| 2026 | VasoMIM: Vascular Anatomy-Aware Masked Image Modeling for Vessel Segmentation. | De-Xing Huang, Xiao-Hu Zhou, Mei-Jiang Gui, Xiao-Liang Xie, Shi-Qi Liu, Shuang-Yi Wang, Tian-Yu Xiang, Rui-Ze Ma, Nu-Fang Xiao, Zeng-Guang Hou |
| 2026 | BayesVQA: Energy-Guided Bayesian Debiasing for Language-Bias-Robust Visual Question Answering. | Zhiqi Huang, Huanjia Zhu, Xiangwen Deng, Qinghao Zhong, Bingzhi Chen |
| 2026 | Otter: Mitigating Background Distractions of Wide-Angle Few-Shot Action Recognition with Enhanced RWKV. | Wenbo Huang, Jinghui Zhang, Zhenghao Chen, Guang Li, Lei Zhang, Yang Cao, Fang Dong, Takahiro Ogawa, Miki Haseyama |
| 2026 | HAPO: Training Language Models to Reason Concisely via History-Aware Policy Optimization. | Chengyu Huang, Zhengxin Zhang, Claire Cardie |
| 2026 | Dynamic Geometric Equivariant Network for Full-Atom Antibody Design. | Weihong Huang, Feng Yang, Qiang Zhang, Juan Liu |
| 2026 | EMODIS: A Benchmark for Context-Dependent Emoji Disambiguation in Large Language Models. | Jiacheng Huang, Ning Yu, Xiaoyin Yi |
| 2026 | Hybrid Routing for a Mixture of LoRA Experts. | Yitong Huang, Ziqi Yang, Zihui Wang, Jianzhong Qi, Rongshan Yu, Xiaoliang Fan, Cheng Wang |
| 2026 | Simulated Rewards, Skewed Strategies: Tracing the Acquired Preference Bias in LLM-Based Dialogue Planners. | Heyan Huang, Yizhe Yang, Huashan Sun, Jiawei Li, Yang Gao |
| 2026 | Bayesian Neural Networks for One-to-Many Mapping in Image Enhancement. | Guoxi Huang, Qirui Yang, Ruirui Lin, Zipeng Qi, David Bull, Nantheera Anantrasirichai |
| 2026 | PartialNet: Compute Less, Perform Better. | Haiduo Huang, Tian Xia, Wenzhe Zhao, Pengju Ren |
| 2026 | HMformer: Unleashing Transformer's Potential for Time Series Forecasting via Hierarchical Multi-Scale Modeling. | Renjun Huang, Han Xiao, Bingqing Li, Baili Zhang, Jianhua Lyu |
| 2026 | Controllable Financial Market Generation with Diffusion Guided Meta Agent. | Yu-Hao Huang, Chang Xu, Yang Liu, Weiqing Liu, Wu-Jun Li, Jiang Bian |
| 2026 | Function-on-Function Bayesian Optimization. | Jingru Huang, Haijie Xu, Manrui Jiang, Chen Zhang |
| 2026 | Self-Supervised One-Step Diffusion Refinement for Snapshot Compressive Imaging. | Shaoguang Huang, Yunzhen Wang, Haijin Zeng, Hongyu Chen, Hongyan Zhang |
| 2026 | SPA: Achieving Consensus in LLM Alignment via Self-Priority Optimization. | Yue Huang, Xiangqi Wang, Xiangliang Zhang |
| 2026 | LLM2CLIP: Powerful Language Model Unlocks Richer Cross-Modality Representation. | Weiquan Huang, Aoqi Wu, Yifan Yang, Xufang Luo, Yuqing Yang, Usman Naseem, Chunyu Wang, Qi Dai, Xiyang Dai, Dongdong Chen, Chong Luo, Lili Qiu, Liang Hu |
| 2026 | Whispering Agents: A Event-Driven Covert Communication Protocol for the Internet of Agents. | Kaibo Huang, Yukun Wei, Wansheng Wu, Tianhua Zhang, Zhongliang Yang, Linna Zhou |
| 2026 | BuildingWorld: A Structured 3D Building Dataset for Urban Foundation Models. | Shangfeng Huang, Ruisheng Wang, Xin Wang |
| 2026 | Experiential Fairness: Bridging the Gap Between User Experience and Resource-Centric Fairness in Online LLM Services. | Jiahua Huang, Wentai Wu, Yongheng Liu, Guozhi Liu, Yang Wang, Weiwei Lin |
| 2026 | Parameterized Abstract Interpretation for Transformer Verification. | Pei Huang, Dennis Wei, Omri Isac, Haoze Wu, Min Wu, Clark W. Barrett |
| 2026 | LongSplat: Online Generalizable 3D Gaussian Splatting from Long Sequence Images. | Guichen Huang, Ruoyu Wang, Xiangjun Gao, Che Sun, Yuwei Wu, Shenghua Gao, Yunde Jia |
| 2026 | UNeMo: Collaborative Visual-Language Reasoning and Navigation via a Multimodal World Model. | Changxin Huang, Lv Tang, Zhaohuan Zhan, Lisha Yu, Runhao Zeng, Zun Liu, Zhengjie Wang, Jianqiang Li |
| 2026 | Model Editing as a Double-Edged Sword: Steering Agent Behavior Toward Beneficence or Harm. | Baixiang Huang, Zhen Tan, Haoran Wang, Zijie Liu, Dawei Li, Ali Payani, Huan Liu, Tianlong Chen, Kai Shu |
| 2026 | FedRNC: Addressing Spatio-Temporal Label Misalignment in Federated Noisy Class-Incremental Learning. | Xingwei Huang, Zhaobin Sun, Junjie Shi, Xin Yang, Zengqiang Yan |
| 2026 | Enhancing Generalization of Depth Estimation Foundation Model via Weakly-Supervised Adaptation with Regularization. | Yan Huang, Yongyi Su, Xin Lin, Le Zhang, Xun Xu |