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2025

Synergy Between Sufficient Changes and Sparse Mixing Procedure for Disentangled Representation LearningZijian Li 0001, Shunxing Fan, Yujia Zheng 0001, Ignavier Ng, Shaoan Xie, Guangyi Chen 0002, Xinshuai Dong, Ruichu Cai, Kun Zhang 0001. iclr 2025: [doi]

On the Identification of Temporal Causal Representation with Instantaneous DependenceZijian Li 0001, Yifan Shen, Kaitao Zheng, Ruichu Cai, Xiangchen Song, Mingming Gong, Guangyi Chen 0002, Kun Zhang 0001. iclr 2025: [doi]

Latent Covariate Shift: Unlocking Partial Identifiability for Multi-Source Domain AdaptationYuhang Liu 0002, Zhen Zhang 0008, Dong Gong, Mingming Gong, Biwei Huang, Anton van den Hengel, Kun Zhang 0001, Javen Qinfeng Shi. tmlr, 2025, 2025. [doi]

A Robust Method to Discover Causal or Anticausal RelationYu Yao 0005, Yang Zhou, Bo Han 0003, Mingming Gong, Kun Zhang 0001, Tongliang Liu. iclr 2025: [doi]

Analytic DAG Constraints for Differentiable DAG LearningZhen Zhang 0008, Ignavier Ng, Dong Gong, Yuhang Liu, Mingming Gong, Biwei Huang, Kun Zhang 0001, Anton van den Hengel, Javen Qinfeng Shi. iclr 2025: [doi]

Learning Disentangled Representation for Multi-Modal Time-Series Sensing SignalsRuichu Cai, Zhifan Jiang, Kaitao Zheng, Zijian Li 0001, Weilin Chen, Xuexin Chen, Yifan Shen, Guangyi Chen 0002, Zhifeng Hao, Kun Zhang 0001. WWW 2025: 3247-3266 [doi]

Noisy Test-Time Adaptation in Vision-Language ModelsChentao Cao, Zhun Zhong, Zhanke Zhou, Tongliang Liu, Yang Liu 0018, Kun Zhang 0001, Bo Han 0003. iclr 2025: [doi]

Alignclip: navigating the misalignments for robust vision-language generalizationZhongyi Han, Gongxu Luo, Hao Sun, Yaqian Li, Bo Han 0003, Mingming Gong, Kun Zhang 0001, Tongliang Liu. ml, 114(3):58, March 2025. [doi]

A Skewness-Based Criterion for Addressing Heteroscedastic Noise in Causal DiscoveryYingyu Lin, Yuxing Huang, Wenqin Liu, Haoran Deng, Ignavier Ng, Kun Zhang 0001, Mingming Gong, Yian Ma, Biwei Huang. iclr 2025: [doi]

Flow: Modularized Agentic Workflow AutomationBoye Niu, Yiliao Song, Kai Lian, Yifan Shen, Yu Yao 0005, Kun Zhang 0001, Tongliang Liu. iclr 2025: [doi]

Differentiable Causal Discovery for Latent Hierarchical Causal ModelsParjanya Prajakta Prashant, Ignavier Ng, Kun Zhang 0001, Biwei Huang. iclr 2025: [doi]

Learning Graph Invariance by Harnessing SpuriosityTianjun Yao, Yongqiang Chen 0002, Kai Hu 0010, Tongliang Liu, Kun Zhang 0001, Zhiqiang Shen. iclr 2025: [doi]

Generative Framework for Personalized Persuasion: Inferring Causal, Counterfactual, and Latent KnowledgeDonghuo Zeng, Roberto Legaspi, Yuewen Sun, Xinshuai Dong, Kazushi Ikeda, Peter Spirtes, Kun Zhang 0001. um 2025: 83-93 [doi]

HCVP: Leveraging Hierarchical Contrastive Visual Prompt for Domain GeneralizationGuanglin Zhou, Zhongyi Han, Shiming Chen 0002, Biwei Huang, Liming Zhu 0001, Tongliang Liu, Lina Yao 0001, Kun Zhang 0001. tmm, 27:1142-1152, 2025. [doi]

Offline model-based reinforcement learning with causal structured world modelsZhengmao Zhu, Hong-Long Tian, Xionghui Chen, Kun Zhang 0001, Yang Yu 0001. fcsc, 19(4):194347, April 2025. [doi]

