Papers
HMformer: Unleashing Transformer’s Potential for Time Series Forecasting via Hierarchical Multi-Scale Modeling
Renjun Huang, Han Xiao, Bingqing Li et al.
Trimming the Fat: Redundancy-Aware Acceleration Framework for DGNNs
Renhong Huang, Yuxuan Cao, Yi Li et al.
Function-on-Function Bayesian Optimization
Jingru Huang, Haijie Xu, Manrui Jiang et al.
Self-Interpretable Subgraph Neural Network with Deep Reinforcement Walk Exploration
Jianming Huang, Hiroyuki Kasai
SemanticNN: Compressive and Error-Resilient Semantic Offloading for Extremely Weak Devices
Jiaming Huang, Yi Gao, Fuchang Pan et al.
Richer Representations for Neural Algorithmic Reasoning via Auxiliary Reconstruction
Jiafu Huang, Chao Peng, Chenyang Xu et al.
Recovering Coherent Affective Patterns: Addressing Modality Missing in Multimodal Sentiment Analysis
Huiting Huang, Tieliang Gong, Kai He et al.
Simulated Rewards, Skewed Strategies: Tracing the Acquired Preference Bias in LLM-Based Dialogue Planners
Heyan Huang, Yizhe Yang, Huashan Sun et al.
BayesAgent: Bayesian Agentic Reasoning Under Uncertainty via Verbalized Probabilistic Graphical Modeling
Hengguan Huang, Xing Shen, Guang-Yuan Hao et al.
PartialNet: Compute Less, Perform Better
Haiduo Huang, Tian Xia, Wenzhe Zhao et al.
Double Rounding: Nearly Lossless Adaptive Bit Switching for QAT
Haiduo Huang, Zhenhua Liu, Tian Xia et al.
Robust Decentralized Multi-armed Bandits: From Corruption-Resilience to Byzantine-Resilience
Zicheng Hu, Yuchen Wang, Cheng Chen
Towards Acyclic Preference Evaluation of Language Models via Multiple Evaluators
Zhengyu Hu, Jieyu Zhang, Zhihan Xiong et al.
Enhancing Diffusion Policies with Distribution-Matching Generator in Offline Reinforcement Learning
Xuemin Hu, Shen Li, Yingfen Xu et al.
Mosaic Pruning: A Hierarchical Framework for Generalizable Pruning of Mixture-of-Experts Models
Wentao Hu, Mingkuan Zhao, Shuangyong Song et al.
Beyond Monotonicity: Revisiting Factorization Principles in Multi-Agent Q-Learning
Tianmeng Hu, Yongzheng Cui, Rui Tang et al.
Prototype-Based Semantic Consistency Alignment for Domain Adaptive Retrieval
Tianle Hu, Weijun Lv, Na Han et al.
FedLAGC: Towards High Performance System-Heterogeneous Federated Learning via Layer-Adaptive Submodel Extraction and Gradient Correction
Qing Hu, Tianchi Liao, Shuyi Wu et al.
FedTopo: Topology-Informed Representation Alignment in Federated Learning Under Non-I.I.D. Conditions
Ke Hu, Liyao Xiang, Peng Tang et al.
Look Closer! An Adversarial Parametric Editing Framework for Hallucination Mitigation in VLMs
Jiayu Hu, Beibei Li, Jiangwei Xia et al.
Hyper-Opinion Vagueness Quantification for Robust Multimodal Learning
Disen Hu, Xun Jiang, Xiaofeng Cao et al.
Invariant Conditional Molecular Generation Under Distribution Shift
Chunyu Hu, Tianyin Liao, Yicheng Sui et al.
Venom: Liquid Diffusion-Guided Gradient Inversion for Breaking Differential Privacy in Federated Learning
Bin Hu, Jingling Yuan, Jiawei Jiang et al.
Denoising Mixup for Regression
Zhengzhang Hou, Zhanshan Li, Yanbo Liu et al.
Graph Out-of-Distribution Detection via Test-Time Calibration with Dual Dynamic Dictionaries
Yue Hou, Ruomei Liu, Yingke Su et al.