Publications

*: Equal contribution or alphabetic ordering.

Papers and Preprints

1. Knowledge Distillation with Multi-granularity Mixture of Priors for Image Super-Resolution
   Simiao Li*, Yun Zhang*, Wei Li, Hanting Chen, Wenjia Wang, Bingyi Jing, Shaohui Lin, Jie Hu
   European Conference on Computer Vision (ECCV), 2024

2. Data Upcycling Knowledge Distillation for Image Super-Resolution
   Yun Zhang, Wei Li, Simiao Li, Jie Hu, Hanting Chen, Hailing Wang, Zhijun Tu, Wenjia Wang, Bingyi Jing, Yunhe Wang

3. CBQ: Cross-Block Quantization for Large Language Models
   Xin Ding, Xiaoyu Liu, Yun Zhang, Zhijun Tu, Wei Li, Jie Hu, Hanting Chen, Yehui Tang, Zhiwei Xiong, Baoqun Yin, Yunhe Wang

4. Soft BPR Loss for Dynamic Hard Negative Sampling in Recommender Systems
   Kexin Shi, Yun Zhang, Bingyi Jing, Wenjia Wang

5. Hop-Mix-DNS: Hop-wise Mixing Dynamic Negative Sampling for Graph Neural Network-based Recommendation Systems
   Yun Zhang, Kexin Shi, Bingyi Jing
   

Patents

1. Yun Zhang, Wei Li, Simiao Li, Jie Hu, Hanting Chen, Zhijun Tu, Wenjia Wang, Yunhe Wang. (2023, September 15). CN117422131A. Model training method and training equipment.