Two-Stage Water Jet Landing Point Prediction Model for Intelligent Water Shooting Robot. - Yunhan Lin; Wenlong Ji; Haowei He; Yaojie Chen (Sensors, 2021)

An Unconstrained Layer-Peeled Perspective on Neural Collapse. - Wenlong Ji; Yiping Lu 001; Yiliang Zhang; Zhun Deng; Weijie J. Su (ICLR, 2022)

Importance Tempering: Group Robustness for Overparameterized Models. - Yiping Lu 001; Wenlong Ji; Zachary Izzo; Lexing Ying (CoRR, 2022)

Understanding Multimodal Contrastive Learning and Incorporating Unpaired Data. - Ryumei Nakada; Halil Ibrahim Gulluk; Zhun Deng; Wenlong Ji; James Zou 001; Linjun Zhang (AISTATS, 2023)

The Power of Contrast for Feature Learning: A Theoretical Analysis. - Wenlong Ji; Zhun Deng; Ryumei Nakada; James Zou 001; Linjun Zhang (J. Mach. Learn. Res., 2023)

Scaling Laws for the Value of Individual Data Points in Machine Learning. - Ian Connick Covert; Wenlong Ji; Tatsunori Hashimoto; James Zou 001 (ICML, 2024)

Mapping the Increasing Use of LLMs in Scientific Papers. - Weixin Liang; Yaohui Zhang; Zhengxuan Wu; Haley Lepp; Wenlong Ji; Xuandong Zhao; Hancheng Cao; Sheng Liu; Siyu He; Zhi Huang; Diyi Yang; Christopher Potts; et al. (CoRR, 2024)

Predictions as Surrogates: Revisiting Surrogate Outcomes in the Age of AI. - Wenlong Ji; Lihua Lei; Tijana Zrnic (CoRR, 2025)

An Overview of Large Language Models for Statisticians. - Wenlong Ji; Weizhe Yuan; Emily J. Getzen; Kyunghyun Cho; Michael I. Jordan; Song Mei; Jason Aaron Edward Weston; Weijie J. Su; Jing Xu; Linjun Zhang (CoRR, 2025)

A Theoretical Framework for Prompt Engineering: Approximating Smooth Functions with Transformer Prompts. - Ryumei Nakada; Wenlong Ji; Tianxi Cai; James Zou; Linjun Zhang (CoRR, 2025)

From Replication to Redesign: Exploring Pairwise Comparisons for LLM-Based Peer Review. - Yaohui Zhang; Haijing Zhang; Wenlong Ji; Tianyu Hua; Nick Haber; Hancheng Cao; Weixin Liang (CoRR, 2025)

Multi-Armed Bandits With Machine Learning-Generated Surrogate Rewards. - Wenlong Ji; Yihan Pan; Ruihao Zhu; Lihua Lei (CoRR, 2025)