Yu Zhang

DialogueVPR: Towards Conversational Visual Place Recognition CVPR 2026 DynamicGTR: Leveraging Graph Topology Representation Preferences to Boost VLM Capabilities on Graph QAs CVPR 2026 Embracing Positional Bias in Multiple-Choice Question Answering via Permutation Equivariant Neural Networks AAAI 2026 Graph2Video: Leveraging Video Models to Model Dynamic Graph Evolution AAAI 2026 HAD: Heterogeneity-Aware Distillation for Lifelong Heterogeneous Learning CVPR 2026 Markovian Scale Prediction: A New Era of Visual Autoregressive Generation CVPR 2026 Rectifying the Emotional Flow: Aligning Priors and Dynamic Guidance for High-Arousal Text-to-Speech ACL 2026 ReviewGrounder: Improving Review Substantiveness with Rubric-Guided, Tool-Integrated Agents ACL 2026 D_2O: Dynamic Discriminative Operations for Efficient Long-Context Inference of Large Language Models ICLR 2025 A Unified Taxonomy-Guided Instruction Tuning Framework for Entity Set Expansion and Taxonomy Expansion ACL 2025 ASAudio: A Survey of Advanced Spatial Audio Research IJCNLP 2025 BANER: Boundary-Aware LLMs for Few-Shot Named Entity Recognition COLING 2025 ComLoRA: A Competitive Learning Approach for Enhancing LoRA ICLR 2025 Come Together, But Not Right Now: A Progressive Strategy to Boost Low-Rank Adaptation ICML 2025 Corrupted but Not Broken: Understanding and Mitigating the Negative Impacts of Corrupted Data in Visual Instruction Tuning EMNLP 2025 EMOVA: Empowering Language Models to See, Hear and Speak with Vivid Emotions CVPR 2025 EnvPoser: Environment-aware Realistic Human Motion Estimation from Sparse Observations with Uncertainty Modeling CVPR 2025 Focus on Local: Finding Reliable Discriminative Regions for Visual Place Recognition AAAI 2025 HeadMap: Locating and Enhancing Knowledge Circuits in LLMs ICLR 2025 HiRA: Parameter-Efficient Hadamard High-Rank Adaptation for Large Language Models ICLR 2025 Image Watermarks are Removable using Controllable Regeneration from Clean Noise ICLR 2025 InImageTrans: Multimodal LLM-based Text Image Machine Translation ACL 2025 MTSAM: Multi-Task Fine-Tuning for Segment Anything Model ICLR 2025 Mixture of insighTful Experts (MoTE): The Synergy of Reasoning Chains and Expert Mixtures in Self-Alignment ACL 2025 NaFV-Net: An Adversarial Four-view Network for Mammogram Classification AAAI 2025 Open Your Eyes: Vision Enhances Message Passing Neural Networks in Link Prediction ICML 2025 PLAN: Proactive Low-Rank Allocation for Continual Learning ICCV 2025 Protein Large Language Models: A Comprehensive Survey EMNLP 2025 SPE Attention: Making Attention Equivariant to Semantic-Preserving Permutation for Code Processing EMNLP 2025 STARS: A Unified Framework for Singing Transcription, Alignment, and Refined Style Annotation ACL 2025 Sharpness-Aware Black-Box Optimization ICLR 2025 Synthetic Singers: A Review of Deep-Learning-based Singing Voice Synthesis Approaches IJCNLP 2025 TCSinger 2: Customizable Multilingual Zero-shot Singing Voice Synthesis ACL 2025 TechSinger: Technique Controllable Multilingual Singing Voice Synthesis via Flow Matching AAAI 2025 Think as Cardiac Sonographers: Marrying SAM with Left Ventricular Indicators Measurements According to Clinical Guidelines MICCAI 2025 Versatile Framework for Song Generation with Prompt-based Control EMNLP 2025 "Eyes Closed, Safety On: Protecting Multimodal LLMs via Image-to-Text Transformation" ECCV 2024 A Comprehensive Survey of Scientific Large Language Models and Their Applications in Scientific Discovery EMNLP 2024 Adaptive Stochastic Gradient Algorithm for Black-box Multi-Objective Learning ICLR 2024 Dissect Black Box: Interpreting for Rule-Based Explanations in Unsupervised Anomaly Detection NeurIPS 2024 Dynamic Inertial Poser (DynaIP): Part-Based Motion Dynamics Learning for Enhanced Human Pose Estimation with Sparse Inertial Sensors CVPR 2024 Forward-Backward Reasoning in Large Language Models for Mathematical Verification ACL 2024 GITA: Graph to Visual and Textual Integration for Vision-Language Graph Reasoning NeurIPS 2024 GTSinger: A Global Multi-Technique Singing Corpus with Realistic Music Scores for All Singing Tasks NeurIPS 2024 Gated Slot Attention for Efficient Linear-Time Sequence Modeling NeurIPS 2024 Gradual Domain Adaptation via Gradient Flow ICLR 2024 Graph Chain-of-Thought: Augmenting Large Language Models by Reasoning on Graphs ACL 2024 MLIP: Efficient Multi-Perspective Language-Image Pretraining with Exhaustive Data Utilization ICML 2024 MTMamba: Enhancing Multi-Task Dense Scene Understanding by Mamba-Based Decoders ECCV 2024 MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models ICLR 2024 Nemesis: Normalizing the Soft-prompt Vectors of Vision-Language Models ICLR 2024 NeuroClips: Towards High-fidelity and Smooth fMRI-to-Video