| 2026 | AAAI | DSAP: Enhancing Generalization in Goal-Conditioned Reinforcement Learning. | Yiming Wang, Kaiyan Zhao, Ming Yang, Yan Li, Furui Liu, Jiayu Chen, Leong Hou U |
| 2026 | ACL | AIPO: Adaptive Information Guided Token-Level Reinforcement Learning for Large Language Model Reasoning. | Bin Chen, Hongfei Ye, Huiyang Wang, Wenxi Liu, Yu Zhang, Furui Liu |
| 2025 | ECAI | DiTAC: Discrete Teamwork Abstraction for Ad Hoc Collaboration. | Jing Wang, Pengjie Gu, Mengchen Zhao, Guangyong Chen, Furui Liu, Pheng-Ann Heng |
| 2024 | AAAI | 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 |
| 2024 | AAAI | 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 |
| 2024 | AAAI | 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 |
| 2023 | AAAI | Learning from Good Trajectories in Offline Multi-Agent Reinforcement Learning. | Qi Tian, Kun Kuang, Furui Liu, Baoxiang Wang |
| 2023 | AAAI | 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 |
| 2023 | CVPR | 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 |
| 2023 | DASFAA | TieComm: Learning a Hierarchical Communication Topology Based on Tie Theory. | Ming Yang, Renzhi Dong, Yiming Wang, Furui Liu, Yali Du, Mingliang Zhou, Leong Hou U |
| 2023 | ICCV | Traj-MAE: Masked Autoencoders for Trajectory Prediction. | Hao Chen, Jiaze Wang, Kun Shao, Furui Liu, Jianye Hao, Chenyong Guan, Guangyong Chen, Pheng-Ann Heng |
| 2023 | ICCV | CauSSL: Causality-inspired Semi-supervised Learning for Medical Image Segmentation. | Juzheng Miao, Cheng Chen, Furui Liu, Hao Wei, Pheng-Ann Heng |
| 2023 | ICML | Uncertainty Estimation by Fisher Information-based Evidential Deep Learning. | Danruo Deng, Guangyong Chen, Yang Yu, Furui Liu, Pheng-Ann Heng |
| 2023 | KDD | Specify Robust Causal Representation from Mixed Observations. | Mengyue Yang, Xinyu Cai, Furui Liu, Weinan Zhang, Jun Wang |
| 2023 | MICCAI | Fast Non-Markovian Diffusion Model for Weakly Supervised Anomaly Detection in Brain MR Images. | Jinpeng Li, Hanqun Cao, Jiaze Wang, Furui Liu, Qi Dou, Guangyong Chen, Pheng-Ann Heng |
| 2023 | MICCAI | Learning Robust Classifier for Imbalanced Medical Image Dataset with Noisy Labels by Minimizing Invariant Risk. | Jinpeng Li, Hanqun Cao, Jiaze Wang, Furui Liu, Qi Dou, Guangyong Chen, Pheng-Ann Heng |
| 2022 | ICML | Deconfounded Value Decomposition for Multi-Agent Reinforcement Learning. | Jiahui Li, Kun Kuang, Baoxiang Wang, Furui Liu, Long Chen, Changjie Fan, Fei Wu, Jun Xiao |
| 2022 | KDD | S2RL: Do We Really Need to Perceive All States in Deep Multi-Agent Reinforcement Learning? | Shuang Luo, Yinchuan Li, Jiahui Li, Kun Kuang, Furui Liu, Yunfeng Shao, Chao Wu |
| 2021 | CVPR | CausalVAE: Disentangled Representation Learning via Neural Structural Causal Models. | Mengyue Yang, Furui Liu, Zhitang Chen, Xinwei Shen, Jianye Hao, Jun Wang |
| 2021 | KDD | DARING: Differentiable Causal Discovery with Residual Independence. | Yue He, Peng Cui, Zheyan Shen, Renzhe Xu, Furui Liu, Yong Jiang |
| 2021 | KDD | Shapley Counterfactual Credits for Multi-Agent Reinforcement Learning. | Jiahui Li, Kun Kuang, Baoxiang Wang, Furui Liu, Long Chen, Fei Wu, Jun Xiao |
| 2017 | IDEAL | On the Relations of Theoretical Foundations of Different Causal Inference Algorithms. | Furui Liu, Laiwan Chan |
| 2013 | KDD | U-Air: when urban air quality inference meets big data. | Yu Zheng, Furui Liu, Hsun-Ping Hsieh |
| 2012 | GRC | Dual Locality Preserving Nonnegative Matrix Factorization for image analysis. | Furui Liu |