Yujia Zheng

According to our database, Yujia Zheng authored at least 41 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

SmartCLIP: Modular Vision-language Alignment with Identification Guarantees.

Shaoan Xie, Lingjing Kong, Yujia Zheng, Yu Yao, Zeyu Tang, Eric P. Xing, Guangyi Chen, Kun Zhang

CoRR, July, 2025

Position: Mechanistic Interpretability Should Prioritize Feature Consistency in SAEs.

Xiangchen Song, Aashiq Muhamed, Yujia Zheng, Lingjing Kong, Zeyu Tang, Mona T. Diab, Virginia Smith, Kun Zhang

CoRR, May, 2025

Identification of Nonparametric Dynamic Causal Structure and Latent Process in Climate System.

Minghao Fu, Biwei Huang, Zijian Li, Yujia Zheng, Ignavier Ng, Yingyao Hu, Kun Zhang

CoRR, January, 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

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Identification of Intermittent Temporal Latent Process.

Yuke Li, Yujia Zheng, Guangyi Chen, Kun Zhang, Heng Huang

Proceedings of the Thirteenth International Conference on Learning Representations, 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

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

SmartCLIP: Modular Vision-language Alignment with Identification Guarantees.

Shaoan Xie, Lingjing, Yujia Zheng, Yu Yao, Zeyu Tang, Eric P. Xing, Guangyi Chen, Kun Zhang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Nonparametric Factor Analysis and Beyond.

Yujia Zheng, Yang Liu, Jiaxiong Yao, Yingyao Hu, Kun Zhang

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

Type Information-Assisted Self-Supervised Knowledge Graph Denoising.

Jiaqi Sun, Yujia Zheng, Xinshuai Dong, Haoyue Dai, Kun Zhang

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2024

Causal-learn: Causal Discovery in Python.

Yujia Zheng, Biwei Huang, Wei Chen, Joseph D. Ramsey, Mingming Gong, Ruichu Cai, Shohei Shimizu, Peter Spirtes, Kun Zhang

J. Mach. Learn. Res., 2024

Causal Representation Learning from Multimodal Biological 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

CoRR, 2024

Causality for Large Language Models.

Anpeng Wu, Kun Kuang, Minqin Zhu, Yingrong Wang, Yujia Zheng, Kairong Han, Baohong Li, Guangyi Chen, Fei Wu, Kun Zhang

CoRR, 2024

Cloud Atlas: Efficient Fault Localization for Cloud Systems using Language Models and Causal Insight.

Zhiqiang Xie, Yujia Zheng, Lizi Ottens, Kun Zhang, Christos Kozyrakis, Jonathan Mace

CoRR, 2024

Whole Page Unbiased Learning to Rank.

Haitao Mao, Lixin Zou, Yujia Zheng, Jiliang Tang, Xiaokai Chu, Jiashu Zhao, Qian Wang, Dawei Yin

Proceedings of the ACM on Web Conference 2024, 2024

Source Free Graph Unsupervised Domain Adaptation.

Haitao Mao, Lun Du, Yujia Zheng, Qiang Fu, Zelin Li, Xu Chen, Shi Han, Dongmei Zhang

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

Causal Temporal Representation Learning with Nonstationary Sparse Transition.

Xiangchen Song, Zijian Li, Guangyi Chen, Yujia Zheng, Yewen Fan, Xinshuai Dong, Kun Zhang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Identifying Selections for Unsupervised Subtask Discovery.

Yiwen Qiu, Yujia Zheng, Kun Zhang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Detecting and Identifying Selection Structure in Sequential Data.

Yujia Zheng, Zeyu Tang, Yiwen Qiu, Bernhard Schölkopf, Kun Zhang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Causal Representation Learning from Multiple Distributions: A General Setting.

Kun Zhang, Shaoan Xie, Ignavier Ng, Yujia Zheng

Proceedings of the Forty-first International Conference on Machine Learning, 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

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Local Causal Discovery with Linear non-Gaussian Cyclic Models.

Haoyue Dai, Ignavier Ng, Yujia Zheng, Zhengqing Gao, Kun Zhang

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Partial Identifiability for Domain Adaptation.

