Furui Liu - RankMe

82 papers A* 21A 2C 1Misc 1Journal 52Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	DSAP: Enhancing Generalization in Goal-Conditioned Reinforcement Learning. AAAI Yiming Wang, Kaiyan Zhao, Ming Yang, Yan Li, Furui Liu, Jiayu Chen, Leong Hou U
2026	J	`jnl`	Geometry-Insensitive RPN Prototypes for Domain Adaptive 3D Object Detection. ACM Trans. Multim. Comput. Commun. Appl. Jiazhong Chen, Lu Guo, Dakai Ren, Zian Fu, Furui Liu, Hao Zhu, Yuxuan Pan
2025	A	`conf`	DiTAC: Discrete Teamwork Abstraction for Ad Hoc Collaboration. ECAI Jing Wang, Pengjie Gu, Mengchen Zhao, Guangyong Chen, Furui Liu, Pheng-Ann Heng
2025	A	`conf`	Dual Ensembled Multiagent Q-Learning with Hypernet Regularizer. AAMAS Yaodong Yang, Guangyong Chen, Hongyao Tang, Furui Liu, Danruo Deng, Pheng-Ann Heng
2025	J	`jnl`	Dual Ensembled Multiagent Q-Learning with Hypernet Regularizer. CoRR Yaodong Yang, Guangyong Chen, Hongyao Tang, Furui Liu, Danruo Deng, Pheng-Ann Heng
2025	J	`jnl`	Illuminating the unseen: Advancing MRI domain generalization through causality. Medical Image Anal. Yunqi Wang, Tianjiao Zeng, Furui Liu, Qi Dou, Peng Cao, Hing-Chiu Chang, Qiao Deng, Edward S. Hui
2025	J	`jnl`	Towards Human Modeling for Human-Robot Collaboration and Digital Twins in Industrial Environments: Research Status, Prospects, and Challenges. Robotics Comput. Integr. Manuf. Guoyi Xia, Zied Ghrairi, Thorsten Wuest, Karl Hribernik, Aaron Heuermann, Furui Liu, Hui Liu, Klaus-Dieter Thoben
2025	J	`jnl`	scDCT: a conditional diffusion-based deep learning model for high-fidelity single-cell cross-modality translation. Briefings Bioinform. Junlei Zhou, Jialiang Xue, Yang Li, Furui Liu, Fang Du, Zhenhua Yu
2025	J	`jnl`	scSTD: A Swin Transformer-Based Diffusion Model for Recovering scRNA-Seq Data. IEEE J. Biomed. Health Informatics Yang Li, Furui Liu, Junlei Zhou, Fangyuan Shi, Zhenhua Yu
2024	A*	`conf`	ANEDL: Adaptive Negative Evidential Deep Learning for Open-Set Semi-supervised Learning. AAAI Yang Yu, Danruo Deng, Furui Liu, Qi Dou, Yueming Jin, Guangyong Chen, Pheng-Ann Heng
2024	J	`jnl`	CauDR: A causality-inspired domain generalization framework for fundus-based diabetic retinopathy grading. Comput. Biol. Medicine Hao Wei, Peilun Shi, Juzheng Miao, Mingqin Zhang, Guitao Bai, Jianing Qiu, Furui Liu, Wu Yuan
2024	J	`jnl`	CoT: a transformer-based method for inferring tumor clonal copy number substructure from scDNA-seq data. Briefings Bioinform. Furui Liu, Fangyuan Shi, Fang Du, Xiangmei Cao, Zhenhua Yu
2024	A*	`conf`	DR-Label: Label Deconstruction and Reconstruction of GNN Models for Catalysis Systems. AAAI Bowen Wang, Chen Liang, Jiaze Wang, Jiezhong Qiu, Furui Liu, Shaogang Hao, Dong Li, Guangyong Chen, Xiaolong Zou, Pheng-Ann Heng
2024	J	`jnl`	Emulating Full Client Participation: A Long-Term Client Selection Strategy for Federated Learning. CoRR Qingming Li, Juzheng Miao, Puning Zhao, Li Zhou, Shouling Ji, Bowen Zhou, Furui Liu
