Shuo Yang

Careful Queries, Credible Results: Teaching RAG Models Advanced Web Search Tools with Reinforcement Learning AAAI 2026 EVOTOOL: Self-Evolving Tool-Use Policy Optimization in LLM Agents via Blame-Aware Mutation and Diversity-Aware Selection ACL 2026 Logic Unseen: Revealing the Logical Blindspots of Vision-Language Models AAAI 2026 Multi-modal Dynamic Proxy Learning for Personalized Multiple Clustering AAAI 2026 GenomeQA: Benchmarking General Large Language Models for Genome Sequence Understanding ACL 2026 SAGE: Sparse Adaptive Guidance for Dependency-Aware Tabular Data Generation ACL 2026 AsFT: Anchoring Safety During LLM Fine-Tuning Within Narrow Safety Basin AAAI 2026 SPARK: Strategic Policy-Aware Exploration via Dynamic Branching for Long-Horizon Agentic Learning ACL 2026 Look-Back: Implicit Visual Re-focusing in MLLM Reasoning AAAI 2026 Next Patch Prediction for AutoRegressive Visual Generation AAAI 2026 OCR-Memory: Optical Context Retrieval for Long-Horizon Agent Memory ACL 2026 Is Parameter Collision Hindering Continual Learning in LLMs? COLING 2025 Dynamic Rank Adjustment in Diffusion Policies for Efficient and Flexible Training RSS 2025 STLGame: Signal Temporal Logic Games in Adversarial Multi-Agent Systems L4DC 2025 METOR: A Unified Framework for Mutual Enhancement of Objects and Relationships in Open-vocabulary Video Visual Relationship Detection IJCAI 2025 SCISSOR: Mitigating Semantic Bias through Cluster-Aware Siamese Networks for Robust Classification ICML 2025 Sparse Video-Gen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity ICML 2025 BOOD: Boundary-based Out-Of-Distribution Data Generation ICML 2025 HashAttention: Semantic Sparsity for Faster Inference ICML 2025 Stable Fair Graph Representation Learning with Lipschitz Constraint ICML 2025 PiCO: Peer Review in LLMs based on Consistency Optimization ICLR 2025 LLM-enhanced Action-aware Multi-modal Prompt Tuning for Image-Text Matching ICCV 2025 Neural networks on Symmetric Spaces of Noncompact Type ICLR 2025 CURE: Controlled Unlearning for Robust Embeddings — Mitigating Conceptual Shortcuts in Pre-Trained Language Models EMNLP 2025 Not All Features Deserve Attention: Graph-Guided Dependency Learning for Tabular Data Generation with Language Models EMNLP 2025 UPME: An Unsupervised Peer Review Framework for Multimodal Large Language Model Evaluation CVPR 2025 Doubling Your Data in Minutes: Ultra-fast Tabular Data Generation via LLM-Induced Dependency Graphs EMNLP 2025 Video Summarization Using Denoising Diffusion Probabilistic Model AAAI 2025 MENTOR: Multi-level Self-supervised Learning for Multimodal Recommendation AAAI 2025 RAZOR: Sharpening Knowledge by Cutting Bias with Unsupervised Text Rewriting AAAI 2025 Multimodal Commonsense Knowledge Distillation for Visual Question Answering (Student Abstract) AAAI 2025 Probabilistic Aggregation and Targeted Embedding Optimization for Collective Moral Reasoning in Large Language Models ACL 2025 MAGIC-VQA: Multimodal And Grounded Inference with Commonsense Knowledge for Visual Question Answering ACL 2025 A Trusted Multi-View Evidential Fusion Framework for Commonsense Reasoning COLING 2024 Multi-Modal Prompting for Open-Vocabulary Video Visual Relationship Detection AAAI 2024 P-TA: Using Proximal Policy Optimization to Enhance Tabular Data Augmentation via Large Language Models ACL 2024 Improve Diverse Commonsense Generation by Enhancing Subgraphs ACML 2024 Is Crowdsourcing Breaking Your Bank? Cost-Effective Fine-Tuning of Pre-trained Language Models with Proximal Policy Optimization COLING 2024 Matrix Manifold