| 2026 | AAAI | Dynamic Deep Graph Learning for Incomplete Multi-View Clustering with Masked Graph Reconstruction Loss. | 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 | AAAI | Global Graph Propagation with Hierarchical Information Transfer for Incomplete Contrastive Multi-view Clustering. | Guoqing Chao, Kaixin Xu, Xijiong Xie, Yongyong Chen |
| 2025 | KDD | Dual Structure-guided Contrastive Network for Incomplete Multi-view Partial Multi-label Classification. | Kaixin Xu, Yangyang Wu, Shijun Wu, Xiaoye Miao, Guoqing Chao, Mengying Zhu, Meng Xi, Xinkui Zhao |
| 2024 | BMVC | 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 |
| 2024 | CVPR | Q-Instruct: Improving Low-Level Visual Abilities for Multi-Modality Foundation Models. | 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 | ECCV | LPViT: Low-Power Semi-structured Pruning for Vision Transformers. | Kaixin Xu, Zhe Wang, Chunyun Chen, Xue Geng, Jie Lin, Xulei Yang, Min Wu, Xiaoli Li, Weisi Lin |
| 2023 | ICCV | Efficient Joint Optimization of Layer-Adaptive Weight Pruning in Deep Neural Networks. | Kaixin Xu, Zhe Wang, Xue Geng, Min Wu, Xiaoli Li, Weisi Lin |
| 2023 | ICIP | Metagrad: Adaptive Gradient Quantization with Hypernetworks. | Kaixin Xu, Alina Hui Xiu Lee, Ziyuan Zhao, Zhe Wang, Min Wu, Weisi Lin |
| 2023 | MICCAI | 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 |
| 2022 | ICIP | Object-Aware Self-Supervised Multi-Label Learning. | Kaixin Xu, Liyang Liu, Ziyuan Zhao, Zeng Zeng, Bharadwaj Veeravalli |
| 2021 | MICCAI | MT-UDA: Towards Unsupervised Cross-modality Medical Image Segmentation with Limited Source Labels. | Ziyuan Zhao, Kaixin Xu, Shumeng Li, Zeng Zeng, Cuntai Guan |
| 2005 | WCNC | Experimental evaluation of LANMAR, a scalable ad-hoc routing protocol. | Yeng-Zhong Lee, Jason Chen, Xiaoyan Hong, Kaixin Xu, Teresa Maria Breyer, Mario Gerla |
| 2003 | MOBICOM | Enhancing TCP fairness in ad hoc wireless networks using neighborhood RED. | Kaixin Xu, Mario Gerla, Lantao Qi, Yantai Shu |
| 2002 | GLOBECOM | Measured analysis of TCP behavior across multihop wireless and wired networks. | Sang Bae, Kaixin Xu, Sungwook Lee, Mario Gerla |
| 2002 | GLOBECOM | How effective is the IEEE 802.11 RTS/CTS handshake in ad hoc networks. | Kaixin Xu, Mario Gerla, Sang Bae |
| 2002 | WoWMoM | TCP behavior across multihop wireless networks and the wired internet. | Kaixin Xu, Sang Bae, Sungwook Lee, Mario Gerla |
| 2001 | PADS | Looking ahead of real time in Hybrid component networks. | Kaixin Xu, Mineo Takai, Jay Martin, Rajive L. Bagrodia |