Xiangfeng Wang

144 papers A* 13A 8B 12C 1Misc 5Journal 90Unranked 15

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AscendOptimizer: Episodic Agent for Ascend NPU Operator Optimization. CoRR Jiehao Wu, Zixiao Huang, Wenhao Li, Chuyun Shen, Junjie Sheng, Xiangfeng Wang
2026	J	`jnl`	It Takes Two to Tango: A Holistic Simulator for Joint Order Scheduling and Multi-Agent Path Finding in Robotic Warehouses. CoRR Haozheng Xu, Wenhao Li, Zifan Wei, Bo Jin, Hongxing Bai, Ben Yang, Xiangfeng Wang
2026	J	`jnl`	Learning Roles With Emergent Social Value Orientations. IEEE Trans. Pattern Anal. Mach. Intell. Wenhao Li, Xiangfeng Wang, Bo Jin, Jingyi Lu, Hongyuan Zha
2026	J	`jnl`	See, Plan, Snap: Evaluating Multimodal GUI Agents in Scratch. CoRR Xingyi Zhang, Yulei Ye, Kaifeng Huang, Wenhao Li, Xiangfeng Wang
2025	J	`jnl`	A Survey of Automatic Prompt Engineering: An Optimization Perspective. CoRR Wenwu Li, Xiangfeng Wang, Wenhao Li, Bo Jin
2025	J	`jnl`	Agentic Episodic Control. CoRR Xidong Yang, Wenhao Li, Junjie Sheng, Chuyun Shen, Yun Hua, Xiangfeng Wang
2025	J	`jnl`	Differentiable Adaptive Kalman Filtering via Optimal Transport. CoRR Yangguang He, Wenhao Li, Minzhe Li, Juan Zhang, Xiangfeng Wang, Bo Jin
2025	A	`conf`	Dynamic Conservative Degree Allocation for Offline Multi-Agent Reinforcement Learning. AAMAS Haosheng Chen, Yun Hua, Junjie Sheng, Wenhao Li, Bo Jin, Xiangfeng Wang
2025	J	`jnl`	Epitome: Pioneering an Experimental Platform for AI-Social Science Integration. CoRR Jingjing Qu, Kejia Hu, Jun Zhu, Wenhao Li, Teng Wang, Zhiyun Chen, Yulei Ye, Chaochao Lu, Aimin Zhou, Xiangfeng Wang, James Evans
2025	J	`jnl`	Generative Multi-Agent Collaboration in Embodied AI: A Systematic Review. CoRR Di Wu, Xian Wei, Guang Chen, Hao Shen, Xiangfeng Wang, Wenhao Li, Bo Jin
2025	J	`jnl`	GraphThought: Graph Combinatorial Optimization with Thought Generation. CoRR Zixiao Huang, Lifeng Guo, Junjie Sheng, Haosheng Chen, Wenhao Li, Bo Jin, Changhong Lu, Xiangfeng Wang
2025	J	`jnl`	Learning Virtual Machine Scheduling in Cloud Computing through Language Agents. CoRR Jiehao Wu, Ziwei Wang, Junjie Sheng, Wenhao Li, Xiangfeng Wang, Jun Luo
2025	A	`conf`	Multi-Agent Credit Assignment with Pretrained Language Models. AISTATS Wenhao Li, Dan Qiao, Baoxiang Wang, Xiangfeng Wang, Wei Yin, Hao Shen, Bo Jin, Hongyuan Zha
2025	A	`conf`	Negotiated Reasoning: On Provably Addressing Relative Over-Generalization. AAMAS Junjie Sheng, Wenhao Li, Bo Jin, Hongyuan Zha, Jun Wang, Xiangfeng Wang
2025	J	`jnl`	Optimization Problem Solving Can Transition to Evolutionary Agentic Workflows. CoRR Wenhao Li, Bo Jin, Mingyi Hong, Changhong Lu, Xiangfeng Wang
2025	J	`jnl`	Scalable Reinforcement Learning for Virtual Machine Scheduling. CoRR Junjie Sheng, Jiehao Wu, Haochuan Cui, Yiqiu Hu, Wenli Zhou, Lei Zhu, Qian Peng, Wenhao Li, Xiangfeng Wang
2025	J	`jnl`	Shapley-Coop: Credit Assignment for Emergent Cooperation in Self-Interested LLM Agents. CoRR Yun Hua, Haosheng Chen, Shiqin Wang, Wenhao Li, Xiangfeng Wang, Jun Luo
2025	A*	`conf`	SkyRover: A Modular Simulator for Cross-Domain Pathfinding. IJCAI Wenhui Ma, Wenhao Li, Bo Jin, Changhong Lu, Xiangfeng Wang
