Kaixin Xu

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 31

Top Topics

Active Learning

Lesion Segmentation

Medical Image Segmentation

Top Venues

IEEE J. Biomed. Health Informatics

Publications

Kaixin Xu, Zhe Wang, Chunyun Chen, Xue Geng, Jie Lin, Xulei Yang, Min Wu, Xiaoli Li, Weisi Lin
LPViT: Low-Power Semi-structured Pruning for Vision Transformers. CoRR (2024)
Tong Wu, Lixian Zhang, Shengao Lu, Weiming Che, Kaixin Xu
Efficient and smooth robust model predictive control for stochastic switching systems. Autom. 163 (2024)
Xue Geng, Zhe Wang, Chunyun Chen, Qing Xu, Kaixin Xu, Chao Jin, Manas Gupta, Xulei Yang, Zhenghua Chen, Mohamed M. Sabry Aly, Jie Lin, Min Wu, Xiaoli Li
From Algorithm to Hardware: A Survey on Efficient and Safe Deployment of Deep Neural Networks. CoRR (2024)
Kaixin Xu, Qingtian Feng, Hao Chen, Zhe Wang, Xue Geng, Xulei Yang, Min Wu, Xiaoli Li, Weisi Lin
DM3D: Distortion-Minimized Weight Pruning for Lossless 3D Object Detection. CoRR (2024)
Ning Dai, Zhehao Lu, Jingchao Chen, Kaixin Xu, Xudong Hu, Yanhong Yuan
Research on the Algorithm of Position Correction for High-Speed Moving Express Packages Based on Traditional Vision and AI Vision. Sensors 24 (3) (2024)
Kaixin Xu, Zhe Wang, Xue Geng, Min Wu, Xiaoli Li, Weisi Lin
Efficient Joint Optimization of Layer-Adaptive Weight Pruning in Deep Neural Networks. ICCV (2023)
Qian Wu, Ruixuan Xiao, Kaixin Xu, Jingcheng Ni, Boxun Li, Ziyao Xu
GaitFormer: Revisiting Intrinsic Periodicity for Gait Recognition. CoRR (2023)
Lixian Zhang, Kaixin Xu, Jianan Yang, Minghao Han, Shuai Yuan
Transition-Dependent Bumpless Transfer Control Synthesis of Switched Linear Systems. IEEE Trans. Autom. Control. 68 (3) (2023)
Ziyuan Zhao, Fangcheng Zhou, Kaixin Xu, Zeng Zeng, Cuntai Guan, S. Kevin Zhou
LE-UDA: Label-Efficient Unsupervised Domain Adaptation for Medical Image Segmentation. IEEE Trans. Medical Imaging 42 (3) (2023)
Kaixin Xu, Alina Hui Xiu Lee, Ziyuan Zhao, Zhe Wang, Min Wu, Weisi Lin
MetaGrad: Adaptive Gradient Quantization with Hypernetworks. CoRR (2023)
Ziyuan Zhao, Kaixin Xu, Huai Zhe Yeo, Xulei Yang, Cuntai Guan
MS-MT: Multi-Scale Mean Teacher with Contrastive Unpaired Translation for Cross-Modality Vestibular Schwannoma and Cochlea Segmentation. CoRR (2023)
Kaixin Xu, Zhe Wang, Xue Geng, Jie Lin, Min Wu, Xiaoli Li, Weisi Lin
Efficient Joint Optimization of Layer-Adaptive Weight Pruning in Deep Neural Networks. CoRR (2023)
Haoning Wu, Zicheng Zhang, Erli Zhang, Chaofeng Chen, Liang Liao, Annan Wang, Kaixin Xu, Chunyi Li, Jingwen Hou, Guangtao Zhai, Geng Xue, Wenxiu Sun, Qiong Yan, Weisi Lin
Q-Instruct: Improving Low-level Visual Abilities for Multi-modality Foundation Models. CoRR (2023)
Bo Cai, Kaixin Xu, Shengao Lu, Ye Liang, Lixian Zhang
