Yang Song

Reasoning’s Razor: Reasoning Improves Accuracy but Hurts Recall at Critical Operating Points in Safety and Hallucination Detection EACL 2026 Principles2Plan: LLM-Guided System for Operationalising Ethical Principles into Plans AAAI 2026 Relative Advantage Debiasing for Watch-Time Prediction in Short-Video Recommendation AAAI 2026 IPS: In-Prompt Process Supervision for Short Video Content Moderation ACL 2026 RAG-Star: Enhancing Deliberative Reasoning with Retrieval Augmented Verification and Refinement NAACL 2025 Spatially Gene Expression Prediction using Dual-Scale Contrastive Learning MICCAI 2025 Memory-Augmented Incomplete Multimodal Survival Prediction via Cross-Slide and Gene-Attentive Hypergraph Learning MICCAI 2025 Location-Aware Parameter Fine-Tuning for Multimodal Image Segmentation MICCAI 2025 Hypergraph Tversky-Aware Domain Incremental Learning for Brain Tumor Segmentation with Missing Modalities MICCAI 2025 MANTA: A Large-Scale Multi-View and Visual-Text Anomaly Detection Dataset for Tiny Objects CVPR 2025 Prototype-Based Image Prompting for Weakly Supervised Histopathological Image Segmentation CVPR 2025 Reasoning-Enhanced Domain-Adaptive Pretraining of Multimodal Large Language Models for Short Video Content Governance EMNLP 2025 Following the Autoregressive Nature of LLM Embeddings via Compression and Alignment EMNLP 2025 Multimodal Cancer Survival Analysis via Hypergraph Learning with Cross-Modality Rebalance IJCAI 2025 Granularity-Adaptive Spatial Evidence Tokenization for Video Question Answering AAAI 2025 GRPose: Learning Graph Relations for Human Image Generation with Pose Priors AAAI 2025 Trigger3:Refining Query Correction via Adaptive Model Selector AAAI 2025 Preference-Oriented Supervised Fine-Tuning: Favoring Target Model over Aligned Large Language Models AAAI 2025 Energy-Based Preference Model Offers Better Offline Alignment than the Bradley-Terry Preference Model ICML 2025 KG-Agent: An Efficient Autonomous Agent Framework for Complex Reasoning over Knowledge Graph ACL 2025 Simplifying, Stabilizing and Scaling Continuous-time Consistency Models ICLR 2025 Structure based SAT dataset for analysing GNN generalisation AISTATS 2025 ReDeEP: Detecting Hallucination in Retrieval-Augmented Generation via Mechanistic Interpretability ICLR 2025 Pyramidal Flow Matching for Efficient Video Generative Modeling ICLR 2025 Can a Large Language Model be a Gaslighter? ICLR 2025 Making Transformer Decoders Better Differentiable Indexers ICLR 2025 Mix-CPT: A Domain Adaptation Framework via Decoupling Knowledge Learning and Format Alignment ICLR 2025 RecFlow: An Industrial Full Flow Recommendation Dataset ICLR 2025 Salvaging the Overlooked: Leveraging Class-Aware Contrastive Learning for Multi-Class Anomaly Detection ICCV 2025 Lock on Target! Precision Unlearning via Directional Control EMNLP 2025 Temporal Alignment of Time Sensitive Facts with Activation Engineering EMNLP 2025 From Long Videos to Engaging Clips: A Human-Inspired Video Editing Framework with Multimodal Narrative Understanding EMNLP 2025 Interpretable Image Classification via Non-parametric Part Prototype Learning CVPR 2025 Improving Diffusion Inverse Problem Solving with Decoupled Noise Annealing CVPR 2025 PEACE: Empowering Geologic Map Holistic Understanding with MLLMs CVPR 2025 Video-LaVIT: Unified Video-Language Pre-training with Decoupled Visual-Motional Tokenization ICML 2024 Towards Effective Usage of Human-Centric Priors in Diffusion Models for Text-based Human Image Generation CVPR 2024 Enhancing Job Recommendation through LLM-Based Generative Adversarial Networks AAAI 2024 Your Career Path Matters in Person-Job Fit AAAI 2024 DistilVPR: Cross-Modal Knowledge Distillation for Visual Place Recognition AAAI 2024 Coupling Graph Neural