ReFall: Real-Time Fall Detection of Continuous Depth Maps with RFD-Net. - Yujia Zheng 001; Siyi Liu; Zairong Wang; Yunbo Rao (IGTA, 2019)

Balancing Multi-level Interactions for Session-based Recommendation. - Yujia Zheng 001; Siyi Liu; Zailei Zhou (CoRR, 2019)

DGTN: Dual-channel Graph Transition Network for Session-based Recommendation. - Yujia Zheng 001; Siyi Liu; Zekun Li 001; Shu Wu (ICDM (Workshops), 2020)

Long-tail Session-based Recommendation. - Siyi Liu; Yujia Zheng 001 (RecSys, 2020)

Heterogeneous Graph Collaborative Filtering. - Zekun Li 001; Yujia Zheng 001; Shu Wu; Xiaoyu Zhang 002; Liang Wang 001 (CoRR, 2020)

Cold-start Sequential Recommendation via Meta Learner. - Yujia Zheng 001; Siyi Liu; Zekun Li 001; Shu Wu (AAAI, 2021)

Learning Elastic Embeddings for Customizing On-Device Recommenders. - Tong Chen 005; Hongzhi Yin; Yujia Zheng 001; Zi Huang; Yang Wang 023; Meng Wang 001 (KDD, 2021)

Reliable Causal Discovery with Improved Exact Search and Weaker Assumptions. - Ignavier Ng; Yujia Zheng 001; Jiji Zhang; Kun Zhang 001 (NeurIPS, 2021)

Source Free Unsupervised Graph Domain Adaptation. - Haitao Mao; Lun Du; Yujia Zheng 001; Qiang Fu 015; Zelin Li 001; Xu Chen 022; Shi Han; Dongmei Zhang 001 (CoRR, 2021)

Learning Task-Aware Effective Brain Connectivity for fMRI Analysis with Graph Neural Networks (Extended Abstract). - Yue Yu 001; Xuan Kan; Hejie Cui; Ran Xu 002; Yujia Zheng 001; Xiangchen Song; Yanqiao Zhu 001; Kun Zhang 001; Razieh Nabi; Ying Guo 003; Chao Zhang 014; Carl Yang 001 (IEEE Big Data, 2022)

Partial disentanglement for domain adaptation. - Lingjing Kong; Shaoan Xie; Weiran Yao; Yujia Zheng 001; Guangyi Chen 002; Petar Stojanov; Victor Akinwande; Kun Zhang 001 (ICML, 2022)

On the Identifiability of Nonlinear ICA: Sparsity and Beyond. - Yujia Zheng 001; Ignavier Ng; Kun Zhang 001 (NeurIPS, 2022)

Whole Page Unbiased Learning to Rank. - Haitao Mao; Lixin Zou; Yujia Zheng 001; Jiliang Tang; Xiaokai Chu; Jiashu Zhao; Dawei Yin (CoRR, 2022)

Learning Task-Aware Effective Brain Connectivity for fMRI Analysis with Graph Neural Networks. - Yue Yu 001; Xuan Kan; Hejie Cui; Ran Xu 002; Yujia Zheng 001; Xiangchen Song; Yanqiao Zhu 001; Kun Zhang 001; Razieh Nabi; Ying Guo 003; Chao Zhang 014; Carl Yang 001 (CoRR, 2022)

Generalized Precision Matrix for Scalable Estimation of Nonparametric Markov Networks. - Yujia Zheng 001; Ignavier Ng; Yewen Fan; Kun Zhang 001 (ICLR, 2023)

Deep Dag Learning of Effective Brain Connectivity for FMRI Analysis. - Yue Yu 001; Xuan Kan; Hejie Cui; Ran Xu 002; Yujia Zheng 001; Xiangchen Song; Yanqiao Zhu 001; Kun Zhang 001; Razieh Nabi; Ying Guo 003; Chao Zhang 014; Carl Yang 001 (ISBI, 2023)

On the Identifiability of Sparse ICA without Assuming Non-Gaussianity. - Ignavier Ng; Yujia Zheng 001; Xinshuai Dong; Kun Zhang 001 (NeurIPS, 2023)

Generalizing Nonlinear ICA Beyond Structural Sparsity. - Yujia Zheng 001; Kun Zhang 001 (NeurIPS, 2023)

Understanding Breast Cancer Survival: Using Causality and Language Models on Multi-omics Data. - Mugariya Farooq; Shahad Hardan; Aigerim Zhumbhayeva; Yujia Zheng 001; Preslav Nakov; Kun Zhang 001 (CoRR, 2023)

Partial Identifiability for Domain Adaptation. - Lingjing Kong; Shaoan Xie; Weiran Yao; Yujia Zheng 001; Guangyi Chen 002; Petar Stojanov; Victor Akinwande; Kun Zhang 001 (CoRR, 2023)

Local Causal Discovery with Linear non-Gaussian Cyclic Models. - Haoyue Dai; Ignavier Ng; Yujia Zheng 001; Zhengqing Gao; Kun Zhang 001 (AISTATS, 2024)

A Versatile Causal Discovery Framework to Allow Causally-Related Hidden Variables. - Xinshuai Dong; Biwei Huang; Ignavier Ng; Xiangchen Song; Yujia Zheng 001; Songyao Jin; Roberto Legaspi; Peter Spirtes; Kun Zhang 001 (ICLR, 2024)

