Huimin Zeng
24 papers · 2021–2026 · 10 venues · across top CS/AI venues
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misinformation detection
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contrastive learning
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representation learning
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domain adaptation
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federated learning
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vision-language model
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retrieval-augmented generation
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self-supervised learning
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large language model
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sequential recommendation
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few-shot learning
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graph learning
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zero-shot learning
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video enhancement
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image restoration
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feature alignment
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domain generalization
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claim verification
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temporal modeling
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in-context learning
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Papers
ACBQ: Adaptive Cross-Block Quantization of Large Language Models
ACL 2026
Arbitrary-Scale 3D Gaussian Super-Resolution
AAAI 2026
Multi-Agent-as-Judge: Aligning LLM-Agent-Based Automated Evaluation with Multi-Dimensional Human Evaluation
ACL 2026
Physically Inspired Gaussian Splatting for HDR Novel View Synthesis
CVPR 2026
Revealing the Seen, Imagining the Beyond: A Survey of Image-Grounded Chain-of-Thought Reasoning in Multimodal LLMs
ACL 2026
All-in-One Image Compression and Restoration
WACV 2025
A Non-Contrastive Learning Framework for Sequential Recommendation with Preference-Preserving Profile Generation
ICLR 2025
Plug-and-Play Versatile Compressed Video Enhancement
CVPR 2025
Evidence-Driven Retrieval Augmented Response Generation for Online Misinformation
NAACL 2024
Fair Federated Learning with Biased Vision-Language Models
ACL 2024
MarineInst: A Foundation Model for Marine Image Analysis with Instance Visual Description
ECCV 2024
Open-Vocabulary Federated Learning with Multimodal Prototyping
NAACL 2024
Retrieval Augmented Fact Verification by Synthesizing Contrastive Arguments
ACL 2024
Train Once, Deploy Anywhere: Matryoshka Representation Learning for Multimodal Recommendation
EMNLP 2024
A Crowd-AI Collaborative Duo Relational Graph Learning Framework towards Social Impact Aware Photo Classification
AAAI 2023
MetaAdapt: Domain Adaptive Few-Shot Misinformation Detection via Meta Learning
ACL 2023
On Adversarial Robustness of Demographic Fairness in Face Attribute Recognition
IJCAI 2023
On Optimizing Model Generality in AI-based Disaster Damage Assessment: A Subjective Logic-driven Crowd-AI Hybrid Learning Approach
IJCAI 2023
Zero- and Few-Shot Event Detection via Prompt-Based Meta Learning
ACL 2023
Crowd, Expert & AI: A Human-AI Interactive Approach Towards Natural Language Explanation Based COVID-19 Misinformation Detection
IJCAI 2022
Domain Adaptation for Question Answering via Question Classification
COLING 2022
On Attacking Out-Domain Uncertainty Estimation in Deep Neural Networks
IJCAI 2022
QA Domain Adaptation using Hidden Space Augmentation and Self-Supervised Contrastive Adaptation
EMNLP 2022
Are Adversarial Examples Created Equal? A Learnable Weighted Minimax Risk for Robustness under Non-uniform Attacks
AAAI 2021