Hongyan Li

Full Professor, AI, Peking University

Joined

May 2021

Names

Hongyan Li (Preferred)

Emails

****@pku.edu.cn (Confirmed)

Personal Links

Career & Education History

Full Professor

AI, Peking University (pku.edu.cn)

2010 – Present

Advisors, Relations & Conflicts

PhD Advisee

2023 – 2028

PhD Advisee

2022 – 2027

PhD Advisee

2022 – 2026

Expertise

time series analysis

2018 – Present

RNNs

2016 – Present

deep learning

2015 – Present

Publications

DiffuGC: Diffusion Model Can Help Discover Granger Causality from Interventional Time Series
Bo Liu, Hongyan Li, Shenda Hong
- International Conference on Data Mining 2025
- Readers: Everyone
CodeContests+: High-Quality Test Case Generation for Competitive Programming
Zihan Wang, Siyao Liu, Yang Sun, Ming Ding, Hongyan Li
- EMNLP 2025
- Readers: Everyone
Self-Alignment Learning to Improve Myocardial Infarction Detection from Single-Lead ECG
Jiarui Jin, Xiaocheng Fang, Haoyu Wang, Jun Li, Donglin Xie, Che Liu, Hongyan Li, Shenda Hong
- ICLR 2026 Conference Withdrawn Submission
- Readers: Everyone
PPGFlowECG: Latent Rectified Flow with Cross-Modal Encoding for PPG-Guided ECG Generation and Cardiovascular Disease Detection
Xiaocheng Fang, Jiarui Jin, Haoyu Wang, Che Liu, Jieyi Cai, Guangkun Nie, Jun Li, Hongyan Li, Shenda Hong
- ICLR 2026 Conference Withdrawn Submission
- Readers: Everyone
LLM-GC: Temporal-Semantic Disentanglement with Retrieval Augmentation to Activate LLM's Ability for Multimodal Granger Causal Discovery
Bo Liu, Hongyan Li, Shenda Hong
- ICLR 2026 Conference Withdrawn Submission
- Readers: Everyone
Reading Your Heart: Learning ECG Words and Sentences via Pre-training ECG Language Model
Jiarui Jin, Haoyu Wang, Hongyan Li, Jun Li, Jiahui Pan, Shenda Hong
- ICLR 2025 Poster
- Readers: Everyone
DiffuSETS: 12-lead ECG Generation Conditioned on Clinical Text Reports and Patient-Specific Information
Jiabo Chen, Yongfan Lai, Deyun Zhang, Yue Wang, Shijia Geng, Hongyan Li, Shenda Hong
- KDD-AIDSH 2024 Poster
- Readers: Everyone
Retrieval-Augmented Diffusion Models for Time Series Forecasting
Jingwei Liu, Ling Yang, Hongyan Li, Shenda Hong
- NeurIPS 2024 poster
- Readers: Everyone
MetaTST: Essential Transformer Components for Time Series Analysis
Baofeng Zhang, Shenda Hong, Chenxi Sun, Hongyan Li
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
TEST: Text Prototype Aligned Embedding to Activate LLM's Ability for Time Series
Chenxi Sun, Hongyan Li, Yaliang Li, Shenda Hong
- ICLR 2024 poster
- Readers: Everyone

View all 11 publications

Co-Authors

View all 27 co-authors