| 2023 | Approximating Fair Division on D-Claw-Free Graphs. | Zbigniew Lonc |
| 2023 | Complete Instances Mining for Weakly Supervised Instance Segmentation. | Zecheng Li, Zening Zeng, Yuqi Liang, Jin-Gang Yu |
| 2023 | VS-Boost: Boosting Visual-Semantic Association for Generalized Zero-Shot Learning. | Xiaofan Li, Yachao Zhang, Shiran Bian, Yanyun Qu, Yuan Xie, Zhongchao Shi, Jianping Fan |
| 2023 | U-Match: Two-view Correspondence Learning with Hierarchy-aware Local Context Aggregation. | Zizhuo Li, Shihua Zhang, Jiayi Ma |
| 2023 | Voice Guard: Protecting Voice Privacy with Strong and Imperceptible Adversarial Perturbation in the Time Domain. | Jingyang Li, Dengpan Ye, Long Tang, Chuanxi Chen, Shengshan Hu |
| 2023 | Locate, Refine and Restore: A Progressive Enhancement Network for Camouflaged Object Detection. | Xiaofei Li, Jiaxin Yang, Shuohao Li, Jun Lei, Jun Zhang, Dong Chen |
| 2023 | Annealing Genetic-based Preposition Substitution for Text Rubbish Example Generation. | Chen Li, Xinghao Yang, Baodi Liu, Weifeng Liu, Honglong Chen |
| 2023 | Confidence-based Self-Corrective Learning: An Application in Height Estimation Using Satellite LiDAR and Imagery. | Zhili Li, Yiqun Xie, Xiaowei Jia |
| 2023 | SGAT4PASS: Spherical Geometry-Aware Transformer for PAnoramic Semantic Segmentation. | Xuewei Li, Tao Wu, Zhongang Qi, Gaoang Wang, Ying Shan, Xi Li |
| 2023 | A Bitwise GAC Algorithm for Alldifferent Constraints. | Zhe Li, Yaohua Wang, Zhanshan Li |
| 2023 | Towards Lossless Head Pruning through Automatic Peer Distillation for Language Models. | Bingbing Li, Zigeng Wang, Shaoyi Huang, Mikhail A. Bragin, Ji Li, Caiwen Ding |
| 2023 | Image Composition with Depth Registration. | Zan Li, Wencheng Wang, Fei Hou |
| 2023 | Curriculum Graph Machine Learning: A Survey. | Haoyang Li, Xin Wang, Wenwu Zhu |
| 2023 | Generalization through Diversity: Improving Unsupervised Environment Design. | Wenjun Li, Pradeep Varakantham, Dexun Li |
| 2023 | APR: Online Distant Point Cloud Registration through Aggregated Point Cloud Reconstruction. | Quan Liu, Yunsong Zhou, Hongzi Zhu, Shan Chang, Minyi Guo |
| 2023 | Graph Pooling for Graph Neural Networks: Progress, Challenges, and Opportunities. | Chuang Liu, Yibing Zhan, Jia Wu, Chang Li, Bo Du, Wenbin Hu, Tongliang Liu, Dacheng Tao |
| 2023 | Towards Robust Gan-Generated Image Detection: A Multi-View Completion Representation. | Chi Liu, Tianqing Zhu, Sheng Shen, Wanlei Zhou |
| 2023 | Low-Confidence Samples Mining for Semi-supervised Object Detection. | Guandu Liu, Fangyuan Zhang, Tianxiang Pan, Jun-Hai Yong, Bin Wang |
| 2023 | Gapformer: Graph Transformer with Graph Pooling for Node Classification. | Chuang Liu, Yibing Zhan, Xueqi Ma, Liang Ding, Dapeng Tao, Jia Wu, Wenbin Hu |
| 2023 | Multi-Scale Subgraph Contrastive Learning. | Yanbei Liu, Yu Zhao, Xiao Wang, Lei Geng, Zhitao Xiao |
| 2023 | Sph2Pob: Boosting Object Detection on Spherical Images with Planar Oriented Boxes Methods. | Xinyuan Liu, Hang Xu, Bin Chen, Qiang Zhao, Yike Ma, Chenggang Yan, Feng Dai |
| 2023 | Open-world Semi-supervised Novel Class Discovery. | Jiaming Liu, Yangqiming Wang, Tongze Zhang, Yulu Fan, Qinli Yang, Junming Shao |
| 2023 | Deep Hierarchical Communication Graph in Multi-Agent Reinforcement Learning. | Zeyang Liu, Lipeng Wan, Xue Sui, Zhuoran Chen, Kewu Sun, Xuguang Lan |
| 2023 | Bayesian Optimization with Switching Cost: Regret Analysis and Lookahead Variants. | Peng Liu, Haowei Wang, Wei Qiyu |
| 2023 | Stability and Generalization of lp-Regularized Stochastic Learning for GCN. | Shiyu Liu, Linsen Wei, Shaogao Lv, Ming Li |