Kaixin Xu

66 papers A* 5A 1B 5C 1Journal 38Unranked 16
YearRankTypeTitle / Venue / Authors
2026 J jnl
A unified framework for switched systems with smooth transfer of both control input and state.
Autom.
Shengao Lu, Lixian Zhang, Guangzhou Xiao, Kaixin Xu, Jianan Yang
2026 A* conf
Dynamic Deep Graph Learning for Incomplete Multi-View Clustering with Masked Graph Reconstruction Loss.
AAAI
Zhenghao Zhang, Jun Xie, Xingchen Chen, Tao Yu, Hongzhu Yi, Kaixin Xu, Yuanxiang Wang, Tianyu Zong, Xinming Wang, Jiahuan Chen, Guoqing Chao, Feng Chen, Zhepeng Wang, Jungang Xu
2026 J jnl
Ego to World: Collaborative Spatial Reasoning in Embodied Systems via Reinforcement Learning.
CoRR
Heng Zhou, Li Kang, Yiran Qin, Xiufeng Song, Ao Yu, Zilu Zhang, Haoming Song, Kaixin Xu, Yuchen Fan, Dongzhan Zhou, Xiaohong Liu, Ruimao Zhang, Philip Torr, Lei Bai, Zhenfei Yin
2026 J jnl
Observer-Based Control for Switched Systems With Limited Statistical Information.
IEEE Trans. Syst. Man Cybern. Syst.
Bo Cai, Kaixin Xu, Yihang Ding, Lixian Zhang, Yiming Wang
2026 J jnl
RPO:Reinforcement Fine-Tuning with Partial Reasoning Optimization.
CoRR
Hongzhu Yi, Xinming Wang, Zhenghao Zhang, Tianyu Zong, Yuanxiang Wang, Jun Xie, Tao Yu, Haopeng Jin, Kaixin Xu, Feng Chen, Jiahuan Chen, Yujia Yang, Zhenyu Guan, Bingkang Shi, Jungang Xu
2025 J jnl
A Spatial-Physics Informed Model for 3D Spiral Sample Scanned by SQUID Microscopy.
CoRR
J. Senthilnath, Jayasanker Jayabalan, Zhuoyi Lin, Aye Phyu Phyu Aung, Chen Hao, Kaixin Xu, Yeow Kheng Lim, F. C. Wellstood
2025 — conf
Dual Structure-guided Contrastive Network for Incomplete Multi-view Partial Multi-label Classification.
KDD (2)
Kaixin Xu, Yangyang Wu, Shijun Wu, Xiaoye Miao, Guoqing Chao, Mengying Zhu, Meng Xi, Xinkui Zhao
2025 J jnl
Dynamic Deep Graph Learning for Incomplete Multi-View Clustering with Masked Graph Reconstruction Loss.
CoRR
Zhenghao Zhang, Jun Xie, Xingchen Chen, Tao Yu, Hongzhu Yi, Kaixin Xu, Yuanxiang Wang, Tianyu Zong, Xinming Wang, Jiahuan Chen, Guoqing Chao, Feng Chen, Zhepeng Wang, Jungang Xu
2025 J jnl
Efficient Distortion-Minimized Layerwise Pruning.
IEEE Trans. Pattern Anal. Mach. Intell.
Kaixin Xu, Zhe Wang, Runtao Huang, Xue Geng, Jie Lin, XuLei Yang, Min Wu, Xiaoli Li, Weisi Lin
2025 J jnl
From Algorithm to Hardware: A Survey on Efficient and Safe Deployment of Deep Neural Networks.
IEEE Trans. Neural Networks Learn. Syst.
Xue Geng, Zhe Wang, Chunyun Chen, Qing Xu, Kaixin Xu, Jin Chao, Manas Gupta, XuLei Yang, Zhenghua Chen, Mohamed M. Sabry Aly, Jie Lin, Min Wu, Xiaoli Li
2025 A* conf
Global Graph Propagation with Hierarchical Information Transfer for Incomplete Contrastive Multi-view Clustering.
AAAI
Guoqing Chao, Kaixin Xu, Xijiong Xie, Yongyong Chen
2025 J jnl
Global Graph Propagation with Hierarchical Information Transfer for Incomplete Contrastive Multi-view Clustering.
CoRR
Guoqing Chao, Kaixin Xu, Xijiong Xie, Yongyong Chen
2025 J jnl
Learning Primitive Embodied World Models: Towards Scalable Robotic Learning.
