Yujia Zheng

69 papers A* 21A 5B 1Journal 38Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
ParamMem: Augmenting Language Agents with Parametric Reflective Memory.
CoRR
Tianjun Yao, Yongqiang Chen, Yujia Zheng, Pan Li, Zhiqiang Shen, Kun Zhang
2025 A* conf
A General Representation-Based Approach to Multi-Source Domain Adaptation.
ICML
Ignavier Ng, Yan Li, Zijian Li, Yujia Zheng, Guangyi Chen, Kun Zhang
2025 — conf
Causal Discovery through Synergizing Large Language Model and Data-Driven Reasoning.
KDD (2)
Huaming Du, Yujia Zheng, Baoyu Jing, Yu Zhao, Gang Kou, Guisong Liu, Tao Gu, Weimin Li, Carl Yang
2025 A* conf
Causal Representation Learning from Multimodal Biomedical Observations.
ICLR
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
2025 J jnl
Higher-Order Causal Structure Learning with Additive Models.
CoRR
James Enouen, Yujia Zheng, Ignavier Ng, Yan Liu, Kun Zhang
2025 A* conf
Identification of Intermittent Temporal Latent Process.
ICLR
Yuke Li, Yujia Zheng, Guangyi Chen, Kun Zhang, Heng Huang
2025 J jnl
Identification of Nonparametric Dynamic Causal Structure and Latent Process in Climate System.
CoRR
Minghao Fu, Biwei Huang, Zijian Li, Yujia Zheng, Ignavier Ng, Yingyao Hu, Kun Zhang
2025 J jnl
LLM Interpretability with Identifiable Temporal-Instantaneous Representation.
CoRR
Xiangchen Song, Jiaqi Sun, Zijian Li, Yujia Zheng, Kun Zhang
2025 A* conf
Learning Vision and Language Concepts for Controllable Image Generation.
ICML
Shaoan Xie, Lingjing Kong, Yujia Zheng, Zeyu Tang, Eric P. Xing, Guangyi Chen, Kun Zhang
2025 A conf
Nonparametric Factor Analysis and Beyond.
AISTATS
Yujia Zheng, Yang Liu, Jiaxiong Yao, Yingyao Hu, Kun Zhang
2025 J jnl
Nonparametric Factor Analysis and Beyond.
CoRR
Yujia Zheng, Yang Liu, Jiaxiong Yao, Yingyao Hu, Kun Zhang
2025 A* conf
Nonparametric Identification of Latent Concepts.
ICML
Yujia Zheng, Shaoan Xie, Kun Zhang
2025 J jnl
Nonparametric Identification of Latent Concepts.
CoRR
Yujia Zheng, Shaoan Xie, Kun Zhang
2025 J jnl
Position: Mechanistic Interpretability Should Prioritize Feature Consistency in SAEs.
CoRR
Xiangchen Song, Aashiq Muhamed, Yujia Zheng, Lingjing Kong, Zeyu Tang, Mona T. Diab, Virginia Smith, Kun Zhang
2025 A* conf
SmartCLIP: Modular Vision-language Alignment with Identification Guarantees.
CVPR
Shaoan Xie, Lingjing, Yujia Zheng, Yu Yao, Zeyu Tang, Eric P. Xing, Guangyi Chen, Kun Zhang
2025 J jnl
SmartCLIP: Modular Vision-language Alignment with Identification Guarantees.
CoRR
Shaoan Xie, Lingjing Kong, Yujia Zheng, Yu Yao, Zeyu Tang, Eric P. Xing, Guangyi Chen, Kun Zhang
2025 A* conf
Synergy Between Sufficient Changes and Sparse Mixing Procedure for Disentangled Representation Learning.
ICLR
Zijian Li, Shunxing Fan, Yujia Zheng, Ignavier Ng, Shaoan Xie, Guangyi Chen, Xinshuai Dong, Ruichu Cai, Kun Zhang
2025 J jnl
Synergy Between Sufficient Changes and Sparse Mixing Procedure for Disentangled Representation Learning.
