Texture Information Driven Triangle Mesh Simplification. - Aiguo Xu; Shouqian Sun; Kaiqiang Xu (Computer Graphics and Imaging, 2005)

有监督的无参数核局部保持投影及人脸识别 (Parameter-less Supervised Kernel Locality Preserving Projection and Face Recognition). - Qu Gong; Kaiqiang Xu (计算机科学, 2016)

Retinex-based perceptual contrast enhancement in images using luminance adaptation. - Kaiqiang Xu; Cheolkon Jung (ICASSP, 2017)

Naturalness-preserved tone mapping in images based on perceptual quantization. - Cheolkon Jung; Kaiqiang Xu (ICIP, 2017)

Retinex-Based Perceptual Contrast Enhancement in Images Using Luminance Adaptation. - Qingtao Fu; Cheolkon Jung; Kaiqiang Xu (IEEE Access, 2018)

Structure-Constrained Feature Extraction by Autoencoders for Subspace Clustering. - Kewei Tang; Kaiqiang Xu; Zhixun Su; Wei Jiang 007; Xiaonan Luo; Xiyan Sun (ICCV Workshops, 2019)

EENA: Efficient Evolution of Neural Architecture. - Hui Zhu 002; Zhulin An; Chuanguang Yang; Kaiqiang Xu; Erhu Zhao; Yongjun Xu 001 (ICCV Workshops, 2019)

EENA: Efficient Evolution of Neural Architecture. - Hui Zhu 002; Zhulin An; Chuanguang Yang; Kaiqiang Xu; Yongjun Xu 001 (CoRR, 2019)

Gated Convolutional Networks with Hybrid Connectivity for Image Classification. - Chuanguang Yang; Zhulin An; Hui Zhu 002; Xiaolong Hu; Kaiqiang Xu; Chao Li 028; Boyu Diao; Yongjun Xu 001 (CoRR, 2019)

Rethinking the Number of Channels for the Convolutional Neural Network. - Hui Zhu 002; Zhulin An; Chuanguang Yang; Xiaolong Hu; Kaiqiang Xu; Yongjun Xu 001 (CoRR, 2019)

Gated Convolutional Networks with Hybrid Connectivity for Image Classification. - Chuanguang Yang; Zhulin An; Hui Zhu 002; Xiaolong Hu; Kun Zhang 045; Kaiqiang Xu; Chao Li 028; Yongjun Xu 001 (AAAI, 2020)

DRNet: Dissect and Reconstruct the Convolutional Neural Network via Interpretable Manners. - Xiaolong Hu; Zhulin An; Chuanguang Yang; Hui Zhu 002; Kaiqiang Xu; Yongjun Xu 001 (ECAI, 2020)

Towards More Efficient And Effective Inference: The Joint Decision Of Multi-Participants. - Hui Zhu 002; Zhulin An; Kaiqiang Xu; Xiaolong Hu; Yongjun Xu 001 (ICIP, 2020)

HLNet: Modeling High and Low Frequencies for Scene Parsing. - Kaiqiang Xu; Zhulin An; Hui Zhu 002; Xiaolong Hu; Yongjun Xu 001 (IJCNN, 2020)

Efficient Search for the Number of Channels for Convolutional Neural Networks. - Hui Zhu 002; Zhulin An; Chuanguang Yang; Xiaolong Hu; Kaiqiang Xu; Yongjun Xu 001 (IJCNN, 2020)

Multi-view Contrastive Learning for Online Knowledge Distillation. - Chuanguang Yang; Zhulin An; Xiaolong Hu; Hui Zhu 002; Kaiqiang Xu; Yongjun Xu 001 (CoRR, 2020)

TACC: A Full-stack Cloud Computing Infrastructure for Machine Learning Tasks. - Kaiqiang Xu; Xinchen Wan; Hao Wang 116; Zhenghang Ren; Xudong Liao; Decang Sun; Chaoliang Zeng; Kai Chen 005 (CoRR, 2021)

A fast data synchronization technique in optical inter-connected data centers. - Yang Lu; Lufang Cao; Kaiqiang Xu; Xuemeng Li; Hongsheng Deng; Yunxin Lv; Yanrong Zhai (Opt. Switch. Netw., 2023)

Scalable and Efficient Full-Graph GNN Training for Large Graphs. - Xinchen Wan; Kaiqiang Xu; Xudong Liao; Yilun Jin; Kai Chen 005; Xin Jin 008 (Proc. ACM Manag. Data, 2023)

Deep multi-view subspace clustering via structure-preserved multi-scale features fusion. - Kaiqiang Xu; Kewei Tang; Zhixun Su (Neural Comput. Appl., 2023)

Selecting the Best Part From Multiple Laplacian Autoencoders for Multi-View Subspace Clustering. - Kewei Tang; Kaiqiang Xu; Wei Jiang 007; Zhixun Su; Xiyan Sun; Xiaonan Luo (IEEE Trans. Knowl. Data Eng., 2023)

Multi-view subspace clustering via consistent and diverse deep latent representations. - Kewei Tang; Kaiqiang Xu; Zhixun Su; Nan Zhang (Inf. Sci., 2023)

Clean and robust multi-level subspace representations learning for deep multi-view subspace clustering. - Kaiqiang Xu; Kewei Tang; Zhixun Su; Hongchen Tan (Expert Syst. Appl., 2024)

Attention-Bridged Modal Interaction for Text-to-Image Generation. - Hongchen Tan; Baocai Yin; Kaiqiang Xu; Huasheng Wang; Xiuping Liu; Xin Li 003 (IEEE Trans. Circuits Syst. Video Technol., 2024)

Multi-view deep subspace clustering via level-by-level guided multi-level features learning. - Kaiqiang Xu; Kewei Tang; Zhixun Su (Appl. Intell., 2024)

Design and Operation of Shared Machine Learning Clusters on Campus. - Kaiqiang Xu; Decang Sun; Hao Wang 116; Zhenghang Ren; Xinchen Wan; Xudong Liao; Zilong Wang 007; Junxue Zhang 001; Kai Chen 005 (ASPLOS (1), 2025)

GREEN: Carbon-efficient Resource Scheduling for Machine Learning Clusters. - Kaiqiang Xu; Decang Sun; Han Tian; Junxue Zhang 001; Kai Chen 005 (NSDI, 2025)

Enabling Efficient GPU Communication over Multiple NICs with FuseLink. - Zhenghang Ren; Yuxuan Li; Zilong Wang 007; Xinyang Huang; Wenxue Li; Kaiqiang Xu; Xudong Liao; Yijun Sun; Bowen Liu; Han Tian; Junxue Zhang 001; Mingfei Wang; et al. (OSDI, 2025)

Adversarial perturbation and defense for generalizable person re-identification. - Hongchen Tan; Kaiqiang Xu; Pingping Tao; Xiuping Liu (Neural Networks, 2025)

Swift: Rethinking RDMA Control Plane for Elastic Computing. - Junxue Zhang 001; Han Tian; Xinyang Huang; Wenxue Li; Kaiqiang Xu; Dian Shen; Yong Wang 046; Kai Chen 005 (CoRR, 2025)

Sequoia: An Accessible and Extensible Framework for Privacy-Preserving Machine Learning over Distributed Data. - Kaiqiang Xu; Di Chai; Junxue Zhang 001; Fan Lai 001; Kai Chen 005 (Proc. ACM Manag. Data, 2025)