Huan Zhao - RankMe

69 papers A* 14A 9Journal 41Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	KnowFlow: Empowering decision-making on networks with knowledge-streamlined agent. Neural Networks Xiaohan Zheng, Lanning Wei, Huan Zhao, Quanming Yao
2025	J	`jnl`	Event AutoAugment: Word-level data augmentation for textual event detection. Expert Syst. Appl. Jun Gao, Huan Zhao, Wei Wang, Changlong Yu, Ruifeng Xu
2025	J	`jnl`	Meta-path based proximity learning in heterogeneous information networks. Data Min. Knowl. Discov. Wenyi Xiao, Huan Zhao, Vincent W. Zheng, Yangqiu Song
2024	A*	`conf`	Customizing Graph Neural Network for CAD Assembly Recommendation. KDD Fengqi Liang, Huan Zhao, Yuhan Quan, Wei Fang, Chuan Shi
2024	J	`jnl`	EventRL: Enhancing Event Extraction with Outcome Supervision for Large Language Models. CoRR Jun Gao, Huan Zhao, Wei Wang, Changlong Yu, Ruifeng Xu
2024	J	`jnl`	Neural Architecture Search for GNN-Based Graph Classification. ACM Trans. Inf. Syst. Lanning Wei, Huan Zhao, Zhiqiang He, Quanming Yao
2024	J	`jnl`	Towards Versatile Graph Learning Approach: from the Perspective of Large Language Models. CoRR Lanning Wei, Jun Gao, Huan Zhao, Quanming Yao
2023	A*	`conf`	Automated 3D Pre-Training for Molecular Property Prediction. KDD Xu Wang, Huan Zhao, Wei-Wei Tu, Quanming Yao
2023	J	`jnl`	Automated 3D Pre-Training for Molecular Property Prediction. CoRR Xu Wang, Huan Zhao, Weiwei Tu, Quanming Yao
2023	J	`jnl`	Benchmarking Large Language Models with Augmented Instructions for Fine-grained Information Extraction. CoRR Jun Gao, Huan Zhao, Yice Zhang, Wei Wang, Changlong Yu, Ruifeng Xu
2023	J	`jnl`	Exploring the Feasibility of ChatGPT for Event Extraction. CoRR Jun Gao, Huan Zhao, Changlong Yu, Ruifeng Xu
2023	J	`jnl`	Mask-then-Fill: A Flexible and Effective Data Augmentation Framework for Event Extraction. CoRR Jun Gao, Changlong Yu, Wei Wang, Huan Zhao, Ruifeng Xu
2023	A	`conf`	Node-dependent Semantic Search over Heterogeneous Graph Neural Networks. CIKM Zhenyi Wang, Huan Zhao, Fengqi Liang, Chuan Shi
2023	A	`conf`	Retrieving GNN Architecture for Collaborative Filtering. CIKM Fengqi Liang, Huan Zhao, Zhenyi Wang, Wei Fang, Chuan Shi
2023	A*	`conf`	Search to Capture Long-range Dependency with Stacking GNNs for Graph Classification. WWW Lanning Wei, Zhiqiang He, Huan Zhao, Quanming Yao
2023	J	`jnl`	Search to Capture Long-range Dependency with Stacking GNNs for Graph Classification. CoRR Lanning Wei, Zhiqiang He, Huan Zhao, Quanming Yao
2023	J	`jnl`	Unleashing the Power of Graph Learning through LLM-based Autonomous Agents. CoRR Lanning Wei, Zhiqiang He, Huan Zhao, Quanming Yao
2022	J	`jnl`	Bridging the Gap of AutoGraph Between Academia and Industry: Analyzing AutoGraph Challenge at KDD Cup 2020. Frontiers Artif. Intell. Zhen Xu, Lanning Wei, Huan Zhao, Rex Ying, Quanming Yao, Wei-Wei Tu, Isabelle Guyon
