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ORCIDHuan Zhao 0002
Person information
- affiliation: 4Paradigm, Inc., Beijing, China
- affiliation (PhD 2019): Hong Kong University of Science and Technology, Department of Computer Science and Engineering, Hong Kong
Other persons with the same name
- Huan Zhao — disambiguation page
- Huan Zhao 0001
![[0000-0002-1589-5375]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-1589-5375")
— Huazhong University of Science and Technology, State Key Laboratory of Intelligent Manufacturing Equipment and Technology, Wuhan, China - Huan Zhao 0003 — Hunan University, College of Computer Science and Electronic Engineering, Key Laboratory for Embedded and Network Computing of Hunan Province, Changsha, China (and 1 more)
- Huan Zhao 0004 — Nanyang Technological University, School of Electrical and Electronic Engineering, Singapore (and 1 more)
- Huan Zhao 0005 — Facebook, New York, NY, USA (and 1 more)
- Huan Zhao 0006 — Xi'an Jiaotong University, School of Mechanical Engineering, Key Laboratory of Education Ministry for Modern Design and Rotor-Bearing System, Xi'an, China
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2020 – today
- 2024
[j6]Lanning Wei, Huan Zhao, Zhiqiang He, Quanming Yao:
Neural Architecture Search for GNN-Based Graph Classification. ACM Trans. Inf. Syst. 42(1): 1:1-1:29 (2024)- [c28]Fengqi Liang, Huan Zhao, Yuhan Quan, Wei Fang, Chuan Shi:
Customizing Graph Neural Network for CAD Assembly Recommendation. KDD 2024: 1746-1757 - [i32]Jun Gao, Huan Zhao, Wei Wang, Changlong Yu, Ruifeng Xu:
EventRL: Enhancing Event Extraction with Outcome Supervision for Large Language Models. CoRR abs/2402.11430 (2024) - [i31]Lanning Wei, Jun Gao, Huan Zhao, Quanming Yao:
Towards Versatile Graph Learning Approach: from the Perspective of Large Language Models. CoRR abs/2402.11641 (2024) - 2023
- [c27]Fengqi Liang, Huan Zhao, Zhenyi Wang, Wei Fang, Chuan Shi:
Retrieving GNN Architecture for Collaborative Filtering. CIKM 2023: 1379-1388 - [c26]Zhenyi Wang, Huan Zhao, Fengqi Liang, Chuan Shi:
Node-dependent Semantic Search over Heterogeneous Graph Neural Networks. CIKM 2023: 2646-2655 - [c25]Xu Wang, Huan Zhao, Wei-Wei Tu, Quanming Yao:
Automated 3D Pre-Training for Molecular Property Prediction. KDD 2023: 2419-2430 - [c24]Lanning Wei, Zhiqiang He, Huan Zhao, Quanming Yao:
Search to Capture Long-range Dependency with Stacking GNNs for Graph Classification. WWW 2023: 588-598 - [i30]Jun Gao, Changlong Yu, Wei Wang, Huan Zhao, Ruifeng Xu:
Mask-then-Fill: A Flexible and Effective Data Augmentation Framework for Event Extraction. CoRR abs/2301.02427 (2023) - [i29]Lanning Wei, Zhiqiang He, Huan Zhao, Quanming Yao:
Search to Capture Long-range Dependency with Stacking GNNs for Graph Classification. CoRR abs/2302.08671 (2023) - [i28]Jun Gao, Huan Zhao, Changlong Yu, Ruifeng Xu:
Exploring the Feasibility of ChatGPT for Event Extraction. CoRR abs/2303.03836 (2023) - [i27]Xu Wang, Huan Zhao, Weiwei Tu, Quanming Yao:
Automated 3D Pre-Training for Molecular Property Prediction. CoRR abs/2306.07812 (2023) - [i26]Lanning Wei, Zhiqiang He, Huan Zhao, Quanming Yao:
