| 2024 | Causal ATTention Multiple Instance Learning for Whole Slide Image Classification. | Xiaochun Wu, Haitao Wang, Hejun Wu |
| 2024 | A Single-Stage Multi-Style License Plate Recognition Method Based on Attention. | Longbin Wu, Sen Liu, Yufei Xie, Haowei Lee, Xiaohui Duan |
| 2024 | Multi-Scale Dual-Attention Unfolding Network for Compressed Sensing Image Reconstruction. | Liangjun Wang, Meixin Wang |
| 2024 | IST-YOLO: Infrared Small Target Detector based on Improved YOLOv8. | Ruoyu Wang, Bicao Li, Bei Wang, Danting Niu, Yongzhao Wang |
| 2024 | Diffusion-based Adversarial Attack to Automatic Speech Recognition. | Ying Wang, Yuchuan Luo, Shaojing Fu, Zhenyu Qiu, Lin Liu |
| 2024 | When and How to Grow? On Efficient Pre-training via Model Growth. | Jikai Wang, Juntao Li, Min Zhang, Zechang Li, Qingrong Xia, Xinyu Duan, Zhefeng Wang, Baoxing Huai |
| 2024 | On Learning Frequency-Instance Correlations by Model-Agnostic Training for Synthetic Speech Detection. | Zining Wang, Lijian Gao, Jialin Zhang, Qirong Mao |
| 2024 | Prompting vision-language fusion for Zero-Shot Composed Image Retrieval. | Peng Wang, Zining Chen, Zhicheng Zhao, Fei Su |
| 2024 | Constrained Implicit Learning Framework for Neural Network Sparsification. | Alicia Y. Tsai, Wenzhi Gao, Laurent El Ghaoui |
| 2024 | Adapting the Attention of Cloud-Based Recognition Model to Client-Side Images without Local Re-Training. | Yangwenjian Tan, Yikai Yan, Chaoyue Niu |
| 2024 | Improve Diverse Commonsense Generation by Enhancing Subgraphs. | Jianman Tan, Shuo Yang |
| 2024 | Rethinking Literary Plagiarism in LLMs through the Lens of Copyright Laws. | Huachen Tan, Moming Duan, Duo Liu, Haojie Lu, Yuexin Mu, Longyi Zhou, Ao Ren, Yujuan Tan, Kan Zhong |
| 2024 | Orchestrating Plasticity and Stability: A Continual Knowledge Graph Embedding Framework with Bio-Inspired Dual-Mask Mechanism. | Ailin Song, Yuhong Chen, Yusong Wang, Shuai Zhong, Mingkun Xu |
| 2024 | Fairness and Privacy Guarantees in Federated Contextual Bandits. | Sambhav Solanki, Shweta Jain, Sujit Gujar |
| 2024 | Non-Oblivious Performance of Random Projections. | Maciej Skorski, Alessandro Temperoni |
| 2024 | Knowledge Graph Large Language Model (KG-LLM) for Link Prediction. | Dong Shu, Tianle Chen, Mingyu Jin, Chong Zhang, Mengnan Du, Yongfeng Zhang |
| 2024 | Towards Calibrated Losses for Adversarial Robust Reject Option Classification. | Vrund Shah, Tejas Kiran Chaudhari, Naresh Manwani |
| 2024 | GRU-M: A Joint Impute and Learn Approach for Sequential Prediction under Missing Data. | Soumen Pachal, Avinash Achar, Nancy Bhutani, Akash Das |
| 2024 | Joint learning of Gaussian graphical models in heterogeneous dependencies of high-dimensional transcriptomic data. | Dung Ngoc Nguyen, Zitong Li |
| 2024 | Dude: Dual Distribution-Aware Context Prompt Learning For Large Vision-Language Model. | Duy Minh Ho Nguyen, An Thai Le, Trung Quoc Nguyen, Nghiem Tuong Diep, Tai Nguyen, Duy Duong-Tran, Jan Peters, Li Shen, Mathias Niepert, Daniel Sonntag |
| 2024 | Robust Transfer Learning for Active Level Set Estimation with Locally Adaptive Gaussian Process Prior. | Giang Ngo, Dang Nguyen, Sunil Gupta |
| 2024 | How Classification Baseline Works for Deep Metric Learning: A Perspective of Metric Space. | Yuanqu Mou, Zhengxue Jian, Haiyang Bai, Chang Gou |
| 2024 | Diffusion Model Based Posterior Sampling for Noisy Linear Inverse Problems. | Xiangming Meng, Yoshiyuki Kabashima |
| 2024 | Multi-Task Network Guided Multimodal Fusion for Fake News Detection. | Jinke Ma, Liyuan Zhang, Yong Liu, Wei Zhang |
| 2024 | FedLF: Adaptive Logit Adjustment and Feature Optimization in Federated Long-Tailed Learning. | Xiuhua Lu, Peng Li, Xuefeng Jiang |