma
Second-Order Identification Capacity of AWGN Channels. CoRR (2024)
Liuquan Yao, Zhichao Liu, Yuan Li, Huazi Zhang, Jun Wang, Guiying Yan, Zhiming Ma
New Partial Orders of Polar Codes for BMSC. CoRR (2024)
Liuquan Yao, Shuai Yuan, Yuan Li, Huazi Zhang, Jun Wang, Guiying Yan, Zhiming Ma
Fundamental Bounds on Unequal Error Protection Codes. CoRR (2024)
Zhiming Ma, Dali Chen, Yilin Mo, Yue Chen, Yumin Zhang
A Weakly Supervised Semantic Segmentation Method Based on Local Superpixel Transformation. Neural Process. Lett. 55 (9) (2023)
Zicheng Ye, Yuan Li, Huazi Zhang, Jun Wang, Guiying Yan, Zhiming Ma
in Polar Codes. CoRR (2023)
Shuai Yuan, Liuquan Yao, Yuan Li, Huazi Zhang, Jun Wang, Wen Tong, Zhiming Ma
Achieving the Fundamental Limit of Lossless Analog Compression via Polarization. CoRR (2023)
Bowen Gao, Yinjun Jia, Yuanle Mo, Yuyan Ni, Wei-Ying Ma, Zhiming Ma, Yanyan Lan
Self-supervised Pocket Pretraining via Protein Fragment-Surroundings Alignment. CoRR (2023)
Bohan Wang, Huishuai Zhang, Zhiming Ma, Wei Chen
Convergence of AdaGrad for Non-convex Objectives: Simple Proofs and Relaxed Assumptions. COLT (2023)
Haoran Xiong, Zicheng Ye, Huazi Zhang, Jun Wang, Ke Liu, Dawei Yin, Guanghui Wang, Guiying Yan, Zhiming Ma
Theoretical Bounds for the Size of Elementary Trapping Sets by Graphic Methods. CoRR (2023)
Yimeng Chen, Tianyang Hu, Fengwei Zhou, Zhenguo Li, Zhiming Ma
Explore and Exploit the Diverse Knowledge in Model Zoo for Domain Generalization. CoRR (2023)
Shuai Yuan, Liuquan Yao, Yuan Li, Huazi Zhang, Jun Wang, Wen Tong, Zhiming Ma
Lossless Analog Compression via Polarization. GLOBECOM (2023)
Shengchao Liu, Weitao Du, Yanjing Li, Zhuoxinran Li, Zhiling Zheng, Chenru Duan, Zhiming Ma, Omar Yaghi, Anima Anandkumar, Christian Borgs, Jennifer T. Chayes, Hongyu Guo, Jian Tang
Symmetry-Informed Geometric Representation for Molecules, Proteins, and Crystalline Materials. CoRR (2023)
Shengchao Liu, Weitao Du, Zhiming Ma, Hongyu Guo, Jian Tang
A Group Symmetric Stochastic Differential Equation Model for Molecule Multi-modal Pretraining. CoRR (2023)
Yuan Li, Zicheng Ye, Huazi Zhang, Jun Wang, Guiying Yan, Zhiming Ma
On the Weight Spectrum Improvement of Pre-transformed Reed-Muller Codes and Polar Codes. ISIT (2023)
Weitao Du, Jiujiu Chen, Xuecang Zhang, Zhiming Ma, Shengchao Liu
Molecule Joint Auto-Encoding: Trajectory Pretraining with 2D and 3D Diffusion. CoRR (2023)
Yuyan Ni, Yanyan Lan, Ao Liu, Zhiming Ma
Elastic Information Bottleneck. CoRR (2023)
Yuan Li, Zicheng Ye, Huazi Zhang, Jun Wang, Guiying Yan, Zhiming Ma
On the Weight Spectrum Improvement of Pre-transformed Reed-Muller Codes and Polar Codes. CoRR (2023)
Shiqi Gong, Peiyan Hu, Qi Meng, Yue Wang, Rongchan Zhu, Bingguang Chen, Zhiming Ma, Hao Ni, Tie-Yan Liu
Deep Latent Regularity Network for Modeling Stochastic Partial Differential Equations. AAAI (2023)
Wenxuan Lang, Yuan Li, Huazi Zhang, Jun Wang, Guiying Yan, Zhiming Ma