2022	J	`jnl`	Bridging the Gap of AutoGraph between Academia and Industry: Analysing AutoGraph Challenge at KDD Cup 2020. CoRR Zhen Xu, Lanning Wei, Huan Zhao, Rex Ying, Quanming Yao, Wei-Wei Tu, Isabelle Guyon
2022	J	`jnl`	Codabench: Flexible, easy-to-use, and reproducible meta-benchmark platform. Patterns Zhen Xu, Sergio Escalera, Adrien Pavão, Magali Richard, Wei-Wei Tu, Quanming Yao, Huan Zhao, Isabelle Guyon
2022	A*	`conf`	Designing the Topology of Graph Neural Networks: A Novel Feature Fusion Perspective. WWW Lanning Wei, Huan Zhao, Zhiqiang He
2022	J	`jnl`	Enhancing Intra-class Information Extraction for Heterophilous Graphs: One Neural Architecture Search Approach. CoRR Lanning Wei, Zhiqiang He, Huan Zhao, Quanming Yao
2022	J	`jnl`	Graph Neural Networks for Double-Strand DNA Breaks Prediction. CoRR Xu Wang, Huan Zhao, Weiwei Tu, Hao Li, Yu Sun, Xiaochen Bo
2022	J	`jnl`	Graph Property Prediction on Open Graph Benchmark: A Winning Solution by Graph Neural Architecture Search. CoRR Xu Wang, Huan Zhao, Lanning Wei, Quanming Yao
2022	—	`conf`	Improving Event Representation via Simultaneous Weakly Supervised Contrastive Learning and Clustering. ACL (1) Jun Gao, Wei Wang, Changlong Yu, Huan Zhao, Wilfred Ng, Ruifeng Xu
2022	J	`jnl`	Improving Event Representation via Simultaneous Weakly Supervised Contrastive Learning and Clustering. CoRR Jun Gao, Wei Wang, Changlong Yu, Huan Zhao, Wilfred Ng, Ruifeng Xu
2022	—	`conf`	Mask-then-Fill: A Flexible and Effective Data Augmentation Framework for Event Extraction. EMNLP (Findings) Jun Gao, Changlong Yu, Wei Wang, Huan Zhao, Ruifeng Xu
2022	A	`conf`	Profiling the Design Space for Graph Neural Networks based Collaborative Filtering. WSDM Zhenyi Wang, Huan Zhao, Chuan Shi
2022	A*	`conf`	Space4HGNN: A Novel, Modularized and Reproducible Platform to Evaluate Heterogeneous Graph Neural Network. SIGIR Tianyu Zhao, Cheng Yang, Yibo Li, Quan Gan, Zhenyi Wang, Fengqi Liang, Huan Zhao, Yingxia Shao, Xiao Wang, Chuan Shi
2022	J	`jnl`	Space4HGNN: A Novel, Modularized and Reproducible Platform to Evaluate Heterogeneous Graph Neural Network. CoRR Tianyu Zhao, Cheng Yang, Yibo Li, Quan Gan, Zhenyi Wang, Fengqi Liang, Huan Zhao, Yingxia Shao, Xiao Wang, Chuan Shi
2022	A*	`conf`	Translation-Based Implicit Annotation Projection for Zero-Shot Cross-Lingual Event Argument Extraction. SIGIR Chenwei Lou, Jun Gao, Changlong Yu, Wei Wang, Huan Zhao, Weiwei Tu, Ruifeng Xu
2021	J	`jnl`	Codabench: Flexible, Easy-to-Use and Reproducible Benchmarking for Everyone. CoRR Zhen Xu, Huan Zhao, Wei-Wei Tu, Magali Richard, Sergio Escalera, Isabelle Guyon
2021	J	`jnl`	Designing the Topology of Graph Neural Networks: A Novel Feature Fusion Perspective. CoRR Lanning Wei, Huan Zhao, Zhiqiang He