Causal Representation Learning from Multiple Distributions: A General Setting. - Kun Zhang 001; Shaoan Xie; Ignavier Ng; Yujia Zheng 001 (ICML, 2024)

Detecting and Identifying Selection Structure in Sequential Data. - Yujia Zheng 001; Zeyu Tang 002; Yiwen Qiu; Bernhard Schölkopf; Kun Zhang 001 (ICML, 2024)

Identifying Selections for Unsupervised Subtask Discovery. - Yiwen Qiu; Yujia Zheng 001; Kun Zhang 001 (NeurIPS, 2024)

Causal Temporal Representation Learning with Nonstationary Sparse Transition. - Xiangchen Song; Zijian Li 001; Guangyi Chen 002; Yujia Zheng 001; Yewen Fan; Xinshuai Dong; Kun Zhang 001 (NeurIPS, 2024)

Source Free Graph Unsupervised Domain Adaptation. - Haitao Mao; Lun Du; Yujia Zheng 001; Qiang Fu 015; Zelin Li 001; Xu Chen 022; Shi Han; Dongmei Zhang 001 (WSDM, 2024)

Whole Page Unbiased Learning to Rank. - Haitao Mao; Lixin Zou; Yujia Zheng 001; Jiliang Tang; Xiaokai Chu; Jiashu Zhao; Qian Wang 002; Dawei Yin (WWW, 2024)

Cloud Atlas: Efficient Fault Localization for Cloud Systems using Language Models and Causal Insight. - Zhiqiang Xie; Yujia Zheng 001; Lizi Ottens; Kun Zhang 001; Christos Kozyrakis; Jonathan Mace (CoRR, 2024)

Causality for Large Language Models. - Anpeng Wu; Kun Kuang; Minqin Zhu; Yingrong Wang; Yujia Zheng 001; Kairong Han; Baohong Li; Guangyi Chen 002; Fei Wu 001; Kun Zhang 001 (CoRR, 2024)

Causal Representation Learning from Multimodal Biological Observations. - Yuewen Sun; Lingjing Kong; Guangyi Chen 002; Loka Li; Gongxu Luo; Zijian Li 001; Yixuan Zhang 001; Yujia Zheng 001; Mengyue Yang; Petar Stojanov; Eran Segal; Eric P. Xing; et al. (CoRR, 2024)

Causal-learn: Causal Discovery in Python. - Yujia Zheng 001; Biwei Huang; Wei Chen 103; Joseph D. Ramsey; Mingming Gong; Ruichu Cai; Shohei Shimizu; Peter Spirtes; Kun Zhang 001 (J. Mach. Learn. Res., 2024)

Type Information-Assisted Self-Supervised Knowledge Graph Denoising. - Jiaqi Sun; Yujia Zheng 001; Xinshuai Dong; Haoyue Dai; Kun Zhang 001 (AISTATS, 2025)

Nonparametric Factor Analysis and Beyond. - Yujia Zheng 001; Yang Liu 018; Jiaxiong Yao; Yingyao Hu; Kun Zhang 001 (AISTATS, 2025)

SmartCLIP: Modular Vision-language Alignment with Identification Guarantees. - Shaoan Xie; Lingjing; Yujia Zheng 001; Yu Yao 005; Zeyu Tang 002; Eric P. Xing; Guangyi Chen 002; Kun Zhang 001 (CVPR, 2025)

Synergy Between Sufficient Changes and Sparse Mixing Procedure for Disentangled Representation Learning. - Zijian Li 001; Shunxing Fan; Yujia Zheng 001; Ignavier Ng; Shaoan Xie; Guangyi Chen 002; Xinshuai Dong; Ruichu Cai; Kun Zhang 001 (ICLR, 2025)

Identification of Intermittent Temporal Latent Process. - Yuke Li; Yujia Zheng 001; Guangyi Chen 002; Kun Zhang 001; Heng Huang (ICLR, 2025)

Causal Representation Learning from Multimodal Biomedical Observations. - Yuewen Sun; Lingjing Kong; Guangyi Chen 002; Loka Li; Gongxu Luo; Zijian Li 001; Yixuan Zhang 001; Yujia Zheng 001; Mengyue Yang; Petar Stojanov; Eran Segal; Eric P. Xing; et al. (ICLR, 2025)

Identification of Nonparametric Dynamic Causal Structure and Latent Process in Climate System. - Minghao Fu 002; Biwei Huang; Zijian Li 001; Yujia Zheng 001; Ignavier Ng; Yingyao Hu; Kun Zhang 001 (CoRR, 2025)

Position: Mechanistic Interpretability Should Prioritize Feature Consistency in SAEs. - Xiangchen Song; Aashiq Muhamed; Yujia Zheng 001; Lingjing Kong; Zeyu Tang 002; Mona T. Diab; Virginia Smith; Kun Zhang 001 (CoRR, 2025)

SmartCLIP: Modular Vision-language Alignment with Identification Guarantees. - Shaoan Xie; Lingjing Kong; Yujia Zheng 001; Yu Yao 005; Zeyu Tang 002; Eric P. Xing; Guangyi Chen 002; Kun Zhang 001 (CoRR, 2025)