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HUIPING ZHUANG

27 papers · 2021–2026 · 9 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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+8 more ↓ πŸ—ΊοΈ Taxonomy Completionist (58) πŸƒ Academic Marathon Β· Sprint 🌍 Conference Polyglot Β· Silver πŸŒ‰ Interdisciplinary Bridge Β· Bronze 🐣 Hot Topic Early Bird
πŸ† Keyword Champion (4) 🀝 Dynamic Duo (16) πŸ”¬ Deep Specialist (10) 🌈 Renaissance Researcher (7) πŸ”₯ Unstoppable Β· Bronze ⚑ Prolific Year Β· Prolific πŸ’Ž Century Club Β· Bronze πŸ—ƒοΈ Keyword Collector (126)

Venues

ICML (6) ACL (5) AAAI (4) CVPR (4) NeurIPS (4) COLING (1) EMNLP (1) ICCV (1) WACV (1)

Top co-authors

Ziqian Zeng (16) Cen Chen (13) Run He (8) Kai Tong (5) Zhiping Lin (4) Ming Li (4) Hongxin Wei (4) Haoran Li (4) Di Fang (4) Jianwei Wang (3)

Research topics

Machine Learning (23) Artificial Intelligence (19) Core AI (13) Learning Types Β· Machine Learning (13) Deep Learning (12) Application Areas (10) Optimization & Theory Β· Machine Learning (9) Learning Types Β· Deep Learning (8) Learning Paradigms (7) Core Methods (6) Optimization & Theory Β· Deep Learning (5) Architectures (3) Computer Vision (2) Natural Language Processing (2) Data Science & Analytics (1)

Keywords

class-incremental learning (8) continual learning (8) catastrophic forgetting (7) analytic learning (6) closed-form solution (4) large language model (4) exemplar-free learning (4) multimodal large language model (4) domain adaptation (2) differential privacy (2) gradient descent (2) privacy protection (2) cross-entropy loss (2) recursive least squares (2) knowledge distillation (2) ridge regression (2) visual question answering (1) domain generalization (1) online learning (1) few-shot learning (1)

Papers

ARGUS: Defending Against Multimodal Indirect Prompt Injection via Steering Instruction-Following Behavior CVPR 2026 MixKVQ: Query-Aware Mixed-Precision KV Cache Quantization for Long-Context Reasoning ACL 2026 RCP-Merging: Merging Long Chain-of-Thought Models with Domain-Specific Models by Considering Reasoning Capability as Prior AAAI 2026 Rep Deep & Machine Learning: Exemplar-Free Continual Video Action Recognition via Slow-Fast Collaborative Learning AAAI 2026 SciEducator: Scientific Video Understanding and Educating via Deming-Cycle Multi-Agent System CVPR 2026 AFL: A Single-Round Analytic Approach for Federated Learning with Pre-trained Models CVPR 2025 AnalyticKWS: Towards Exemplar-Free Analytic Class Incremental Learning for Small-footprint Keyword Spotting ACL 2025 Any-SSR: How Recursive Least Squares Works in Continual Learning of Large Language Model ICCV 2025 GenderAlign: An Alignment Dataset for Mitigating Gender Bias in Large Language Models ACL 2025 L3A: Label-Augmented Analytic Adaptation for Multi-Label Class Incremental Learning ICML 2025 PrivacyRestore: Privacy-Preserving Inference in Large Language Models via Privacy Removal and Restoration ACL 2025 ReFu: Recursive Fusion for Exemplar-Free 3D Class-Incremental Learning WACV 2025 RewardDS: Privacy-Preserving Fine-Tuning for Large Language Models via Reward Driven Data Synthesis EMNLP 2025 SEA: Low-Resource Safety Alignment for Multimodal Large Language Models via Synthetic Embeddings ACL 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 Advancing Cross-domain Discriminability in Continual Learning of Vision-Language Models NeurIPS 2024 ConsistentEE: A Consistent and Hardness-Guided Early Exiting Method for Accelerating Language Models Inference AAAI 2024 DS-AL: A Dual-Stream Analytic Learning for Exemplar-Free Class-Incremental Learning AAAI 2024 F-OAL: Forward-only Online Analytic Learning with Fast Training and Low Memory Footprint in Class Incremental Learning NeurIPS 2024 GACL: Exemplar-Free Generalized Analytic Continual Learning NeurIPS 2024 Mitigating Privacy Risk in Membership Inference by Convex-Concave Loss ICML 2024 Zero-shot Event Detection Using a Textual Entailment Model as an Enhanced Annotator COLING 2024 GKEAL: Gaussian Kernel Embedded Analytic Learning for Few-Shot Class Incremental Task CVPR 2023 Mitigating Memorization of Noisy Labels by Clipping the Model Prediction ICML 2023 ACIL: Analytic Class-Incremental Learning with Absolute Memorization and Privacy Protection NeurIPS 2022 Accumulated Decoupled Learning with Gradient Staleness Mitigation for Convolutional Neural Networks ICML 2021