2025	J	`jnl`	SkyRover: A Modular Simulator for Cross-Domain Pathfinding. CoRR Wenhui Ma, Wenhao Li, Bo Jin, Changhong Lu, Xiangfeng Wang
2025	—	`conf`	SolSearch: An LLM-Driven Framework for Efficient SAT-Solving Code Generation. NIER@ICSE Junjie Sheng, Yanqiu Lin, Jiehao Wu, Yanhong Huang, Jianqi Shi, Min Zhang, Xiangfeng Wang
2025	J	`jnl`	SolSearch: An LLM-Driven Framework for Efficient SAT-Solving Code Generation. CoRR Junjie Sheng, Yanqiu Lin, Jiehao Wu, Yanhong Huang, Jianqi Shi, Min Zhang, Xiangfeng Wang
2025	J	`jnl`	TextAtari: 100K Frames Game Playing with Language Agents. CoRR Wenhao Li, Wenwu Li, Chuyun Shen, Junjie Sheng, Zixiao Huang, Di Wu, Yun Hua, Wei Yin, Xiangfeng Wang, Hongyuan Zha, Bo Jin
2025	J	`jnl`	TrackDiffuser: Nearly Model-Free Bayesian Filtering with Diffusion Model. CoRR Yangguang He, Wenhao Li, Minzhe Li, Juan Zhang, Xiangfeng Wang, Bo Jin
2025	J	`jnl`	Verbalized Bayesian Persuasion. CoRR Wenhao Li, Yue Lin, Xiangfeng Wang, Bo Jin, Hongyuan Zha, Baoxiang Wang
2025	J	`jnl`	Where Paths Collide: A Comprehensive Survey of Classic and Learning-Based Multi-Agent Pathfinding. CoRR Shiyue Wang, Haozheng Xu, Yuhan Zhang, Jingran Lin, Changhong Lu, Xiangfeng Wang, Wenhao Li
2024	J	`jnl`	Complementary Information Mutual Learning for Multimodality Medical Image Segmentation. CoRR Chuyun Shen, Wenhao Li, Haoqing Chen, Xiaoling Wang, Fengping Zhu, Yuxin Li, Xiangfeng Wang, Bo Jin
2024	J	`jnl`	Complementary information mutual learning for multimodality medical image segmentation. Neural Networks Chuyun Shen, Wenhao Li, Haoqing Chen, Xiaoling Wang, Fengping Zhu, Yuxin Li, Xiangfeng Wang, Bo Jin
2024	B	`conf`	FPPL: An Efficient and Non-IID Robust Federated Continual Learning Framework. IEEE Big Data Yuchen He, Chuyun Shen, Xiangfeng Wang, Bo Jin
2024	J	`jnl`	FPPL: An Efficient and Non-IID Robust Federated Continual Learning Framework. CoRR Yuchen He, Chuyun Shen, Xiangfeng Wang, Bo Jin
2024	J	`jnl`	Interactive 3D Medical Image Segmentation with SAM 2. CoRR Chuyun Shen, Wenhao Li, Yuhang Shi, Xiangfeng Wang
2024	J	`jnl`	Joint Design of Long-Term Base Station Activation and Short-Term Beamforming for Green Wireless Networks. IEEE Trans. Wirel. Commun. Jingran Lin, Mengyuan Ma, Xiangfeng Wang
2024	A*	`conf`	Long-tailed Diffusion Models with Oriented Calibration. ICLR Tianjiao Zhang, Huangjie Zheng, Jiangchao Yao, Xiangfeng Wang, Mingyuan Zhou, Ya Zhang, Yanfeng Wang
2024	B	`conf`	Masked Autoencoders are Parameter-Efficient Federated Continual Learners. IEEE Big Data Yuchen He, Xiangfeng Wang
2024	J	`jnl`	Masked Autoencoders are Parameter-Efficient Federated Continual Learners. CoRR Yuchen He, Xiangfeng Wang
2024	—	`conf`	Optimizing Efficiency and Effectiveness in Sequential Prompt Strategy for SAM Using Reinforcement Learning. MICCAI (8) Yifei Huang, Chuyun Shen, Wenhao Li, Xiangfeng Wang, Bo Jin, Haibin Cai
2024	B	`conf`	Semi-supervised Learning to Defer Algorithm for Lung Disease Diagnosis. IEEE Big Data Haoqing Chen, Bo Jin, Xiangfeng Wang
2023	J	`jnl`	An alternating structure-adapted Bregman proximal gradient descent algorithm for constrained nonconvex nonsmooth optimization problems and its inertial variant. J. Glob. Optim. Xue Gao, Xingju Cai, Xiangfeng Wang, Deren Han
