Yue Huang

AlphaContext: An Evolutionary Tree-based Psychometric Context Generator for Creativity Assessment ACL 2026 AsFT: Anchoring Safety During LLM Fine-Tuning Within Narrow Safety Basin AAAI 2026 Better Datasets Start from RefineLab: Automatic Optimization for High-Quality Dataset Refinement 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 Gradient-Guided Multi-Judge Prompt Optimization ACL 2026 RiskLab: A Controlled Toolkit for Probing Emergent Risks in LLM-Based Multi-Agent Systems ACL 2026 RMO: Towards Better LLM Alignment via Reshaping Reward Margin Distributions AAAI 2026 SPA: Achieving Consensus in LLM Alignment via Self-Priority Optimization AAAI 2026 TASE: Token Awareness and Structured Evaluation for Multilingual Language Models AAAI 2026 Thinking in Dynamics: How Multimodal Large Language Models Perceive, Track, and Reason Dynamics in Physical 4D World CVPR 2026 Accelerated Diffusion via High-Low Frequency Decomposition for Pan-Sharpening AAAI 2025 Artificial Intelligence in Spectroscopy: Advancing Chemistry from Prediction To Generation and Beyond IJCAI 2025 ASGS: Single-Domain Generalizable Open-Set Object Detection via Adaptive Subgraph Searching ICCV 2025 Beyond Single-Value Metrics: Evaluating and Enhancing LLM Unlearning with Cognitive Diagnosis ACL 2025 Cross-Lingual Pitfalls: Automatic Probing Cross-Lingual Weakness of Multilingual Large Language Models ACL 2025 DataGen: Unified Synthetic Dataset Generation via Large Language Models ICLR 2025 Demeaned Sparse: Efficient Anomaly Detection by Residual Estimate ICML 2025 Differential Privacy in Distributed Learning: Beyond Uniformly Bounded Stochastic Gradients AISTATS 2025 Dissecting Generalized Category Discovery: Multiplex Consensus under Self-Deconstruction ICCV 2025 Dissecting Logical Reasoning in LLMs: A Fine-Grained Evaluation and Supervision Study EMNLP 2025 DPLUT: Unsupervised Low-light Image Enhancement with Lookup Tables and Diffusion Priors AAAI 2025 EmoNest: Crafting Emotionally-Adaptive Experiences with Generative AI NeurIPS 2025 GUI-World: A Video Benchmark and Dataset for Multimodal GUI-oriented Understanding ICLR 2025 Interleaved Scene Graphs for Interleaved Text-and-Image Generation Assessment ICLR 2025 Justice or Prejudice? Quantifying Biases in LLM-as-a-Judge ICLR 2025 OCRT: Boosting Foundation Models in the Open World with Object-Concept-Relation Triad CVPR 2025 Sp3ctralMamba: Physics-Driven Joint State Space Model for Hyperspectral Image Reconstruction AAAI 2025 STAMPsy: Towards SpatioTemporal-Aware Mixed-Type Dialogues for Psychological Counseling AAAI 2025 The Prosodic Characteristics of Standard Chinese Rhetorical Questions in Naturalistic Settings Interspeech 2025 Track Any Anomalous Object:A Granular Video Anomaly Detection Pipeline CVPR 2025 TRUSTEVAL: A Dynamic Evaluation Toolkit on Trustworthiness of Generative Foundation Models NAACL 2025 UPME: An Unsupervised Peer Review Framework for Multimodal Large Language Model Evaluation CVPR 2025 1+1>2: Can Large Language Models Serve as Cross-Lingual Knowledge Aggregators? EMNLP 2024 AlignBench: Benchmarking Chinese Alignment of Large Language Models ACL 2024 Flaws can be Applause: Unleashing Potential of Segmenting Ambiguous Objects in SAM NeurIPS 2024 HonestLLM: Toward an Honest and Helpful Large Language Model NeurIPS 2024 LLM-as-a-Coauthor: Can Mixed Human-Written and Machine-Generated Text Be Detected? NAACL 2024 MetaTool Benchmark for Large Language Models: Deciding Whether to Use Tools and Which to Use ICLR 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 Progressive High-Frequency Reconstruction for Pan-Sharpening with Implicit Neural Representation AAAI 2024 Activate and Reject: Towards Safe Domain Generalization under Category Shift ICCV 2023 CODA: Generalizing to Open and Unseen Domains with Compaction and Disambiguation NeurIPS 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 Mix and Reason: Reasoning over Semantic Topology with Data Mixing for Domain Generalization NeurIPS 2022 Uncertainty Inspired Underwater Image Enhancement ECCV 2022 Unsupervised Underwater Image Restoration: From a Homology Perspective AAAI 2022 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 Noise2Grad: Extract Image Noise to Denoise IJCAI 2021 Harmonizing Transferability and Discriminability for Adapting Object Detectors CVPR 2020 A Variational Pan-Sharpening With Local Gradient Constraints CVPR 2019 Deep Blind Hyperspectral Image Fusion ICCV 2019 Progressive Feature Alignment for Unsupervised Domain Adaptation 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