Ying Wen

Orcid: 0000-0003-1247-2382

Affiliations:

Shanghai Jiao Tong University, China

According to our database¹, Ying Wen authored at least 74 papers between 2016 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

Self-Supervised MAFENN for Classifying Low-Labeled Distorted Images Over Mobile Fading Channels.

[BibT_eX]

[DOI]

IEEE Trans. Mob. Comput., August, 2024

Cross-Utterance Conditioned VAE for Speech Generation.

[BibT_eX]

[DOI]

IEEE ACM Trans. Audio Speech Lang. Process., 2024

Tackling Cooperative Incompatibility for Zero-Shot Human-AI Coordination.

[BibT_eX]

[DOI]

J. Artif. Intell. Res., 2024

RAT: Adversarial Attacks on Deep Reinforcement Agents for Targeted Behaviors.

[BibT_eX]

[DOI]

CoRR, 2024

Natural Language Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2024

Conflux-PSRO: Effectively Leveraging Collective Advantages in Policy Space Response Oracles.

[BibT_eX]

[DOI]

CoRR, 2024

OpenR: An Open Source Framework for Advanced Reasoning with Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

Computing Ex Ante Equilibrium in Heterogeneous Zero-Sum Team Games.

[BibT_eX]

[DOI]

CoRR, 2024

Mutual Theory of Mind in Human-AI Collaboration: An Empirical Study with LLM-driven AI Agents in a Real-time Shared Workspace Task.

[BibT_eX]

[DOI]

CoRR, 2024

HOLA-Drone: Hypergraphic Open-ended Learning for Zero-Shot Multi-Drone Cooperative Pursuit.

[BibT_eX]

[DOI]

CoRR, 2024

Fusion-PSRO: Nash Policy Fusion for Policy Space Response Oracles.

[BibT_eX]

[DOI]

CoRR, 2024

Efficient Model-agnostic Alignment via Bayesian Persuasion.

[BibT_eX]

[DOI]

CoRR, 2024

Efficient Preference-based Reinforcement Learning via Aligned Experience Estimation.

[BibT_eX]

[DOI]

CoRR, 2024

Reinforcing Language Agents via Policy Optimization with Action Decomposition.

[BibT_eX]

[DOI]

CoRR, 2024

AceMap: Knowledge Discovery through Academic Graph.

[BibT_eX]

[DOI]

CoRR, 2024

Offline Fictitious Self-Play for Competitive Games.

[BibT_eX]

[DOI]

CoRR, 2024

Leveraging Team Correlation for Approximating Equilibrium in Two-Team Zero-Sum Games.

[BibT_eX]

[DOI]

CoRR, 2024

Aligning Individual and Collective Objectives in Multi-Agent Cooperation.

[BibT_eX]

[DOI]

CoRR, 2024

Natural Language Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2024

Entropy-Regularized Token-Level Policy Optimization for Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

TRAD: Enhancing LLM Agents with Step-Wise Thought Retrieval and Aligned Decision.

[BibT_eX]

[DOI]

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

AlphaZero-Like Tree-Search can Guide Large Language Model Decoding and Training.

[BibT_eX]

[DOI]

Ziyu Wan

Xidong Feng

Muning Wen

Stephen Marcus McAleer

Ying Wen

Weinan Zhang

Jun Wang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

DS-Agent: Automated Data Science by Empowering Large Language Models with Case-Based Reasoning.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Large sequence models for sequential decision-making: a survey.

[BibT_eX]

[DOI]

Frontiers Comput. Sci., December, 2023

Offline Pre-trained Multi-agent Decision Transformer.

[BibT_eX]

[DOI]

Mach. Intell. Res., April, 2023

MALib: A Parallel Framework for Population-based Multi-agent Reinforcement Learning.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2023

Controlling Large Language Model-based Agents for Large-Scale Decision-Making: An Actor-Critic Approach.

[BibT_eX]

[DOI]

CoRR, 2023

Quantifying Zero-shot Coordination Capability with Behavior Preferring Partners.

[BibT_eX]

[DOI]

CoRR, 2023

Alphazero-like Tree-Search can Guide Large Language Model Decoding and Training.

[BibT_eX]

[DOI]

CoRR, 2023

GEAR: A GPU-Centric Experience Replay System for Large Reinforcement Learning Models.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Cooperative Open-ended Learning Framework for Zero-Shot Coordination.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Order Matters: Agent-by-agent Policy Optimization.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Adaptive Control Strategy for Quadruped Robots in Actuator Degradation Scenarios.

[BibT_eX]

[DOI]

Proceedings of the Fifth International Conference on Distributed Artificial Intelligence, 2023

DCAC: Reducing Unnecessary Conservatism in Offline-to-online Reinforcement Learning.

[BibT_eX]

[DOI]

Dongxiang Chen

Ying Wen

Proceedings of the Fifth International Conference on Distributed Artificial Intelligence, 2023

2022

Multi-Agent Feedback Enabled Neural Networks for Intelligent Communications.

