| 2024 | Understanding Transcriptional Regulatory Redundancy by Learnable Global Subset Perturbations. | Junhao Liu, Siwei Xu, Dylan Riffle, Ziheng Duan, Martin Renqiang Min, Jing Zhang |
| 2024 | I Mean I Am a Mouse: meets for Bilingual Multimodal Meme Sarcasm Classification from Large Language Models. | Yunzhe Liu, Xinyi Xu |
| 2024 | The data-driven transferable adversarial space. | Yuan Liu, Stphane Canu |
| 2024 | Visible-Infrared Person Re-Indentification via Feature Fusion and Deep Mutual Learning. | Ziyang Lin, Banghai Wang |
| 2024 | Robust Multi-Agent Reinforcement Learning for Autonomous Vehicle in Noisy Highway Environments. | Lilan Lin, Xiaotong Nie, Jian Hou |
| 2024 | Enhancing Aspect Sentiment Quad Prediction through Dual-Sequence Data Augmentation and Contrastive Learning. | Shihao Li, Nankai Lin, Pinmo Wu, Dong Zhou, Aimin Yang |
| 2024 | Differentially Private Deep Learning with Importance-based Adaptive Gradient Processing. | Ping Li, Mingwei Liang, Zhao Jiang, Jun Zhang |
| 2024 | Large Vision-Language Models as Emotion Recognizers in Context Awareness. | Yuxuan Lei, Dingkang Yang, Zhaoyu Chen, Jiawei Chen, Peng Zhai, Lihua Zhang |
| 2024 | Towards Robust Saliency Maps. | Nham Le, Arie Gurfinkel, Xujie Si, Chuqin Geng |
| 2024 | Membership Inference Attacks Against Time-Series Models. | Noam Koren, Abigail Goldsteen, Guy Amit, Ariel Farkash |
| 2024 | Clustering-Augmented Fraud Detection on Graphs Using Label-Aware Feature Aggregation. | Shixiong Jing, Lingwei Chen, Dinghao Wu |
| 2024 | A More Efficient Inference Model for Multimodal Emotion Recognition. | Liang Jia, Jin Tan, Lijin Qi, Mingwen Lin |
| 2024 | DCoT: Dual Chain-of-Thought Prompting for Large Multimodal Models. | Zixi Jia, Jiqiang Liu, Hexiao Li, Qinghua Liu, Hongbin Gao |
| 2024 | Middle Code Prediction: Enhancing Code Generation for Uncommon Programming Languages in Robotics. | Zixi Jia, Hongbin Gao, Hexiao Li |
| 2024 | Refining Visual Perception for Decoration Display: A Self-Enhanced Deep Captioning Model. | Longfei Huang, Xiangyu Wu, Jingyuan Wang, Weili Guo, Yang Yang |
| 2024 | On the sample complexity of privately learning half-spaces. | Yi-Hsiang Huang, Wei-Hong Chen, Shi-Chun Tsai |
| 2024 | Chain Association-based Attacking and Shielding Natural Language Processing Systems. | Jiacheng Huang, Long Chen |
| 2024 | SceneWeaver: Text-Driven Scene Generation with Geometry-aware Gaussian Splatting. | Xiaolu Hou, Mingcheng Li, Jiawei Chen, Dingkang Yang, Ziyun Qian, Lihua Zhang |
| 2024 | InfantCryNet: A Data-driven Framework for Intelligent Analysis of Infant Cries. | Mengze Hong, Chen Jason Zhang, Lingxiao Yang, Yuanfeng Song, Di Jiang |
| 2024 | Preserving Spatial-Temporal Relationship with Adaptive Node Sampling in Hierarchical Dynamic Graph Transformers. | Thi Linh Hoang, Tuan Dung Pham, Son T. Mai, Viet Cuong Ta |
| 2024 | Enhancing Textbook Question Answering with Knowledge Graph-Augmented Large Language Models. | Mengliang He, Aimin Zhou, Xiaoming Shi |
| 2024 | Zero-Reference Lighting Estimation Diffusion Model for Low-Light Image Enhancement. | Jinhong He, Minglong Xue, Aoxiang Ning, Chengyun Song |
| 2024 | Pic@Point: Cross-Modal Learning by Local and Global Point-Picture Correspondence. | Vencia Herzog, Stefan Suwelack |
| 2024 | MLP-Mixer based surrogate model for seismic ground motion with spatial source and geometry parameters. | Hirotaka Hachiya, Yuto Kuroki, Asako Iwaki, Takahiro Maeda, Naonori Ueda, Hiroyuki Fujiwara |
| 2024 | TSMCR: Two-stage Supervised Multi-modality Contrastive Representation for Ultrasound-based Breast Cancer Diagnosis. | Bangming Gong |