2023	J	`jnl`	Boundary-aware Supervoxel-level Iteratively Refined Interactive 3D Image Segmentation with Multi-agent Reinforcement Learning. CoRR Chaofan Ma, Qisen Xu, Xiangfeng Wang, Bo Jin, Xiaoyun Zhang, Yanfeng Wang, Ya Zhang
2023	J	`jnl`	Can language agents be alternatives to PPO? A Preliminary Empirical Study On OpenAI Gym. CoRR Junjie Sheng, Zixiao Huang, Chuyun Shen, Wenhao Li, Yun Hua, Bo Jin, Hongyuan Zha, Xiangfeng Wang
2023	J	`jnl`	CoLa-Diff: Conditional Latent Diffusion Model for Multi-Modal MRI Synthesis. CoRR Lan Jiang, Ye Mao, Xi Chen, Xiangfeng Wang, Chao Li
2023	—	`conf`	CoLa-Diff: Conditional Latent Diffusion Model for Multi-modal MRI Synthesis. MICCAI (10) Lan Jiang, Ye Mao, Xiangfeng Wang, Xi Chen, Chao Li
2023	J	`jnl`	Decentralized Entropic Optimal Transport for Privacy-preserving Distributed Distribution Comparison. CoRR Xiangfeng Wang, Hongteng Xu, Moyi Yang
2023	J	`jnl`	F2A2: Flexible Fully-decentralized Approximate Actor-critic for Cooperative Multi-agent Reinforcement Learning. J. Mach. Learn. Res. Wenhao Li, Bo Jin, Xiangfeng Wang, Junchi Yan, Hongyuan Zha
2023	J	`jnl`	Group Sparse Space Information Network With Joint Virtual Network Function Deployment and Maximum Flow Routing Strategy. IEEE Trans. Wirel. Commun. Huiting Yang, Wei Liu, Xiangfeng Wang, Jiandong Li
2023	A*	`conf`	Hierarchical Diffusion for Offline Decision Making. ICML Wenhao Li, Xiangfeng Wang, Bo Jin, Hongyuan Zha
2023	J	`jnl`	Interactive medical image segmentation with self-adaptive confidence calibration. Frontiers Inf. Technol. Electron. Eng. Chuyun Shen, Wenhao Li, Qisen Xu, Bin Hu, Bo Jin, Haibin Cai, Fengping Zhu, Yuxin Li, Xiangfeng Wang
2023	A*	`conf`	Learning Cooperative Oversubscription for Cloud by Chance-Constrained Multi-Agent Reinforcement Learning. WWW Junjie Sheng, Lu Wang, Fangkai Yang, Bo Qiao, Hang Dong, Xiangfeng Wang, Bo Jin, Jun Wang, Si Qin, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang
2023	A	`conf`	Learning Optimal "Pigovian Tax" in Sequential Social Dilemmas. AAMAS Yun Hua, Shang Gao, Wenhao Li, Bo Jin, Xiangfeng Wang, Hongyuan Zha
2023	J	`jnl`	Learning Optimal "Pigovian Tax" in Sequential Social Dilemmas. CoRR Yun Hua, Shang Gao, Wenhao Li, Bo Jin, Xiangfeng Wang, Hongyuan Zha
2023	J	`jnl`	Learning Roles with Emergent Social Value Orientations. CoRR Wenhao Li, Xiangfeng Wang, Bo Jin, Jingyi Lu, Hongyuan Zha
2023	A	`conf`	Learning Structured Communication for Multi-Agent Reinforcement Learning. AAMAS Junjie Sheng, Xiangfeng Wang, Bo Jin, Wenhao Li, Jun Wang, Junchi Yan, Tsung-Hui Chang, Hongyuan Zha
2023	J	`jnl`	Negotiated Reasoning: On Provably Addressing Relative Over-Generalization. CoRR Junjie Sheng, Wenhao Li, Bo Jin, Hongyuan Zha, Jun Wang, Xiangfeng Wang
2023	J	`jnl`	Semantically Aligned Task Decomposition in Multi-Agent Reinforcement Learning. CoRR Wenhao Li, Dan Qiao, Baoxiang Wang, Xiangfeng Wang, Bo Jin, Hongyuan Zha
2023	—	`conf`	Temporally-Extended Prompts Optimization for SAM in Interactive Medical Image Segmentation. BIBM Chuyun Shen, Wenhao Li, Ya Zhang, Yanfeng Wang, Xiangfeng Wang
2023	J	`jnl`	Temporally-Extended Prompts Optimization for SAM in Interactive Medical Image Segmentation. CoRR Chuyun Shen, Wenhao Li, Ya Zhang, Xiangfeng Wang