2024

Causal Representation Learning from Multiple Distributions: A General SettingKun Zhang 0001, Shaoan Xie, Ignavier Ng, Yujia Zheng. icml 2024: [doi]

IEEE Transactions on Neural Networks and Learning Systems Special Issue on Causal Discovery and Causality-Inspired Machine LearningKun Zhang 0001, Ilya Shpitser, Sara Magliacane, Davide Bacciu, Fei Wu 0001, Changshui Zhang, Peter Spirtes. tnn, 35(4):4899-4901, April 2024. [doi]

Transferable Time-Series Forecasting Under Causal Conditional ShiftZijian Li 0001, Ruichu Cai, Tom Z. J. Fu, Zhifeng Hao, Kun Zhang 0001. pami, 46(4):1932-1949, April 2024. [doi]

CaRiNG: Learning Temporal Causal Representation under Non-Invertible Generation ProcessGuangyi Chen 0002, Yifan Shen, Zhenhao Chen, Xiangchen Song, Yuewen Sun, Weiran Yao, Xiao Liu, Kun Zhang 0001. icml 2024: [doi]

LLCP: Learning Latent Causal Processes for Reasoning-based Video Question AnswerGuangyi Chen 0002, Yuke Li, Xiao Liu, Zijian Li 0001, Eman Al Suradi, Donglai Wei 0001, Kun Zhang 0001. iclr 2024: [doi]

Generalized Independent Noise Condition for Estimating Causal Structure with Latent VariablesFeng Xie 0002, Biwei Huang, Zhengming Chen, Ruichu Cai, Clark Glymour, Zhi Geng, Kun Zhang 0001. jmlr, 25, 2024. [doi]

Identification of Causal Structure with Latent Variables Based on Higher Order CumulantsWei Chen 0103, Zhiyi Huang 0008, Ruichu Cai, Zhifeng Hao, Kun Zhang 0001. AAAI 2024: 20353-20361 [doi]

Delving Into Important Samples of Semi-Supervised Old Photo Restoration: A New Dataset and MethodWeiwei Cai, Huaidong Zhang, Xuemiao Xu, Chenshu Xu, Kun Zhang 0001, Shengfeng He. tmm, 26:9866-9879, 2024. [doi]

Hierarchical damage correlations for old photo restorationWeiwei Cai, Xuemiao Xu, Jiajia Xu, Huaidong Zhang, Haoxin Yang, Kun Zhang 0001, Shengfeng He. inffus, 107:102340, 2024. [doi]

Graph Domain Adaptation: A Generative ViewRuichu Cai, Fengzhu Wu, Zijian Li 0001, Pengfei Wei, Lingling Yi, Kun Zhang 0001. tkdd, 18(3), April 2024. [doi]

Learning Discrete Latent Variable Structures with Tensor Rank ConditionsZhengming Chen, Ruichu Cai, Feng Xie 0002, Jie Qiao, Anpeng Wu, Zijian Li 0001, Zhifeng Hao, Kun Zhang 0001. nips 2024: [doi]

Neural Collapse Inspired Feature Alignment for Out-of-Distribution GeneralizationZhikang Chen, Min Zhang, Sen Cui, Haoxuan Li, Gang Niu 0001, Mingming Gong, Changshui Zhang, Kun Zhang 0001. nips 2024: [doi]

Ada-FFL: Adaptive computing fairness federated learningYue Cong, Jing Qiu 0002, Kun Zhang 0001, Zhongyang Fang, Chengliang Gao, Shen Su, Zhihong Tian. caaitrit, 9(3):573-584, 2024. [doi]

Local Causal Discovery with Linear non-Gaussian Cyclic ModelsHaoyue Dai, Ignavier Ng, Yujia Zheng, Zhengqing Gao, Kun Zhang 0001. aistats 2024: 154-162 [doi]

Gene Regulatory Network Inference in the Presence of Dropouts: a Causal ViewHaoyue Dai, Ignavier Ng, Gongxu Luo, Peter Spirtes, Petar Stojanov, Kun Zhang 0001. iclr 2024: [doi]

