Huan Zhao

Orcid: 0000-0002-0320-8718

Affiliations:
  • 4Paradigm, Inc., Beijing, China
  • Hong Kong University of Science and Technology, Department of Computer Science and Engineering, Hong Kong (PhD 2019)


According to our database1, Huan Zhao authored at least 49 papers between 2014 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Legend:

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Links

Online presence:

On csauthors.net:

Bibliography

2025
Meta-path based proximity learning in heterogeneous information networks.
Data Min. Knowl. Discov., January, 2025

2024
Neural Architecture Search for GNN-Based Graph Classification.
ACM Trans. Inf. Syst., January, 2024

Towards Versatile Graph Learning Approach: from the Perspective of Large Language Models.
CoRR, 2024

EventRL: Enhancing Event Extraction with Outcome Supervision for Large Language Models.
CoRR, 2024

Customizing Graph Neural Network for CAD Assembly Recommendation.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

2023
Benchmarking Large Language Models with Augmented Instructions for Fine-grained Information Extraction.
CoRR, 2023

Unleashing the Power of Graph Learning through LLM-based Autonomous Agents.
CoRR, 2023

Exploring the Feasibility of ChatGPT for Event Extraction.
CoRR, 2023

Search to Capture Long-range Dependency with Stacking GNNs for Graph Classification.
Proceedings of the ACM Web Conference 2023, 2023

Automated 3D Pre-Training for Molecular Property Prediction.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Node-dependent Semantic Search over Heterogeneous Graph Neural Networks.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Retrieving GNN Architecture for Collaborative Filtering.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022
Codabench: Flexible, easy-to-use, and reproducible meta-benchmark platform.
Patterns, 2022

Bridging the Gap of AutoGraph Between Academia and Industry: Analyzing AutoGraph Challenge at KDD Cup 2020.
Frontiers Artif. Intell., 2022

Enhancing Intra-class Information Extraction for Heterophilous Graphs: One Neural Architecture Search Approach.
CoRR, 2022

Graph Property Prediction on Open Graph Benchmark: A Winning Solution by Graph Neural Architecture Search.
CoRR, 2022

Bridging the Gap of AutoGraph between Academia and Industry: Analysing AutoGraph Challenge at KDD Cup 2020.
CoRR, 2022

Graph Neural Networks for Double-Strand DNA Breaks Prediction.
CoRR, 2022

Designing the Topology of Graph Neural Networks: A Novel Feature Fusion Perspective.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Profiling the Design Space for Graph Neural Networks based Collaborative Filtering.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Space4HGNN: A Novel, Modularized and Reproducible Platform to Evaluate Heterogeneous Graph Neural Network.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Translation-Based Implicit Annotation Projection for Zero-Shot Cross-Lingual Event Argument Extraction.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Mask-then-Fill: A Flexible and Effective Data Augmentation Framework for Event Extraction.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Improving Event Representation via Simultaneous Weakly Supervised Contrastive Learning and Clustering.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
Ranking Users in Social Networks with Motif-Based PageRank.
IEEE Trans. Knowl. Data Eng., 2021

Side Information Fusion for Recommender Systems over Heterogeneous Information Network.
ACM Trans. Knowl. Discov. Data, 2021

Social explorative attention based recommendation for content distribution platforms.
Data Min. Knowl. Discov., 2021

Learn Layer-wise Connections in Graph Neural Networks.
CoRR, 2021

Codabench: Flexible, Easy-to-Use and Reproducible Benchmarking for Everyone.
CoRR, 2021

TabGNN: Multiplex Graph Neural Network for Tabular Data Prediction.
CoRR, 2021

DiffMG: Differentiable Meta Graph Search for Heterogeneous Graph Neural Networks.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Search to aggregate neighborhood for graph neural network.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

Neural PathSim for Inductive Similarity Search in Heterogeneous Information Networks.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Pooling Architecture Search for Graph Classification.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Multi-Relational Graph based Heterogeneous Multi-Task Learning in Community Question Answering.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020
Vertex-reinforced Random Walk for Network Embedding.
Proceedings of the 2020 SIAM International Conference on Data Mining, 2020

Billion-scale Recommendation with Heterogeneous Side Information at Taobao.
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

Simplifying Architecture Search for Graph Neural Network.
Proceedings of the CIKM 2020 Workshops co-located with 29th ACM International Conference on Information and Knowledge Management (CIKM 2020), 2020

2019
Beyond Personalization: Social Content Recommendation for Creator Equality and Consumer Satisfaction.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Motif Enhanced Recommendation over Heterogeneous Information Network.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Multi-Interest Network with Dynamic Routing for Recommendation at Tmall.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018
Learning with Heterogeneous Side Information Fusion for Recommender Systems.
CoRR, 2018

Billion-scale Commodity Embedding for E-commerce Recommendation in Alibaba.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Ranking Users in Social Networks With Higher-Order Structures.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Social Recommendation With Local Low Rank Matrix Approximation.
CoRR, 2017

Meta-Graph Based Recommendation Fusion over Heterogeneous Information Networks.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Collaborative Filtering with Social Local Models.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

2014
Normalization of Chinese Informal Medical Terms Based on Multi-field Indexing.
Proceedings of the Natural Language Processing and Chinese Computing, 2014

Cannabis_TREATS_cancer: Incorporating Fine-Grained Ontological Relations in Medical Document Ranking.
Proceedings of the Natural Language Processing and Chinese Computing, 2014


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