| 2023 | Leveraging Graph Embedding for Opinion Leader Detection in Dynamic Social Networks. | Yunming Hui, Mel Chekol, Shihan Wang |
| 2023 | Reinforcement Learning with Reward Machines in Stochastic Games. | Jueming Hu, Jean-Raphal Gaglione, Yanze Wang, Zhe Xu, Ufuk Topcu, Yongming Liu |
| 2023 | LoSS: Local Structural Separation Hypergraph Convolutional Neural Network. | Bingde Hu, Yang Gao, Zunlei Feng, Mingli Song, Xinyu Wang, Ying Li |
| 2023 | Subgroup Discovery with SD4Py. | Dan Hudson, Martin Atzmueller |
| 2023 | Green Hardware Infrastructure for Algorithmic Trading. | Kamil Hudaszek, Iwona Chomiak-Orsa, Saeed Abdullah M. AL-Dobai |
| 2023 | DTBS: Dual-Teacher Bi-Directional Self-Training for Domain Adaptation in Nighttime Semantic Segmentation. | Fanding Huang, Zihao Yao, Wenhui Zhou |
| 2023 | Exploration and Exploitation in Hierarchical Reinforcement Learning with Adaptive Scheduling. | Zhigang Huang, Quan Liu |
| 2023 | Diversified Prior Knowledge Enhanced General Language Model for Biomedical Information Retrieval. | Yizheng Huang, Jimmy X. Huang |
| 2023 | From Decision Trees to Explained Decision Sets. | Xuanxiang Huang, Joo Marques-Silva |
| 2023 | An Overview of Artificial Intelligence for Electric Vehicle Energy Systems Integration. | Weiqi Hua, Daniel Mullen, Abdul Wahid, Khadija Sitabkhan, Karl Mason |
| 2023 | Reasoning Guided by a Manual: Context-Aware Image Captioning with Novel Objects. | Peiyao Hua, Haifeng Sun, Jiachang Hao, Cong Liu, Jingyu Wang, Qi Qi, Jianxin Liao |
| 2023 | Gaifman Graphs in Lifted Planning. | Rostislav Horck, Daniel Fiser |
| 2023 | Sensitivity Analysis for Saturated Post-Hoc Optimization in Classical Planning. | Paul Hft, David Speck, Jendrik Seipp |
| 2023 | GraphSA: Smart Contract Vulnerability Detection Combining Graph Neural Networks and Static Analysis. | Long He, Xiangfu Zhao, Yichen Wang, Jiahui Yang, Xuelei Sun |
| 2023 | Micro-Expression Spotting Method Based on AU Prototype. | Yuhong He, Guangyu Wang, Lin Ma, Haifeng Li |
| 2023 | Preserving Semantics in Textual Adversarial Attacks. | David Herel, Hugo Cisneros, Toms Mikolov |
| 2023 | Leveraging Model-Based Trees as Interpretable Surrogate Models for Model Distillation. | Julia Herbinger, Susanne Dandl, Fiona Katharina Ewald, Sofia Loibl, Giuseppe Casalicchio |
| 2023 | Multi-Domain Learning from Insufficient Annotations. | Rui He, Shengcai Liu, Jiahao Wu, Shan He, Ke Tang |
| 2023 | Integrating Machine Learning into an SMT-Based Planning Approach for Production Planning in Cyber-Physical Production Systems. | Ren Heesch, Jonas Ehrhardt, Oliver Niggemann |
| 2023 | Group Activity Recognition in Basketball Tracking Data - Neural Embeddings in Team Sports (NETS). | Sandro Hauri, Slobodan Vucetic |
| 2023 | Dimensions of Similarity: Towards Interpretable Dimension-Based Text Similarity. | Hans Ole Hatzel, Fynn Petersen-Frey, Tim Fischer, Chris Biemann |
| 2023 | Leximin Approximation: From Single-Objective to Multi-Objective. | Eden Hartman, Avinatan Hassidim, Yonatan Aumann, Erel Segal-Halevi |
| 2023 | Evolving Dictionary Representation for Few-Shot Class-Incremental Learning. | Xuejun Han, Yuhong Guo |
| 2023 | Exploring the Feasibility of Physical Adversarial Attacks: A Cybersecurity Study. | Ronan Hamon, Henrik Junklewitz |
| 2023 | Omega-Regular Reward Machines. | Ernst Moritz Hahn, Mateo Perez, Sven Schewe, Fabio Somenzi, Ashutosh Trivedi, Dominik Wojtczak |