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ORCIDZhao Zhang 0011
Person information
- affiliation: Chinese Academy of Sciences, Institute of Computing Technology, Key Lab of Intelligent Information Processing, Beijing, China
Other persons with the same name
- Zhao Zhang — disambiguation page
- Zhao Zhang 0001
![[0000-0002-5703-7969]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-5703-7969")
— Hefei University of Technology, School of Computer Science and Information Engineering (School of Artificial Intelligence), China (and 2 more) - Zhao Zhang 0002 — Zhejiang Normal University, College of Mathematics Physics and Information Engineering, Jinhua, China (and 1 more)
- Zhao Zhang 0003 — Northeastern University, School of Information Science and Engineering, Shenyang, China
- Zhao Zhang 0004 — Chinese Academy of Sciences, Institute of Semiconductors, Beijing, China
- Zhao Zhang 0005 — Nanjing Forestry University, Department of Computer Science and Technology, China
- Zhao Zhang 0006 — Heriot-Watt University, Edinburgh, UK (and 1 more)
- Zhao Zhang 0007 — University of Texas at Austin, Texas Advanced Computing Center, Austin, TX, USA (and 2 more)
- Zhao Zhang 0008 — University of Illinois at Chicago, IL, USA
- Zhao Zhang 0009 — Guilin University of Electronic Technology, Guangxi Key Laboratory of Trusted Software, China (and 1 more)
- Zhao Zhang 0010 — Iowa State University, Department of Electrical and Computer Engineering, Ames, IA, USA (and 1 more)
- Zhao Zhang 0012 — University of Texas, Health Science Center, San Antonio, TX, USA (and 1 more)
- Zhao Zhang 0013 — Dalian University of Technology, Faculty of Vehicle Engineering and Mechanics, Department of Engineering Mechanics, China
- Zhao Zhang 0014 — Beihang University, School of Transportation Science and Engineering, Beijing, China (and 2 more)
- Zhao Zhang 0015 — Nanchang Hangkong University, School of Information Technology, China
- Zhao Zhang 0016 — North Dakota State University, Department of Agricultural and Biosystems Engineering, Fargo, ND, USA (and 1 more)
- Zhao Zhang 0017 — Tianjin University, School of Precision Instrument and Opto-electronics Engineering, China
- Zhao Zhang 0018 — Nankai University, College of Computer Science, TKLNDST, Tianjin, China (and 1 more)
- Zhao Zhang 0019 — Qilu University of Technology (Shandong Academy of Sciences), School of Electrical Engineering and Automation, Jinan, China
- Zhao Zhang 0020 — Nanjing University of Aeronautics and Astronautics, College of Automation Engineering, China
- Zhao Zhang 0021 — PLA Information Engineering University, Zhengzhou Information Science and Technology Institute, China
- Zhao Zhang 0022 — University of Lorraine, CNRS Loria, Nancy, France
- Zhao Zhang 0023 — Beijing University of Posts and Telecommunication, School of Electronic Engineering, China
