Furui Liu

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 66

Top Topics

Weakly Supervised

Reinforcement Learning

Top Venues

Publications

Bowen Wang, Chen Liang, Jiaze Wang, Jiezhong Qiu, Furui Liu, Shaogang Hao, Dong Li, Guangyong Chen, Xiaolong Zou, Pheng-Ann Heng
DR-Label: Label Deconstruction and Reconstruction of GNN Models for Catalysis Systems. AAAI (2024)
Jiaze Wang, Hao Chen, Hongcan Xu, Jinpeng Li, Bowen Wang, Kun Shao, Furui Liu, Huaxi Chen, Guangyong Chen, Pheng-Ann Heng
SFANet: Spatial-Frequency Attention Network for Weather Forecasting. CoRR (2024)
Hao Wei, Peilun Shi, Juzheng Miao, Mingqin Zhang, Guitao Bai, Jianing Qiu, Furui Liu, Wu Yuan
CauDR: A causality-inspired domain generalization framework for fundus-based diabetic retinopathy grading. Comput. Biol. Medicine 175 (2024)
Ruichu Cai, Yuxuan Zhu, Jie Qiao, Zefeng Liang, Furui Liu, Zhifeng Hao
Where and How to Attack? A Causality-Inspired Recipe for Generating Counterfactual Adversarial Examples. AAAI (2024)
Qingming Li, Juzheng Miao, Puning Zhao, Li Zhou, Shouling Ji, Bowen Zhou, Furui Liu
Emulating Full Client Participation: A Long-Term Client Selection Strategy for Federated Learning. CoRR (2024)
Yang Yu, Danruo Deng, Furui Liu, Qi Dou, Yueming Jin, Guangyong Chen, Pheng-Ann Heng
ANEDL: Adaptive Negative Evidential Deep Learning for Open-Set Semi-supervised Learning. AAAI (2024)
Ming Yang, Kaiyan Zhao, Yiming Wang, Renzhi Dong, Yali Du, Furui Liu, Mingliang Zhou, Leong Hou U
Team-wise effective communication in multi-agent reinforcement learning. Auton. Agents Multi Agent Syst. 38 (2) (2024)
Mengyue Yang, Xinyu Cai, Furui Liu, Weinan Zhang, Jun Wang
Specify Robust Causal Representation from Mixed Observations. KDD (2023)
Juzheng Miao, Cheng Chen, Furui Liu, Hao Wei, Pheng-Ann Heng
CauSSL: Causality-inspired Semi-supervised Learning for Medical Image Segmentation. ICCV (2023)
Zheyan Shen, Han Yu, Peng Cui, Jiashuo Liu, Xingxuan Zhang, Linjun Zhou, Furui Liu
Meta Adaptive Task Sampling for Few-Domain Generalization. CoRR (2023)
Danruo Deng, Guangyong Chen, Yang Yu, Furui Liu, Pheng-Ann Heng
Uncertainty Estimation by Fisher Information-based Evidential Deep Learning. CoRR (2023)
Mengyue Yang, Yonggang Zhang, Zhen Fang, Yali Du, Furui Liu, Jean-Francois Ton, Jianhong Wang, Jun Wang
Invariant Learning via Probability of Sufficient and Necessary Causes. NeurIPS (2023)
Anpeng Wu, Kun Kuang, Ruoxuan Xiong, Minqing Zhu, Yuxuan Liu, Bo Li, Furui Liu, Zhihua Wang, Fei Wu
Learning Instrumental Variable from Data Fusion for Treatment Effect Estimation. AAAI (2023)
Yunqi Wang, Furui Liu, Zhitang Chen, Yik-Chung Wu, Jianye Hao, Guangyong Chen, Pheng-Ann Heng
Contrastive-ACE: Domain Generalization Through Alignment of Causal Mechanisms. IEEE Trans. Image Process. 32 (2023)
Ming Yang, Renzhi Dong, Yiming Wang, Furui Liu, Yali Du, Mingliang Zhou, Leong Hou U
TieComm: Learning a Hierarchical Communication Topology Based on Tie Theory. DASFAA (1) (2023)
Yang Yu, Danruo Deng, Furui Liu, Yueming Jin, Qi Dou, Guangyong Chen, Pheng-Ann Heng
