ChengHui Yu

15 papers A* 3A 2Journal 7Unranked 3
YearRankTypeTitle / Venue / Authors
2026 A* conf
Towards Responsible Recommendations: A Daily Updated Ranking Model for Content Issue Detection.
WWW
Haoze Wu, ChengHui Yu, Bingfeng Deng, Daniel Chen
2026 A* conf
When Rules Fall Short: Agent-Driven Discovery of Emerging Content Issues in Short Video Platforms.
WWW
ChengHui Yu, Hongwei Wang, Junwen Chen, Zixuan Wang, Bingfeng Deng, Zhuolin Hao, Hongyu Xiong, Yang Song
2026 J jnl
When Rules Fall Short: Agent-Driven Discovery of Emerging Content Issues in Short Video Platforms.
CoRR
ChengHui Yu, Hongwei Wang, Junwen Chen, Zixuan Wang, Bingfeng Deng, Zhuolin Hao, Hongyu Xiong, Yang Song
2025 A conf
Unified Survey Modeling to Limit Negative User Experiences in Recommendation Systems.
RecSys
ChengHui Yu, Haoze Wu, Jian Ding, Bingfeng Deng, Hongyu Xiong
2024 J jnl
USM: Unbiased Survey Modeling for Limiting Negative User Experiences in Recommendation Systems.
CoRR
ChengHui Yu, Peiyi Li, Haoze Wu, Bingfeng Deng, Hongyu Xiong
2023 A conf
Benchmarking Robustness and Generalization in Multi-Agent Systems: A Case Study on Neural MMO.
AAMAS
Yangkun Chen, Joseph Suarez, Junjie Zhang, ChengHui Yu, Bo Wu, Hanmo Chen, Hengman Zhu, Rui Du, Shanliang Qian, Shuai Liu, Weijun Hong, Jinke He, Yibing Zhang, Liang Zhao, Clare Zhu, Julian Togelius, Sharada P. Mohanty, Jiaxin Chen, Xiu Li, Xiaolong Zhu, Phillip Isola
2023 J jnl
Benchmarking Robustness and Generalization in Multi-Agent Systems: A Case Study on Neural MMO.
CoRR
Yangkun Chen, Joseph Suarez, Junjie Zhang, ChengHui Yu, Bo Wu, Hanmo Chen, Hengman Zhu, Rui Du, Shanliang Qian, Shuai Liu, Weijun Hong, Jinke He, Yibing Zhang, Liang Zhao, Clare Zhu, Julian Togelius, Sharada P. Mohanty, Jiaxin Chen, Xiu Li, Xiaolong Zhu, Phillip Isola
2023 J jnl
Emergent collective intelligence from massive-agent cooperation and competition.
CoRR
Hanmo Chen, Stone Tao, Jiaxin Chen, Weihan Shen, Xihui Li, ChengHui Yu, Sikai Cheng, Xiaolong Zhu, Xiu Li
2023 A* conf
Neural MMO 2.0: A Massively Multi-task Addition to Massively Multi-agent Learning.
NeurIPS
Joseph Suarez, David Bloomin, Kyoung Whan Choe, Hao Xiang Li, Ryan Sullivan, Nishaanth Kanna, Daniel Scott, Rose S. Shuman, Herbie Bradley, Louis Castricato, Phillip Isola, ChengHui Yu, Yuhao Jiang, Qimai Li, Jiaxin Chen, Xiaolong Zhu
2022 J jnl
Assessing generalisability of deep learning-based polyp detection and segmentation methods through a computer vision challenge.
CoRR
Sharib Ali, Noha M. Ghatwary, Debesh Jha, Ece Isik-Polat, Gorkem Polat, Chen Yang, Wuyang Li, Adrian Galdran, Miguel Ángel González Ballester, Vajira Thambawita, Steven Hicks, Sahadev Poudel, Sang-Woong Lee, Ziyi Jin, Tianyuan Gan, ChengHui Yu, Jiangpeng Yan, Doyeob Yeo, Hyunseok Lee, Nikhil Kumar Tomar, Mahmood Haithami, Amr Ahmed, Michael A. Riegler, Christian Daul, Pål Halvorsen, Jens Rittscher, Osama E. Salem, Dominique Lamarque, Renato Cannizzaro, Stefano Realdon, Thomas de Lange, James E. East
2022 — conf
PRAG: Periodic Regularized Action Gradient for Efficient Continuous Control.
PRICAI (3)
Xihui Li, Zhongjian Qiao, Aicheng Gong, Jiafei Lyu, ChengHui Yu, Jiangpeng Yan, Xiu Li
2022 J jnl
Seeking Common Ground While Reserving Differences: Multiple Anatomy Collaborative Framework for Undersampled MRI Reconstruction.
CoRR
Jiangpeng Yan, ChengHui Yu, Hanbo Chen, Zhe Xu, Junzhou Huang, Xiu Li, Jianhua Yao
2022 J jnl
Towards Better Dermoscopic Image Feature Representation Learning for Melanoma Classification.
CoRR
ChengHui Yu, Mingkang Tang, ShengGe Yang, Mingqing Wang, Zhe Xu, Jiangpeng Yan, Hanmo Chen, Yu Yang, Xiao-Jun Zeng, Xiu Li
2021 — conf
Parallel Res2Net-based Network with ReverseAttention for Polyp Segmentation.
EndoCV@ISBI
ChengHui Yu, Jiangpeng Yan, Xiu Li
2021 — conf
Towards Better Dermoscopic Image Feature Representation Learning for Melanoma Classification.
ICONIP (4)
ChengHui Yu, Mingkang Tang, ShengGe Yang, Mingqing Wang, Zhe Xu, Jiangpeng Yan, Hanmo Chen, Yu Yang, Xiao-Jun Zeng, Xiu Li