[BibT_eX]

[DOI]

IEEE Trans. Wirel. Commun., 2022

Investigating the geometric structure of neural activation spaces with convex hull approximations.

[BibT_eX]

[DOI]

Neurocomputing, 2022

On Realization of Intelligent Decision-Making in the Real World: A Foundation Decision Model Perspective.

[BibT_eX]

[DOI]

CoRR, 2022

KnowledgeShovel: An AI-in-the-Loop Document Annotation System for Scientific Knowledge Base Construction.

[BibT_eX]

[DOI]

CoRR, 2022

DeepShovel: An Online Collaborative Platform for Data Extraction in Geoscience Literature with AI Assistance.

[BibT_eX]

[DOI]

CoRR, 2022

Efficient Policy Space Response Oracles.

[BibT_eX]

[DOI]

CoRR, 2022

Multi-Agent Reinforcement Learning is a Sequence Modeling Problem.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Greedy when Sure and Conservative when Uncertain about the Opponents.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Trust Region Policy Optimisation in Multi-Agent Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

A Game-Theoretic Approach to Multi-agent Trust Region Optimization.

[BibT_eX]

[DOI]

Proceedings of the Distributed Artificial Intelligence - 4th International Conference, 2022

Cross-Utterance Conditioned VAE for Non-Autoregressive Text-to-Speech.

[BibT_eX]

[DOI]

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

Offline Pre-trained Multi-Agent Decision Transformer: One Big Sequence Model Tackles All SMAC Tasks.

[BibT_eX]

[DOI]

CoRR, 2021

MALib: A Parallel Framework for Population-based Multi-agent Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2021

Unifying Behavioral and Response Diversity for Open-ended Learning in Zero-sum Games.

[BibT_eX]

[DOI]

CoRR, 2021

Discovering Multi-Agent Auto-Curricula in Two-Player Zero-Sum Games.

[BibT_eX]

[DOI]

CoRR, 2021

Towards Unifying Behavioral and Response Diversity for Open-ended Learning in Zero-sum Games.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Neural Auto-Curricula in Two-Player Zero-Sum Games.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Modelling Behavioural Diversity for Learning in Open-Ended Games.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

Learning in Nonzero-Sum Stochastic Games with Potentials.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

Retrospective Thinking based Multi-Agent System for Wireless Video Transmissions.

[BibT_eX]

[DOI]

Proceedings of the ICC 2021, 2021

MAFENN: Multi-Agent Feedback Enabled Neural Network for Wireless Channel Equalization.

[BibT_eX]

[DOI]

Proceedings of the IEEE Global Communications Conference, 2021

Diverse Auto-Curriculum is Critical for Successful Real-World Multiagent Learning Systems.

[BibT_eX]

[DOI]

Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

2020

Modeling mutual influence in multi-agent reinforcement learning.

[BibT_eX]

[DOI]

Ying Wen

PhD thesis, 2020

SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for Autonomous Driving.

[BibT_eX]

[DOI]

CoRR, 2020

Modelling Bounded Rationality in Multi-Agent Interactions by Generalized Recursive Reasoning.

[BibT_eX]

[DOI]

Ying Wen

Yaodong Yang

Jun Wang

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Multi-Agent Determinantal Q-Learning.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

SMARTS: An Open-Source Scalable Multi-Agent RL Training School for Autonomous Driving.

[BibT_eX]

[DOI]

Proceedings of the 4th Conference on Robot Learning, 2020

2019

Infer Your Enemies and Know Yourself, Learning in Real-Time Bidding with Partially Observable Opponents.

[BibT_eX]

[DOI]

Manxing Du

Alexander I. Cowen-Rivers

CoRR, 2019

Multi-Agent Generalized Recursive Reasoning.

[BibT_eX]

[DOI]

CoRR, 2019

A Regularized Opponent Model with Maximum Entropy Objective.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Probabilistic Recursive Reasoning for Multi-Agent Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the 7th International Conference on Learning Representations, 2019

Know Your Enemies and Know Yourself in the Real-Time Bidding Function Optimisation.

[BibT_eX]

[DOI]

Manxing Du

Alexander I. Cowen-Rivers

Proceedings of the 2019 International Conference on Data Mining Workshops, 2019

Factorized Q-learning for large-scale multi-agent systems.

[BibT_eX]

[DOI]

Proceedings of the First International Conference on Distributed Artificial Intelligence, 2019

2018

Factorized Q-Learning for Large-Scale Multi-Agent Systems.

[BibT_eX]

[DOI]

CoRR, 2018

A Study of AI Population Dynamics with Million-agent Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

2017

An Empirical Study of AI Population Dynamics with Million-agent Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2017

Learning to Design Games: Strategic Environments in Deep Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2017

Multiagent Bidirectionally-Coordinated Nets for Learning to Play StarCraft Combat Games.

[BibT_eX]

[DOI]

CoRR, 2017

2016

Learning text representation using recurrent convolutional neural network with highway layers.

[BibT_eX]

[DOI]

CoRR, 2016

Product-Based Neural Networks for User Response Prediction.

[BibT_eX]

[DOI]

Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Ying Wen

Timeline

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