Adaptive Negative Evidential Deep Learning for Open-set Semi-supervised Learning. CoRR (2023)
Hao Chen, Jiaze Wang, Kun Shao, Furui Liu, Jianye Hao, Chenyong Guan, Guangyong Chen, Pheng-Ann Heng
Traj-MAE: Masked Autoencoders for Trajectory Prediction. ICCV (2023)
Jinpeng Li, Hanqun Cao, Jiaze Wang, Furui Liu, Qi Dou, Guangyong Chen, Pheng-Ann Heng
Learning Robust Classifier for Imbalanced Medical Image Dataset with Noisy Labels by Minimizing Invariant Risk. MICCAI (6) (2023)
Ruichu Cai, Yuxuan Zhu, Jie Qiao, Zefeng Liang, Furui Liu, Zhifeng Hao
Where and How to Attack? A Causality-Inspired Recipe for Generating Counterfactual Adversarial Examples. CoRR (2023)
Hao Wei, Peilun Shi, Juzheng Miao, Minqing Zhang, Guitao Bai, Jianing Qiu, Furui Liu, Wu Yuan
CauDR: A Causality-inspired Domain Generalization Framework for Fundus-based Diabetic Retinopathy Grading. CoRR (2023)
Mengyue Yang, Guohao Cai, Furui Liu, Jiarui Jin, Zhenhua Dong, Xiuqiang He, Jianye Hao, Weiqi Shao, Jun Wang, Xu Chen
Debiased Recommendation with User Feature Balancing. ACM Trans. Inf. Syst. 41 (4) (2023)
Qi Tian, Kun Kuang, Furui Liu, Baoxiang Wang
Learning from Good Trajectories in Offline Multi-Agent Reinforcement Learning. AAAI (2023)
Yiming Wang, Ming Yang, Renzhi Dong, Binbin Sun, Furui Liu, Leong Hou U
Efficient Potential-based Exploration in Reinforcement Learning using Inverse Dynamic Bisimulation Metric. NeurIPS (2023)
Jinpeng Li, Hanqun Cao, Jiaze Wang, Furui Liu, Qi Dou, Guangyong Chen, Pheng-Ann Heng
Fast Non-Markovian Diffusion Model for Weakly Supervised Anomaly Detection in Brain MR Images. MICCAI (5) (2023)
Bowen Wang, Chen Liang, Jiaze Wang, Furui Liu, Shaogang Hao, Dong Li, Jianye Hao, Guangyong Chen, Xiaolong Zou, Pheng-Ann Heng
DR-Label: Improving GNN Models for Catalysis Systems by Label Deconstruction and Reconstruction. CoRR (2023)
Odin Zhang, Jintu Zhang, Jieyu Jin, Xujun Zhang, Renling Hu, Chao Shen, Hanqun Cao, Hongyan Du, Yu Kang, Yafeng Deng, Furui Liu, Guangyong Chen, Chang-Yu Hsieh, Tingjun Hou
ResGen is a pocket-aware 3D molecular generation model based on parallel multiscale modelling. Nat. Mac. Intell. 5 (9) (2023)
Zhenhua Yu, Furui Liu, Fangyuan Shi, Fang Du
rcCAE: a convolutional autoencoder method for detecting intra-tumor heterogeneity and single-cell copy number alterations. Briefings Bioinform. 24 (3) (2023)
Danruo Deng, Guangyong Chen, Yang Yu, Furui Liu, Pheng-Ann Heng
Uncertainty Estimation by Fisher Information-based Evidential Deep Learning. ICML (2023)
Hao Chen, Jiaze Wang, Kun Shao, Furui Liu, Jianye Hao, Chenyong Guan, Guangyong Chen, Pheng-Ann Heng
Traj-MAE: Masked Autoencoders for Trajectory Prediction. CoRR (2023)
Mengyue Yang, Zhen Fang, Yonggang Zhang, Yali Du, Furui Liu, Jean-Francois Ton, Jun Wang
Invariant Learning via Probability of Sufficient and Necessary Causes. CoRR (2023)
Donghao Zhou, Chunbin Gu, Junde Xu, Furui Liu, Qiong Wang, Guangyong Chen, Pheng-Ann Heng
RepMode: Learning to Re-Parameterize Diverse Experts for Subcellular Structure Prediction. CVPR (2023)
Mengyue Yang, Xinyu Cai, Furui Liu, Weinan Zhang, Jun Wang
