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Jiawei Zhou 0012
Person information
- affiliation: Stony Brook University, Stony Brook, NY, USA
Other persons with the same name
- Jiawei Zhou — disambiguation page
- Jiawei Zhou 0001 — Harvard University, MA, USA
- Jiawei Zhou 0002
— Georgia Institute of Technology, Atlanta, GA, USA - Jiawei Zhou 0003
— Hong Kong University of Science and Technology - Jiawei Zhou 0004 — ETH Zurich, Switzerland (and 1 more)
- Jiawei Zhou 0005
— Shanghai Jiao Tong University, Shanghai, China - Jiawei Zhou 0006
— ? - Jiawei Zhou 0007
— Jiangsu University, Zhenjiang, China - Jiawei Zhou 0008
— China University of Geosciences, Wuhan, Hubei, China - Jiawei Zhou 0009
— Wuhan University, Wuhan, Hubei, China - Jiawei Zhou 0010
— Beijing University of Posts and Telecommunications, Beijing, China - Jiawei Zhou 0011
— Wenzhou Medical University, Wenzhou, Zhejiang, China - Jiawei Zhou 0013
— Harbin Institute of Technology, Harbin, USA - Jiawei Zhou 0014
— Southeast University, Nanjing, China
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2020 – today
- 2026
[c7]Satwik Ram Kodandaram
, Jiawei Zhou
, Xiaojun Bi
, I. V. Ramakrishnan
, Vikas Ashok
:
Finding the Signal in the Noise: An Exploratory Study on Assessing the Effectiveness of AI and Accessibility Forums for Blind Users' Support Needs. CHI 2026: 1243:1-1243:20
[c6]Monalika Padma Reddy
, Aruna Balasubramanian
, Jiawei Zhou
, Xiaojun Bi
, I. V. Ramakrishnan
, Vikas Ashok
:
Lost in Instructions: Study of Blind Users' Experiences with DIY Manuals and AI-Rewritten Instructions for Assembly, Operation, and Troubleshooting of Tangible Products. CHI 2026: 1247:1-1247:28
[i5]Satwik Ram Kodandaram, Jiawei Zhou, Xiaojun Bi, I. V. Ramakrishnan, Vikas Ashok:
Finding the Signal in the Noise: An Exploratory Study on Assessing the Effectiveness of AI and Accessibility Forums for Blind Users' Support Needs. CoRR abs/2602.18623 (2026)
[i4]Monalika Padma Reddy, Aruna Balasubramanian, Jiawei Zhou, Xiaojun Bi, I. V. Ramakrishnan, Vikas Ashok:
Lost in Instructions: Study of Blind Users' Experiences with DIY Manuals and AI-Rewritten Instructions for Assembly, Operation, and Troubleshooting of Tangible Products. CoRR abs/2602.18630 (2026)- 2025
[c5]An Luo, Xun Xian, Jin Du, Fangqiao Tian, Ganghua Wang, Ming Zhong, Shengchun Zhao, Xuan Bi, Zirui Liu, Jiawei Zhou, Jayanth Srinivasa, Ashish Kundu, Charles Fleming, Mingyi Hong, Jie Ding:
AssistedDS: Benchmarking How External Domain Knowledge Assists LLMs in Automated Data Science. EMNLP (Findings) 2025: 18017-18060
[c4]Xinran Wang, Jin Du, Azal Ahmad Khan, Qi Le, Enmao Diao, Jiawei Zhou, Jie Ding, Ali Anwar:
Beyond Expectations: Quantile-Guided Alignment for Risk-Calibrated Language Models. NeurIPS 2025
[c3]Zhaodong Wang
, Samuel Lin
, Guanqing Yan
, Soudeh Ghorbani
, Minlan Yu
, Jiawei Zhou
, Nathan Hu, Lopa Baruah
, Sam Peters, Srikanth Kamath, Jerry Yang, Ying Zhang:
Intent-Driven Network Management with Multi-Agent LLMs: The Confucius Framework. SIGCOMM 2025: 347-362
[i3]Fangqiao Tian, An Luo, Jin Du, Xun Xian, Robert Specht, Ganghua Wang, Xuan Bi, Jiawei Zhou, Jayanth Srinivasa, Ashish Kundu, Charles Fleming, Rui Zhang, Zirui Liu, Mingyi Hong, Jie Ding:
An Outlook on the Opportunities and Challenges of Multi-Agent AI Systems. CoRR abs/2505.18397 (2025)
[i2]An Luo, Xun Xian, Jin Du, Fangqiao Tian, Ganghua Wang, Ming Zhong, Shengchun Zhao, Xuan Bi, Zirui Liu, Jiawei Zhou, Jayanth Srinivasa, Ashish Kundu, Charles Fleming, Mingyi Hong, Jie Ding:
AssistedDS: Benchmarking How External Domain Knowledge Assists LLMs in Automated Data Science. CoRR abs/2506.13992 (2025)- 2021
[j2]Jie Ding
, Enmao Diao, Jiawei Zhou
, Vahid Tarokh
:
On Statistical Efficiency in Learning. IEEE Trans. Inf. Theory 67(4): 2488-2506 (2021)- 2020
[i1]Jie Ding, Enmao Diao, Jiawei Zhou, Vahid Tarokh:
On Statistical Efficiency in Learning. CoRR abs/2012.13307 (2020)
2010 – 2019
- 2019
[j1]Jie Ding
, Jiawei Zhou
, Vahid Tarokh
:
Asymptotically Optimal Prediction for Time-Varying Data Generating Processes. IEEE Trans. Inf. Theory 65(5): 3034-3067 (2019)- 2018
[c2]Jie Ding, Enmao Diao
, Jiawei Zhou, Vahid Tarokh:
A Penalized Method for the Predictive Limit of Learning. ICASSP 2018: 4414-4418- 2017
[c1]Jie Ding, Jiawei Zhou, Vahid Tarokh:
Optimal prediction of data with unknown abrupt change points. GlobalSIP 2017: 928-932
Coauthor Index

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last updated on 2026-06-24 00:30 CEST by the dblp team
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