Unleashing the Power of Graph Learning through LLM-based Autonomous Agents. CoRR abs/2309.04565 (2023) - [i25]Jun Gao, Huan Zhao, Yice Zhang, Wei Wang, Changlong Yu, Ruifeng Xu:
Benchmarking Large Language Models with Augmented Instructions for Fine-grained Information Extraction. CoRR abs/2310.05092 (2023) - 2022
- [j5]Zhen Xu, Lanning Wei, Huan Zhao, Rex Ying, Quanming Yao, Wei-Wei Tu, Isabelle Guyon:
Bridging the Gap of AutoGraph Between Academia and Industry: Analyzing AutoGraph Challenge at KDD Cup 2020. Frontiers Artif. Intell. 5 (2022) - [j4]Zhen Xu, Sergio Escalera, Adrien Pavão, Magali Richard, Wei-Wei Tu, Quanming Yao, Huan Zhao, Isabelle Guyon:
Codabench: Flexible, easy-to-use, and reproducible meta-benchmark platform. Patterns 3(7): 100543 (2022) - [c23]Jun Gao, Wei Wang, Changlong Yu, Huan Zhao, Wilfred Ng, Ruifeng Xu:
Improving Event Representation via Simultaneous Weakly Supervised Contrastive Learning and Clustering. ACL (1) 2022: 3036-3049 - [c22]Jun Gao, Changlong Yu, Wei Wang, Huan Zhao, Ruifeng Xu:
Mask-then-Fill: A Flexible and Effective Data Augmentation Framework for Event Extraction. EMNLP (Findings) 2022: 4537-4544 - [c21]Chenwei Lou, Jun Gao, Changlong Yu, Wei Wang, Huan Zhao, Weiwei Tu, Ruifeng Xu:
Translation-Based Implicit Annotation Projection for Zero-Shot Cross-Lingual Event Argument Extraction. SIGIR 2022: 2076-2081 - [c20]Tianyu Zhao, Cheng Yang, Yibo Li, Quan Gan, Zhenyi Wang, Fengqi Liang, Huan Zhao, Yingxia Shao, Xiao Wang, Chuan Shi:
Space4HGNN: A Novel, Modularized and Reproducible Platform to Evaluate Heterogeneous Graph Neural Network. SIGIR 2022: 2776-2789 - [c19]Zhenyi Wang, Huan Zhao, Chuan Shi:
Profiling the Design Space for Graph Neural Networks based Collaborative Filtering. WSDM 2022: 1109-1119 - [c18]Lanning Wei, Huan Zhao, Zhiqiang He:
Designing the Topology of Graph Neural Networks: A Novel Feature Fusion Perspective. WWW 2022: 1381-1391 - [i24]Xu Wang, Huan Zhao, Weiwei Tu, Hao Li, Yu Sun, Xiaochen Bo:
Graph Neural Networks for Double-Strand DNA Breaks Prediction. CoRR abs/2201.01855 (2022) - [i23]Tianyu Zhao, Cheng Yang, Yibo Li, Quan Gan, Zhenyi Wang, Fengqi Liang, Huan Zhao, Yingxia Shao, Xiao Wang, Chuan Shi:
Space4HGNN: A Novel, Modularized and Reproducible Platform to Evaluate Heterogeneous Graph Neural Network. CoRR abs/2202.09177 (2022) - [i22]Jun Gao, Wei Wang, Changlong Yu, Huan Zhao, Wilfred Ng, Ruifeng Xu:
Improving Event Representation via Simultaneous Weakly Supervised Contrastive Learning and Clustering. CoRR abs/2203.07633 (2022) - [i21]Zhen Xu, Lanning Wei, Huan Zhao, Rex Ying, Quanming Yao, Wei-Wei Tu, Isabelle Guyon:
Bridging the Gap of AutoGraph between Academia and Industry: Analysing AutoGraph Challenge at KDD Cup 2020. CoRR abs/2204.02625 (2022) - [i20]Xu Wang, Huan Zhao, Lanning Wei, Quanming Yao:
Graph Property Prediction on Open Graph Benchmark: A Winning Solution by Graph Neural Architecture Search. CoRR abs/2207.06027 (2022) - [i19]Lanning Wei, Zhiqiang He, Huan Zhao, Quanming Yao:
Enhancing Intra-class Information Extraction for Heterophilous Graphs: One Neural Architecture Search Approach. CoRR abs/2211.10990 (2022) - 2021
- [j3]Wenyi Xiao, Huan Zhao, Haojie Pan, Yangqiu Song, Vincent W. Zheng, Qiang Yang:
