Yuan Yao

CharTide: Data-Centric Chart-to-Code Generation via Tri-Perspective Tuning and Inquiry-Driven Evolution ACL 2026 Hashed Watermark as a Filter: A Unified Defense Against Forging and Overwriting Attacks in Neural Network Watermarking AAAI 2026 OpenGlass: A Sensing-Computing Split Architecture for Local MLLM-Driven Real-Time Visual Assistance ACL 2026 ChessArena: A Chess Testbed for Evaluating Strategic Reasoning Capabilities of Large Language Models ACL 2026 LLaVA-UHD v2: Exploiting Hierarchical Vision Granularity in MLLMs via Inverse Semantic Pyramid AAAI 2026 Towards Fine-grained Interactive Segmentation in Images and Videos ICCV 2025 RLAIF-V: Open-Source AI Feedback Leads to Super GPT-4V Trustworthiness CVPR 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 Simulate, Refine and Integrate: Strategy Synthesis for Efficient SMT Solving IJCAI 2025 Elucidating the design space of language models for image generation ICML 2025 VLMInferSlow: Evaluating the Efficiency Robustness of Large Vision-Language Models as a Service ACL 2025 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 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 InstructMol: Multi-Modal Integration for Building a Versatile and Reliable Molecular Assistant in Drug Discovery COLING 2025 UniGS: Modeling Unitary 3D Gaussians for Novel View Synthesis from Sparse-view Images ICCV 2025 LeanGaussian: Breaking Pixel or Point Cloud Correspondence in Modeling 3D Gaussians CVPR 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 FedMIA: An Effective Membership Inference Attack Exploiting "All for One" Principle in Federated Learning CVPR 2025 GaussianIP: Identity-Preserving Realistic 3D Human Generation via Human-Centric Diffusion Prior CVPR 2025 MIMO: Controllable Character Video Synthesis with Spatial Decomposed Modeling CVPR 2025 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 Referee Can Play: An Alternative Approach to Conditional Generation via Model Inversion ICML 2024 PRESTO: Progressive Pretraining Enhances Synthetic Chemistry Outcomes EMNLP 2024 MoleculeQA: A Dataset to Evaluate Factual Accuracy in Molecular Comprehension EMNLP 2024 LLaVA-UHD: an LMM Perceiving any Aspect Ratio and High-Resolution Images ECCV 2024 Large Multilingual Models Pivot Zero-Shot Multimodal Learning across Languages ICLR 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 Neuro-Symbolic Data Generation for Math Reasoning NIPS 2024 AdaNAT: Exploring Adaptive Policy for Token-Based Image Generation ECCV 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 Random Smoothing Regularization in Kernel Gradient Descent Learning JMLR 2024 Mitigating the Alignment Tax of RLHF EMNLP 2024 Intention Progression with Temporally Extended Goals IJCAI 2024 Towards Open Domain Text-Driven Synthesis of Multi-Person Motions ECCV 2024 Inspecting Prediction Confidence for Detecting Black-Box Backdoor Attacks AAAI 2024 KoLA: Carefully Benchmarking World Knowledge of Large Language Models ICLR 2024 NExT-Chat: An LMM for Chat, Detection and Segmentation ICML 2024 Rethinking Guidance Information to Utilize Unlabeled Samples: A Label Encoding Perspective ICML 2024 PrivLM-Bench: A Multi-level Privacy Evaluation Benchmark for Language Models ACL 2024 Revisiting Non-Autoregressive Transformers for Efficient Image Synthesis CVPR 2024 RLHF-V: Towards Trustworthy MLLMs via Behavior Alignment from Fine-grained Correctional Human Feedback CVPR 2024 Beyond Object Recognition: A New Benchmark towards Object Concept Learning ICCV 2023 VPGTrans: Transfer Visual Prompt Generator across LLMs NIPS 2023 Neuro-symbolic Learning Yielding Logical Constraints NIPS 2023 Visually Grounded Commonsense Knowledge Acquisition AAAI 2023 Inducing Neural Collapse in Deep Long-tailed Learning AISTATS 2023 An Embarrassingly Simple Backdoor Attack on Self-supervised Learning ICCV 2023 Softened Symbol Grounding for Neuro-symbolic Systems ICLR 2023 Learning with Logical Constraints but without Shortcut Satisfaction ICLR 2023 Multi-Agent Intention Recognition and Progression IJCAI 2023 SegPrompt: Using Segmentation Map as a Better Prompt to Finetune Deep Models for Kidney Stone Classification MIDL 2023 End-to-End Weakly Supervised Object Detection with Sparse Proposal Evolution ECCV 2022 