CoRR
Qiao Sun, Liujia Yang, Wei Tang, Wei Huang, Kaixin Xu, Yongchao Chen, Mingyu Liu, Jiange Yang, Haoyi Zhu, Yating Wang, Tong He, Yilun Chen, Xili Dai, Nanyang Ye, Qinying Gu
2024 J jnl
DM3D: Distortion-Minimized Weight Pruning for Lossless 3D Object Detection.
CoRR
Kaixin Xu, Qingtian Feng, Hao Chen, Zhe Wang, Xue Geng, XuLei Yang, Min Wu, Xiaoli Li, Weisi Lin
2024 J jnl
Efficient and smooth robust model predictive control for stochastic switching systems.
Autom.
Tong Wu, Lixian Zhang, Shengao Lu, Weiming Che, Kaixin Xu
2024 J jnl
From Algorithm to Hardware: A Survey on Efficient and Safe Deployment of Deep Neural Networks.
CoRR
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
2024 — conf
LPViT: Low-Power Semi-structured Pruning for Vision Transformers.
ECCV (71)
Kaixin Xu, Zhe Wang, Chunyun Chen, Xue Geng, Jie Lin, XuLei Yang, Min Wu, Xiaoli Li, Weisi Lin
2024 J jnl
LPViT: Low-Power Semi-structured Pruning for Vision Transformers.
CoRR
Kaixin Xu, Zhe Wang, Chunyun Chen, Xue Geng, Jie Lin, XuLei Yang, Min Wu, Xiaoli Li, Weisi Lin
2024 A conf
MMPrune4U: Regularizing Multimodal Feature Distortion in Weight Pruning for Deep Neural Network Compression.
BMVC
Sudip Das, Kaixin Xu, Nushrat Hussain, Ziyuan Zhao, Arindam Das, Weisi Lin, Ujjwal Bhattacharya
2024 — conf
Multi-dataset Collaborative Learning for Liver Tumor Segmentation.
EMBC
Ziyuan Zhao, Renjun Cai, Kaixin Xu, Zhengji Liu, XuLei Yang, Jun Cheng, Cuntai Guan
2024 A* conf
Q-Instruct: Improving Low-Level Visual Abilities for Multi-Modality Foundation Models.
CVPR
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
2024 J jnl
Research on the Algorithm of Position Correction for High-Speed Moving Express Packages Based on Traditional Vision and AI Vision.
Sensors
Ning Dai, Zhehao Lu, Jingchao Chen, Kaixin Xu, Xudong Hu, Yanhong Yuan
2023 — conf
Analysis and Synthesis of Switched Linear Systems with Random Mode-Dependent Sojourn-Time.
CDC
Bo Cai, Kaixin Xu, Shengao Lu, Ye Liang, Lixian Zhang
2023 J jnl
CoIn: Correlation Induced Clustering for Cognition of High Dimensional Bioinformatics Data.
IEEE J. Biomed. Health Informatics
Zeng Zeng, Ziyuan Zhao, Kaixin Xu, Yangfan Li, Cen Chen, Xiaofeng Zou, Yulan Wang, Wei Wei, Pierce K. H. Chow, Xiao-Li Li
2023 A* conf
Efficient Joint Optimization of Layer-Adaptive Weight Pruning in Deep Neural Networks.
ICCV
Kaixin Xu, Zhe Wang, Xue Geng, Min Wu, Xiaoli Li, Weisi Lin
2023 J jnl
Efficient Joint Optimization of Layer-Adaptive Weight Pruning in Deep Neural Networks.
CoRR
Kaixin Xu, Zhe Wang, Xue Geng, Jie Lin, Min Wu, Xiaoli Li, Weisi Lin
2023 J jnl
GaitFormer: Revisiting Intrinsic Periodicity for Gait Recognition.
CoRR
Qian Wu, Ruixuan Xiao, Kaixin Xu, Jingcheng Ni, Boxun Li, Ziyao Xu
2023 J jnl
LE-UDA: Label-Efficient Unsupervised Domain Adaptation for Medical Image Segmentation.
IEEE Trans. Medical Imaging
Ziyuan Zhao, Fangcheng Zhou, Kaixin Xu, Zeng Zeng, Cuntai Guan, S. Kevin Zhou
2023 — conf
MS-MT++: Enhanced Multi-scale Mean Teacher for Cross-Modality Vestibular Schwannoma and Cochlea Segmentation.
