I am currently Associate Professor at School of Artificial Intelligence in BUPT. I received the PhD at Pattern Recognition and Intelligent Systems (PRIS) laboratory of BUPT in 2019.During PHD career, I was under the join supervision of Professor Honggang Zhang (the director of PRIS) and Dr. Yi-Zhe Song (the director of SketchX).
My research interest is Computer Vision and Machine Learning, particularly focus on Sketch, Video analysis, Information Retrieval.
Education and Work experience
- 2009.09 – 2013.06 B.S. in BUPT
- 2013.09 – 2019.06 M.S. & PH.D in BUPT
- 2017.10 – 2018.12 Visiting scholar in SketchX
Publications
2026
Minghan Yang, LAN YANG, Ke Li, Honggang Zhang, Kaiyue Pang, Yi-Zhe SongIEEE/CVF Conference on Computer Vision and Pattern Recognition(CVPR)
SemVideo: Reconstructs What You Watch from Brain Activity via Hierarchical Semantic Guidance
Dai Zunkai, Ke Li, JIAJIA LIU, Jie Yang, Yuanyuan Qiao .IEEE/CVF Conference on Computer Vision and Pattern Recognition(CVPR)
No Need For Real Anomaly: MLLM Empowered Zero-Shot Video Anomaly Detection
Jiangning Wei, Bo Yu, Ke Li</b>, Lan Yang, Dandan Xiao, Jun Liu.**共同通讯作者**Pattern Recognition(PR)
**ST-VA-AR: LearningVelocity-Aware ActionRepresentations with Mixture ofSpatiotemporal Attention
Ke Li, Jijin Hu, Zhipeng Chen, Lan Yang, Yonggang Qi, Yi-Zhe Song .International Journal of Computer Vision(IJCV)
SACG++: Complex Sketch Generation via Representation-Enhanced Scale-Adaptive Classifier Guidance
Zhipeng Chen, Chao Zhang, zhongrui zhang, Yifan Xu, LAN YANG, Jun Liu, Ke Li, Yi-Zhe Song.**通讯作者**International Conference on Learning Representations(ICLR)
PerfGuard: A Performance-Aware Agent for Visual Content Generation
Zhixin Feng, Runan Yin, LAN YANG, Kaiyue Pang, Ke Li, Honggang Zhang, Yi-Zhe Song. **通讯作者**International Conference on Learning Representations(ICLR)
SketchEvo: Leveraging Drawing Dynamics for Enhanced Image Synthesis
2025
JianChang, PengferXiao, HuisingZhao, Hao Jiang, Ke Li, Lan Yang, Honggang Zhang.2025 9th IEEE International Conference on Network Intelligence and Digital Content(IEEE IC-NIDC 2025),Best Paper Award
Caption-Aware Fusion Network for Visual Dialog
Cong Li, Jiang Wu, Qian Du, Shudan Yu, Rong Zou, Ke Yu, Keliang Chen, Ke Li, Yuxingue Qian, Kiadian Guo, Haozhe Song, Vinming Li, Jun Li.2025 9th IEEE International Conference on Network Intelligence and Digital Content(IEEE IC-NIDC 2025),Best Paper Award
Acps: Agent collaboration protocols for the internet of agents
Zhixin Feng, Ge Gao, Qian Yu, Ke Li.**通讯作者**2025 4th International Conference on Intelligent Mechanical and Human-Computer Interaction Technology (IHCIT)
Human Preference Embodied in Strokes: Iterative Sketch Guidance for Image Synthesis
Sunyan Liu, Lan Yang, Hao Jiang, Xuan Peng, Shuo Chen, Ke Li, Honggang Zhang.**通讯作者**2025 9th IEEE International Conference on Network Intelligence and Digital Content(IEEE IC-NIDC 2025)
EVALUATING THE VIABILITY AND PERFORMANCE OF HUAWEI ASCEND NPU FOR LARGE LANGUAGE MODEL INFERENCE
Zhipeng Chen, Lan Yang, Yonggang Qi, Honggang Zhang, Kaiyue Pang, Ke Li, Yi-Zhe Song.**通讯作者**The 39th Annual AAAI Conference on Artificial Intelligence(AAAI),Oral
VersaGen: Unleashing Versatile Visual Control for Text-to-Image Synthesis
Jiangning Wei, lixiong Qin, Bo Yu, TianJian Zou, Chuhan Yan, Dandan Xiao, Yang Yu, Lan Yang, Ke Li, Jun Liu.The 39th Annual AAAI Conference on Artificial Intelligence(AAAI)
VA-AR: Learning Velocity-Aware Action Representations with Mixture of Window Attentions
2024
Jijin Hu, Ke Li, Yonggang Qi, Yi-Zhe Song.**通讯作者**The Twelfth International Conference on Learning Representations(ICLR)
Scale-Adaptive Diffusion Model for Complex Sketch Synthesis
Xin Dai, Haoge Deng, Ke Li, Yonggang Qi.International Conference on Pattern Recognition
Sketch2Seg: Sketch-Based Image Segmentation with Pre-trained Diffusion Model
Hongming Guo, Ziqing Huang, Qian Yuan, Hanbo Song, Zhiyan Liu, Xianzhao Feng, Anqi Liu, Min Liu, Ke Li, Ruixi ZhouInternational Conference on Artificial Neural Networks
2023
Ke Li, Kaiyue Pang, Yi-Zhe Song.IEEE/CVF Conference on Computer Vision and Pattern Recognition(CVPR)
Photo Pre-Training, But for Sketchs
Zhiyu Qu, Yulia Gryaditskaya,Ke Li, Kaiyue Pang, Tao Xiang, Yi-Zhe Song.IEEE/CVF Conference on Computer Vision and Pattern Recognition(CVPR)
SketchXAI: A First Look at Explainability for Human Sketches
2019
Kaiyue Pang1, Ke Li1, Yongxin Yang, Honggang Zhang, Timothy M Hospedales, Tao Xiang, Yi-Zhe SongProceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition(CVPR)
1 equal contribution
Generalising Fine-Grained Sketch-Based Image Retrieval
Ke Li, Kaiyue Pang, Jifei Song, Yi-Zhe Song, Tao Xiang, Timothy M Hospedales, Honggang ZhangIEEE Transactions on Image Processing(TIP)
Towards Deep Universal Sketch Perceptual Grouper
2018
Ke Li, Kaiyue Pang, Jifei Song, Yi-Zhe Song, Tao Xiang, Timothy M Hospedales, Honggang ZhangProceedings of the european conference on computer vision(ECCV)
Universal Sketch Perceptual Grouping
2017
Ke Li, Kaiyue Pang, Yi-Zhe Song, Timothy M Hospedales, Honggang ZhangIEEE Transactions on Image Processing(TIP)
Synergistic Instance-Level Subspace Alignment for Fine-Grained Sketch-Based Image Retrieval
2016
Ke Li, Kaiyue Pang, Yi-Zhe Song, Timothy M Hospedales, Honggang ZhangIEEE Winter Conference on Applications of Computer Vision(WACV),Oral
Fine-Grained Sketch-Based Image Retrieval: The Role of Part-Aware Attributes
Yichuan Hu,Ke Li, Honggang ZhangVisual Communications and Image Processing (VCIP)
Cross-modal face matching: Tackling visual abstraction using fine-grained attributes
Peng Xu, Ke Li, Zhanyu Ma, Yi-Zhe Song, Liang Wang, Jun GuoIEEE International Conference on Network Infrastructure and Digital Content (IC-NIDC), Best Paper Award
Cross-modal subspace learning for sketch-based image retrieval: A comparative study