PPaperPicks

Kun Zhang

Carnegie Mellon University, Department of Philosophy, Pittsburgh, PA, USA

81 papers at tracked venues · 75 at CORE A* · active 2024–2026

DBLP profile ↗ORCID 0000-0002-0738-9958 ↗Google Scholar ↗Homepage ↗

Venues

NeurIPS ×23ICLR ×22ICML ×17AAAI ×5AISTATS ×4ACL ×3CVPR ×2WWW ×2ICDM ×1IJCAI ×1SIGKDD ×1

Frequent coauthors

Guangyi Chen
×24
Yujia Zheng
×18
Ignavier Ng
×17
Biwei Huang
×17
Xinshuai Dong
×14
Mingming Gong
×14
Zijian Li
×14
Peter Spirtes
×12
Zeyu Tang
×10
Ruichu Cai
×9
Tongliang Liu
×9
Haoyue Dai
×9

Papers

  1. Advancing Reasoning in Diffusion Language Models with Denoising Process Rewards
    ACL 2026 ·
    Shaoan Xie
    ,
    Lingjing Kong
    ,
    Xiangchen Song
    ,
    Xinshuai Dong
    ,
    Guangyi Chen
    ,
    Eric P. Xing
    , Kun Zhang
  2. Horizontal and Vertical Federated Causal Structure Learning via Higher-order Cumulants
    AAAI 2026 ·
    Wei Chen
    ,
    Wanyang Gu
    ,
    Linjun Peng
    ,
    Ting Yan
    ,
    Ruichu Cai
    ,
    Zhifeng Hao
    , Kun Zhang
  3. Mechanistic Interpretability Should Prioritize Feature Consistency in Sparse Autoencoders
    ACL 2026 ·
    Xiangchen Song
    ,
    Aashiq Muhamed
    ,
    Yujia Zheng
    ,
    Lingjing Kong
    ,
    Zeyu Tang
    ,
    Mona T. Diab
    ,
    Virginia Smith
    , Kun Zhang
  4. Revisiting Differentiable Structure Learning: Inconsistency of L1 Penalty and Beyond
    AAAI 2026 ·
    Kaifeng Jin
    ,
    Ignavier Ng
    , Kun Zhang,
    Biwei Huang
  5. Text Embedding as Treatment: A Meta Causal Approach for Robust Sentiment Classification
    ACL 2026 ·
    Fengxiang Cheng
    ,
    Chuan Zhou
    ,
    Xiang Li
    ,
    Haoxuan Li
    ,
    Wen-li Wang
    ,
    Jinkun Chen
    ,
    Mingming Gong
    , Kun Zhang
  6. A General Representation-Based Approach to Multi-Source Domain Adaptation
    ICML 2025 ·
    Ignavier Ng
    ,
    Yan Li
    ,
    Zijian Li
    ,
    Yujia Zheng
    ,
    Guangyi Chen
    , Kun Zhang
  7. A Robust Method to Discover Causal or Anticausal Relation
    ICLR 2025 ·
    Yu Yao
    ,
    Yang Zhou
    ,
    Bo Han
    ,
    Mingming Gong
    , Kun Zhang,
    Tongliang Liu
  8. A Sample Efficient Conditional Independence Test in the Presence of Discretization
    ICML 2025 ·
    Boyang Sun
    ,
    Yu Yao
    ,
    Xinshuai Dong
    ,
    Zongfang Liu
    ,
    Tongliang Liu
    ,
    Yumou Qiu
    , Kun Zhang
  9. A Skewness-Based Criterion for Addressing Heteroscedastic Noise in Causal Discovery
    ICLR 2025 ·
    Yingyu Lin
    ,
    Yuxing Huang
    ,
    Wenqin Liu
    ,
    Haoran Deng
    ,
    Ignavier Ng
    , Kun Zhang,
    Mingming Gong
    ,
    Yian Ma
    ,
    Biwei Huang
  10. Analytic DAG Constraints for Differentiable DAG Learning
    ICLR 2025 ·
    Zhen Zhang
    ,
    Ignavier Ng
    ,
    Dong Gong
    ,
    Yuhang Liu
    ,
    Mingming Gong
    ,
    Biwei Huang
    , Kun Zhang,
    Anton van den Hengel
    ,
    Javen Qinfeng Shi
  11. Causal Graph Transformer for Treatment Effect Estimation Under Unknown Interference
    ICLR 2025 ·
    Anpeng Wu
    ,
    Haiyi Qiu
    ,
    Zhengming Chen
    ,
    Zijian Li
    ,
    Ruoxuan Xiong
    ,
    Fei Wu
    , Kun Zhang