Networks with Fractional Order Continuous Dynamics: A Robustness Study AAAI 2024 Improved Techniques for Training Consistency Models ICLR 2024 QFNU_CS at SemEval-2024 Task 3: A Hybrid Pre-trained Model based Approach for Multimodal Emotion-Cause Pair Extraction Task NAACL 2024 QFNU_CS at SemEval-2024 Task 3: A Hybrid Pre-trained Model based Approach for Multimodal Emotion-Cause Pair Extraction Task SEMEVAL 2024 Diffusion Posterior Sampling for Linear Inverse Problem Solving: A Filtering Perspective ICLR 2024 XTranPrune: eXplainability-aware Transformer Pruning for Bias Mitigation in Dermatological Disease Classification MICCAI 2024 Unleashing the Potential of Fractional Calculus in Graph Neural Networks with FROND ICLR 2024 GLOBE: A High-quality English Corpus with Global Accents for Zero-shot Speaker Adaptive Text-to-Speech INTERSPEECH 2024 Rewiring the Transformer with Depth-Wise LSTMs COLING 2024 Federated Adaptation for Foundation Model-based Recommendations IJCAI 2024 Mixture of In-Context Experts Enhance LLMs' Long Context Awareness NIPS 2024 RectifID: Personalizing Rectified Flow with Anchored Classifier Guidance NIPS 2024 Fully Distributed, Flexible Compositional Visual Representations via Soft Tensor Products NIPS 2024 Formalisation and Evaluation of Properties for Consequentialist Machine Ethics IJCAI 2024 PosDiffNet: Positional Neural Diffusion for Point Cloud Registration in a Large Field of View with Perturbations AAAI 2024 Decoupled Optimisation for Long-Tailed Visual Recognition AAAI 2024 Node Embedding from Neural Hamiltonian Orbits in Graph Neural Networks ICML 2023 HypLiLoc: Towards Effective LiDAR Pose Regression With Hyperbolic Fusion CVPR 2023 Adversarial Robustness in Graph Neural Networks: A Hamiltonian Approach NIPS 2023 Graph Neural Convection-Diffusion with Heterophily IJCAI 2023 Consistency Models ICML 2023 Generalizable Zero-Shot Speaker Adaptive Speech Synthesis with Disentangled Representations INTERSPEECH 2023 Maximizing Spatio-Temporal Entropy of Deep 3D CNNs for Efficient Video Recognition ICLR 2023 On the Robustness of Graph Neural Diffusion to Topology Perturbations NIPS 2022 Density Ratio Estimation via Infinitesimal Classification AISTATS 2022 Graph-Based Spatial Transformer With Memory Replay for Multi-Future Pedestrian Trajectory Prediction CVPR 2022 GrainSpace: A Large-Scale Dataset for Fine-Grained and Domain-Adaptive Recognition of Cereal Grains CVPR 2022 SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations ICLR 2022 Solving Inverse Problems in Medical Imaging with Score-Based Generative Models ICLR 2022 GeoDiff: A Geometric Diffusion Model for Molecular Conformation Generation ICLR 2022 PhotoChat: A Human-Human Dialogue Dataset With Photo Sharing Behavior For Joint Image-Text Modeling ACL 2021 Accelerating Feedforward Computation via Parallel Nonlinear Equation Solving ICML 2021 Fast WordPiece Tokenization EMNLP 2021 Improved Word Sense Disambiguation with Enhanced Sense Representations EMNLP 2021 Maximum Likelihood Training of Score-Based Diffusion Models NIPS 2021 Extremely Small BERT Models from Mixed-Vocabulary Training EACL 2021 Exploiting Edge-Oriented Reasoning for 3D Point-Based Scene Graph Analysis CVPR 2021 Imitation with Neural Density Models NIPS 2021 Stable Neural ODE with Lyapunov-Stable Equilibrium Points for Defending Against Adversarial Attacks NIPS 2021 Pseudo-Spherical Contrastive Divergence NIPS 2021 Walk in the Cloud: Learning Curves for Point Clouds Shape Analysis ICCV 2021 CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series Imputation NIPS 2021 PhotoChat: A Human-Human Dialogue Dataset With Photo Sharing Behavior For Joint Image-Text Modeling IJCNLP 2021 Learning Energy-Based Models by Diffusion Recovery Likelihood ICLR 2021 Anytime Sampling for