| 2024 | An LLM-enhanced Agent-based Simulation Tool for Information Propagation. | Yuxuan Hu, Gemju Sherpa, Lan Zhang, Weihua Li, Quan Bai, Yijun Wang, Xiaodan Wang |
| 2024 | Energy-Efficient Missing Data Imputation in Wearable Health Applications: A Classifier-aware Statistical Approach. | Dina Hussein, Taha Belkhouja, Ganapati Bhat, Janardhan Rao Doppa |
| 2024 | Delocate: Detection and Localization for Deepfake Videos with Randomly-Located Tampered Traces. | Juan Hu, Xin Liao, Difei Gao, Satoshi Tsutsui, Qian Wang, Zheng Qin, Mike Zheng Shou |
| 2024 | Practical Hybrid Gradient Compression for Federated Learning Systems. | Sixu Hu, Linshan Jiang, Bingsheng He |
| 2024 | Personalized Heart Disease Detection via ECG Digital Twin Generation. | Yaojun Hu, Jintai Chen, Lianting Hu, Dantong Li, Jiahuan Yan, Haochao Ying, Huiying Liang, Jian Wu |
| 2024 | LeRet: Language-Empowered Retentive Network for Time Series Forecasting. | Qihe Huang, Zhengyang Zhou, Kuo Yang, Gengyu Lin, Zhongchao Yi, Yang Wang |
| 2024 | ECR-Chain: Advancing Generative Language Models to Better Emotion-Cause Reasoners through Reasoning Chains. | Zhaopei Huang, Jinming Zhao, Qin Jin |
| 2024 | Negative-Binomial Randomized Gamma Dynamical Systems for Heterogeneous Overdispersed Count Time Sequences. | Rui Huang, Sikun Yang, Heinz Koeppl |
| 2024 | Eliminating the Cross-Domain Misalignment in Text-guided Image Inpainting. | Muqi Huang, Chaoyue Wang, Yong Luo, Lefei Zhang |
| 2024 | Unified View Imputation and Feature Selection Learning for Incomplete Multi-view Data. | Yanyong Huang, Zongxin Shen, Tianrui Li, Fengmao Lv |
| 2024 | Rethinking Correlation Learning via Label Prior for Open Set Domain Adaptation. | Zixian Huang, Chuan-Xian Ren |
| 2024 | Multiplex Graph Representation Learning via Bi-level Optimization. | Yudi Huang, Yujie Mo, Yujing Liu, Ci Nie, Guoqiu Wen, Xiaofeng Zhu |
| 2024 | Exploring the Role of Node Diversity in Directed Graph Representation Learning. | Jincheng Huang, Yujie Mo, Ping Hu, Xiaoshuang Shi, Shangbo Yuan, Zeyu Zhang, Xiaofeng Zhu |
| 2024 | Hundred-Kilobyte Lookup Tables for Efficient Single-Image Super-Resolution. | Binxiao Huang, Jason Chun Lok Li, Jie Ran, Boyu Li, Jiajun Zhou, Dahai Yu, Ngai Wong |
| 2024 | An Efficient Prototype-Based Clustering Approach for Edge Pruning in Graph Neural Networks to Battle Over-Smoothing. | Yuyang Huang, Wenjing Lu, Yang Yang |
| 2024 | Deep Multi-Dimensional Classification with Pairwise Dimension-Specific Features. | Teng Huang, Bin-Bin Jia, Min-Ling Zhang |
| 2024 | CompetEvo: Towards Morphological Evolution from Competition. | Kangyao Huang, Di Guo, Xinyu Zhang, Xiangyang Ji, Huaping Liu |
| 2024 | Updates on the Complexity of SHAP Scores. | Xuanxiang Huang, Joo Marques-Silva |
| 2024 | Reconstructing Missing Variables for Multivariate Time Series Forecasting via Conditional Generative Flows. | Xuanming Hu, Wei Fan, Haifeng Chen, Pengyang Wang, Yanjie Fu |
| 2024 | Strategic Aspects of Stable Matching Markets: A Survey. | Hadi Hosseini, Shraddha Pathak |
| 2024 | Fair Distribution of Delivery Orders. | Hadi Hosseini, Shivika Narang, Tomasz Was |
| 2024 | Algorithmic Fairness in Distribution of Resources and Tasks. | Hadi Hosseini |
| 2024 | Dynamically Anchored Prompting for Task-Imbalanced Continual Learning. | Chenxing Hong, Yan Jin, Zhiqi Kang, Yizhou Chen, Mengke Li, Yang Lu, Hanzi Wang |
| 2024 | Why Only Text: Empowering Vision-and-Language Navigation with Multi-modal Prompts. | Haodong Hong, Sen Wang, Zi Huang, Qi Wu, Jiajun Liu |
| 2024 | Learning Generalized Policies for Fully Observable Non-Deterministic Planning Domains. | Till Hofmann, Hector Geffner |