Zi Huang
45 papers · 2016–2026 · 12 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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πΊοΈ Taxonomy Completionist (83) π Conference Polyglot Β· Gold π Academic Marathon Β· Half π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Grand Slam
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Topic Evolution
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Keyword Pioneer
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Dynamic Duo
(21)
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Conference Pioneer
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Unstoppable Β· Bronze
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The Questioner
(2)
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Prolific Year Β· Productive
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Century Club Β· Bronze
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Renaissance Researcher
(6)
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Trend Setter
ποΈ
Keyword Collector
(217)
Venues
Top co-authors
Research topics
Machine Learning
(30)
Deep Learning
(26)
Artificial Intelligence
(21)
Learning Types Β· Machine Learning
(20)
Learning Types Β· Deep Learning
(18)
Computer Vision
(17)
Core AI
(15)
Application Areas
(14)
Analysis
(10)
Architectures
(10)
Core Methods
(7)
Domain-Specific
(7)
Learning Paradigms
(6)
Models
(4)
Techniques
(4)
Keywords
zero-shot learning
(6)
vision-language model
(6)
graph neural network
(5)
adversarial learning
(4)
3d object detection
(3)
semantic embedding
(3)
feature learning
(3)
domain adaptation
(3)
attention mechanism
(3)
reinforcement learning
(3)
large language model
(3)
image synthesis
(2)
point cloud
(2)
representation learning
(2)
active learning
(2)
test-time adaptation
(2)
contrastive learning
(2)
object detection
(2)
self-supervised learning
(2)
few-shot learning
(2)
Papers
Language-driven Fine-grained Retrieval
CVPR 2026
MergeVLA: Cross-Skill Model Merging Toward a Generalist Vision-Language-Action Agent
CVPR 2026
SCORE: Soft Label Compression-Centric Dataset Condensation via Coding Rate Optimization
WACV 2026
TALO: Pushing 3D Vision Foundation Models Towards Globally Consistent Online Reconstruction
CVPR 2026
Test-Time 3D Occupancy Prediction
CVPR 2026
TRN-R1-Zero: Text-rich Network Reasoning via LLMs with Reinforcement Learning Only
ACL 2026
Exploring Visual Vulnerabilities via Multi-Loss Adversarial Search for Jailbreaking Vision-Language Models
CVPR 2025
GOLD: Graph Out-of-Distribution Detection via Implicit Adversarial Latent Generation
ICLR 2025
Is Less More? Exploring Token Condensation as Training-free Test-time Adaptation
ICCV 2025
Making Every Step Effective: Jailbreaking Large Vision-Language Models Through Hierarchical KV Equalization
EMNLP 2025
MOS: Model Synergy for Test-Time Adaptation on LiDAR-Based 3D Object Detection
ICLR 2025
SVIP: Semantically Contextualized Visual Patches for Zero-Shot Learning
ICCV 2025
Text Meets Topology: Rethinking Out-of-distribution Detection in Text-Rich Networks
EMNLP 2025
Abstract and Explore: A Novel Behavioral Metric with Cyclic Dynamics in Reinforcement Learning
AAAI 2024
CIFAR-10-Warehouse: Broad and More Realistic Testbeds in Model Generalization Analysis
ICLR 2024
Color-Oriented Redundancy Reduction in Dataset Distillation
NeurIPS 2024
DiPEx: Dispersing Prompt Expansion for Class-Agnostic Object Detection
NeurIPS 2024
Event-Content-Oriented Dialogue Generation in Short Video
NAACL 2024
Why Only Text: Empowering Vision-and-Language Navigation with Multi-modal Prompts
IJCAI 2024
Abstract then Play: A Skill-centric Reinforcement Learning Framework for Text-based Games
ACL 2023
Exploring Active 3D Object Detection from a Generalization Perspective
ICLR 2023
FFM: Injecting Out-of-Domain Knowledge via Factorized Frequency Modification
WACV 2023
How Far Pre-trained Models Are from Neural Collapse on the Target Dataset Informs their Transferability
ICCV 2023
KECOR: Kernel Coding Rate Maximization for Active 3D Object Detection
ICCV 2023
Object-Goal Visual Navigation via Effective Exploration of Relations Among Historical Navigation States
CVPR 2023
Revisiting Domain-Adaptive 3D Object Detection by Reliable, Diverse and Class-balanced Pseudo-Labeling
ICCV 2023
RVD: A Handheld Device-Based Fundus Video Dataset for Retinal Vessel Segmentation
NeurIPS 2023
ADFF: Attention Based Deep Feature Fusion Approach for Music Emotion Recognition
Interspeech 2022
Improved Feature Distillation via Projector Ensemble
NeurIPS 2022
Discovering Collaborative Signals for Next POI Recommendation with Iterative Seq2Graph Augmentation
IJCAI 2021
Learning To Diversify for Single Domain Generalization
ICCV 2021
Proactive Privacy-preserving Learning for Retrieval
AAAI 2021
Semantics Disentangling for Generalized Zero-Shot Learning
ICCV 2021
CANZSL: Cycle-Consistent Adversarial Networks for Zero-Shot Learning from Natural Language
WACV 2020
Human Consensus-Oriented Image Captioning
IJCAI 2020
Learning from the Past: Continual Meta-Learning with Bayesian Graph Neural Networks
AAAI 2020
Progressive Graph Learning for Open-Set Domain Adaptation
ICML 2020
From Zero-Shot Learning to Cold-Start Recommendation
AAAI 2019
Leveraging the Invariant Side of Generative Zero-Shot Learning
CVPR 2019
MR-NET: Exploiting Mutual Relation for Visual Relationship Detection
AAAI 2019
SADIH: Semantic-Aware DIscrete Hashing
AAAI 2019
Leveraging Weak Semantic Relevance for Complex Video Event Classification
ICCV 2017
Multi-Attention Network for One Shot Learning
CVPR 2017
A Unified Framework for Discrete Spectral Clustering
IJCAI 2016
What's Wrong With That Object? Identifying Images of Unusual Objects by Modelling the Detection Score Distribution
CVPR 2016