Xinyi Ni

According to our database, Xinyi Ni authored at least 10 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Risk-Sensitive Reinforcement Learning With ϕ-Divergence-Risk.

Xinyi Ni, Lifeng Lai

IEEE Trans. Inf. Theory, August, 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, August, 2025

Doc2Agent: Scalable Generation of Tool-Using Agents from API Documentation.

Xinyi Ni, Haonan Jian, Qiuyang Wang, Vedanshi Chetan Shah, Pengyu Hong

CoRR, June, 2025

Multiple Abstraction Level Retrieve Augment Generation.

Zheng Zheng, Xinyi Ni, Pengyu Hong

CoRR, January, 2025

ToolFactory: Automating Tool Generation by Leveraging LLM to Understand REST API Documentations.

Xinyi Ni, Qiuyang Wang, Yukun Zhang, Pengyu Hong

CoRR, January, 2025

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, Devi Dutta Biswajeet, Erik Bitzek, Joshua D. Bocarsly, Anna S. Borisova, Andres M. Bran, L. Catherine Brinson, Marcel Moran Calderon, Alessandro Canalicchio, Victor Chen, Yuan Chiang, Defne Circi, Benjamin Charmes, Vikrant Chaudhary, Zizhang Chen, Min-Hsueh Chiu, Judith Clymo, Kedar Dabhadkar, Nathan Daelman, Archit Datar, Matthew L. Evans, Maryam Ghazizade Fard, Giuseppe Fisicaro, Abhijeet Sadashiv Gangan, Janine George, Jose D. Cojal Gonzalez, Michael Götte, Ankur K. Gupta, Hassan Harb, Pengyu Hong, Abdelrahman Ibrahim, Ahmed Ilyas, Alishba Imran, Kevin Ishimwe, Ramsey Issa, Kevin Maik Jablonka, Colin Jones, Tyler R. Josephson, Greg Juhasz, Sarthak Kapoor, Rongda Kang, Ghazal Khalighinejad, Sartaaj Khan, Sascha Klawohn, Suneel Kuman, Alvin Noe Ladines, Sarom Leang, Magdalena Lederbauer, Sheng-Lun Mark Liao, Hao Liu, Xuefeng Liu, Stanley Lo, Sandeep Madireddy, Piyush Ranjan Maharana, Shagun Maheshwari, Soroush Mahjoubi, José A. Márquez, Rob Mills, Trupti Mohanty, Bernadette Mohr, Seyed Mohamad Moosavi, Alexander Moßhammer, Amirhossein D. Naghdi, Aakash Naik, Oleksandr Narykov, Hampus Näsström, Xuan Vu Nguyen, Xinyi Ni, Dana O'Connor, Teslim Olayiwola, Federico Ottomano, Aleyna Beste Ozhan, Sebastian Pagel, Chiku Parida, Jaehee Park, Vraj Patel, Elena Patyukova, Martin Hoffmann Petersen, Luis Pinto, José M. Pizarro, Dieter Plessers, Tapashree Pradhan, Utkarsh Pratiush, Charishma Puli, Andrew Qin, Mahyar Rajabi, Francesco Ricci, Elliot Risch, Martiño Ríos-García

CoRR, 2024

Robust Risk-Sensitive Reinforcement Learning with Conditional Value-at-Risk.

Xinyi Ni, Lifeng Lai

Proceedings of the IEEE Information Theory Workshop, 2024

Risk-Sensitive Reward-Free Reinforcement Learning with CVaR.

Xinyi Ni, Guanlin Liu, Lifeng Lai

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2022

Policy Gradient Based Entropic-VaR Optimization in Risk-Sensitive Reinforcement Learning.

Xinyi Ni, Lifeng Lai

Proceedings of the 58th Annual Allerton Conference on Communication, 2022

Risk-Sensitive Reinforcement Learning Via Entropic- VaR Optimization.

Xinyi Ni, Lifeng Lai

Proceedings of the 56th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2022, Pacific Grove, CA, USA, October 31, 2022