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Furui Liu
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2020 – today
- 2024
- [j13]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): 36 (2024) - [j12]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: 108459 (2024) - [c26]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: 11132-11140 - [c25]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: 15456-15465 - [c24]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: 16587-16595 - [i30]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 abs/2405.13584 (2024) - [i29]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 abs/2405.18849 (2024) - 2023
- [j11]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) - [j10]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): 1020-1030 (2023) - [j9]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): 789-804 (2023) - [j8]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: 235-250 (2023) - [j7]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): 114:1-114:25 (2023) - [c23]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: 10324-10332 - [c22]Qi Tian, Kun Kuang, Furui Liu, Baoxiang Wang:
Learning from Good Trajectories in Offline Multi-Agent Reinforcement Learning. AAAI 2023: 11672-11680 - [c21]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: 3312-3322 - [c20]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: 604-613 - [c19]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: 8317-8328 - [c18]Juzheng Miao, Cheng Chen, Furui Liu, Hao Wei, Pheng-Ann Heng:
CauSSL: Causality-inspired Semi-supervised Learning for Medical Image Segmentation. ICCV 2023: 21369-21380 - [c17]Danruo Deng, Guangyong Chen, Yang Yu, Furui Liu, Pheng-Ann Heng:
Uncertainty Estimation by Fisher Information-based Evidential Deep Learning. ICML 2023: 7596-7616 - [c16]Mengyue Yang
, Xinyu Cai
, Furui Liu
, Weinan Zhang
, Jun Wang
:
Specify Robust Causal Representation from Mixed Observations. KDD 2023: 2978-2987 - [c15]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: 306-316 - [c14]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: 579-589 - [c13]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 - [c12]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 - [i28]Danruo Deng, Guangyong Chen, Yang Yu, Furui Liu, Pheng-Ann Heng:
Uncertainty Estimation by Fisher Information-based Evidential Deep Learning. CoRR abs/2303.02045 (2023) - [i27]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 abs/2303.02875 (2023) - [i26]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 abs/2303.06697 (2023) - [i25]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 abs/2303.12091 (2023) - [i24]Zheyan Shen, Han Yu, Peng Cui, Jiashuo Liu, Xingxuan Zhang, Linjun Zhou, Furui Liu:
Meta Adaptive Task Sampling for Few-Domain Generalization. CoRR abs/2305.15644 (2023) - [i23]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 abs/2309.12559 (2023) - [i22]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 abs/2309.15493 (2023) - [i21]Mengyue Yang, Xinyu Cai, Furui Liu, Weinan Zhang, Jun Wang:
Specify Robust Causal Representation from Mixed Observations. CoRR abs/2310.13892 (2023) - [i20]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 abs/2312.13628 (2023) - 2022
- [j6]Xinwei Shen, Furui Liu, Hanze Dong, Qing Lian, Zhitang Chen, Tong Zhang:
Weakly Supervised Disentangled Generative Causal Representation Learning. J. Mach. Learn. Res. 23: 241:1-241:55 (2022) - [j5]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: 108353 (2022) - [c11]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: 12843-12856 - [c10]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: 1183-1191 - [c9]Qi Tian, Kun Kuang, Kelu Jiang, Furui Liu, Zhihua Wang, Fei Wu:
ConfounderGAN: Protecting Image Data Privacy with Causal Confounder. NeurIPS 2022 - [c8]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: 377-392 - [i19]Mengyue Yang, Guohao Cai, Furui Liu, Zhenhua Dong, Xiuqiang He, Jianye Hao, Jun Wang, Xu Chen:
Debiased Recommendation with User Feature Balancing. CoRR abs/2201.06056 (2022) - [i18]Mengyue Yang, Xinyu Cai, Furui Liu, Xu Chen, Zhitang Chen, Jianye Hao, Jun Wang:
