Personal Profile

I am an associatee professor in School of Computer Science and Technology of Huazhong University of Science and Technology. I obtained my Ph.D (supervisor: Prof. Dr. Xiaoming Fu) in Computer Science from University of Goettingen, Germany with the highest distinction "Summa Cum Laude" in 2016. Before that, I got my M.Sc in Electronics Engineering from Tsinghua Univeristy in 2012. My research interests include social network analysis , social computing, graph neural networks, and interdisciplinary studies based on big data.

I have been a visiting student at University of Chicago (working with Ronald Burt), Tsinghua University (working with Jie Tang), Nanjing University and Fudan University. During my PhD, I have also been an intern at NEC and SAP Germany.

Academic Degrees

2016.10 ~ 2017.5

University of Goettingen   postgraduate(postdoctoral fellow)

2012.10 ~ 2016.9

University of Goettingen Doctoral Degree in Engineering  -  Postgraduate (Doctoral)

2009.9 ~ 2012.6

Tsinghua University   Master’s Degree in Engineering  -  Postgraduate (Master)

2005.9 ~ 2009.7

Nanjing University of Posts and Telecommunications   Bachelor’s Degree in Engineering - undergraduate(Bachelor)

Professional Experience

2017~Now 

Huazhong University of Science and Technology

Courses Taught

[1] C Programming Language

Awards and Honors

[1] 2021  ACM-Wuhan Rising Star Award

[2] 2020  The second prize of Teaching Competition of HUST

[3] 2021  The second Prize of Teaching Quality Award of HUST

Selected Projects Funded

[1] Representation Learning of Heterogeneous Temporal Networks Based on Social Influence (NSFC Project)

[2] Research on Dynamic Evolution Mechanism of Network Based on Triangular Structure (NSFC Youth Project) (Completed)

[3] Evolution Mechanism of Triangle Structure in Symbolic Social Network (Hubei Youth Foundation), Hubei Provincial Foundation (Youth) (Completed)

Selected Publications

[1] Xiran Song, Jianxun Lian, Hong Huang*, Mingqi Wu, Hai Jin, Xing Xie. 2022.Friend Recommendations with Self-Rescaling Graph Neural Networks. In Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2022), August 14–18, 2022, Washington, DC, USA. ACM, New York, NY, USA, 10 pages. https://doi.org/10.1145/3534678.3539192.

[2] Zihan Luo, Jianxun Lian, Hong Huang*, Hai Jin, Xing Xie. 2022. Ada-GNN:Adapting to Local Patterns for Improving Graph Neural Networks∗. In Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining (WSDM 2022), February 21–25, 2022, Tempe, AZ, USA. ACM, NewYork, NY, USA, 10 pages. https://doi.org/10.1145/3488560.3498460.

[3] Yu Song, Shuai Sun, Jianxun Lian, Hong Huang*, Yu Li, Hai Jin, Xing Xie.2022. Show Me the Whole World: Towards Entire Item Space Exploration for Interactive Personalized Recommendations. In Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining (WSDM 2022),February 21–25, 2022, Tempe, AZ, USA. ACM, New York, NY, USA, 10 pages.

[4] https://doi.org/10.1145/3488560.3498459.

[5] Hong Huang, Ruize Shi, Wei Zhou, Xiao Wang, Hai Jin, Xiaoming Fu. Temporal Heterogeneous Information Network Embedding. IJCAI 2021: 1470-1476

[6] Hong Huang, Yu Song, Yao Wu, Jia Shi, Xia Xie, Hai Jin. Multitask Representation Learning With Multiview Graph Convolutional Networks. IEEE Transactions on Neural Networks and Learning Systems (TNNLS 2022). 33(3): 983-995 (2022)

[7] Hong Huang, Yu Song, Fanghua Ye, Xing Xie, Xuanhua Shi, Hai Jin. Multi-Stage Network Embedding for Exploring Heterogeneous Edges. ACM Transactions on Knowledge Discovery from Data (TKDD 2021). 15(1): 5:1-5:27 (2021)

[8] Zhexue Chen, Hong Huang*, Bang Liu, Xuanhua Shi, Hai Jin. Semantic and Syntactic Enhanced Aspect Sentiment Triplet Extraction. ACL/IJCNLP (Findings) 2021: 1474-1483

[9] Hong Huang, Zixuan Fang, Xiao Wang, Youshan Miao, Hai Jin. Motif-Preserving Temporal Network Embedding. IJCAI 2020: 1237-1243

[10] Hong Huang, Bo Zhao, Hao Zhao, Zhou Zhuang, Zhenxuan Wang, Xiaoming Yao, Xinggang Wang, Hai Jin,Xiaoming Fu.A Cross-Platform Consumer Behavior Analysis of Large-Scale Mobile Shopping Data.Proceedings of the 2018 World Wide Web Conference (WWW 2018),2018,1785-1794 (CCF A)

[11] Hong Huang, Yuxiao Dong, Jie Tang, Nitesh Chawla, Xiaoming Fu.Will Triadic Closure Strengthen Ties in Social Networks?.ACM Transactions on Knowledge Discovery from Data (TKDD),2018,(CCF B)

[12] Hong Huang,Hong Huang , Jie Tang, Lu Liu, JarDer Luo,Xiaoming Fu.Triadic Closure Pattern Analysis and Prediction in Social Networks.IEEE Transactions on Knowledge and Data Engineering (TKDE),2015,3374-3389 (CCF A)

[13] Hong Huang, Jie Tang, Sen Wu, Lu Liu,Xiaoming Fu.Mining Triadic Closure Patterns in Social Networks.Proceedings of the 23rd International Conference on World Wide Web (WWW 2014),2014,(CCF A)

Professional Affiliations

[1] Frontiers of Computer Science  Probationary young member of the editorial committee

[2] Local chair of Sino-German Social Computing Symposium

[3] PC of KDD,AAAI, IJCAI, WSDM, etc.

Research Group

Enrollment Information

At present, there are graduate students under my supervision who have won State Scholarship and Huawei Scholarship for graduate students every year. All graduated students are employed in Huawei, Baidu, Alibaba, Meituan, Byte and other well-known Internet companies, as algorithm engineers.The internship undergraduate in my group  has been recruited by Eidgenössische Technische Hochschule Zürich (ETH).

I am always looking for highly-motivated students including undergraduate students to work together on data mining, graph neural network, and social computing. Please email me with your CV.

Personal Homepage

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