2022	—	`conf`	CLD-Net: Complement Local Detail For Medical Small-Object Segmentation. BIBM Rui Chen, Xiangfeng Wang, Bo Jin, Jiaqi Tu, Fengping Zhu, Yuxin Li
2022	A*	`conf`	Dealing with Non-Stationarity in MARL via Trust-Region Decomposition. ICLR Wenhao Li, Xiangfeng Wang, Bo Jin, Junjie Sheng, Hongyuan Zha
2022	J	`jnl`	Learning Cooperative Oversubscription for Cloud by Chance-Constrained Multi-Agent Reinforcement Learning. CoRR Junjie Sheng, Lu Wang, Fangkai Yang, Bo Qiao, Hang Dong, Xiangfeng Wang, Bo Jin, Jun Wang, Si Qin, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang
2022	J	`jnl`	Learning structured communication for multi-agent reinforcement learning. Auton. Agents Multi Agent Syst. Junjie Sheng, Xiangfeng Wang, Bo Jin, Junchi Yan, Wenhao Li, Tsung-Hui Chang, Jun Wang, Hongyuan Zha
2022	J	`jnl`	Learning to schedule multi-NUMA virtual machines via reinforcement learning. Pattern Recognit. Junjie Sheng, Yiqiu Hu, Wenli Zhou, Lei Zhu, Bo Jin, Jun Wang, Xiangfeng Wang
2022	J	`jnl`	Mitigating disparate impact on model accuracy in differentially private learning. Inf. Sci. Wenyan Liu, Xiangfeng Wang, Haikun Zheng, Bo Jin, Xiaoling Wang, Hongyuan Zha
2022	A*	`conf`	Multi-Agent Path Finding with Prioritized Communication Learning. ICRA Wenhao Li, Hongjun Chen, Bo Jin, Wenzhe Tan, Hongyuan Zha, Xiangfeng Wang
2022	J	`jnl`	Multi-Agent Path Finding with Prioritized Communication Learning. CoRR Wenhao Li, Hongjun Chen, Bo Jin, Wenzhe Tan, Hongyuan Zha, Xiangfeng Wang
2022	B	`conf`	Obtaining Dyadic Fairness by Optimal Transport. IEEE Big Data Moyi Yang, Junjie Sheng, Wenyan Liu, Bo Jin, Xiaoling Wang, Xiangfeng Wang
2022	J	`jnl`	Obtaining Dyadic Fairness by Optimal Transport. CoRR Moyi Yang, Junjie Sheng, Xiangfeng Wang, Wenyan Liu, Bo Jin, Jun Wang, Hongyuan Zha
2022	B	`conf`	ReAssigner: A Plug-and-Play Virtual Machine Scheduling Intensifier for Heterogeneous Requests. IEEE Big Data Haochuan Cui, Junjie Sheng, Bo Jin, Yiqiu Hu, Li Su, Lei Zhu, Wenli Zhou, Xiangfeng Wang
2022	J	`jnl`	ReAssigner: A Plug-and-Play Virtual Machine Scheduling Intensifier for Heterogeneous Requests. CoRR Haochuan Cui, Junjie Sheng, Bo Jin, Yiqiu Hu, Li Su, Lei Zhu, Wenli Zhou, Xiangfeng Wang
2022	J	`jnl`	Structured Cooperative Reinforcement Learning With Time-Varying Composite Action Space. IEEE Trans. Pattern Anal. Mach. Intell. Wenhao Li, Xiangfeng Wang, Bo Jin, Dijun Luo, Hongyuan Zha
2022	A*	`conf`	VMAgent: A Practical Virtual Machine Scheduling Platform. IJCAI Junjie Sheng, Shengliang Cai, Haochuan Cui, Wenhao Li, Yun Hua, Bo Jin, Wenli Zhou, Yiqiu Hu, Lei Zhu, Qian Peng, Hongyuan Zha, Xiangfeng Wang
2022	—	`conf`	Weighted Mean-Field Multi-Agent Reinforcement Learning via Reward Attribution Decomposition. DASFAA (Workshops) Ting Wu, Wenhao Li, Bo Jin, Wei Zhang, Xiangfeng Wang
2021	J	`jnl`	Boundary-Aware Supervoxel-Level Iteratively Refined Interactive 3D Image Segmentation With Multi-Agent Reinforcement Learning. IEEE Trans. Medical Imaging Chaofan Ma, Qisen Xu, Xiangfeng Wang, Bo Jin, Xiaoyun Zhang, Yanfeng Wang, Ya Zhang
2021	J	`jnl`	Dealing with Non-Stationarity in Multi-Agent Reinforcement Learning via Trust Region Decomposition. CoRR Wenhao Li, Xiangfeng Wang, Bo Jin, Junjie Sheng, Hongyuan Zha