2021	A*	`conf`	DiffMG: Differentiable Meta Graph Search for Heterogeneous Graph Neural Networks. KDD Yuhui Ding, Quanming Yao, Huan Zhao, Tong Zhang
2021	J	`jnl`	Learn Layer-wise Connections in Graph Neural Networks. CoRR Lanning Wei, Huan Zhao, Zhiqiang He
2021	A	`conf`	Multi-Relational Graph based Heterogeneous Multi-Task Learning in Community Question Answering. CIKM Zizheng Lin, Haowen Ke, Ngo-Yin Wong, Jiaxin Bai, Yangqiu Song, Huan Zhao, Junpeng Ye
2021	J	`jnl`	Multi-Relational Graph based Heterogeneous Multi-Task Learning in Community Question Answering. CoRR Zizheng Lin, Haowen Ke, Ngo-Yin Wong, Jiaxin Bai, Yangqiu Song, Huan Zhao, Junpeng Ye
2021	A	`conf`	Neural PathSim for Inductive Similarity Search in Heterogeneous Information Networks. CIKM Wenyi Xiao, Huan Zhao, Vincent W. Zheng, Yangqiu Song
2021	J	`jnl`	Neural PathSim for Inductive Similarity Search in Heterogeneous Information Networks. CoRR Wenyi Xiao, Huan Zhao, Vincent W. Zheng, Yangqiu Song
2021	A	`conf`	Pooling Architecture Search for Graph Classification. CIKM Lanning Wei, Huan Zhao, Quanming Yao, Zhiqiang He
2021	J	`jnl`	Pooling Architecture Search for Graph Classification. CoRR Lanning Wei, Huan Zhao, Quanming Yao, Zhiqiang He
2021	J	`jnl`	Ranking Users in Social Networks with Motif-Based PageRank. IEEE Trans. Knowl. Data Eng. Huan Zhao, Xiaogang Xu, Yangqiu Song, Dik Lun Lee, Zhao Chen, Han Gao
2021	A*	`conf`	Search to aggregate neighborhood for graph neural network. ICDE Huan Zhao, Quanming Yao, Weiwei Tu
2021	J	`jnl`	Search to aggregate neighborhood for graph neural network. CoRR Huan Zhao, Quanming Yao, Wei-Wei Tu
2021	J	`jnl`	Side Information Fusion for Recommender Systems over Heterogeneous Information Network. ACM Trans. Knowl. Discov. Data Huan Zhao, Quanming Yao, Yangqiu Song, James T. Kwok, Dik Lun Lee
2021	J	`jnl`	Social explorative attention based recommendation for content distribution platforms. Data Min. Knowl. Discov. Wenyi Xiao, Huan Zhao, Haojie Pan, Yangqiu Song, Vincent W. Zheng, Qiang Yang
2021	J	`jnl`	TabGNN: Multiplex Graph Neural Network for Tabular Data Prediction. CoRR Xiawei Guo, Yuhan Quan, Huan Zhao, Quanming Yao, Yong Li, Weiwei Tu
2020	A*	`conf`	Billion-scale Recommendation with Heterogeneous Side Information at Taobao. ICDE Andreas Pfadler, Huan Zhao, Jizhe Wang, Lifeng Wang, Pipei Huang, Dik Lun Lee
2020	—	`conf`	Simplifying Architecture Search for Graph Neural Network. CIKM (Workshops) Huan Zhao, Lanning Wei, Quanming Yao
2020	J	`jnl`	Simplifying Architecture Search for Graph Neural Network. CoRR Huan Zhao, Lanning Wei, Quanming Yao
2020	J	`jnl`	Social Explorative Attention based Recommendation for Content Distribution Platforms. CoRR Wenyi Xiao, Huan Zhao, Haojie Pan, Yangqiu Song, Vincent W. Zheng, Qiang Yang