BraTS/CrossMoDA@MICCAI
Ziyuan Zhao, Ruikai Lin, Kaixin Xu, XuLei Yang, Cuntai Guan
2023 J jnl
MS-MT: Multi-Scale Mean Teacher with Contrastive Unpaired Translation for Cross-Modality Vestibular Schwannoma and Cochlea Segmentation.
CoRR
Ziyuan Zhao, Kaixin Xu, Huai Zhe Yeo, XuLei Yang, Cuntai Guan
2023 J jnl
MetaGrad: Adaptive Gradient Quantization with Hypernetworks.
CoRR
Kaixin Xu, Alina Hui Xiu Lee, Ziyuan Zhao, Zhe Wang, Min Wu, Weisi Lin
2023 B conf
Metagrad: Adaptive Gradient Quantization with Hypernetworks.
ICIP
Kaixin Xu, Alina Hui Xiu Lee, Ziyuan Zhao, Zhe Wang, Min Wu, Weisi Lin
2023 J jnl
Q-Instruct: Improving Low-level Visual Abilities for Multi-modality Foundation Models.
CoRR
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
2023 J jnl
Transition-Dependent Bumpless Transfer Control Synthesis of Switched Linear Systems.
IEEE Trans. Autom. Control.
Lixian Zhang, Kaixin Xu, Jianan Yang, Minghao Han, Shuai Yuan
2022 J jnl
LE-UDA: Label-efficient unsupervised domain adaptation for medical image segmentation.
CoRR
Ziyuan Zhao, Fangcheng Zhou, Kaixin Xu, Zeng Zeng, Cuntai Guan, S. Kevin Zhou
2022 — conf
MS-MT: Multi-scale Mean Teacher with Contrastive Unpaired Translation for Cross-Modality Vestibular Schwannoma and Cochlea Segmentation.
BrainLes@MICCAI (2)
Ziyuan Zhao, Kaixin Xu, Huai Zhe Yeo, XuLei Yang, Cuntai Guan
2022 J jnl
MT-UDA: Towards Unsupervised Cross-modality Medical Image Segmentation with Limited Source Labels.
CoRR
Ziyuan Zhao, Kaixin Xu, Shumeng Li, Zeng Zeng, Cuntai Guan
2022 B conf
Object-Aware Self-Supervised Multi-Label Learning.
ICIP
Kaixin Xu, Liyang Liu, Ziyuan Zhao, Zeng Zeng, Bharadwaj Veeravalli
2022 J jnl
Object-Aware Self-supervised Multi-Label Learning.
CoRR
Kaixin Xu, Liyang Liu, Ziyuan Zhao, Zeng Zeng, Bharadwaj Veeravalli
2022 — conf
Self-supervised Assisted Active Learning for Skin Lesion Segmentation.
EMBC
Ziyuan Zhao, Wenjing Lu, Zeng Zeng, Kaixin Xu, Bharadwaj Veeravalli, Cuntai Guan
2022 J jnl
Self-supervised Assisted Active Learning for Skin Lesion Segmentation.
CoRR
Ziyuan Zhao, Wenjing Lu, Zeng Zeng, Kaixin Xu, Bharadwaj Veeravalli, Cuntai Guan
2022 J jnl
ViRBase v3.0: a virus and host ncRNA-associated interaction repository with increased coverage and annotation.
Nucleic Acids Res.
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
2021 J jnl
DSAL: Deeply Supervised Active Learning From Strong and Weak Labelers for Biomedical Image Segmentation.
IEEE J. Biomed. Health Informatics
Ziyuan Zhao, Zeng Zeng, Kaixin Xu, Cen Chen, Cuntai Guan
2021 J jnl
DSAL: Deeply Supervised Active Learning from Strong and Weak Labelers for Biomedical Image Segmentation.
CoRR
Ziyuan Zhao, Zeng Zeng, Kaixin Xu, Cen Chen, Cuntai Guan
2021 — conf
Hierarchical Consistency Regularized Mean Teacher for Semi-supervised 3D Left Atrium Segmentation.
EMBC
Shumeng Li, Ziyuan Zhao, Kaixin Xu, Zeng Zeng, Cuntai Guan
2021 J jnl
Hierarchical Consistency Regularized Mean Teacher for Semi-supervised 3D Left Atrium Segmentation.