2021	J	`jnl`	Distributed and Parallel ADMM for Structured Nonconvex Optimization Problem. IEEE Trans. Cybern. Xiangfeng Wang, Junchi Yan, Bo Jin, Wenhao Li
2021	J	`jnl`	FDA$^3$: Federated Defense Against Adversarial Attacks for Cloud-Based IIoT Applications. IEEE Trans. Ind. Informatics Yunfei Song, Tian Liu, Tongquan Wei, Xiangfeng Wang, Zhe Tao, Mingsong Chen
2021	A*	`conf`	HMRL: Hyper-Meta Learning for Sparse Reward Reinforcement Learning Problem. KDD Yun Hua, Xiangfeng Wang, Bo Jin, Wenhao Li, Junchi Yan, Xiaofeng He, Hongyuan Zha
2021	J	`jnl`	Interactive Medical Image Segmentation with Self-Adaptive Confidence Calibration. CoRR Wenhao Li, Qisen Xu, Chuyun Shen, Bin Hu, Fengping Zhu, Yuxin Li, Bo Jin, Xiangfeng Wang
2021	B	`conf`	Semi-supervised Medical Image Segmentation with Confidence Calibration. IJCNN Qisen Xu, Qian Wu, Yiqiu Hu, Bo Jin, Bin Hu, Fengping Zhu, Yuxin Li, Xiangfeng Wang
2021	A	`conf`	Structured Diversification Emergence via Reinforced Organization Control and Hierachical Consensus Learning. AAMAS Wenhao Li, Xiangfeng Wang, Bo Jin, Junjie Sheng, Yun Hua, Hongyuan Zha
2021	J	`jnl`	Structured Diversification Emergence via Reinforced Organization Control and Hierarchical Consensus Learning. CoRR Wenhao Li, Xiangfeng Wang, Bo Jin, Junjie Sheng, Yun Hua, Hongyuan Zha
2021	J	`jnl`	VMAgent: Scheduling Simulator for Reinforcement Learning. CoRR Junjie Sheng, Shengliang Cai, Haochuan Cui, Wenhao Li, Yun Hua, Bo Jin, Wenli Zhou, Yiqiu Hu, Lei Zhu, Qian Peng, Hongyuan Zha, Xiangfeng Wang
2020	J	`jnl`	A Block Successive Upper-Bound Minimization Method of Multipliers for Linearly Constrained Convex Optimization. Math. Oper. Res. Mingyi Hong, Tsung-Hui Chang, Xiangfeng Wang, Meisam Razaviyayn, Shiqian Ma, Zhi-Quan Luo
2020	—	`conf`	EdgeAugment: Data Augmentation by Fusing and Filling Edge Maps. ICANN (1) Bangfeng Xia, Yueling Zhang, Weiting Chen, Xiangfeng Wang, Jiangtao Wang
2020	J	`jnl`	F2A2: Flexible Fully-decentralized Approximate Actor-critic for Cooperative Multi-agent Reinforcement Learning. CoRR Wenhao Li, Bo Jin, Xiangfeng Wang, Junchi Yan, Hongyuan Zha
2020	J	`jnl`	FDA3 : Federated Defense Against Adversarial Attacks for Cloud-Based IIoT Applications. CoRR Yunfei Song, Tian Liu, Tongquan Wei, Xiangfeng Wang, Zhe Tao, Mingsong Chen
2020	B	`conf`	Heterogeneous Graph-based Knowledge Transfer for Generalized Zero-shot Learning. ICPR Junjie Wang, Xiangfeng Wang, Bo Jin, Junchi Yan, Wenjie Zhang, Hongyuan Zha
2020	J	`jnl`	Hyper-Meta Reinforcement Learning with Sparse Reward. CoRR Yun Hua, Xiangfeng Wang, Bo Jin, Wenhao Li, Junchi Yan, Xiaofeng He, Hongyuan Zha
2020	A*	`conf`	Iteratively-Refined Interactive 3D Medical Image Segmentation With Multi-Agent Reinforcement Learning. CVPR Xuan Liao, Wenhao Li, Qisen Xu, Xiangfeng Wang, Bo Jin, Xiaoyun Zhang, Yanfeng Wang, Ya Zhang
2020	J	`jnl`	Learning Structured Communication for Multi-agent Reinforcement Learning. CoRR Junjie Sheng, Xiangfeng Wang, Bo Jin, Junchi Yan, Wenhao Li, Tsung-Hui Chang, Jun Wang, Hongyuan Zha
2020	—	`conf`	Low Rank Communication for Federated Learning. DASFAA (Workshops) Huachi Zhou, Junhong Cheng, Xiangfeng Wang, Bo Jin