CoRR
Zijian Li, Shunxing Fan, Yujia Zheng, Ignavier Ng, Shaoan Xie, Guangyi Chen, Xinshuai Dong, Ruichu Cai, Kun Zhang
2025 A conf
Type Information-Assisted Self-Supervised Knowledge Graph Denoising.
AISTATS
Jiaqi Sun, Yujia Zheng, Xinshuai Dong, Haoyue Dai, Kun Zhang
2025 J jnl
Type Information-Assisted Self-Supervised Knowledge Graph Denoising.
CoRR
Jiaqi Sun, Yujia Zheng, Xinshuai Dong, Haoyue Dai, Kun Zhang
2025 J jnl
Understanding Catastrophic Interference On the Identifibility of Latent Representations.
CoRR
Yuke Li, Yujia Zheng, Tianyi Xiong, Zhenyi Wang, Heng Huang
2024 A* conf
A Versatile Causal Discovery Framework to Allow Causally-Related Hidden Variables.
ICLR
Xinshuai Dong, Biwei Huang, Ignavier Ng, Xiangchen Song, Yujia Zheng, Songyao Jin, Roberto Legaspi, Peter Spirtes, Kun Zhang
2024 J jnl
Causal Representation Learning from Multimodal Biological Observations.
CoRR
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
2024 A* conf
Causal Representation Learning from Multiple Distributions: A General Setting.
ICML
Kun Zhang, Shaoan Xie, Ignavier Ng, Yujia Zheng
2024 J jnl
Causal Representation Learning from Multiple Distributions: A General Setting.
CoRR
Kun Zhang, Shaoan Xie, Ignavier Ng, Yujia Zheng
2024 A* conf
Causal Temporal Representation Learning with Nonstationary Sparse Transition.
NeurIPS
Xiangchen Song, Zijian Li, Guangyi Chen, Yujia Zheng, Yewen Fan, Xinshuai Dong, Kun Zhang
2024 J jnl
Causal Temporal Representation Learning with Nonstationary Sparse Transition.
CoRR
Xiangchen Song, Zijian Li, Guangyi Chen, Yujia Zheng, Yewen Fan, Xinshuai Dong, Kun Zhang
2024 J jnl
Causal-learn: Causal Discovery in Python.
J. Mach. Learn. Res.
Yujia Zheng, Biwei Huang, Wei Chen, Joseph D. Ramsey, Mingming Gong, Ruichu Cai, Shohei Shimizu, Peter Spirtes, Kun Zhang
2024 J jnl
Causality for Large Language Models.
CoRR
Anpeng Wu, Kun Kuang, Minqin Zhu, Yingrong Wang, Yujia Zheng, Kairong Han, Baohong Li, Guangyi Chen, Fei Wu, Kun Zhang
2024 J jnl
Cloud Atlas: Efficient Fault Localization for Cloud Systems using Language Models and Causal Insight.
CoRR
Zhiqiang Xie, Yujia Zheng, Lizi Ottens, Kun Zhang, Christos Kozyrakis, Jonathan Mace
2024 A* conf
Detecting and Identifying Selection Structure in Sequential Data.
ICML
Yujia Zheng, Zeyu Tang, Yiwen Qiu, Bernhard Schölkopf, Kun Zhang
2024 J jnl
Detecting and Identifying Selection Structure in Sequential Data.
CoRR
Yujia Zheng, Zeyu Tang, Yiwen Qiu, Bernhard Schölkopf, Kun Zhang
2024 A* conf
Identifying Selections for Unsupervised Subtask Discovery.
NeurIPS
Yiwen Qiu, Yujia Zheng, Kun Zhang
2024 J jnl
Identifying Selections for Unsupervised Subtask Discovery.
