Risk-Sensitive Reinforcement Learning Via Entropic- VaR Optimization. - Xinyi Ni; Lifeng Lai (IEEECONF, 2022)

Policy Gradient Based Entropic-VaR Optimization in Risk-Sensitive Reinforcement Learning. - Xinyi Ni; Lifeng Lai (Allerton, 2022)

Risk-Sensitive Reward-Free Reinforcement Learning with CVaR. - Xinyi Ni; Guanlin Liu; Lifeng Lai (ICML, 2024)

Robust Risk-Sensitive Reinforcement Learning with Conditional Value-at-Risk. - Xinyi Ni; Lifeng Lai (ITW, 2024)

Reflections from the 2024 Large Language Model (LLM) Hackathon for Applications in Materials Science and Chemistry. - Yoel Zimmermann; Adib Bazgir; Zartashia Afzal; Fariha Agbere; Qianxiang Ai; Nawaf Alampara; Alexander Al-Feghali; Mehrad Ansari; Dmytro Antypov; Amro Aswad; Jiaru Bai; Viktoriia Baibakova; et al. (CoRR, 2024)

ToolFactory: Automating Tool Generation by Leveraging LLM to Understand REST API Documentations. - Xinyi Ni; Qiuyang Wang; Yukun Zhang; Pengyu Hong (CoRR, 2025)

Multiple Abstraction Level Retrieve Augment Generation. - Zheng Zheng; Xinyi Ni; Pengyu Hong (CoRR, 2025)

Doc2Agent: Scalable Generation of Tool-Using Agents from API Documentation. - Xinyi Ni; Haonan Jian; Qiuyang Wang; Vedanshi Chetan Shah; Pengyu Hong (CoRR, 2025)

Learning Personalised Human Internal Cognition from External Expressive Behaviours for Real Personality Recognition. - Xiangyu Kong; Hengde Zhu; Haoqin Sun; Zhihao Guo; Jiayan Gu; Xinyi Ni; Wei Zhang; Shizhe Liu; Siyang Song (CoRR, 2025)

Risk-Sensitive Reinforcement Learning With ϕ-Divergence-Risk. - Xinyi Ni; Lifeng Lai (IEEE Trans. Inf. Theory, 2025)