Cannabis_TREATS_cancer: Incorporating Fine-Grained Ontological Relations in Medical Document Ranking. - Yunqing Xia; Zhongda Xie; Qiuge Zhang; Huiyuan Wang; Huan Zhao 002 (NLPCC, 2014)

Normalization of Chinese Informal Medical Terms Based on Multi-field Indexing. - Yunqing Xia; Huan Zhao 002; Kaiyu Liu; Hualing Zhu (NLPCC, 2014)

Collaborative Filtering with Social Local Models. - Huan Zhao 002; Quanming Yao; James T. Kwok; Dik Lun Lee (ICDM, 2017)

Meta-Graph Based Recommendation Fusion over Heterogeneous Information Networks. - Huan Zhao 002; Quanming Yao; Jianda Li; Yangqiu Song; Dik Lun Lee (KDD, 2017)

Social Recommendation With Local Low Rank Matrix Approximation. - Huan Zhao 002; Quanming Yao; Dik Lun Lee (CoRR, 2017)

Ranking Users in Social Networks With Higher-Order Structures. - Huan Zhao 002; Xiaogang Xu 002; Yangqiu Song; Dik Lun Lee; Zhao Chen; Han Gao (AAAI, 2018)

Billion-scale Commodity Embedding for E-commerce Recommendation in Alibaba. - Jizhe Wang; Pipei Huang; Huan Zhao 002; Zhibo Zhang; Binqiang Zhao; Dik Lun Lee (KDD, 2018)

Learning with Heterogeneous Side Information Fusion for Recommender Systems. - Huan Zhao 002; Quanming Yao; Yangqiu Song; James T. Kwok; Dik Lun Lee (CoRR, 2018)

Multi-Interest Network with Dynamic Routing for Recommendation at Tmall. - Chao Li; Zhiyuan Liu 001; Mengmeng Wu; Yuchi Xu; Huan Zhao 002; Pipei Huang; Guoliang Kang; Qiwei Chen; Wei Li; Dik Lun Lee (CIKM, 2019)

Motif Enhanced Recommendation over Heterogeneous Information Network. - Huan Zhao 002; Yingqi Zhou; Yangqiu Song; Dik Lun Lee (CIKM, 2019)

Beyond Personalization: Social Content Recommendation for Creator Equality and Consumer Satisfaction. - Wenyi Xiao; Huan Zhao 002; Haojie Pan; Yangqiu Song; Vincent W. Zheng; Qiang Yang 001 (KDD, 2019)

Simplifying Architecture Search for Graph Neural Network. - Huan Zhao 002; Lanning Wei; Quanming Yao (CIKM (Workshops), 2020)

Billion-scale Recommendation with Heterogeneous Side Information at Taobao. - Andreas Pfadler; Huan Zhao 002; Jizhe Wang; Lifeng Wang; Pipei Huang; Dik Lun Lee (ICDE, 2020)

Vertex-reinforced Random Walk for Network Embedding. - Wenyi Xiao; Huan Zhao 002; Vincent W. Zheng; Yangqiu Song (SDM, 2020)

Multi-Relational Graph based Heterogeneous Multi-Task Learning in Community Question Answering. - Zizheng Lin; Haowen Ke; Ngo-Yin Wong; Jiaxin Bai; Yangqiu Song; Huan Zhao 002; Junpeng Ye (CIKM, 2021)

Pooling Architecture Search for Graph Classification. - Lanning Wei; Huan Zhao 002; Quanming Yao; Zhiqiang He 002 (CIKM, 2021)

Neural PathSim for Inductive Similarity Search in Heterogeneous Information Networks. - Wenyi Xiao; Huan Zhao 002; Vincent W. Zheng; Yangqiu Song (CIKM, 2021)

Search to aggregate neighborhood for graph neural network. - Huan Zhao 002; Quanming Yao; Weiwei Tu (ICDE, 2021)

DiffMG: Differentiable Meta Graph Search for Heterogeneous Graph Neural Networks. - Yuhui Ding; Quanming Yao; Huan Zhao 002; Tong Zhang 001 (KDD, 2021)

TabGNN: Multiplex Graph Neural Network for Tabular Data Prediction. - Xiawei Guo; Yuhan Quan; Huan Zhao 002; Quanming Yao; Yong Li 008; Weiwei Tu (CoRR, 2021)

Codabench: Flexible, Easy-to-Use and Reproducible Benchmarking for Everyone. - Zhen Xu 007; Huan Zhao 002; Wei-Wei Tu; Magali Richard; Sergio Escalera; Isabelle Guyon (CoRR, 2021)

Learn Layer-wise Connections in Graph Neural Networks. - Lanning Wei; Huan Zhao 002; Zhiqiang He 002 (CoRR, 2021)

Social explorative attention based recommendation for content distribution platforms. - Wenyi Xiao; Huan Zhao 002; Haojie Pan; Yangqiu Song; Vincent W. Zheng; Qiang Yang 001 (Data Min. Knowl. Discov., 2021)

Side Information Fusion for Recommender Systems over Heterogeneous Information Network. - Huan Zhao 002; Quanming Yao; Yangqiu Song; James T. Kwok; Dik Lun Lee (ACM Trans. Knowl. Discov. Data, 2021)

Ranking Users in Social Networks with Motif-Based PageRank. - Huan Zhao 002; Xiaogang Xu 002; Yangqiu Song; Dik Lun Lee; Zhao Chen; Han Gao (IEEE Trans. Knowl. Data Eng., 2021)

Improving Event Representation via Simultaneous Weakly Supervised Contrastive Learning and Clustering. - Jun Gao; Wei Wang 138; Changlong Yu; Huan Zhao 002; Wilfred Ng; Ruifeng Xu 001 (ACL (1), 2022)