A Versatile Causal Discovery Framework to Allow Causally-Related Hidden VariablesXinshuai Dong, Biwei Huang, Ignavier Ng, Xiangchen Song, Yujia Zheng, Songyao Jin, Roberto Legaspi, Peter Spirtes, Kun Zhang 0001. iclr 2024: [doi]

On the Parameter Identifiability of Partially Observed Linear Causal ModelsXinshuai Dong, Ignavier Ng, Biwei Huang, Yuewen Sun, Songyao Jin, Roberto Legaspi, Peter Spirtes, Kun Zhang 0001. nips 2024: [doi]

On the Recoverability of Causal Relations from Temporally Aggregated I.I.D. DataShunxing Fan, Mingming Gong, Kun Zhang 0001. icml 2024: [doi]

Structural Estimation of Partially Observed Linear Non-Gaussian Acyclic Model: A Practical Approach with IdentifiabilitySongyao Jin, Feng Xie 0002, Guangyi Chen 0002, Biwei Huang, Zhengming Chen, Xinshuai Dong, Kun Zhang 0001. iclr 2024: [doi]

Towards Understanding Extrapolation: a Causal LensLingjing Kong, Guangyi Chen 0002, Petar Stojanov, Haoxuan Li, Eric P. Xing, Kun Zhang 0001. nips 2024: [doi]

Learning Discrete Concepts in Latent Hierarchical ModelsLingjing Kong, Guangyi Chen 0002, Biwei Huang, Eric P. Xing, Yuejie Chi, Kun Zhang 0001. nips 2024: [doi]

Causal Structure Recovery with Latent Variables under Milder Distributional and Graphical AssumptionsXiu-Chuan Li, Kun Zhang 0001, Tongliang Liu. iclr 2024: [doi]

Learning Socio-Temporal Graphs for Multi-Agent Trajectory PredictionYuke Li, Lixiong Chen, Guangyi Chen 0002, Ching-Yao Chan, Kun Zhang 0001, Stefano Anzellotti, Donglai Wei 0001. hcma 2024: 55-64 [doi]

Federated Causal Discovery from Heterogeneous DataLongkang Li, Ignavier Ng, Gongxu Luo, Biwei Huang, Guangyi Chen 0002, Tongliang Liu, Bin Gu 0001, Kun Zhang 0001. iclr 2024: [doi]

On Causal Discovery in the Presence of Deterministic RelationsLoka Li, Haoyue Dai, Hanin Al Ghothani, Biwei Huang, Jiji Zhang, Shahar Harel, Isaac Bentwich, Guangyi Chen 0002, Kun Zhang 0001. nips 2024: [doi]

Identifiable Latent Polynomial Causal Models through the Lens of ChangeYuhang Liu, Zhen Zhang 0008, Dong Gong, Mingming Gong, Biwei Huang, Anton van den Hengel, Kun Zhang 0001, Javen Qinfeng Shi. iclr 2024: [doi]

Score-Based Causal Discovery of Latent Variable Causal ModelsIgnavier Ng, Xinshuai Dong, Haoyue Dai, Biwei Huang, Peter Spirtes, Kun Zhang 0001. icml 2024: [doi]

Structure Learning with Continuous Optimization: A Sober Look and BeyondIgnavier Ng, Biwei Huang, Kun Zhang 0001. clear2 2024: 71-105 [doi]

Identifying Selections for Unsupervised Subtask DiscoveryYiwen Qiu, Yujia Zheng 0001, Kun Zhang 0001. nips 2024: [doi]

MRIShift: Disentangled Representation Learning for 3D MRI Lesion Segmentation Under Distributional ShiftsUmaima Rahman, Guangyi Chen 0002, Kun Zhang 0001. euvip 2024: 1-6 [doi]

Causal Temporal Representation Learning with Nonstationary Sparse TransitionXiangchen Song, Zijian Li 0001, Guangyi Chen 0002, Yujia Zheng 0001, Yewen Fan, Xinshuai Dong, Kun Zhang 0001. nips 2024: [doi]

ACAMDA: Improving Data Efficiency in Reinforcement Learning through Guided Counterfactual Data AugmentationYuewen Sun, Erli Wang, Biwei Huang, Chaochao Lu, Lu Feng, Changyin Sun, Kun Zhang 0001. AAAI 2024: 15193-15201 [doi]

Procedural Fairness Through Decoupling Objectionable Data Generating ComponentsZeyu Tang, Jialu Wang, Yang Liu, Peter Spirtes, Kun Zhang 0001. iclr 2024: [doi]