Private Streaming SCO in $\ell_p$ geometry with Applications in High Dimensional Online Decision Making ICML 2022 Fine-Grained Scene Graph Generation with Data Transfer ECCV 2022 Unsupervised Domain Adaptation through Shape Modeling for Medical Image Segmentation MIDL 2022 PEVL: Position-enhanced Pre-training and Prompt Tuning for Vision-language Models EMNLP 2022 Structure-Aware Flow Generation for Human Body Reshaping CVPR 2022 Unpaired Cartoon Image Synthesis via Gated Cycle Mapping CVPR 2022 A Deep Learning Dataloader with Shared Data Preparation NIPS 2022 An Invisible Black-Box Backdoor Attack through Frequency Domain ECCV 2022 Prompt Tuning for Discriminative Pre-trained Language Models ACL 2022 Multi-Agent Intention Progression with Reward Machines IJCAI 2022 Visual Distant Supervision for Scene Graph Generation ICCV 2021 Multi-Agent Intention Progression with Black-Box Agents IJCAI 2021 Adversarial Language Games for Advanced Natural Language Intelligence AAAI 2021 StrokeGAN: Reducing Mode Collapse in Chinese Font Generation via Stroke Encoding AAAI 2021 CodRED: A Cross-Document Relation Extraction Dataset for Acquiring Knowledge in the Wild EMNLP 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 Deep Partial Rank Aggregation for Personalized Attributes AAAI 2021 ONION: A Simple and Effective Defense Against Textual Backdoor Attacks EMNLP 2021 Open Hierarchical Relation Extraction NAACL 2021 Turn the Combination Lock: Learnable Textual Backdoor Attacks via Word Substitution ACL 2021 Front2Back: Single View 3D Shape Reconstruction via Front to Back Prediction CVPR 2020 Multiview Co-segmentation for Wide Baseline Images using Cross-view Supervision WACV 2020 Who Likes What? — SplitLBI in Exploring Preferential Diversity of Ratings AAAI 2020 Video Playback Rate Perception for Self-Supervised Spatio-Temporal Representation Learning CVPR 2020 DessiLBI: Exploring Structural Sparsity of Deep Networks via Differential Inclusion Paths ICML 2020 Characterizing Membership Privacy in Stochastic Gradient Langevin Dynamics AAAI 2020 Trading Personalization for Accuracy: Data Debugging in Collaborative Filtering NIPS 2020 Generative Adversarial Nets for Robust Scatter Estimation: A Proper Scoring Rule Perspective JMLR 2020 Intention Progression under Uncertainty IJCAI 2020 Denoising Relation Extraction from Document-level Distant Supervision EMNLP 2020 Meta-Information Guided Meta-Learning for Few-Shot Relation Classification COLING 2020 Boosting Semantic Human Matting With Coarse Annotations CVPR 2020 Deep Robust Subjective Visual Property Prediction in Crowdsourcing CVPR 2019 MONET: Multiview Semi-Supervised Keypoint Detection via Epipolar Divergence ICCV 2019 Hashtag Recommendation for Photo Sharing Services AAAI 2019 OpenNRE: An Open and Extensible Toolkit for Neural Relation Extraction EMNLP 2019 Orthogonal Decomposition Network for Pixel-Wise Binary Classification CVPR 2019 ROBUST ESTIMATION VIA GENERATIVE ADVERSARIAL NETWORKS ICLR 2019 An Integral Tag Recommendation Model for Textual Content AAAI 2019 Attention-Aware Multi-Stroke Style Transfer CVPR 2019 Global Convergence of Block Coordinate Descent in Deep Learning ICML 2019 DocRED: A Large-Scale Document-Level Relation Extraction Dataset ACL 2019 Commit Message Generation for Source Code Changes IJCAI 2019 Open Relation Extraction: Relational Knowledge Transfer from Supervised Data to Unsupervised Data IJCNLP 2019 OpenNRE: An Open and Extensible Toolkit for Neural Relation Extraction IJCNLP 2019 iSplit LBI: Individualized Partial Ranking with Ties via Split LBI NIPS 2019 Open Relation Extraction: Relational Knowledge Transfer from Supervised Data to Unsupervised Data EMNLP 2019 FewRel: A Large-Scale Supervised Few-Shot Relation Classification Dataset with State-of-the-Art Evaluation EMNLP 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 A Unified Dynamic Approach to Sparse Model Selection AISTATS 2018 Split LBI: An Iterative Regularization Path with Structural Sparsity NIPS 2016 False Discovery Rate Control and Statistical Quality Assessment of Annotators in Crowdsourced Ranking ICML 2016 Ice-Breaking: Mitigating Cold-Start Recommendation Problem by Rating Comparison IJCAI 2015 Detecting Network Cliques with Radon Basis Pursuit AISTATS 2012