collaborators

6 papers

cs.LG2026

GeoCert: Certified Geometric AI for Reliable Forecasting

Regina Zhang, Zongru Li, Honggang Wen +4

Forecasting systems in science must be accurate, physically consistent, and certifiably reliable. Most existing models address prediction, constraint enforcement, and verification…

cs.LG2026

A Systematic Survey and Benchmark of Deep Learning for Molecular Property Prediction in the Foundation Model Era

Zongru Li, Xingsheng Chen, Honggang Wen +8

Molecular property prediction integrates quantum chemistry, cheminformatics, and deep learning to connect molecular structure with physicochemical and biological behavior. This sur…

cs.LG2025

AutoHFormer: Efficient Hierarchical Autoregressive Transformer for Time Series Prediction

Qianru Zhang, Honggang Wen, Ming Li +4

Time series forecasting requires architectures that simultaneously achieve three competing objectives: (1) strict temporal causality for reliable predictions, (2) sub-quadratic com…

cs.IR2025

HMamba: Hyperbolic Mamba for Sequential Recommendation

Qianru Zhang, Honggang Wen, Wei Yuan +4

Sequential recommendation systems have become a cornerstone of personalized services, adept at modeling the temporal evolution of user preferences by capturing dynamic interaction…

cs.IR2025

M2Rec: Multi-scale Mamba for Efficient Sequential Recommendation

Qianru Zhang, Liang Qu, Honggang Wen +4

Sequential recommendation systems aim to predict users' next preferences based on their interaction histories, but existing approaches face critical limitations in efficiency and m…

cs.CE2025

Time Series Analysis in Frequency Domain: A Survey of Open Challenges, Opportunities and Benchmarks

Qianru Zhang, Yuting Sun, Honggang Wen +6

Frequency-domain analysis has emerged as a powerful paradigm for time series analysis, offering unique advantages over traditional time-domain approaches while introducing new theo…