Hao Wang is currently an Associate Professor at School of Computer Science and Technology, University of Science and Technology of China, also a member of Anhui Province Key Laboratory of Big Data Analysis and Application (BDAA) led by Prof. Enhong Chen and Key Laboratory of Cognitive Intelligence. My research interests include Machine Learning, Data Mining, and Deep Learning, expecially focus on: Data-centric AI, Personalized Recommendation Systems, Large Language Model, and also other relevant applications in data mining.

Main Research:

I have always been looking for highly self-motivated undergraduate and graduate students. We have a lot of research questions that need to be explored together. If you're interested, feel free to contact me anytime.

• April. 2025 ~ Present,  Associate Professor,  School of Computer Science and Technology,  University of Science and Technology of China (USTC)
• Jan. 2022 ~ March. 2025,  Associate Researcher,  School of Computer Science and Technology,  University of Science and Technology of China (USTC)
• Sep. 2015 ~ Dec. 2021,  Ph.D,  School of Computer Science and Technology,  University of Science and Technology of China (USTC),  Advisor: Prof. Enhong Chen
• Jan. 2020 ~ Jan. 2021,  Visiting Student,  Department of Computer Science,  University of Illinois Urbana-Champaign (UIUC),  Advisor: Prof. Hanghang Tong
• Sep. 2011 ~ Jul. 2015,  B.S.,  School of Computer Science and Information Engineering,  HeFei University of Technology (HFUT)

• [Survey]: We released a survey "Scaling New Frontiers: Insights into Large Recommendation Models" for Scaling Generative Large Recommendation Model, If you are interested or have any problems, please feel free to contact us and refer to our Survey Paper and Github Project to help continuously improve this paper.
• [WWW2025 Tutorial: Generative Large Language Model]:We will present and discuss recent trends on large generative recommendation model. The tutorial on “Generative Large Recommendation Models: Emerging Trends in LLMs for Recommendation” will be presented at WWW'2025 conference, aiming to offer an in-depth exploration of this evolving research topic. [PDF]
• [02.2025] I will server as the PC members of ICML'25, SIGIR'25, KDD'25(Research&ADS)，ACL ARR and NeurlPS'25.
• [01.2025] One paper was accepted by DASFAA'2025. Congratulations to Kefan and all co-authors!
• [01.2025] Three papers and one tutorial were accepted by WWW'2025. Congratulations to Jiaqing, Rui Zhou, Yufei, Luankang and all co-authors!
• [10.2024] One paper was accepted by KDD'2025. Congratulations to Xiang Xu and all co-authors!