Papers
Wasserstein-Aware Transfer: Class-Level Alignment for Robust Diffusion Model Adaptation
Zixian Huang, Chuan-Xian Ren
FedSDWC: Federated Synergistic Dual-Representation Weak Causal Learning for OOD
Zhenyuan Huang, Hui Zhang, Wenzhong Tang et al.
Is the Information Bottleneck Robust Enough? Towards Label-Noise Resistant Information Bottleneck Learning
Yi Huang, Qingyun Sun, Yisen Gao et al.
M2FMoE: Multi-Resolution Multi-View Frequency Mixture-of-Experts for Extreme-Adaptive Time Series Forecasting
Yaohui Huang, Runmin Zou, Yun Wang et al.
Federated Linear Dueling Bandits
Xuhan Huang, Yan Hu, Zhiyan Li et al.
PhysicsCorrect: A Training-Free Approach for Stable Neural PDE Simulations
Xinquan Huang, Paris Perdikaris
FedRNC: Addressing Spatio-Temporal Label Misalignment in Federated Noisy Class-Incremental Learning
Xingwei Huang, Zhaobin Sun, Junjie Shi et al.
CoLM: Collaborative Large Models via a Client-Server Paradigm
Siqi Huang, Sida Huang, Hongyuan Zhang
Feature Attribution for Human Sensing with Radio Signals
Shuokang Huang, Julie McCann
Sparse Poisson Gamma Belief Networks for High-Dimensional Sparse Count Data
Rui Huang, Dian Meng, Xun Zhou et al.
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.