2024	J	`jnl`	Point Cloud Completion via Relative Point Position Encoding and Regional Attention. IEEE Trans. Emerg. Top. Comput. Intell. Jiazhong Chen, Furui Liu, Dakai Ren, Lu Guo, Ziyi Liu
2024	A*	`conf`	Rethinking Exploration in Reinforcement Learning with Effective Metric-Based Exploration Bonus. NeurIPS Yiming Wang, Kaiyan Zhao, Furui Liu, Leong Hou U
2024	J	`jnl`	SFANet: Spatial-Frequency Attention Network for Weather Forecasting. CoRR Jiaze Wang, Hao Chen, Hongcan Xu, Jinpeng Li, Bowen Wang, Kun Shao, Furui Liu, Huaxi Chen, Guangyong Chen, Pheng-Ann Heng
2024	J	`jnl`	Team-wise effective communication in multi-agent reinforcement learning. Auton. Agents Multi Agent Syst. Ming Yang, Kaiyan Zhao, Yiming Wang, Renzhi Dong, Yali Du, Furui Liu, Mingliang Zhou, Leong Hou U
2024	A*	`conf`	Where and How to Attack? A Causality-Inspired Recipe for Generating Counterfactual Adversarial Examples. AAAI Ruichu Cai, Yuxuan Zhu, Jie Qiao, Zefeng Liang, Furui Liu, Zhifeng Hao
2024	J	`jnl`	scTCA: a hybrid Transformer-CNN architecture for imputation and denoising of scDNA-seq data. Briefings Bioinform. Zhenhua Yu, Furui Liu, Yang Li
2023	J	`jnl`	Adaptive Negative Evidential Deep Learning for Open-set Semi-supervised Learning. CoRR Yang Yu, Danruo Deng, Furui Liu, Yueming Jin, Qi Dou, Guangyong Chen, Pheng-Ann Heng
2023	J	`jnl`	CauDR: A Causality-inspired Domain Generalization Framework for Fundus-based Diabetic Retinopathy Grading. CoRR Hao Wei, Peilun Shi, Juzheng Miao, Minqing Zhang, Guitao Bai, Jianing Qiu, Furui Liu, Wu Yuan
2023	A*	`conf`	CauSSL: Causality-inspired Semi-supervised Learning for Medical Image Segmentation. ICCV Juzheng Miao, Cheng Chen, Furui Liu, Hao Wei, Pheng-Ann Heng
2023	J	`jnl`	Contrastive-ACE: Domain Generalization Through Alignment of Causal Mechanisms. IEEE Trans. Image Process. Yunqi Wang, Furui Liu, Zhitang Chen, Yik-Chung Wu, Jianye Hao, Guangyong Chen, Pheng-Ann Heng
2023	J	`jnl`	DR-Label: Improving GNN Models for Catalysis Systems by Label Deconstruction and Reconstruction. CoRR Bowen Wang, Chen Liang, Jiaze Wang, Furui Liu, Shaogang Hao, Dong Li, Jianye Hao, Guangyong Chen, Xiaolong Zou, Pheng-Ann Heng
2023	J	`jnl`	Debiased Recommendation with User Feature Balancing. ACM Trans. Inf. Syst. Mengyue Yang, Guohao Cai, Furui Liu, Jiarui Jin, Zhenhua Dong, Xiuqiang He, Jianye Hao, Weiqi Shao, Jun Wang, Xu Chen
2023	A*	`conf`	Efficient Potential-based Exploration in Reinforcement Learning using Inverse Dynamic Bisimulation Metric. NeurIPS Yiming Wang, Ming Yang, Renzhi Dong, Binbin Sun, Furui Liu, Leong Hou U
2023	J	`jnl`	Efficient and accurate large library ligand docking with KarmaDock. Nat. Comput. Sci. 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
2023	—	`conf`	Fast Non-Markovian Diffusion Model for Weakly Supervised Anomaly Detection in Brain MR Images. MICCAI (5) Jinpeng Li, Hanqun Cao, Jiaze Wang, Furui Liu, Qi Dou, Guangyong Chen, Pheng-Ann Heng
