publications

2026

1. ICLR 2026

   Adaptive Collaboration with Humans: Metacognitive Policy Optimization for Multi-Agent LLMs with Continual Learning

   Wei Yang, Defu Cao, Jiacheng Pang, and 2 more authors

   In The Fourteenth International Conference on Learning Representations, 2026

   Bib HTML Code

   @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},
   }

2. TMLR 2026

   TS-Reasoner: Domain-oriented time series inference agents for reasoning and automated analysis

   Wen Ye^*, Wei Yang^*, Defu Cao, and 4 more authors

   Transactions on Machine Learning Research, 2026

   Bib HTML Code

   @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},
   }

3. arXiv

   TemporalBench: A Benchmark for Evaluating LLM-Based Agents on Contextual and Event-Informed Time Series Tasks

   Muyan Weng, Defu Cao, Wei Yang, and 2 more authors

   arXiv preprint arXiv:2602.13272, 2026

   Bib HTML Code

   @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},
   }

4. arXiv

   Auditing Multi-Agent LLM Reasoning Trees Outperforms Majority Vote and LLM-as-Judge

   Wei Yang^*, Shixuan Li^*, Heng Ping, and 3 more authors

   arXiv preprint arXiv:2602.09341, 2026

   Bib HTML

   @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},
   }

5. arXiv

   "Someone Hid It": Query-Agnostic Black-Box Attacks on LLM-Based Retrieval

   Jiate Li, Defu Cao, Li Li, and 8 more authors

   arXiv preprint arXiv:2602.00364, 2026

   Bib HTML Code

   @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},
   }

6. arXiv

   Self-Compression of Chain-of-Thought via Multi-Agent Reinforcement Learning

   Yiqun Chen^*, Jinyuan Feng^*, Wei Yang^*, and 9 more authors

   arXiv preprint arXiv:2601.21919, 2026

   Bib HTML

   @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},
   }

7. arXiv

   De-conflating Preference and Qualification: Constrained Dual-Perspective Reasoning for Job Recommendation with Large Language Models

   Bryce Kan^*, Wei Yang^*, Emily Nguyen, and 4 more authors

   arXiv preprint arXiv:2602.03097, 2026

   Bib HTML Code

   @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},
   }

2025

1. SSRN

   Toward Evolutionary Intelligence: LLM-based Agentic Systems with Multi-Agent Reinforcement Learning

   Wei Yang, Muyan Weng, Jiacheng Pang, and 8 more authors

   Available at SSRN 5819182, 2025

   Bib HTML Code

   @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},
   }

2. MLSys 2026

   VeriMoA: A Mixture-of-Agents Framework for Spec-to-HDL Generation

   Heng Ping, Arijit Bhattacharjee, Peiyu Zhang, and 8 more authors

   arXiv preprint arXiv:2510.27617, 2025

   Bib HTML

   @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},
   }

3. arXiv

   Maestro: Learning to Collaborate via Conditional Listwise Policy Optimization for Multi-Agent LLMs

   Wei Yang, Jiacheng Pang, Shixuan Li, and 3 more authors

   arXiv preprint arXiv:2511.06134, 2025

   Bib HTML

   @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},
   }

4. WWW 2025

   TourRank: Utilizing Large Language Models for Document Ranking with a Tournament-Inspired Strategy

   Yiqun Chen, Qi Liu, Yi Zhang, and 6 more authors

   In Proceedings of The Web Conference (WWW) 2025, 2025

   Bib HTML Code

   @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},
   }

5. arXiv

   A Survey of Reasoning and Agentic Systems in Time Series with Large Language Models

   Ching Chang, Yidan Shi, Defu Cao, and 8 more authors

   arXiv preprint arXiv:2509.11575, 2025

   Bib HTML

   @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},
   }

6. AAAI 2026

   Learning to Deliberate: Meta-Policy Collaboration for Agentic LLMs with Multi-Agent Reinforcement Learning

   Wei Yang and Jesse Thomason

   arXiv preprint arXiv:2509.03817, 2025

   Bib HTML

   @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},
   }

7. NeurIPS 2025

   Structured Spectral Reasoning for Frequency-Adaptive Multimodal Recommendation

   Wei Yang, Rui Zhong, Yiqun Chen, and 2 more authors

   arXiv preprint arXiv:2512.01372, 2025

   Bib HTML Code

   @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},
   }

8. ACM MM 2025

   FITMM: Adaptive Frequency-Aware Multimodal Recommendation via Information-Theoretic Representation Learning

   Wei Yang, Rui Zhong, Yiqun Chen, and 4 more authors

   In Proceedings of the 33rd ACM International Conference on Multimedia (ACM MM 2025), 2025

   Bib HTML Code

   @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},
   }

9. WWW 2025

   Hierarchical Sequence ID Representation of Large Language Models for Large-Scale Recommendation Systems

   Rui Zhao, Rui Zhong, Haoran Zheng, and 5 more authors

   In Companion Proceedings of The Web Conference (WWW) 2025, 2025

   Bib HTML Code

   @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},
   }

10. SIGIR 2025

    Hierarchical Tree Search-Based User Lifelong Behavior Modeling on Large Language Model