Analysis and Synthesis of Switched Linear Systems with Random Mode-Dependent Sojourn-Time. CDC (2023)
Zeng Zeng, Ziyuan Zhao, Kaixin Xu, Yangfan Li, Cen Chen, Xiaofeng Zou, Yulan Wang, Wei Wei, Pierce K. H. Chow, Xiao-Li Li
CoIn: Correlation Induced Clustering for Cognition of High Dimensional Bioinformatics Data. IEEE J. Biomed. Health Informatics 27 (2) (2023)
Kaixin Xu, Alina Hui Xiu Lee, Ziyuan Zhao, Zhe Wang, Min Wu, Weisi Lin
Metagrad: Adaptive Gradient Quantization with Hypernetworks. ICIP (2023)
Kaixin Xu, Liyang Liu, Ziyuan Zhao, Zeng Zeng, Bharadwaj Veeravalli
Object-Aware Self-supervised Multi-Label Learning. CoRR (2022)
Ziyuan Zhao, Kaixin Xu, Shumeng Li, Zeng Zeng, Cuntai Guan
MT-UDA: Towards Unsupervised Cross-modality Medical Image Segmentation with Limited Source Labels. CoRR (2022)
Ziyuan Zhao, Wenjing Lu, Zeng Zeng, Kaixin Xu, Bharadwaj Veeravalli, Cuntai Guan
Self-supervised Assisted Active Learning for Skin Lesion Segmentation. CoRR (2022)
Ziyuan Zhao, Fangcheng Zhou, Kaixin Xu, Zeng Zeng, Cuntai Guan, S. Kevin Zhou
LE-UDA: Label-efficient unsupervised domain adaptation for medical image segmentation. CoRR (2022)
Kaixin Xu, Liyang Liu, Ziyuan Zhao, Zeng Zeng, Bharadwaj Veeravalli
Object-Aware Self-Supervised Multi-Label Learning. ICIP (2022)
Jun Cheng, Yunqing Lin, Linfu Xu, Kechen Chen, Qi Li, Kaixin Xu, Lin Ning, Juanjuan Kang, Tianyu Cui, Yan Huang, Xiaoyang Zhao, Dong Wang, Yanhui Li, Xi Su, Bin Yang
ViRBase v3.0: a virus and host ncRNA-associated interaction repository with increased coverage and annotation. Nucleic Acids Res. 50 (D1) (2022)
Ziyuan Zhao, Kaixin Xu, Huai Zhe Yeo, Xulei Yang, Cuntai Guan
MS-MT: Multi-scale Mean Teacher with Contrastive Unpaired Translation for Cross-Modality Vestibular Schwannoma and Cochlea Segmentation. BrainLes@MICCAI (2) (2022)
Ziyuan Zhao, Wenjing Lu, Zeng Zeng, Kaixin Xu, Bharadwaj Veeravalli, Cuntai Guan
Self-supervised Assisted Active Learning for Skin Lesion Segmentation. EMBC (2022)
Shumeng Li, Ziyuan Zhao, Kaixin Xu, Zeng Zeng, Cuntai Guan
Hierarchical Consistency Regularized Mean Teacher for Semi-supervised 3D Left Atrium Segmentation. EMBC (2021)
Ziyuan Zhao, Zeng Zeng, Kaixin Xu, Cen Chen, Cuntai Guan
DSAL: Deeply Supervised Active Learning From Strong and Weak Labelers for Biomedical Image Segmentation. IEEE J. Biomed. Health Informatics 25 (10) (2021)
Ziyuan Zhao, Zeng Zeng, Kaixin Xu, Cen Chen, Cuntai Guan
DSAL: Deeply Supervised Active Learning from Strong and Weak Labelers for Biomedical Image Segmentation. CoRR (2021)
Ziyuan Zhao, Kaixin Xu, Shumeng Li, Zeng Zeng, Cuntai Guan
MT-UDA: Towards Unsupervised Cross-modality Medical Image Segmentation with Limited Source Labels. MICCAI (1) (2021)
Shumeng Li, Ziyuan Zhao, Kaixin Xu, Zeng Zeng, Cuntai Guan
Hierarchical Consistency Regularized Mean Teacher for Semi-supervised 3D Left Atrium Segmentation. CoRR (2021)
