Huan Zhao

May. 2024: Our paper on Customizing Graph Neural Network for CAD Assembly Recommendation is accepted in KDD 2024.
May. 2023: Our paper on Automated 3D Pre-training for Molecular Prediction is accepted in KDD 2023.
Apr. 2023: I was invited to give a talk on AutoGraph at HKUST CSE Special Seminar .
Mar. 2023: Our paper on AutoGraph for DNA double-strand breaks is accepted in Genome Biology.
Jan. 2023: Our paper on AutoGraph (Long-range dependency for Graph Classification) is accepted in WebConf 2023.
Jan. 2023: Our journal paper on AutoGraph (Pooling for Graph Classification) extending PAS is accepted in TOIS 2023.

Currently I work as a senior researcher in 4Paradigm Inc. from July 2019. Prior to that, I worked in Alibaba during March to July in 2019. I obtained my Ph.D. degree in Jan. 2019 in Department of Computer Science and Engineering, Hong Kong University of Science and Technology (HKUST). Before that, I worked as a research assistant in Tsinghua University from July 2013 to August 2014. I worked as a data engineer in Bytedance Inc. from July 2012 to June 2013. I received my B.E. degree from BUPT in 2012.

Automated 3D Pre-Training for Molecular Property Prediction. SIGKDD, 2023.

Xu Wang, Huan Zhao, Weiwei Tu, Quanming Yao.

[paper] [code]
Search to Capture Long-range Dependency with Stacking GNNs for Graph Classification. WebConf, 2023.

*Lanning Wei, *Zhiqiang He, Huan Zhao, Quanming Yao.

[paper] [code]
Pooling Architecture Search for GNN-based Graph Classification. TOIS, 2023.

*Lanning Wei, *Huan Zhao, Zhiqiang He, Quanming Yao.

[paper] [code]
Designing the Topology of Graph Neural Networks: A Novel Feature Fusion Perspective. WebConf, 2022.

Lanning Wei, Huan Zhao, Zhiqiang He.

[paper] [code]
Profiling the Design Space for Graph Neural Networks based Collaborative Filtering. WSDM, 2022.

*Zhenyi Wang, *Huan Zhao, Chuan Shi.

[paper] [slides] [code]
Neural PathSim for Inductive Similarity Search in Heterogeneous Information Networks. CIKM, 2021.

Wenyi Xiao, Huan Zhao, Vincent W. Zheng, Yangqiu Song.

[paper] [code]
Pooling Architecture Search for Graph Classification. CIKM, 2021.

*Lanning Wei, *Huan Zhao, Quanming Yao, Zhiqiang He.

[paper] [code]
TabGNN: Multiplex Graph Neural Network for Tabular Data Prediction. DLP-KDD, 2021.

*Xiawei Guo, *Yuhan Quan, Huan Zhao, Quanming Yao, Yong Li, Weiwei, Tu.

[paper] [code]
DiffMG: Differentiable Meta Graph Search for Heterogeneous Graph Neural Networks. SIGKDD, 2021.

Yuhui Ding, Quanming Yao, Huan Zhao, Tong Zhang.

[paper] [code]
Search to aggregate neighborhood for graph neural network. ICDE, 2021.

Huan Zhao, Quanming Yao, Weiwei Tu.

[paper] [slides] [code]
Simplifying architecture search for graph neural network. CIKM-CSSA, 2020.

Huan Zhao, Lanning Wei, Quanming Yao.

[paper] [slides] [code]
Ranking Users in Social Networks with Motif-based PageRank. TKDE, 2019.

*Huan Zhao, *Xiaogang Xu, Yangqiu Song, Dik Lun Lee, Zhao Chen, Han Gao.

[paper] [code]
Behavior Sequence Transformer for E-commerce Recommendation in Alibaba. DLP-KDD, 2019.

*Qiwei Chen, *Huan Zhao, Wei Li, Pipei Huang, Wenwu Ou.
[paper] [poster]
Beyond Personalization: Social Content Recommendation for Creator Equality and Consumer Satisfaction. SIGKDD, 2019.

Wenyi Xiao, Huan Zhao, Haojie Pan, Yangqiu Song, Vincent W. Zheng, Qiang Yang.
[paper] [poster] [code]
Billion-scale Commodity Embedding for E-commerce Recommendation in Alibaba. SIGKDD, 2018.

Jizhe Wang, Pipei Huang, Huan Zhao, Zhibo Zhang, Binqiang Zhao, Dik Lun Lee.

[paper] [poster]
Ranking Users in Social Networks with Higher-Order Structures. AAAI, 2018.

*Huan Zhao, *Xiaogang Xu, Yangqiu Song, Dik Lun Lee, Zhao Chen, Han Gao.

[paper] [poster] [code]
Meta-Graph Based Recommendation Fusion over Heterogeneous Information Networks. SIGKDD, 2017.

Huan Zhao, Quanming Yao, Jianda Li, Yangqiu Song, Dik Lun Lee.

[paper] [slides] [code]

Huan Zhao(赵欢)

Senior Researcher@4Paradigm

zhaohuan AT 4paradigm DOT com

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