Lu, Jinhu

8 publications

ECML-PKDD 2024 Intent Enhanced Self-Supervised Hypergraph Learning for Session-Based Recommendation Xiu Susie Fang, Yonggang Wu, Jinhu Lu, Xiaoyu Gu, Guohao Sun, Yong Zhan

CVPR 2023 AttriCLIP: A Non-Incremental Learner for Incremental Knowledge Learning Runqi Wang, Xiaoyue Duan, Guoliang Kang, Jianzhuang Liu, Shaohui Lin, Songcen Xu, Jinhu Lü, Baochang Zhang

CVPR 2023 Q-DETR: An Efficient Low-Bit Quantized Detection Transformer Sheng Xu, Yanjing Li, Mingbao Lin, Peng Gao, Guodong Guo, Jinhu Lü, Baochang Zhang

AAAI 2023 Resilient Binary Neural Network Sheng Xu, Yanjing Li, Teli Ma, Mingbao Lin, Hao Dong, Baochang Zhang, Peng Gao, Jinhu Lu

CVPR 2022 Bi-Level Doubly Variational Learning for Energy-Based Latent Variable Models Ge Kan, Jinhu Lü, Tian Wang, Baochang Zhang, Aichun Zhu, Lei Huang, Guodong Guo, Hichem Snoussi

ECCV 2022 IDa-Det: An Information Discrepancy-Aware Distillation for 1-Bit Detectors Sheng Xu, Yanjing Li, Bohan Zeng, Teli Ma, Baochang Zhang, Xianbin Cao, Peng Gao, Jinhu Lü

ECCV 2022 Recurrent Bilinear Optimization for Binary Neural Networks Sheng Xu, Yanjing Li, Tiancheng Wang, Teli Ma, Baochang Zhang, Peng Gao, Yu Qiao, Jinhu Lü, Guodong Guo

CVPR 2021 Layer-Wise Searching for 1-Bit Detectors Sheng Xu, Junhe Zhao, Jinhu Lu, Baochang Zhang, Shumin Han, David Doermann