2020	C	`conf`	SecureRec: Privacy-Preserving Recommendation with Distributed Matrix Factorization. ADMA Wenyan Liu, Junhong Cheng, Xiangfeng Wang, Xiaoling Wang
2020	J	`jnl`	The distance between convex sets with Minkowski sum structure: application to collision detection. Comput. Optim. Appl. Xiangfeng Wang, Junping Zhang, Wenxing Zhang
2020	B	`conf`	VSB2-Net: Visual-Semantic Bi-Branch Network for Zero-Shot Hashing. ICPR Xin Li, Xiangfeng Wang, Bo Jin, Wenjie Zhang, Jun Wang, Hongyuan Zha
2020	B	`conf`	Visual-to-Semantic Hashing for Zero Shot Learning. IJCNN Xin Li, Xiaoyue Wen, Bo Jin, Xiangfeng Wang, Junjie Wang, Jinghui Cai
2019	A	`conf`	A Fast Proximal Point Method for Computing Exact Wasserstein Distance. UAI Yujia Xie, Xiangfeng Wang, Ruijia Wang, Hongyuan Zha
2019	—	`conf`	Accelerate Black-Box Attack with White-Box Prior Knowledge. IScIDE (2) Jinghui Cai, Boyang Wang, Xiangfeng Wang, Bo Jin
2019	J	`jnl`	Dynamic Structure Embedded Online Multiple-Output Regression for Streaming Data. IEEE Trans. Pattern Anal. Mach. Intell. Changsheng Li, Fan Wei, Weishan Dong, Xiangfeng Wang, Qingshan Liu, Xin Zhang
2019	J	`jnl`	Heterogeneous Graph-based Knowledge Transfer for Generalized Zero-shot Learning. CoRR Junjie Wang, Xiangfeng Wang, Bo Jin, Junchi Yan, Wenjie Zhang, Hongyuan Zha
2019	J	`jnl`	Iteratively-Refined Interactive 3D Medical Image Segmentation with Multi-Agent Reinforcement Learning. CoRR Xuan Liao, Wenhao Li, Qisen Xu, Xiangfeng Wang, Bo Jin, Xiaoyun Zhang, Ya Zhang, Yanfeng Wang
2019	J	`jnl`	Joint Active Learning with Feature Selection via CUR Matrix Decomposition. IEEE Trans. Pattern Anal. Mach. Intell. Changsheng Li, Xiangfeng Wang, Weishan Dong, Junchi Yan, Qingshan Liu, Hongyuan Zha
2019	B	`conf`	Multi-View Metric Learning for Multi-Label Image Classification. ICIP Mengying Zhang, Changsheng Li, Xiangfeng Wang
2019	—	`conf`	SparseMAAC: Sparse Attention for Multi-agent Reinforcement Learning. DASFAA Workshops Wenhao Li, Bo Jin, Xiangfeng Wang
2018	J	`jnl`	A Fast Proximal Point Method for Wasserstein Distance. CoRR Yujia Xie, Xiangfeng Wang, Ruijia Wang, Hongyuan Zha
2018	—	`conf`	AdaptMX: Flexible Join-Matrix Streaming System for Distributed Theta-Joins. DASFAA (2) Xiaotong Wang, Cheng Jiang, Junhua Fang, Xiangfeng Wang, Rong Zhang
2018	B	`conf`	Deep Extreme Multi-label Learning. ICMR Wenjie Zhang, Junchi Yan, Xiangfeng Wang, Hongyuan Zha
2018	J	`jnl`	Efficient InSAR Phase Noise Reduction via Compressive Sensing in the Complex Domain. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Xiaomei Luo, Xiangfeng Wang, Yuhao Wang, Shengqi Zhu
2018	J	`jnl`	Implementing the Alternating Direction Method of Multipliers for Big Datasets: A Case Study of Least Absolute Shrinkage and Selection Operator. SIAM J. Sci. Comput. Hangrui Yue, Qingzhi Yang, Xiangfeng Wang, Xiaoming Yuan
2018	J	`jnl`	On the flexibility of block coordinate descent for large-scale optimization. Neurocomputing Xiangfeng Wang, Wenjie Zhang, Junchi Yan, Xiaoming Yuan, Hongyuan Zha
2018	J	`jnl`	Wireless Information and Energy Transfer in MIMO Communication With Interference Channels. IEEE Access Xiaomei Luo, Hang Li, Xiangfeng Wang
2017	—	`conf`	A Divide-and-Conquer Approach for Large-Scale Multi-label Learning. BigMM Wenjie Zhang, Xiangfeng Wang, Junchi Yan, Hongyuan Zha
