Yuan Yao

114 papers · 2012–2026 · 17 conferences · across top CS/AI conferences

Achievements

🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (10) 🏃 Academic Marathon (13) 🌍 Conference Polyglot (17) 🌈 Renaissance Researcher (7) 🌉 Interdisciplinary Bridge 🗺️ Taxonomy Completionist (20) 🤝 Dynamic Duo (33) 👑 Triple Crown 🏆 Grand Slam 👥 Mega-Team (35) 🔬 Deep Specialist (11) 🧬 Topic Evolution 🏆 Keyword Champion 🔥 Unstoppable (8) 📈 Trend Setter 🗃️ Keyword Collector (70) 💎 Century Club (112) ❓ The Questioner 🚀 Conference Pioneer ⚡ Prolific Year (25)

Conferences

CVPR (17) AAAI (11) EMNLP (11) NIPS (10) ICML (9) ACL (8) IJCAI (8) ICLR (7) ICCV (7) ECCV (6) COLING (4) JMLR (4) AISTATS (4) IJCNLP (3) MIDL (2) NAACL (2) WACV (1)

Top co-authors

Zhiyuan Liu (33) Maosong Sun (26) Xu Han (13) Tat-Seng Chua (10) Miaomiao Cui (9) Ao Zhang (8) Feng Xu (7) Ruobing Xie (7) Hanghang Tong (7) Xuansong Xie (6)

Research topics

Privacy (3) Differential Privacy (1)

Keywords

neural network (7) deep learning (6) multimodal large language model (5) reinforcement learning (5) relation extraction (5) representation learning (5) distant supervision (5) deep neural network (4) monte carlo tree search (4) backdoor attack (4) knowledge base (4) 3d reconstruction (4) multi-agent system (4) transfer learning (3) generative adversarial network (3) diffusion model (3) vision-language model (3) few-shot learning (3) multimodal learning (3) style transfer (3)

Papers

LLaVA-UHD v2: Exploiting Hierarchical Vision Granularity in MLLMs via Inverse Semantic Pyramid AAAI 2026

Hashed Watermark as a Filter: A Unified Defense Against Forging and Overwriting Attacks in Neural Network Watermarking AAAI 2026

EventRAG: Enhancing LLM Generation with Event Knowledge Graphs ACL 2025

GUICourse: From General Vision Language Model to Versatile GUI Agent ACL 2025

RiOT: Efficient Prompt Refinement with Residual Optimization Tree ACL 2025

FedMIA: An Effective Membership Inference Attack Exploiting "All for One" Principle in Federated Learning CVPR 2025

InstructMol: Multi-Modal Integration for Building a Versatile and Reliable Molecular Assistant in Drug Discovery COLING 2025

Dynamic Guided and Domain Applicable Safeguards for Enhanced Security in Large Language Models NAACL 2025

Optimal Sample Selection Through Uncertainty Estimation and Its Application in Deep Learning JMLR 2025

Elucidating the design space of language models for image generation ICML 2025

UniMatch: Universal Matching from Atom to Task for Few-Shot Drug Discovery ICLR 2025

Proving Olympiad Inequalities by Synergizing LLMs and Symbolic Reasoning ICLR 2025

UniGS: Modeling Unitary 3D Gaussians for Novel View Synthesis from Sparse-view Images ICCV 2025

Towards Fine-grained Interactive Segmentation in Images and Videos ICCV 2025

Perception-as-Control: Fine-grained Controllable Image Animation with 3D-aware Motion Representation ICCV 2025

AgentCPM-GUI: Building Mobile-Use Agents with Reinforcement Fine-Tuning EMNLP 2025

RLAIF-V: Open-Source AI Feedback Leads to Super GPT-4V Trustworthiness CVPR 2025

Simulate, Refine and Integrate: Strategy Synthesis for Efficient SMT Solving IJCAI 2025

LeanGaussian: Breaking Pixel or Point Cloud Correspondence in Modeling 3D Gaussians CVPR 2025

MIMO: Controllable Character Video Synthesis with Spatial Decomposed Modeling CVPR 2025

GaussianIP: Identity-Preserving Realistic 3D Human Generation via Human-Centric Diffusion Prior CVPR 2025

VLMInferSlow: Evaluating the Efficiency Robustness of Large Vision-Language Models as a Service ACL 2025

