Furui Liu

According to our database, Furui Liu authored at least 53 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

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

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 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

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 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

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Debiased Recommendation with User Feature Balancing.

Mengyue Yang, Guohao Cai, Furui Liu, Jiarui Jin, Zhenhua Dong, Xiuqiang He, Jianye Hao, Weiqi Shao, Jun Wang, Xu Chen

ACM Trans. Inf. Syst., October, 2023

ResGen is a pocket-aware 3D molecular generation model based on parallel multiscale modelling.

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

Nat. Mac. Intell., September, 2023

rcCAE: a convolutional autoencoder method for detecting intra-tumor heterogeneity and single-cell copy number alterations.

Zhenhua Yu, Furui Liu, Fangyuan Shi, Fang Du

Briefings Bioinform., May, 2023

Contrastive-ACE: Domain Generalization Through Alignment of Causal Mechanisms.

Yunqi Wang, Furui Liu, Zhitang Chen, Yik-Chung Wu, Jianye Hao, Guangyong Chen, Pheng-Ann Heng

IEEE Trans. Image Process., 2023

Efficient and accurate large library ligand docking with KarmaDock.

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

Nat. Comput. Sci., 2023

CauDR: A Causality-inspired Domain Generalization Framework for Fundus-based Diabetic Retinopathy Grading.

Hao Wei, Peilun Shi, Juzheng Miao, Minqing Zhang, Guitao Bai, Jianing Qiu, Furui Liu, Wu Yuan

CoRR, 2023

Invariant Learning via Probability of Sufficient and Necessary Causes.

Mengyue Yang, Zhen Fang, Yonggang Zhang, Yali Du, Furui Liu, Jean-Francois Ton, Jun Wang

CoRR, 2023

Meta Adaptive Task Sampling for Few-Domain Generalization.

Zheyan Shen, Han Yu, Peng Cui, Jiashuo Liu, Xingxuan Zhang, Linjun Zhou, Furui Liu

CoRR, 2023

Adaptive Negative Evidential Deep Learning for Open-set Semi-supervised Learning.

Yang Yu, Danruo Deng, Furui Liu, Yueming Jin, Qi Dou, Guangyong Chen, Pheng-Ann Heng

CoRR, 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

CoRR, 2023

DR-Label: Improving GNN Models for Catalysis Systems by Label Deconstruction and Reconstruction.

Bowen Wang, Chen Liang, Jiaze Wang, Furui Liu, Shaogang Hao, Dong Li, Jianye Hao, Guangyong Chen, Xiaolong Zou, Pheng-Ann Heng

CoRR, 2023

Invariant Learning via Probability of Sufficient and Necessary Causes.

Mengyue Yang, Yonggang Zhang, Zhen Fang, Yali Du, Furui Liu, Jean-Francois Ton, Jianhong Wang, Jun Wang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Specify Robust Causal Representation from Mixed Observations.

Mengyue Yang, Xinyu Cai, Furui Liu, Weinan Zhang, Jun Wang

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Uncertainty Estimation by Fisher Information-based Evidential Deep Learning.

Danruo Deng, Guangyong Chen, Yang Yu, Furui Liu, Pheng-Ann Heng

Proceedings of the International Conference on Machine Learning, 2023

CauSSL: Causality-inspired Semi-supervised Learning for Medical Image Segmentation.

Juzheng Miao, Cheng Chen, Furui Liu, Hao Wei, Pheng-Ann Heng

Proceedings of the IEEE/CVF International Conference on Computer Vision, 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

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

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

Proceedings of the Database Systems for Advanced Applications, 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 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

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Learning from Good Trajectories in Offline Multi-Agent Reinforcement Learning.

Qi Tian, Kun Kuang, Furui Liu, Baoxiang Wang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Learning to select cuts for efficient mixed-integer programming.

Zeren Huang, Kerong Wang, Furui Liu, Hui-Ling Zhen, Weinan Zhang, Mingxuan Yuan, Jianye Hao, Yong Yu, Jun Wang

Pattern Recognit., 2022

Weakly Supervised Disentangled Generative Causal Representation Learning.

Xinwei Shen, Furui Liu, Hanze Dong, Qing Lian, Zhitang Chen, Tong Zhang

J. Mach. Learn. Res., 2022

Structured Q-learning For Antibody Design.