  12. Causal Representation Learning from General Environments under Nonparametric Mixing
    AISTATS 2025 ·
    Ignavier Ng
    ,
    Shaoan Xie
    ,
    Xinshuai Dong
    ,
    Peter Spirtes
    , Kun Zhang
  13. Causal Representation Learning from Multimodal Biomedical Observations
    ICLR 2025 ·
    Yuewen Sun
    ,
    Lingjing Kong
    ,
    Guangyi Chen
    ,
    Loka Li
    ,
    Gongxu Luo
    ,
    Zijian Li
    ,
    Yixuan Zhang
    ,
    Yujia Zheng
    ,
    Mengyue Yang
    ,
    Petar Stojanov
    ,
    Eran Segal
    ,
    Eric P. Xing
    , Kun Zhang
  14. CausalVerse: Benchmarking Causal Representation Learning with Configurable High-Fidelity Simulations
    NeurIPS 2025 ·
    Guangyi Chen
    ,
    Yunlong Deng
    ,
    Peiyuan Zhu
    ,
    Yan Li
    ,
    Yifan Shen
    ,
    Zijian Li
    , Kun Zhang
  15. Classifying Treatment Responders: Bounds and Algorithms
    SIGKDD 2025 ·
    Anpeng Wu
    ,
    Haoxuan Li
    ,
    Chunyuan Zheng
    ,
    Kun Kuang
    , Kun Zhang
  16. Detecting Generated Images by Fitting Natural Image Distributions
    NeurIPS 2025 ·
    Yonggang Zhang
    ,
    Jun Nie
    ,
    Xinmei Tian
    ,
    Mingming Gong
    , Kun Zhang,
    Bo Han
  17. Differentiable Causal Discovery for Latent Hierarchical Causal Models
    ICLR 2025 ·
    Parjanya Prajakta Prashant
    ,
    Ignavier Ng
    , Kun Zhang,
    Biwei Huang
  18. Empowering LLMs with Logical Reasoning: A Comprehensive Survey
    IJCAI 2025 ·
    Fengxiang Cheng
    ,
    Haoxuan Li
    ,
    Fenrong Liu
    ,
    Robert van Rooij
    , Kun Zhang,
    Zhouchen Lin
  19. Extracting Rare Dependence Patterns via Adaptive Sample Reweighting
    ICML 2025 ·
    Yiqing Li
    ,
    Yewei Xia
    ,
    Xiaofei Wang
    ,
    Zhengming Chen
    ,
    Liuhua Peng
    ,
    Mingming Gong
    , Kun Zhang
  20. Fairness on Principal Stratum: A New Perspective on Counterfactual Fairness
    ICML 2025 ·
    Haoxuan Li
    ,
    Zeyu Tang
    ,
    Zhichao Jiang
    ,
    Zhuangyan Fang
    ,
    Yue Liu
    ,
    Zhi Geng
    , Kun Zhang
  21. Flow: Modularized Agentic Workflow Automation
    ICLR 2025 ·
    Boye Niu
    ,
    Yiliao Song
    ,
    Kai Lian
    ,
    Yifan Shen
    ,
    Yu Yao
    , Kun Zhang,
    Tongliang Liu
  22. Gene Regulatory Network Inference in the Presence of Selection Bias and Latent Confounders
    NeurIPS 2025 ·
    Gongxu Luo
    ,
    Haoyue Dai
    ,
    Longkang Li
    ,
    Chengqian Gao
    ,
    Boyang Sun
    , Kun Zhang
  23. Identification of Intermittent Temporal Latent Process
    ICLR 2025 ·
    Yuke Li
    ,
    Yujia Zheng
    ,
    Guangyi Chen
    , Kun Zhang,
    Heng Huang
  24. Identification of Latent Confounders via Investigating the Tensor Ranks of the Nonlinear Observations
    ICML 2025 ·
    Zhengming Chen
    ,
    Yewei Xia
    ,
    Feng Xie
    ,
    Jie Qiao
    ,
    Zhifeng Hao
    ,
    Ruichu Cai
    , Kun Zhang
  25. LLM Interpretability with Identifiable Temporal-Instantaneous Representation
    NeurIPS 2025 ·
    Xiangchen Song
    ,
    Jiaqi Sun
    ,
    Zijian Li
    ,
    Yujia Zheng
    , Kun Zhang
  26. Latent Variable Causal Discovery under Selection Bias
    ICML 2025 ·
    Haoyue Dai
    ,
    Yiwen Qiu
    ,