2017	J	`jnl`	Deep Extreme Multi-label Learning. CoRR Wenjie Zhang, Liwei Wang, Junchi Yan, Xiangfeng Wang, Hongyuan Zha
2017	J	`jnl`	Flexible Fusion Structure-Based Performance Optimization Learning for Multisensor Target Tracking. Sensors Quanbo Ge, ZhongLiang Wei, Tianfa Cheng, Shaodong Chen, Xiangfeng Wang
2017	J	`jnl`	Iteration complexity analysis of block coordinate descent methods. Math. Program. Mingyi Hong, Xiangfeng Wang, Meisam Razaviyayn, Zhi-Quan Luo
2017	A*	`conf`	On Predictive Patent Valuation: Forecasting Patent Citations and Their Types. AAAI Xin Liu, Junchi Yan, Shuai Xiao, Xiangfeng Wang, Hongyuan Zha, Stephen M. Chu
2016	J	`jnl`	Asynchronous Distributed ADMM for Large-Scale Optimization - Part I: Algorithm and Convergence Analysis. IEEE Trans. Signal Process. Tsung-Hui Chang, Mingyi Hong, Wei-Cheng Liao, Xiangfeng Wang
2016	J	`jnl`	Asynchronous Distributed ADMM for Large-Scale Optimization - Part II: Linear Convergence Analysis and Numerical Performance. IEEE Trans. Signal Process. Tsung-Hui Chang, Wei-Cheng Liao, Mingyi Hong, Xiangfeng Wang
2016	Misc	`conf`	Asynchronous distributed alternating direction method of multipliers: Algorithm and convergence analysis. ICASSP Tsung-Hui Chang, Mingyi Hong, Wei-Cheng Liao, Xiangfeng Wang
2016	J	`jnl`	Efficient noise reduction for interferometric phase image via non-local non-convex low-rank regularisation. IET Signal Process. Xiaomei Luo, Zhiyong Suo, Qiegen Liu, Xiangfeng Wang
2016	A*	`conf`	Modeling Contagious Merger and Acquisition via Point Processes with a Profile Regression Prior. IJCAI Junchi Yan, Shuai Xiao, Changsheng Li, Bo Jin, Xiangfeng Wang, Bin Ke, Xiaokang Yang, Hongyuan Zha
2016	Misc	`conf`	Nonnegative matrix factorization using ADMM: Algorithm and convergence analysis. ICASSP Davood Hajinezhad, Tsung-Hui Chang, Xiangfeng Wang, Qingjiang Shi, Mingyi Hong
2016	A*	`conf`	On Modeling and Predicting Individual Paper Citation Count over Time. IJCAI Shuai Xiao, Junchi Yan, Changsheng Li, Bo Jin, Xiangfeng Wang, Xiaokang Yang, Stephen M. Chu, Hongyuan Zha
2016	—	`conf`	Parallel Randomized Block Coordinate Descent for Neural Probabilistic Language Model with High-Dimensional Output Targets. CCPR (2) Xin Liu, Junchi Yan, Xiangfeng Wang, Hongyuan Zha
2016	A*	`conf`	Spatially Regularized Streaming Sensor Selection. AAAI Changsheng Li, Fan Wei, Weishan Dong, Xiangfeng Wang, Junchi Yan, Xiaobin Zhu, Qingshan Liu, Xin Zhang
2015	J	`jnl`	Active Sample Learning and Feature Selection: A Unified Approach. CoRR Changsheng Li, Xiangfeng Wang, Weishan Dong, Junchi Yan, Qingshan Liu, Hongyuan Zha
2015	J	`jnl`	Asynchronous Distributed ADMM for Large-Scale Optimization- Part I: Algorithm and Convergence Analysis. CoRR Tsung-Hui Chang, Mingyi Hong, Wei-Cheng Liao, Xiangfeng Wang
2015	J	`jnl`	Asynchronous Distributed ADMM for Large-Scale Optimization- Part II: Linear Convergence Analysis and Numerical Performance. CoRR Tsung-Hui Chang, Wei-Cheng Liao, Mingyi Hong, Xiangfeng Wang
2015	J	`jnl`	Efficient InSAR phase noise reduction via total variation regularization. Sci. China Inf. Sci. Xiaomei Luo, Xiangfeng Wang, Zhiyong Suo, Zhenfang Li
