Zheng, Yujia

28 publications

ICML 2025 A General Representation-Based Approach to Multi-Source Domain Adaptation Ignavier Ng, Yan Li, Zijian Li, Yujia Zheng, Guangyi Chen, Kun Zhang

ICLR 2025 Causal Representation Learning from Multimodal Biomedical Observations 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

ICLR 2025 Identification of Intermittent Temporal Latent Process Yuke Li, Yujia Zheng, Guangyi Chen, Kun Zhang, Heng Huang

NeurIPS 2025 LLM Interpretability with Identifiable Temporal-Instantaneous Representation Xiangchen Song, Jiaqi Sun, Zijian Li, Yujia Zheng, Kun Zhang

ICML 2025 Learning Vision and Language Concepts for Controllable Image Generation Shaoan Xie, Lingjing Kong, Yujia Zheng, Zeyu Tang, Eric Xing, Guangyi Chen, Kun Zhang

AISTATS 2025 Nonparametric Factor Analysis and Beyond Yujia Zheng, Yang Liu, Jiaxiong Yao, Yingyao Hu, Kun Zhang

ICML 2025 Nonparametric Identification of Latent Concepts Yujia Zheng, Shaoan Xie, Kun Zhang

CVPR 2025 SmartCLIP: Modular Vision-Language Alignment with Identification Guarantees Shaoan Xie, Lingjing Lingjing, Yujia Zheng, Yu Yao, Zeyu Tang, Eric P. Xing, Guangyi Chen, Kun Zhang

ICLR 2025 Synergy Between Sufficient Changes and Sparse Mixing Procedure for Disentangled Representation Learning Zijian Li, Shunxing Fan, Yujia Zheng, Ignavier Ng, Shaoan Xie, Guangyi Chen, Xinshuai Dong, Ruichu Cai, Kun Zhang

ICLRW 2025 Synthetic Poisoning Attacks: The Impact of Poisoned MRI Image on U-Net Brain Tumor Segmentation Tianhao Li, Tianyu Zeng, Yujia Zheng, Zhang Chulong, Jingyu Lu, Haotian Huang, Chuangxin Chu, Fang-Fang Yin, Zhenyu Yang

NeurIPS 2025 Thought Communication in Multiagent Collaboration Yujia Zheng, Zhuokai Zhao, Zijian Li, Yaqi Xie, Mingze Gao, Lizhu Zhang, Kun Zhang

AISTATS 2025 Type Information-Assisted Self-Supervised Knowledge Graph Denoising Jiaqi Sun, Yujia Zheng, Xinshuai Dong, Haoyue Dai, Kun Zhang

ICLR 2024 A Versatile Causal Discovery Framework to Allow Causally-Related Hidden Variables Xinshuai Dong, Biwei Huang, Ignavier Ng, Xiangchen Song, Yujia Zheng, Songyao Jin, Roberto Legaspi, Peter Spirtes, Kun Zhang

ICML 2024 Causal Representation Learning from Multiple Distributions: A General Setting Kun Zhang, Shaoan Xie, Ignavier Ng, Yujia Zheng

NeurIPS 2024 Causal Temporal Representation Learning with Nonstationary Sparse Transition Xiangchen Song, Zijian Li, Guangyi Chen, Yujia Zheng, Yewen Fan, Xinshuai Dong, Kun Zhang

MLOSS 2024 Causal-Learn: Causal Discovery in Python Yujia Zheng, Biwei Huang, Wei Chen, Joseph Ramsey, Mingming Gong, Ruichu Cai, Shohei Shimizu, Peter Spirtes, Kun Zhang

ICML 2024 Detecting and Identifying Selection Structure in Sequential Data Yujia Zheng, Zeyu Tang, Yiwen Qiu, Bernhard Schölkopf, Kun Zhang

NeurIPS 2024 Identifying Selections for Unsupervised Subtask Discovery Yiwen Qiu, Yujia Zheng, Kun Zhang

AISTATS 2024 Local Causal Discovery with Linear Non-Gaussian Cyclic Models Haoyue Dai, Ignavier Ng, Yujia Zheng, Zhengqing Gao, Kun Zhang

NeurIPSW 2024 Provably Learning Concepts by Comparison Yujia Zheng, Shaoan Xie, Kun Zhang

ICLR 2023 Generalized Precision Matrix for Scalable Estimation of Nonparametric Markov Networks Yujia Zheng, Ignavier Ng, Yewen Fan, Kun Zhang

NeurIPS 2023 Generalizing Nonlinear ICA Beyond Structural Sparsity Yujia Zheng, Kun Zhang

NeurIPS 2023 On the Identifiability of Sparse ICA Without Assuming Non-Gaussianity Ignavier Ng, Yujia Zheng, Xinshuai Dong, Kun Zhang

ICLRW 2022 On the Identifiability of Nonlinear ICA with Unconditional Priors Yujia Zheng, Ignavier Ng, Kun Zhang

NeurIPS 2022 On the Identifiability of Nonlinear ICA: Sparsity and Beyond Yujia Zheng, Ignavier Ng, Kun Zhang

ICML 2022 Partial Disentanglement for Domain Adaptation Lingjing Kong, Shaoan Xie, Weiran Yao, Yujia Zheng, Guangyi Chen, Petar Stojanov, Victor Akinwande, Kun Zhang

AAAI 2021 Cold-Start Sequential Recommendation via Meta Learner Yujia Zheng, Siyi Liu, Zekun Li, Shu Wu

NeurIPS 2021 Reliable Causal Discovery with Improved Exact Search and Weaker Assumptions Ignavier Ng, Yujia Zheng, Jiji Zhang, Kun Zhang