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Yu Zheng 0013

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affiliation: Monash University, Faculty of Information Technology, Clayton, Australia
affiliation: La Trobe University, Melbourne, Australia
affiliation (former): Northwest A&F University, College of Information Engineering, YangLing, China

Other persons with the same name

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Yu Zheng — disambiguation page
Yu Zheng 0001 — Tencent Robotics X, Shenzhen, China (and 4 more)
Yu Zheng 0002 — University of Alberta, Edmonton, Canada (and 1 more)
Yu Zheng 0003 — Central South University, Changsha, China
Yu Zheng 0004 — JD Intelligent Cities Research, Beijing, China (and 3 more)
Yu Zheng 0005 — China Southern Power Grid, Electric Power Research Institute, Guangzhou, China (and 2 more)
Yu Zheng 0006 — Xidian University, Department of Electronic Engineering, Xi'an, China
Yu Zheng 0007 — Wuhan University of Technology, National Engineering Laboratory for Fiber Optic Sensing Technology, China
Yu Zheng 0008 — Harbin Engineering University, College of Information and Telecommunication, Harbin, China
Yu Zheng 0009 — Dongguan University of Technology, School of Environment and Civil Engineering, Dongguan, China

Yu Zheng 0010 — Tsinghua University, Department of Electronic Engineering, Beijing National Research Center for Information Science and Technology, BNRist, Beijing, China
Yu Zheng 0011 — Case Western Reserve University, Department of Electrical Engineering and Computer Science, Cleveland, OH, USA
Yu Zheng 0012 — Shanghai Jiao Tong University, School of Mechanical Engineering, Institute of Intelligent Manufacturing and Information Engineering, Shanghai, China
Yu Zheng 0014 — Meta Platforms, Inc., Bellevue, WA, USA (and 1 more)
Yu Zheng 0015 — Tsinghua University, Department of Automation, Beijing National Research Center for Information Science and Technology, Beijing, China
Yu Zheng 0016 — Syracuse University, Department of Electrical Engineering and Computer Science, Syracuse, NY, USA
Yu Zheng 0017 — Beihang University, Image Processing Center, Beijing, China
Yu Zheng 0018 — National University of Singapore, Department of Mathematics, Singapore
Yu Zheng 0019 — Boston University, Bioinformatics Graduate Program, Boston, MA, USA
Yu Zheng 0020 — SpeakIn Technologies Co. Ltd., China
Yu Zheng 0021 — Chinese University of Hong Kong, Department of Information Engineering, Hong Kong
Yu Zheng 0022 — Michigan State University, East Lansing, MI, USA
Yu Zheng 0023 — Chinese Academy of Meteorological Sciences, State Key Laboratory of Severe Weather (LASW) and Key Laboratory of Atmospheric Chemistry (LAC), Beijing, China
Yu Zheng 0024 — Florida State University, Department of Electrical and Computer Engineering, Center for Advanced Power systems (CAPS), Center for Intelligent Systems Control and Robotics (CISCOR), Tallahassee, FL, USA
Yu Zheng 0025 — Changsha University, College of Electronic Communication and Electrical Engineering, Changsha, China (and 1 more)
Yu Zheng 0026 — Tiangong University, School of Life Sciences, Tianjin, China (and 2 more)
Yu Zheng 0027 — Shenzhen University, College of Electronics and Information Engineering, Shenzhen, China (and 1 more)
Yu Zheng 0028 — Qingdao University, School of Electronic and Information Engineering, Qingdao, China
Yu Zheng 0029 — Southwest Jiaotong University, Provincial Key Lab of Information Coding and Transmission, Chengdu, China
Yu Zheng 0030 — University of Chinese Academy of Sciences, College of Life Sciences, Key Laboratory of RNA Biology, Center for Big Data Research in Health, Institute of Biophysics, Beijing, China
Yu Zheng 0031 — Hebei University of Technology, School of Artificial Intelligence, Tianjin, China
Yu Zheng 0032 — Southwestern University of Finance and Economics, School of Finance, Chengdu, China (and 2 more)
Yu Zheng 0033 — Ceprei (Nanjing) Laboratory, The Fifth Research Institute of MIIT, Nanjing, China (and 1 more)
Yu Zheng 0034 — Hefei University of Technology, School of Mechanical Engineering, Hefei, China
Yu Zheng 0035 — Nanjing University of Information Science & Technology, School of Computer & Sofware, Jiangsu Engineering Center of Network Monitoring, Nanjing, China
Yu Zheng 0036 — Ocean University of China, College of Computer Science and Technology, Qingdao, China

