| 2024 | Multi-Query Person Search with Transformers. | Ying Chen, Zhihui Li, Andy Song |
| 2024 | Adversarial-Robust Transfer Learning for Medical Imaging via Domain Assimilation. | Xiaohui Chen, Tie Luo |
| 2024 | MOT: A Mixture of Actors Reinforcement Learning Method by Optimal Transport for Algorithmic Trading. | Xi Cheng, Jinghao Zhang, Yunan Zeng, Wenfang Xue |
| 2024 | Backdoor Attack Against One-Class Sequential Anomaly Detection Models. | He Cheng, Shuhan Yuan |
| 2024 | False Negative Sample Aware Negative Sampling for Recommendation. | Liguo Chen, Zhigang Gong, Hong Xie, Mingqiang Zhou |
| 2024 | Semantic Completion: Enhancing Image-Text Retrieval with Information Extraction and Compression. | Xue Chen, Yi Guo |
| 2024 | Enhanced Graph Neural Network for Session-Based Recommendation with Static and Dynamic Information. | Yongxin Chao, Kai Zheng |
| 2024 | Adaptive Knowledge Sharing in Multi-Task Learning: Insights from Electricity Data Analysis. | Yu-Hsiang Chang, Lo Pang-Yun Ting, Wei-Cheng Yin, Ko-Wei Su, Kun-Ta Chuang |
| 2024 | Geometrically-Aware Dual Transformer Encoding Visual and Textual Features for Image Captioning. | Yu-Ling Chang, Hao-Shang Ma, Shiou-Chi Li, Jen-Wei Huang |
| 2024 | Explainable AI for Stress and Depression Detection in the Cyberspace and Beyond. | Erik Cambria, Balzs Gulys, Joyce S. Pang, Nigel V. Marsh, Mythily Subramaniam |
| 2024 | Next Item and Interval Prediction of New Users Using Meta-Learning on Dynamic Network. | Jun-Hong Cai, Yi-Hang Tsai, Chia-Ming Chang, San-Yih Hwang |
| 2024 | Toward Interpretable Graph Classification via Concept-Focused Structural Correspondence. | Tien-Cuong Bui, Wen-Syan Li |
| 2024 | Human-Driven Active Verification for Efficient and Trustworthy Graph Classification. | Tien-Cuong Bui, Wen-Syan Li |
| 2024 | MLT-Trans: Multi-level Token Transformer for Hierarchical Image Classification. | Tanya Boone-Sifuentes, Asef Nazari, Mohamed Reda Bouadjenek, Imran Razzak |
| 2024 | DEAL: Data-Efficient Active Learning for Regression Under Drift. | Bla H. Bhnke, Edouard Fouch, Klemens Bhm |
| 2024 | STLGRU: Spatio-Temporal Lightweight Graph GRU for Traffic Flow Prediction. | Kishor Kumar Bhaumik, Fahim Faisal Niloy, Saif Mahmud, Simon S. Woo |
| 2024 | DALLMi: Domain Adaption for LLM-Based Multi-label Classifier. | Miruna Betianu, Abele Malan, Marco Aldinucci, Robert Birke, Lydia Y. Chen |
| 2024 | StyleAutoEncoder for Manipulating Image Attributes Using Pre-trained StyleGAN. | Andrzej Bedychaj, Jacek Tabor, Marek Smieja |
| 2024 | Transformer based Multitask Learning for Image Captioning and Object Detection. | Debolena Basak, P. K. Srijith, Maunendra Sankar Desarkar |
| 2024 | Enhancing YOLOv7 for Plant Organs Detection Using Attention-Gate Mechanism. | Hanane Ariouat, Youcef Sklab, Marc Pignal, Florian Jabbour, Rgine Vignes-Lebbe, Edi Prifti, Jean-Daniel Zucker, Eric Chenin |
| 2024 | MM-PhyQA: Multimodal Physics Question-Answering with Multi-image CoT Prompting. | Avinash Anand, Janak Kapuriya, Apoorv Singh, Jay Saraf, Naman Lal, Astha Verma, Rushali Gupta, Rajiv Ratn Shah |
| 2024 | A Universal Non-parametric Approach for Improved Molecular Sequence Analysis. | Sarwan Ali, Tamkanat E. Ali, Prakash Chourasia, Murray Patterson |
| 2024 | ScaleViz: Scaling Visualization Recommendation Models on Large Data. | Ghazi Shazan Ahmad, Shubham Agarwal, Subrata Mitra, Ryan A. Rossi, Manav Doshi, Vibhor Porwal, Syam Manoj Kumar Paila |
| 2024 | FR | Abdallah Aaraba, Shengrui Wang, Jean-Marc Patenaude |
| 2023 | BeamAttack: Generating High-quality Textual Adversarial Examples Through Beam Search and Mixed Semantic Spaces. | Hai Zhu, Qinyang Zhao, Yuren Wu |