| 2024 | Exactly Solving Minimum Dominating Set and Its Generalization. | Ziliang Xiong, Mingyu Xiao |
| 2024 | KTCN: Enhancing Open-World Object Detection with Knowledge Transfer and Class-Awareness Neutralization. | Xing Xi, Yangyang Huang, Jinhao Lin, Ronghua Luo |
| 2024 | Learning Fair Representations for Recommendation via Information Bottleneck Principle. | Junsong Xie, Yonghui Yang, Zihan Wang, Le Wu |
| 2024 | A Swap Relaxation-Based Local Search for the Latin Square Completion Problem. | Zhenxuan Xie, Zhipeng L, Zhouxing Su, Chu-Min Li, Junwen Ding, Yuxuan Wang |
| 2024 | GladCoder: Stylized QR Code Generation with Grayscale-Aware Denoising Process. | Yuqiu Xie, Bolin Jiang, Jiawei Li, Naiqi Li, Bin Chen, Tao Dai, Yuang Peng, Shu-Tao Xia |
| 2024 | Exploring Learngene via Stage-wise Weight Sharing for Initializing Variable-sized Models. | Shiyu Xia, Wenxuan Zhu, Xu Yang, Xin Geng |
| 2024 | A Neural Column Generation Approach to the Vehicle Routing Problem with Two-Dimensional Loading and Last-In-First-Out Constraints. | Yifan Xia, Xiangyi Zhang |
| 2024 | Unified Single-Stage Transformer Network for Efficient RGB-T Tracking. | Jianqiang Xia, Dianxi Shi, Ke Song, Linna Song, Xiaolei Wang, Songchang Jin, Chenran Zhao, Yu Cheng, Lei Jin, Zheng Zhu, Jianan Li, Gang Wang, Junliang Xing, Jian Zhao |
| 2024 | Learning to Solve Geometry Problems via Simulating Human Dual-Reasoning Process. | Tong Xiao, Jiayu Liu, Zhenya Huang, Jinze Wu, Jing Sha, Shijin Wang, Enhong Chen |
| 2024 | Hierarchical Reinforcement Learning for Point of Interest Recommendation. | Yanan Xiao, Lu Jiang, Kunpeng Liu, Yuanbo Xu, Pengyang Wang, Minghao Yin |
| 2024 | An Image-enhanced Molecular Graph Representation Learning Framework. | Hongxin Xiang, Shuting Jin, Jun Xia, Man Zhou, Jianmin Wang, Li Zeng, Xiangxiang Zeng |
| 2024 | RSAP-DFM: Regime-Shifting Adaptive Posterior Dynamic Factor Model for Stock Returns Prediction. | Quanzhou Xiang, Zhan Chen, Qi Sun, Rujun Jiang |
| 2024 | From Pixels to Progress: Generating Road Network from Satellite Imagery for Socioeconomic Insights in Impoverished Areas. | Yanxin Xi, Yu Liu, Zhicheng Liu, Sasu Tarkoma, Pan Hui, Yong Li |
| 2024 | Learning-Based Tracking-before-Detect for RF-Based Unconstrained Indoor Human Tracking. | Zhi Wu, Dongheng Zhang, Zixin Shang, Yuqin Yuan, Hanqin Gong, Binquan Wang, Zhi Lu, Yadong Li, Yang Hu, Qibin Sun, Yan Chen |
| 2024 | Unified Evidence Enhancement Inference Framework for Fake News Detection. | Lianwei Wu, Linyong Wang, Yongqiang Zhao |
| 2024 | ELF-UA: Efficient Label-Free User Adaptation in Gaze Estimation. | Yong Wu, Yang Wang, Sanqing Qu, Zhijun Li, Guang Chen |
| 2024 | Guiding Clinical Reasoning with Large Language Models via Knowledge Seeds. | Jiageng Wu, Xian Wu, Jie Yang |
| 2024 | OD-DETR: Online Distillation for Stabilizing Training of Detection Transformer. | Shengjian Wu, Li Sun, Qingli Li |
| 2024 | Synthesizing Programmatic Policy for Generalization within Task Domain. | Tianyi Wu, Liwei Shen, Zhen Dong, Xin Peng, Wenyun Zhao |
| 2024 | Are Watermarks Bugs for Deepfake Detectors? Rethinking Proactive Forensics. | Xiaoshuai Wu, Xin Liao, Bo Ou, Yuling Liu, Zheng Qin |
| 2024 | Safeguarding Fraud Detection from Attacks: A Robust Graph Learning Approach. | Jiasheng Wu, Xin Liu, Dawei Cheng, Yi Ouyang, Xian Wu, Yefeng Zheng |
| 2024 | From Optimization to Generalization: Fair Federated Learning against Quality Shift via Inter-Client Sharpness Matching. | Nannan Wu, Zhuo Kuang, Zengqiang Yan, Li Yu |
| 2024 | TAI++: Text as Image for Multi-Label Image Classification by Co-Learning Transferable Prompt. | Xiangyu Wu, Qing-Yuan Jiang, Yang Yang, Yi-Feng Wu, Qing-Guo Chen, Jianfeng Lu |
| 2024 | Robust Heterophilic Graph Learning against Label Noise for Anomaly Detection. | Junhang Wu, Ruimin Hu, Dengshi Li, Zijun Huang, Lingfei Ren, Yilong Zang |
| 2024 | AI-Enhanced Virtual Reality in Medicine: A Comprehensive Survey. | Yixuan Wu, Kaiyuan Hu, Danny Z. Chen, Jian Wu |