Zi Huang

41 papers · 2016–2026 · 12 conferences · across top CS/AI conferences

Achievements

+13 more ↓

🌍 Conference Polyglot (12) 🏃 Academic Marathon (10) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🐣 Hot Topic Early Bird

🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🗺️ Taxonomy Completionist (82) 🤝 Dynamic Duo (17) 🏆 Grand Slam 🧬 Topic Evolution 💎 Century Club (40) 🚀 Conference Pioneer ⚡ Prolific Year (6) 📈 Trend Setter 🗃️ Keyword Collector (185) ❓ The Questioner (2) 🔥 Unstoppable (8)

Conferences

ICCV (8) AAAI (6) CVPR (5) ICLR (4) IJCAI (4) NIPS (4) WACV (3) ACL (2) EMNLP (2) ICML (1) INTERSPEECH (1) NAACL (1)

Top co-authors

Yadan Luo (17) Mahsa Baktashmotlagh (11) Zijian Wang (8) Jingjing Li (6) Sen Wang (6) Yang Yang (6) Ruihong Qiu (6) Heng Tao Shen (5) Zhuoxiao Chen (5) Zhi Chen (4)

Keywords

zero-shot learning (6) vision-language model (4) graph neural network (4) semantic embedding (3) adversarial learning (3) attention mechanism (3) reinforcement learning (3) feature learning (3) out-of-distribution detection (2) adversarial attack (2) generative adversarial network (2) transfer learning (2) representation learning (2) image synthesis (2) few-shot learning (2) domain adaptation (2) multi-task learning (2) contrastive learning (2) information theory (2) object detection (2)

Papers

SCORE: Soft Label Compression-Centric Dataset Condensation via Coding Rate Optimization WACV 2026 TRN-R1-Zero: Text-rich Network Reasoning via LLMs with Reinforcement Learning Only ACL 2026 Making Every Step Effective: Jailbreaking Large Vision-Language Models Through Hierarchical KV Equalization EMNLP 2025 SVIP: Semantically Contextualized Visual Patches for Zero-Shot Learning ICCV 2025 Is Less More? Exploring Token Condensation as Training-free Test-time Adaptation ICCV 2025 Exploring Visual Vulnerabilities via Multi-Loss Adversarial Search for Jailbreaking Vision-Language Models CVPR 2025 Text Meets Topology: Rethinking Out-of-distribution Detection in Text-Rich Networks EMNLP 2025 GOLD: Graph Out-of-Distribution Detection via Implicit Adversarial Latent Generation ICLR 2025 MOS: Model Synergy for Test-Time Adaptation on LiDAR-Based 3D Object Detection ICLR 2025 Abstract and Explore: A Novel Behavioral Metric with Cyclic Dynamics in Reinforcement Learning AAAI 2024 Color-Oriented Redundancy Reduction in Dataset Distillation NIPS 2024 CIFAR-10-Warehouse: Broad and More Realistic Testbeds in Model Generalization Analysis ICLR 2024 DiPEx: Dispersing Prompt Expansion for Class-Agnostic Object Detection NIPS 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 How Far Pre-trained Models Are from Neural Collapse on the Target Dataset Informs their Transferability ICCV 2023 RVD: A Handheld Device-Based Fundus Video Dataset for Retinal Vessel Segmentation NIPS 2023 FFM: Injecting Out-of-Domain Knowledge via Factorized Frequency Modification WACV 2023 Abstract then Play: A Skill-centric Reinforcement Learning Framework for Text-based Games ACL 2023 Object-Goal Visual Navigation via Effective Exploration of Relations Among Historical Navigation States CVPR 2023 Exploring Active 3D Object Detection from a Generalization Perspective ICLR 2023 KECOR: Kernel Coding Rate Maximization for Active 3D Object Detection ICCV 2023 Revisiting Domain-Adaptive 3D Object Detection by Reliable, Diverse and Class-balanced Pseudo-Labeling ICCV 2023 ADFF: Attention Based Deep Feature Fusion Approach for Music Emotion Recognition INTERSPEECH 2022 Improved Feature Distillation via Projector Ensemble NIPS 2022 Learning To Diversify for Single Domain Generalization ICCV 2021 Discovering Collaborative Signals for Next POI Recommendation with Iterative Seq2Graph Augmentation IJCAI 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 Progressive Graph Learning for Open-Set Domain Adaptation ICML 2020 Human Consensus-Oriented Image Captioning IJCAI 2020 Learning from the Past: Continual Meta-Learning with Bayesian Graph Neural Networks AAAI 2020 MR-NET: Exploiting Mutual Relation for Visual Relationship Detection AAAI 2019 SADIH: Semantic-Aware DIscrete Hashing AAAI 2019 Leveraging the Invariant Side of Generative Zero-Shot Learning CVPR 2019 From Zero-Shot Learning to Cold-Start Recommendation AAAI 2019 Multi-Attention Network for One Shot Learning CVPR 2017 Leveraging Weak Semantic Relevance for Complex Video Event Classification ICCV 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