I am a senior AI architect and engineering leader with over 20 years of experience driving large-scale AI applications across foundation models, complex trading systems, search/recommendation, and commercial monetization. Currently, I serve as an Architect in Meituan’s Foundation Model Team, shaping the development and algorithmic strategies for next-generation AI.
I earned my Master’s degree in Electronic Engineering from Tsinghua University in 2005 under the mentorship of Prof. Ding Xiaoqing, specializing in image processing and pattern recognition.
Throughout my career—from acting as CTO for startups to serving as a core Technical Committee Member at both NetEase Youdao and Meituan—I have spearheaded core AI systems that power complex business ecosystems. My domain expertise directly reflects my professional journey:
Foundation Models & Content Intelligence: Driving foundation model development, algorithm strategies, and the practical application of LLMs, backed by extensive leadership in content search and understanding (Meituan Foundation Model & DianPing).
Decision AI & Trading Strategy: Architecting complex trading strategies for large-scale ride-hailing platforms, including intelligent dispatch, driver scheduling, dynamic subsidy pricing, and user growth (Meituan Ride-Hailing).
Search, Recommendation & Data Mining: Building search ranking and personalized recommendation engines for local-life services, alongside deep expertise in user interest mining and enterprise data services (Meituan Hotel/Tourism, NetEase Youdao & Startup).
Monetization, Risk Control & Applied AI: Innovating in computational advertising, intelligent marketing, and payment risk control, with early technical roots spanning intelligent conversational bots and industrial automated defect detection (NetEase Youdao, Meituan Financial & Startup).
TrendFact: A Benchmark Towards Hotspot Perception in Automatic Fact-Checking, ACL 2026
Xiaocheng Zhang, Xi Wang, Yifei Lu, Jianing Wang, Zhuangzhuang Ye, Mengjiao Bao, Peng Yan, Xiaohong Su
ReList: A Multi-objective Reasoning Framework for Diversified Listwise Query Recommendation, ACL 2026
Shuxian Bi, Chenxu Wang, Wenjie Wang, Yueqi Mou, Fuli Feng, Biao Tang, Peng Yan
Beyond Matching: Category-Guided Latent Intent Reasoning for Generative Retrieval in E-Commerce, arXiv 2026
Fuwei Zhang, Xiaoyu Liu, Jiajie Jin, Jiale Mao, Wei Chen, Dongbo Xi, Yifan Yang, Peng Yan, Zichao Hao, Zhao Zhang, Fuzhen Zhuang
Multi-Aspect Cross-modal Quantization for Generative Recommendation, AAAI 2026
Fuwei Zhang, Xiaoyu Liu, Dongbo Xi, Jishen Yin, Huan Chen, Peng Yan, Fuzhen Zhuang, Zhao Zhang
What Makes Reasoning Invalid: Echo Reflection Mitigation for Large Language Models, arXiv 2025
Chen He, Xun Jiang, Lei Wang, Hao Yang, Chong Peng, Peng Yan, Fumin Shen, Xing Xu
Geometric Gradient Divergence Modulation for Imbalanced Multimodal Learning, ACM MM 2025
Disen Hu, Xun Jiang, Zhe Sun, Hao Yang, Chong Peng, Peng Yan, Heng Tao Shen, Xing Xu
Solution for Meta KDD Cup’25: A Comprehensive Three-Step Framework for Vision Question Answering, KDD Cup 2025 Workshop
Zijian Zhang, Xiaocheng Zhang, Yang Zhou, Zhimin Lin, Peng Yan
Consistency-Aware Online Multi-Objective Alignment for Related Search Query Generation, ACL 2025
Shuxian Bi, Chongming Gao, Wenjie Wang, Yueqi Mou, Chenxu Wang, Biao Tang, Peng Yan, Fuli Feng
From Observation to Understanding: Front-Door Adjustments with Uncertainty Calibration for Enhancing Egocentric Reasoning in LVLMs, ACL 2025
Shenshen Li, Wenxin Meng, Lei Wang, Hao Yang, Chong Peng, Peng Yan, Fumin Shen, Jingkuan Song, Heng Tao Shen, Xing Xu
Causal Intervention with Active Learning for Large Vision-Language Models in Egocentric Contexts, ICME 2025
Wenxin Meng, Shenshen Li, Lei Wang, Hao Yang, Chong Peng, Peng Yan, Xing Xu
Social Optimum Assisted Gradient Modulation for Imbalanced Multimodal Learning, ICME 2025
Disen Hu, Xun Jiang, Zhe Sun, Hao Yang, Chong Peng, Peng Yan, Xing Xu
Composed Query-Based Event Retrieval in Video Corpus with Multimodal Episodic Perceptron, ICMR 2025
Fan Ni, Xun Jiang, Hao Yang, Chong Peng, Peng Yan, Zheng Wang, Fumin Shen, Xing Xu
Truth in the Few: High-Value Data Selection for Efficient Multi-Modal Reasoning, arXiv 2025
Shenshen Li, Kaiyuan Deng, Lei Wang, Hao Yang, Chong Peng, Peng Yan, Fumin Shen, Heng Tao Shen, Xing Xu
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
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