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Furui Liu

U-Air
2013 · Yu Zheng, Furui Liu, et al. · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · 940
CausalVAE: Disentangled Representation Learning via Neural Structural Causal Models
2021 · Mengyue Yang, Furui Liu, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 322
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Efficient and accurate large library ligand docking with KarmaDock
2023 · Xujun Zhang, Odin Zhang, et al. · Nature Computational Science · 175
CauSSL: Causality-inspired Semi-supervised Learning for Medical Image Segmentation
2023 · Juzheng Miao, Cheng Chen, et al. · IEEE/CVF International Conference on Computer Vision (ICCV) · 123
ResGen is a pocket-aware 3D molecular generation model based on parallel multiscale modelling
2023 · Odin Zhang, Jintu Zhang, et al. · Nature Machine Intelligence · 108
Learning to select cuts for efficient mixed-integer programming
2021 · Zeren Huang, Kerong Wang, et al. · Pattern Recognition · 78
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Traj-MAE: Masked Autoencoders for Trajectory Prediction
2023 · Hao Chen, Jiaze Wang, et al. · IEEE/CVF International Conference on Computer Vision (ICCV) · 69
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Shapley Counterfactual Credits for Multi-Agent Reinforcement Learning
2021 · Jiahui Li, Kun Kuang, et al. · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · 68
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Contrastive-ACE: Domain Generalization Through Alignment of Causal Mechanisms
2022 · Yunqi Wang, Furui Liu, et al. · IEEE Transactions on Image Processing · 51
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Weakly Supervised Disentangled Generative Causal Representation Learning
2020 · Shen, Xinwei, Liu, Furui, et al. · arXiv (Cornell University) · 49
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DARING: Differentiable Causal Discovery with Residual Independence
2021 · Yue He, Peng Cui, et al. · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · 37
Uncertainty Estimation by Fisher Information-based Evidential Deep Learning
2023 · Deng, Danruo, Chen, Guangyong, et al. · arXiv (Cornell University) · 30
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ANEDL: Adaptive Negative Evidential Deep Learning for Open-Set Semi-supervised Learning
2024 · Yang Yu, Danruo Deng, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 18
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Causal World Models by Unsupervised Deconfounding of Physical Dynamics
2020 · Li, Minne, Yang, Mengyue, et al. · arXiv (Cornell University) · 16
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CauDR: A causality-inspired domain generalization framework for fundus-based diabetic retinopathy grading
2024 · Hao Wei, Peilun Shi, et al. · Computers in Biology and Medicine · 14
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Causal Inference on Multidimensional Data Using Free Probability Theory
2017 · Furui Liu, Lai-Wan Chan · IEEE Transactions on Neural Networks and Learning Systems · 14
Team-wise effective communication in multi-agent reinforcement learning
2024 · Ming Yang, Kaiyan Zhao, et al. · Autonomous Agents and Multi-Agent Systems · 13
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Learning from Good Trajectories in Offline Multi-Agent Reinforcement Learning
2023 · Qi Tian, Kun Kuang, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 13
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rcCAE: a convolutional autoencoder method for detecting intra-tumor heterogeneity and single-cell copy number alterations
2023 · Zhenhua Yu, Furui Liu, et al. · Briefings in Bioinformatics · 13
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Debiased Recommendation with User Feature Balancing
2023 · Mengyue Yang, Guohao Cai, et al. · ACM Transactions on Information Systems · 13
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RepMode: Learning to Re-Parameterize Diverse Experts for Subcellular Structure Prediction
2023 · Donghao Zhou, Chunbin Gu, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 10
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Emulating Full Participation: An Effective and Fair Client Selection Strategy for Federated Learning
2024 · Li, Qingming, Miao, Juzheng, et al. · arXiv (Cornell University) · 9
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Fast Non-Markovian Diffusion Model for Weakly Supervised Anomaly Detection in Brain MR Images
2023 · Jinpeng Li, Hanqun Cao, et al. · Lecture notes in computer science · 9
Causal Discovery on Discrete Data with Extensions to Mixture Model
2015 · Furui Liu, Laiwan Chan · ACM Transactions on Intelligent Systems and Technology · 9
Learning Instrumental Variable from Data Fusion for Treatment Effect Estimation
2023 · Anpeng Wu, Kun Kuang, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 8
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Works count: 66
Citation count: 2,318
H-index: 14
I10-index: 21
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