Yue Huang
60 papers · 2014–2026 · 12 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π Conference Polyglot (12) πΊοΈ Taxonomy Completionist (10) π Interdisciplinary Bridge π Academic Marathon (11)
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Academic Marathon
(11)
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Cross-Pollinator
(14)
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Renaissance Researcher
(7)
π€
Dynamic Duo
(26)
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Grand Slam
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Deep Specialist
(12)
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Topic Evolution
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Triple Crown
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Mega-Team
(71)
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Keyword Collector
(221)
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Prolific Year
(9)
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Conference Pioneer
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Century Club
(50)
π₯
Unstoppable
(12)
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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)
Top co-authors
Keywords
large language model
(8)
domain generalization
(6)
image restoration
(6)
unsupervised learning
(6)
feature alignment
(5)
domain adaptation
(4)
model evaluation
(4)
object detection
(4)
image fusion
(4)
open-set recognition
(3)
convolutional neural network
(3)
transfer learning
(3)
foundation model
(3)
semantic segmentation
(2)
image denoising
(2)
ai safety
(2)
evaluation framework
(2)
visual question answering
(2)
representation learning
(2)
self-supervised learning
(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