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2020 – today

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2024
[j14]
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Yu Zheng, Huan Yee Koh, Ming Jin, Lianhua Chi, Haishuai Wang, Khoa Tran Phan, Yi-Ping Phoebe Chen, Shirui Pan, Wei Xiang:
Graph spatiotemporal process for multivariate time series anomaly detection with missing values. Inf. Fusion 106: 102255 (2024)
[j13]
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Wei Lan, Chunling Li, Qingfeng Chen, Ning Yu, Yi Pan, Yu Zheng, Yi-Ping Phoebe Chen:
LGCDA: Predicting CircRNA-Disease Association Based on Fusion of Local and Global Features. IEEE ACM Trans. Comput. Biol. Bioinform. 21(5): 1413-1422 (2024)
[j12]
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Yu Zheng, Huan Yee Koh, Ming Jin, Lianhua Chi, Khoa Tran Phan, Shirui Pan, Yi-Ping Phoebe Chen, Wei Xiang:
Correlation-Aware Spatial-Temporal Graph Learning for Multivariate Time-Series Anomaly Detection. IEEE Trans. Neural Networks Learn. Syst. 35(9): 11802-11816 (2024)
[c8]
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Xuelian Ni, Fei Xiong, Yu Zheng, Liang Wang:
Graph Contrastive Learning with Kernel Dependence Maximization for Social Recommendation. WWW 2024: 481-492
[i11]
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  - journals/corr/abs-2401-05800
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Yu Zheng, Huan Yee Koh, Ming Jin, Lianhua Chi, Haishuai Wang, Khoa Tran Phan, Yi-Ping Phoebe Chen, Shirui Pan, Wei Xiang:
Graph Spatiotemporal Process for Multivariate Time Series Anomaly Detection with Missing Values. CoRR abs/2401.05800 (2024)
[i10]
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  - journals/corr/abs-2405-16771
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Yixin Liu, Shiyuan Li, Yu Zheng, Qingfeng Chen, Chengqi Zhang, Shirui Pan:
ARC: A Generalist Graph Anomaly Detector with In-Context Learning. CoRR abs/2405.16771 (2024)
2023
[j11]
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Yixin Liu, Ming Jin, Shirui Pan, Chuan Zhou, Yu Zheng, Feng Xia, Philip S. Yu:
Graph Self-Supervised Learning: A Survey. IEEE Trans. Knowl. Data Eng. 35(6): 5879-5900 (2023)
[j10]
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Ming Jin, Yu Zheng, Yuan-Fang Li, Siheng Chen, Bin Yang, Shirui Pan:
Multivariate Time Series Forecasting With Dynamic Graph Neural ODEs. IEEE Trans. Knowl. Data Eng. 35(9): 9168-9180 (2023)
[j9]
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Yu Zheng, Ming Jin, Yixin Liu, Lianhua Chi, Khoa Tran Phan, Yi-Ping Phoebe Chen:
Generative and Contrastive Self-Supervised Learning for Graph Anomaly Detection. IEEE Trans. Knowl. Data Eng. 35(12): 12220-12233 (2023)
[c7]
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Yizhen Zheng, He Zhang, Vincent Cheng-Siong Lee, Yu Zheng, Xiao Wang, Shirui Pan:
Finding the Missing-half: Graph Complementary Learning for Homophily-prone and Heterophily-prone Graphs. ICML 2023: 42492-42505
[i9]
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  - journals/corr/abs-2306-07608
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Yizhen Zheng, He Zhang, Vincent C. S. Lee, Yu Zheng, Xiao Wang, Shirui Pan:
Finding the Missing-half: Graph Complementary Learning for Homophily-prone and Heterophily-prone Graphs. CoRR abs/2306.07608 (2023)
[i8]
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  - journals/corr/abs-2307-08390
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Yu Zheng, Huan Yee Koh, Ming Jin, Lianhua Chi, Khoa Tran Phan, Shirui Pan, Yi-Ping Phoebe Chen, Wei Xiang:
Correlation-aware Spatial-Temporal Graph Learning for Multivariate Time-series Anomaly Detection. CoRR abs/2307.08390 (2023)
[i7]
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  - journals/corr/abs-2310-10196
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Ming Jin, Qingsong Wen, Yuxuan Liang, Chaoli Zhang, Siqiao Xue, Xue Wang, James Zhang, Yi Wang, Haifeng Chen, Xiaoli Li, Shirui Pan, Vincent S. Tseng, Yu Zheng, Lei Chen, Hui Xiong:
Large Models for Time Series and Spatio-Temporal Data: A Survey and Outlook. CoRR abs/2310.10196 (2023)
2022
[c6]
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  - conf/icdm/ZhengZZ0LP22
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Yizhen Zheng, Yu Zheng, Xiaofei Zhou, Chen Gong, Vincent C. S. Lee, Shirui Pan:
Unifying Graph Contrastive Learning with Flexible Contextual Scopes. ICDM 2022: 793-802
[c5]
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Yizhen Zheng, Shirui Pan, Vincent C. S. Lee, Yu Zheng, Philip S. Yu:
Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discrimination. NeurIPS 2022
[c4]
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Yixin Liu, Yu Zheng, Daokun Zhang, Hongxu Chen, Hao Peng, Shirui Pan:
Towards Unsupervised Deep Graph Structure Learning. WWW 2022: 1392-1403
[i6]
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  - journals/corr/abs-2201-06367
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Yixin Liu, Yu Zheng, Daokun Zhang, Hongxu Chen, Hao Peng, Shirui Pan:
Towards Unsupervised Deep Graph Structure Learning. CoRR abs/2201.06367 (2022)
[i5]
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  - journals/corr/abs-2202-05525
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Yu Zheng, Ming Jin, Yixin Liu, Lianhua Chi, Khoa Tran Phan, Shirui Pan, Yi-Ping Phoebe Chen:
From Unsupervised to Few-shot Graph Anomaly Detection: A Multi-scale Contrastive Learning Approach. CoRR abs/2202.05525 (2022)
[i4]
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  - journals/corr/abs-2202-08408
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Ming Jin, Yu Zheng, Yuan-Fang Li, Siheng Chen, Bin Yang, Shirui Pan:
Multivariate Time Series Forecasting with Dynamic Graph Neural ODEs. CoRR abs/2202.08408 (2022)
[i3]
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  - journals/corr/abs-2206-01535
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Yizhen Zheng, Shirui Pan, Vincent C. S. Lee, Yu Zheng, Philip S. Yu:
Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discrimination. CoRR abs/2206.01535 (2022)
[i2]
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  - journals/corr/abs-2210-08792
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Yizhen Zheng, Yu Zheng, Xiaofei Zhou, Chen Gong, Vincent C. S. Lee, Shirui Pan:
Unifying Graph Contrastive Learning with Flexible Contextual Scopes. CoRR abs/2210.08792 (2022)
2021
[j8]
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  - journals/fgcs/XiongZDWWC21
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Fei Xiong, Yu Zheng, Weiping Ding, Hao Wang, Xinyi Wang, Hongshu Chen:
Selection strategy in graph-based spreading dynamics with limited capacity. Future Gener. Comput. Syst. 114: 307-317 (2021)
[c3]
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  - conf/cikm/JinLZCLP21
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Ming Jin, Yixin Liu, Yu Zheng, Lianhua Chi, Yuan-Fang Li, Shirui Pan:
ANEMONE: Graph Anomaly Detection with Multi-Scale Contrastive Learning. CIKM 2021: 3122-3126
[i1]
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  - journals/corr/abs-2108-09896
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Yu Zheng, Ming Jin, Yixin Liu, Lianhua Chi, Khoa Tran Phan, Yi-Ping Phoebe Chen:
Generative and Contrastive Self-Supervised Learning for Graph Anomaly Detection. CoRR abs/2108.09896 (2021)
2020
[j7]
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  - journals/access/JinLZC20
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Ming Jin, Mei Li, Yu Zheng, Lianhua Chi:
Searching Correlated Patterns From Graph Streams. IEEE Access 8: 106690-106704 (2020)
[j6]
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  - journals/complexity/WangYZCMD20
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Nanxin Wang, Libin Yang, Yu Zheng, Xiaoyan Cai, Xin Mei, Hang Dai:
A Tri-Attention Neural Network Model-BasedRecommendation. Complex. 2020: 3857871:1-3857871:10 (2020)
[j5]
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Yu Zheng, Ruiqi Hu, Sai-Fu Fung, Celina Ping Yu, Guodong Long, Ting Guo, Shirui Pan:
Clustering social audiences in business information networks. Pattern Recognit. 100: 107126 (2020)

