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ORCIDYujia Zheng
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2020 – today
- 2024
[j7]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: 120699 (2024)- [j6]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. J. Mach. Learn. Res. 25: 60:1-60:8 (2024) - [j5]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: e2065 (2024) - [c23]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: 114-123 - [c22]Haoyue Dai, Ignavier Ng, Yujia Zheng, Zhengqing Gao, Kun Zhang:
Local Causal Discovery with Linear non-Gaussian Cyclic Models. AISTATS 2024: 154-162 - [c21]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: 44:1-44:3 - [c20]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: 56:1-56:3 - [c19]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 - [c18]Kun Zhang, Shaoan Xie, Ignavier Ng, Yujia Zheng:
Causal Representation Learning from Multiple Distributions: A General Setting. ICML 2024 - [c17]Yujia Zheng, Zeyu Tang, Yiwen Qiu, Bernhard Schölkopf, Kun Zhang:
Detecting and Identifying Selection Structure in Sequential Data. ICML 2024 - [c16]Haitao Mao, Lun Du, Yujia Zheng, Qiang Fu, Zelin Li, Xu Chen, Shi Han, Dongmei Zhang:
Source Free Graph Unsupervised Domain Adaptation. WSDM 2024: 520-528 - [c15]Haitao Mao, Lixin Zou, Yujia Zheng, Jiliang Tang, Xiaokai Chu, Jiashu Zhao, Qian Wang, Dawei Yin:
Whole Page Unbiased Learning to Rank. WWW 2024: 1431-1440 - [i24]Kun Zhang, Shaoan Xie, Ignavier Ng, Yujia Zheng:
Causal Representation Learning from Multiple Distributions: A General Setting. CoRR abs/2402.05052 (2024) - [i23]Haoyue Dai, Ignavier Ng, Yujia Zheng, Zhengqing Gao, Kun Zhang:
Local Causal Discovery with Linear non-Gaussian Cyclic Models. CoRR abs/2403.14843 (2024) - [i22]Yujia Zheng, Zeyu Tang, Yiwen Qiu, Bernhard Schölkopf, Kun Zhang:
Detecting and Identifying Selection Structure in Sequential Data. CoRR abs/2407.00529 (2024) - [i21]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 abs/2407.08694 (2024) - [i20]Ignavier Ng, Yujia Zheng, Xinshuai Dong, Kun Zhang:
On the Identifiability of Sparse ICA without Assuming Non-Gaussianity. CoRR abs/2408.10353 (2024) - [i19]Xiangchen Song, Zijian Li, Guangyi Chen, Yujia Zheng, Yewen Fan, Xinshuai Dong, Kun Zhang:
Causal Temporal Representation Learning with Nonstationary Sparse Transition. CoRR abs/2409.03142 (2024) - 2023
- [j4]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: 110795 (2023) - [c14]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: 216-222 - [c13]Yujia Zheng, Ignavier Ng, Yewen Fan, Kun Zhang:
Generalized Precision Matrix for Scalable Estimation of Nonparametric Markov Networks. ICLR 2023 - [c12]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: 1-5 - [c11]Ignavier Ng, Yujia Zheng, Xinshuai Dong, Kun Zhang:
On the Identifiability of Sparse ICA without Assuming Non-Gaussianity. NeurIPS 2023 - [c10]Yujia Zheng, Kun Zhang:
Generalizing Nonlinear ICA Beyond Structural Sparsity. NeurIPS 2023 - [i18]Yujia Zheng, Ignavier Ng, Yewen Fan, Kun Zhang:
Generalized Precision Matrix for Scalable Estimation of Nonparametric Markov Networks. CoRR abs/2305.11379 (2023) - [i17]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 abs/2305.18410 (2023) - [i16]Lingjing Kong, Shaoan Xie, Weiran Yao, Yujia Zheng, Guangyi Chen, Petar Stojanov, Victor Akinwande, Kun Zhang:
Partial Identifiability for Domain Adaptation. CoRR abs/2306.06510 (2023) - [i15]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 abs/2307.16405 (2023) - [i14]Yujia Zheng, Kun Zhang:
Generalizing Nonlinear ICA Beyond Structural Sparsity. CoRR abs/2311.00866 (2023) - [i13]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 abs/2312.03173 (2023) - [i12]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 abs/2312.11001 (2023) - 2022
- [j3]Liang Yu, Yujia Zheng, Lin Gao:
MiRNA-disease association prediction based on meta-paths. Briefings Bioinform. 23(2) (2022) - [j2]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) - [j1]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: 13-51 (2022) - [c9]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). IEEE Big Data 2022: 4995-4996 - [c8]Lingjing Kong, Shaoan Xie, Weiran Yao, Yujia Zheng, Guangyi Chen, Petar Stojanov, Victor Akinwande, Kun Zhang:
Partial disentanglement for domain adaptation. ICML 2022: 11455-11472 - [c7]Yujia Zheng, Ignavier Ng, Kun Zhang:
On the Identifiability of Nonlinear ICA: Sparsity and Beyond. NeurIPS 2022 - [i11]Ignavier Ng, Yujia Zheng, Jiji Zhang, Kun Zhang:
Reliable Causal Discovery with Improved Exact Search and Weaker Assumptions. CoRR abs/2201.05666 (2022) - [i10]Yujia Zheng, Ignavier Ng, Kun Zhang:
On the Identifiability of Nonlinear ICA: Sparsity and Beyond. CoRR abs/2206.07751 (2022) - [i9]Haitao Mao, Lixin Zou, Yujia Zheng, Jiliang Tang, Xiaokai Chu, Jiashu Zhao, Dawei Yin:
Whole Page Unbiased Learning to Rank. CoRR abs/2210.10718 (2022) - [i8]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 abs/2211.00261 (2022) - 2021
- [c6]Yujia Zheng, Siyi Liu, Zekun Li, Shu Wu:
Cold-start Sequential Recommendation via Meta Learner. AAAI 2021: 4706-4713 - [c5]Tong Chen, Hongzhi Yin, Yujia Zheng, Zi Huang, Yang Wang, Meng Wang:
Learning Elastic Embeddings for Customizing On-Device Recommenders. KDD 2021: 138-147 - [c4]Ignavier Ng, Yujia Zheng, Jiji Zhang, Kun Zhang:
Reliable Causal Discovery with Improved Exact Search and Weaker Assumptions. NeurIPS 2021: 20308-20320 - [i7]Tong Chen, Hongzhi Yin, Yujia Zheng, Zi Huang, Yang Wang, Meng Wang:
Learning Elastic Embeddings for Customizing On-Device Recommenders. CoRR abs/2106.02223 (2021) - [i6]Haitao Mao, Lun Du, Yujia Zheng, Qiang Fu, Zelin Li, Xu Chen, Shi Han, Dongmei Zhang:
Source Free Unsupervised Graph Domain Adaptation. CoRR abs/2112.00955 (2021) - 2020
- [c3]Yujia Zheng, Siyi Liu, Zekun Li, Shu Wu:
DGTN: Dual-channel Graph Transition Network for Session-based Recommendation. ICDM (Workshops) 2020: 236-242 - [c2]Siyi Liu, Yujia Zheng:
Long-tail Session-based Recommendation. RecSys 2020: 509-514 - [i5]Siyi Liu, Yujia Zheng:
Long-tail Session-based Recommendation. CoRR abs/2007.12329 (2020) - [i4]Yujia Zheng, Siyi Liu, Zekun Li, Shu Wu:
DGTN: Dual-channel Graph Transition Network for Session-based Recommendation. CoRR abs/2009.10002 (2020) - [i3]Zekun Li, Yujia Zheng, Shu Wu, Xiaoyu Zhang, Liang Wang:
Heterogeneous Graph Collaborative Filtering. CoRR abs/2011.06807 (2020) - [i2]Yujia Zheng, Siyi Liu, Zekun Li, Shu Wu:
Cold-start Sequential Recommendation via Meta Learner. CoRR abs/2012.05462 (2020)
2010 – 2019
- 2019
- [c1]Yujia Zheng, Siyi Liu, Zairong Wang, Yunbo Rao:
ReFall: Real-Time Fall Detection of Continuous Depth Maps with RFD-Net. IGTA 2019: 659-673 - [i1]Yujia Zheng, Siyi Liu, Zailei Zhou:
Balancing Multi-level Interactions for Session-based Recommendation. CoRR abs/1910.13527 (2019)
Coauthor Index
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last updated on 2024-10-12 22:59 CEST by the dblp team
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