- Zhao Zhang 0024 — Tsinghua University, Department of Automation, Beijing, China
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2020 – today
- 2024
[j9]Fuwei Zhang, Zhao Zhang, Fuzhen Zhuang, Yu Zhao, Deqing Wang, Hongwei Zheng:
Temporal Knowledge Graph Reasoning With Dynamic Memory Enhancement. IEEE Trans. Knowl. Data Eng. 36(11): 7115-7128 (2024)- [j8]Wei Chen, Yiqing Wu, Zhao Zhang, Fuzhen Zhuang, Zhongshi He, Ruobing Xie, Feng Xia:
FairGap: Fairness-Aware Recommendation via Generating Counterfactual Graph. ACM Trans. Inf. Syst. 42(4): 94:1-94:25 (2024) - [c31]Wei Chen, Yuxuan Liu, Zhao Zhang, Fuzhen Zhuang, Jiang Zhong:
Modeling Adaptive Inter-Task Feature Interactions via Sentiment-Aware Contrastive Learning for Joint Aspect-Sentiment Prediction. AAAI 2024: 17781-17789 - [c30]Zhuo Chen, Zhao Zhang, Zixuan Li, Fei Wang, Yutao Zeng, Xiaolong Jin, Yongjun Xu:
Self-Improvement Programming for Temporal Knowledge Graph Question Answering. LREC/COLING 2024: 14579-14594 - [c29]Yiqing Wu, Ruobing Xie, Zhao Zhang, Xu Zhang, Fuzhen Zhuang, Leyu Lin, Zhanhui Kang, Yongjun Xu:
DFGNN: Dual-frequency Graph Neural Network for Sign-aware Feedback. KDD 2024: 3437-3447 - [c28]Chengqing Yu, Fei Wang, Zezhi Shao, Tangwen Qian, Zhao Zhang, Wei Wei, Yongjun Xu:
GinAR: An End-To-End Multivariate Time Series Forecasting Model Suitable for Variable Missing. KDD 2024: 3989-4000 - [c27]Yanjie Gou, Yuanzhou Yao, Zhao Zhang, Yiqing Wu, Yi Hu, Fuzhen Zhuang, Jiangming Liu, Yongjun Xu:
Controllable Multi-Behavior Recommendation for In-Game Skins with Large Sequential Model. KDD 2024: 4986-4996 - [c26]Yuting Zhang, Zhao Zhang, Yiqing Wu, Ying Sun, Fuzhen Zhuang, Wenhui Yu, Lantao Hu, Han Li, Kun Gai, Zhulin An, Yongjun Xu:
Tag Tree-Guided Multi-grained Alignment for Multi-Domain Short Video Recommendation. ACM Multimedia 2024: 5683-5691 - [c25]Huajie Zhang, Yuxin Ying, Fuzhen Zhuang, Haiqin Weng, Ying Sun, Zhao Zhang, Yiqi Tong, Yan Liu:
Multi-round Counterfactual Generation: Interpreting and Improving Models of Text Classification. WWW (Companion Volume) 2024: 774-777 - [i17]Zhuo Chen, Zhao Zhang, Zixuan Li, Fei Wang, Yutao Zeng, Xiaolong Jin, Yongjun Xu:
Self-Improvement Programming for Temporal Knowledge Graph Question Answering. CoRR abs/2404.01720 (2024) - [i16]Yiqing Wu, Ruobing Xie, Zhao Zhang, Fuzhen Zhuang, Xu Zhang, Leyu Lin, Zhanhui Kang, Yongjun Xu:
ID-centric Pre-training for Recommendation. CoRR abs/2405.03562 (2024) - [i15]Chengqing Yu, Fei Wang, Zezhi Shao, Tangwen Qian, Zhao Zhang, Wei Wei, Yongjun Xu:
GinAR: An End-To-End Multivariate Time Series Forecasting Model Suitable for Variable Missing. CoRR abs/2405.11333 (2024) - [i14]Yiqing Wu, Ruobing Xie, Zhao Zhang, Xu Zhang, Fuzhen Zhuang, Leyu Lin, Zhanhui Kang, Yongjun Xu:
DFGNN: Dual-frequency Graph Neural Network for Sign-aware Feedback. CoRR abs/2405.15280 (2024) - 2023
- [j7]Zhao Zhang, Fuzhen Zhuang, Hengshu Zhu, Chao Li, Hui Xiong, Qing He, Yongjun Xu:
Towards Robust Knowledge Graph Embedding via Multi-Task Reinforcement Learning. IEEE Trans. Knowl. Data Eng. 35(4): 4321-4334 (2023) - [j6]Zezhi Shao, Yongjun Xu, Wei Wei, Fei Wang, Zhao Zhang, Feida Zhu:
Heterogeneous Graph Neural Network With Multi-View Representation Learning. IEEE Trans. Knowl. Data Eng. 35(11): 11476-11488 (2023) - [j5]Qiming Li, Zhao Zhang, Fuzhen Zhuang, Yongjun Xu, Chao Li:
Topic-aware Intention Network for Explainable Recommendation with Knowledge Enhancement. ACM Trans. Inf. Syst. 41(4): 92:1-92:23 (2023) - [c24]Zhao Zhang, Fuwei Zhang, Fuzhen Zhuang, Yongjun Xu:
Knowledge Graph Error Detection with Hierarchical Path Structure. CIKM 2023: 4430-4434 - [c23]Yuanzhou Yao, Zhao Zhang, Kaijia Yang, Huasheng Liang, Qiang Yan, Yongjun Xu:
An Auxiliary Task Boosted Multi-task Learning Method for Service Account Retrieval with Limited Human Annotation. EMNLP (Industry Track) 2023: 522-531 - [c22]Meng Yuan, Fuzhen Zhuang, Zhao Zhang, Deqing Wang, Jin Dong:
Knowledge-based Multiple Adaptive Spaces Fusion for Recommendation. RecSys 2023: 565-575 - [c21]Zhao Zhang, Zhanpeng Guan, Fuwei Zhang, Fuzhen Zhuang, Zhulin An, Fei Wang, Yongjun Xu:
Weighted Knowledge Graph Embedding. SIGIR 2023: 867-877 - [c20]Yiqing Wu, Ruobing Xie, Zhao Zhang, Yongchun Zhu, Fuzhen Zhuang, Jie Zhou, Yongjun Xu, Qing He:
Attacking Pre-trained Recommendation. SIGIR 2023: 1811-1815 - [c19]Yuanzhou Yao, Zhao Zhang, Kaijia Yang, Huasheng Liang, Qiang Yan, Fuzhen Zhuang, Yongjun Xu, Boyu Diao, Chao Li:
A Knowledge Enhanced Hierarchical Fusion Network for CTR Prediction under Account Search Scenario in WeChat. WWW (Companion Volume) 2023: 475-479 - [i13]Yiqing Wu, Ruobing Xie, Zhao Zhang, Yongchun Zhu, Fuzhen Zhuang, Jie Zhou, Yongjun Xu, Qing He:
Attacking Pre-trained Recommendation. CoRR abs/2305.03995 (2023) - [i12]Zezhi Shao, Fei Wang, Zhao Zhang, Yuchen Fang, Guangyin Jin, Yongjun Xu:
HUTFormer: Hierarchical U-Net Transformer for Long-Term Traffic Forecasting. CoRR abs/2307.14596 (2023) - [i11]Meng Yuan, Fuzhen Zhuang, Zhao Zhang, Deqing Wang, Jin Dong:
Knowledge-based Multiple Adaptive Spaces Fusion for Recommendation. CoRR abs/2308.15244 (2023) - [i10]Zezhi Shao, Fei Wang, Yongjun Xu, Wei Wei, Chengqing Yu, Zhao Zhang, Di Yao, Guangyin Jin, Xin Cao, Gao Cong, Christian S. Jensen, Xueqi Cheng:
Exploring Progress in Multivariate Time Series Forecasting: Comprehensive Benchmarking and Heterogeneity Analysis. CoRR abs/2310.06119 (2023) - 2022
- [j4]Zezhi Shao, Zhao Zhang, Wei Wei, Fei Wang, Yongjun Xu, Xin Cao, Christian S. Jensen:
Decoupled Dynamic Spatial-Temporal Graph Neural Network for Traffic Forecasting. Proc. VLDB Endow. 15(11): 2733-2746 (2022) - [j3]Tao Sun, Yongjun Xu, Zhao Zhang, Lin Wu, Fei Wang:
A Hierarchical Spatial-Temporal Embedding Method Based on Enhanced Trajectory Features for Ship Type Classification. Sensors 22(3): 711 (2022) - [c18]Fuwei Zhang, Zhao Zhang, Xiang Ao, Dehong Gao, Fuzhen Zhuang, Yi Wei, Qing He:
Mind the Gap: Cross-Lingual Information Retrieval with Hierarchical Knowledge Enhancement. AAAI 2022: 4345-4353 - [c17]Fuwei Zhang, Zhao Zhang, Fuzhen Zhuang, Jingjing Gu, Zhiping Shi, Qing He:
Clustering-Enhanced Knowledge Graph Embedding. Big Data (CCF) 2022: 104-123 - [c16]Yubo Liang, Zezhi Shao, Fei Wang, Zhao Zhang, Tao Sun, Yongjun Xu:
BasicTS: An Open Source Fair Multivariate Time Series Prediction Benchmark. Bench 2022: 87-101 - [c15]Jian Pan, Zhao Zhang, Fuzhen Zhuang, Jingyuan Yang, Zhiping Shi:
Knowledge-Aware Topological Networks for Recommendation. CCKS 2022: 189-201 - [c14]Fuwei Zhang, Zhao Zhang, Xiang Ao, Fuzhen Zhuang, Yongjun Xu, Qing He:
Along the Time: Timeline-traced Embedding for Temporal Knowledge Graph Completion. CIKM 2022: 2529-2538 - [c13]Zezhi Shao, Zhao Zhang, Fei Wang, Wei Wei, Yongjun Xu:
Spatial-Temporal Identity: A Simple yet Effective Baseline for Multivariate Time Series Forecasting. CIKM 2022: 4454-4458 - [c12]Yuanzhou Yao, Zhao Zhang, Yongjun Xu, Chao Li:
Data Augmentation for Few-Shot Knowledge Graph Completion from Hierarchical Perspective. COLING 2022: 2494-2503 - [c11]Wei Chen, Jinglong Du, Zhao Zhang, Fuzhen Zhuang, Zhongshi He:
A Hierarchical Interactive Network for Joint Span-based Aspect-Sentiment Analysis. COLING 2022: 7013-7019 - [c10]Tao Sun, Fei Wang, Zhao Zhang, Lin Wu, Yongjun Xu:
Human Mobility Identification by Deep Behavior Relevant Location Representation. DASFAA (2) 2022: 439-454 - [c9]Qiming Li, Zhao Zhang, Boyu Diao, Yongjun Xu, Chao Li:
Towards Understanding the Effect of Node Features on the Predictions of Graph Neural Networks. ICANN (2) 2022: 706-718 - [c8]Zhenwei Tang, Shichao Pei, Zhao Zhang, Yongchun Zhu, Fuzhen Zhuang, Robert Hoehndorf, Xiangliang Zhang:
Positive-Unlabeled Learning with Adversarial Data Augmentation for Knowledge Graph Completion. IJCAI 2022: 2248-2254 - [c7]Zezhi Shao, Zhao Zhang, Fei Wang, Yongjun Xu:
Pre-training Enhanced Spatial-temporal Graph Neural Network for Multivariate Time Series Forecasting. KDD 2022: 1567-1577 - [c6]Tangwen Qian, Yongjun Xu, Zhao Zhang, Fei Wang:
Trajectory Prediction from Hierarchical Perspective. ACM Multimedia 2022: 6822-6830 - [c5]Shuokai Li, Yongchun Zhu, Ruobing Xie, Zhenwei Tang, Zhao Zhang, Fuzhen Zhuang, Qing He, Hui Xiong:
Customized Conversational Recommender Systems. ECML/PKDD (2) 2022: 740-756 - [i9]Zhenwei Tang, Shichao Pei, Zhao Zhang, Yongchun Zhu, Fuzhen Zhuang, Robert Hoehndorf, Xiangliang Zhang:
Positive-Unlabeled Learning with Adversarial Data Augmentation for Knowledge Graph Completion. CoRR abs/2205.00904 (2022) - [i8]Zezhi Shao, Zhao Zhang, Wei Wei, Fei Wang, Yongjun Xu, Xin Cao, Christian S. Jensen:
Decoupled Dynamic Spatial-Temporal Graph Neural Network for Traffic Forecasting. CoRR abs/2206.09112 (2022) - [i7]Zezhi Shao, Zhao Zhang, Fei Wang, Yongjun Xu:
Pre-training Enhanced Spatial-temporal Graph Neural Network for Multivariate Time Series Forecasting. CoRR abs/2206.09113 (2022) - [i6]Shuokai Li, Yongchun Zhu, Ruobing Xie, Zhenwei Tang, Zhao Zhang, Fuzhen Zhuang, Qing He, Hui Xiong:
Customized Conversational Recommender Systems. CoRR abs/2207.00814 (2022) - [i5]Zezhi Shao, Zhao Zhang, Fei Wang, Wei Wei, Yongjun Xu:
Spatial-Temporal Identity: A Simple yet Effective Baseline for Multivariate Time Series Forecasting. CoRR abs/2208.05233 (2022) - [i4]Wei Chen, Jinglong Du, Zhao Zhang, Fuzhen Zhuang, Zhongshi He:
A Hierarchical Interactive Network for Joint Span-based Aspect-Sentiment Analysis. CoRR abs/2208.11283 (2022) - 2021
- [j2]Zhao Zhang, Fuzhen Zhuang, Meng Qu, Zheng-Yu Niu, Hui Xiong, Qing He:
Knowledge graph embedding with shared latent semantic units. Neural Networks 139: 140-148 (2021) - [c4]Runchuan Wang, Zhao Zhang, Fuzhen Zhuang, Dehong Gao, Yi Wei, Qing He:
Adversarial Domain Adaptation for Cross-lingual Information Retrieval with Multilingual BERT. CIKM 2021: 3498-3502 - [i3]Zezhi Shao, Yongjun Xu, Wei Wei, Fei Wang, Zhao Zhang, Feida Zhu:
Heterogeneous Graph Neural Network with Multi-view Representation Learning. CoRR abs/2108.13650 (2021) - [i2]Zhao Zhang, Fuzhen Zhuang, Hengshu Zhu, Chao Li, Hui Xiong, Qing He, Yongjun Xu:
Towards Robust Knowledge Graph Embedding via Multi-task Reinforcement Learning. CoRR abs/2111.06103 (2021) - [i1]Fuwei Zhang, Zhao Zhang, Xiang Ao, Dehong Gao, Fuzhen Zhuang, Yi Wei, Qing He:
Mind the Gap: Cross-Lingual Information Retrieval with Hierarchical Knowledge Enhancement. CoRR abs/2112.13510 (2021) - 2020
- [c3]Zhao Zhang, Fuzhen Zhuang, Hengshu Zhu, Zhi-Ping Shi, Hui Xiong, Qing He:
Relational Graph Neural Network with Hierarchical Attention for Knowledge Graph Completion. AAAI 2020: 9612-9619
2010 – 2019
- 2019
- [j1]Zhao Zhang, Fuzhen Zhuang, Xuebing Li, Zheng-Yu Niu, Jia He, Qing He, Hui Xiong:
Knowledge triple mining via multi-task learning. Inf. Syst. 80: 64-75 (2019) - 2018
- [c2]Zhao Zhang, Fuzhen Zhuang, Zheng-Yu Niu, Deqing Wang, Qing He:
MultiE: Multi-Task Embedding for Knowledge Base Completion. CIKM 2018: 1715-1718 - [c1]Zhao Zhang, Fuzhen Zhuang, Meng Qu, Fen Lin, Qing He:
Knowledge Graph Embedding with Hierarchical Relation Structure. EMNLP 2018: 3198-3207
Coauthor Index
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