Liu, Furui

17 publications

AAAI 2024 ANEDL: Adaptive Negative Evidential Deep Learning for Open-Set Semi-Supervised Learning Yang Yu, Danruo Deng, Furui Liu, Qi Dou, Yueming Jin, Guangyong Chen, Pheng-Ann Heng

AAAI 2024 DR-Label: Label Deconstruction and Reconstruction of GNN Models for Catalysis Systems Bowen Wang, Chen Liang, Jiaze Wang, Jiezhong Qiu, Furui Liu, Shaogang Hao, Dong Li, Guangyong Chen, Xiaolong Zou, Pheng-Ann Heng

NeurIPS 2024 Rethinking Exploration in Reinforcement Learning with Effective Metric-Based Exploration Bonus Yiming Wang, Kaiyan Zhao, Furui Liu, Leong Hou U

AAAI 2024 Where and How to Attack? a Causality-Inspired Recipe for Generating Counterfactual Adversarial Examples Ruichu Cai, Yuxuan Zhu, Jie Qiao, Zefeng Liang, Furui Liu, Zhifeng Hao

ICCV 2023 CauSSL: Causality-Inspired Semi-Supervised Learning for Medical Image Segmentation Juzheng Miao, Cheng Chen, Furui Liu, Hao Wei, Pheng-Ann Heng

NeurIPS 2023 Efficient Potential-Based Exploration in Reinforcement Learning Using Inverse Dynamic Bisimulation Metric Yiming Wang, Ming Yang, Renzhi Dong, Binbin Sun, Furui Liu, Leong Hou U

NeurIPS 2023 Invariant Learning via Probability of Sufficient and Necessary Causes Mengyue Yang, Zhen Fang, Yonggang Zhang, Yali Du, Furui Liu, Jean-Francois Ton, Jianhong Wang, Jun Wang

AAAI 2023 Learning Instrumental Variable from Data Fusion for Treatment Effect Estimation Anpeng Wu, Kun Kuang, Ruoxuan Xiong, Minqing Zhu, Yuxuan Liu, Bo Li, Furui Liu, Zhihua Wang, Fei Wu

AAAI 2023 Learning from Good Trajectories in Offline Multi-Agent Reinforcement Learning Qi Tian, Kun Kuang, Furui Liu, Baoxiang Wang

CVPR 2023 RepMode: Learning to Re-Parameterize Diverse Experts for Subcellular Structure Prediction Donghao Zhou, Chunbin Gu, Junde Xu, Furui Liu, Qiong Wang, Guangyong Chen, Pheng-Ann Heng

ICCV 2023 Traj-MAE: Masked Autoencoders for Trajectory Prediction Hao Chen, Jiaze Wang, Kun Shao, Furui Liu, Jianye Hao, Chenyong Guan, Guangyong Chen, Pheng-Ann Heng

ICML 2023 Uncertainty Estimation by Fisher Information-Based Evidential Deep Learning Danruo Deng, Guangyong Chen, Yang Yu, Furui Liu, Pheng-Ann Heng

ECML-PKDD 2022 Branch Ranking for Efficient Mixed-Integer Programming via Offline Ranking-Based Policy Learning Zeren Huang, Wenhao Chen, Weinan Zhang, Chuhan Shi, Furui Liu, Hui-Ling Zhen, Mingxuan Yuan, Jianye Hao, Yong Yu, Jun Wang

NeurIPS 2022 ConfounderGAN: Protecting Image Data Privacy with Causal Confounder Qi Tian, Kun Kuang, Kelu Jiang, Furui Liu, Zhihua Wang, Fei Wu

ICML 2022 Deconfounded Value Decomposition for Multi-Agent Reinforcement Learning Jiahui Li, Kun Kuang, Baoxiang Wang, Furui Liu, Long Chen, Changjie Fan, Fei Wu, Jun Xiao

JMLR 2022 Weakly Supervised Disentangled Generative Causal Representation Learning Xinwei Shen, Furui Liu, Hanze Dong, Qing Lian, Zhitang Chen, Tong Zhang

CVPR 2021 CausalVAE: Disentangled Representation Learning via Neural Structural Causal Models Mengyue Yang, Furui Liu, Zhitang Chen, Xinwei Shen, Jianye Hao, Jun Wang