Papers
Hearing More with Less: Multi-Modal Retrieval-and-Selection Augmented Conversational LLM-Based ASR
Bingshen Mu, Hexin Liu, Hongfei Xue et al.
HeartLLM: Discretized ECG Tokenization for LLM-Based Diagnostic Reasoning
Jinning Yang, Wenjie Sun, Wen Shi
Heterogeneous Complementary Distillation
Liuchi Xu, Hao Zheng, Lu Wang et al.
Heterogeneous Graph Neural Networks for Assumption-Based Argumentation
Preesha Gehlot, Anna Rapberger, Fabrizio Russo et al.
Heterogeneous Uncertainty-Guided Composed Image Retrieval with Fine-Grained Probabilistic Learning
Haomiao Tang, Jinpeng Wang, Minyi Zhao et al.
Heterophily-aware Contrastive Learning for Heterophilic Hypergraphs
Ming Li, Yongqi Li, Yuting Chen et al.
HEV Generative Sandbox: A Framework for Assessing Domain-Specific Social Risks Through Human-LLM Simulation
Yiran Liu, Zhiyi Hou, Xiaoang Xu et al.
Hexaïssa: Standing on Giants’ Shoulders—Routing the Best Chess Engines with Mixture-of-Experts and Latent Reward Learning
Bach Ngo, Nguyen Hoang Khoi Do
HFR-MKGC: Hierarchical Fusion Reasoning with MLLMs for Multi-modal Knowledge Graph Completion
Di Wang, Junping Du, Zhe Xue et al.
H-GAR: A Hierarchical Interaction Framework via Goal-Driven Observation-Action Refinement for Robotic Manipulation
Yijie Zhu, Rui Shao, Ziyang Liu et al.
HGATSolver: A Heterogeneous Graph Attention Solver for Fluid–Structure Interaction
Qin-Yi Zhang, Hong Wang, Siyao Liu et al.
HGLTR: Hierarchical Knowledge Injection for Calibrating Pre-trained Models in Long-Tail Recognition
Jinpeng Zheng, Shao-Yuan Li, Gan Xu et al.
HiCL: Hippocampal-Inspired Continual Learning
Kushal Kapoor, Wyatt Mackey, Yiannis Aloimonos et al.
Hidden in the Noise: Unveiling Backdoors in Audio LLMs Alignment Through Latent Acoustic Pattern Triggers
Liang Lin, Miao Yu, Kaiwen Luo et al.
Hide and Seek with LLMs: An Adversarial Game for Sneaky Error Generation and Self-Improving Diagnosis
Rui Zou, Mengqi Wei, Yutao Zhu et al.
Hi-EF: Benchmarking Emotion Forecasting in Human-interaction
Haoran Wang, Xinji Mai, Zeng Tao et al.
Hierarchical Attention Network with Correction for Cross-Domain User Association
Wenlong Liu, Ze Wang, Chenlong Wu et al.
Hierarchical Cross-View Alignment for Multi-View Clustering via Decoupled Information Distillation
Taichun Zhou, Siwei Wang, Zhibin Dong et al.
Hierarchical Dataset Selection for High-Quality Data Sharing
Xiaona Zhou, Yingyan Zeng, Ran Jin et al.
Hierarchical Direction Perception via Atomic Dot-Product Operators for Rotation-Invariant Point Clouds Learning
Chenyu Hu, Xiaotong Li, Hao Zhu et al.
Hierarchical Dual-Domain Fusion with Frequency-Guided Spatial Modeling for Pan-Sharpening
Huangqimei Zheng, Chengyi Pan, Qian Jiang et al.
Hierarchical Frequency-Decomposition Graph Neural Networks for Road Network Representation Learning
Jingtian Ma, Jingyuan Wang, Leong Hou U
Hierarchical Frequency-Guided Alignment Transformer for Compressed Video Quality Enhancement
Liuhan Peng, Shuai Li, Yanbo Gao et al.
Hierarchical Prompt Learning for Image- and Text-Based Person Re-Identification
Linhan Zhou, Shuang Li, Neng Dong et al.
HierarchicalPrune: Position-Aware Compression for Large-Scale Diffusion Models
Young D. Kwon, Rui Li, Sijia Li et al.