I am currently a third-year Master’s student in Artificial Intelligence at Tsinghua University, under the supervision of Prof. Xiu Li and Huifeng Guo. My research interests lie in the areas of Graph Neural Network, Recommender System, Machine Learning, and Multi-task Learning. Currently, I am mainly working on data mining, information retrieval and recommender systems.

My recent work topics include but are not limited to:

• Recommendation algorithms based on Graph Neural Network
• Multi-behavior/Multi-scenario/Multi-task/Multi-modal recommendation algorithm
• Sequential Recommendation
• Click Trough Rate Estimation

📝 Selected Publications

$*$ – – Co-first author, $\dagger$ – – Corresponding author

CIKM 2023

Parallel Knowledge Enhancement based Framework for Multi-behavior Recommendation.

Chang Meng^*, Chenhao Zhai^*, Yu Yang, Hengyu Zhang, Xiu Li^$\dagger$

Proceedings of the 32nd ACM International Conference on Information & Knowledge Management, CIKM’23, Long Paper, Oral, CCF-B

Paper Code Video

TOIS 2023

Coarse-to-Fine Knowledge-Enhanced Multi-Interest Learning Framework for Multi-Behavior Recommendation.

Chang Meng^*, Ziqi Zhao^*, Wei Guo, Yingxue Zhang, Haolun Wu, Chen Gao, Dong Li, Xiu Li^$\dagger$, Ruiming Tang^$\dagger$

ACM Transactions on Information Systems, TOIS’23, Research-Article, CCF-A

Paper Code

KDD 2023

Hierarchical Projection Enhanced Multi-behavior Recommendation.

Chang Meng^*, Hengyu Zhang^*, Wei Guo, Huifeng Guo, Haotian Liu, Yingxue Zhang, Hongkun Zheng, Ruiming Tang^$\dagger$, Xiu Li^$\dagger$, Rui Zhang

The 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD’23, Long Paper, Oral, CCF-A

Paper Code Video

WWW 2023

Compressed Interaction Graph based Framework for Multi-behavior Recommendation.

(first student author, supervised by Wei Guo)

Wei Guo^*, Chang Meng^*, Enming Yuan, Zhicheng He, Huifeng Guo, Yingxue Zhang, Bo Chen, Yaochen Hu, Ruiming Tang^$\dagger$, Xiu Li^$\dagger$, Rui Zhang

Proceedings of the ACM Web Conference 2023, WWW’23, Long Paper, Oral, CCF-A

Paper Code Video

Patent: CN116881578A, CN116523587A, CN116186382A

🎖 Honors and Awards

• 2023 National Scholarship of Tsinghua University
• 2022 Second-class Scholarship of Tsinghua University
• 2021 Graduation Gold List - Personality Development Star (the only one in the university)
• 2021 Outstanding graduates
• 2019 National Scholarship
• 2018 National Scholarship
• 2018 Provincial merit students

🏆 Competition Prizes

• 2021 Rank 10/177 of Megvii AI intelligent transportation open source track
• 2019 National Finals Special Prize of “Siemens Cup” China Intelligent Manufacturing Contest
• 2019 Provincial Special Prize of “Siemens Cup” China Intelligent Manufacturing Contest
• 2019 Second Prize of National College Students Mathematical Contest in Modeling (CUMCM)
• 2018 First Prize of National Mathematics Competition for College students
• 2015 Gold Medal of China Southeast Mathematics Olympiad (CSMO)

📖 Educations

• 2021.09 – Present, Master, Artificial Intelligence, Tsinghua University, GPA 3.92/4.00, ranking 10/96.
• 2017.09 – 2021.06, Bachelor, Automation, Harbin Engineering University, GPA 93.46/100, ranking 1/356.

💻 Internships

• 2023.06 – 2023.08, Recommendation Algorithm Intern (Summer Intern), Tencent, WeiXin Group, Guangzhou, China

  Topic: Development of CTR algorithm for WeChat

  Projects: Search & Recommendation

• 2023.04 – 2023.06, Search Algorithm Intern (Byteintern), ByteDance, TikTok, Shanghai, China

  Topic: Development of e-commerce CTR/CVR algorithm for Tiktok

  Projects: Search & Recommendation

• 2022.12 – 2023.03, Research Intern, Alibaba Group, Aliyun, Hangzhou, China

  Topic: Research on cloud platform recommendation algorithm

  Projects: Graph Neural Network & Recommendation

• 2021.12 – 2022.12, Research Intern, Huawei, Noah’s Ark Lab, Shenzhen, China

  Topic: Research on recommendation algorithm based on user multi-behavior modeling

  Projects: Graph Neural Network & Multi-behavior Recommendation