Lin, Jie

17 publications

AAAI 2025 Aerodynamic Coefficients Prediction via Cross-Attention Fusion and Physical-Informed Training Yueqing Wang, Peng Zhang, Yushuang Liu, Jianing Zhao, Jie Lin, Yi Chen

ICLR 2024 A Framework for Inference Inspired by Human Memory Mechanisms Xiangyu Zeng, Jie Lin, Piao Hu, Ruizheng Huang, Zhicheng Zhang

NeurIPSW 2024 Improving Group Connectivity for Generalization of Federated Deep Learning Zexi Li, Jie Lin, Zhiqi Li, Didi Zhu, Rui Ye, Tao Shen, Tao Lin, Chao Wu

ECCV 2024 LPViT: Low-Power Semi-Structured Pruning for Vision Transformers Kaixin Xu, Zhe Wang, Chunyun Chen, Xue Geng, Jie Lin, Xulei Yang, Min Wu, Xiaoli Li, Weisi Lin

AISTATS 2024 SDMTR: A Brain-Inspired Transformer for Relation Inference Xiangyu Zeng, Jie Lin, Piao Hu, Zhihao Li, Tianxi Huang

ECCV 2022 RDO-Q: Extremely Fine-Grained Channel-Wise Quantization via Rate-Distortion Optimization Zhe Wang, Jie Lin, Xue Geng, Mohamed M. Sabry Aly, Vijay Chandrasekhar

AAAI 2021 Information Block Detection in Infographic Based on Spatial Proximity and Structural Similarity (Student Abstract) Jie Lin, Xin Wu, Jianwei Lu, Yi Cai

CVPR 2021 Learning Cross-Modal Retrieval with Noisy Labels Peng Hu, Xi Peng, Hongyuan Zhu, Liangli Zhen, Jie Lin

AAAI 2021 OPQ: Compressing Deep Neural Networks with One-Shot Pruning-Quantization Peng Hu, Xi Peng, Hongyuan Zhu, Mohamed M. Sabry Aly, Jie Lin

CVPR 2021 PSRR-MaxpoolNMS: Pyramid Shifted MaxpoolNMS with Relationship Recovery Tianyi Zhang, Jie Lin, Peng Hu, Bin Zhao, Mohamed M. Sabry Aly

ICLR 2020 MaskConvNet: Training Efficient ConvNets from Scratch via Budget-Constrained Filter Pruning Raden Mu'az Mun'im, Jie Lin, Vijay Chandrasekhar, Koichi Shinoda

ICLR 2020 Role-Wise Data Augmentation for Knowledge Distillation Jie Fu, Xue Geng, Zhijian Duan, Bohan Zhuang, Xingdi Yuan, Adam Trischler, Jie Lin, Chris Pal, Hao Dong

AAAI 2020 Semi-Supervised Multi-Modal Learning with Balanced Spectral Decomposition Peng Hu, Hongyuan Zhu, Xi Peng, Jie Lin

AAAI 2020 Spatial-Temporal Gaussian Scale Mixture Modeling for Foreground Estimation Qian Ning, Weisheng Dong, Fangfang Wu, Jinjian Wu, Jie Lin, Guangming Shi

IJCAI 2017 Discriminative Deep Hashing for Scalable Face Image Retrieval Jie Lin, Zechao Li, Jinhui Tang

IJCAI 2017 Object Detection Meets Knowledge Graphs Yuan Fang, Kingsley Kuan, Jie Lin, Cheston Tan, Vijay Chandrasekhar

IJCAI 2015 Hamming Compatible Quantization for Hashing Zhe Wang, Ling-Yu Duan, Jie Lin, Xiaofang Wang, Tiejun Huang, Wen Gao