| 2023 | Geographical Cellular Traffic Prediction with Multivariate Spatio-Temporal Modeling. | ChungYi Lin, Shen-Lung Tung, Winston H. Hsu |
| 2023 | Collaborative Neural Rendering Using Anime Character Sheets. | Zuzeng Lin, Ailin Huang, Zhewei Huang |
| 2023 | Learning Survival Distribution with Implicit Survival Function. | Yu Ling, Weimin Tan, Bo Yan |
| 2023 | SupervisorBot: NLP-Annotated Real-Time Recommendations of Psychotherapy Treatment Strategies with Deep Reinforcement Learning. | Baihan Lin, Guillermo A. Cecchi, Djallel Bouneffouf |
| 2023 | DenseLight: Efficient Control for Large-scale Traffic Signals with Dense Feedback. | Junfan Lin, Yuying Zhu, Lingbo Liu, Yang Liu, Guanbin Li, Liang Lin |
| 2023 | Local-Global Transformer Enhanced Unfolding Network for Pan-sharpening. | Mingsong Li, Yikun Liu, Tao Xiao, Yuwen Huang, Gongping Yang |
| 2023 | GLPocket: A Multi-Scale Representation Learning Approach for Protein Binding Site Prediction. | Peiying Li, Yongchang Liu, Shikui Tu, Lei Xu |
| 2023 | On Efficient Transformer-Based Image Pre-training for Low-Level Vision. | Wenbo Li, Xin Lu, Shengju Qian, Jiangbo Lu |
| 2023 | Truthful Fair Mechanisms for Allocating Mixed Divisible and Indivisible Goods. | Zihao Li, Shengxin Liu, Xinhang Lu, Biaoshuai Tao |
| 2023 | Fairness via Group Contribution Matching. | Tianlin Li, Zhiming Li, Anran Li, Mengnan Du, Aishan Liu, Qing Guo, Guozhu Meng, Yang Liu |
| 2023 | A New Variable Ordering for In-processing Bounded Variable Elimination in SAT Solvers. | Shuolin Li, Chu-Min Li, Mao Luo, Jordi Coll, Djamal Habet, Felip Many |
| 2023 | Generative Flow Networks for Precise Reward-Oriented Active Learning on Graphs. | Yinchuan Li, Zhigang Li, Wenqian Li, Yunfeng Shao, Yan Zheng, Jianye Hao |
| 2023 | ALL-E: Aesthetics-guided Low-light Image Enhancement. | Ling Li, Dong Liang, Yuanhang Gao, Sheng-Jun Huang, Songcan Chen |
| 2023 | A Survey on Out-of-Distribution Evaluation of Neural NLP Models. | Xinzhe Li, Ming Liu, Shang Gao, Wray L. Buntine |
| 2023 | Towards Sharp Analysis for Distributed Learning with Random Features. | Jian Li, Yong Liu |
| 2023 | WBFlow: Few-shot White Balance for sRGB Images via Reversible Neural Flows. | Chunxiao Li, Xuejing Kang, Anlong Ming |
| 2023 | TG-VQA: Ternary Game of Video Question Answering. | Hao Li, Peng Jin, Zesen Cheng, Songyang Zhang, Kai Chen, Zhennan Wang, Chang Liu, Jie Chen |
| 2023 | iRe2f: Rethinking Effective Refinement in Language Structure Prediction via Efficient Iterative Retrospecting and Reasoning. | Zuchao Li, Xingyi Guo, Letian Peng, Lefei Zhang, Hai Zhao |
| 2023 | Contrastive Learning and Reward Smoothing for Deep Portfolio Management. | Yun-Hsuan Lien, Yuan-kui Li, Yu-Shuen Wang |
| 2023 | PowerBEV: A Powerful Yet Lightweight Framework for Instance Prediction in Bird's-Eye View. | Peizheng Li, Shuxiao Ding, Xieyuanli Chen, Niklas Hanselmann, Marius Cordts, Juergen Gall |
| 2023 | A Large-Scale Film Style Dataset for Learning Multi-frequency Driven Film Enhancement. | Zinuo Li, Xuhang Chen, Shuqiang Wang, Chi-Man Pun |
| 2023 | HyperFed: Hyperbolic Prototypes Exploration with Consistent Aggregation for Non-IID Data in Federated Learning. | Xinting Liao, Weiming Liu, Chaochao Chen, Pengyang Zhou, Huabin Zhu, Yanchao Tan, Jun Wang, Yue Qi |
| 2023 | Learnable Surrogate Gradient for Direct Training Spiking Neural Networks. | Shuang Lian, Jiangrong Shen, Qianhui Liu, Ziming Wang, Rui Yan, Huajin Tang |
| 2023 | GTR: A Grafting-Then-Reassembling Framework for Dynamic Scene Graph Generation. | Jiafeng Liang, Yuxin Wang, Zekun Wang, Ming Liu, Ruiji Fu, Zhongyuan Wang, Bing Qin |
| 2023 | Teacher Assistant-Based Knowledge Distillation Extracting Multi-level Features on Single Channel Sleep EEG. | Heng Liang, Yucheng Liu, Haichao Wang, Ziyu Jia |