Li, Weijian

14 publications

CPAL 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

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, Ammar Gilani, Hsi-Sheng Goan, Han Liu

ICLR 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

AISTATS 2024 Multivariate Time Series Forecasting by Graph Attention Networks with Theoretical Guarantees Zhi Zhang, Weijian Li, Han Liu

ICMLW 2024 OutEffHop: A Principled Outlier-Efficient Attention Layer from Dense Associative Memory Models Haozheng Luo, Jerry Yao-Chieh Hu, Pei-Hsuan Chang, Hong-Yu Chen, Weijian Li, Wei-Po Wang, Han Liu

ICML 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

ICLR 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

ICCV 2023 DocTr: Document Transformer for Structured Information Extraction in Documents Haofu Liao, Aruni RoyChowdhury, Weijian Li, Ankan Bansal, Yuting Zhang, Zhuowen Tu, Ravi Kumar Satzoda, R. Manmatha, Vijay Mahadevan

ICCV 2023 Unsupervised Self-Driving Attention Prediction via Uncertainty Mining and Knowledge Embedding Pengfei Zhu, Mengshi Qi, Xia Li, Weijian Li, Huadong Ma

NeurIPS 2022 Communication-Efficient Topologies for Decentralized Learning with $o(1)$ Consensus Rate Zhuoqing Song, Weijian Li, Kexin Jin, Lei Shi, Ming Yan, Wotao Yin, Kun Yuan

NeurIPSW 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

ICCV 2021 Learning Bias-Invariant Representation by Cross-Sample Mutual Information Minimization Wei Zhu, Haitian Zheng, Haofu Liao, Weijian Li, Jiebo Luo

ECCV 2020 Anatomy-Aware Siamese Network: Exploiting Semantic Asymmetry for Accurate Pelvic Fracture Detection in X-Ray Images Haomin Chen, Yirui Wang, Kang Zheng, Weijian Li, Chi-Tung Chang, Adam P. Harrison, Jing Xiao, Gregory D. Hager, Le Lu, Chien-Hung Liao, Shun Miao

ECCV 2020 Structured Landmark Detection via Topology-Adapting Deep Graph Learning Weijian Li, Yuhang Lu, Kang Zheng, Haofu Liao, Chihung Lin, Jiebo Luo, Chi-Tung Cheng, Jing Xiao, Le Lu, Chang-Fu Kuo, Shun Miao