Yujia Zheng

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 49

Top Topics

Imbalanced Datasets

Causal Discovery

Domain Adaptation

Aviation Safety

Top Venues

Briefings Bioinform.

Publications

Haitao Mao, Lixin Zou, Yujia Zheng, Jiliang Tang, Xiaokai Chu, Jiashu Zhao, Qian Wang, Dawei Yin
Whole Page Unbiased Learning to Rank. WWW (2024)
Yujia Zheng, Zeyu Tang, Yiwen Qiu, Bernhard Schölkopf, Kun Zhang
Detecting and Identifying Selection Structure in Sequential Data. CoRR (2024)
Xinshuai Dong, Biwei Huang, Ignavier Ng, Xiangchen Song, Yujia Zheng, Songyao Jin, Roberto Legaspi, Peter Spirtes, Kun Zhang
A Versatile Causal Discovery Framework to Allow Causally-Related Hidden Variables. ICLR (2024)
Xinmin Tao, Xiaohan Zhang, Yujia Zheng, Lin Qi, Zhiting Fan, Shan Huang
A MeanShift-guided oversampling with self-adaptive sizes for imbalanced data classification. Inf. Sci. 672 (2024)
Weizhi Ma, Yujia Zheng, Tianhao Li, Zhengping Li, Ying Li, Lijun Wang
A comprehensive review of deep learning in EEG-based emotion recognition: classifications, trends, and practical implications. PeerJ Comput. Sci. 10 (2024)
Jacob Doughty, Zipiao Wan, Anishka Bompelli, Jubahed Qayum, Taozhi Wang, Juran Zhang, Yujia Zheng, Aidan Doyle, Pragnya Sridhar, Arav Agarwal, Christopher Bogart, Eric Keylor, Can Kültür, Jaromír Savelka, Majd Sakr
A Comparative Study of AI-Generated (GPT-4) and Human-crafted MCQs in Programming Education. ACE (2024)
Junichi Nagasawa, Yuichi Nakata, Mamoru Hiroe, Yujia Zheng, Yutaka Kawaguchi, Yuji Maegawa, Naoki Hojo, Tetsuya Takiguchi, Minoru Nakayama, Maki Uchimura, Yuma Sonoda, Hisatomo Kowa, Takashi Nagamatsu
Attempts on detecting Alzheimer's disease by fine-tuning pre-trained model with Gaze Data. ETRA (2024)
Zhiqiang Xie, Yujia Zheng, Lizi Ottens, Kun Zhang, Christos Kozyrakis, Jonathan Mace
Cloud Atlas: Efficient Fault Localization for Cloud Systems using Language Models and Causal Insight. CoRR (2024)
Haitao Mao, Lun Du, Yujia Zheng, Qiang Fu, Zelin Li, Xu Chen, Shi Han, Dongmei Zhang
Source Free Graph Unsupervised Domain Adaptation. WSDM (2024)
Haoyue Dai, Ignavier Ng, Yujia Zheng, Zhengqing Gao, Kun Zhang
Local Causal Discovery with Linear non-Gaussian Cyclic Models. CoRR (2024)
Junichi Nagasawa, Yuichi Nakata, Mamoru Hiroe, Yujia Zheng, Yutaka Kawaguchi, Yuji Maegawa, Naoki Hojo, Tetsuya Takiguchi, Minoru Nakayama, Maki Uchimura, Yuma Sonoda, Hisatomo Kowa, Takashi Nagamatsu
Attempts on detecting Alzheimer's disease by fine-tuning pre-trained model with Gaze Data. ETRA (2024)
Haoyue Dai, Ignavier Ng, Yujia Zheng, Zhengqing Gao, Kun Zhang
Local Causal Discovery with Linear non-Gaussian Cyclic Models. AISTATS (2024)
Kun Zhang, Shaoan Xie, Ignavier Ng, Yujia Zheng
Causal Representation Learning from Multiple Distributions: A General Setting. CoRR (2024)
