Weijian Li - RankMe

16 papers A* 5A 1Journal 9Unranked 1

Year	Rank	Type	Title / 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