Optimal prediction of data with unknown abrupt change points. - Jie Ding 002; Jiawei Zhou 012; Vahid Tarokh (GlobalSIP, 2017)

A Penalized Method for the Predictive Limit of Learning. - Jie Ding 002; Enmao Diao; Jiawei Zhou 012; Vahid Tarokh (ICASSP, 2018)

Asymptotically Optimal Prediction for Time-Varying Data Generating Processes. - Jie Ding 002; Jiawei Zhou 012; Vahid Tarokh (IEEE Trans. Inf. Theory, 2019)

On Statistical Efficiency in Learning. - Jie Ding 002; Enmao Diao; Jiawei Zhou 012; Vahid Tarokh (IEEE Trans. Inf. Theory, 2021)

AssistedDS: Benchmarking How External Domain Knowledge Assists LLMs in Automated Data Science. - An Luo; Xun Xian; Jin Du; Fangqiao Tian; Ganghua Wang; Ming Zhong; Shengchun Zhao; Xuan Bi; Zirui Liu 001; Jiawei Zhou 012; Jayanth Srinivasa; Ashish Kundu; et al. (EMNLP (Findings), 2025)

Beyond Expectations: Quantile-Guided Alignment for Risk-Calibrated Language Models. - Xinran Wang; Jin Du; Azal Ahmad Khan; Qi Le; Enmao Diao; Jiawei Zhou 012; Jie Ding 002; Ali Anwar 001 (NeurIPS, 2025)

Intent-Driven Network Management with Multi-Agent LLMs: The Confucius Framework. - Zhaodong Wang; Samuel Lin; Guanqing Yan; Soudeh Ghorbani; Minlan Yu; Jiawei Zhou 012; Nathan Hu; Lopa Baruah; Sam Peters; Srikanth Kamath; Jerry Yang; Ying Zhang 022 (SIGCOMM, 2025)

An Outlook on the Opportunities and Challenges of Multi-Agent AI Systems. - Fangqiao Tian; An Luo; Jin Du; Xun Xian; Robert Specht; Ganghua Wang; Xuan Bi; Jiawei Zhou 012; Jayanth Srinivasa; Ashish Kundu; Charles Fleming; Rui Zhang 028; et al. (CoRR, 2025)

Finding the Signal in the Noise: An Exploratory Study on Assessing the Effectiveness of AI and Accessibility Forums for Blind Users' Support Needs. - Satwik Ram Kodandaram; Jiawei Zhou 012; Xiaojun Bi 001; I. V. Ramakrishnan; Vikas Ashok (CHI, 2026)

Lost in Instructions: Study of Blind Users' Experiences with DIY Manuals and AI-Rewritten Instructions for Assembly, Operation, and Troubleshooting of Tangible Products. - Monalika Padma Reddy; Aruna Balasubramanian; Jiawei Zhou 012; Xiaojun Bi 001; I. V. Ramakrishnan; Vikas Ashok (CHI, 2026)