Yujia Zheng, Ignavier Ng, Yewen Fan, Kun Zhang
Generalized Precision Matrix for Scalable Estimation of Nonparametric Markov Networks. CoRR (2023)
Tianhao Li, Yujia Zheng, Haoan Zhang, Weizhi Ma, Ying Li
Research on Real-time Early Warning Mechanism of Aviation Safety Based on Finite State Machine Underlying in QAR Stream Data. BDIOT (2023)
Ignavier Ng, Yujia Zheng, Xinshuai Dong, Kun Zhang
On the Identifiability of Sparse ICA without Assuming Non-Gaussianity. NeurIPS (2023)
Xinshuai Dong, Biwei Huang, Ignavier Ng, Xiangchen Song, Yujia Zheng, Songyao Jin, Roberto Legaspi, Peter Spirtes, Kun Zhang
A Versatile Causal Discovery Framework to Allow Causally-Related Hidden Variables. CoRR (2023)
Yujia Zheng, Kun Zhang
Generalizing Nonlinear ICA Beyond Structural Sparsity. NeurIPS (2023)
Mugariya Farooq, Shahad Hardan, Aigerim Zhumbhayeva, Yujia Zheng, Preslav Nakov, Kun Zhang
Understanding Breast Cancer Survival: Using Causality and Language Models on Multi-omics Data. CoRR (2023)
Jacob Doughty, Zipiao Wan, Anishka Bompelli, Jubahed Qayum, Taozhi Wang, Juran Zhang, Yujia Zheng, Aidan Doyle, Pragnya Sridhar, Arav Agarwal, Christopher Bogart, Eric Keylor, Can Kültür, Jaromír Savelka, Majd Sakr
A Comparative Study of AI-Generated (GPT-4) and Human-crafted MCQs in Programming Education. CoRR (2023)
Yujia Zheng, Ignavier Ng, Yewen Fan, Kun Zhang
Generalized Precision Matrix for Scalable Estimation of Nonparametric Markov Networks. ICLR (2023)
Xinmin Tao, Xinyue Guo, Yujia Zheng, Xiaohan Zhang, Zhiyu Chen
Self-adaptive oversampling method based on the complexity of minority data in imbalanced datasets classification. Knowl. Based Syst. 277 (2023)
Yujia Zheng, Biwei Huang, Wei Chen, Joseph D. Ramsey, Mingming Gong, Ruichu Cai, Shohei Shimizu, Peter Spirtes, Kun Zhang
Causal-learn: Causal Discovery in Python. CoRR (2023)
Yujia Zheng, Kun Zhang
Generalizing Nonlinear ICA Beyond Structural Sparsity. CoRR (2023)
Lingjing Kong, Shaoan Xie, Weiran Yao, Yujia Zheng, Guangyi Chen, Petar Stojanov, Victor Akinwande, Kun Zhang
Partial Identifiability for Domain Adaptation. CoRR (2023)
Yue Yu, Xuan Kan, Hejie Cui, Ran Xu, Yujia Zheng, Xiangchen Song, Yanqiao Zhu, Kun Zhang, Razieh Nabi, Ying Guo, Chao Zhang, Carl Yang
Deep Dag Learning of Effective Brain Connectivity for FMRI Analysis. ISBI (2023)
Yujia Zheng, Ignavier Ng, Kun Zhang
On the Identifiability of Nonlinear ICA: Sparsity and Beyond. CoRR (2022)
Xinmin Tao, Yujia Zheng, Wei Chen, Xiaohan Zhang, Lin Qi, Zhiting Fan, Shan Huang
SVDD-based weighted oversampling technique for imbalanced and overlapped dataset learning. Inf. Sci. 588 (2022)
Yujia Zheng, Ignavier Ng, Kun Zhang
On the Identifiability of Nonlinear ICA: Sparsity and Beyond. NeurIPS (2022)