Neural Networks++ ICLR 2024 Revisiting Context Aggregation for Image Matting ICML 2024 Mind the Boundary: Coreset Selection via Reconstructing the Decision Boundary ICML 2024 Learning Imbalanced Data With Vision Transformers CVPR 2023 Sample Efficiency of Data Augmentation Consistency Regularization AISTATS 2023 Dataset Pruning: Reducing Training Data by Examining Generalization Influence ICLR 2023 Building Neural Networks on Matrix Manifolds: A Gyrovector Space Approach ICML 2023 Improving Lens Flare Removal with General-Purpose Pipeline and Multiple Light Sources Recovery ICCV 2023 Speech4Mesh: Speech-Assisted Monocular 3D Facial Reconstruction for Speech-Driven 3D Facial Animation ICCV 2023 PPR: Physically Plausible Reconstruction from Monocular Videos ICCV 2023 BiCro: Noisy Correspondence Rectification for Multi-Modality Data via Bi-Directional Cross-Modal Similarity Consistency CVPR 2023 Estimating Instance-dependent Bayes-label Transition Matrix using a Deep Neural Network ICML 2022 CAFE: Learning To Condense Dataset by Aligning Features CVPR 2022 Objects in Semantic Topology ICLR 2022 Towards Online 3D Bin Packing: Learning Synergies between Packing and Unpacking via DRL CORL 2022 Linear Bandit Algorithms with Sublinear Time Complexity ICML 2022 Toward Understanding Privileged Features Distillation in Learning-to-Rank NIPS 2022 Entity-aware and Motion-aware Transformers for Language-driven Action Localization IJCAI 2022 Mask and Regenerate: A Classifier-based Approach for Unpaired Sentiment Transformation of Reviews for Electronic Commerce Websites. NAACL 2022 Tagging Without Rewriting: A Probabilistic Model for Unpaired Sentiment and Style Transfer ACL 2022 MirrorAlign: A Super Lightweight Unsupervised Word Alignment Model via Cross-Lingual Contrastive Learning ACL 2022 Semantically Contrastive Learning for Low-Light Image Enhancement AAAI 2022 "PartImageNet: A Large, High-Quality Dataset of Parts" ECCV 2022 Towards Regression-Free Neural Networks for Diverse Compute Platforms ECCV 2022 One Size Does NOT Fit All: Data-Adaptive Adversarial Training ECCV 2022 Single-View 3D Object Reconstruction From Shape Priors in Memory CVPR 2021 Positive-Congruent Training: Towards Regression-Free Model Updates CVPR 2021 Free Lunch for Few-shot Learning: Distribution Calibration ICLR 2021 Compatibility-Aware Heterogeneous Visual Search CVPR 2021 Does Preprocessing Help Training Over-parameterized Neural Networks? NIPS 2021 Adversarial Robustness through Disentangled Representations AAAI 2021 A Unified Framework for Knowledge Intensive Gradient Boosting: Leveraging Human Experts for Noisy Sparse Domains AAAI 2020 High-Order Information Matters: Learning Relation and Topology for Occluded Person Re-Identification CVPR 2020 Financial Risk Analysis for SMEs with Graph-based Supply Chain Mining IJCAI 2020 Region Proposal by Guided Anchoring CVPR 2019 Unsupervised Fake News Detection on Social Media: A Generative Approach AAAI 2019 Interaction Hard Thresholding: Consistent Sparse Quadratic Regression in Sub-quadratic Time and Space NIPS 2019 FAB: A Robust Facial Landmark Detection Framework for Motion-Blurred Videos ICCV 2019 Optimizing Video Object Detection via a Scale-Time Lattice CVPR 2018 Look at Boundary: A Boundary-Aware Face Alignment Algorithm CVPR 2018 Residual Attention Network for Image Classification CVPR 2017 WIDER FACE: A Face Detection Benchmark CVPR 2016 DeepID-Net: Deformable Deep Convolutional Neural Networks for Object Detection CVPR 2015 From Facial Parts Responses to Face Detection: A Deep Learning Approach ICCV 2015