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Story Shaping: Teaching Agents Human-like Behavior with Stories


Jan 24, 2023
Xiangyu Peng, Christopher Cui, Wei Zhou, Renee Jia, Mark Riedl

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Neuro-Symbolic World Models for Adapting to Open World Novelty


Jan 16, 2023
Jonathan Balloch, Zhiyu Lin, Robert Wright, Xiangyu Peng, Mustafa Hussain, Aarun Srinivas, Julia Kim, Mark O. Riedl

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* 9 pages, 8 figures, Extended Abstract accepted for presentation at AAMAS 2023 

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Model ensemble instead of prompt fusion: a sample-specific knowledge transfer method for few-shot prompt tuning


Oct 23, 2022
Xiangyu Peng, Chen Xing, Prafulla Kumar Choubey, Chien-Sheng Wu, Caiming Xiong

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Divide to Adapt: Mitigating Confirmation Bias for Domain Adaptation of Black-Box Predictors


May 28, 2022
Jianfei Yang, Xiangyu Peng, Kai Wang, Zheng Zhu, Jiashi Feng, Lihua Xie, Yang You

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* A black-box model adaptation approach that proposes divide-to-adapt to suppress the confirmation bias 

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FaceMAE: Privacy-Preserving Face Recognition via Masked Autoencoders


May 23, 2022
Kai Wang, Bo Zhao, Xiangyu Peng, Zheng Zhu, Jiankang Deng, Xinchao Wang, Hakan Bilen, Yang You

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* A new paradigm for privacy-preserving face recognition via MAE 

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Reliable Label Correction is a Good Booster When Learning with Extremely Noisy Labels


Apr 30, 2022
Kai Wang, Xiangyu Peng, Shuo Yang, Jianfei Yang, Zheng Zhu, Xinchao Wang, Yang You

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* LC-Booster is an efficient method for LNL problems 

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CAFE: Learning to Condense Dataset by Aligning Features


Mar 27, 2022
Kai Wang, Bo Zhao, Xiangyu Peng, Zheng Zhu, Shuo Yang, Shuo Wang, Guan Huang, Hakan Bilen, Xinchao Wang, Yang You

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* The manuscript has been accepted by CVPR-2022! 

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NovGrid: A Flexible Grid World for Evaluating Agent Response to Novelty


Mar 23, 2022
Jonathan Balloch, Zhiyu Lin, Mustafa Hussain, Aarun Srinivas, Robert Wright, Xiangyu Peng, Julia Kim, Mark Riedl

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* 7 pages, 4 figures, AAAI Spring Symposium 2022 on Designing Artificial Intelligence for Open Worlds (Long Oral) 

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XFBoost: Improving Text Generation with Controllable Decoders


Feb 16, 2022
Xiangyu Peng, Michael Sollami

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