Generalizable Information Theoretic Causal Representation. CoRR abs/2202.08388 (2022) - [i17]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 abs/2206.11054 (2022) - [i16]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 abs/2207.13701 (2022) - [i15]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 abs/2208.10912 (2022) - [i14]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 abs/2209.04698 (2022) - [i13]Qi Tian, Kun Kuang, Furui Liu, Baoxiang Wang:
Learning From Good Trajectories in Offline Multi-Agent Reinforcement Learning. CoRR abs/2211.15612 (2022) - [i12]Qi Tian, Kun Kuang, Kelu Jiang, Furui Liu, Zhihua Wang, Fei Wu:
ConfounderGAN: Protecting Image Data Privacy with Causal Confounder. CoRR abs/2212.01767 (2022) - [i11]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 abs/2212.10066 (2022) - 2021
- [c7]Mengyue Yang, Furui Liu, Zhitang Chen, Xinwei Shen, Jianye Hao, Jun Wang:
CausalVAE: Disentangled Representation Learning via Neural Structural Causal Models. CVPR 2021: 9593-9602 - [c6]Yue He, Peng Cui, Zheyan Shen, Renzhe Xu
, Furui Liu, Yong Jiang:
DARING: Differentiable Causal Discovery with Residual Independence. KDD 2021: 596-605 - [c5]Jiahui Li, Kun Kuang, Baoxiang Wang, Furui Liu, Long Chen
, Fei Wu, Jun Xiao:
Shapley Counterfactual Credits for Multi-Agent Reinforcement Learning. KDD 2021: 934-942 - [i10]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 abs/2105.13645 (2021) - [i9]Jiahui Li, Kun Kuang, Baoxiang Wang, Furui Liu, Long Chen, Fei Wu, Jun Xiao:
Shapley Counterfactual Credits for Multi-Agent Reinforcement Learning. CoRR abs/2106.00285 (2021) - [i8]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 abs/2106.00925 (2021) - [i7]Qi Tian, Kun Kuang, Baoxiang Wang, Furui Liu, Fei Wu:
Multi-agent Communication with Graph Information Bottleneck under Limited Bandwidth. CoRR abs/2112.10374 (2021) - 2020
- [i6]Mengyue Yang, Furui Liu, Zhitang Chen, Xinwei Shen, Jianye Hao, Jun Wang:
CausalVAE: Structured Causal Disentanglement in Variational Autoencoder. CoRR abs/2004.08697 (2020) - [i5]Yifei Wang, Dan Peng, Furui Liu, Zhenguo Li, Zhitang Chen, Jiansheng Yang:
Decoder-free Robustness Disentanglement without (Additional) Supervision. CoRR abs/2007.01356 (2020) - [i4]Xinwei Shen, Furui Liu, Hanze Dong, Qing Lian, Zhitang Chen, Tong Zhang:
Disentangled Generative Causal Representation Learning. CoRR abs/2010.02637 (2020) - [i3]Minne Li, Mengyue Yang, Furui Liu, Xu Chen, Zhitang Chen, Jun Wang:
Causal World Models by Unsupervised Deconfounding of Physical Dynamics. CoRR abs/2012.14228 (2020)
2010 – 2019
- 2018
- [j4]Furui Liu, Laiwan Chan:
Confounder Detection in High-Dimensional Linear Models Using First Moments of Spectral Measures. Neural Comput. 30(8) (2018) - [j3]Furui Liu
, Lai-Wan Chan:
Causal Inference on Multidimensional Data Using Free Probability Theory. IEEE Trans. Neural Networks Learn. Syst. 29(7): 3188-3198 (2018) - [i2]Furui Liu, Laiwan Chan:
Confounder Detection in High Dimensional Linear Models using First Moments of Spectral Measures. CoRR abs/1803.06852 (2018) - [i1]Furui Liu, Laiwan Chan:
Causal Inference on Discrete Data via Estimating Distance Correlations. CoRR abs/1803.07712 (2018) - 2017
- [c4]Furui Liu, Laiwan Chan:
On the Relations of Theoretical Foundations of Different Causal Inference Algorithms. IDEAL 2017: 112-119 - 2016
- [j2]Furui Liu, Laiwan Chan:
Causal Inference on Discrete Data via Estimating Distance Correlations. Neural Comput. 28(5): 801-814 (2016) - [j1]Furui Liu, Laiwan Chan:
Causal Discovery on Discrete Data with Extensions to Mixture Model. ACM Trans. Intell. Syst. Technol. 7(2): 21:1-21:19 (2016) - 2013
- [c3]Yu Zheng, Furui Liu, Hsun-Ping Hsieh
:
U-Air: when urban air quality inference meets big data. KDD 2013: 1436-1444 - 2012
- [c2]Furui Liu:
Dual Locality Preserving Nonnegative Matrix Factorization for image analysis. GrC 2012: 300-303 - [c1]Furui Liu, Xiyan Liu:
Unsupervised Feature Selection for Multi-cluster Data via Smooth Distributed Score. ICIC (3) 2012: 74-79
Coauthor Index
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last updated on 2024-08-14 23:15 CEST by the dblp team
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