2020	A	`conf`	Vertex-reinforced Random Walk for Network Embedding. SDM Wenyi Xiao, Huan Zhao, Vincent W. Zheng, Yangqiu Song
2020	J	`jnl`	Vertex-reinforced Random Walk for Network Embedding. CoRR Wenyi Xiao, Huan Zhao, Vincent W. Zheng, Yangqiu Song
2019	A*	`conf`	Beyond Personalization: Social Content Recommendation for Creator Equality and Consumer Satisfaction. KDD Wenyi Xiao, Huan Zhao, Haojie Pan, Yangqiu Song, Vincent W. Zheng, Qiang Yang
2019	J	`jnl`	Beyond Personalization: Social Content Recommendation for Creator Equality and Consumer Satisfaction. CoRR Wenyi Xiao, Huan Zhao, Haojie Pan, Yangqiu Song, Vincent W. Zheng, Qiang Yang
2019	A	`conf`	Motif Enhanced Recommendation over Heterogeneous Information Network. CIKM Huan Zhao, Yingqi Zhou, Yangqiu Song, Dik Lun Lee
2019	J	`jnl`	Motif Enhanced Recommendation over Heterogeneous Information Network. CoRR Huan Zhao, Yingqi Zhou, Yangqiu Song, Dik Lun Lee
2019	A	`conf`	Multi-Interest Network with Dynamic Routing for Recommendation at Tmall. CIKM Chao Li, Zhiyuan Liu, Mengmeng Wu, Yuchi Xu, Huan Zhao, Pipei Huang, Guoliang Kang, Qiwei Chen, Wei Li, Dik Lun Lee
2019	J	`jnl`	Multi-Interest Network with Dynamic Routing for Recommendation at Tmall. CoRR Chao Li, Zhiyuan Liu, Mengmeng Wu, Yuchi Xu, Pipei Huang, Huan Zhao, Guoliang Kang, Qiwei Chen, Wei Li, Dik Lun Lee
2019	J	`jnl`	Ranking Users in Social Networks with Motif-based PageRank. CoRR Huan Zhao, Xiaogang Xu, Yangqiu Song, Dik Lun Lee, Zhao Chen, Han Gao
2018	A*	`conf`	Billion-scale Commodity Embedding for E-commerce Recommendation in Alibaba. KDD Jizhe Wang, Pipei Huang, Huan Zhao, Zhibo Zhang, Binqiang Zhao, Dik Lun Lee
2018	J	`jnl`	Billion-scale Commodity Embedding for E-commerce Recommendation in Alibaba. CoRR Jizhe Wang, Pipei Huang, Huan Zhao, Zhibo Zhang, Binqiang Zhao, Dik Lun Lee
2018	J	`jnl`	Learning with Heterogeneous Side Information Fusion for Recommender Systems. CoRR Huan Zhao, Quanming Yao, Yangqiu Song, James T. Kwok, Dik Lun Lee
2018	A*	`conf`	Ranking Users in Social Networks With Higher-Order Structures. AAAI Huan Zhao, Xiaogang Xu, Yangqiu Song, Dik Lun Lee, Zhao Chen, Han Gao
2017	A*	`conf`	Collaborative Filtering with Social Local Models. ICDM Huan Zhao, Quanming Yao, James T. Kwok, Dik Lun Lee
2017	A*	`conf`	Meta-Graph Based Recommendation Fusion over Heterogeneous Information Networks. KDD Huan Zhao, Quanming Yao, Jianda Li, Yangqiu Song, Dik Lun Lee
2017	J	`jnl`	Social Recommendation With Local Low Rank Matrix Approximation. CoRR Huan Zhao, Quanming Yao, Dik Lun Lee
2014	—	`conf`	Cannabis_TREATS_cancer: Incorporating Fine-Grained Ontological Relations in Medical Document Ranking. NLPCC Yunqing Xia, Zhongda Xie, Qiuge Zhang, Huiyuan Wang, Huan Zhao
2014	—	`conf`	Normalization of Chinese Informal Medical Terms Based on Multi-field Indexing. NLPCC Yunqing Xia, Huan Zhao, Kaiyu Liu, Hualing Zhu