Specify Robust Causal Representation from Mixed Observations. CoRR (2023)
Xujun Zhang, Odin Zhang, Chao Shen, Wanglin Qu, Shicheng Chen, Hanqun Cao, Yu Kang, Zhe Wang, Ercheng Wang, Jintu Zhang, Yafeng Deng, Furui Liu, Tianyue Wang, Hongyan Du, Langcheng Wang, Peichen Pan, Guangyong Chen, Chang-Yu Hsieh, Tingjun Hou
Efficient and accurate large library ligand docking with KarmaDock. Nat. Comput. Sci. 3 (9) (2023)
Alexander I. Cowen-Rivers, Philip John Gorinski, Aivar Sootla, Asif Khan, Furui Liu, Jun Wang, Jan Peters, Haitham Bou-Ammar
Structured Q-learning For Antibody Design. CoRR (2022)
Xinwei Shen, Furui Liu, Hanze Dong, Qing Lian, Zhitang Chen, Tong Zhang
Weakly Supervised Disentangled Generative Causal Representation Learning. J. Mach. Learn. Res. 23 (2022)
Donghao Zhou, Chunbin Gu, Junde Xu, Furui Liu, Qiong Wang, Guangyong Chen, Pheng-Ann Heng
RepMode: Learning to Re-parameterize Diverse Experts for Subcellular Structure Prediction. CoRR (2022)
Shuang Luo, Yinchuan Li, Jiahui Li, Kun Kuang, Furui Liu, Yunfeng Shao, Chao Wu
S2RL: Do We Really Need to Perceive All States in Deep Multi-Agent Reinforcement Learning? CoRR (2022)
Mengyue Yang, Guohao Cai, Furui Liu, Zhenhua Dong, Xiuqiang He, Jianye Hao, Jun Wang, Xu Chen
Debiased Recommendation with User Feature Balancing. CoRR (2022)
Zeren Huang, Wenhao Chen, Weinan Zhang, Chuhan Shi, Furui Liu, Hui-Ling Zhen, Mingxuan Yuan, Jianye Hao, Yong Yu, Jun Wang
Branch Ranking for Efficient Mixed-Integer Programming via Offline Ranking-based Policy Learning. CoRR (2022)
Jiahui Li, Kun Kuang, Baoxiang Wang, Furui Liu, Long Chen, Changjie Fan, Fei Wu, Jun Xiao
Deconfounded Value Decomposition for Multi-Agent Reinforcement Learning. ICML (2022)
Qi Tian, Kun Kuang, Kelu Jiang, Furui Liu, Zhihua Wang, Fei Wu
ConfounderGAN: Protecting Image Data Privacy with Causal Confounder. NeurIPS (2022)
Qi Tian, Kun Kuang, Kelu Jiang, Furui Liu, Zhihua Wang, Fei Wu
ConfounderGAN: Protecting Image Data Privacy with Causal Confounder. CoRR (2022)
Zeren Huang, Wenhao Chen, Weinan Zhang, Chuhan Shi, Furui Liu, Hui-Ling Zhen, Mingxuan Yuan, Jianye Hao, Yong Yu, Jun Wang
Branch Ranking for Efficient Mixed-Integer Programming via Offline Ranking-Based Policy Learning. ECML/PKDD (5) (2022)
Mengyue Yang, Xinyu Cai, Furui Liu, Xu Chen, Zhitang Chen, Jianye Hao, Jun Wang
Generalizable Information Theoretic Causal Representation. CoRR (2022)
Zeren Huang, Kerong Wang, Furui Liu, Hui-Ling Zhen, Weinan Zhang, Mingxuan Yuan, Jianye Hao, Yong Yu, Jun Wang
Learning to select cuts for efficient mixed-integer programming. Pattern Recognit. 123 (2022)
Anpeng Wu, Kun Kuang, Ruoxuan Xiong, Minqing Zhu, Yuxuan Liu, Bo Li, Furui Liu, Zhihua Wang, Fei Wu
Treatment Effect Estimation with Unmeasured Confounders in Data Fusion. CoRR (2022)
Shuang Luo, Yinchuan Li, Jiahui Li, Kun Kuang, Furui Liu, Yunfeng Shao, Chao Wu
S2RL: Do We Really Need to Perceive All States in Deep Multi-Agent Reinforcement Learning? KDD (2022)
Qi Tian, Kun Kuang, Furui Liu, Baoxiang Wang
