Yue Huang

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

Achievements

🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🗺️ Taxonomy Completionist (10) 🧭 Keyword Pioneer 🌍 Conference Polyglot (12) 🏃 Academic Marathon (11) 🐝 Cross-Pollinator (14) 🌈 Renaissance Researcher (7) 🤝 Dynamic Duo (26) 🏆 Grand Slam 🔬 Deep Specialist (12) 🧬 Topic Evolution 👑 Triple Crown 👥 Mega-Team (71) 🗃️ Keyword Collector (221) ⚡ Prolific Year (9) 🚀 Conference Pioneer 💎 Century Club (50) 🔥 Unstoppable (12) ❓ The Questioner (3)

Conferences

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

Top co-authors

Xinghao Ding (27) Xiangliang Zhang (13) Chaoqi Chen (11) Qihui Zhang (9) Lichao Sun (8) John Paisley (7) Siyuan Wu (7) Luyao Tang (7) Xiaotong Tu (6) Chujie Gao (6)

Keywords

domain generalization (6) large language model (6) image restoration (6) unsupervised learning (6) feature alignment (5) object detection (4) image fusion (4) model evaluation (4) domain adaptation (4) transfer learning (3) open-set recognition (3) convolutional neural network (3) foundation model (3) semantic segmentation (2) ai safety (2) image denoising (2) evaluation framework (2) self-supervised learning (2) representation learning (2) visual question answering (2)

Papers

TASE: Token Awareness and Structured Evaluation for Multilingual Language Models AAAI 2026

AsFT: Anchoring Safety During LLM Fine-Tuning Within Narrow Safety Basin AAAI 2026

RMO: Towards Better LLM Alignment via Reshaping Reward Margin Distributions AAAI 2026

Better Datasets Start from RefineLab: Automatic Optimization for High-Quality Dataset Refinement AAAI 2026

FCMO: A Flow-Curv Mamba Operator for Large-Scale 3D Vehicle Aerodynamics AAAI 2026

SPA: Achieving Consensus in LLM Alignment via Self-Priority Optimization AAAI 2026

Decompose and Attribute: Boosting Generalizable Open-Set Object Detection via Objectness Score AAAI 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

MetaTool Benchmark for Large Language Models: Deciding Whether to Use Tools and Which to Use ICLR 2024

Progressive High-Frequency Reconstruction for Pan-Sharpening with Implicit Neural Representation AAAI 2024

MLeVLM: Improve Multi-level Progressive Capabilities based on Multimodal Large Language Model for Medical Visual Question Answering ACL 2024

Position: TrustLLM: Trustworthiness in Large Language Models ICML 2024

1+1>2: Can Large Language Models Serve as Cross-Lingual Knowledge Aggregators? EMNLP 2024

LLM-as-a-Coauthor: Can Mixed Human-Written and Machine-Generated Text Be Detected? NAACL 2024

AlignBench: Benchmarking Chinese Alignment of Large Language Models ACL 2024

HonestLLM: Toward an Honest and Helpful Large Language Model NIPS 2024

Flaws can be Applause: Unleashing Potential of Segmenting Ambiguous Objects in SAM NIPS 2024

Self-Supervised Image Denoising Using Implicit Deep Denoiser Prior AAAI 2023

Learning a Simple Low-Light Image Enhancer From Paired Low-Light Instances CVPR 2023

CODA: Generalizing to Open and Unseen Domains with Compaction and Disambiguation NIPS 2023

Activate and Reject: Towards Safe Domain Generalization under Category Shift ICCV 2023

Knowledge Condensation Distillation ECCV 2022

Unsupervised Underwater Image Restoration: From a Homology Perspective AAAI 2022

Uncertainty Inspired Underwater Image Enhancement ECCV 2022

Mix and Reason: Reasoning over Semantic Topology with Data Mixing for Domain Generalization NIPS 2022

Noise2Grad: Extract Image Noise to Denoise IJCAI 2021

Dual Bipartite Graph Learning: A General Approach for Domain Adaptive Object Detection ICCV 2021

I3Net: Implicit Instance-Invariant Network for Adapting One-Stage Object Detectors CVPR 2021

Harmonizing Transferability and Discriminability for Adapting Object Detectors CVPR 2020

Progressive Feature Alignment for Unsupervised Domain Adaptation CVPR 2019

A Variational Pan-Sharpening With Local Gradient Constraints CVPR 2019

Deep Blind Hyperspectral Image Fusion ICCV 2019

A Segmentation-aware Deep Fusion Network for Compressed Sensing MRI ECCV 2018

Removing Rain From Single Images via a Deep Detail Network CVPR 2017

PanNet: A Deep Network Architecture for Pan-Sharpening ICCV 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