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 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

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

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

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

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

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

Also on Google Scholar