HUIPING ZHUANG
25 papers · 2021–2026 · 9 conferences · across top CS/AI conferences
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Conferences
ICML (6)
ACL (5)
AAAI (4)
NIPS (4)
CVPR (2)
COLING (1)
EMNLP (1)
ICCV (1)
WACV (1)
Top co-authors
Research topics
Keywords
continual learning
(8)
catastrophic forgetting
(7)
analytic learning
(6)
class incremental learning
(4)
exemplar-free learning
(4)
large language model
(4)
closed-form solution
(4)
class-incremental learning
(3)
domain adaptation
(2)
differential privacy
(2)
cross entropy loss
(2)
privacy protection
(2)
recursive least squares
(2)
preference learning
(1)
domain generalization
(1)
online learning
(1)
few-shot learning
(1)
distributed learning
(1)
reward modeling
(1)
reinforcement learning
(1)
Papers
RCP-Merging: Merging Long Chain-of-Thought Models with Domain-Specific Models by Considering Reasoning Capability as Prior
AAAI 2026
MixKVQ: Query-Aware Mixed-Precision KV Cache Quantization for Long-Context Reasoning
ACL 2026
Rep Deep & Machine Learning: Exemplar-Free Continual Video Action Recognition via Slow-Fast Collaborative Learning
AAAI 2026
AFL: A Single-Round Analytic Approach for Federated Learning with Pre-trained Models
CVPR 2025
PrivacyRestore: Privacy-Preserving Inference in Large Language Models via Privacy Removal and Restoration
ACL 2025
GenderAlign: An Alignment Dataset for Mitigating Gender Bias in Large Language Models
ACL 2025
SEA: Low-Resource Safety Alignment for Multimodal Large Language Models via Synthetic Embeddings
ACL 2025
AnalyticKWS: Towards Exemplar-Free Analytic Class Incremental Learning for Small-footprint Keyword Spotting
ACL 2025
RewardDS: Privacy-Preserving Fine-Tuning for Large Language Models via Reward Driven Data Synthesis
EMNLP 2025
Any-SSR: How Recursive Least Squares Works in Continual Learning of Large Language Model
ICCV 2025
Semantic Shift Estimation via Dual-Projection and Classifier Reconstruction for Exemplar-Free Class-Incremental Learning
ICML 2025
WMarkGPT: Watermarked Image Understanding via Multimodal Large Language Models
ICML 2025
L3A: Label-Augmented Analytic Adaptation for Multi-Label Class Incremental Learning
ICML 2025
ReFu: Recursive Fusion for Exemplar-Free 3D Class-Incremental Learning
WACV 2025
GACL: Exemplar-Free Generalized Analytic Continual Learning
NIPS 2024
DS-AL: A Dual-Stream Analytic Learning for Exemplar-Free Class-Incremental Learning
AAAI 2024
ConsistentEE: A Consistent and Hardness-Guided Early Exiting Method for Accelerating Language Models Inference
AAAI 2024
Mitigating Privacy Risk in Membership Inference by Convex-Concave Loss
ICML 2024
F-OAL: Forward-only Online Analytic Learning with Fast Training and Low Memory Footprint in Class Incremental Learning
NIPS 2024
Zero-shot Event Detection Using a Textual Entailment Model as an Enhanced Annotator
COLING 2024
Advancing Cross-domain Discriminability in Continual Learning of Vision-Language Models
NIPS 2024
Mitigating Memorization of Noisy Labels by Clipping the Model Prediction
ICML 2023
GKEAL: Gaussian Kernel Embedded Analytic Learning for Few-Shot Class Incremental Task
CVPR 2023
ACIL: Analytic Class-Incremental Learning with Absolute Memorization and Privacy Protection
NIPS 2022
Accumulated Decoupled Learning with Gradient Staleness Mitigation for Convolutional Neural Networks
ICML 2021