Paul Weng | Welcome

News:

Openings for postdocs or research associates: If you're interested in my research, please send me an email in English with your CV.

Jan. 2024: one paper accepted at ICLR 2024
Jan. 2024: I have moved to DKU
Nov. 2023: I will serve as an area chair for ECAI 2024
Jul. 2023: one paper accepted at ECAI 2023
Jun. 2023: one paper accepted at ECML/PKDD 2023
Jun. 2023: one paper accepted at TMLR
Jun. 2023: We received the best paper award at ALA 2023
Jun. 2023: We got funded by NetEase to work on RL from human feedback
May 2023: I will serve as an area chair for AAAI 2024
Mar. 2023: one paper accepted at ALA 2023
Mar. 2023: one paper accepted at LION 2023
Jan. 2023: one paper accepted at AAMAS 2023
Sep. 2022: one paper accepted at CORL 2022
Sep. 2022: one paper accepted at ACML 2022
Jul. 2022: I will serve as a senior PC member for AAAI 2023
May 2022: one paper accepted at ICML 2022
Nov. 2021: one paper accepted at International Journal of Production Research
Nov. 2021: one paper accepted at DAI 2021
Oct. 2021: one paper accepted at ADPRL 2021
Aug. 2021: We got funded by NSFC to work on exploiting equivariance in deep RL
Jul. 2021: I will serve as a senior PC member for AAAI 2022
May 2021: one paper accepted at ICML 2021
Feb. 2021: one paper accepted at ICRA 2021
Aug. 2020: I will serve as a senior PC member for AAAI 2021
Aug. 2020: I will serve as a senior PC member for IJCAI 2021
Jul. 2020: one paper accepted at IROS 2020
Jun. 2020: We got funded by Huawei to work on interpretable RL
Jun. 2020: one paper accepted at ICML 2020
May. 2020: our survey chapter on reinforcement learning published in A Guided Tour of Artificial Intelligence Research
Dec. 2019: I will serve as a PC member for JFPDA 2020
Oct. 2019: I will serve as a PC member for ECAI 2020
Oct. 2019: I was invited to give a talk at AWRL 2019
Oct. 2019: I will serve as a senior PC member for IJCAI 2020
Aug. 2019: I will serve as a reviewer for AISTATS 2020
Aug. 2019: one paper accepted at DAI 2019
Aug. 2019: We got funded by Yahoo Research.

Paul Weng (CV)

Associate Professor at Duke Kunshan University (DKU)

I am currently recruiting research assistants and post-docs to work with me at DKU in Kunshan, China. 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.