Lingjing Kong, Shaoan Xie, Weiran Yao, Yujia Zheng, Guangyi Chen, Petar Stojanov, Victor Akinwande, Kun Zhang

CoRR, 2023

Understanding Breast Cancer Survival: Using Causality and Language Models on Multi-omics Data.

Mugariya Farooq, Shahad Hardan, Aigerim Zhumbhayeva, Yujia Zheng, Preslav Nakov, Kun Zhang

CoRR, 2023

Generalizing Nonlinear ICA Beyond Structural Sparsity.

Yujia Zheng, Kun Zhang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

On the Identifiability of Sparse ICA without Assuming Non-Gaussianity.

Ignavier Ng, Yujia Zheng, Xinshuai Dong, Kun Zhang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Deep Dag Learning of Effective Brain Connectivity for FMRI Analysis.

Yue Yu, Xuan Kan, Hejie Cui, Ran Xu, Yujia Zheng, Xiangchen Song, Yanqiao Zhu, Kun Zhang, Razieh Nabi, Ying Guo, Chao Zhang, Carl Yang

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Generalized Precision Matrix for Scalable Estimation of Nonparametric Markov Networks.

Yujia Zheng, Ignavier Ng, Yewen Fan, Kun Zhang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Learning Task-Aware Effective Brain Connectivity for fMRI Analysis with Graph Neural Networks.

Yue Yu, Xuan Kan, Hejie Cui, Ran Xu, Yujia Zheng, Xiangchen Song, Yanqiao Zhu, Kun Zhang, Razieh Nabi, Ying Guo, Chao Zhang, Carl Yang

CoRR, 2022

Whole Page Unbiased Learning to Rank.

Haitao Mao, Lixin Zou, Yujia Zheng, Jiliang Tang, Xiaokai Chu, Jiashu Zhao, Dawei Yin

CoRR, 2022

On the Identifiability of Nonlinear ICA: Sparsity and Beyond.

Yujia Zheng, Ignavier Ng, Kun Zhang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Partial disentanglement for domain adaptation.

Lingjing Kong, Shaoan Xie, Weiran Yao, Yujia Zheng, Guangyi Chen, Petar Stojanov, Victor Akinwande, Kun Zhang

Proceedings of the International Conference on Machine Learning, 2022

Learning Task-Aware Effective Brain Connectivity for fMRI Analysis with Graph Neural Networks (Extended Abstract).

Yue Yu, Xuan Kan, Hejie Cui, Ran Xu, Yujia Zheng, Xiangchen Song, Yanqiao Zhu, Kun Zhang, Razieh Nabi, Ying Guo, Chao Zhang, Carl Yang

Proceedings of the IEEE International Conference on Big Data, 2022

2021

Source Free Unsupervised Graph Domain Adaptation.

Haitao Mao, Lun Du, Yujia Zheng, Qiang Fu, Zelin Li, Xu Chen, Shi Han, Dongmei Zhang

CoRR, 2021

Reliable Causal Discovery with Improved Exact Search and Weaker Assumptions.

Ignavier Ng, Yujia Zheng, Jiji Zhang, Kun Zhang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Learning Elastic Embeddings for Customizing On-Device Recommenders.

Tong Chen, Hongzhi Yin, Yujia Zheng, Zi Huang, Yang Wang, Meng Wang

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Cold-start Sequential Recommendation via Meta Learner.

Yujia Zheng, Siyi Liu, Zekun Li, Shu Wu

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Heterogeneous Graph Collaborative Filtering.

Zekun Li, Yujia Zheng, Shu Wu, Xiaoyu Zhang, Liang Wang

CoRR, 2020

Long-tail Session-based Recommendation.

Siyi Liu, Yujia Zheng

Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

DGTN: Dual-channel Graph Transition Network for Session-based Recommendation.

Yujia Zheng, Siyi Liu, Zekun Li, Shu Wu

Proceedings of the 20th International Conference on Data Mining Workshops, 2020

2019

Balancing Multi-level Interactions for Session-based Recommendation.

Yujia Zheng, Siyi Liu, Zailei Zhou

CoRR, 2019

ReFall: Real-Time Fall Detection of Continuous Depth Maps with RFD-Net.

Yujia Zheng, Siyi Liu, Zairong Wang, Yunbo Rao

Proceedings of the Image and Graphics Technologies and Applications, 2019