← Authors

Yang Song

132 papers · 2011–2026 · 20 conferences · across top CS/AI conferences

Achievements

🧭 Keyword Pioneer 🐝 Cross-Pollinator (7) 🐣 Hot Topic Early Bird πŸƒ Academic Marathon (14) 🌍 Conference Polyglot (20) 🌈 Renaissance Researcher (7) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (18) 🌟 Keyword Trendsetter Combo (5) 🏠 Conference Loyalist (21) πŸ† Keyword Champion (2) 🀝 Dynamic Duo (26) πŸ† Grand Slam πŸ‘‘ Triple Crown 🌱 Topic Pioneer πŸ”¬ Deep Specialist (13) πŸ“ˆ Trend Setter ❓ The Questioner πŸ—ƒοΈ Keyword Collector (461) πŸ’Ž Century Club (129) πŸš€ Conference Pioneer ⚑ Prolific Year (10) πŸ”₯ Unstoppable (15)

Conferences

NIPS (21) CVPR (20) ICLR (19) AAAI (14) EMNLP (12) ICML (8) IJCAI (6) MICCAI (5) AISTATS (4) ACL (4) CONLL (3) ICCV (3) IJCNLP (3) EACL (2) INTERSPEECH (2) NAACL (2) UAI (1) SEMEVAL (1) ECCV (1) COLING (1)

Top co-authors

Stefano Ermon (26) Maurice Pagnucco (15) Wee Peng Tay (11) Qiyu Kang (11) Lei Fan (10) Jiaming Song (10) Chenlin Meng (9) KAI ZHAO (9) Sijie Wang (8) Wayne Xin Zhao (8)

Research topics

Probability (1)

Keywords

generative model (11) graph neural network (11) large language model (10) multimodal learning (8) diffusion model (7) score matching (7) domain adaptation (6) representation learning (5) density estimation (4) feature fusion (4) energy-based model (4) image generation (4) zero-shot learning (4) variational inference (4) transfer learning (4) point cloud (4) convolutional neural network (4) object detection (4) class imbalance (3) 3d vision (3)

