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Ren-Jian Wang
王任柬

Ph.D. Student
LAMDA Group
National Key Laboratory for Novel Software Technology
School of Artificial Intelligence
Nanjing University
✉️ wangrj (at) lamda.nju.edu.cn


About Me

I am a Ph.D. student of School of Artificial Intelligence in Nanjing University, under the supervision of Associate Prof. Chao Qian, and a member of LAMDA Group, led by professor Zhi-Hua Zhou.

Research Interests

I am interested in Machine Learning and Evolutionary Algorithms, especially

Publications



* Equal Contribution
  1. Quality-Diversity Red-Teaming: Automated Generation of High-Quality and Diverse Attackers for Large Language Models
    Ren-Jian Wang*, Ke Xue*, Zeyu Qin, Ziniu Li, Sheng Tang, Hao-Tian Li, Shengcai Liu, and Chao Qian
    CoRR abs/2506.07121, 2025.
    Preprint

  2. Diversity from Human Feedback
    Ren-Jian Wang*, Ke Xue*, Yutong Wang, Peng Yang, Haobo Fu, Qiang Fu, and Chao Qian
    Frontiers of Computer Science, in press.
    A preliminarty version has appeared at the 2nd Agent Learning in Open-Endedness Workshop at NeurIPS'23, New Orleans, LA, 2023.
    PDF Preprint Poster

  3. Pareto Set Learning for Multi-Objective Reinforcement Learning
    Erlong Liu, Yu-Chang Wu, Xiaobin Huang, Chengrui Gao, Ren-Jian Wang, Ke Xue, and Chao Qian
    In Proceedings of the 39th AAAI Conference on Artificial Intelligence (AAAI'25), Philadelphia, PA, 2025, pp.18789-18797.
    PDF Preprint (Oral)

  4. Quality-Diversity with Limited Resources
    Ren-Jian Wang, Ke Xue, Cong Guan, and Chao Qian
    In Proceedings of the 41st International Conference on Machine Learning (ICML'24), Vienna, Austria, 2024, pp.51984-52001.
    PDF Preprint Code Poster BibTex

  5. Quality-Diversity Algorithms Can Provably Be Helpful for Optimization
    Chao Qian, Ke Xue, and Ren-Jian Wang
    In Proceedings of the 33rd International Joint Conference on Artificial Intelligence (IJCAI'24), Jeju, Korea, 2024, pp.6994-7002.
    PDF Preprint

  6. Sample-Efficient Quality-Diversity by Cooperative Coevolution
    Ke Xue*, Ren-Jian Wang*, Pengyi Li, Dong Li, Jianye Hao, and Chao Qian
    In Proceedings of the 12th International Conference on Learning Representations (ICLR'24), Vienna, Austria, 2024.
    PDF Code (Spotlight, top 5%)

  7. Multi-objective Optimization-based Selection for Quality-Diversity by Non-surrounded-dominated Sorting
    Ren-Jian Wang, Ke Xue, Haopu Shang, Chao Qian, Haobo Fu, and Qiang Fu
    In Proceedings of the 32nd International Joint Conference on Artificial Intelligence (IJCAI'23), Macao, SAR, China, 2023, pp.4335-4343.
    PDF Code BibTex

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