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Yue Huang

60 papers · 2014–2026 · 12 conferences · across top CS/AI conferences

Achievements

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+15 more ↓ 🧭 Keyword Pioneer 🌍 Conference Polyglot (12) πŸ—ΊοΈ Taxonomy Completionist (10) πŸŒ‰ Interdisciplinary Bridge πŸƒ Academic Marathon (11)
πŸƒ Academic Marathon (11) 🐝 Cross-Pollinator (14) 🌈 Renaissance Researcher (7) 🀝 Dynamic Duo (26) πŸ† Grand Slam πŸ”¬ Deep Specialist (12) 🧬 Topic Evolution πŸ‘‘ Triple Crown πŸ‘₯ Mega-Team (71) πŸ—ƒοΈ Keyword Collector (221) ⚑ Prolific Year (9) πŸš€ Conference Pioneer πŸ’Ž Century Club (50) πŸ”₯ Unstoppable (12) ❓ The Questioner (3)

Conferences

AAAI (14) CVPR (10) ACL (7) ICCV (7) ICLR (5) NIPS (4) ECCV (3) AISTATS (2) EMNLP (2) ICML (2) IJCAI (2) NAACL (2)

Papers

TASE: Token Awareness and Structured Evaluation for Multilingual Language Models AAAI 2026 Better Datasets Start from RefineLab: Automatic Optimization for High-Quality Dataset Refinement AAAI 2026 SPA: Achieving Consensus in LLM Alignment via Self-Priority Optimization AAAI 2026 AsFT: Anchoring Safety During LLM Fine-Tuning Within Narrow Safety Basin AAAI 2026 Decompose and Attribute: Boosting Generalizable Open-Set Object Detection via Objectness Score AAAI 2026 FCMO: A Flow-Curv Mamba Operator for Large-Scale 3D Vehicle Aerodynamics AAAI 2026 RMO: Towards Better LLM Alignment via Reshaping Reward Margin Distributions AAAI 2026 RiskLab: A Controlled Toolkit for Probing Emergent Risks in LLM-Based Multi-Agent Systems ACL 2026 AlphaContext: An Evolutionary Tree-based Psychometric Context Generator for Creativity Assessment ACL 2026 Gradient-Guided Multi-Judge Prompt Optimization ACL 2026 Beyond Single-Value Metrics: Evaluating and Enhancing LLM Unlearning with Cognitive Diagnosis ACL 2025 DPLUT: Unsupervised Low-light Image Enhancement with Lookup Tables and Diffusion Priors AAAI 2025 Sp3ctralMamba: Physics-Driven Joint State Space Model for Hyperspectral Image Reconstruction AAAI 2025 Accelerated Diffusion via High-Low Frequency Decomposition for Pan-Sharpening AAAI 2025 STAMPsy: Towards SpatioTemporal-Aware Mixed-Type Dialogues for Psychological Counseling AAAI 2025 Cross-Lingual Pitfalls: Automatic Probing Cross-Lingual Weakness of Multilingual Large Language Models ACL 2025 Differential Privacy in Distributed Learning: Beyond Uniformly Bounded Stochastic Gradients AISTATS 2025 OCRT: Boosting Foundation Models in the Open World with Object-Concept-Relation Triad CVPR 2025 UPME: An Unsupervised Peer Review Framework for Multimodal Large Language Model Evaluation CVPR 2025 Track Any Anomalous Object:A Granular Video Anomaly Detection Pipeline CVPR 2025 Dissecting Logical Reasoning in LLMs: A Fine-Grained Evaluation and Supervision Study EMNLP 2025 ASGS: Single-Domain Generalizable Open-Set Object Detection via Adaptive Subgraph Searching ICCV 2025 Dissecting Generalized Category Discovery: Multiplex Consensus under Self-Deconstruction ICCV 2025 DataGen: Unified Synthetic Dataset Generation via Large Language Models ICLR 2025 Interleaved Scene Graphs for Interleaved Text-and-Image Generation Assessment ICLR 2025 GUI-World: A Video Benchmark and Dataset for Multimodal GUI-oriented Understanding ICLR 2025 Justice or Prejudice? Quantifying Biases in LLM-as-a-Judge ICLR 2025 Demeaned Sparse: Efficient Anomaly Detection by Residual Estimate ICML 2025 Artificial Intelligence in Spectroscopy: Advancing Chemistry from Prediction To Generation and Beyond IJCAI 2025 TRUSTEVAL: A Dynamic Evaluation Toolkit on Trustworthiness of Generative Foundation Models NAACL 2025 1+1>2: Can Large Language Models Serve as Cross-Lingual Knowledge Aggregators? EMNLP 2024 MLeVLM: Improve Multi-level Progressive Capabilities based on Multimodal Large Language Model for Medical Visual Question Answering ACL 2024 MetaTool Benchmark for Large Language Models: Deciding Whether to Use Tools and Which to Use ICLR 2024 AlignBench: Benchmarking Chinese Alignment of Large Language Models ACL 2024 Progressive High-Frequency Reconstruction for Pan-Sharpening with Implicit Neural Representation AAAI 2024 Position: TrustLLM: Trustworthiness in Large Language Models ICML 2024 Flaws can be Applause: Unleashing Potential of Segmenting Ambiguous Objects in SAM NIPS 2024 HonestLLM: Toward an Honest and Helpful Large Language Model NIPS 2024 LLM-as-a-Coauthor: Can Mixed Human-Written and Machine-Generated Text Be Detected? NAACL 2024 Activate and Reject: Towards Safe Domain Generalization under Category Shift ICCV 2023 CODA: Generalizing to Open and Unseen Domains with Compaction and Disambiguation NIPS 2023 Learning a Simple Low-Light Image Enhancer From Paired Low-Light Instances CVPR 2023 Self-Supervised Image Denoising Using Implicit Deep Denoiser Prior AAAI 2023 Knowledge Condensation Distillation ECCV 2022 Uncertainty Inspired Underwater Image Enhancement ECCV 2022 Unsupervised Underwater Image Restoration: From a Homology Perspective AAAI 2022 Mix and Reason: Reasoning over Semantic Topology with Data Mixing for Domain Generalization NIPS 2022 I3Net: Implicit Instance-Invariant Network for Adapting One-Stage Object Detectors CVPR 2021 Noise2Grad: Extract Image Noise to Denoise IJCAI 2021 Dual Bipartite Graph Learning: A General Approach for Domain Adaptive Object Detection ICCV 2021 Harmonizing Transferability and Discriminability for Adapting Object Detectors CVPR 2020 Progressive Feature Alignment for Unsupervised Domain Adaptation CVPR 2019 Deep Blind Hyperspectral Image Fusion ICCV 2019 A Variational Pan-Sharpening With Local Gradient Constraints CVPR 2019 A Segmentation-aware Deep Fusion Network for Compressed Sensing MRI ECCV 2018 PanNet: A Deep Network Architecture for Pan-Sharpening ICCV 2017 Removing Rain From Single Images via a Deep Detail Network CVPR 2017 A Weighted Variational Model for Simultaneous Reflectance and Illumination Estimation CVPR 2016 Pan-Sharpening With a Hyper-Laplacian Penalty ICCV 2015 Pan-sharpening with a Bayesian nonparametric dictionary learning model AISTATS 2014