2023	A*	`conf`	Invariant Learning via Probability of Sufficient and Necessary Causes. NeurIPS Mengyue Yang, Yonggang Zhang, Zhen Fang, Yali Du, Furui Liu, Jean-Francois Ton, Jianhong Wang, Jun Wang
2023	J	`jnl`	Invariant Learning via Probability of Sufficient and Necessary Causes. CoRR Mengyue Yang, Zhen Fang, Yonggang Zhang, Yali Du, Furui Liu, Jean-Francois Ton, Jun Wang
2023	A*	`conf`	Learning Instrumental Variable from Data Fusion for Treatment Effect Estimation. AAAI Anpeng Wu, Kun Kuang, Ruoxuan Xiong, Minqing Zhu, Yuxuan Liu, Bo Li, Furui Liu, Zhihua Wang, Fei Wu
2023	—	`conf`	Learning Robust Classifier for Imbalanced Medical Image Dataset with Noisy Labels by Minimizing Invariant Risk. MICCAI (6) Jinpeng Li, Hanqun Cao, Jiaze Wang, Furui Liu, Qi Dou, Guangyong Chen, Pheng-Ann Heng
2023	A*	`conf`	Learning from Good Trajectories in Offline Multi-Agent Reinforcement Learning. AAAI Qi Tian, Kun Kuang, Furui Liu, Baoxiang Wang
2023	J	`jnl`	Meta Adaptive Task Sampling for Few-Domain Generalization. CoRR Zheyan Shen, Han Yu, Peng Cui, Jiashuo Liu, Xingxuan Zhang, Linjun Zhou, Furui Liu
2023	A*	`conf`	RepMode: Learning to Re-Parameterize Diverse Experts for Subcellular Structure Prediction. CVPR Donghao Zhou, Chunbin Gu, Junde Xu, Furui Liu, Qiong Wang, Guangyong Chen, Pheng-Ann Heng
2023	J	`jnl`	ResGen is a pocket-aware 3D molecular generation model based on parallel multiscale modelling. Nat. Mac. Intell. 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
2023	A*	`conf`	Specify Robust Causal Representation from Mixed Observations. KDD Mengyue Yang, Xinyu Cai, Furui Liu, Weinan Zhang, Jun Wang
2023	J	`jnl`	Specify Robust Causal Representation from Mixed Observations. CoRR Mengyue Yang, Xinyu Cai, Furui Liu, Weinan Zhang, Jun Wang
2023	—	`conf`	TieComm: Learning a Hierarchical Communication Topology Based on Tie Theory. DASFAA (1) Ming Yang, Renzhi Dong, Yiming Wang, Furui Liu, Yali Du, Mingliang Zhou, Leong Hou U
2023	A*	`conf`	Traj-MAE: Masked Autoencoders for Trajectory Prediction. ICCV Hao Chen, Jiaze Wang, Kun Shao, Furui Liu, Jianye Hao, Chenyong Guan, Guangyong Chen, Pheng-Ann Heng
2023	J	`jnl`	Traj-MAE: Masked Autoencoders for Trajectory Prediction. CoRR Hao Chen, Jiaze Wang, Kun Shao, Furui Liu, Jianye Hao, Chenyong Guan, Guangyong Chen, Pheng-Ann Heng
2023	A*	`conf`	Uncertainty Estimation by Fisher Information-based Evidential Deep Learning. ICML Danruo Deng, Guangyong Chen, Yang Yu, Furui Liu, Pheng-Ann Heng
2023	J	`jnl`	Uncertainty Estimation by Fisher Information-based Evidential Deep Learning. CoRR Danruo Deng, Guangyong Chen, Yang Yu, Furui Liu, Pheng-Ann Heng
2023	J	`jnl`	Where and How to Attack? A Causality-Inspired Recipe for Generating Counterfactual Adversarial Examples. CoRR Ruichu Cai, Yuxuan Zhu, Jie Qiao, Zefeng Liang, Furui Liu, Zhifeng Hao
2023	J	`jnl`	rcCAE: a convolutional autoencoder method for detecting intra-tumor heterogeneity and single-cell copy number alterations. Briefings Bioinform. Zhenhua Yu, Furui Liu, Fangyuan Shi, Fang Du