CoRR
Shumeng Li, Ziyuan Zhao, Kaixin Xu, Zeng Zeng, Cuntai Guan
2021 — conf
MT-UDA: Towards Unsupervised Cross-modality Medical Image Segmentation with Limited Source Labels.
MICCAI (1)
Ziyuan Zhao, Kaixin Xu, Shumeng Li, Zeng Zeng, Cuntai Guan
2020 — conf
Multi-Instance Multi-Label Learning for Gene Mutation Prediction in Hepatocellular Carcinoma.
EMBC
Kaixin Xu, Ziyuan Zhao, Jiapan Gu, Zeng Zeng, Chan Wan Ying, Lim Kheng Choon, Thng Choon Hua, Pierce K. H. Chow
2020 J jnl
Multi-Instance Multi-Label Learning for Gene Mutation Prediction in Hepatocellular Carcinoma.
CoRR
Kaixin Xu, Ziyuan Zhao, Jiapan Gu, Zeng Zeng, Chan Wan Ying, Lim Kheng Choon, Thng Choon Hua, Pierce K. H. Chow
2005 B conf
Experimental evaluation of LANMAR, a scalable ad-hoc routing protocol.
WCNC
Yeng-Zhong Lee, Jason Chen, Xiaoyan Hong, Kaixin Xu, Teresa Maria Breyer, Mario Gerla
2005 — conf
Hybrid landmark routing in ad hoc networks with heterogeneous group mobility.
ISWCS
Yeng-Zhong Lee, Kaixin Xu, Xiaoyan Hong, Mario Gerla
2005 J jnl
TCP Unfairness in Ad Hoc Wireless Networks and a Neighborhood RED Solution.
Wirel. Networks
Kaixin Xu, Mario Gerla, Lantao Qi, Yantai Shu
2003 J jnl
Effectiveness of RTS/CTS handshake in IEEE 802.11 based ad hoc networks.
Ad Hoc Networks
Kaixin Xu, Mario Gerla, Sang Bae
2003 A* conf
Enhancing TCP fairness in ad hoc wireless networks using neighborhood RED.
MobiCom
Kaixin Xu, Mario Gerla, Lantao Qi, Yantai Shu
2003 J jnl
Landmark routing in ad hoc networks with mobile backbones.
J. Parallel Distributed Comput.
Kaixin Xu, Xiaoyan Hong, Mario Gerla
2003 J jnl
Multimedia streaming in large-scale sensor networks with mobile swarms.
SIGMOD Rec.
Mario Gerla, Kaixin Xu
2003 — conf
TCP performance over multipath routing in mobile ad hoc networks.
ICC
Haejung Lim, Kaixin Xu, Mario Gerla
2002 J jnl
Adaptive security for multilevel ad hoc networks.
Wirel. Commun. Mob. Comput.
Jiejun Kong, Haiyun Luo, Kaixin Xu, Daniel Lihui Gu, Mario Gerla, Songwu Lu
2002 — conf
An ad hoc network with mobile backbones.
ICC
Kaixin Xu, Xiaoyan Hong, Mario Gerla
2002 B conf
How effective is the IEEE 802.11 RTS/CTS handshake in ad hoc networks.
GLOBECOM
Kaixin Xu, Mario Gerla, Sang Bae
2002 B conf
Measured analysis of TCP behavior across multihop wireless and wired networks.
GLOBECOM
Sang Bae, Kaixin Xu, Sungwook Lee, Mario Gerla
2002 — conf
Scalable ad hoc routing in large, dense wireless networks using clustering and landmarks.
ICC
Xiaoyan Hong, Mario Gerla, Yunjung Yi, Kaixin Xu, Taek Jin Kwon
2002 J jnl
Scalable routing protocols for mobile ad hoc networks.
IEEE Netw.
Xiaoyan Hong, Kaixin Xu, Mario Gerla
2002 C conf
TCP behavior across multihop wireless networks and the wired internet.
WOWMOM
Kaixin Xu, Sang Bae, Sungwook Lee, Mario Gerla
2001 — conf
Handoff of application sessions across time and space.
ICC
Thomas Phan, Kaixin Xu, Richard G. Guy, Rajive L. Bagrodia
2001 — conf
Looking ahead of real time in Hybrid component networks.
Workshop on Parallel and Distributed Simulation
Kaixin Xu, Mineo Takai, Jay Martin, Rajive L. Bagrodia