Yuan Gao

91 papers · 2016–2026 · 19 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (19) 🏃 Academic Marathon (9) 🌈 Renaissance Researcher (11) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (13) 🗺️ Taxonomy Completionist (127) 👑 Triple Crown 🏆 Grand Slam 👥 Mega-Team (23) 🔬 Deep Specialist (12) 💎 Century Club (87) 🚀 Conference Pioneer 🗃️ Keyword Collector (336) 🔥 Unstoppable (7) ⚡ Prolific Year (8)

Conferences

CVPR (12) AAAI (11) MICCAI (11) NIPS (8) ICML (8) ACL (6) ICCV (6) INTERSPEECH (5) ICLR (5) EMNLP (4) WACV (4) ECCV (3) IJCAI (2) COLING (1) JMLR (1) AISTATS (1) NAACL (1) ACML (1) RSS (1)

Top co-authors

Christian Kroer (8) Xin Wang (6) Wei Liu (6) Tao Tan (6) Jiayi Ma (6) Tianyu Zhang (5) Ke Yan (5) Chunyao Lu (5) Xinglong Liang (5) Ritse Mann (5)

Keywords

multimodal learning (6) feature fusion (5) market equilibrium (5) domain adaptation (4) convex optimization (4) semantic segmentation (4) speech emotion recognition (4) multi-task learning (4) representation learning (3) 3d reconstruction (3) fisher market (3) unsupervised learning (3) vision-language model (3) self-supervised learning (3) keypoint detection (3) image generation (3) knowledge distillation (3) object detection (2) model compression (2) attention mechanism (2)

Papers

InfoCLIP: Bridging Vision-Language Pretraining and Open-Vocabulary Semantic Segmentation via Information-Theoretic Alignment Transfer AAAI 2026

NeuralOM: Neural Ocean Model for Subseasonal-to-Seasonal Simulation AAAI 2026

Towards Multimodal Continual Knowledge Embedding with Modality Forgetting Modulation AAAI 2026

LUMIN: A Longitudinal Multi-modal Knowledge Decomposition Network for Predicting Breast Cancer Recurrence AAAI 2026

BLiSS: Evaluating Bilingual Learner Competence in Second Language Small Language Models EMNLP 2025

A Computational Simulation of Language Production in First Language Acquisition EMNLP 2025

Treat: A Unified Text-guided Conditioned Deep Learning Model for Generalized Radiotherapy Treatment Planning MICCAI 2025

RefineNet: Elevating Medical Foundation Models through Quality-Centric Data Curation by MLLM-Annotated Proxy Distillation MICCAI 2025

PLUS: Plug-and-Play Enhanced Liver Lesion Diagnosis Model on Non-Contrast CT Scans MICCAI 2025

EchoingECG: An Electrocardiogram Cross-Modal Model for Echocardiogram Tasks MICCAI 2025

DpDNet: An Dual-Prompt-Driven Network for Universal PET-CT Segmentation MICCAI 2025

On the Convergence of Tâtonnement for Linear Fisher Markets AAAI 2025

GrokFormer: Graph Fourier Kolmogorov-Arnold Transformers ICML 2025

LongDocURL: a Comprehensive Multimodal Long Document Benchmark Integrating Understanding, Reasoning, and Locating ACL 2025

Bypass Back-propagation: Optimization-based Structural Pruning for Large Language Models via Policy Gradient ACL 2025

Decoder-Only LLMs can be Masked Auto-Encoders ACL 2025

Entrospect: Information-Theoretic Self-Reflection Elicits Better Response Refinement of Small Language Models ACL 2025

OneForecast: A Universal Framework for Global and Regional Weather Forecasting ICML 2025

DiffGAD: A Diffusion-based Unsupervised Graph Anomaly Detector ICLR 2025

Demonstrating GPU Parallelized Robot Simulation and Rendering for Generalizable Embodied AI with ManiSkill3 RSS 2025

ProbMED: A Probabilistic Framework for Medical Multimodal Binding ICCV 2025

Towards Faster Decentralized Stochastic Optimization with Communication Compression ICLR 2025

Bridging Class Imbalance and Partial Labeling via Spectral-Balanced Energy Propagation for Skeleton-based Action Recognition ICCV 2025

DepR: Depth Guided Single-view Scene Reconstruction with Instance-level Diffusion ICCV 2025

Fuse Before Transfer: Knowledge Fusion for Heterogeneous Distillation ICCV 2025

DMTG: One-Shot Differentiable Multi-Task Grouping ICML 2024

VideoTetris: Towards Compositional Text-to-Video Generation NIPS 2024

Towards Neuron Attributions in Multi-Modal Large Language Models NIPS 2024

Locality Preserving Refinement for Shape Matching with Functional Maps AAAI 2024

EtymoLink: A Structured English Etymology Dataset ACL 2024

Dr3: Ask Large Language Models Not to Give Off-Topic Answers in Open Domain Multi-Hop Question Answering COLING 2024

SD2Event:Self-supervised Learning of Dynamic Detectors and Contextual Descriptors for Event Cameras CVPR 2024

Enhancing Vision-Language Pre-training with Rich Supervisions CVPR 2024

DeMatch: Deep Decomposition of Motion Field for Two-View Correspondence Learning CVPR 2024

Anchor-based Robust Finetuning of Vision-Language Models CVPR 2024

Instance-Adaptive and Geometric-Aware Keypoint Learning for Category-Level 6D Object Pose Estimation CVPR 2024

OneRestore: A Universal Restoration Framework for Composite Degradation ECCV 2024