Identifiability and Asymptotics in Learning Homogeneous Linear ODE Systems from Discrete ObservationsYuanyuan Wang, Wei Huang, Mingming Gong, Xi Geng, Tongliang Liu, Kun Zhang 0001, Dacheng Tao. jmlr, 25, 2024. [doi]

Optimal Kernel Choice for Score Function-based Causal DiscoveryWenjie Wang, Biwei Huang, Feng Liu 0003, Xinge You, Tongliang Liu, Kun Zhang 0001, Mingming Gong. icml 2024: [doi]

Fully Deformable Network for Multiview Face Image SynthesisCheng Xu, KeKe Li, Xuandi Luo, Xuemiao Xu, Shengfeng He, Kun Zhang 0001. tnn, 35(7):8854-8868, July 2024. [doi]

Explainable Recommender With Geometric Information BottleneckHanqi Yan, Lin Gui 0003, Menghan Wang, Kun Zhang 0001, Yulan He 0001. tkde, 36(7):3036-3046, July 2024. [doi]

MuGSI: Distilling GNNs with Multi-Granularity Structural Information for Graph ClassificationTianjun Yao, Jiaqi Sun, Defu Cao, Kun Zhang 0001, Guangyi Chen 0002. WWW 2024: 709-720 [doi]

Empowering Graph Invariance Learning with Deep Spurious InfomaxTianjun Yao, Yongqiang Chen 0002, Zhenhao Chen, Kai Hu 0010, Zhiqiang Shen, Kun Zhang 0001. icml 2024: [doi]

Counterfactual Reasoning Using Predicted Latent Personality Dimensions for Optimizing Persuasion OutcomeDonghuo Zeng, Roberto Sebastian Legaspi, Yuewen Sun, Xinshuai Dong, Kazushi Ikeda, Peter Spirtes, Kun Zhang 0001. persuasive 2024: 287-300 [doi]

S3A: Towards Realistic Zero-Shot Classification via Self Structural Semantic AlignmentSheng Zhang, Muzammal Naseer, Guangyi Chen, Zhiqiang Shen, Salman H. Khan 0001, Kun Zhang 0001, Fahad Shahbaz Khan. AAAI 2024: 7278-7286 [doi]

Detecting and Identifying Selection Structure in Sequential DataYujia Zheng, Zeyu Tang, Yiwen Qiu, Bernhard Schölkopf, Kun Zhang 0001. icml 2024: [doi]

Causal-learn: Causal Discovery in PythonYujia Zheng, Biwei Huang, Wei Chen 0103, Joseph D. Ramsey, Mingming Gong, Ruichu Cai, Shohei Shimizu, Peter Spirtes, Kun Zhang 0001. jmlr, 25, 2024. [doi]

2023

Subspace Identification for Multi-Source Domain AdaptationZijian Li 0001, Ruichu Cai, Guangyi Chen 0002, Boyang Sun, Zhifeng Hao, Kun Zhang 0001. nips 2023: [doi]

Causal discovery of 1-factor measurement models in linear latent variable models with arbitrary noise distributionsFeng Xie 0002, Yan Zeng 0002, Zhengming Chen, Yangbo He, Zhi Geng, Kun Zhang 0001. ijon, 526:48-61, March 2023. [doi]

PLOT: Prompt Learning with Optimal Transport for Vision-Language ModelsGuangyi Chen 0002, Weiran Yao, Xiangchen Song, Xinyue Li, Yongming Rao, Kun Zhang 0001. iclr 2023: [doi]

Conditional Independence Test Based on Residual SimilarityHao Zhang 0079, Yewei Xia, Kun Zhang 0001, Shuigeng Zhou, Jihong Guan. tkdd, 17(8), 2023. [doi]

Contextual-Assisted Scratched Photo RestorationWeiwei Cai, Huaidong Zhang, Xuemiao Xu, Shengfeng He, Kun Zhang 0001, Jing Qin 0001. tcsv, 33(10):5458-5469, October 2023. [doi]

Causal Discovery with Latent Confounders Based on Higher-Order CumulantsRuichu Cai, Zhiyi Huang 0008, Wei Chen 0103, Zhifeng Hao, Kun Zhang 0001. icml 2023: 3380-3407 [doi]