    Ignavier Ng
    ,
    Xinshuai Dong
    ,
    Peter Spirtes
    , Kun Zhang
  27. Learning Counterfactual Outcomes Under Rank Preservation
    NeurIPS 2025 ·
    Peng Wu
    ,
    Haoxuan Li
    ,
    Chunyuan Zheng
    ,
    Yan Zeng
    ,
    Jiawei Chen
    ,
    Yang Liu
    ,
    Ruocheng Guo
    , Kun Zhang
  28. Learning Disentangled Representation for Multi-Modal Time-Series Sensing Signals
    WWW 2025 ·
    Ruichu Cai
    ,
    Zhifan Jiang
    ,
    Kaitao Zheng
    ,
    Zijian Li
    ,
    Weilin Chen
    ,
    Xuexin Chen
    ,
    Yifan Shen
    ,
    Guangyi Chen
    ,
    Zhifeng Hao
    , Kun Zhang
  29. Learning Graph Invariance by Harnessing Spuriosity
    ICLR 2025 ·
    Tianjun Yao
    ,
    Yongqiang Chen
    ,
    Kai Hu
    ,
    Tongliang Liu
    , Kun Zhang,
    Zhiqiang Shen
  30. Learning Vision and Language Concepts for Controllable Image Generation
    ICML 2025 ·
    Shaoan Xie
    ,
    Lingjing Kong
    ,
    Yujia Zheng
    ,
    Zeyu Tang
    ,
    Eric P. Xing
    ,
    Guangyi Chen
    , Kun Zhang
  31. Noisy Test-Time Adaptation in Vision-Language Models
    ICLR 2025 ·
    Chentao Cao
    ,
    Zhun Zhong
    ,
    Zhanke Zhou
    ,
    Tongliang Liu
    ,
    Yang Liu
    , Kun Zhang,
    Bo Han
  32. Nonparametric Factor Analysis and Beyond
    AISTATS 2025 ·
    Yujia Zheng
    ,
    Yang Liu
    ,
    Jiaxiong Yao
    ,
    Yingyao Hu
    , Kun Zhang
  33. Nonparametric Identification of Latent Concepts
    ICML 2025 ·
    Yujia Zheng
    ,
    Shaoan Xie
    , Kun Zhang
  34. OCRT: Boosting Foundation Models in the Open World with Object-Concept-Relation Triad
    CVPR 2025 ·
    Luyao Tang
    ,
    Yuxuan Yuan
    ,
    Chaoqi Chen
    ,
    Zeyu Zhang
    ,
    Yue Huang
    , Kun Zhang
  35. On the Identification of Temporal Causal Representation with Instantaneous Dependence
    ICLR 2025 ·
    Zijian Li
    ,
    Yifan Shen
    ,
    Kaitao Zheng
    ,
    Ruichu Cai
    ,
    Xiangchen Song
    ,
    Mingming Gong
    ,
    Guangyi Chen
    , Kun Zhang
  36. Online Time Series Forecasting with Theoretical Guarantees
    NeurIPS 2025 ·
    Zijian Li
    ,
    Changze Zhou
    ,
    Minghao Fu
    ,
    Sanjay Manjunath
    ,
    Fan Feng
    ,
    Guangyi Chen
    ,
    Yingyao Hu
    ,
    Ruichu Cai
    , Kun Zhang
  37. Permutation-based Rank Test in the Presence of Discretization and Application in Causal Discovery with Mixed Data
    ICML 2025 ·
    Xinshuai Dong
    ,
    Ignavier Ng
    ,
    Boyang Sun
    ,
    Haoyue Dai
    ,
    Guang-Yuan Hao
    ,
    Shunxing Fan
    ,
    Peter Spirtes
    ,
    Yumou Qiu
    , Kun Zhang
  38. Practical Kernel Selection for Kernel-based Conditional Independence Test
    NeurIPS 2025 ·
    Wenjie Wang
    ,
    Mingming Gong
    ,
    Biwei Huang
    ,
    James Bailey
    ,
    Bo Han
    , Kun Zhang,
    Feng Liu
  39. Prompting Fairness: Integrating Causality to Debias Large Language Models
    ICLR 2025 ·
    Jingling Li
    ,
    Zeyu Tang
    ,
    Xiaoyu Liu
    ,
    Peter Spirtes
    , Kun Zhang,
    Liu Leqi
    ,
    Yang Liu
  40. Reflection-Window Decoding: Text Generation with Selective Refinement
    ICML 2025 ·
    Zeyu Tang
    ,
    Zhenhao Chen
    ,