Social explorative attention based recommendation for content distribution platforms. Data Min. Knowl. Discov. 35(2): 533-567 (2021) - [j2]Huan Zhao, Quanming Yao, Yangqiu Song, James T. Kwok, Dik Lun Lee:
Side Information Fusion for Recommender Systems over Heterogeneous Information Network. ACM Trans. Knowl. Discov. Data 15(4): 60:1-60:32 (2021) - [j1]Huan Zhao, Xiaogang Xu, Yangqiu Song, Dik Lun Lee, Zhao Chen, Han Gao:
Ranking Users in Social Networks with Motif-Based PageRank. IEEE Trans. Knowl. Data Eng. 33(5): 2179-2192 (2021) - [c17]Zizheng Lin, Haowen Ke, Ngo-Yin Wong, Jiaxin Bai, Yangqiu Song, Huan Zhao, Junpeng Ye:
Multi-Relational Graph based Heterogeneous Multi-Task Learning in Community Question Answering. CIKM 2021: 1038-1047 - [c16]Lanning Wei, Huan Zhao, Quanming Yao, Zhiqiang He:
Pooling Architecture Search for Graph Classification. CIKM 2021: 2091-2100 - [c15]Wenyi Xiao, Huan Zhao, Vincent W. Zheng, Yangqiu Song:
Neural PathSim for Inductive Similarity Search in Heterogeneous Information Networks. CIKM 2021: 2201-2210 - [c14]Huan Zhao, Quanming Yao, Weiwei Tu:
Search to aggregate neighborhood for graph neural network. ICDE 2021: 552-563 - [c13]Yuhui Ding, Quanming Yao, Huan Zhao, Tong Zhang:
DiffMG: Differentiable Meta Graph Search for Heterogeneous Graph Neural Networks. KDD 2021: 279-288 - [i18]Huan Zhao, Quanming Yao, Wei-Wei Tu:
Search to aggregate neighborhood for graph neural network. CoRR abs/2104.06608 (2021) - [i17]Xiawei Guo, Yuhan Quan, Huan Zhao, Quanming Yao, Yong Li, Weiwei Tu:
TabGNN: Multiplex Graph Neural Network for Tabular Data Prediction. CoRR abs/2108.09127 (2021) - [i16]Lanning Wei, Huan Zhao, Quanming Yao, Zhiqiang He:
Pooling Architecture Search for Graph Classification. CoRR abs/2108.10587 (2021) - [i15]Wenyi Xiao, Huan Zhao, Vincent W. Zheng, Yangqiu Song:
Neural PathSim for Inductive Similarity Search in Heterogeneous Information Networks. CoRR abs/2109.01549 (2021) - [i14]Zizheng Lin, Haowen Ke, Ngo-Yin Wong, Jiaxin Bai, Yangqiu Song, Huan Zhao, Junpeng Ye:
Multi-Relational Graph based Heterogeneous Multi-Task Learning in Community Question Answering. CoRR abs/2110.02059 (2021) - [i13]Zhen Xu, Huan Zhao, Wei-Wei Tu, Magali Richard, Sergio Escalera, Isabelle Guyon:
Codabench: Flexible, Easy-to-Use and Reproducible Benchmarking for Everyone. CoRR abs/2110.05802 (2021) - [i12]Lanning Wei, Huan Zhao, Zhiqiang He:
Learn Layer-wise Connections in Graph Neural Networks. CoRR abs/2112.13585 (2021) - [i11]Lanning Wei, Huan Zhao, Zhiqiang He:
Designing the Topology of Graph Neural Networks: A Novel Feature Fusion Perspective. CoRR abs/2112.14531 (2021) - 2020
- [c12]Huan Zhao, Lanning Wei, Quanming Yao:
Simplifying Architecture Search for Graph Neural Network. CIKM (Workshops) 2020 - [c11]Andreas Pfadler, Huan Zhao, Jizhe Wang, Lifeng Wang, Pipei Huang, Dik Lun Lee:
Billion-scale Recommendation with Heterogeneous Side Information at Taobao. ICDE 2020: 1667-1676 - [c10]Wenyi Xiao, Huan Zhao, Vincent W. Zheng, Yangqiu Song:
Vertex-reinforced Random Walk for Network Embedding. SDM 2020: 595-603 - [i10]Wenyi Xiao, Huan Zhao, Vincent W. Zheng, Yangqiu Song:
Vertex-reinforced Random Walk for Network Embedding. CoRR abs/2002.04497 (2020) - [i9]Huan Zhao, Lanning Wei, Quanming Yao:
Simplifying Architecture Search for Graph Neural Network. CoRR abs/2008.11652 (2020) - [i8]Wenyi Xiao, Huan Zhao, Haojie Pan, Yangqiu Song, Vincent W. Zheng, Qiang Yang:
Social Explorative Attention based Recommendation for Content Distribution Platforms. CoRR abs/2012.04945 (2020)
2010 – 2019
- 2019
- [c9]Huan Zhao, Yingqi Zhou, Yangqiu Song, Dik Lun Lee:
Motif Enhanced Recommendation over Heterogeneous Information Network. CIKM 2019: 2189-2192 - [c8]Chao Li, Zhiyuan Liu, Mengmeng Wu, Yuchi Xu, Huan Zhao, Pipei Huang, Guoliang Kang, Qiwei Chen, Wei Li, Dik Lun Lee:
Multi-Interest Network with Dynamic Routing for Recommendation at Tmall. CIKM 2019: 2615-2623 - [c7]Wenyi Xiao, Huan Zhao, Haojie Pan, Yangqiu Song, Vincent W. Zheng, Qiang Yang:
Beyond Personalization: Social Content Recommendation for Creator Equality and Consumer Satisfaction. KDD 2019: 235-245 - [i7]Chao Li, Zhiyuan Liu, Mengmeng Wu, Yuchi Xu, Pipei Huang, Huan Zhao, Guoliang Kang, Qiwei Chen, Wei Li, Dik Lun Lee:
Multi-Interest Network with Dynamic Routing for Recommendation at Tmall. CoRR abs/1904.08030 (2019) - [i6]Wenyi Xiao, Huan Zhao, Haojie Pan, Yangqiu Song, Vincent W. Zheng, Qiang Yang:
Beyond Personalization: Social Content Recommendation for Creator Equality and Consumer Satisfaction. CoRR abs/1905.11900 (2019) - [i5]Huan Zhao, Yingqi Zhou, Yangqiu Song, Dik Lun Lee:
Motif Enhanced Recommendation over Heterogeneous Information Network. CoRR abs/1908.09701 (2019) - [i4]Huan Zhao, Xiaogang Xu, Yangqiu Song, Dik Lun Lee, Zhao Chen, Han Gao:
Ranking Users in Social Networks with Motif-based PageRank. CoRR abs/1912.11817 (2019) - 2018
- [c6]Huan Zhao, Xiaogang Xu, Yangqiu Song, Dik Lun Lee, Zhao Chen, Han Gao:
Ranking Users in Social Networks With Higher-Order Structures. AAAI 2018: 232-240 - [c5]Jizhe Wang, Pipei Huang, Huan Zhao, Zhibo Zhang, Binqiang Zhao, Dik Lun Lee:
Billion-scale Commodity Embedding for E-commerce Recommendation in Alibaba. KDD 2018: 839-848 - [i3]Huan Zhao, Quanming Yao, Yangqiu Song, James T. Kwok, Dik Lun Lee:
Learning with Heterogeneous Side Information Fusion for Recommender Systems. CoRR abs/1801.02411 (2018) - [i2]Jizhe Wang, Pipei Huang, Huan Zhao, Zhibo Zhang, Binqiang Zhao, Dik Lun Lee:
Billion-scale Commodity Embedding for E-commerce Recommendation in Alibaba. CoRR abs/1803.02349 (2018) - 2017
- [c4]Huan Zhao, Quanming Yao, James T. Kwok, Dik Lun Lee:
Collaborative Filtering with Social Local Models. ICDM 2017: 645-654 - [c3]Huan Zhao, Quanming Yao, Jianda Li, Yangqiu Song, Dik Lun Lee:
Meta-Graph Based Recommendation Fusion over Heterogeneous Information Networks. KDD 2017: 635-644 - [i1]Huan Zhao, Quanming Yao, Dik Lun Lee:
Social Recommendation With Local Low Rank Matrix Approximation. CoRR abs/1704.05735 (2017) - 2014
- [c2]Yunqing Xia, Zhongda Xie, Qiuge Zhang, Huiyuan Wang, Huan Zhao:
Cannabis_TREATS_cancer: Incorporating Fine-Grained Ontological Relations in Medical Document Ranking. NLPCC 2014: 275-285 - [c1]Yunqing Xia, Huan Zhao, Kaiyu Liu, Hualing Zhu:
Normalization of Chinese Informal Medical Terms Based on Multi-field Indexing. NLPCC 2014: 311-320
Coauthor Index
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