About me

I’m Hao Zhang, or 章浩 (legal name). I graduated from USTC (2022: Bachelor of Engineering in CS, 2025: Master of Engineering in Data Science), and now working at ByteDance. My research and work focus on Large Ranking Models, LLM4Rec.

Educations

• University of Science and Technology of China, School of Artificial Intelligence and Data Science, Master of Engineering in Data Science (2022~2025)
• University of Science and Technology of China, School of Gifted Young, Bachelor of Engineering in Computer Science (2018 ~ 2022)

Publications

• MixFormer: Co-Scaling Up Dense and Sequence in Industrial Recommenders.
  Xu Huang*, Hao Zhang*, Zhifang Fan*, Yunwen Huang*, Zhuoxing Wei, Zheng Chai, Jinan Ni, Yuchao Zheng, Qiwei Chen
  Accepted In KDD 2026.
• Towards automatic sampling of user behaviors for sequential recommender systems.
  Hao Zhang, Mingyue Cheng*, Zhiding Liu and Junzhe Jiang
  Accepted In IJCAI 2025.
• Towards personalized evaluation of large language models with an anonymous crowd-sourcing platform
  Mingyue Cheng, Hao Zhang, Jiqian Yang, Qi Liu, Li Li, Xin Huang, Liwei Song, Zhi Li, Zhenya Huang, Enhong Chen
  In WWW 2024.
• Learning the Dynamics in Sequential Recommendation by Exploiting Real-time Information
  Rujiao Zhang, Hao Zhang, Yucong Luo, Zhiding Liu, Mingyue Cheng, Qi Liu, Enhong Chen
  In CIKM 2024.

Work Experiences

• Tencent, Wexin Group (WXG), Wechat Video Channel Search Algorithm Engineer (2024.6 ~ 2024.10, Beijing)
• ByteDance, Recommendation (2025.6 ~ now, Shanghai)

Selected Awards

• 3rd Place of Overall 3 Tasks in Amazon KDD Cup 2023

• Huawei Scholarship, 2024

• Outstanding Graduates of USTC, 2022

• First Prize in China Undergraduate Mathematical Contest in Modelling (CUMCM), 2021

• First Prize in China Undergraduate Mathematical Contest in Modelling (CUMCM), 2021