Food and Ingredient Joint Learning for Fine-Grained Recognition. - Chengxu Liu; Yuanzhi Liang; Yao Xue; Xueming Qian; Jianlong Fu (IEEE Trans. Circuits Syst. Video Technol., 2021)

Learning Trajectory-Aware Transformer for Video Super-Resolution. - Chengxu Liu; Huan Yang 005; Jianlong Fu; Xueming Qian (CVPR, 2022)

Food recognition via an efficient neural network with transformer grouping. - Guorui Sheng; Shuqi Sun; Chengxu Liu; Yancun Yang (Int. J. Intell. Syst., 2022)

CSDA: Learning Category-Scale Joint Feature for Domain Adaptive Object Detection. - Changlong Gao; Chengxu Liu; Yujie Dun; Xueming Qian (ICCV, 2023)

FSI: Frequency and Spatial Interactive Learning for Image Restoration in Under-Display Cameras. - Chengxu Liu; Xuan Wang 018; Shuai Li; Yuzhi Wang; Xueming Qian (ICCV, 2023)

TTVFI: Learning Trajectory-Aware Transformer for Video Frame Interpolation. - Chengxu Liu; Huan Yang 005; Jianlong Fu; Xueming Qian (IEEE Trans. Image Process., 2023)

4D LUT: Learnable Context-Aware 4D Lookup Table for Image Enhancement. - Chengxu Liu; Huan Yang 005; Jianlong Fu; Xueming Qian (IEEE Trans. Image Process., 2023)

Anomaly detection framework for unmanned vending machines. - Zongyang Da; Yujie Dun; Chengxu Liu; Yuanzhi Liang; Yao Xue; Xueming Qian (Knowl. Based Syst., 2023)

Decoupling Degradations with Recurrent Network for Video Restoration in Under-Display Camera. - Chengxu Liu; Xuan Wang 018; Yuanting Fan; Shuai Li; Xueming Qian (AAAI, 2024)

Motion-Adaptive Separable Collaborative Filters for Blind Motion Deblurring. - Chengxu Liu; Xuan Wang 018; Xiangyu Xu 002; Ruhao Tian; Shuai Li; Xueming Qian; Ming-Hsuan Yang 001 (CVPR, 2024)

AdaDiffSR: Adaptive Region-Aware Dynamic Acceleration Diffusion Model for Real-World Image Super-Resolution. - Yuanting Fan; Chengxu Liu; Nengzhong Yin; Changlong Gao; Xueming Qian (ECCV (12), 2024)

QueryCDR: Query-Based Controllable Distortion Rectification Network for Fisheye Images. - Pengbo Guo; Chengxu Liu; Xingsong Hou; Xueming Qian (ECCV (15), 2024)

SDPDet: Learning Scale-Separated Dynamic Proposals for End-to-End Drone-View Detection. - Nengzhong Yin; Chengxu Liu; Ruhao Tian; Xueming Qian (IEEE Trans. Multim., 2024)

Product Recognition for Unmanned Vending Machines. - Chengxu Liu; Zongyang Da; Yuanzhi Liang; Yao Xue; Guoshuai Zhao; Xueming Qian (IEEE Trans. Neural Networks Learn. Syst., 2024)

AJENet: Adaptive Joints Enhancement Network for Abnormal Behavior Detection in Office Scenario. - Chengxu Liu; Yaru Zhang; Yao Xue; Xueming Qian (IEEE Trans. Circuits Syst. Video Technol., 2024)

Split-Check: Boosting Product Recognition via Instance-Level Retrieval. - Chengxu Liu; Zongyang Da; Yuanzhi Liang; Yao Xue; Guoshuai Zhao; Xueming Qian (IEEE Trans. Ind. Informatics, 2024)

HF-HRNet: A Simple Hardware Friendly High-Resolution Network. - Hao Zhang 117; Yujie Dun; Yixuan Pei; Shenqi Lai; Chengxu Liu; Kaipeng Zhang; Xueming Qian (IEEE Trans. Circuits Syst. Video Technol., 2024)

Channel grouping vision transformer for lightweight fruit and vegetable recognition. - Chengxu Liu; Weiqing Min; Jingru Song; Yancun Yang; Guorui Sheng; Tao Yao; Lili Wang 006; Shuqiang Jiang (Expert Syst. Appl., 2025)

Rethinking Label Assignment and Sampling Strategies for Two-Stage Oriented Object Detection. - Jinjin Qian; Chengxu Liu; Yubin Ai; Guoshuai Zhao; Xueming Qian (IEEE Geosci. Remote. Sens. Lett., 2025)

InstanceSR: Efficient Reconstructing Small Object With Differential Instance-Level Super-Resolution. - Yuanting Fan; Chengxu Liu; Ruhao Tian; Xueming Qian (IEEE Trans. Circuits Syst. Video Technol., 2025)

TSAL: Few-shot Text Segmentation Based on Attribute Learning. - Chenming Li; Chengxu Liu; Yuanting Fan; Xiao Jin; Xingsong Hou; Xueming Qian (CoRR, 2025)

Enhancing Automated Vending Machine Product Recognition Through Depth-Guided Regression Refinement. - Jinjin Qian; Chengxu Liu; Yubin Ai; Guoshuai Zhao; Xueming Qian (IEEE Trans. Ind. Informatics, 2025)

Frequency Domain-Based Diffusion Model for Unpaired Image Dehazing. - Chengxu Liu; Lu Qi; Jinshan Pan; Xueming Qian; Ming-Hsuan Yang 001 (CoRR, 2025)

Learning Deblurring Texture Prior from Unpaired Data with Diffusion Model. - Chengxu Liu; Lu Qi; Jinshan Pan; Xueming Qian; Ming-Hsuan Yang 001 (CoRR, 2025)

An Adaptive and Scalable Framework for Resource-Efficient Deployment of Mixture of Experts in LLM-Based Intelligent IoT Networks. - Chengxu Liu; Yangfan Li; Cen Chen 002; Hailan Kuang; Xiaolin Ma; Xiaofeng Zou; Jing Liu 032; Zeyu Lu; Zhaoyuan Zhang; Xinhua Liu (IEEE Internet Things J., 2025)