| 2023 | AutoMRM: A Model Retrieval Method Based on Multimodal Query and Meta-learning. | Zhaotian Li, Binhang Qi, Hailong Sun, Xiang Gao |
| 2023 | Tight-Sketch: A High-Performance Sketch for Heavy Item-Oriented Data Stream Mining with Limited Memory Size. | Weihe Li, Paul Patras |
| 2023 | Pseudo Triplet Networks for Classification Tasks with Cross-Source Feature Incompleteness. | Cayon Liow, Cheng-Te Li, Chun-Pai Yang, Shou-De Lin |
| 2023 | Adaptation Speed Analysis for Fairness-aware Causal Models. | Yujie Lin, Chen Zhao, Minglai Shao, Xujiang Zhao, Haifeng Chen |
| 2023 | CTCam: Enhancing Transportation Evaluation through Fusion of Cellular Traffic and Camera-Based Vehicle Flows. | ChungYi Lin, Shen-Lung Tung, Hung-Ting Su, Winston H. Hsu |
| 2023 | On the Thresholding Strategy for Infrequent Labels in Multi-label Classification. | Yu-Jen Lin, Chih-Jen Lin |
| 2023 | printf: Preference Modeling Based on User Reviews with Item Images and Textual Information via Graph Learning. | Hao-Lun Lin, Jyun-Yu Jiang, Ming-Hao Juan, Pu-Jen Cheng |
| 2023 | Causal Discovery in Temporal Domain from Interventional Data. | Peiwen Li, Yuan Meng, Xin Wang, Fang Shen, Yue Li, Jialong Wang, Wenwu Zhu |
| 2023 | MadSGM: Multivariate Anomaly Detection with Score-based Generative Models. | Haksoo Lim, Sewon Park, Minjung Kim, Jaehoon Lee, Seonkyu Lim, Noseong Park |
| 2023 | GUARD: Graph Universal Adversarial Defense. | Jintang Li, Jie Liao, Ruofan Wu, Liang Chen, Zibin Zheng, Jiawang Dan, Changhua Meng, Weiqiang Wang |
| 2023 | Relation-Aware Diffusion Model for Controllable Poster Layout Generation. | Fengheng Li, An Liu, Wei Feng, Honghe Zhu, Yaoyu Li, Zheng Zhang, Jingjing Lv, Xin Zhu, Junjie Shen, Zhangang Lin, Jingping Shao |
| 2023 | HEPT Attack: Heuristic Perpendicular Trial for Hard-label Attacks under Limited Query Budgets. | Qi Li, Xingyu Li, Xiaodong Cui, Keke Tang, Peican Zhu |
| 2023 | MUSER: A Multi-View Similar Case Retrieval Dataset. | Qingquan Li, Yiran Hu, Feng Yao, Chaojun Xiao, Zhiyuan Liu, Maosong Sun, Weixing Shen |
| 2023 | CORD: A Three-Stage Coarse-to-Fine Framework for Relation Detection in Knowledge Base Question Answering. | Yanzeng Li, Sen Hu, Wenjuan Han, Lei Zou |
| 2023 | ST-MoE: Spatio-Temporal Mixture-of-Experts for Debiasing in Traffic Prediction. | Shuhao Li, Yue Cui, Yan Zhao, Weidong Yang, Ruiyuan Zhang, Xiaofang Zhou |
| 2023 | Bias Invariant Approaches for Improving Word Embedding Fairness. | Siyu Liao, Rongting Zhang, Barbara Poblete, Vanessa Murdock |
| 2023 | SAILOR: Structural Augmentation Based Tail Node Representation Learning. | Jie Liao, Jintang Li, Liang Chen, Bingzhe Wu, Yatao Bian, Zibin Zheng |
| 2023 | Retrieving GNN Architecture for Collaborative Filtering. | Fengqi Liang, Huan Zhao, Zhenyi Wang, Wei Fang, Chuan Shi |
| 2023 | Enhancing Dynamic On-demand Food Order Dispatching via Future-informed and Spatial-temporal Extended Decisions. | Yile Liang, Donghui Li, Jiuxia Zhao, Xuetao Ding, Huanjia Lian, Jinghua Hao, Renqing He |
| 2023 | A Hierarchical Imitation Learning-based Decision Framework for Autonomous Driving. | Hebin Liang, Zibin Dong, Yi Ma, Xiaotian Hao, Yan Zheng, Jianye Hao |
| 2023 | Harnessing the Power of Pre-trained Vision-Language Models for Efficient Medical Report Generation. | Qi Li |
| 2023 | Application of Deep Clustering Algorithms. | Collin Leiber, Lukas Miklautz, Claudia Plant, Christian Bhm |
| 2023 | Look At Me, No Replay! SurpriseNet: Anomaly Detection Inspired Class Incremental Learning. | Anton Lee, Yaqian Zhang, Heitor Murilo Gomes, Albert Bifet, Bernhard Pfahringer |
| 2023 | UNDO: Effective and Accurate Unlearning Method for Deep Neural Networks. | Sangyong Lee, Simon S. Woo |
| 2023 | DuoGAT: Dual Time-oriented Graph Attention Networks for Accurate, Efficient and Explainable Anomaly Detection on Time-series. | Jongsoo Lee, Byeongtae Park, Dong-Kyu Chae |