Xinrun Wang
Orcid: 0000-0003-3369-219X
According to our database1,
Xinrun Wang
authored at least 62 papers
between 2017 and 2025.
Collaborative distances:
Collaborative distances:
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Bibliography
2025
GDBA Revisited: Unleashing the Power of Guided Local Search for Distributed Constraint Optimization.
CoRR, August, 2025
FinWorld: An All-in-One Open-Source Platform for End-to-End Financial AI Research and Deployment.
CoRR, August, 2025
StarDojo: Benchmarking Open-Ended Behaviors of Agentic Multimodal LLMs in Production-Living Simulations with Stardew Valley.
CoRR, July, 2025
Why Regression? Binary Encoding Classification Brings Confidence to Stock Market Index Price Prediction.
CoRR, June, 2025
The Avengers: A Simple Recipe for Uniting Smaller Language Models to Challenge Proprietary Giants.
CoRR, May, 2025
FinMaster: A Holistic Benchmark for Mastering Full-Pipeline Financial Workflows with LLMs.
CoRR, May, 2025
CoRR, May, 2025
Nondeterministic Polynomial-time Problem Challenge: An Ever-Scaling Reasoning Benchmark for LLMs.
CoRR, April, 2025
IEEE Trans. Image Process., 2025
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
FaithfulRAG: Fact-Level Conflict Modeling for Context-Faithful Retrieval-Augmented Generation.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025
2024
TWOSOME: An Efficient Online Framework to Align LLMs with Embodied Environments via Reinforcement Learning.
Int. J. Artif. Intell. Robotics Res., June, 2024
Resultant: Incremental Effectiveness on Likelihood for Unsupervised Out-of-Distribution Detection.
CoRR, 2024
Towards General Computer Control: A Multimodal Agent for Red Dead Redemption II as a Case Study.
CoRR, 2024
True Knowledge Comes from Practice: Aligning LLMs with Embodied Environments via Reinforcement Learning.
CoRR, 2024
keqing: knowledge-based question answering is a nature chain-of-thought mentor of LLM.
CoRR, 2024
Reinforcement Learning with Maskable Stock Representation for Portfolio Management in Customizable Stock Pools.
Proceedings of the ACM on Web Conference 2024, 2024
MacroHFT: Memory Augmented Context-aware Reinforcement Learning On High Frequency Trading.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
A Multimodal Foundation Agent for Financial Trading: Tool-Augmented, Diversified, and Generalist.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
True Knowledge Comes from Practice: Aligning Large Language Models with Embodied Environments via Reinforcement Learning.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Solving Homogeneous and Heterogeneous Cooperative Tasks with Greedy Sequential Execution.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024
Market-GAN: Adding Control to Financial Market Data Generation with Semantic Context.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
Transition-Informed Reinforcement Learning for Large-Scale Stackelberg Mean-Field Games.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
PRUDEX-Compass: Towards Systematic Evaluation of Reinforcement Learning in Financial Markets.
Trans. Mach. Learn. Res., 2023
TradeMaster: A Holistic Quantitative Trading Platform Empowered by Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Controlling Type Confounding in Ad Hoc Teamwork with Instance-wise Teammate Feedback Rectification.
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
2021
RMIX: Learning Risk-Sensitive Policies for Cooperative Reinforcement Learning Agents.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Solving Large-Scale Extensive-Form Network Security Games via Neural Fictitious Self-Play.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021
CFR-MIX: Solving Imperfect Information Extensive-Form Games with Combinatorial Action Space.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021
2020
Learning to Collaborate in Multi-Module Recommendation via Multi-Agent Reinforcement Learning without Communication.
Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020
Proceedings of the 8th International Conference on Learning Representations, 2020
Proceedings of the IEEE International Conference on Human-Machine Systems, 2020
We Mind Your Well-Being: Preventing Depression in Uncertain Social Networks by Sequential Interventions.
Proceedings of the Thirtieth International Conference on Automated Planning and Scheduling, 2020
2019
Defending on networks: applying game theory to prevent illegal activities in structured security domains
PhD thesis, 2019
Inducing Cooperation via Team Regret Minimization based Multi-Agent Deep Reinforcement Learning.
CoRR, 2019
Who Should Pay the Cost: A Game-theoretic Model for Government Subsidized Investments to Improve National Cybersecurity.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Choosing Protection: User Investments in Security Measures for Cyber Risk Management.
Proceedings of the Decision and Game Theory for Security - 10th International Conference, 2019
When Players Affect Target Values: Modeling and Solving Dynamic Partially Observable Security Games.
Proceedings of the Decision and Game Theory for Security - 10th International Conference, 2019
2018
Catching Captain Jack: Efficient Time and Space Dependent Patrols to Combat Oil-Siphoning in International Waters.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
2017
Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems, 2017