Mask-then-Fill: A Flexible and Effective Data Augmentation Framework for Event Extraction. - Jun Gao; Changlong Yu; Wei Wang 138; Huan Zhao 002; Ruifeng Xu 001 (EMNLP (Findings), 2022)

Translation-Based Implicit Annotation Projection for Zero-Shot Cross-Lingual Event Argument Extraction. - Chenwei Lou; Jun Gao; Changlong Yu; Wei Wang 138; Huan Zhao 002; Weiwei Tu; Ruifeng Xu 001 (SIGIR, 2022)

Space4HGNN: A Novel, Modularized and Reproducible Platform to Evaluate Heterogeneous Graph Neural Network. - Tianyu Zhao; Cheng Yang 002; Yibo Li; Quan Gan; Zhenyi Wang; Fengqi Liang; Huan Zhao 002; Yingxia Shao; Xiao Wang 017; Chuan Shi 001 (SIGIR, 2022)

Profiling the Design Space for Graph Neural Networks based Collaborative Filtering. - Zhenyi Wang; Huan Zhao 002; Chuan Shi 001 (WSDM, 2022)

Designing the Topology of Graph Neural Networks: A Novel Feature Fusion Perspective. - Lanning Wei; Huan Zhao 002; Zhiqiang He 002 (WWW, 2022)

Graph Neural Networks for Double-Strand DNA Breaks Prediction. - Xu Wang; Huan Zhao 002; Weiwei Tu; Hao Li 035; Yu Sun; Xiaochen Bo (CoRR, 2022)

Bridging the Gap of AutoGraph between Academia and Industry: Analysing AutoGraph Challenge at KDD Cup 2020. - Zhen Xu 007; Lanning Wei; Huan Zhao 002; Rex Ying; Quanming Yao; Wei-Wei Tu; Isabelle Guyon (CoRR, 2022)

Graph Property Prediction on Open Graph Benchmark: A Winning Solution by Graph Neural Architecture Search. - Xu Wang; Huan Zhao 002; Lanning Wei; Quanming Yao (CoRR, 2022)

Enhancing Intra-class Information Extraction for Heterophilous Graphs: One Neural Architecture Search Approach. - Lanning Wei; Zhiqiang He 002; Huan Zhao 002; Quanming Yao (CoRR, 2022)

Bridging the Gap of AutoGraph Between Academia and Industry: Analyzing AutoGraph Challenge at KDD Cup 2020. - Zhen Xu 007; Lanning Wei; Huan Zhao 002; Rex Ying; Quanming Yao; Wei-Wei Tu; Isabelle Guyon (Frontiers Artif. Intell., 2022)

Codabench: Flexible, easy-to-use, and reproducible meta-benchmark platform. - Zhen Xu 007; Sergio Escalera; Adrien Pavão; Magali Richard; Wei-Wei Tu; Quanming Yao; Huan Zhao 002; Isabelle Guyon (Patterns, 2022)

Retrieving GNN Architecture for Collaborative Filtering. - Fengqi Liang; Huan Zhao 002; Zhenyi Wang; Wei Fang; Chuan Shi 001 (CIKM, 2023)

Node-dependent Semantic Search over Heterogeneous Graph Neural Networks. - Zhenyi Wang; Huan Zhao 002; Fengqi Liang; Chuan Shi 001 (CIKM, 2023)

Automated 3D Pre-Training for Molecular Property Prediction. - Xu Wang; Huan Zhao 002; Wei-Wei Tu; Quanming Yao (KDD, 2023)

Search to Capture Long-range Dependency with Stacking GNNs for Graph Classification. - Lanning Wei; Zhiqiang He 002; Huan Zhao 002; Quanming Yao (WWW, 2023)

Exploring the Feasibility of ChatGPT for Event Extraction. - Jun Gao; Huan Zhao 002; Changlong Yu; Ruifeng Xu 001 (CoRR, 2023)

Unleashing the Power of Graph Learning through LLM-based Autonomous Agents. - Lanning Wei; Zhiqiang He 002; Huan Zhao 002; Quanming Yao (CoRR, 2023)

Benchmarking Large Language Models with Augmented Instructions for Fine-grained Information Extraction. - Jun Gao; Huan Zhao 002; Yice Zhang; Wei Wang 138; Changlong Yu; Ruifeng Xu 001 (CoRR, 2023)

Customizing Graph Neural Network for CAD Assembly Recommendation. - Fengqi Liang; Huan Zhao 002; Yuhan Quan; Wei Fang; Chuan Shi 001 (KDD, 2024)

EventRL: Enhancing Event Extraction with Outcome Supervision for Large Language Models. - Jun Gao; Huan Zhao 002; Wei Wang 138; Changlong Yu; Ruifeng Xu 001 (CoRR, 2024)

Towards Versatile Graph Learning Approach: from the Perspective of Large Language Models. - Lanning Wei; Jun Gao; Huan Zhao 002; Quanming Yao (CoRR, 2024)

Neural Architecture Search for GNN-Based Graph Classification. - Lanning Wei; Huan Zhao 002; Zhiqiang He 002; Quanming Yao (ACM Trans. Inf. Syst., 2024)

Event AutoAugment: Word-level data augmentation for textual event detection. - Jun Gao; Huan Zhao 002; Wei Wang 138; Changlong Yu; Ruifeng Xu 001 (Expert Syst. Appl., 2025)

Meta-path based proximity learning in heterogeneous information networks. - Wenyi Xiao; Huan Zhao 002; Vincent W. Zheng; Yangqiu Song (Data Min. Knowl. Discov., 2025)