Improved Finite-Length Bound of Gaussian Unsourced Multiple Access. WCNC (2023)
Shiqi Gong, Qi Meng, Yue Wang, Lijun Wu, Wei Chen, Zhiming Ma, Tie-Yan Liu
Incorporating NODE with pre-trained neural differential operator for learning dynamics. Neurocomputing 528 (2023)
Yuancheng Sun, Yimeng Chen, Weizhi Ma, Wenhao Huang, Kang Liu, Zhiming Ma, Wei-Ying Ma, Yanyan Lan
PEMP: Leveraging Physics Properties to Enhance Molecular Property Prediction. CoRR (2022)
Zicheng Ye, Yuan Li, Huazi Zhang, Rong Li, Jun Wang, Guiying Yan, Zhiming Ma
The Complete SC-invariant Affine Automorphisms of Polar Codes. CoRR (2022)
Yuancheng Sun, Yimeng Chen, Weizhi Ma, Wenhao Huang, Kang Liu, Zhiming Ma, Wei-Ying Ma, Yanyan Lan
PEMP: Leveraging Physics Properties to Enhance Molecular Property Prediction. CIKM (2022)
Zicheng Ye, Yuan Li, Huazi Zhang, Rong Li, Jun Wang, Guiying Yan, Zhiming Ma
The Complete SC-Invariant Affine Automorphisms of Polar Codes. ISIT (2022)
Yuan Li, Xianbin Wang, Huazi Zhang, Jun Wang, Wen Tong, Guiying Yan, Zhiming Ma
Deterministic Identification over Channels without CSI. CoRR (2022)
Juanping Zhu, Qi Meng, Wei Chen, Yue Wang, Zhiming Ma
Constructing the Basis Path Set by Eliminating the Path Dependency. J. Syst. Sci. Complex. 35 (5) (2022)
Yuan Li, Xianbin Wang, Huazi Zhang, Jun Wang, Wen Tong, Guiying Yan, Zhiming Ma
Deterministic Identification over Channels without CSI. ITW (2022)
Dawei Yin, Yuan Li, Xianbin Wang, Jiajie Tong, Huazi Zhang, Jun Wang, Guanghui Wang, Guiying Yan, Zhiming Ma
On the Message Passing Efficiency of Polar and Low-Density Parity-Check Decoders. GLOBECOM (Workshops) (2022)
Yimeng Chen, Ruibin Xiong, Zhiming Ma, Yanyan Lan
When Does Group Invariant Learning Survive Spurious Correlations? CoRR (2022)
Dawei Yin, Yuan Li, Xianbin Wang, Jiajie Tong, Huazi Zhang, Jun Wang, Guanghui Wang, Guiying Yan, Zhiming Ma
On the Message Passing Efficiency of Polar and Low-Density Parity-Check Decoders. CoRR (2022)
Yuan Li, Huazi Zhang, Rong Li, Jun Wang, Guiying Yan, Zhiming Ma
On the Weight Spectrum of Pre-Transformed Polar Codes. CoRR (2021)
Mingyang Yi, Lu Hou, Jiacheng Sun, Lifeng Shang, Xin Jiang, Qun Liu, Zhiming Ma
Improved OOD Generalization via Adversarial Training and Pretraing. ICML (2021)
Juanping Zhu, Qi Meng, Wei Chen, Zhiming Ma
Interpreting the Basis Path Set in Neural Networks. J. Syst. Sci. Complex. 34 (6) (2021)
Yuan Li, Huazi Zhang, Rong Li0001, Jun Wang, Wen Tong, Guiying Yan, Zhiming Ma
The Complete Affine Automorphism Group of Polar Codes. GLOBECOM (2021)
Zicheng Ye, Huazi Zhang, Rong Li, Jun Wang, Guiying Yan, Zhiming Ma
Improving the Gilbert-Varshamov Bound by Graph Spectral Method. CoRR (2021)
Yuan Li, Huazi Zhang, Rong Li, Jun Wang, Wen Tong, Guiying Yan, Zhiming Ma
The Complete Affine Automorphism Group of Polar Codes. CoRR (2021)
Yuan Li, Huazi Zhang, Rong Li, Jun Wang, Guiying Yan, Zhiming Ma
On the Weight Spectrum of Pre-Transformed Polar Codes. ISIT (2021)