    Xiangchen Song
    ,
    Loka Li
    ,
    Yunlong Deng
    ,
    Yifan Shen
    ,
    Guangyi Chen
    ,
    Peter Spirtes
    , Kun Zhang
  41. SmartCLIP: Modular Vision-language Alignment with Identification Guarantees
    CVPR 2025 ·
    Shaoan Xie
    ,
    Lingjing
    ,
    Yujia Zheng
    ,
    Yu Yao
    ,
    Zeyu Tang
    ,
    Eric P. Xing
    ,
    Guangyi Chen
    , Kun Zhang
  42. Synergy Between Sufficient Changes and Sparse Mixing Procedure for Disentangled Representation Learning
    ICLR 2025 ·
    Zijian Li
    ,
    Shunxing Fan
    ,
    Yujia Zheng
    ,
    Ignavier Ng
    ,
    Shaoan Xie
    ,
    Guangyi Chen
    ,
    Xinshuai Dong
    ,
    Ruichu Cai
    , Kun Zhang
  43. The third pillar of causal analysis? A measurement perspective on causal representations
    NeurIPS 2025 ·
    Dingling Yao
    ,
    Shimeng Huang
    ,
    Riccardo Cadei
    , Kun Zhang,
    Francesco Locatello
  44. Thought Communication in Multiagent Collaboration
    NeurIPS 2025 ·
    Yujia Zheng
    ,
    Zhuokai Zhao
    ,
    Zijian Li
    ,
    Yaqi Xie
    ,
    Mingze Gao
    ,
    Lizhu Zhang
    , Kun Zhang
  45. Towards Accurate Time Series Forecasting via Implicit Decoding
    NeurIPS 2025 ·
    Xinyu Li
    ,
    Yuchen Luo
    ,
    Hao Wang
    ,
    Haoxuan Li
    ,
    Liuhua Peng
    ,
    Feng Liu
    ,
    Yandong Guo
    , Kun Zhang,
    Mingming Gong
  46. Towards Identifiability of Hierarchical Temporal Causal Representation Learning
    NeurIPS 2025 ·
    Zijian Li
    ,
    Minghao Fu
    ,
    Junxian Huang
    ,
    Yifan Shen
    ,
    Ruichu Cai
    ,
    Yuewen Sun
    ,
    Guangyi Chen
    , Kun Zhang
  47. Towards Self-Refinement of Vision-Language Models with Triangular Consistency
    NeurIPS 2025 ·
    Yunlong Deng
    ,
    Guangyi Chen
    ,
    Tianpei Gu
    ,
    Lingjing Kong
    ,
    Yan Li
    ,
    Zeyu Tang
    , Kun Zhang
  48. Type Information-Assisted Self-Supervised Knowledge Graph Denoising
    AISTATS 2025 ·
    Jiaqi Sun
    ,
    Yujia Zheng
    ,
    Xinshuai Dong
    ,
    Haoyue Dai
    , Kun Zhang
  49. When Selection Meets Intervention: Additional Complexities in Causal Discovery
    ICLR 2025 ·
    Haoyue Dai
    ,
    Ignavier Ng
    ,
    Jianle Sun
    ,
    Zeyu Tang
    ,
    Gongxu Luo
    ,
    Xinshuai Dong
    ,
    Peter Spirtes
    , Kun Zhang
  50. A Versatile Causal Discovery Framework to Allow Causally-Related Hidden Variables
    ICLR 2024 ·
    Xinshuai Dong
    ,
    Biwei Huang
    ,
    Ignavier Ng
    ,
    Xiangchen Song
    ,
    Yujia Zheng
    ,
    Songyao Jin
    ,
    Roberto Legaspi
    ,
    Peter Spirtes
    , Kun Zhang
  51. ACAMDA: Improving Data Efficiency in Reinforcement Learning through Guided Counterfactual Data Augmentation
    AAAI 2024 ·
    Yuewen Sun
    ,
    Erli Wang
    ,
    Biwei Huang
    ,
    Chaochao Lu
    ,
    Lu Feng
    ,
    Changyin Sun
    , Kun Zhang
  52. CaRiNG: Learning Temporal Causal Representation under Non-Invertible Generation Process
    ICML 2024 ·
    Guangyi Chen
    ,
    Yifan Shen
    ,
    Zhenhao Chen
    ,
    Xiangchen Song
    ,
    Yuewen Sun
    ,
    Weiran Yao
    ,
    Xiao Liu
    , Kun Zhang
