Xiangfeng Wang

Orcid: 0000-0003-3064-5128

Affiliations:
  • East China Normal University, Shanghai, China


According to our database1, Xiangfeng Wang authored at least 65 papers between 2013 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
TextAtari: 100K Frames Game Playing with Language Agents.
CoRR, June, 2025

Where Paths Collide: A Comprehensive Survey of Classic and Learning-Based Multi-Agent Pathfinding.
CoRR, May, 2025

Optimization Problem Solving Can Transition to Evolutionary Agentic Workflows.
CoRR, May, 2025

Generative Multi-Agent Collaboration in Embodied AI: A Systematic Review.
CoRR, February, 2025

Verbalized Bayesian Persuasion.
CoRR, February, 2025

Negotiated Reasoning: On Provably Addressing Relative Over-Generalization.
Proceedings of the 24th International Conference on Autonomous Agents and Multiagent Systems, 2025

Multi-Agent Credit Assignment with Pretrained Language Models.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2024
Joint Design of Long-Term Base Station Activation and Short-Term Beamforming for Green Wireless Networks.
IEEE Trans. Wirel. Commun., January, 2024

Complementary information mutual learning for multimodality medical image segmentation.
Neural Networks, 2024

2023
Group Sparse Space Information Network With Joint Virtual Network Function Deployment and Maximum Flow Routing Strategy.
IEEE Trans. Wirel. Commun., August, 2023

F2A2: Flexible Fully-decentralized Approximate Actor-critic for Cooperative Multi-agent Reinforcement Learning.
J. Mach. Learn. Res., 2023

Can language agents be alternatives to PPO? A Preliminary Empirical Study On OpenAI Gym.
CoRR, 2023

Semantically Aligned Task Decomposition in Multi-Agent Reinforcement Learning.
CoRR, 2023

Learning Roles with Emergent Social Value Orientations.
CoRR, 2023

Hierarchical Diffusion for Offline Decision Making.
Proceedings of the International Conference on Machine Learning, 2023

Learning Optimal "Pigovian Tax" in Sequential Social Dilemmas.
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022
Structured Cooperative Reinforcement Learning With Time-Varying Composite Action Space.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Mitigating disparate impact on model accuracy in differentially private learning.
Inf. Sci., 2022

Obtaining Dyadic Fairness by Optimal Transport.
CoRR, 2022

Learning structured communication for multi-agent reinforcement learning.
Auton. Agents Multi Agent Syst., 2022

VMAgent: A Practical Virtual Machine Scheduling Platform.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Multi-Agent Path Finding with Prioritized Communication Learning.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Dealing with Non-Stationarity in MARL via Trust-Region Decomposition.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Obtaining Dyadic Fairness by Optimal Transport.
Proceedings of the IEEE International Conference on Big Data, 2022

2021
FDA$^3$: Federated Defense Against Adversarial Attacks for Cloud-Based IIoT Applications.
IEEE Trans. Ind. Informatics, 2021

Distributed and Parallel ADMM for Structured Nonconvex Optimization Problem.
IEEE Trans. Cybern., 2021

VMAgent: Scheduling Simulator for Reinforcement Learning.
CoRR, 2021

Dealing with Non-Stationarity in Multi-Agent Reinforcement Learning via Trust Region Decomposition.
CoRR, 2021

Structured Diversification Emergence via Reinforced Organization Control and Hierarchical Consensus Learning.
CoRR, 2021

HMRL: Hyper-Meta Learning for Sparse Reward Reinforcement Learning Problem.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Structured Diversification Emergence via Reinforced Organization Control and Hierachical Consensus Learning.
Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

2020
A Block Successive Upper-Bound Minimization Method of Multipliers for Linearly Constrained Convex Optimization.
Math. Oper. Res., 2020

FDA3 : Federated Defense Against Adversarial Attacks for Cloud-Based IIoT Applications.
CoRR, 2020