Alexander I. Cowen-Rivers, Philip John Gorinski, Aivar Sootla, Asif Khan, Furui Liu, Jun Wang, Jan Peters, Haitham Bou-Ammar

CoRR, 2022

Treatment Effect Estimation with Unmeasured Confounders in Data Fusion.

Anpeng Wu, Kun Kuang, Ruoxuan Xiong, Minqing Zhu, Yuxuan Liu, Bo Li, Furui Liu, Zhihua Wang, Fei Wu

CoRR, 2022

Generalizable Information Theoretic Causal Representation.

Mengyue Yang, Xinyu Cai, Furui Liu, Xu Chen, Zhitang Chen, Jianye Hao, Jun Wang

CoRR, 2022

Debiased Recommendation with User Feature Balancing.

Mengyue Yang, Guohao Cai, Furui Liu, Zhenhua Dong, Xiuqiang He, Jianye Hao, Jun Wang, Xu Chen

CoRR, 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

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

ConfounderGAN: Protecting Image Data Privacy with Causal Confounder.

Qi Tian, Kun Kuang, Kelu Jiang, Furui Liu, Zhihua Wang, Fei Wu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

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

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 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

Proceedings of the International Conference on Machine Learning, 2022

2021

Multi-agent Communication with Graph Information Bottleneck under Limited Bandwidth.

Qi Tian, Kun Kuang, Baoxiang Wang, Furui Liu, Fei Wu

CoRR, 2021

Contrastive ACE: Domain Generalization Through Alignment of Causal Mechanisms.

Yunqi Wang, Furui Liu, Zhitang Chen, Qing Lian, Shoubo Hu, Jianye Hao, Yik-Chung Wu

CoRR, 2021

Shapley Counterfactual Credits for Multi-Agent Reinforcement Learning.

Jiahui Li, Kun Kuang, Baoxiang Wang, Furui Liu, Long Chen, Fei Wu, Jun Xiao

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

DARING: Differentiable Causal Discovery with Residual Independence.

Yue He, Peng Cui, Zheyan Shen, Renzhe Xu, Furui Liu, Yong Jiang

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

CausalVAE: Disentangled Representation Learning via Neural Structural Causal Models.

Mengyue Yang, Furui Liu, Zhitang Chen, Xinwei Shen, Jianye Hao, Jun Wang

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Causal World Models by Unsupervised Deconfounding of Physical Dynamics.

Minne Li, Mengyue Yang, Furui Liu, Xu Chen, Zhitang Chen, Jun Wang

CoRR, 2020

Disentangled Generative Causal Representation Learning.

Xinwei Shen, Furui Liu, Hanze Dong, Qing Lian, Zhitang Chen, Tong Zhang

CoRR, 2020

Decoder-free Robustness Disentanglement without (Additional) Supervision.

Yifei Wang, Dan Peng, Furui Liu, Zhenguo Li, Zhitang Chen, Jiansheng Yang

CoRR, 2020

CausalVAE: Structured Causal Disentanglement in Variational Autoencoder.

Mengyue Yang, Furui Liu, Zhitang Chen, Xinwei Shen, Jianye Hao, Jun Wang

CoRR, 2020

2018

Causal Inference on Multidimensional Data Using Free Probability Theory.

Furui Liu, Lai-Wan Chan

IEEE Trans. Neural Networks Learn. Syst., 2018

Confounder Detection in High-Dimensional Linear Models Using First Moments of Spectral Measures.

Furui Liu, Laiwan Chan

Neural Comput., 2018

2017

On the Relations of Theoretical Foundations of Different Causal Inference Algorithms.

Furui Liu, Laiwan Chan

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2017 - 18th International Conference, Guilin, China, October 30, 2017

2016

Causal Discovery on Discrete Data with Extensions to Mixture Model.

Furui Liu, Laiwan Chan

ACM Trans. Intell. Syst. Technol., 2016

Causal Inference on Discrete Data via Estimating Distance Correlations.

Furui Liu, Laiwan Chan

Neural Comput., 2016

2013

U-Air: when urban air quality inference meets big data.

Yu Zheng, Furui Liu, Hsun-Ping Hsieh

Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

2012

Unsupervised Feature Selection for Multi-cluster Data via Smooth Distributed Score.

Furui Liu, Xiyan Liu

Proceedings of the Emerging Intelligent Computing Technology and Applications, 2012

Dual Locality Preserving Nonnegative Matrix Factorization for image analysis.

Furui Liu

Proceedings of the 2012 IEEE International Conference on Granular Computing, 2012