Lingjing Kong, Shaoan Xie, Weiran Yao, Yujia Zheng, Guangyi Chen, Petar Stojanov, Victor Akinwande, Kun Zhang
Partial disentanglement for domain adaptation. ICML (2022)
Yue Yu, Xuan Kan, Hejie Cui, Ran Xu, Yujia Zheng, Xiangchen Song, Yanqiao Zhu, Kun Zhang, Razieh Nabi, Ying Guo, Chao Zhang, Carl Yang
Learning Task-Aware Effective Brain Connectivity for fMRI Analysis with Graph Neural Networks (Extended Abstract). Big Data (2022)
Yue Yu, Xuan Kan, Hejie Cui, Ran Xu, Yujia Zheng, Xiangchen Song, Yanqiao Zhu, Kun Zhang, Razieh Nabi, Ying Guo, Chao Zhang, Carl Yang
Learning Task-Aware Effective Brain Connectivity for fMRI Analysis with Graph Neural Networks. CoRR (2022)
Haitao Mao, Lixin Zou, Yujia Zheng, Jiliang Tang, Xiaokai Chu, Jiashu Zhao, Dawei Yin
Whole Page Unbiased Learning to Rank. CoRR (2022)
Liang Yu, Yujia Zheng, Bingyi Ju, Chunyan Ao, Lin Gao
Research progress of miRNA-disease association prediction and comparison of related algorithms. Briefings Bioinform. 23 (3) (2022)
Ignavier Ng, Yujia Zheng, Jiji Zhang, Kun Zhang
Reliable Causal Discovery with Improved Exact Search and Weaker Assumptions. CoRR (2022)
Liang Yu, Yujia Zheng, Lin Gao
MiRNA-disease association prediction based on meta-paths. Briefings Bioinform. 23 (2) (2022)
Tong Chen, Hongzhi Yin, Yujia Zheng, Zi Huang, Yang Wang, Meng Wang
Learning Elastic Embeddings for Customizing On-Device Recommenders. KDD (2021)
Haitao Mao, Lun Du, Yujia Zheng, Qiang Fu, Zelin Li, Xu Chen, Shi Han, Dongmei Zhang
Source Free Unsupervised Graph Domain Adaptation. CoRR (2021)
Yujia Zheng, Siyi Liu, Zekun Li, Shu Wu
Cold-start Sequential Recommendation via Meta Learner. AAAI (2021)
Tong Chen, Hongzhi Yin, Yujia Zheng, Zi Huang, Yang Wang, Meng Wang
Learning Elastic Embeddings for Customizing On-Device Recommenders. CoRR (2021)
Ignavier Ng, Yujia Zheng, Jiji Zhang, Kun Zhang
Reliable Causal Discovery with Improved Exact Search and Weaker Assumptions. NeurIPS (2021)
Yujia Zheng, Siyi Liu, Zekun Li, Shu Wu
Cold-start Sequential Recommendation via Meta Learner. CoRR (2020)
Siyi Liu, Yujia Zheng
Long-tail Session-based Recommendation. RecSys (2020)
Zekun Li, Yujia Zheng, Shu Wu, Xiaoyu Zhang, Liang Wang
Heterogeneous Graph Collaborative Filtering. CoRR (2020)
Siyi Liu, Yujia Zheng
Long-tail Session-based Recommendation. CoRR (2020)
Yujia Zheng, Siyi Liu, Zekun Li, Shu Wu
DGTN: Dual-channel Graph Transition Network for Session-based Recommendation. CoRR (2020)
Yujia Zheng, Siyi Liu, Zekun Li, Shu Wu
DGTN: Dual-channel Graph Transition Network for Session-based Recommendation. ICDM (Workshops) (2020)
Yujia Zheng, Siyi Liu, Zailei Zhou
Balancing Multi-level Interactions for Session-based Recommendation. CoRR (2019)
Yujia Zheng, Siyi Liu, Zairong Wang, Yunbo Rao
ReFall: Real-Time Fall Detection of Continuous Depth Maps with RFD-Net. IGTA (2019)