Interdisciplinary Discovery of Nanomaterials Based on Convolutional Neural Networks. - Tong Xie; Yuwei Wan; Weijian Li 002; Qingyuan Linghu; Shaozhou Wang; Yalun Cai; Han Liu 001; Chunyu Kit; Clara Grazian; Bram Hoex (CoRR, 2022)

Feature Programming for Multivariate Time Series Prediction. - Alex Daniel Reneau; Jerry Yao-Chieh Hu; Chenwei Xu; Weijian Li 002; Ammar Gilani; Han Liu 001 (CoRR, 2023)

DNABERT-2: Efficient Foundation Model and Benchmark For Multi-Species Genome. - Zhihan Zhou 001; Yanrong Ji; Weijian Li 002; Pratik Dutta; Ramana V. Davuluri; Han Liu 001 (CoRR, 2023)

Multivariate Time Series Forecasting By Graph Attention Networks With Theoretical Guarantees. - Zhi Zhang 012; Weijian Li 002; Han Liu 001 (AISTATS, 2024)

DNABERT-2: Efficient Foundation Model and Benchmark For Multi-Species Genomes. - Zhihan Zhou 001; Yanrong Ji; Weijian Li 002; Pratik Dutta; Ramana V. Davuluri; Han Liu 001 (ICLR, 2024)

STanHop: Sparse Tandem Hopfield Model for Memory-Enhanced Time Series Prediction. - Dennis Wu; Jerry Yao-Chieh Hu; Weijian Li 002; Bo-Yu Chen; Han Liu 001 (ICLR, 2024)

Outlier-Efficient Hopfield Layers for Large Transformer-Based Models. - Jerry Yao-Chieh Hu; Pei-Hsuan Chang; Haozheng Luo; Hong-Yu Chen; Weijian Li 002; Wei-Po Wang; Han Liu 001 (ICML, 2024)

BiSHop: Bi-Directional Cellular Learning for Tabular Data with Generalized Sparse Modern Hopfield Model. - Chenwei Xu; Yu-Chao Huang; Jerry Yao-Chieh Hu; Weijian Li 002; Ammar Gilani; Hsi-Sheng Goan; Han Liu 001 (ICML, 2024)

Outlier-Efficient Hopfield Layers for Large Transformer-Based Models. - Jerry Yao-Chieh Hu; Pei-Hsuan Chang; Robin Luo; Hong-Yu Chen; Weijian Li 002; Wei-Po Wang; Han Liu 001 (CoRR, 2024)

Communication-Efficient Adaptive Batch Size Strategies for Distributed Local Gradient Methods. - Tim Tsz-Kit Lau; Weijian Li 002; Chenwei Xu; Han Liu 001; Mladen Kolar (CoRR, 2024)

Adaptive Batch Size Schedules for Distributed Training of Language Models with Data and Model Parallelism. - Tim Tsz-Kit Lau; Weijian Li 002; Chenwei Xu; Han Liu 001; Mladen Kolar (CPAL, 2025)

Incorporating Gradients to Rules: Towards Lightweight, Adaptive Provenance-based Intrusion Detection. - Lingzhi Wang 002; Xiangmin Shen; Weijian Li 002; Zhenyuan Li; R. Sekar 001; Han Liu 001; Yan Chen 004 (NDSS, 2025)