Supervised Contrastive Vehicle Quantization for Efficient Vehicle Retrieval. - Yongbiao Chen; Kaicheng Guo; Fangxin Liu; Yusheng Huang; Zhengwei Qi (ICMR, 2022)

Optimum: Runtime optimization for multiple mixed model deployment deep learning inference. - Kaicheng Guo; Yixiao Xu; Zhengwei Qi; Haibing Guan (J. Syst. Archit., 2023)

DVHN: A Deep Hashing Framework for Large-Scale Vehicle Re-Identification. - Yongbiao Chen; Sheng Zhang; Fangxin Liu; Chenggang Wu; Kaicheng Guo; Zhengwei Qi (IEEE Trans. Intell. Transp. Syst., 2023)

Design and Operation of Elastic GPU-Pooling on Campus. - Kaicheng Guo; Jingyi Chen; Yun Wang; Semakin Anton; Tovmachenko Dmitry; Jiajie Sheng; Jianwen Wei; James Lin; Zhengwei Qi; Haibing Guan (Euro-Par (1), 2025)

Exploring Efficient Hardware Accelerator for Learning-Based Image Compression. - Chen Chen; Haoyang Zhang; Kaicheng Guo; Xingzi Yu; Weidong Qiu; Zhengwei Qi; Haibing Guan (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2025)

Benchmarking Partial Observability in Reinforcement Learning with a Suite of Memory-Improvable Domains. - Ruo Yu Tao; Kaicheng Guo; Cameron Allen; George Dimitri Konidaris (CoRR, 2025)