| 2026 | AAAI | RCP-Merging: Merging Long Chain-of-Thought Models with Domain-Specific Models by Considering Reasoning Capability as Prior. | Junyao Yang, Jianwei Wang, Huiping Zhuang, Cen Chen, Ziqian Zeng |
| 2026 | AAAI | Rep Deep & Machine Learning: Exemplar-Free Continual Video Action Recognition via Slow-Fast Collaborative Learning. | Xueyi Zhang, Chengwei Zhang, Zheng Li, Xiyu Wang, Siqi Cai, Mingrui Lao, Yanming Guo, Huiping Zhuang |
| 2026 | ACL | MixKVQ: Query-Aware Mixed-Precision KV Cache Quantization for Long-Context Reasoning. | Tao Zhang, Ziqian Zeng, Hao Peng, Huiping Zhuang, Cen Chen |
| 2025 | ACL | SEA: Low-Resource Safety Alignment for Multimodal Large Language Models via Synthetic Embeddings. | Weikai Lu, Hao Peng, Huiping Zhuang, Cen Chen, Ziqian Zeng |
| 2025 | ACL | AnalyticKWS: Towards Exemplar-Free Analytic Class Incremental Learning for Small-footprint Keyword Spotting. | Yang Xiao, Tianyi Peng, Rohan Kumar Das, Yuchen Hu, Huiping Zhuang |
| 2025 | ACL | PrivacyRestore: Privacy-Preserving Inference in Large Language Models via Privacy Removal and Restoration. | Ziqian Zeng, Jianwei Wang, Junyao Yang, Zhengdong Lu, Haoran Li, Huiping Zhuang, Cen Chen |
| 2025 | ACL | GenderAlign: An Alignment Dataset for Mitigating Gender Bias in Large Language Models. | Tao Zhang, Ziqian Zeng, YuxiangXiao YuxiangXiao, Huiping Zhuang, Cen Chen, James R. Foulds, Shimei Pan |
| 2025 | CVPR | 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 |
| 2025 | ECAI | C-Adapter: Adapting Deep Classifiers for Efficient Conformal Prediction Sets. | Kangdao Liu, Hao Zeng, Jianguo Huang, Huiping Zhuang, Chi-Man Vong, Hongxin Wei |
| 2025 | EMNLP | RewardDS: Privacy-Preserving Fine-Tuning for Large Language Models via Reward Driven Data Synthesis. | Jianwei Wang, Chengming Shi, Junyao Yang, Haoran Li, Qianli Ma, Huiping Zhuang, Cen Chen, Ziqian Zeng |
| 2025 | ICCV | Any-SSR: How Recursive Least Squares Works in Continual Learning of Large Language Models. | Kai Tong, Kang Pan, Xiao Zhang, Erli Meng, Run He, Yawen Cui, Nuoyan Guo, Huiping Zhuang |
| 2025 | ICML | 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 |
| 2025 | ICML | 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 Richard Yu |
| 2025 | ICML | 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 |
| 2025 | IROS | A Bio-inspired Robotic Electric Ray Design of Multimodal Locomotion with Grasping Function. | Yuyang Mo, Xing Xie, Zicun Hong, Huiping Zhuang, Yong Zhong |
| 2025 | WACV | ReFu: Recursive Fusion for Exemplar-Free 3D Class-Incremental Learning. | Yi Yang, Lei Zhong, Huiping Zhuang |
| 2024 | AAAI | ConsistentEE: A Consistent and Hardness-Guided Early Exiting Method for Accelerating Language Models Inference. | Ziqian Zeng, Yihuai Hong, Hongliang Dai, Huiping Zhuang, Cen Chen |
| 2024 | AAAI | 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 |
| 2024 | COLING | Zero-shot Event Detection Using a Textual Entailment Model as an Enhanced Annotator. | Ziqian Zeng, Runyu Wu, Yuxiang Xiao, Xiaoda Zhong, Hanlin Wang, Zhengdong Lu, Huiping Zhuang |
| 2024 | ICML | Mitigating Privacy Risk in Membership Inference by Convex-Concave Loss. | Zhenlong Liu, Lei Feng, Huiping Zhuang, Xiaofeng Cao, Hongxin Wei |
| 2024 | ISCAS | Complex Motion Planning for Quadruped Robots Using Large Language Models. | Xiang Zhang, Run He, Kai Tong, Shuquan Man, Jingyu Tong, Haodong Li, Huiping Zhuang |
| 2024 | VCIP | Joint-Neighborhood Product Quantization for Unsupervised Cross-Modal Retrieval. | Runhao Li, Zhenyu Weng, Yongming Chen, Huiping Zhuang, Yap-Peng Tan, Zhiping Lin |
| 2023 | CVPR | GKEAL: Gaussian Kernel Embedded Analytic Learning for Few-Shot Class Incremental Task. | Huiping Zhuang, Zhenyu Weng, Run He, Zhiping Lin, Ziqian Zeng |
| 2023 | ICML | Mitigating Memorization of Noisy Labels by Clipping the Model Prediction. | Hongxin Wei, Huiping Zhuang, Renchunzi Xie, Lei Feng, Gang Niu, Bo An, Yixuan Li |
| 2023 | ISCAS | Neighborhood Learning from Noisy Labels for Cross-Modal Retrieval. | Runhao Li, Zhenyu Weng, Huiping Zhuang, Yongming Chen, Zhiping Lin |
| 2022 | ICASSP | Multiple Temporal Context Embedding Networks for Unsupervised time Series Anomaly Detection. | Hanhui Li, Xinggan Peng, Huiping Zhuang, Zhiping Lin |
| 2021 | ICML | Accumulated Decoupled Learning with Gradient Staleness Mitigation for Convolutional Neural Networks. | Huiping Zhuang, Zhenyu Weng, Fulin Luo, Kar-Ann Toj, Haizhou Li, Zhiping Lin |
| 2021 | ISCAS | Training Multilayer Neural Networks Analytically Using Kernel Projection. | Huiping Zhuang, Zhiping Lin, Kar-Ann Toh |
| 2020 | ICARCV | Robust Real-time Face Tracking for People Wearing Face Masks. | Xinggan Peng, Huiping Zhuang, Guang-Bin Huang, Haizhou Li, Zhiping Lin |
| 2019 | IJCNN | A Low-Memory Learning Formulation for a Kernel-and-Range Network. | Huiping Zhuang, Zhiping Lin, Kar-Ann Toh |
| 2016 | ICARCV | Robust two-stage Kalman filtering in presence of autoregressive input. | Huiping Zhuang, Junhui Li |