Zhuang, Huiping

20 publications

ICLR 2026 DeepAFL: Deep Analytic Federated Learning Jianheng Tang, Yajiang Huang, Kejia Fan, Feijiang Han, Jiaxu Li, Jinfeng Xu, Run He, Anfeng Liu, Houbing Herbert Song, Huiping Zhuang, Yunhuai Liu

ICLR 2026 ManipEvalAgent: Promptable and Efficient Evaluation Framework for Robotic Manipulation Policies Yiteng Chen, Huiping Zhuang, WenboLi, Shiyi Wang, Xiangyu Zhao, Qingyao Wu

ICLR 2026 WINA: Weight Informed Neuron Activation for Accelerating Large Language Model Inference Sihan Chen, Dan Zhao, Jongwoo Ko, Colby Banbury, Huiping Zhuang, Luming Liang, Pashmina Cameron, Tianyi Chen

CVPR 2025 AFL: A Single-Round Analytic Approach for Federated Learning with Pre-Trained Models Run He, Kai Tong, Di Fang, Han Sun, Ziqian Zeng, Haoran Li, Tianyi Chen, Huiping Zhuang

ICCV 2025 Any-SSR: How Recursive Least Squares Works in Continual Learning of Large Language Model Kai Tong, Kang Pan, Xiao Zhang, Erli Meng, Run He, Yawen Cui, Nuoyan Guo, Huiping Zhuang

NeurIPS 2025 GraphKeeper: Graph Domain-Incremental Learning via Knowledge Disentanglement and Preservation Zihao Guo, Qingyun Sun, Ziwei Zhang, Haonan Yuan, Huiping Zhuang, Xingcheng Fu, Jianxin Li

ICML 2025 L3A: Label-Augmented Analytic Adaptation for Multi-Label Class Incremental Learning Xiang Zhang, Run He, Chen Jiao, Di Fang, Ming Li, Ziqian Zeng, Cen Chen, Huiping Zhuang

WACV 2025 ReFu: Recursive Fusion for Exemplar-Free 3D Class-Incremental Learning Yi Yang, Lei Zhong, Huiping Zhuang

ICML 2025 Semantic Shift Estimation via Dual-Projection and Classifier Reconstruction for Exemplar-Free Class-Incremental Learning Run He, Di Fang, Yicheng Xu, Yawen Cui, Ming Li, Cen Chen, Ziqian Zeng, Huiping Zhuang

ICML 2025 WMarkGPT: Watermarked Image Understanding via Multimodal Large Language Models Songbai Tan, Xuerui Qiu, Yao Shu, Gang Xu, Linrui Xu, Xiangyu Xu, Huiping Zhuang, Ming Li, Fei Yu

NeurIPS 2024 Advancing Cross-Domain Discriminability in Continual Learning of Vision-Language Models Yicheng Xu, Yuxin Chen, Jiahao Nie, Yusong Wang, Huiping Zhuang, Manabu Okumura

AAAI 2024 ConsistentEE: A Consistent and Hardness-Guided Early Exiting Method for Accelerating Language Models Inference Ziqian Zeng, Yihuai Hong, Hongliang Dai, Huiping Zhuang, Cen Chen

AAAI 2024 DS-AL: A Dual-Stream Analytic Learning for Exemplar-Free Class-Incremental Learning Huiping Zhuang, Run He, Kai Tong, Ziqian Zeng, Cen Chen, Zhiping Lin

NeurIPS 2024 F-OAL: Forward-Only Online Analytic Learning with Fast Training and Low Memory Footprint in Class Incremental Learning Huiping Zhuang, Yuchen Liu, Run He, Kai Tong, Ziqian Zeng, Cen Chen, Yi Wang, Lap-Pui Chau

NeurIPS 2024 GACL: Exemplar-Free Generalized Analytic Continual Learning Huiping Zhuang, Yizhu Chen, Di Fang, Run He, Kai Tong, Hongxin Wei, Ziqian Zeng, Cen Chen

ICML 2024 Mitigating Privacy Risk in Membership Inference by Convex-Concave Loss Zhenlong Liu, Lei Feng, Huiping Zhuang, Xiaofeng Cao, Hongxin Wei

CVPR 2023 GKEAL: Gaussian Kernel Embedded Analytic Learning for Few-Shot Class Incremental Task Huiping Zhuang, Zhenyu Weng, Run He, Zhiping Lin, Ziqian Zeng

ICML 2023 Mitigating Memorization of Noisy Labels by Clipping the Model Prediction Hongxin Wei, Huiping Zhuang, Renchunzi Xie, Lei Feng, Gang Niu, Bo An, Yixuan Li

NeurIPS 2022 ACIL: Analytic Class-Incremental Learning with Absolute Memorization and Privacy Protection Huiping Zhuang, Zhenyu Weng, Hongxin Wei, Renchunzi Xie, Kar-Ann Toh, Zhiping Lin

ICML 2021 Accumulated Decoupled Learning with Gradient Staleness Mitigation for Convolutional Neural Networks Huiping Zhuang, Zhenyu Weng, Fulin Luo, Toh Kar-Ann, Haizhou Li, Zhiping Lin