Yanjing Li

I am a PhD candidate (2020.09-) at the School of Electronics and Information Engineering, Beihang University, supervised by Prof. Xianbin Cao and Prof. Baochang Zhang. I obtained my BSc degree in Shen Yuan Honors College (Electronics and Information Engineering) from Beihang University (2016.09-2020.06). Now I am a research intern (2022.11-) of Shanghai AI Lab, and I was interned at Fundamental Vision Group of Sensetime.

Email: yanjingli@buaa.edu.cn

Google Scholar / Github / Linkedin

Research

My area of interest lies in the techniques of network binarization and quantization, along with knowledge distillation. My research objective is to facilitate the deployment of advanced neural network models on hardware with limited resources. This involves compressing various neural architectures and ensuring their adaptable deployment on diverse hardware platforms. My research focus is mainly on:

Network binarization and quantization

Knowledge distillation

Image synthesizing

Object detection

Selected Publications

Full list can be found on Google Scholar.

	Learning 1-Bit Tiny Object Detector with Discriminative Feature Refinement Sheng Xu^, Mingze Wang^, Yanjing Li^, Mingbao Lin, Baochang Zhang, David Doermann, Xiao Sun International Conference on Machine Learning (ICML), 2024 [Paper coming] / [arXiv coming] / [code coming] (^ Equal Contribution)
	Bi-ViT: Pushing the Limit of Vision Transformer Quantization Yanjing Li^, Sheng Xu^, Mingbao Lin, Xianbin Cao, Chuanjian Liu, Xiao Sun, Baochang Zhang AAAI Conference on Artificial Intelligence (AAAI), 2024 [Paper coming] / [arXiv] / [code] (^* Equal Contribution)
	Q-DM: An Efficient Low-bit Quantized Diffusion Model Yanjing Li^, Sheng Xu^, Xianbin Cao, Xiao Sun, Baochang Zhang Conference on Neural Information Processing Systems (NeurIPS), 2023 [Paper] / [arXiv coming] / [code coming] (^* Equal Contribution)
	Representation Disparity-aware Distillation for 3D Object Detection Yanjing Li^, Sheng Xu^, Mingbao Lin, Jihao Yin, Baochang Zhang, Xianbin Cao International Conference on Computer Vision (ICCV), 2023 [Paper] / [arXiv] / [code] (^* Equal Contribution)
	DCP-NAS: Discrepant Child-Parent Neural Architecture Search for 1-bit CNNs Yanjing Li^, Sheng Xu^, Xianbin Cao, Li'an Zhuo, Baochang Zhang, Tian Wang, Guodong Guo International Journal of Computer Vision (IJCV), 2023 [Paper] / [arXiv] / [code coming] (^* Equal Contribution)
	Q-DETR: An Efficient Low-Bit Quantized Detection Transformer Sheng Xu^, Yanjing Li^, Mingbao Lin, Peng Gao, Guodong Guo, Jinhu Lu, Baochang Zhang Computer Vision and Pattern Recognition (CVPR), 2023 Highlight presentation [Paper] / [arXiv] / [code] (^* Equal Contribution)
	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 Computer Vision and Pattern Recognition (CVPR), 2023 [Paper] / [arXiv] / [code]
	Resilient Binary Neural Network Sheng Xu^, Yanjing Li^, Teli Ma^, Mingbao Lin, Hao Dong, Baochang Zhang, Peng Gao, Jinhu Lu AAAI Conference on Artificial Intelligence (AAAI), 2023 Oral presentation* [Paper coming] / [arXiv] / [code] (^* Equal Contribution)
	Q-ViT: Accurate and Fully Quantized Low-bit Vision Transformer Yanjing Li^, Sheng Xu^, Baochang Zhang, Xianbin Cao, Peng Gao, Guodong Guo Conference on Neural Information Processing Systems (NeurIPS), 2022 [Paper] / [arXiv] / [code] (^* Equal Contribution)
	Recurrent Bilinear Optimization for Binary Neural Networks Sheng Xu^, Yanjing Li^, Tiancheng Wang, Teli Ma, Baochang Zhang, Peng Gao, Yu Qiao, Jinhu Lv, Guodong Guo European Conference on Computer Vision (ECCV), 2022 Oral presentation [Paper] / [arXiv] / [code] (^* Equal Contribution)
	IDa-Det: An Information Discrepancy-aware Distillation for 1-bit Detectors Sheng Xu^, Yanjing Li^, Bohan Zeng^, Baochang Zhang, Xianbin Cao, Peng Gao, Jinhu Lv European Conference on Computer Vision (ECCV), 2022 [Paper] / [arXiv] / [code] (^ Equal Contribution)

Academic Services

Program Committee of Conferences: CVPR 2022/2023, ECCV 2022, ICCV 2023, NeurIPS 2023, ICLR 2024, etc.