Li, Yanjing

18 publications

ICLR 2025 Efficient Low-Bit Quantization with Adaptive Scales for Multi-Task Co-Training Boyu Liu, Haoyu Huang, Linlin Yang, Yanjing Li, Guodong Guo, Xianbin Cao, Baochang Zhang

CVPR 2025 SET: Spectral Enhancement for Tiny Object Detection Huixin Sun, Runqi Wang, Yanjing Li, Linlin Yang, Shaohui Lin, Xianbin Cao, Baochang Zhang

ICCV 2025 Uncertainty-Aware Gradient Stabilization for Small Object Detection Huixin Sun, Yanjing Li, Linlin Yang, Xianbin Cao, Baochang Zhang

ICLRW 2024 A Multi-Grained Symmetric Differential Equation Model for Learning Protein-Ligand Binding Dynamics Shengchao Liu, Weitao Du, Yanjing Li, Zhuoxinran Li, Vignesh C Bhethanabotla, Nakul Rampal, Omar M. Yaghi, Christian Borgs, Anima Anandkumar, Hongyu Guo, Jennifer T Chayes

AAAI 2024 Bi-ViT: Pushing the Limit of Vision Transformer Quantization Yanjing Li, Sheng Xu, Mingbao Lin, Xianbin Cao, Chuanjian Liu, Xiao Sun, Baochang Zhang

ICML 2024 Learning 1-Bit Tiny Object Detector with Discriminative Feature Refinement Sheng Xu, Mingze Wang, Yanjing Li, Mingbao Lin, Baochang Zhang, David Doermann, Xiao Sun

NeurIPSW 2023 ChatPathway: Conversational Large Language Models for Biology Pathway Detection Yanjing Li, Hannan Xu, Haiteng Zhao, Hongyu Guo, Shengchao Liu

NeurIPSW 2023 ChatPathway: Conversational Large Language Models for Biology Pathway Detection Yanjing Li, Hannan Xu, Haiteng Zhao, Hongyu Guo, Shengchao Liu

CVPR 2023 Implicit Diffusion Models for Continuous Super-Resolution Sicheng Gao, Xuhui Liu, Bohan Zeng, Sheng Xu, Yanjing Li, Xiaoyan Luo, Jianzhuang Liu, Xiantong Zhen, 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

NeurIPS 2023 Q-DM: An Efficient Low-Bit Quantized Diffusion Model Yanjing Li, Sheng Xu, Xianbin Cao, Xiao Sun, Baochang Zhang

ICCV 2023 Representation Disparity-Aware Distillation for 3D Object Detection Yanjing Li, Sheng Xu, Mingbao Lin, Jihao Yin, Baochang Zhang, Xianbin Cao

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

NeurIPS 2023 Symmetry-Informed Geometric Representation for Molecules, Proteins, and Crystalline Materials Shengchao Liu, Weitao Du, Yanjing Li, Zhuoxinran Li, Zhiling Zheng, Chenru Duan, Zhi-Ming Ma, Omar Yaghi, Animashree Anandkumar, Christian Borgs, Jennifer Chayes, Hongyu Guo, Jian Tang

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

NeurIPS 2022 Not All Bits Have Equal Value: Heterogeneous Precisions via Trainable Noise Pedro Savarese, Xin Yuan, Yanjing Li, Michael Maire

NeurIPS 2022 Q-ViT: Accurate and Fully Quantized Low-Bit Vision Transformer Yanjing Li, Sheng Xu, Baochang Zhang, Xianbin Cao, Peng Gao, Guodong Guo

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