Wei Yang

@inproceedings{yang2026adaptive,
  title = {Adaptive Collaboration with Humans: Metacognitive Policy Optimization for Multi-Agent LLMs with Continual Learning},
  author = {Yang, Wei and Cao, Defu and Pang, Jiacheng and Weng, Muyan and Liu, Yan},
  booktitle = {The Fourteenth International Conference on Learning Representations},
  year = {2026},
}

@article{ye2024domain,
  title = {TS-Reasoner: Domain-oriented time series inference agents for reasoning and automated analysis},
  author = {Ye, Wen and Yang, Wei and Cao, Defu and Zhang, Yizhou and Tang, Lumingyuan and Cai, Jie and Liu, Yan},
  journal = {Transactions on Machine Learning Research},
  year = {2026},
}

@article{weng2026temporalbench,
  title = {TemporalBench: A Benchmark for Evaluating LLM-Based Agents on Contextual and Event-Informed Time Series Tasks},
  author = {Weng, Muyan and Cao, Defu and Yang, Wei and Sharma, Yashaswi and Liu, Yan},
  journal = {arXiv preprint arXiv:2602.13272},
  year = {2026},
}

@article{yang2026auditing,
  title = {Auditing Multi-Agent LLM Reasoning Trees Outperforms Majority Vote and LLM-as-Judge},
  author = {Yang, Wei and Li, Shixuan and Ping, Heng and Zhang, Peiyu and Bogdan, Paul and Thomason, Jesse},
  journal = {arXiv preprint arXiv:2602.09341},
  year = {2026},
}

@article{li2026someonehidit,
  title = {"Someone Hid It": Query-Agnostic Black-Box Attacks on LLM-Based Retrieval},
  author = {Li, Jiate and Cao, Defu and Li, Li and Yang, Wei and Qin, Yuehan and Yu, Chenxiao and Yang, Tiannuo and Rossi, Ryan A. and Liu, Yan and Hu, Xiyang and Zhao, Yue},
  journal = {arXiv preprint arXiv:2602.00364},
  year = {2026},
}

@article{chen2026self,
  title = {Self-Compression of Chain-of-Thought via Multi-Agent Reinforcement Learning},
  author = {Chen, Yiqun and Feng, Jinyuan and Yang, Wei and Zhong, Meizhi and Shi, Zhengliang and Li, Rui and Wei, Xiaochi and Gao, Yan and Wu, Yi and Hu, Yao and Pu, Zhiqiang and Mao, Jiaxin},
  journal = {arXiv preprint arXiv:2601.21919},
  year = {2026},
}

@article{kan2026jobrec,
  title = {De-conflating Preference and Qualification: Constrained Dual-Perspective Reasoning for Job Recommendation with Large Language Models},
  author = {Kan, Bryce and Yang, Wei and Nguyen, Emily and Yi, Ganghui and Yi, Bowen and Yu, Chenxiao and Liu, Yan},
  journal = {arXiv preprint arXiv:2602.03097},
  year = {2026},
}

@article{yang2025toward,
  title = {Toward Evolutionary Intelligence: LLM-based Agentic Systems with Multi-Agent Reinforcement Learning},
  author = {Yang, Wei and Weng, Muyan and Pang, Jiacheng and Cao, Defu and Ping, Heng and Zhang, Peiyu and Li, Shixuan and Zhao, Yue and Yang, Qiang and Wang, Mengdi and others},
  journal = {Available at SSRN 5819182},
  year = {2025},
}

@article{ping2025verimoa,
  title = {VeriMoA: A Mixture-of-Agents Framework for Spec-to-HDL Generation},
  author = {Ping, Heng and Bhattacharjee, Arijit and Zhang, Peiyu and Li, Shixuan and Yang, Wei and Cheng, Anzhe and Zhang, Xiaole and Thomason, Jesse and Jannesari, Ali and Ahmed, Nesreen and others},
  journal = {arXiv preprint arXiv:2510.27617},
  year = {2025},
}

@article{yang2025maestro,
  title = {Maestro: Learning to Collaborate via Conditional Listwise Policy Optimization for Multi-Agent LLMs},
  author = {Yang, Wei and Pang, Jiacheng and Li, Shixuan and Bogdan, Paul and Tu, Stephen and Thomason, Jesse},
  journal = {arXiv preprint arXiv:2511.06134},
  year = {2025},
}

@inproceedings{chen2025tourrank,
  title = {TourRank: Utilizing Large Language Models for Document Ranking with a Tournament-Inspired Strategy},
  author = {Chen, Yiqun and Liu, Qi and Zhang, Yi and Sun, Weiwei and Ma, Xinyu and Yang, Wei and Shi, Daiting and Mao, Jiaxin and Yin, Dawei},
  booktitle = {Proceedings of The Web Conference (WWW) 2025},
  pages = {1638--1652},
  year = {2025},
}