CoRR
Yiwen Qiu, Yujia Zheng, Kun Zhang
2024 A conf
Local Causal Discovery with Linear non-Gaussian Cyclic Models.
AISTATS
Haoyue Dai, Ignavier Ng, Yujia Zheng, Zhengqing Gao, Kun Zhang
2024 J jnl
Local Causal Discovery with Linear non-Gaussian Cyclic Models.
CoRR
Haoyue Dai, Ignavier Ng, Yujia Zheng, Zhengqing Gao, Kun Zhang
2024 J jnl
On the Identifiability of Sparse ICA without Assuming Non-Gaussianity.
CoRR
Ignavier Ng, Yujia Zheng, Xinshuai Dong, Kun Zhang
2024 A conf
Source Free Graph Unsupervised Domain Adaptation.
WSDM
Haitao Mao, Lun Du, Yujia Zheng, Qiang Fu, Zelin Li, Xu Chen, Shi Han, Dongmei Zhang
2024 A* conf
Whole Page Unbiased Learning to Rank.
WWW
Haitao Mao, Lixin Zou, Yujia Zheng, Jiliang Tang, Xiaokai Chu, Jiashu Zhao, Qian Wang, Dawei Yin
2023 J jnl
A Versatile Causal Discovery Framework to Allow Causally-Related Hidden Variables.
CoRR
Xinshuai Dong, Biwei Huang, Ignavier Ng, Xiangchen Song, Yujia Zheng, Songyao Jin, Roberto Legaspi, Peter Spirtes, Kun Zhang
2023 J jnl
Causal-learn: Causal Discovery in Python.
CoRR
Yujia Zheng, Biwei Huang, Wei Chen, Joseph D. Ramsey, Mingming Gong, Ruichu Cai, Shohei Shimizu, Peter Spirtes, Kun Zhang
2023 — conf
Deep Dag Learning of Effective Brain Connectivity for FMRI Analysis.
ISBI
Yue Yu, Xuan Kan, Hejie Cui, Ran Xu, Yujia Zheng, Xiangchen Song, Yanqiao Zhu, Kun Zhang, Razieh Nabi, Ying Guo, Chao Zhang, Carl Yang
2023 A* conf
Generalized Precision Matrix for Scalable Estimation of Nonparametric Markov Networks.
ICLR
Yujia Zheng, Ignavier Ng, Yewen Fan, Kun Zhang
2023 J jnl
Generalized Precision Matrix for Scalable Estimation of Nonparametric Markov Networks.
CoRR
Yujia Zheng, Ignavier Ng, Yewen Fan, Kun Zhang
2023 A* conf
Generalizing Nonlinear ICA Beyond Structural Sparsity.
NeurIPS
Yujia Zheng, Kun Zhang
2023 J jnl
Generalizing Nonlinear ICA Beyond Structural Sparsity.
CoRR
Yujia Zheng, Kun Zhang
2023 A* conf
On the Identifiability of Sparse ICA without Assuming Non-Gaussianity.
NeurIPS
Ignavier Ng, Yujia Zheng, Xinshuai Dong, Kun Zhang
2023 J jnl
Partial Identifiability for Domain Adaptation.
CoRR
Lingjing Kong, Shaoan Xie, Weiran Yao, Yujia Zheng, Guangyi Chen, Petar Stojanov, Victor Akinwande, Kun Zhang
2023 J jnl
Understanding Breast Cancer Survival: Using Causality and Language Models on Multi-omics Data.
CoRR
Mugariya Farooq, Shahad Hardan, Aigerim Zhumbhayeva, Yujia Zheng, Preslav Nakov, Kun Zhang
2022 B conf
Learning Task-Aware Effective Brain Connectivity for fMRI Analysis with Graph Neural Networks (Extended Abstract).
IEEE Big Data
Yue Yu, Xuan Kan, Hejie Cui, Ran Xu, Yujia Zheng, Xiangchen Song, Yanqiao Zhu, Kun Zhang, Razieh Nabi, Ying Guo, Chao Zhang, Carl Yang
2022 J jnl
Learning Task-Aware Effective Brain Connectivity for fMRI Analysis with Graph Neural Networks.
