Large Trajectory Models are Scalable Motion Predictors and Planners. - Qiao Sun; Shiduo Zhang; Danjiao Ma; Jingzhe Shi; Derun Li; Simian Luo; Yu Wang 177; Ningyi Xu; Guangzhi Cao; Hang Zhao (CoRR, 2023)

Scaling Law for Time Series Forecasting. - Jingzhe Shi; Qinwei Ma; Huan Ma; Lei Li (NeurIPS, 2024)

CHOPS: CHat with custOmer Profile Systems for Customer Service with LLMs. - Jingzhe Shi; Jialuo Li; Qinwei Ma; Zaiwen Yang; Huan Ma; Lei Li (CoRR, 2024)

Graph Canvas for Controllable 3D Scene Generation. - Libin Liu; Shen Chen; Sen Jia 003; Jingzhe Shi; Zhongyu Jiang; Can Jin; Wu Zongkai; Jenq-Neng Hwang; Lei Li 050 (CoRR, 2024)

Explaining Context Length Scaling and Bounds for Language Models. - Jingzhe Shi; Qinwei Ma; Hongyi Liu; Hang Zhao; Jenq-Neng Hwang; Serge J. Belongie; Lei Li 050 (CoRR, 2025)

Gradient Imbalance in Direct Preference Optimization. - Qinwei Ma; Jingzhe Shi; Can Jin; Jenq-Neng Hwang; Serge J. Belongie; Lei Li 050 (CoRR, 2025)

Re:Form - Reducing Human Priors in Scalable Formal Software Verification with RL in LLMs: A Preliminary Study on Dafny. - Chuanhao Yan; Fengdi Che; Xuhan Huang; Xu Xu; Xin Li; Yizhi Li; Xingwei Qu; Jingzhe Shi; Zhuangzhuang He; Chenghua Lin; Yaodong Yang 001; Binhang Yuan; et al. (CoRR, 2025)