| 2024 | Generalized Face Anti-Spoofing via Finer Domain Partition and Disentangling Liveness-Irrelevant Factors. | Jingyi Yang, Zitong Yu, Xiuming Ni, Jia He, Hui Li |
| 2024 | Hop-based Heterogeneous Graph Transformer. | Zixuan Yang, Xiao Wang, Yanhua Yu, Yuling Wang, Kangkang Lu, Zirui Guo, Xiting Qin, Yunshan Ma, Tat-Seng Chua |
| 2024 | LoCa: Logit Calibration for Knowledge Distillation. | Runming Yang, Taiqiang Wu, Yujiu Yang |
| 2024 | TabMedBERT: A Tabular Knowledge Enhanced Biomedical Pretrained Language Model. | Xu Yan, Lei Geng, Ziqiang Cao, Juntao Li, Wenjie Li, Sujian Li, Xinjie Zhou, Yang Yang, Jun Zhang |
| 2024 | Context Enhancement with Reconstruction as Sequence for Unified Unsupervised Anomaly Detection. | Hui-Yue Yang, Hui Chen, Lihao Liu, Zijia Lin, Kai Chen, Liejun Wang, Jungong Han, Guiguang Ding |
| 2024 | Mixup Your Own Latent: Efficient and Robust Self-Supervised Learning on Small Images. | Eugene Yang, Hao Chen, Seokho Kang |
| 2024 | Revocable Backdoor for Deep Model Trading. | Yiran Xu, Nan Zhong, Zhenxing Qian, Xinpeng Zhang |
| 2024 | Task-Aware Dynamic Transformer for Efficient Arbitrary-Scale Image Super-Resolution. | Tianyi Xu, Yijie Zhou, Xiaotao Hu, Kai Zhang, Anran Zhang, Xingye Qiu, Jun Xu |
| 2024 | MoSt-DSA: Modeling Motion and Structural Interactions for Direct Multi-Frame Interpolation in DSA Images. | Ziyang Xu, Huangxuan Zhao, Ziwei Cui, Wenyu Liu, Chuansheng Zheng, Xinggang Wang |
| 2024 | u-LLaVA: Unifying Multi-Modal Tasks via Large Language Model. | Jinjin Xu, Liwu Xu, Yuzhe Yang, Xiang Li, Fanyi Wang, Yanchun Xie, Yi-Jie Huang, Yaqian Li |
| 2024 | CSAdv: Class-Specific Adversarial Patches for DETR-Style Object Detection. | Yue Xu, Chuanming Wang, Xiaolong Zheng, Yi Huang, Peilun Du, Zeyuan Zhou, Liang Liu, Huadong Ma |
| 2024 | MLGAT: Multi-Scale Line Graph Attention Network for Emotion Recognition in Conversation. | Xiujuan Xu, Xiaoxiao Shi, Zhehuan Zhao, Yu Liu |
| 2024 | Laner-GNN: Adapting to Long-Tail Degree Distribution with Latent Neighborhood Restorers. | Lingjun Xu, Haowen Li, Guojie Song, Liang Wang, Bo Zheng |
| 2024 | A Practical Operational Semantics for Classical Planning in BDI Agents. | Mengwei Xu, Tom Lumley, Ramon Fraga Pereira, Felipe Meneguzzi |
| 2024 | Weight Scope Alignment: A Frustratingly Easy Method for Model Merging. | Yichu Xu, Xin-Chun Li, Le Gan, De-Chuan Zhan |
| 2024 | MixCon: A Hybrid Architecture for Efficient and Adaptive Sequence Modeling. | Xin Xu, Zhouchen Lin |
| 2024 | DiverTEAM: An Effective Evolutionary Algorithm for Diversified Top-k (Weight) Clique Search Problems. | Jinghui Xue, Jiongzhi Zheng, Kun He, Chu-Min Li, Yanli Liu |
| 2024 | Reasonable Gradients for Online Training Algorithms in Spiking Neural Networks. | Lang Xue, Hanwen Liu, Jing Wang, Hong Qu |
| 2024 | Leveraging Foundation Models for Zero-Shot IoT Sensing. | Dinghao Xue, Xiaoran Fan, Tao Chen, Guohao Lan, Qun Song |
| 2024 | Exemplar-Free Incremental Deepfake Detection. | Wuti Xiong, Guoying Zhao, Xiaobai Li |
| 2024 | Inside the Black Box: Detecting Data Leakage in Pre-Trained Language Encoders. | Yuan Xin, Zheng Li, Ning Yu, Dingfan Chen, Mario Fritz, Michael Backes, Yang Zhang |
| 2024 | MindScope: Exploring Cognitive Biases in Large Language Models Through Multi-Agent Systems. | Zhentao Xie, Jiabao Zhao, Yilei Wang, Jinxin Shi, Yanhong Bai, Xingjiao Wu, Liang He |
| 2024 | JOSAL: Joint Learning Framework for Open-Set Active Learning. | Jun Xie, Xiaohui Song, Yangjie Cao, Zhi Liu, Weiping Wang, Hongli Xu |
| 2024 | Domain Generalised Cell Nuclei Segmentation in Histopathology Images Using Domain-Aware Curriculum Learning and Colour-Perceived Meta Learning. | Kunzi Xie, Ruoyu Guo, Cong Cong, Maurice Pagnucco, Yang Song |
| 2024 | TED: Accelerate Model Training by Internal Generalization. | Jinying Xiao, Ping Li, Jie Nie |