Yimeng Chen, Yanyan Lan, Ruibin Xiong, Liang Pang, Zhiming Ma, Xueqi Cheng
Evaluating Natural Language Generation via Unbalanced Optimal Transport. IJCAI (2020)
Linfang Hou, Liang Pang, Xin Hong, Yanyan Lan, Zhiming Ma, Dawei Yin
Robust Reinforcement Learning with Wasserstein Constraint. CoRR (2020)
Juanping Zhu, Qi Meng, Wei Chen, Yue Wang, Zhiming Ma
Constructing Basis Path Set by Eliminating Path Dependency. CoRR (2020)
Juanping Zhu, Qi Meng, Wei Chen, Zhiming Ma
Interpreting Basis Path Set in Neural Networks. CoRR (2019)
Li He, Shuxin Zheng, Wei Chen, Zhiming Ma, Tie-Yan Liu
OptQuant: Distributed training of neural networks with optimized quantization mechanisms. Neurocomputing 340 (2019)
Zhiming Ma, Chun Yuan, Yangyang Cheng, Xinrui Zhu
Image-to-Tree: A Tree-Structured Decoder for Image Captioning. ICME (2019)
Yue Wang, Qi Meng, Wei Chen, Yuting Liu, Zhiming Ma, Tie-Yan Liu
Target Transfer Q-Learning and Its Convergence Analysis. CoRR (2018)
Pengfei Zhu, Longyin Wen, Dawei Du, Xiao Bian, Haibin Ling, Qinghua Hu, Haotian Wu, Qinqin Nie, Hao Cheng, Chenfeng Liu, Xiaoyu Liu, Wenya Ma, Lianjie Wang, Arne Schumann, Dan Wang, Diego Ortego, Elena Luna, Emmanouil Michail, Erik Bochinski, Feng Ni, Filiz Bunyak, Gege Zhang, Guna Seetharaman, Guorong Li, Hongyang Yu, Ioannis Kompatsiaris, Jianfei Zhao, Jie Gao, José M. Martínez, Juan C. SanMiguel, Kannappan Palaniappan, Konstantinos Avgerinakis, Lars Wilko Sommer, Martin Lauer, Mengkun Liu, Noor M. Al-Shakarji, Oliver Acatay, Panagiotis Giannakeris, Qijie Zhao, Qinghua Ma, Qingming Huang, Stefanos Vrochidis, Thomas Sikora, Tobias Senst, Wei Song, Wei Tian, Wenhua Zhang, Yanyun Zhao, Yidong Bai, Yinan Wu, Yongtao Wang, Yuxuan Li, Zhaoliang Pi, Zhiming Ma
VisDrone-VDT2018: The Vision Meets Drone Video Detection and Tracking Challenge Results. ECCV Workshops (5) (2018)
Li He, Qi Meng, Wei Chen, Zhiming Ma, Tie-Yan Liu
Differential Equations for Modeling Asynchronous Algorithms. CoRR (2018)
Li He, Qi Meng, Wei Chen, Zhiming Ma, Tie-Yan Liu
Differential Equations for Modeling Asynchronous Algorithms. IJCAI (2018)
Qi Meng, Wei Chen, Yue Wang, Zhiming Ma, Tie-Yan Liu
Convergence Analysis of Distributed Stochastic Gradient Descent with Shuffling. CoRR (2017)
Shuxin Zheng, Qi Meng, Taifeng Wang, Wei Chen, Nenghai Yu, Zhiming Ma, Tie-Yan Liu
Asynchronous Stochastic Gradient Descent with Delay Compensation. ICML (2017)
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)
Qi Meng, Yue Wang, Wei Chen, Taifeng Wang, Zhiming Ma, Tie-Yan Liu
Generalization Error Bounds for Optimization Algorithms via Stability. AAAI (2017)
Qi Meng, Wei Chen, Jingcheng Yu, Taifeng Wang, Zhiming Ma, Tie-Yan Liu
Asynchronous Stochastic Proximal Optimization Algorithms with Variance Reduction. AAAI (2017)
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 (2016)
Qi Meng, Yue Wang, Wei Chen, Taifeng Wang, Zhiming Ma, Tie-Yan Liu
