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Paul Weng | Welcome
News:
- Openings for postdocs, PhD, master, or research associates: If you're interested in my research, please send me an email in English with your CV.
- Sep. 2025: one paper accepted in NeurIPS 2025
- Aug. 2025: I will serve as an area chair for ICLR 2026
- Aug. 2025: I will serve as an area chair for AAMAS 2026
- July 2025: one paper accepted at ACM MM 2025
- June 2025: I will serve as an area chair for AAAI 2026
- Jun-Jul 2025: I'll be an invited professor at Université Paris Dauphine-PSL
- May 2025: our survey paper on RLHF has been accepted in TMLR
- May 2025: one paper accepted at ICML 2025
- Apr. 2025: I'll be an invited speaker at ICASIS 2025
- Mar. 2025: one paper accepted in ACM TELO
- Jan. 2025: one paper accepted at ICLR 2025
- Jan. 2025: We got awarded the Shuangchuang talent program of Kunshan
- Dec. 2024: two papers accepted at AAAI 2025
- Nov. 2024: I will serve as an area chair for ECAI 2025
- Oct. 2024: one paper accepted in NCAA
- Sep. 2024: one paper accepted in the journal track of ACML 2024
- June 2024: one paper accepted at ICML 2024 Workshop MHFAIA
- May 2024: I will serve as an area chair for AAAI 2025
- May 2024: one paper accepted at ICML 2024
- Apr. 2024: I will serve as a co-chair for MIWAI 2024
- Apr. 2024: our survey paper on interpretable RL has been accepted in Machine Learning
- Jan. 2024: one paper accepted at ICLR 2024
- Jan. 2024: I have moved to DKU
Paul Weng (CV)
- Associate Professor at Duke Kunshan University (DKU)
I am currently recruiting research assistants, master, PhD, and post-docs to work with me at DKU in Kunshan, China.
Note that the master and PhD students would be officially enrolled in another university. If you have any questions, please send me an email with your CV.
- Contact
-
Duke Kunshan University
Office: IB 2032
8 Duke Avenue, Kunshan
Suzhou, 215316, P.R. China
Email: paul.weng [at] dukekunshan [dot] edu [dot] cn
Phone: +86-512-3665-7593
-
昆山杜克大学
IB 2032室
江苏省昆山市
杜克大道8号
邮政编码: 215316
- Keywords
- Artificial intelligence; Algorithmic Decision theory; Markov decision processes/reinforcement learning; Qualitative/ordinal decision-making; Multiobjective/multicriteria decision-making; Preference learning/elicitation.