Hyper-Meta Reinforcement Learning with Sparse Reward.
CoRR, 2020

Heterogeneous Graph-based Knowledge Transfer for Generalized Zero-shot Learning.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

VSB2-Net: Visual-Semantic Bi-Branch Network for Zero-Shot Hashing.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

SecureRec: Privacy-Preserving Recommendation with Distributed Matrix Factorization.
Proceedings of the Advanced Data Mining and Applications - 16th International Conference, 2020

2019
Joint Active Learning with Feature Selection via CUR Matrix Decomposition.
IEEE Trans. Pattern Anal. Mach. Intell., 2019

Dynamic Structure Embedded Online Multiple-Output Regression for Streaming Data.
IEEE Trans. Pattern Anal. Mach. Intell., 2019

A Fast Proximal Point Method for Computing Exact Wasserstein Distance.
Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

2018
Efficient InSAR Phase Noise Reduction via Compressive Sensing in the Complex Domain.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018

Implementing the Alternating Direction Method of Multipliers for Big Datasets: A Case Study of Least Absolute Shrinkage and Selection Operator.
SIAM J. Sci. Comput., 2018

On the flexibility of block coordinate descent for large-scale optimization.
Neurocomputing, 2018

A Fast Proximal Point Method for Wasserstein Distance.
CoRR, 2018

Deep Extreme Multi-label Learning.
Proceedings of the 2018 ACM on International Conference on Multimedia Retrieval, 2018

2017
Iteration complexity analysis of block coordinate descent methods.
Math. Program., 2017

Deep Extreme Multi-label Learning.
CoRR, 2017

A Divide-and-Conquer Approach for Large-Scale Multi-label Learning.
Proceedings of the Third IEEE International Conference on Multimedia Big Data, 2017

On Predictive Patent Valuation: Forecasting Patent Citations and Their Types.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Asynchronous Distributed ADMM for Large-Scale Optimization - Part II: Linear Convergence Analysis and Numerical Performance.
IEEE Trans. Signal Process., 2016

Asynchronous Distributed ADMM for Large-Scale Optimization - Part I: Algorithm and Convergence Analysis.
IEEE Trans. Signal Process., 2016

Modeling Contagious Merger and Acquisition via Point Processes with a Profile Regression Prior.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

On Modeling and Predicting Individual Paper Citation Count over Time.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Nonnegative matrix factorization using ADMM: Algorithm and convergence analysis.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Asynchronous distributed alternating direction method of multipliers: Algorithm and convergence analysis.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Parallel Randomized Block Coordinate Descent for Neural Probabilistic Language Model with High-Dimensional Output Targets.
Proceedings of the Pattern Recognition - 7th Chinese Conference, 2016

Spatially Regularized Streaming Sensor Selection.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Multi-Agent Distributed Optimization via Inexact Consensus ADMM.
IEEE Trans. Signal Process., 2015

Active Sample Learning and Feature Selection: A Unified Approach.
CoRR, 2015

2014
Outage Constrained Robust Secure Transmission for MISO Wiretap Channels.
IEEE Trans. Wirel. Commun., 2014

Joint day-ahead power procurement and load scheduling using stochastic alternating direction method of multipliers.
Proceedings of the IEEE International Conference on Acoustics, 2014

A block coordinate descent method of multipliers: Convergence analysis and applications.
Proceedings of the IEEE International Conference on Acoustics, 2014

Multi-agent distributed large-scale optimization by inexact consensus alternating direction method of multipliers.
Proceedings of the IEEE International Conference on Acoustics, 2014

2013
Solving Multiple-Block Separable Convex Minimization Problems Using Two-Block Alternating Direction Method of Multipliers.
CoRR, 2013

A single channel speech enhancement approach by combining statistical criterion and multi-frame sparse dictionary learning.
Proceedings of the 14th Annual Conference of the International Speech Communication Association, 2013


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