Revisiting Non-Autoregressive Transformers for Efficient Image Synthesis CVPR 2024

Neuro-Symbolic Data Generation for Math Reasoning NIPS 2024

Towards Global Optimal Visual In-Context Learning Prompt Selection NIPS 2024

ENAT: Rethinking Spatial-temporal Interactions in Token-based Image Synthesis NIPS 2024

UniGAD: Unifying Multi-level Graph Anomaly Detection NIPS 2024

Inspecting Prediction Confidence for Detecting Black-Box Backdoor Attacks AAAI 2024

PrivLM-Bench: A Multi-level Privacy Evaluation Benchmark for Language Models ACL 2024

Fine-Grained Legal Argument-Pair Extraction via Coarse-Grained Pre-training COLING 2024

From Multimodal LLM to Human-level AI: Modality, Instruction, Reasoning, Efficiency and beyond COLING 2024

RLHF-V: Towards Trustworthy MLLMs via Behavior Alignment from Fine-grained Correctional Human Feedback CVPR 2024

En3D: An Enhanced Generative Model for Sculpting 3D Humans from 2D Synthetic Data CVPR 2024

3DToonify: Creating Your High-Fidelity 3D Stylized Avatar Easily from 2D Portrait Images CVPR 2024

AdaNAT: Exploring Adaptive Policy for Token-Based Image Generation ECCV 2024

Towards Open Domain Text-Driven Synthesis of Multi-Person Motions ECCV 2024

LLaVA-UHD: an LMM Perceiving any Aspect Ratio and High-Resolution Images ECCV 2024

Mitigating the Alignment Tax of RLHF EMNLP 2024

MoleculeQA: A Dataset to Evaluate Factual Accuracy in Molecular Comprehension EMNLP 2024

PRESTO: Progressive Pretraining Enhances Synthetic Chemistry Outcomes EMNLP 2024

KoLA: Carefully Benchmarking World Knowledge of Large Language Models ICLR 2024

Large Multilingual Models Pivot Zero-Shot Multimodal Learning across Languages ICLR 2024

Referee Can Play: An Alternative Approach to Conditional Generation via Model Inversion ICML 2024

Rethinking Guidance Information to Utilize Unlabeled Samples: A Label Encoding Perspective ICML 2024

NExT-Chat: An LMM for Chat, Detection and Segmentation ICML 2024

Intention Progression with Temporally Extended Goals IJCAI 2024

Random Smoothing Regularization in Kernel Gradient Descent Learning JMLR 2024

Learning with Logical Constraints but without Shortcut Satisfaction ICLR 2023

SegPrompt: Using Segmentation Map as a Better Prompt to Finetune Deep Models for Kidney Stone Classification MIDL 2023

Multi-Agent Intention Recognition and Progression IJCAI 2023

Visually Grounded Commonsense Knowledge Acquisition AAAI 2023

Neuro-symbolic Learning Yielding Logical Constraints NIPS 2023

Beyond Object Recognition: A New Benchmark towards Object Concept Learning ICCV 2023

An Embarrassingly Simple Backdoor Attack on Self-supervised Learning ICCV 2023

Softened Symbol Grounding for Neuro-symbolic Systems ICLR 2023

VPGTrans: Transfer Visual Prompt Generator across LLMs NIPS 2023

Inducing Neural Collapse in Deep Long-tailed Learning AISTATS 2023

Unsupervised Domain Adaptation through Shape Modeling for Medical Image Segmentation MIDL 2022

Private Streaming SCO in $\ell_p$ geometry with Applications in High Dimensional Online Decision Making ICML 2022

End-to-End Weakly Supervised Object Detection with Sparse Proposal Evolution ECCV 2022

An Invisible Black-Box Backdoor Attack through Frequency Domain ECCV 2022

Fine-Grained Scene Graph Generation with Data Transfer ECCV 2022

Structure-Aware Flow Generation for Human Body Reshaping CVPR 2022

Prompt Tuning for Discriminative Pre-trained Language Models ACL 2022

Unpaired Cartoon Image Synthesis via Gated Cycle Mapping CVPR 2022

Multi-Agent Intention Progression with Reward Machines IJCAI 2022

PEVL: Position-enhanced Pre-training and Prompt Tuning for Vision-language Models EMNLP 2022

