I am a Tsinghua University alumnus, where I earned my Master’s degree in Electronic Engineering in 2005, under the mentorship of Professor Ding Xiaoqing. My research centered on image processing and pattern recognition, laying a strong foundation for my ensuing career in artificial intelligence.

My professional journey has been driven by an unwavering passion for utilizing AI to solve complex problems across various domains. I find immense satisfaction in creating innovative solutions and pushing the boundaries of technology.

Post-graduation, I have had the privilege of contributing to numerous startups and renowned internet companies. My expertise spans a broad spectrum of AI applications, including computer vision, data mining, computational advertising, search algorithms, recommendation systems, intelligent marketing, payment risk control, conversational bots, ride-sharing dispatch systems, intelligent pricing strategies, multimodal content comprehension, and advancements in large language models.

Career

• MeiTuan (2016 - Present)
  • DianPing Division (2023 - Present)
    • Head of Content Intelligence: Content Search、Content Understanding、Exploration of practical applications of large language models
  • Ride-Hailing Business Division (2021 - 2023)
    • Head of Trading Strategy: Ride-Hailing Dispatch、Driver Scheduling、Intelligent Subsidy Pricing、User Growth
    • Technical Committee Member
  • Financial Division (2017 - 2021)
    • Algorithm Researcher：Intelligent marketing, payment risk control, and intelligent conversational robots.
    • Technical Committee Member
  • Hotel and Tourism Division（2016 - 2017）
    • Senior Algorithm Expert：Search ranking and recommendation work for the hotel and tourism business.
• NetEase Youdao (2011 - 2016)
  • Senior Algorithm Engineer：Optimization of strategies related to user interest mining, e-commerce advertising, and NetEase email effect advertising.
  • Technical Committee Member
• Startup company (2008 - 2011)
  • Co-founder & CTO：Providing data mining services for state-owned enterprise.
• Startup company (2005 - 2008)
  • Project Manager：Develop an automatic defect detection system for industrial products.
    

Competitions

• ACM KDD CUP 2015: 1st place
• ACM KDD CUP 2017: 1st place
• ACM KDD CUP 2024(OAG-Challenge：WhoIsWho-IND Task): 1st place（Team Coach）
• ACM KDD CUP 2024(OAG-Challenge：PST Task): 1st place（Team Coach）
• ACM KDD CUP 2024(OAG-Challenge：AQA Task): 1st place（Team Coach）
• ACM KDD CUP 2025(CRAG-MM Challenge：Multi-Turn QA Task): 2nd place
• ACM RecSys Challenge 2015: 3rd place
• ACM RecSys Challenge 2019: 3rd place
• ACM RecSys Challenge 2024: 2nd place
• ACM WSDM CUP 2020: 1st place
• Kaggle Competitions:
  • Springleaf Marketing Response Competition (2015): 1st place
  • Outbrain Click Prediction Competition (2017): 1st place
  • Corporación Favorita Grocery Sales Forecasting Competition (2018): 1st place
  • Click-Through Rate Prediction Competition (2015): 3rd place
  • Quick, Draw! Doodle Recognition Challenge (2018): 3rd place
• Ranked 3rd on global Kaggle points leaderboard (2018)

Publications

Personalized image generation with large multimodal models, WWW 2025
Yiyan Xu, Wenjie Wang, Yang Zhang, Biao Tang, Peng Yan, Fuli Feng, Xiangnan He

Self-evolutionary large language models through uncertainty-enhanced preference optimization, AAAI 2025
J Wang, Y Zhou, X Zhang, M Bao, P Yan

Large Scale Hierarchical User Interest Modeling for Click-through Rate Prediction, RecSys 2024
T Xue, Z Lin, Z Zhang, L Guo, H Chen, M Bao, P Yan

Passenger engagement dynamics in ride-hailing services: A heterogeneous hidden Markov approach, Transportation Research Part E 2023
X Chen, S Bai, Y Wei, Y Zhao, P Yan, H Jiang

Practical counterfactual policy learning for Top-K recommendations, KDD 2022
Y Liu, JN Yen, B Yuan, R Shi, P Yan, CJ Lin

Modeling the sequential dependence among audience multi-step conversions with multi-task learning in targeted display advertising, KDD 2021
D Xi, Z Chen, P Yan, Y Zhang, Y Zhu, F Zhuang, Y Chen

Session-based item recommendation with pairwise features, RecSys 2019
Z Wang, Y Gao, H Chen, P Yan

E-commerce item recommendation based on field-aware factorization machine, RecSys 2015
P Yan, X Zhou, Y Duan

Also on Google Scholar