Efficient Active Domain Adaptation for Semantic Segmentation by Selecting Information-rich Superpixels ECCV 2024

EControl: Fast Distributed Optimization with Compression and Error Control ICLR 2024

Aux-NAS: Exploiting Auxiliary Labels with Negligibly Extra Inference Cost ICLR 2024

Non-convex Stochastic Composite Optimization with Polyak Momentum ICML 2024

Unified Generation, Reconstruction, and Representation: Generalized Diffusion with Adaptive Latent Encoding-Decoding ICML 2024

Efficient Denoising Diffusion via Probabilistic Masking ICML 2024

Speech Emotion Recognition with Multi-level Acoustic and Semantic Information Extraction and Interaction INTERSPEECH 2024

Gaussian Interpolation Flows JMLR 2024

Improved Esophageal Varices Assessment from Non-Contrast CT Scans MICCAI 2024

Improving Neoadjuvant Therapy Response Prediction by Integrating Longitudinal Mammogram Generation with Cross-Modal Radiological Reports: A Vision-Language Alignment-guided Model MICCAI 2024

LIDIA: Precise Liver Tumor Diagnosis on Multi-Phase Contrast-Enhanced CT via Iterative Fusion and Asymmetric Contrastive Learning MICCAI 2024

MEDBind: Unifying Language and Multimodal Medical Data Embeddings MICCAI 2024

Non-Adversarial Learning: Vector-Quantized Common Latent Space for Multi-Sequence MRI MICCAI 2024

Ordinal Learning: Longitudinal Attention Alignment Model for Predicting Time to Future Breast Cancer Events from Mammograms MICCAI 2024

A Novel Two-step Fine-tuning Framework for Transfer Learning in Low-Resource Neural Machine Translation NAACL 2024

Refine and Redistribute: Multi-Domain Fusion and Dynamic Label Assignment for Unbiased Scene Graph Generation WACV 2024

MTANet: Multi-band Time-frequency Attention Network for Singing Melody Extraction from Polyphonic Music INTERSPEECH 2023

Two-stage Finetuning of Wav2vec 2.0 for Speech Emotion Recognition with ASR and Gender Pretraining INTERSPEECH 2023

Fast and Interpretable Dynamics for Fisher Markets via Block-Coordinate Updates AAAI 2023

Statistical Inference for Fisher Market Equilibrium ICLR 2023

D2Former: Jointly Learning Hierarchical Detectors and Contextual Descriptors via Agent-Based Transformers CVPR 2023

Composable Text Controls in Latent Space with ODEs EMNLP 2023

Inferring Hybrid Neural Fluid Fields from Videos NIPS 2023

MFFN: Multi-View Feature Fusion Network for Camouflaged Object Detection WACV 2023

On Prefix-tuning for Lightweight Out-of-distribution Detection ACL 2023

Evaluating Post-hoc Explanations for Graph Neural Networks via Robustness Analysis NIPS 2023

Exploit Domain-Robust Optical Flow in Domain Adaptive Video Semantic Segmentation AAAI 2023

Finding Dynamics Preserving Adversarial Winning Tickets AISTATS 2022

Multilevel Hierarchical Network with Multiscale Sampling for Video Question Answering IJCAI 2022

Multi-Level Attentive Adversarial Learning With Temporal Dilation for Unsupervised Video Domain Adaptation WACV 2022

Nonstationary Dual Averaging and Online Fair Allocation NIPS 2022

Panoptic-PHNet: Towards Real-Time and High-Precision LiDAR Panoptic Segmentation via Clustering Pseudo Heatmap CVPR 2022

Semi-Supervised Video Semantic Segmentation With Inter-Frame Feature Reconstruction CVPR 2022

Infinite-Dimensional Fisher Markets: Equilibrium, Duality and Optimization AAAI 2021

Increasing Iterate Averaging for Solving Saddle-Point Problems AAAI 2021

Exploiting Learnable Joint Groups for Hand Pose Estimation AAAI 2021

Temporal Cue Guided Video Highlight Detection With Low-Rank Audio-Visual Fusion ICCV 2021

Orthogonal Jacobian Regularization for Unsupervised Disentanglement in Image Generation ICCV 2021

Online Market Equilibrium with Application to Fair Division NIPS 2021

Metric Learning Based Feature Representation with Gated Fusion Model for Speech Emotion Recognition INTERSPEECH 2021

An Improved Analysis of Stochastic Gradient Descent with Momentum NIPS 2020

MTL-NAS: Task-Agnostic Neural Architecture Search Towards General-Purpose Multi-Task Learning CVPR 2020

First-Order Methods for Large-Scale Market Equilibrium Computation NIPS 2020

Graph-PCNN: Two Stage Human Pose Estimation with Graph Pose Refinement ECCV 2020

Stochastic Flows and Geometric Optimization on the Orthogonal Group ICML 2020

WeChat Neural Machine Translation Systems for WMT20 EMNLP 2020

Multi-Scale Adversarial Cross-Domain Detection with Robust Discriminative Learning WACV 2020

Temporal Attention Convolutional Network for Speech Emotion Recognition with Latent Representation INTERSPEECH 2020

Deep Generative Learning via Variational Gradient Flow ICML 2019

Face Anti-Spoofing: Model Matters, so Does Data CVPR 2019

NDDR-CNN: Layerwise Feature Fusing in Multi-Task CNNs by Neural Discriminative Dimensionality Reduction CVPR 2019

Exploiting Symmetry and/or Manhattan Properties for 3D Object Structure Estimation From Single and Multiple Images CVPR 2017

Locality Preserving Matching IJCAI 2017

Deep Gate Recurrent Neural Network ACML 2016