Tem-adapter: Adapting Image-Text Pretraining for Video Question AnswerGuangyi Chen, Xiao Liu, Guangrun Wang, Kun Zhang 0001, Philip H. S. Torr, Xiao-Ping Zhang, Yansong Tang. iccv 2023: 13899-13909 [doi]

Calibration Matters: Tackling Maximization Bias in Large-scale Advertising Recommendation SystemsYewen Fan, Nian Si, Kun Zhang 0001. iclr 2023: [doi]

Editorial Special Issue on Causality: Fundamental Limits and ApplicationsNegar Kiyavash, Elias Bareinboim, Todd P. Coleman, Alex Dimakis, Bernhard Schlkopf, Peter Spirtes, Kun Zhang 0001, Robert Nowak. jsait, 4, 2023. [doi]

Understanding Masked Autoencoders via Hierarchical Latent Variable ModelsLingjing Kong, Martin Q. Ma, Guangyi Chen 0002, Eric P. Xing, Yuejie Chi, Louis-Philippe Morency, Kun Zhang 0001. cvpr 2023: 7918-7928 [doi]

Identification of Nonlinear Latent Hierarchical ModelsLingjing Kong, Biwei Huang, Feng Xie 0002, Eric P. Xing, Yuejie Chi, Kun Zhang 0001. nips 2023: [doi]

Learning World Models with Identifiable FactorizationYuren Liu, Biwei Huang, Zhengmao Zhu, Hong-Long Tian, Mingming Gong, Yang Yu 0001, Kun Zhang 0001. nips 2023: [doi]

Scalable Causal Discovery with Score MatchingFrancesco Montagna, Nicoletta Noceti, Lorenzo Rosasco, Kun Zhang 0001, Francesco Locatello. clear2 2023: 752-771 [doi]

Causal Discovery with Score Matching on Additive Models with Arbitrary NoiseFrancesco Montagna, Nicoletta Noceti, Lorenzo Rosasco, Kun Zhang 0001, Francesco Locatello. clear2 2023: 726-751 [doi]

On the Identifiability of Sparse ICA without Assuming Non-GaussianityIgnavier Ng, Yujia Zheng, Xinshuai Dong, Kun Zhang 0001. nips 2023: [doi]

Temporally Disentangled Representation Learning under Unknown NonstationarityXiangchen Song, Weiran Yao, Yewen Fan, Xinshuai Dong, Guangyi Chen 0002, Juan Carlos Niebles, Eric Xing, Kun Zhang 0001. nips 2023: [doi]

Model-Based Transfer Reinforcement Learning Based on Graphical Model RepresentationsYuewen Sun, Kun Zhang 0001, Changyin Sun. tnn, 34(2):1035-1048, February 2023. [doi]

What-is and How-to for Fairness in Machine Learning: A Survey, Reflection, and PerspectiveZeyu Tang, Jiji Zhang, Kun Zhang 0001. ACM Comput. Surv., 55(13s), 2023. [doi]

Tier Balancing: Towards Dynamic Fairness over Underlying Causal FactorsZeyu Tang, Yatong Chen, Yang Liu, Kun Zhang 0001. iclr 2023: [doi]

Causal Balancing for Domain GeneralizationXinyi Wang, Michael Saxon, Jiachen Li, Hongyang Zhang 0001, Kun Zhang 0001, William Yang Wang. iclr 2023: [doi]

Unpaired Image-to-Image Translation with Shortest Path RegularizationShaoan Xie, Yanwu Xu, Mingming Gong, Kun Zhang 0001. cvpr 2023: 10177-10187 [doi]

SmartBrush: Text and Shape Guided Object Inpainting with Diffusion ModelShaoan Xie, Zhifei Zhang, Zhe Lin 0001, Tobias Hinz, Kun Zhang 0001. cvpr 2023: 22428-22437 [doi]

Multi-domain image generation and translation with identifiability guaranteesShaoan Xie, Lingjing Kong, Mingming Gong, Kun Zhang 0001. iclr 2023: [doi]

Counterfactual Generation with Identifiability GuaranteesHanqi Yan, Lingjing Kong, Lin Gui 0003, Yuejie Chi, Eric P. Xing, Yulan He 0001, Kun Zhang 0001. nips 2023: [doi]