Papers

Reasoning’s Razor: Reasoning Improves Accuracy but Hurts Recall at Critical Operating Points in Safety and Hallucination Detection EACL 2026
Relative Advantage Debiasing for Watch-Time Prediction in Short-Video Recommendation AAAI 2026
Principles2Plan: LLM-Guided System for Operationalising Ethical Principles into Plans AAAI 2026
Following the Autoregressive Nature of LLM Embeddings via Compression and Alignment EMNLP 2025
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
Improving Diffusion Inverse Problem Solving with Decoupled Noise Annealing CVPR 2025
PEACE: Empowering Geologic Map Holistic Understanding with MLLMs CVPR 2025
Prototype-Based Image Prompting for Weakly Supervised Histopathological Image Segmentation CVPR 2025
Multimodal Cancer Survival Analysis via Hypergraph Learning with Cross-Modality Rebalance IJCAI 2025
Energy-Based Preference Model Offers Better Offline Alignment than the Bradley-Terry Preference Model ICML 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
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
ReDeEP: Detecting Hallucination in Retrieval-Augmented Generation via Mechanistic Interpretability ICLR 2025
Structure based SAT dataset for analysing GNN generalisation AISTATS 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
Reasoning-Enhanced Domain-Adaptive Pretraining of Multimodal Large Language Models for Short Video Content Governance EMNLP 2025
Interpretable Image Classification via Non-parametric Part Prototype Learning CVPR 2025
MANTA: A Large-Scale Multi-View and Visual-Text Anomaly Detection Dataset for Tiny Objects CVPR 2025
Video-LaVIT: Unified Video-Language Pre-training with Decoupled Visual-Motional Tokenization ICML 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
Towards Effective Usage of Human-Centric Priors in Diffusion Models for Text-based Human Image Generation CVPR 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
Unleashing the Potential of Fractional Calculus in Graph Neural Networks with FROND ICLR 2024
XTranPrune: eXplainability-aware Transformer Pruning for Bias Mitigation in Dermatological Disease Classification MICCAI 2024
GLOBE: A High-quality English Corpus with Global Accents for Zero-shot Speaker Adaptive Text-to-Speech INTERSPEECH 2024
Improved Techniques for Training Consistency Models ICLR 2024
Federated Adaptation for Foundation Model-based Recommendations IJCAI 2024
Formalisation and Evaluation of Properties for Consequentialist Machine Ethics 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
Rewiring the Transformer with Depth-Wise LSTMs COLING 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
Graph Neural Convection-Diffusion with Heterophily IJCAI 2023
Consistency Models ICML 2023
Maximizing Spatio-Temporal Entropy of Deep 3D CNNs for Efficient Video Recognition ICLR 2023
Adversarial Robustness in Graph Neural Networks: A Hamiltonian Approach NIPS 2023
Generalizable Zero-Shot Speaker Adaptive Speech Synthesis with Disentangled Representations INTERSPEECH 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
Accelerating Feedforward Computation via Parallel Nonlinear Equation Solving ICML 2021
Maximum Likelihood Training of Score-Based Diffusion Models NIPS 2021
Imitation with Neural Density Models NIPS 2021
Fast WordPiece Tokenization EMNLP 2021
Improved Word Sense Disambiguation with Enhanced Sense Representations EMNLP 2021
Extremely Small BERT Models from Mixed-Vocabulary Training EACL 2021
Exploiting Edge-Oriented Reasoning for 3D Point-Based Scene Graph Analysis CVPR 2021
Stable Neural ODE with Lyapunov-Stable Equilibrium Points for Defending Against Adversarial Attacks NIPS 2021
Pseudo-Spherical Contrastive Divergence NIPS 2021
PhotoChat: A Human-Human Dialogue Dataset With Photo Sharing Behavior For Joint Image-Text Modeling IJCNLP 2021
CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series Imputation NIPS 2021
Walk in the Cloud: Learning Curves for Point Clouds Shape Analysis ICCV 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
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
PhotoChat: A Human-Human Dialogue Dataset With Photo Sharing Behavior For Joint Image-Text Modeling ACL 2021
Unsupervised Instance Segmentation in Microscopy Images via Panoptic Domain Adaptation and Task Re-Weighting CVPR 2020
Permutation Invariant Graph Generation via Score-Based Generative Modeling AISTATS 2020
Gaussianization Flows AISTATS 2020
Training Deep Energy-Based Models with f-Divergence Minimization ICML 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
Improving 3D Object Detection through Progressive Population Based Augmentation ECCV 2020
Talking Face Generation by Conditional Recurrent Adversarial Network IJCAI 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
Representation Learning with Ordered Relation Paths for Knowledge Graph Completion EMNLP 2019
Representation Learning with Ordered Relation Paths for Knowledge Graph Completion IJCNLP 2019
Sliced Score Matching: A Scalable Approach to Density and Score Estimation UAI 2019
Domain Adaptation for Person-Job Fit with Transferable Deep Global Match Network EMNLP 2019
Generative Modeling by Estimating Gradients of the Data Distribution NIPS 2019
Generating Long and Informative Reviews with Aspect-Aware Coarse-to-Fine Decoding ACL 2019
MintNet: Building Invertible Neural Networks with Masked Convolutions NIPS 2019
Class-Balanced Loss Based on Effective Number of Samples CVPR 2019
Nuclei Segmentation via a Deep Panoptic Model with Semantic Feature Fusion IJCAI 2019
The INaturalist Species Classification and Detection Dataset CVPR 2018
Accelerating Natural Gradient with Higher-Order Invariance ICML 2018
Constructing Unrestricted Adversarial Examples with Generative Models NIPS 2018
PixelDefend: Leveraging Generative Models to Understand and Defend against Adversarial Examples ICLR 2018
Large Scale Fine-Grained Categorization and Domain-Specific Transfer Learning CVPR 2018
Locally-Transferred Fisher Vectors for Texture Classification ICCV 2017
Speed/Accuracy Trade-Offs for Modern Convolutional Object Detectors CVPR 2017
Age Progression/Regression by Conditional Adversarial Autoencoder CVPR 2017
Stochastic Gradient Geodesic MCMC Methods NIPS 2016
Training Deep Neural Networks via Direct Loss Minimization ICML 2016
Improving the Robustness of Deep Neural Networks via Stability Training CVPR 2016
Kernel Bayesian Inference with Posterior Regularization NIPS 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