Learning From Good Trajectories in Offline Multi-Agent Reinforcement Learning. CoRR (2022)
Mengyue Yang, Furui Liu, Zhitang Chen, Xinwei Shen, Jianye Hao, Jun Wang
CausalVAE: Disentangled Representation Learning via Neural Structural Causal Models. CVPR (2021)
Jiahui Li, Kun Kuang, Baoxiang Wang, Furui Liu, Long Chen, Fei Wu, Jun Xiao
Shapley Counterfactual Credits for Multi-Agent Reinforcement Learning. KDD (2021)
Qi Tian, Kun Kuang, Baoxiang Wang, Furui Liu, Fei Wu
Multi-agent Communication with Graph Information Bottleneck under Limited Bandwidth. CoRR (2021)
Jiahui Li, Kun Kuang, Baoxiang Wang, Furui Liu, Long Chen, Fei Wu, Jun Xiao
Shapley Counterfactual Credits for Multi-Agent Reinforcement Learning. CoRR (2021)
Zeren Huang, Kerong Wang, Furui Liu, Hui-Ling Zhen, Weinan Zhang, Mingxuan Yuan, Jianye Hao, Yong Yu, Jun Wang
Learning to Select Cuts for Efficient Mixed-Integer Programming. CoRR (2021)
Yue He, Peng Cui, Zheyan Shen, Renzhe Xu, Furui Liu, Yong Jiang
DARING: Differentiable Causal Discovery with Residual Independence. KDD (2021)
Yunqi Wang, Furui Liu, Zhitang Chen, Qing Lian, Shoubo Hu, Jianye Hao, Yik-Chung Wu
Contrastive ACE: Domain Generalization Through Alignment of Causal Mechanisms. CoRR (2021)
Yifei Wang, Dan Peng, Furui Liu, Zhenguo Li, Zhitang Chen, Jiansheng Yang
Decoder-free Robustness Disentanglement without (Additional) Supervision. CoRR (2020)
Minne Li, Mengyue Yang, Furui Liu, Xu Chen, Zhitang Chen, Jun Wang
Causal World Models by Unsupervised Deconfounding of Physical Dynamics. CoRR (2020)
Xinwei Shen, Furui Liu, Hanze Dong, Qing Lian, Zhitang Chen, Tong Zhang
Disentangled Generative Causal Representation Learning. CoRR (2020)
Mengyue Yang, Furui Liu, Zhitang Chen, Xinwei Shen, Jianye Hao, Jun Wang
CausalVAE: Structured Causal Disentanglement in Variational Autoencoder. CoRR (2020)
Furui Liu, Laiwan Chan
Confounder Detection in High Dimensional Linear Models using First Moments of Spectral Measures. CoRR (2018)
Furui Liu, Laiwan Chan
Causal Inference on Discrete Data via Estimating Distance Correlations. CoRR (2018)
Furui Liu, Laiwan Chan
Confounder Detection in High-Dimensional Linear Models Using First Moments of Spectral Measures. Neural Comput. 30 (8) (2018)
Furui Liu, Lai-Wan Chan
Causal Inference on Multidimensional Data Using Free Probability Theory. IEEE Trans. Neural Networks Learn. Syst. 29 (7) (2018)
Furui Liu, Laiwan Chan
On the Relations of Theoretical Foundations of Different Causal Inference Algorithms. IDEAL (2017)
Furui Liu, Laiwan Chan
Causal Discovery on Discrete Data with Extensions to Mixture Model. ACM Trans. Intell. Syst. Technol. 7 (2) (2016)
Furui Liu, Laiwan Chan
Causal Inference on Discrete Data via Estimating Distance Correlations. Neural Comput. 28 (5) (2016)
Yu Zheng, Furui Liu, Hsun-Ping Hsieh
U-Air: when urban air quality inference meets big data. KDD (2013)
Furui Liu
Dual Locality Preserving Nonnegative Matrix Factorization for image analysis. GrC (2012)
Furui Liu, Xiyan Liu
Unsupervised Feature Selection for Multi-cluster Data via Smooth Distributed Score. ICIC (3) (2012)