    Yu Xia, Rui Zhong, Hao Gu, and 4 more authors

    In Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2025), 2025

    Bib HTML Code

    @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},
    }

11. RecSys 2025

    R4ec: A Reasoning, Reflection, and Refinement Framework for Recommendation Systems

    Hao Gu, Rui Zhong, Yu Xia, and 4 more authors

    In Proceedings of the Nineteenth ACM Conference on Recommender Systems (RecSys 2025), 2025

    Bib HTML Code

    @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},
    }

2024

1. ACM MM 2024

   Enhancing Transformer-Based Semantic Matching for Few-Shot Learning through Weakly Contrastive Pre-Training

   Wei Yang, Tengfei Huo, and Zhiqiang Liu

   In Proceedings of the 32nd ACM International Conference on Multimedia (ACM MM 2024), 2024

   Bib HTML Code

   @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},
   }

2. IJCAI 2024

   PTDE: Personalized Training with Distilled Execution for Multi-Agent Reinforcement Learning

   Yiqun Chen, Hangyu Mao, Jiaxin Mao, and 5 more authors

   arXiv preprint arXiv:2210.08872, 2024

   Bib HTML Code

   @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},
   }

3. ACM MM 2024

   Multimodal-Aware Multi-Intention Learning for Recommendation

   Wei Yang and Qingchen Yang

   In Proceedings of the 32nd ACM International Conference on Multimedia (ACM MM 2024), 2024

   Bib HTML Code

   @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},
   }

2022

1. IJCNN 2022

   Commander-Soldiers Reinforcement Learning for Cooperative Multi-Agent Systems

   Yiqun Chen, Wei Yang, Tianle Zhang, and 2 more authors

   In 2022 International Joint Conference on Neural Networks (IJCNN 2022), 2022

   Bib HTML

   @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},
   }

1967

1. Vision

   

   Letters on wave mechanics

   Albert Einstein, Erwin Schrödinger, Max Planck, and 2 more authors

   1967

   Bib

   @book{przibram1967letters,
     title = {Letters on wave mechanics},
     author = {Einstein, Albert and Schrödinger, Erwin and Planck, Max and Lorentz, Hendrik Antoon and Przibram, Karl},
     year = {1967},
     publisher = {Vision},
   }

1956

1. 

   Investigations on the Theory of the Brownian Movement

   Albert Einstein

   1956

   Bib

   @book{einstein1956investigations,
     title = {Investigations on the Theory of the Brownian Movement},
     author = {Einstein, Albert},
     year = {1956},
     publisher = {Courier Corporation},
   }

1950

1. AJP

   The meaning of relativity

   Albert Einstein and AH Taub

   American Journal of Physics, 1950

   Bib

   @article{einstein1950meaning,
     title = {The meaning of relativity},
     author = {Einstein, Albert and Taub, AH},
     journal = {American Journal of Physics},
     volume = {18},
     number = {6},
     pages = {403--404},
     year = {1950},
     publisher = {American Association of Physics Teachers}
   }

1935

1. PhysRev

   Can Quantum-Mechanical Description of Physical Reality Be Considered Complete?

   A. Einstein^*†, B. Podolsky^*, and N. Rosen^*

   Phys. Rev., New Jersey. More Information can be found here , May 1935

   Abs DOI HTML PDF Video

   

   In a complete theory there is an element corresponding to each element of reality. A sufficient condition for the reality of a physical quantity is the possibility of predicting it with certainty, without disturbing the system. In quantum mechanics in the case of two physical quantities described by non-commuting operators, the knowledge of one precludes the knowledge of the other. Then either (1) the description of reality given by the wave function in quantum mechanics is not complete or (2) these two quantities cannot have simultaneous reality. Consideration of the problem of making predictions concerning a system on the basis of measurements made on another system that had previously interacted with it leads to the result that if (1) is false then (2) is also false. One is thus led to conclude that the description of reality as given by a wave function is not complete.

1920

1. Relativity: the Special and General Theory

   Albert Einstein

   1920

   HTML

1905

1. Über die von der molekularkinetischen Theorie der Wärme geforderte Bewegung von in ruhenden Flüssigkeiten suspendierten Teilchen

   A. Einstein

   Annalen der physik, 1905
2. Ann. Phys.

   Un the movement of small particles suspended in statiunary liquids required by the molecular-kinetic theory 0f heat

   A. Einstein

   Ann. Phys., 1905
3. On the electrodynamics of moving bodies

   A. Einstein

   1905
4. Ann. Phys.

   Über einen die Erzeugung und Verwandlung des Lichtes betreffenden heuristischen Gesichtspunkt

   Albert Einstein

   Ann. Phys., 1905

   Nobel Prize Abs DOI Bib

   Albert Einstein receveid the Nobel Prize in Physics 1921 for his services to Theoretical Physics, and especially for his discovery of the law of the photoelectric effect

   This is the abstract text.

   @article{einstein1905photoelectriceffect,
     title = {{{\"U}ber einen die Erzeugung und Verwandlung des Lichtes betreffenden heuristischen Gesichtspunkt}},
     author = {Einstein, Albert},
     journal = {Ann. Phys.},
     volume = {322},
     number = {6},
     pages = {132--148},
     year = {1905},
     doi = {10.1002/andp.19053220607},
   }