2015	J	`jnl`	Joint Power Splitting and Secure Beamforming Design in the Multiple Non-Regenerative Wireless-Powered Relay Networks. IEEE Commun. Lett. Mingxiong Zhao, Xiangfeng Wang, Suili Feng
2015	J	`jnl`	Joint Power Splitting and Secure Beamforming Design in the Multiple Non-regenerative Wireless-powered Relay Networks. CoRR Mingxiong Zhao, Xiangfeng Wang, Suili Feng
2015	B	`conf`	Joint Power Splitting and Secure Beamforming Design in the Wireless-Powered Untrusted Relay Networks. GLOBECOM Mingxiong Zhao, Suili Feng, Xiangfeng Wang, Meng Zhang, Yuan Liu, Hao Fu
2015	J	`jnl`	Joint Power Splitting and Secure Beamforming Design in the Wireless-powered Untrusted Relay Networks. CoRR Mingxiong Zhao, Suili Feng, Yuan Liu, Xiangfeng Wang, Meng Zhang, Hao Fu
2015	J	`jnl`	Multi-Agent Distributed Optimization via Inexact Consensus ADMM. IEEE Trans. Signal Process. Tsung-Hui Chang, Mingyi Hong, Xiangfeng Wang
2014	Misc	`conf`	A block coordinate descent method of multipliers: Convergence analysis and applications. ICASSP Mingyi Hong, Tsung-Hui Chang, Xiangfeng Wang, Meisam Razaviyayn, Shiqian Ma, Zhi-Quan Luo
2014	Misc	`conf`	Joint day-ahead power procurement and load scheduling using stochastic alternating direction method of multipliers. ICASSP Xiangfeng Wang, Mingyi Hong, Tsung-Hui Chang, Meisam Razaviyayn, Zhi-Quan Luo
2014	J	`jnl`	Multi-Agent Distributed Optimization via Inexact Consensus ADMM. CoRR Tsung-Hui Chang, Mingyi Hong, Xiangfeng Wang
2014	Misc	`conf`	Multi-agent distributed large-scale optimization by inexact consensus alternating direction method of multipliers. ICASSP Tsung-Hui Chang, Mingyi Hong, Xiangfeng Wang
2014	J	`jnl`	Outage Constrained Robust Secure Transmission for MISO Wiretap Channels. IEEE Trans. Wirel. Commun. Shuai Ma, Mingyi Hong, Enbin Song, Xiangfeng Wang, Dechun Sun
2014	—	`conf`	Secure beamforming based on sparsity in multiple amplify-and-forward MIMO relay networks. WCSP Mingxiong Zhao, Suili Feng, Yuan Liu, Xiangfeng Wang
2014	J	`jnl`	Sparse Beamforming in Multiple Multi-Antenna Amplify-and-Forward Relay Networks. IEEE Commun. Lett. Mingxiong Zhao, Xiangfeng Wang, Yuan Liu, Suili Feng
2013	A	`conf`	A single channel speech enhancement approach by combining statistical criterion and multi-frame sparse dictionary learning. INTERSPEECH Hung-Wei Tseng, Srikanth Vishnubhotla, Mingyi Hong, Xiangfeng Wang, Jinjun Xiao, Zhi-Quan Luo, Tao Zhang
2013	J	`jnl`	Outage Constrained Robust Secure Transmission for MISO Wiretap Channels. CoRR Shuai Ma, Mingyi Hong, Enbin Song, Xiangfeng Wang, Dechun Sun
2013	J	`jnl`	Solving Multiple-Block Separable Convex Minimization Problems Using Two-Block Alternating Direction Method of Multipliers. CoRR Xiangfeng Wang, Mingyi Hong, Shiqian Ma, Zhi-Quan Luo
2013	—	`conf`	VB-AQKF-STF: A novel linear state estimator for stochastic quantized measurements systems. ASCC Quanbo Ge, Chenglin Wen, Xiangfeng Wang, Xingfa Shen
2012	J	`jnl`	An Asymmetric Proximal Decomposition Method for Convex Programming with Linearly Coupling Constraints. Adv. Oper. Res. Xiaoling Fu, Xiangfeng Wang, Haiyan Wang, Ying Zhai
2012	J	`jnl`	The Linearized Alternating Direction Method of Multipliers for Dantzig Selector. SIAM J. Sci. Comput. Xiangfeng Wang, Xiaoming Yuan