Autoregressive Models via Ordered Autoencoding ICLR 2021 Improved Autoregressive Modeling with Distribution Smoothing ICLR 2021 Score-Based Generative Modeling through Stochastic Differential Equations ICLR 2021 Estimating High Order Gradients of the Data Distribution by Denoising NIPS 2021 Error-Correcting Output Codes with Ensemble Diversity for Robust Learning in Neural Networks AAAI 2021 Unsupervised Instance Segmentation in Microscopy Images via Panoptic Domain Adaptation and Task Re-Weighting CVPR 2020 Improving 3D Object Detection through Progressive Population Based Augmentation ECCV 2020 Permutation Invariant Graph Generation via Score-Based Generative Modeling AISTATS 2020 Training Deep Energy-Based Models with f-Divergence Minimization ICML 2020 Gaussianization Flows AISTATS 2020 Shape-Oriented Convolution Neural Network for Point Cloud Analysis AAAI 2020 Efficient Learning of Generative Models via Finite-Difference Score Matching NIPS 2020 Improved Techniques for Training Score-Based Generative Models NIPS 2020 Autoregressive Score Matching NIPS 2020 Diversity can be Transferred: Output Diversification for White- and Black-box Attacks NIPS 2020 Class-Balanced Loss Based on Effective Number of Samples CVPR 2019 Sliced Score Matching: A Scalable Approach to Density and Score Estimation UAI 2019 Representation Learning with Ordered Relation Paths for Knowledge Graph Completion IJCNLP 2019 Generative Modeling by Estimating Gradients of the Data Distribution NIPS 2019 MintNet: Building Invertible Neural Networks with Masked Convolutions NIPS 2019 Representation Learning with Ordered Relation Paths for Knowledge Graph Completion EMNLP 2019 Efficient Graph Generation with Graph Recurrent Attention Networks NIPS 2019 Domain Adaptation for Person-Job Fit with Transferable Deep Global Match Network IJCNLP 2019 Generating Long and Informative Reviews with Aspect-Aware Coarse-to-Fine Decoding ACL 2019 Domain Adaptation for Person-Job Fit with Transferable Deep Global Match Network EMNLP 2019 Nuclei Segmentation via a Deep Panoptic Model with Semantic Feature Fusion IJCAI 2019 Talking Face Generation by Conditional Recurrent Adversarial Network IJCAI 2019 The INaturalist Species Classification and Detection Dataset CVPR 2018 Accelerating Natural Gradient with Higher-Order Invariance ICML 2018 Large Scale Fine-Grained Categorization and Domain-Specific Transfer Learning CVPR 2018 Constructing Unrestricted Adversarial Examples with Generative Models NIPS 2018 PixelDefend: Leveraging Generative Models to Understand and Defend against Adversarial Examples ICLR 2018 Age Progression/Regression by Conditional Adversarial Autoencoder CVPR 2017 Locally-Transferred Fisher Vectors for Texture Classification ICCV 2017 Speed/Accuracy Trade-Offs for Modern Convolutional Object Detectors CVPR 2017 Stochastic Gradient Geodesic MCMC Methods NIPS 2016 Kernel Bayesian Inference with Posterior Regularization NIPS 2016 Improving the Robustness of Deep Neural Networks via Stability Training CVPR 2016 Training Deep Neural Networks via Direct Loss Minimization ICML 2016 Fusing Subcategory Probabilities for Texture Classification CVPR 2015 Learning Semantic Relationships for Better Action Retrieval in Images CVPR 2015 Learning Fine-grained Image Similarity with Deep Ranking CVPR 2014 Efficient Collective Entity Linking with Stacking EMNLP 2013 Joint Learning for Coreference Resolution with Markov Logic CONLL 2012 Identifying Event-related Bursts via Social Media Activities EMNLP 2012 Joint Learning for Coreference Resolution with Markov Logic EMNLP 2012 Identifying Event-related Bursts via Social Media Activities CONLL 2012 Link Type Based Pre-Cluster Pair Model for Coreference Resolution CONLL 2011 Topical Keyphrase Extraction from Twitter ACL 2011