  53. Causal Representation Learning from Multiple Distributions: A General Setting
    ICML 2024 · Kun Zhang,
    Shaoan Xie
    ,
    Ignavier Ng
    ,
    Yujia Zheng
  54. Causal Structure Recovery with Latent Variables under Milder Distributional and Graphical Assumptions
    ICLR 2024 ·
    Xiu-Chuan Li
    , Kun Zhang,
    Tongliang Liu
  55. Causal Temporal Representation Learning with Nonstationary Sparse Transition
    NeurIPS 2024 ·
    Xiangchen Song
    ,
    Zijian Li
    ,
    Guangyi Chen
    ,
    Yujia Zheng
    ,
    Yewen Fan
    ,
    Xinshuai Dong
    , Kun Zhang
  56. Detecting and Identifying Selection Structure in Sequential Data
    ICML 2024 ·
    Yujia Zheng
    ,
    Zeyu Tang
    ,
    Yiwen Qiu
    ,
    Bernhard Schölkopf
    , Kun Zhang
  57. Discovery of the Hidden World with Large Language Models
    NeurIPS 2024 ·
    Chenxi Liu
    ,
    Yongqiang Chen
    ,
    Tongliang Liu
    ,
    Mingming Gong
    ,
    James Cheng
    ,
    Bo Han
    , Kun Zhang
  58. Empowering Graph Invariance Learning with Deep Spurious Infomax
    ICML 2024 ·
    Tianjun Yao
    ,
    Yongqiang Chen
    ,
    Zhenhao Chen
    ,
    Kai Hu
    ,
    Zhiqiang Shen
    , Kun Zhang
  59. Federated Causal Discovery from Heterogeneous Data
    ICLR 2024 ·
    Loka Li
    ,
    Ignavier Ng
    ,
    Gongxu Luo
    ,
    Biwei Huang
    ,
    Guangyi Chen
    ,
    Tongliang Liu
    ,
    Bin Gu
    , Kun Zhang
  60. Gene Regulatory Network Inference in the Presence of Dropouts: a Causal View
    ICLR 2024 ·
    Haoyue Dai
    ,
    Ignavier Ng
    ,
    Gongxu Luo
    ,
    Peter Spirtes
    ,
    Petar Stojanov
    , Kun Zhang
  61. IEEE International Conference on Data Mining, ICDM 2024, Abu Dhabi, United Arab Emirates, December 9-12, 2024
    ICDM 2024 ·
    Elena Baralis
    , Kun Zhang,
    Ernesto Damiani
    ,
    Mérouane Debbah
    ,
    Panos Kalnis
    ,
    Xindong Wu
  62. Identifiable Latent Polynomial Causal Models through the Lens of Change
    ICLR 2024 ·
    Yuhang Liu
    ,
    Zhen Zhang
    ,
    Dong Gong
    ,
    Mingming Gong
    ,
    Biwei Huang
    ,
    Anton van den Hengel
    , Kun Zhang,
    Javen Qinfeng Shi
  63. Identification of Causal Structure with Latent Variables Based on Higher Order Cumulants
    AAAI 2024 ·
    Wei Chen
    ,
    Zhiyi Huang
    ,
    Ruichu Cai
    ,
    Zhifeng Hao
    , Kun Zhang
  64. Identifying Latent State-Transition Processes for Individualized Reinforcement Learning
    NeurIPS 2024 ·
    Yuewen Sun
    ,
    Biwei Huang
    ,
    Yu Yao
    ,
    Donghuo Zeng
    ,
    Xinshuai Dong
    ,
    Songyao Jin
    ,
    Boyang Sun
    ,
    Roberto Legaspi
    ,
    Kazushi Ikeda
    ,
    Peter Spirtes
    , Kun Zhang
  65. Identifying Selections for Unsupervised Subtask Discovery
    NeurIPS 2024 ·
    Yiwen Qiu
    ,
    Yujia Zheng
    , Kun Zhang
  66. LLCP: Learning Latent Causal Processes for Reasoning-based Video Question Answer
    ICLR 2024 ·
    Guangyi Chen
    ,
    Yuke Li
    ,
    Xiao Liu
    ,
    Zijian Li
    ,
    Eman Al Suradi
    ,
    Donglai Wei
    , Kun Zhang
  67. Learning Discrete Concepts in Latent Hierarchical Models
    NeurIPS 2024 ·
    Lingjing Kong
    ,
    Guangyi Chen
    ,
    Biwei Huang