2022	—	`conf`	Branch Ranking for Efficient Mixed-Integer Programming via Offline Ranking-Based Policy Learning. ECML/PKDD (5) Zeren Huang, Wenhao Chen, Weinan Zhang, Chuhan Shi, Furui Liu, Hui-Ling Zhen, Mingxuan Yuan, Jianye Hao, Yong Yu, Jun Wang
2022	J	`jnl`	Branch Ranking for Efficient Mixed-Integer Programming via Offline Ranking-based Policy Learning. CoRR Zeren Huang, Wenhao Chen, Weinan Zhang, Chuhan Shi, Furui Liu, Hui-Ling Zhen, Mingxuan Yuan, Jianye Hao, Yong Yu, Jun Wang
2022	A*	`conf`	ConfounderGAN: Protecting Image Data Privacy with Causal Confounder. NeurIPS Qi Tian, Kun Kuang, Kelu Jiang, Furui Liu, Zhihua Wang, Fei Wu
2022	J	`jnl`	ConfounderGAN: Protecting Image Data Privacy with Causal Confounder. CoRR Qi Tian, Kun Kuang, Kelu Jiang, Furui Liu, Zhihua Wang, Fei Wu
2022	J	`jnl`	Debiased Recommendation with User Feature Balancing. CoRR Mengyue Yang, Guohao Cai, Furui Liu, Zhenhua Dong, Xiuqiang He, Jianye Hao, Jun Wang, Xu Chen
2022	A*	`conf`	Deconfounded Value Decomposition for Multi-Agent Reinforcement Learning. ICML Jiahui Li, Kun Kuang, Baoxiang Wang, Furui Liu, Long Chen, Changjie Fan, Fei Wu, Jun Xiao
2022	J	`jnl`	Generalizable Information Theoretic Causal Representation. CoRR Mengyue Yang, Xinyu Cai, Furui Liu, Xu Chen, Zhitang Chen, Jianye Hao, Jun Wang
2022	J	`jnl`	Learning From Good Trajectories in Offline Multi-Agent Reinforcement Learning. CoRR Qi Tian, Kun Kuang, Furui Liu, Baoxiang Wang
2022	J	`jnl`	Learning to select cuts for efficient mixed-integer programming. Pattern Recognit. Zeren Huang, Kerong Wang, Furui Liu, Hui-Ling Zhen, Weinan Zhang, Mingxuan Yuan, Jianye Hao, Yong Yu, Jun Wang
2022	J	`jnl`	RepMode: Learning to Re-parameterize Diverse Experts for Subcellular Structure Prediction. CoRR Donghao Zhou, Chunbin Gu, Junde Xu, Furui Liu, Qiong Wang, Guangyong Chen, Pheng-Ann Heng
2022	A*	`conf`	S2RL: Do We Really Need to Perceive All States in Deep Multi-Agent Reinforcement Learning? KDD Shuang Luo, Yinchuan Li, Jiahui Li, Kun Kuang, Furui Liu, Yunfeng Shao, Chao Wu
2022	J	`jnl`	S2RL: Do We Really Need to Perceive All States in Deep Multi-Agent Reinforcement Learning? CoRR Shuang Luo, Yinchuan Li, Jiahui Li, Kun Kuang, Furui Liu, Yunfeng Shao, Chao Wu
2022	J	`jnl`	Structured Q-learning For Antibody Design. CoRR Alexander I. Cowen-Rivers, Philip John Gorinski, Aivar Sootla, Asif Khan, Furui Liu, Jun Wang, Jan Peters, Haitham Bou-Ammar
2022	J	`jnl`	Treatment Effect Estimation with Unmeasured Confounders in Data Fusion. CoRR Anpeng Wu, Kun Kuang, Ruoxuan Xiong, Minqing Zhu, Yuxuan Liu, Bo Li, Furui Liu, Zhihua Wang, Fei Wu
2022	J	`jnl`	Weakly Supervised Disentangled Generative Causal Representation Learning. J. Mach. Learn. Res. Xinwei Shen, Furui Liu, Hanze Dong, Qing Lian, Zhitang Chen, Tong Zhang
2021	A*	`conf`	CausalVAE: Disentangled Representation Learning via Neural Structural Causal Models. CVPR Mengyue Yang, Furui Liu, Zhitang Chen, Xinwei Shen, Jianye Hao, Jun Wang
