Handoff of application sessions across time and space. - Thomas Phan; Kaixin Xu; Richard G. Guy; Rajive L. Bagrodia (ICC, 2001)

Looking ahead of real time in Hybrid component networks. - Kaixin Xu; Mineo Takai; Jay Martin; Rajive L. Bagrodia (Workshop on Parallel and Distributed Simulation, 2001)

Measured analysis of TCP behavior across multihop wireless and wired networks. - Sang Bae; Kaixin Xu; Sungwook Lee; Mario Gerla (GLOBECOM, 2002)

How effective is the IEEE 802.11 RTS/CTS handshake in ad hoc networks. - Kaixin Xu; Mario Gerla; Sang Bae (GLOBECOM, 2002)

Scalable ad hoc routing in large, dense wireless networks using clustering and landmarks. - Xiaoyan Hong; Mario Gerla; Yunjung Yi; Kaixin Xu; Taek Jin Kwon (ICC, 2002)

An ad hoc network with mobile backbones. - Kaixin Xu; Xiaoyan Hong; Mario Gerla (ICC, 2002)

TCP behavior across multihop wireless networks and the wired internet. - Kaixin Xu; Sang Bae; Sungwook Lee; Mario Gerla (WOWMOM, 2002)

Scalable routing protocols for mobile ad hoc networks. - Xiaoyan Hong; Kaixin Xu; Mario Gerla (IEEE Netw., 2002)

Adaptive security for multilevel ad hoc networks. - Jiejun Kong; Haiyun Luo; Kaixin Xu; Daniel Lihui Gu; Mario Gerla; Songwu Lu (Wirel. Commun. Mob. Comput., 2002)

TCP performance over multipath routing in mobile ad hoc networks. - Haejung Lim; Kaixin Xu; Mario Gerla (ICC, 2003)

Enhancing TCP fairness in ad hoc wireless networks using neighborhood RED. - Kaixin Xu; Mario Gerla; Lantao Qi; Yantai Shu (MobiCom, 2003)

Effectiveness of RTS/CTS handshake in IEEE 802.11 based ad hoc networks. - Kaixin Xu; Mario Gerla; Sang Bae (Ad Hoc Networks, 2003)

Landmark routing in ad hoc networks with mobile backbones. - Kaixin Xu; Xiaoyan Hong; Mario Gerla (J. Parallel Distributed Comput., 2003)

Multimedia streaming in large-scale sensor networks with mobile swarms. - Mario Gerla; Kaixin Xu (SIGMOD Rec., 2003)

Hybrid landmark routing in ad hoc networks with heterogeneous group mobility. - Yeng-Zhong Lee; Kaixin Xu; Xiaoyan Hong; Mario Gerla (ISWCS, 2005)

Experimental evaluation of LANMAR, a scalable ad-hoc routing protocol. - Yeng-Zhong Lee; Jason Chen; Xiaoyan Hong; Kaixin Xu; Teresa Maria Breyer; Mario Gerla (WCNC, 2005)

TCP Unfairness in Ad Hoc Wireless Networks and a Neighborhood RED Solution. - Kaixin Xu; Mario Gerla; Lantao Qi; Yantai Shu (Wirel. Networks, 2005)

Multi-Instance Multi-Label Learning for Gene Mutation Prediction in Hepatocellular Carcinoma. - Kaixin Xu; Ziyuan Zhao; Jiapan Gu; Zeng Zeng; Chan Wan Ying; Lim Kheng Choon; Thng Choon Hua; Pierce K. H. Chow (EMBC, 2020)

Hierarchical Consistency Regularized Mean Teacher for Semi-supervised 3D Left Atrium Segmentation. - Shumeng Li; Ziyuan Zhao; Kaixin Xu; Zeng Zeng; Cuntai Guan (EMBC, 2021)

MT-UDA: Towards Unsupervised Cross-modality Medical Image Segmentation with Limited Source Labels. - Ziyuan Zhao; Kaixin Xu; Shumeng Li; Zeng Zeng; Cuntai Guan (MICCAI (1), 2021)

DSAL: Deeply Supervised Active Learning From Strong and Weak Labelers for Biomedical Image Segmentation. - Ziyuan Zhao; Zeng Zeng; Kaixin Xu; Cen Chen 001; Cuntai Guan (IEEE J. Biomed. Health Informatics, 2021)

MS-MT: Multi-scale Mean Teacher with Contrastive Unpaired Translation for Cross-Modality Vestibular Schwannoma and Cochlea Segmentation. - Ziyuan Zhao; Kaixin Xu; Huai Zhe Yeo; Xulei Yang; Cuntai Guan (BrainLes@MICCAI (2), 2022)

Self-supervised Assisted Active Learning for Skin Lesion Segmentation. - Ziyuan Zhao; Wenjing Lu; Zeng Zeng; Kaixin Xu; Bharadwaj Veeravalli; Cuntai Guan (EMBC, 2022)

Object-Aware Self-Supervised Multi-Label Learning. - Kaixin Xu; Liyang Liu; Ziyuan Zhao; Zeng Zeng; Bharadwaj Veeravalli (ICIP, 2022)

ViRBase v3.0: a virus and host ncRNA-associated interaction repository with increased coverage and annotation. - Jun Cheng; Yunqing Lin; Linfu Xu; Kechen Chen; Qi Li; Kaixin Xu; Lin Ning 002; Juanjuan Kang; Tianyu Cui; Yan Huang; Xiaoyang Zhao; Dong Wang 011; et al. (Nucleic Acids Res., 2022)

Analysis and Synthesis of Switched Linear Systems with Random Mode-Dependent Sojourn-Time. - Bo Cai; Kaixin Xu; Shengao Lu; Ye Liang; Lixian Zhang (CDC, 2023)