2010 – 2019

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2019
[j4]
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  - journals/access/CaiZYDG19
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Xiaoyan Cai, Yu Zheng, Libin Yang, Tao Dai, Lantian Guo:
Bibliographic Network Representation Based Personalized Citation Recommendation. IEEE Access 7: 457-467 (2019)
[j3]
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  - journals/access/DaiZWZCZ19
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Tao Dai, Li Zhu, Yifan Wang, Hongfei Zhang, Xiaoyan Cai, Yu Zheng:
Joint Model Feature Regression and Topic Learning for Global Citation Recommendation. IEEE Access 7: 1706-1720 (2019)
[c2]
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  - conf/ijcnn/WuHZ0SB19
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Di Wu, Ruiqi Hu, Yu Zheng, Jing Jiang, Nabin Sharma, Michael Blumenstein:
Feature-Dependent Graph Convolutional Autoencoders with Adversarial Training Methods. IJCNN 2019: 1-8
2018
[j2]
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  - journals/access/YangZCDMGD18
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Libin Yang, Yu Zheng, Xiaoyan Cai, Hang Dai, Dejun Mu, Lantian Guo, Tao Dai:
A LSTM Based Model for Personalized Context-Aware Citation Recommendation. IEEE Access 6: 59618-59627 (2018)
[j1]
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  - journals/jifs/YangZCPD18
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Libin Yang, Yu Zheng, Xiaoyan Cai, Shirui Pan, Tao Dai:
Query-oriented citation recommendation based on network correlation. J. Intell. Fuzzy Syst. 35(4): 4621-4628 (2018)
[c1]
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  - conf/interspeech/ZhaoZZWZL18
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Ziping Zhao, Yu Zheng, Zixing Zhang, Haishuai Wang, Yiqin Zhao, Chao Li:
Exploring Spatio-Temporal Representations by Integrating Attention-based Bidirectional-LSTM-RNNs and FCNs for Speech Emotion Recognition. INTERSPEECH 2018: 272-276

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