CoRR
Yue Yu, Xuan Kan, Hejie Cui, Ran Xu, Yujia Zheng, Xiangchen Song, Yanqiao Zhu, Kun Zhang, Razieh Nabi, Ying Guo, Chao Zhang, Carl Yang
2022 A* conf
On the Identifiability of Nonlinear ICA: Sparsity and Beyond.
NeurIPS
Yujia Zheng, Ignavier Ng, Kun Zhang
2022 J jnl
On the Identifiability of Nonlinear ICA: Sparsity and Beyond.
CoRR
Yujia Zheng, Ignavier Ng, Kun Zhang
2022 A* conf
Partial disentanglement for domain adaptation.
ICML
Lingjing Kong, Shaoan Xie, Weiran Yao, Yujia Zheng, Guangyi Chen, Petar Stojanov, Victor Akinwande, Kun Zhang
2022 J jnl
Reliable Causal Discovery with Improved Exact Search and Weaker Assumptions.
CoRR
Ignavier Ng, Yujia Zheng, Jiji Zhang, Kun Zhang
2022 J jnl
Whole Page Unbiased Learning to Rank.
CoRR
Haitao Mao, Lixin Zou, Yujia Zheng, Jiliang Tang, Xiaokai Chu, Jiashu Zhao, Dawei Yin
2021 A* conf
Cold-start Sequential Recommendation via Meta Learner.
AAAI
Yujia Zheng, Siyi Liu, Zekun Li, Shu Wu
2021 A* conf
Learning Elastic Embeddings for Customizing On-Device Recommenders.
KDD
Tong Chen, Hongzhi Yin, Yujia Zheng, Zi Huang, Yang Wang, Meng Wang
2021 J jnl
Learning Elastic Embeddings for Customizing On-Device Recommenders.
CoRR
Tong Chen, Hongzhi Yin, Yujia Zheng, Zi Huang, Yang Wang, Meng Wang
2021 A* conf
Reliable Causal Discovery with Improved Exact Search and Weaker Assumptions.
NeurIPS
Ignavier Ng, Yujia Zheng, Jiji Zhang, Kun Zhang
2021 J jnl
Source Free Unsupervised Graph Domain Adaptation.
CoRR
Haitao Mao, Lun Du, Yujia Zheng, Qiang Fu, Zelin Li, Xu Chen, Shi Han, Dongmei Zhang
2020 J jnl
Cold-start Sequential Recommendation via Meta Learner.
CoRR
Yujia Zheng, Siyi Liu, Zekun Li, Shu Wu
2020 — conf
DGTN: Dual-channel Graph Transition Network for Session-based Recommendation.
ICDM (Workshops)
Yujia Zheng, Siyi Liu, Zekun Li, Shu Wu
2020 J jnl
DGTN: Dual-channel Graph Transition Network for Session-based Recommendation.
CoRR
Yujia Zheng, Siyi Liu, Zekun Li, Shu Wu
2020 J jnl
Heterogeneous Graph Collaborative Filtering.
CoRR
Zekun Li, Yujia Zheng, Shu Wu, Xiaoyu Zhang, Liang Wang
2020 A conf
Long-tail Session-based Recommendation.
RecSys
Siyi Liu, Yujia Zheng
2020 J jnl
Long-tail Session-based Recommendation.
CoRR
Siyi Liu, Yujia Zheng
2019 J jnl
Balancing Multi-level Interactions for Session-based Recommendation.
CoRR
Yujia Zheng, Siyi Liu, Zailei Zhou
2019 — conf
ReFall: Real-Time Fall Detection of Continuous Depth Maps with RFD-Net.
IGTA
Yujia Zheng, Siyi Liu, Zairong Wang, Yunbo Rao