Efficient Joint Optimization of Layer-Adaptive Weight Pruning in Deep Neural Networks. - Kaixin Xu; Zhe Wang 019; Xue Geng; Min Wu 008; Xiaoli Li 001; Weisi Lin (ICCV, 2023)

Metagrad: Adaptive Gradient Quantization with Hypernetworks. - Kaixin Xu; Alina Hui Xiu Lee; Ziyuan Zhao; Zhe Wang 019; Min Wu 008; Weisi Lin (ICIP, 2023)

MS-MT++: Enhanced Multi-scale Mean Teacher for Cross-Modality Vestibular Schwannoma and Cochlea Segmentation. - Ziyuan Zhao; Ruikai Lin; Kaixin Xu; Xulei Yang; Cuntai Guan (BraTS/CrossMoDA@MICCAI, 2023)

GaitFormer: Revisiting Intrinsic Periodicity for Gait Recognition. - Qian Wu; Ruixuan Xiao; Kaixin Xu; Jingcheng Ni; Boxun Li; Ziyao Xu (CoRR, 2023)

Efficient Joint Optimization of Layer-Adaptive Weight Pruning in Deep Neural Networks. - Kaixin Xu; Zhe Wang 019; Xue Geng; Jie Lin 001; Min Wu 008; Xiaoli Li 001; Weisi Lin (CoRR, 2023)

CoIn: Correlation Induced Clustering for Cognition of High Dimensional Bioinformatics Data. - Zeng Zeng; Ziyuan Zhao; Kaixin Xu; Yangfan Li; Cen Chen 002; Xiaofeng Zou; Yulan Wang; Wei Wei 006; Pierce K. H. Chow; Xiao-Li Li 001 (IEEE J. Biomed. Health Informatics, 2023)

Transition-Dependent Bumpless Transfer Control Synthesis of Switched Linear Systems. - Lixian Zhang; Kaixin Xu; Jianan Yang; Minghao Han; Shuai Yuan 001 (IEEE Trans. Autom. Control., 2023)

LE-UDA: Label-Efficient Unsupervised Domain Adaptation for Medical Image Segmentation. - Ziyuan Zhao; Fangcheng Zhou; Kaixin Xu; Zeng Zeng; Cuntai Guan; S. Kevin Zhou (IEEE Trans. Medical Imaging, 2023)

MMPrune4U: Regularizing Multimodal Feature Distortion in Weight Pruning for Deep Neural Network Compression. - Sudip Das; Kaixin Xu; Nushrat Hussain; Ziyuan Zhao; Arindam Das; Weisi Lin; Ujjwal Bhattacharya (BMVC, 2024)

Q-Instruct: Improving Low-Level Visual Abilities for Multi-Modality Foundation Models. - Haoning Wu 001; Zicheng Zhang; Erli Zhang 001; Chaofeng Chen; Liang Liao; Annan Wang; Kaixin Xu; Chunyi Li; Jingwen Hou; Guangtao Zhai; Geng Xue; Wenxiu Sun; et al. (CVPR, 2024)

LPViT: Low-Power Semi-structured Pruning for Vision Transformers. - Kaixin Xu; Zhe Wang 019; Chunyun Chen; Xue Geng; Jie Lin 001; Xulei Yang; Min Wu 008; Xiaoli Li 001; Weisi Lin (ECCV (71), 2024)

Multi-dataset Collaborative Learning for Liver Tumor Segmentation. - Ziyuan Zhao; Renjun Cai; Kaixin Xu; Zhengji Liu; Xulei Yang; Jun Cheng 003; Cuntai Guan (EMBC, 2024)

Efficient and smooth robust model predictive control for stochastic switching systems. - Tong Wu 013; Lixian Zhang; Shengao Lu; Weiming Che; Kaixin Xu (Autom., 2024)

From Algorithm to Hardware: A Survey on Efficient and Safe Deployment of Deep Neural Networks. - Xue Geng; Zhe Wang 019; Chunyun Chen; Qing Xu 015; Kaixin Xu; Chao Jin 002; Manas Gupta; Xulei Yang; Zhenghua Chen; Mohamed M. Sabry Aly; Jie Lin 001; Min Wu 008; et al. (CoRR, 2024)

DM3D: Distortion-Minimized Weight Pruning for Lossless 3D Object Detection. - Kaixin Xu; Qingtian Feng; Hao Chen; Zhe Wang 019; Xue Geng; Xulei Yang; Min Wu 008; Xiaoli Li 001; Weisi Lin (CoRR, 2024)

Research on the Algorithm of Position Correction for High-Speed Moving Express Packages Based on Traditional Vision and AI Vision. - Ning Dai; Zhehao Lu; Jingchao Chen; Kaixin Xu; Xudong Hu; Yanhong Yuan (Sensors, 2024)

Global Graph Propagation with Hierarchical Information Transfer for Incomplete Contrastive Multi-view Clustering. - Guoqing Chao; Kaixin Xu; Xijiong Xie; Yongyong Chen (AAAI, 2025)

From Algorithm to Hardware: A Survey on Efficient and Safe Deployment of Deep Neural Networks. - Xue Geng; Zhe Wang 019; Chunyun Chen; Qing Xu 015; Kaixin Xu; Jin Chao; Manas Gupta; Xulei Yang; Zhenghua Chen; Mohamed M. Sabry Aly; Jie Lin 001; Min Wu 008; et al. (IEEE Trans. Neural Networks Learn. Syst., 2025)

A Spatial-Physics Informed Model for 3D Spiral Sample Scanned by SQUID Microscopy. - J. Senthilnath 001; Jayasanker Jayabalan; Zhuoyi Lin; Aye Phyu Phyu Aung; Chen Hao; Kaixin Xu; Yeow Kheng Lim; F. C. Wellstood (CoRR, 2025)