| 2023 | Label Specific Multi-Semantics Metric Learning for Multi-Label Classification: Global Consideration Helps. | Junxiang Mao, Wei Wang, Min-Ling Zhang |
| 2023 | Invertible Residual Neural Networks with Conditional Injector and Interpolator for Point Cloud Upsampling. | Aihua Mao, Yaqi Duan, Yu-Hui Wen, Zihui Du, Hongmin Cai, Yong-Jin Liu |
| 2023 | Mean-Semivariance Policy Optimization via Risk-Averse Reinforcement Learning (Extended Abstract). | Xiaoteng Ma, Shuai Ma, Li Xia, Qianchuan Zhao |
| 2023 | Fighting against Organized Fraudsters Using Risk Diffusion-based Parallel Graph Neural Network. | Jiacheng Ma, Fan Li, Rui Zhang, Zhikang Xu, Dawei Cheng, Yi Ouyang, Ruihui Zhao, Jianguang Zheng, Yefeng Zheng, Changjun Jiang |
| 2023 | CTW: Confident Time-Warping for Time-Series Label-Noise Learning. | Peitian Ma, Zhen Liu, Junhao Zheng, Linghao Wang, Qianli Ma |
| 2023 | Planning Multiple Epidemic Interventions with Reinforcement Learning. | Anh L. Mai, Nikunj Gupta, Azza Abouzied, Dennis E. Shasha |
| 2023 | Explanation-Guided Reward Alignment. | Saaduddin Mahmud, Sandhya Saisubramanian, Shlomo Zilberstein |
| 2023 | Multi-View Robust Graph Representation Learning for Graph Classification. | Guanghui Ma, Chunming Hu, Ling Ge, Hong Zhang |
| 2023 | Semantic-Aware Generation of Multi-View Portrait Drawings. | Biao Ma, Fei Gao, Chang Jiang, Nannan Wang, Gang Xu |
| 2023 | Fair Division of a Graph into Compact Bundles. | Jayakrishnan Madathil |
| 2023 | Capturing the Long-Distance Dependency in the Control Flow Graph via Structural-Guided Attention for Bug Localization. | Yi-Fan Ma, Yali Du, Ming Li |
| 2023 | A Prediction-and-Scheduling Framework for Efficient Order Transfer in Logistics. | Wenjun Lyu, Haotian Wang, Yiwei Song, Yunhuai Liu, Tian He, Desheng Zhang |
| 2023 | Recognizable Information Bottleneck. | Yilin Lyu, Xin Liu, Mingyang Song, Xinyue Wang, Yaxin Peng, Tieyong Zeng, Liping Jing |
| 2023 | A Pathway Towards Responsible AI Generated Content. | Lingjuan Lyu |
| 2023 | Non-Lambertian Multispectral Photometric Stereo via Spectral Reflectance Decomposition. | Jipeng Lv, Heng Guo, Guanying Chen, Jinxiu Liang, Boxin Shi |
| 2023 | Group Sparse Optimal Transport for Sparse Process Flexibility Design. | Dixin Luo, Tingting Yu, Hongteng Xu |
| 2023 | Coupled Point Process-based Sequence Modeling for Privacy-preserving Network Alignment. | Dixin Luo, Haoran Cheng, Qingbin Li, Hongteng Xu |
| 2023 | Dynamic Group Link Prediction in Continuous-Time Interaction Network. | Shijie Luo, He Li, Jianbin Huang |
| 2023 | Label Enhancement via Joint Implicit Representation Clustering. | Yunan Lu, Weiwei Li, Xiuyi Jia |
| 2023 | Strategic Adversarial Attacks in AI-assisted Decision Making to Reduce Human Trust and Reliance. | Zhuoran Lu, Zhuoyan Li, Chun-Wei Chiang, Ming Yin |
| 2023 | Continuous-Time Graph Learning for Cascade Popularity Prediction. | Xiaodong Lu, Shuo Ji, Le Yu, Leilei Sun, Bowen Du, Tongyu Zhu |
| 2023 | Meta-Tsallis-Entropy Minimization: A New Self-Training Approach for Domain Adaptation on Text Classification. | Menglong Lu, Zhen Huang, Zhiliang Tian, Yunxiang Zhao, Xuanyu Fei, Dongsheng Li |
| 2023 | GreenFlow: A Computation Allocation Framework for Building Environmentally Sound Recommendation System. | Xingyu Lu, Zhining Liu, Yanchu Guan, Hongxuan Zhang, Chenyi Zhuang, Wenqi Ma, Yize Tan, Jinjie Gu, Guannan Zhang |
| 2023 | A Rule-Based Modal View of Causal Reasoning. | Emiliano Lorini |
| 2023 | A Hierarchical Approach to Population Training for Human-AI Collaboration. | Yi Loo, Chen Gong, Malika Meghjani |