Weijian Li

16 papers A* 5A 1Journal 9Unranked 1
YearRankTypeTitle / Venue / Authors
2025 — conf
Adaptive Batch Size Schedules for Distributed Training of Language Models with Data and Model Parallelism.
CPAL
Tim Tsz-Kit Lau, Weijian Li, Chenwei Xu, Han Liu, Mladen Kolar
2025 A* conf
Incorporating Gradients to Rules: Towards Lightweight, Adaptive Provenance-based Intrusion Detection.
NDSS
Lingzhi Wang, Xiangmin Shen, Weijian Li, Zhenyuan Li, R. Sekar, Han Liu, Yan Chen
2024 J jnl
Adaptive Batch Size Schedules for Distributed Training of Language Models with Data and Model Parallelism.
CoRR
Tim Tsz-Kit Lau, Weijian Li, Chenwei Xu, Han Liu, Mladen Kolar
2024 A* conf
BiSHop: Bi-Directional Cellular Learning for Tabular Data with Generalized Sparse Modern Hopfield Model.
ICML
Chenwei Xu, Yu-Chao Huang, Jerry Yao-Chieh Hu, Weijian Li, Ammar Gilani, Hsi-Sheng Goan, Han Liu
2024 J jnl
BiSHop: Bi-Directional Cellular Learning for Tabular Data with Generalized Sparse Modern Hopfield Model.
CoRR
Chenwei Xu, Yu-Chao Huang, Jerry Yao-Chieh Hu, Weijian Li, Ammar Gilani, Hsi-Sheng Goan, Han Liu
2024 J jnl
Communication-Efficient Adaptive Batch Size Strategies for Distributed Local Gradient Methods.
CoRR
Tim Tsz-Kit Lau, Weijian Li, Chenwei Xu, Han Liu, Mladen Kolar
2024 A* conf
DNABERT-2: Efficient Foundation Model and Benchmark For Multi-Species Genomes.
ICLR
Zhihan Zhou, Yanrong Ji, Weijian Li, Pratik Dutta, Ramana V. Davuluri, Han Liu
2024 J jnl
Incorporating Gradients to Rules: Towards Lightweight, Adaptive Provenance-based Intrusion Detection.
CoRR
Lingzhi Wang, Xiangmin Shen, Weijian Li, Zhenyuan Li, R. Sekar, Han Liu, Yan Chen
2024 A conf
Multivariate Time Series Forecasting By Graph Attention Networks With Theoretical Guarantees.
AISTATS
Zhi Zhang, Weijian Li, Han Liu
2024 A* conf
Outlier-Efficient Hopfield Layers for Large Transformer-Based Models.
ICML
Jerry Yao-Chieh Hu, Pei-Hsuan Chang, Haozheng Luo, Hong-Yu Chen, Weijian Li, Wei-Po Wang, Han Liu
2024 J jnl
Outlier-Efficient Hopfield Layers for Large Transformer-Based Models.
CoRR
Jerry Yao-Chieh Hu, Pei-Hsuan Chang, Robin Luo, Hong-Yu Chen, Weijian Li, Wei-Po Wang, Han Liu
2024 A* conf
STanHop: Sparse Tandem Hopfield Model for Memory-Enhanced Time Series Prediction.
ICLR
Dennis Wu, Jerry Yao-Chieh Hu, Weijian Li, Bo-Yu Chen, Han Liu
2023 J jnl
DNABERT-2: Efficient Foundation Model and Benchmark For Multi-Species Genome.
CoRR
Zhihan Zhou, Yanrong Ji, Weijian Li, Pratik Dutta, Ramana V. Davuluri, Han Liu
2023 J jnl
Feature Programming for Multivariate Time Series Prediction.
CoRR
Alex Daniel Reneau, Jerry Yao-Chieh Hu, Chenwei Xu, Weijian Li, Ammar Gilani, Han Liu
2023 J jnl
STanHop: Sparse Tandem Hopfield Model for Memory-Enhanced Time Series Prediction.
CoRR
Dennis Wu, Jerry Yao-Chieh Hu, Weijian Li, Bo-Yu Chen, Han Liu
2022 J jnl
Interdisciplinary Discovery of Nanomaterials Based on Convolutional Neural Networks.
CoRR
Tong Xie, Yuwei Wan, Weijian Li, Qingyuan Linghu, Shaozhou Wang, Yalun Cai, Han Liu, Chunyu Kit, Clara Grazian, Bram Hoex