@article{chang2025survey,
  title = {A Survey of Reasoning and Agentic Systems in Time Series with Large Language Models},
  author = {Chang, Ching and Shi, Yidan and Cao, Defu and Yang, Wei and Hwang, Jeehyun and Wang, Haixin and Pang, Jiacheng and Wang, Wei and Liu, Yan and Peng, Wen-Chih and others},
  journal = {arXiv preprint arXiv:2509.11575},
  year = {2025},
}

@article{yang2025learning,
  title = {Learning to Deliberate: Meta-Policy Collaboration for Agentic LLMs with Multi-Agent Reinforcement Learning},
  author = {Yang, Wei and Thomason, Jesse},
  journal = {arXiv preprint arXiv:2509.03817},
  year = {2025},
}

@article{yang2025structured,
  title = {Structured Spectral Reasoning for Frequency-Adaptive Multimodal Recommendation},
  author = {Yang, Wei and Zhong, Rui and Chen, Yiqun and Lu, Chi and Jiang, Peng},
  journal = {arXiv preprint arXiv:2512.01372},
  year = {2025},
}

@inproceedings{yang2025fitmm,
  title = {FITMM: Adaptive Frequency-Aware Multimodal Recommendation via Information-Theoretic Representation Learning},
  author = {Yang, Wei and Zhong, Rui and Chen, Yiqun and Li, Shixuan and Ping, Heng and Lu, Chi and Jiang, Peng},
  booktitle = {Proceedings of the 33rd ACM International Conference on Multimedia (ACM MM 2025)},
  pages = {6193--6202},
  year = {2025},
}

@inproceedings{zhao2025hierarchical,
  title = {Hierarchical Sequence ID Representation of Large Language Models for Large-Scale Recommendation Systems},
  author = {Zhao, Rui and Zhong, Rui and Zheng, Haoran and Yang, Wei and Lu, Chi and Jin, Beihong and Jiang, Peng and Gai, Kun},
  booktitle = {Companion Proceedings of The Web Conference (WWW) 2025},
  pages = {641--650},
  year = {2025},
}

@inproceedings{xia2025hierarchical,
  title = {Hierarchical Tree Search-Based User Lifelong Behavior Modeling on Large Language Model},
  author = {Xia, Yu and Zhong, Rui and Gu, Hao and Yang, Wei and Lu, Chi and Jiang, Peng and Gai, Kun},
  booktitle = {Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2025)},
  pages = {1758--1767},
  year = {2025},
}

@inproceedings{gu2025r4ec,
  title = {R4ec: A Reasoning, Reflection, and Refinement Framework for Recommendation Systems},
  author = {Gu, Hao and Zhong, Rui and Xia, Yu and Yang, Wei and Lu, Chi and Jiang, Peng and Gai, Kun},
  booktitle = {Proceedings of the Nineteenth ACM Conference on Recommender Systems (RecSys 2025)},
  pages = {411--421},
  year = {2025},
}

@inproceedings{yang2024enhancing,
  title = {Enhancing Transformer-Based Semantic Matching for Few-Shot Learning through Weakly Contrastive Pre-Training},
  author = {Yang, Wei and Huo, Tengfei and Liu, Zhiqiang},
  booktitle = {Proceedings of the 32nd ACM International Conference on Multimedia (ACM MM 2024)},
  pages = {10611--10620},
  year = {2024},
}

@article{chen2022ptde,
  title = {PTDE: Personalized Training with Distilled Execution for Multi-Agent Reinforcement Learning},
  author = {Chen, Yiqun and Mao, Hangyu and Mao, Jiaxin and Wu, Shiguang and Zhang, Tianle and Zhang, Bin and Yang, Wei and Chang, Hongxing},
  journal = {arXiv preprint arXiv:2210.08872},
  year = {2024},
}

@inproceedings{yang2024multimodal,
  title = {Multimodal-Aware Multi-Intention Learning for Recommendation},
  author = {Yang, Wei and Yang, Qingchen},
  booktitle = {Proceedings of the 32nd ACM International Conference on Multimedia (ACM MM 2024)},
  pages = {5663--5672},
  year = {2024},
}

@inproceedings{chen2022commander,
  title = {Commander-Soldiers Reinforcement Learning for Cooperative Multi-Agent Systems},
  author = {Chen, Yiqun and Yang, Wei and Zhang, Tianle and Wu, Shiguang and Chang, Hongxing},
  booktitle = {2022 International Joint Conference on Neural Networks (IJCNN 2022)},
  pages = {1--7},
  year = {2022},
  organization = {IEEE},
}