Kaixin Xu, Ziyuan Zhao, Jiapan Gu, Zeng Zeng, Chan Wan Ying, Lim Kheng Choon, Thng Choon Hua, Pierce K. H. Chow
Multi-Instance Multi-Label Learning for Gene Mutation Prediction in Hepatocellular Carcinoma. EMBC (2020)
Kaixin Xu, Ziyuan Zhao, Jiapan Gu, Zeng Zeng, Chan Wan Ying, Lim Kheng Choon, Thng Choon Hua, Pierce K. H. Chow
Multi-Instance Multi-Label Learning for Gene Mutation Prediction in Hepatocellular Carcinoma. CoRR (2020)
Yeng-Zhong Lee, Jason Chen, Xiaoyan Hong, Kaixin Xu, Teresa Maria Breyer, Mario Gerla
Experimental evaluation of LANMAR, a scalable ad-hoc routing protocol. WCNC (2005)
Kaixin Xu, Mario Gerla, Lantao Qi, Yantai Shu
TCP Unfairness in Ad Hoc Wireless Networks and a Neighborhood RED Solution. Wirel. Networks 11 (4) (2005)
Yeng-Zhong Lee, Kaixin Xu, Xiaoyan Hong, Mario Gerla
Hybrid landmark routing in ad hoc networks with heterogeneous group mobility. ISWCS (2005)
Haejung Lim, Kaixin Xu, Mario Gerla
TCP performance over multipath routing in mobile ad hoc networks. ICC (2003)
Kaixin Xu, Mario Gerla, Lantao Qi, Yantai Shu
Enhancing TCP fairness in ad hoc wireless networks using neighborhood RED. MobiCom (2003)
Kaixin Xu, Mario Gerla, Sang Bae
Effectiveness of RTS/CTS handshake in IEEE 802.11 based ad hoc networks. Ad Hoc Networks 1 (1) (2003)
Mario Gerla, Kaixin Xu
Multimedia streaming in large-scale sensor networks with mobile swarms. SIGMOD Rec. 32 (4) (2003)
Kaixin Xu, Xiaoyan Hong, Mario Gerla
Landmark routing in ad hoc networks with mobile backbones. J. Parallel Distributed Comput. 63 (2) (2003)
Xiaoyan Hong, Mario Gerla, Yunjung Yi, Kaixin Xu, Taek Jin Kwon
Scalable ad hoc routing in large, dense wireless networks using clustering and landmarks. ICC (2002)
Kaixin Xu, Mario Gerla, Sang Bae
How effective is the IEEE 802.11 RTS/CTS handshake in ad hoc networks. GLOBECOM (2002)
Xiaoyan Hong, Kaixin Xu, Mario Gerla
Scalable routing protocols for mobile ad hoc networks. IEEE Netw. 16 (4) (2002)
Kaixin Xu, Sang Bae, Sungwook Lee, Mario Gerla
TCP behavior across multihop wireless networks and the wired internet. WOWMOM (2002)
Sang Bae, Kaixin Xu, Sungwook Lee, Mario Gerla
Measured analysis of TCP behavior across multihop wireless and wired networks. GLOBECOM (2002)
Kaixin Xu, Xiaoyan Hong, Mario Gerla
An ad hoc network with mobile backbones. ICC (2002)
Jiejun Kong, Haiyun Luo, Kaixin Xu, Daniel Lihui Gu, Mario Gerla, Songwu Lu
Adaptive security for multilevel ad hoc networks. Wirel. Commun. Mob. Comput. 2 (5) (2002)
Kaixin Xu, Mineo Takai, Jay Martin, Rajive L. Bagrodia
Looking ahead of real time in Hybrid component networks. Workshop on Parallel and Distributed Simulation (2001)
Thomas Phan, Kaixin Xu, Richard G. Guy, Rajive L. Bagrodia
Handoff of application sessions across time and space. ICC (2001)