Reconstruction NeurIPS 2024 Parallelizing Linear Transformers with the Delta Rule over Sequence Length NeurIPS 2024 Question-guided Knowledge Graph Re-scoring and Injection for Knowledge Graph Question Answering EMNLP 2024 Rethinking Guidance Information to Utilize Unlabeled Samples: A Label Encoding Perspective ICML 2024 Robust Singing Voice Transcription Serves Synthesis ACL 2024 RouterDC: Query-Based Router by Dual Contrastive Learning for Assembling Large Language Models NeurIPS 2024 Seed-Guided Fine-Grained Entity Typing in Science and Engineering Domains AAAI 2024 Selective Prompting Tuning for Personalized Conversations with LLMs ACL 2024 StyleSinger: Style Transfer for Out-of-Domain Singing Voice Synthesis AAAI 2024 TCSinger: Zero-Shot Singing Voice Synthesis with Style Transfer and Multi-Level Style Control EMNLP 2024 Time-Varying LoRA: Towards Effective Cross-Domain Fine-Tuning of Diffusion Models NeurIPS 2024 An Adaptive Policy to Employ Sharpness-Aware Minimization ICLR 2023 Edgeformers: Graph-Empowered Transformers for Representation Learning on Textual-Edge Networks ICLR 2023 Effective Structured Prompting by Meta-Learning and Representative Verbalizer ICML 2023 Interpreting Unsupervised Anomaly Detection in Security via Rule Extraction NeurIPS 2023 KICGPT: Large Language Model with Knowledge in Context for Knowledge Graph Completion EMNLP 2023 Learning Conflict-Noticed Architecture for Multi-Task Learning AAAI 2023 Learning Retrieval Augmentation for Personalized Dialogue Generation EMNLP 2023 Leveraging per Image-Token Consistency for Vision-Language Pre-Training CVPR 2023 LibMTL: A Python Library for Deep Multi-Task Learning JMLR 2023 MG-ViT: A Multi-Granularity Method for Compact and Efficient Vision Transformers NeurIPS 2023 Multi-Task Learning via Time-Aware Neural ODE IJCAI 2023 Non-autoregressive Text Editing with Copy-aware Latent Alignments EMNLP 2023 PIEClass: Weakly-Supervised Text Classification with Prompting and Noise-Robust Iterative Ensemble Training EMNLP 2023 Patton: Language Model Pretraining on Text-Rich Networks ACL 2023 Personalized Dialogue Generation with Persona-Adaptive Attention AAAI 2023 Tuning Language Models as Training Data Generators for Augmentation-Enhanced Few-Shot Learning ICML 2023 Visually-Aware Audio Captioning With Adaptive Audio-Visual Attention Interspeech 2023 A Study of Modeling Rising Intonation in Cantonese Neural Speech Synthesis Interspeech 2022 Disentangling Task Relations for Few-shot Text Classification via Self-Supervised Hierarchical Task Clustering EMNLP 2022 Dynamic Sparse Network for Time Series Classification: Learning What to “See” NeurIPS 2022 Fast and Accurate End-to-End Span-based Semantic Role Labeling as Word-based Graph Parsing COLING 2022 Generating Training Data with Language Models: Towards Zero-Shot Language Understanding NeurIPS 2022 Leveraging Pseudo-labeled Data to Improve Direct Speech-to-Speech Translation Interspeech 2022 LightHuBERT: Lightweight and Configurable Speech Representation Learning with Once-for-All Hidden-Unit BERT Interspeech 2022 Seed-Guided Topic Discovery with Out-of-Vocabulary Seeds NAACL 2022 Semantic Role Labeling as Dependency Parsing: Exploring Latent Tree Structures inside Arguments COLING 2022 SpeechT5: Unified-Modal Encoder-Decoder Pre-Training for Spoken Language Processing ACL 2022 Subspace Learning for Effective Meta-Learning ICML 2022 A Coarse-to-Fine Labeling Framework for Joint Word Segmentation, POS Tagging, and Constituent Parsing CoNLL 2021 Distant Transfer Learning via Deep Random Walk AAAI 2021 Distantly-Supervised Named Entity Recognition with Noise-Robust Learning and Language Model Augmented Self-Training EMNLP 2021 Effective Meta-Regularization by Kernelized Proximal Regularization NeurIPS 2021 Multi-Objective Meta Learning NeurIPS 2021 Efficient Second-Order TreeCRF for Neural Dependency Parsing ACL 2020 Fast and Accurate Neural CRF Constituency Parsing IJCAI 2020 Learn to Cross-lingual Transfer with Meta Graph Learning Across Heterogeneous Languages EMNLP 2020 Exploiting Coarse-to-Fine Task Transfer for Aspect-Level Sentiment Classification AAAI 2019 HLT@SUDA at SemEval-2019 Task 1: UCCA Graph Parsing as Constituent Tree Parsing SemEval 2019 Transferable End-to-End Aspect-based Sentiment Analysis with Selective Adversarial Learning EMNLP 2019 Learning to Multitask NeurIPS 2018 Transfer Learning via Learning to Transfer ICML 2018 Deep Neural Networks for High Dimension, Low Sample Size Data IJCAI 2017 End-to-End Adversarial Memory Network for Cross-domain Sentiment Classification IJCAI 2017 Learning High-Order Task Relationships in Multi-Task Learning IJCAI 2013 Probabilistic Multi-Task Feature Selection NeurIPS 2010 Worst-Case Linear Discriminant Analysis NeurIPS 2010