Weijian Li

According to our database, Weijian Li authored at least 12 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Incorporating Gradients to Rules: Towards Lightweight, Adaptive Provenance-based Intrusion Detection.

Lingzhi Wang, Xiangmin Shen, Weijian Li, Zhenyuan Li, R. Sekar, Han Liu, Yan Chen

Proceedings of the 32nd Annual Network and Distributed System Security Symposium, 2025

Adaptive Batch Size Schedules for Distributed Training of Language Models with Data and Model Parallelism.

Tim Tsz-Kit Lau, Weijian Li, Chenwei Xu, Han Liu, Mladen Kolar

Proceedings of the Conference on Parsimony and Learning, 2025

2024

Communication-Efficient Adaptive Batch Size Strategies for Distributed Local Gradient Methods.

Tim Tsz-Kit Lau, Weijian Li, Chenwei Xu, Han Liu, Mladen Kolar

CoRR, 2024

Outlier-Efficient Hopfield Layers for Large Transformer-Based Models.

Jerry Yao-Chieh Hu, Pei-Hsuan Chang, Robin Luo, Hong-Yu Chen, Weijian Li, Wei-Po Wang, Han Liu

CoRR, 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, Ammar Gilani, Hsi-Sheng Goan, Han Liu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Outlier-Efficient Hopfield Layers for Large Transformer-Based Models.

Jerry Yao-Chieh Hu, Pei-Hsuan Chang, Haozheng Luo, Hong-Yu Chen, Weijian Li, Wei-Po Wang, Han Liu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

STanHop: Sparse Tandem Hopfield Model for Memory-Enhanced Time Series Prediction.

Dennis Wu, Jerry Yao-Chieh Hu, Weijian Li, Bo-Yu Chen, Han Liu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

DNABERT-2: Efficient Foundation Model and Benchmark For Multi-Species Genomes.

Zhihan Zhou, Yanrong Ji, Weijian Li, Pratik Dutta, Ramana V. Davuluri, Han Liu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Multivariate Time Series Forecasting By Graph Attention Networks With Theoretical Guarantees.

Zhi Zhang, Weijian Li, Han Liu

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

DNABERT-2: Efficient Foundation Model and Benchmark For Multi-Species Genome.

Zhihan Zhou, Yanrong Ji, Weijian Li, Pratik Dutta, Ramana V. Davuluri, Han Liu

CoRR, 2023

Feature Programming for Multivariate Time Series Prediction.

Alex Daniel Reneau, Jerry Yao-Chieh Hu, Chenwei Xu, Weijian Li, Ammar Gilani, Han Liu

CoRR, 2023

2022

Interdisciplinary Discovery of Nanomaterials Based on Convolutional Neural Networks.

Tong Xie, Yuwei Wan, Weijian Li, Qingyuan Linghu, Shaozhou Wang, Yalun Cai, Han Liu, Chunyu Kit, Clara Grazian, Bram Hoex

CoRR, 2022