Deep Dag Learning of Effective Brain Connectivity for FMRI AnalysisYue Yu, Xuan Kan, Hejie Cui, Ran Xu, Yujia Zheng, Xiangchen Song, Yanqiao Zhu 0001, Kun Zhang 0001, Razieh Nabi, Ying Guo, Chao Zhang 0014, Carl Yang. isbi 2023: 1-5 [doi]

Generalized Precision Matrix for Scalable Estimation of Nonparametric Markov NetworksYujia Zheng, Ignavier Ng, Yewen Fan, Kun Zhang 0001. iclr 2023: [doi]

2022

Maximum Spatial Perturbation Consistency for Unpaired Image-to-Image TranslationYanwu Xu 0003, Shaoan Xie, Wenhao Wu, Kun Zhang 0001, Mingming Gong, Kayhan Batmanghelich. cvpr 2022: 18290-18299 [doi]

Truncated Matrix Power Iteration for Differentiable DAG LearningZhen Zhang 0008, Ignavier Ng, Dong Gong, Yuhang Liu, Ehsan Abbasnejad, Mingming Gong, Kun Zhang 0001, Javen Qinfeng Shi. nips 2022: [doi]

Residual Similarity Based Conditional Independence Test and Its Application in Causal DiscoveryHao Zhang 0079, Shuigeng Zhou, Kun Zhang 0001, Jihong Guan. AAAI 2022: 5942-5949 [doi]

Identification of Linear Latent Variable Model with Arbitrary DistributionZhengming Chen, Feng Xie, Jie Qiao, Zhifeng Hao, Kun Zhang 0001, Ruichu Cai. AAAI 2022: 6350-6357 [doi]

Independence Testing-Based Approach to Causal Discovery under Measurement Error and Linear Non-Gaussian ModelsHaoyue Dai, Peter Spirtes, Kun Zhang 0001. nips 2022: [doi]

Partial disentanglement for domain adaptationLingjing Kong, Shaoan Xie, Weiran Yao, Yujia Zheng, Guangyi Chen, Petar Stojanov, Victor Akinwande, Kun Zhang 0001. icml 2022: 11455-11472 [doi]

Towards Federated Bayesian Network Structure Learning with Continuous OptimizationIgnavier Ng, Kun Zhang 0001. aistats 2022: 8095-8111 [doi]

On the Convergence of Continuous Constrained Optimization for Structure LearningIgnavier Ng, Sébastien Lachapelle, Nan Rosemary Ke, Simon Lacoste-Julien, Kun Zhang 0001. aistats 2022: 8176-8198 [doi]

Conditional Contrastive Learning with KernelYao-Hung Hubert Tsai, Tianqin Li, Martin Q. Ma, Han Zhao 0002, Kun Zhang 0001, Louis-Philippe Morency, Ruslan Salakhutdinov. iclr 2022: [doi]

Unsupervised Image-to-Image Translation with Density Changing RegularizationShaoan Xie, Qirong Ho, Kun Zhang 0001. nips 2022: [doi]

Causal Discovery in Linear Latent Variable Models Subject to Measurement ErrorYuqin Yang, AmirEmad Ghassami, Mohamed S. Nafea, Negar Kiyavash, Kun Zhang 0001, Ilya Shpitser. nips 2022: [doi]

Learning Temporally Causal Latent Processes from General Temporal DataWeiran Yao, Yuewen Sun, Alex Ho, Changyin Sun, Kun Zhang 0001. iclr 2022: [doi]

Temporally Disentangled Representation LearningWeiran Yao, Guangyi Chen 0002, Kun Zhang 0001. nips 2022: [doi]

Adversarial Robustness Through the Lens of CausalityYonggang Zhang, Mingming Gong, Tongliang Liu, Gang Niu 0001, Xinmei Tian 0001, Bo Han 0003, Bernhard Schölkopf, Kun Zhang 0001. iclr 2022: [doi]

On the Identifiability of Nonlinear ICA: Sparsity and BeyondYujia Zheng, Ignavier Ng, Kun Zhang 0001. nips 2022: [doi]

Counterfactual Fairness with Partially Known Causal GraphAoqi Zuo, Susan Wei, Tongliang Liu, Bo Han 0003, Kun Zhang 0001, Mingming Gong. nips 2022: [doi]

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