A Deep Learning Dataloader with Shared Data Preparation NIPS 2022

Adversarial Language Games for Advanced Natural Language Intelligence AAAI 2021

Multi-Agent Intention Progression with Black-Box Agents IJCAI 2021

Visual Distant Supervision for Scene Graph Generation ICCV 2021

ONION: A Simple and Effective Defense Against Textual Backdoor Attacks EMNLP 2021

CodRED: A Cross-Document Relation Extraction Dataset for Acquiring Knowledge in the Wild EMNLP 2021

StrokeGAN: Reducing Mode Collapse in Chinese Font Generation via Stroke Encoding AAAI 2021

Deep Partial Rank Aggregation for Personalized Attributes AAAI 2021

Turn the Combination Lock: Learnable Textual Backdoor Attacks via Word Substitution ACL 2021

Open Hierarchical Relation Extraction NAACL 2021

Turn the Combination Lock: Learnable Textual Backdoor Attacks via Word Substitution IJCNLP 2021

On ADMM in Deep Learning: Convergence and Saturation-Avoidance JMLR 2021

Front2Back: Single View 3D Shape Reconstruction via Front to Back Prediction CVPR 2020

Generative Adversarial Nets for Robust Scatter Estimation: A Proper Scoring Rule Perspective JMLR 2020

Denoising Relation Extraction from Document-level Distant Supervision EMNLP 2020

Characterizing Membership Privacy in Stochastic Gradient Langevin Dynamics AAAI 2020

Who Likes What? — SplitLBI in Exploring Preferential Diversity of Ratings AAAI 2020

DessiLBI: Exploring Structural Sparsity of Deep Networks via Differential Inclusion Paths ICML 2020

Multiview Co-segmentation for Wide Baseline Images using Cross-view Supervision WACV 2020

Intention Progression under Uncertainty IJCAI 2020

Meta-Information Guided Meta-Learning for Few-Shot Relation Classification COLING 2020

Video Playback Rate Perception for Self-Supervised Spatio-Temporal Representation Learning CVPR 2020

Boosting Semantic Human Matting With Coarse Annotations CVPR 2020

Trading Personalization for Accuracy: Data Debugging in Collaborative Filtering NIPS 2020

An Integral Tag Recommendation Model for Textual Content AAAI 2019

Attention-Aware Multi-Stroke Style Transfer CVPR 2019

Orthogonal Decomposition Network for Pixel-Wise Binary Classification CVPR 2019

Deep Robust Subjective Visual Property Prediction in Crowdsourcing CVPR 2019

Open Relation Extraction: Relational Knowledge Transfer from Supervised Data to Unsupervised Data IJCNLP 2019

Global Convergence of Block Coordinate Descent in Deep Learning ICML 2019

DocRED: A Large-Scale Document-Level Relation Extraction Dataset ACL 2019

Hashtag Recommendation for Photo Sharing Services AAAI 2019

ROBUST ESTIMATION VIA GENERATIVE ADVERSARIAL NETWORKS ICLR 2019

Commit Message Generation for Source Code Changes IJCAI 2019

OpenNRE: An Open and Extensible Toolkit for Neural Relation Extraction IJCNLP 2019

MONET: Multiview Semi-Supervised Keypoint Detection via Epipolar Divergence ICCV 2019

iSplit LBI: Individualized Partial Ranking with Ties via Split LBI NIPS 2019

OpenNRE: An Open and Extensible Toolkit for Neural Relation Extraction EMNLP 2019

Open Relation Extraction: Relational Knowledge Transfer from Supervised Data to Unsupervised Data EMNLP 2019

A Unified Dynamic Approach to Sparse Model Selection AISTATS 2018

MSplit LBI: Realizing Feature Selection and Dense Estimation Simultaneously in Few-shot and Zero-shot Learning ICML 2018

Finding Global Optima in Nonconvex Stochastic Semidefinite Optimization with Variance Reduction AISTATS 2018

FewRel: A Large-Scale Supervised Few-Shot Relation Classification Dataset with State-of-the-Art Evaluation EMNLP 2018

False Discovery Rate Control and Statistical Quality Assessment of Annotators in Crowdsourced Ranking ICML 2016

Split LBI: An Iterative Regularization Path with Structural Sparsity NIPS 2016

Ice-Breaking: Mitigating Cold-Start Recommendation Problem by Rating Comparison IJCAI 2015

Detecting Network Cliques with Radon Basis Pursuit AISTATS 2012