| 2024 | Privacy-preserving Spatial Dataset Search in Cloud. | Pengyue Li, Hua Dai, Sheng Wang, Wenzhe Yang, Geng Yang |
| 2024 | Coresets for Deletion-Robust k-Center Clustering. | Ruien Li, Yanhao Wang, Michael Mathioudakis |
| 2024 | Ocean Significant Wave Height Estimation with Spatio-temporally Aware Large Language Models. | Zhe Li, Ronghui Xu, Jilin Hu, Zhong Peng, Xi Lu, Chenjuan Guo, Bin Yang |
| 2024 | Noise-Resilient Unsupervised Graph Representation Learning via Multi-Hop Feature Quality Estimation. | Shiyuan Li, Yixin Liu, Qingfeng Chen, Geoffrey I. Webb, Shirui Pan |
| 2024 | Improving Prompt-based News Recommendation with Individual Template and Customized Answer. | Yijiang Li, Jun Wu |
| 2024 | RL-ISLAP: A Reinforcement Learning Framework for Industrial-Scale Linear Assignment Problems at Alipay. | Hanjie Li, Yue Ning, Yang Bao, Changsheng Li, Boxiao Chen, Xingyu Lu, Ye Yuan, Guoren Wang |
| 2024 | XploitSQL: Advancing Adversarial SQL Injection Attack Generation with Language Models and Reinforcement Learning. | Daniel Leung, Omar Tsai, Kourosh Hashemi, Bardia Tayebi, Mohammad A. Tayebi |
| 2024 | Federated Deep Equilibrium Learning: Harnessing Compact Global Representations to Enhance Personalization. | Long Tan Le, Tuan Dung Nguyen, Tung-Anh Nguyen, Choong Seon Hong, Suranga Seneviratne, Wei Bao, Nguyen Hoang Tran |
| 2024 | EUvsDisinfo: A Dataset for Multilingual Detection of Pro-Kremlin Disinformation in News Articles. | Joo Augusto Leite, Olesya Razuvayevskaya, Kalina Bontcheva, Carolina Scarton |
| 2024 | HypMix: Hyperbolic Representation Learning for Graphs with Mixed Hierarchical and Non-hierarchical Structures. | Eric Wonhee Lee, Bo Xiong, Carl Yang, Joyce C. Ho |
| 2024 | FastSimiFeat: A Fast and Generalized Approach Utilizing | Jungi Lee, Hwiwoo Park, Myounghwan Kim, Jiseong Yoon, Kwangsun Yoo, Seok-Joo Byun |
| 2024 | Vision Language Model is NOT All You Need: Augmentation Strategies for Molecule Language Models. | Namkyeong Lee, Siddhartha Laghuvarapu, Chanyoung Park, Jimeng Sun |
| 2024 | MuLe: Multi-Grained Graph Learning for Multi-Behavior Recommendation. | Seunghan Lee, Geonwoo Ko, Hyun-Je Song, Jinhong Jung |
| 2024 | Post-Training Embedding Enhancement for Long-Tail Recommendation. | Geon Lee, Kyungho Kim, Kijung Shin |
| 2024 | DiaKoP: Dialogue-based Knowledge-oriented Programming for Neural-symbolic Knowledge Base Question Answering. | Zhicheng Lee, Zhidian Huang, Zijun Yao, Jinxin Liu, Amy Xin, Lei Hou, Juanzi Li |
| 2024 | Learning Prompt-Level Quality Variance for Cost-Effective Text-to-Image Generation. | Dongkeun Lee, Wonjun Lee |
| 2024 | A One-Health Platform for Antimicrobial Resistance Data Analytics. | Benoit Lange, Reza Akbarinia, Florent Masseglia |
| 2024 | Error Detection and Constraint Recovery in Hierarchical Multi-Label Classification without Prior Knowledge. | Joshua Shay Kricheli, Khoa Vo, Aniruddha Datta, Spencer Ozgur, Paulo Shakarian |
| 2024 | FaDE: A Face Segment Driven Identity Anonymization Framework For Fair Face Recognition. | Ziyi Kou, Yijun Tian, Meng Jiang, Xiangliang Zhang |
| 2024 | Discrepancy-guided Channel Dropout for Domain Generalization. | Seonggyeom Kim, Byeongtae Park, Harim Lee, Dong-Kyu Chae |
| 2024 | PolarDSN: An Inductive Approach to Learning the Evolution of Network Polarization in Dynamic Signed Networks. | Min-Jeong Kim, Yeon-Chang Lee, Sang-Wook Kim |
| 2024 | Transformer for Point Anomaly Detection. | Harim Kim, Chang Ha Lee, Charmgil Hong |
| 2024 | Enhancing Anomaly Detection via Generating Diversified and Hard-to-distinguish Synthetic Anomalies. | Hyuntae Kim, Changhee Lee |
| 2024 | LAPIS: Language Model-Augmented Police Investigation System. | Heedou Kim, Dain Kim, Jiwoo Lee, Chanwoong Yoon, Donghee Choi, Mogan Gim, Jaewoo Kang |
| 2024 | Towards Better Utilization of Multiple Views for Bundle Recommendation. | Kyungho Kim, Sunwoo Kim, Geon Lee, Kijung Shin |