2021	J	`jnl`	Contrastive ACE: Domain Generalization Through Alignment of Causal Mechanisms. CoRR Yunqi Wang, Furui Liu, Zhitang Chen, Qing Lian, Shoubo Hu, Jianye Hao, Yik-Chung Wu
2021	A*	`conf`	DARING: Differentiable Causal Discovery with Residual Independence. KDD Yue He, Peng Cui, Zheyan Shen, Renzhe Xu, Furui Liu, Yong Jiang
2021	J	`jnl`	Learning to Select Cuts for Efficient Mixed-Integer Programming. CoRR Zeren Huang, Kerong Wang, Furui Liu, Hui-Ling Zhen, Weinan Zhang, Mingxuan Yuan, Jianye Hao, Yong Yu, Jun Wang
2021	J	`jnl`	Multi-agent Communication with Graph Information Bottleneck under Limited Bandwidth. CoRR Qi Tian, Kun Kuang, Baoxiang Wang, Furui Liu, Fei Wu
2021	A*	`conf`	Shapley Counterfactual Credits for Multi-Agent Reinforcement Learning. KDD Jiahui Li, Kun Kuang, Baoxiang Wang, Furui Liu, Long Chen, Fei Wu, Jun Xiao
2021	J	`jnl`	Shapley Counterfactual Credits for Multi-Agent Reinforcement Learning. CoRR Jiahui Li, Kun Kuang, Baoxiang Wang, Furui Liu, Long Chen, Fei Wu, Jun Xiao
2020	J	`jnl`	Causal World Models by Unsupervised Deconfounding of Physical Dynamics. CoRR Minne Li, Mengyue Yang, Furui Liu, Xu Chen, Zhitang Chen, Jun Wang
2020	J	`jnl`	CausalVAE: Structured Causal Disentanglement in Variational Autoencoder. CoRR Mengyue Yang, Furui Liu, Zhitang Chen, Xinwei Shen, Jianye Hao, Jun Wang
2020	J	`jnl`	Decoder-free Robustness Disentanglement without (Additional) Supervision. CoRR Yifei Wang, Dan Peng, Furui Liu, Zhenguo Li, Zhitang Chen, Jiansheng Yang
2020	J	`jnl`	Disentangled Generative Causal Representation Learning. CoRR Xinwei Shen, Furui Liu, Hanze Dong, Qing Lian, Zhitang Chen, Tong Zhang
2018	J	`jnl`	Causal Inference on Discrete Data via Estimating Distance Correlations. CoRR Furui Liu, Laiwan Chan
2018	J	`jnl`	Causal Inference on Multidimensional Data Using Free Probability Theory. IEEE Trans. Neural Networks Learn. Syst. Furui Liu, Lai-Wan Chan
2018	J	`jnl`	Confounder Detection in High Dimensional Linear Models using First Moments of Spectral Measures. CoRR Furui Liu, Laiwan Chan
2018	J	`jnl`	Confounder Detection in High-Dimensional Linear Models Using First Moments of Spectral Measures. Neural Comput. Furui Liu, Laiwan Chan
2017	C	`conf`	On the Relations of Theoretical Foundations of Different Causal Inference Algorithms. IDEAL Furui Liu, Laiwan Chan
2016	J	`jnl`	Causal Discovery on Discrete Data with Extensions to Mixture Model. ACM Trans. Intell. Syst. Technol. Furui Liu, Laiwan Chan
2016	J	`jnl`	Causal Inference on Discrete Data via Estimating Distance Correlations. Neural Comput. Furui Liu, Laiwan Chan
2013	A*	`conf`	U-Air: when urban air quality inference meets big data. KDD Yu Zheng, Furui Liu, Hsun-Ping Hsieh
2012	Misc	`conf`	Dual Locality Preserving Nonnegative Matrix Factorization for image analysis. GrC Furui Liu
2012	—	`conf`	Unsupervised Feature Selection for Multi-cluster Data via Smooth Distributed Score. ICIC (3) Furui Liu, Xiyan Liu