Generalization Error Bounds for Optimization Algorithms via Stability. CoRR (2016)
Qi Meng, Wei Chen, Jingcheng Yu, Taifeng Wang, Zhiming Ma, Tie-Yan Liu
Asynchronous Accelerated Stochastic Gradient Descent. IJCAI (2016)
Qi Meng, Wei Chen, Jingcheng Yu, Taifeng Wang, Zhiming Ma, Tie-Yan Liu
Asynchronous Stochastic Proximal Optimization Algorithms with Variance Reduction. CoRR (2016)
Xumin Ni, Wei Guo, Kai Yuan, Xiong Yang, Zhiming Ma, Shuhua Xu, Shihua Zhang
A Probabilistic Method for Estimating the Sharing of Identity by Descent for Populations with Migration. IEEE ACM Trans. Comput. Biol. Bioinform. 13 (2) (2016)
Qi Meng, Guolin Ke, Taifeng Wang, Wei Chen, Qiwei Ye, Zhiming Ma, Tie-Yan Liu
A Communication-Efficient Parallel Algorithm for Decision Tree. CoRR (2016)
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)
Haifang Li, Fei Tian, Wei Chen, Tao Qin, Zhiming Ma, Tie-Yan Liu
Generalization Analysis for Game-Theoretic Machine Learning. AAAI (2015)
Ying Wang, Ying Zhou, Linfeng Li, Xian Chen, Yuting Liu, Zhiming Ma, Shuhua Xu
A New Method for Modeling Coalescent Processes with Recombination. BMC Bioinform. 15 (2014)
Tianqi Zhu, Yucheng Hu, Zhiming Ma, De-Xing Zhang, Tiejun Li, Ziheng Yang
Efficient simulation under a population genetics model of carcinogenesis. Bioinform. 27 (6) (2011)
Bin Gao, Tie-Yan Liu, Yuting Liu, Taifeng Wang, Zhiming Ma, Hang Li
Page importance computation based on Markov processes. Inf. Retr. 14 (5) (2011)
Wei Chen, Tie-Yan Liu, Zhiming Ma
Two-Layer Generalization Analysis for Ranking Using Rademacher Average. NIPS (2010)
Yuting Liu, Zhiming Ma
Comparison of Two Algorithms for Computing Page Importance. AAIM (2010)
Yuting Liu, Tie-Yan Liu, Bin Gao, Zhiming Ma, Hang Li
A framework to compute page importance based on user behaviors. Inf. Retr. 13 (1) (2010)
Yanyan Lan, Tie-Yan Liu, Zhiming Ma, Hang Li
Generalization analysis of listwise learning-to-rank algorithms. ICML (2009)
Bin Gao, Tie-Yan Liu, Zhiming Ma, Taifeng Wang, Hang Li
A general markov framework for page importance computation. CIKM (2009)
Wei Chen, Tie-Yan Liu, Yanyan Lan, Zhiming Ma, Hang Li
Ranking Measures and Loss Functions in Learning to Rank. NIPS (2009)
Yanyan Lan, Tie-Yan Liu, Tao Qin, Zhiming Ma, Hang Li
Query-level stability and generalization in learning to rank. ICML (2008)
Yuting Liu, Bin Gao, Tie-Yan Liu, Ying Zhang, Zhiming Ma, Shuyuan He, Hang Li
BrowseRank: letting web users vote for page importance. SIGIR (2008)
Yuting Liu, Tie-Yan Liu, Tao Qin, Zhiming Ma, Hang Li
Supervised rank aggregation. WWW (2007)
Ying Bao, Guang Feng, Tie-Yan Liu, Zhiming Ma, Ying Wang
Ranking Websites: A Probabilistic View. Internet Math. 3 (3) (2007)
Guang Feng, Tie-Yan Liu, Ying Wang, Ying Bao, Zhiming Ma, Xu-Dong Zhang, Wei-Ying Ma
AggregateRank: bringing order to web sites. SIGIR (2006)
Guolie Lan, Zhiming Ma, Su-Yong Sun
Coverage Problem of Wireless Sensor Networks. CJCDGCGT (2005)