    ,
    Eric P. Xing
    ,
    Yuejie Chi
    , Kun Zhang
  68. Learning Discrete Latent Variable Structures with Tensor Rank Conditions
    NeurIPS 2024 ·
    Zhengming Chen
    ,
    Ruichu Cai
    ,
    Feng Xie
    ,
    Jie Qiao
    ,
    Anpeng Wu
    ,
    Zijian Li
    ,
    Zhifeng Hao
    , Kun Zhang
  69. Local Causal Discovery with Linear non-Gaussian Cyclic Models
    AISTATS 2024 ·
    Haoyue Dai
    ,
    Ignavier Ng
    ,
    Yujia Zheng
    ,
    Zhengqing Gao
    , Kun Zhang
  70. MuGSI: Distilling GNNs with Multi-Granularity Structural Information for Graph Classification
    WWW 2024 ·
    Tianjun Yao
    ,
    Jiaqi Sun
    ,
    Defu Cao
    , Kun Zhang,
    Guangyi Chen
  71. Natural Counterfactuals With Necessary Backtracking
    NeurIPS 2024 ·
    Guang-Yuan Hao
    ,
    Jiji Zhang
    ,
    Biwei Huang
    ,
    Hao Wang
    , Kun Zhang
  72. Neural Collapse Inspired Feature Alignment for Out-of-Distribution Generalization
    NeurIPS 2024 ·
    Zhikang Chen
    ,
    Min Zhang
    ,
    Sen Cui
    ,
    Haoxuan Li
    ,
    Gang Niu
    ,
    Mingming Gong
    ,
    Changshui Zhang
    , Kun Zhang
  73. On Causal Discovery in the Presence of Deterministic Relations
    NeurIPS 2024 ·
    Loka Li
    ,
    Haoyue Dai
    ,
    Hanin Al Ghothani
    ,
    Biwei Huang
    ,
    Jiji Zhang
    ,
    Shahar Harel
    ,
    Isaac Bentwich
    ,
    Guangyi Chen
    , Kun Zhang
  74. On the Parameter Identifiability of Partially Observed Linear Causal Models
    NeurIPS 2024 ·
    Xinshuai Dong
    ,
    Ignavier Ng
    ,
    Biwei Huang
    ,
    Yuewen Sun
    ,
    Songyao Jin
    ,
    Roberto Legaspi
    ,
    Peter Spirtes
    , Kun Zhang
  75. On the Recoverability of Causal Relations from Temporally Aggregated I.I.D. Data
    ICML 2024 ·
    Shunxing Fan
    ,
    Mingming Gong
    , Kun Zhang
  76. Optimal Kernel Choice for Score Function-based Causal Discovery
    ICML 2024 ·
    Wenjie Wang
    ,
    Biwei Huang
    ,
    Feng Liu
    ,
    Xinge You
    ,
    Tongliang Liu
    , Kun Zhang,
    Mingming Gong
  77. Procedural Fairness Through Decoupling Objectionable Data Generating Components
    ICLR 2024 ·
    Zeyu Tang
    ,
    Jialu Wang
    ,
    Yang Liu
    ,
    Peter Spirtes
    , Kun Zhang
  78. S3A: Towards Realistic Zero-Shot Classification via Self Structural Semantic Alignment
    AAAI 2024 ·
    Sheng Zhang
    ,
    Muzammal Naseer
    ,
    Guangyi Chen
    ,
    Zhiqiang Shen
    ,
    Salman H. Khan
    , Kun Zhang,
    Fahad Khan
  79. Score-Based Causal Discovery of Latent Variable Causal Models
    ICML 2024 ·
    Ignavier Ng
    ,
    Xinshuai Dong
    ,
    Haoyue Dai
    ,
    Biwei Huang
    ,
    Peter Spirtes
    , Kun Zhang
  80. Structural Estimation of Partially Observed Linear Non-Gaussian Acyclic Model: A Practical Approach with Identifiability
    ICLR 2024 ·
    Songyao Jin
    ,
    Feng Xie
    ,
    Guangyi Chen
    ,
    Biwei Huang
    ,
    Zhengming Chen
    ,
    Xinshuai Dong
    , Kun Zhang
  81. Towards Understanding Extrapolation: a Causal Lens
    NeurIPS 2024 ·
    Lingjing Kong
    ,
    Guangyi Chen
    ,
    Petar Stojanov
    ,
    Haoxuan Li
    ,
    Eric P. Xing
    , Kun Zhang