Tong Wang

Think Before You Segment: An Object-aware Reasoning Agent for Referring Audio-Visual Segmentation AAAI 2026 THESAURUS: Contrastive Graph Clustering by Swapping Fused Gromov-Wasserstein Couplings AAAI 2025 A Regional-Level Resource-Saving Model for Winter Road Surface Snow Detection in Extreme Weathers WACV 2025 Will Annotators Disagree? Identifying Subjectivity in Value-Laden Arguments EMNLP 2025 LIRA: Reasoning Reconstruction via Multimodal Large Language Models ICCV 2025 Llama See, Llama Do: A Mechanistic Perspective on Contextual Entrainment and Distraction in LLMs ACL 2025 Clients Collaborate: Flexible Differentially Private Federated Learning with Guaranteed Improvement of Utility-Privacy Trade-off ICML 2025 ODA-GAN: Orthogonal Decoupling Alignment GAN Assisted by Weakly-supervised Learning for Virtual Immunohistochemistry Staining CVPR 2025 GlyphMastero: A Glyph Encoder for High-Fidelity Scene Text Editing CVPR 2025 Energy-induced Explicit quantification for Multi-modality MRI fusion ECCV 2024 SEED: A Simple and Effective 3D DETR in Point Clouds ECCV 2024 OPEN: Object-wise Position Embedding for Multi-view 3D Object Detection ECCV 2024 Improving Decision Sparsity NIPS 2024 Inspecting Prediction Confidence for Detecting Black-Box Backdoor Attacks AAAI 2024 Semantic-Aware Autoregressive Image Modeling for Visual Representation Learning AAAI 2024 Less is More for Improving Automatic Evaluation of Factual Consistency NAACL 2024 Double-tier Attention based Multi-label Learning Network for Predicting Biomarkers from Whole Slide Images of Breast Cancer MICCAI 2024 Long-Short-Range Message-Passing: A Physics-Informed Framework to Capture Non-Local Interaction for Scalable Molecular Dynamics Simulation ICLR 2024 Sparse and Faithful Explanations Without Sparse Models AISTATS 2024 General-to-Specific Transfer Labeling for Domain Adaptable Keyphrase Generation ACL 2023 Selecting Better Samples from Pre-trained LLMs: A Case Study on Question Generation ACL 2023 ProtoryNet - Interpretable Text Classification Via Prototype Trajectories JMLR 2023 An Empirical Study of Instruction-tuning Large Language Models in Chinese EMNLP 2023 Semantics-Consistent Feature Search for Self-Supervised Visual Representation Learning ICCV 2023 DropPos: Pre-Training Vision Transformers by Reconstructing Dropped Positions NIPS 2023 Efficiently incorporating quintuple interactions into geometric deep learning force fields NIPS 2023 Geometric Transformer with Interatomic Positional Encoding NIPS 2023 DeepMaven: Deep Question Answering on Long-Distance Movie/TV Show Videos with Multimedia Knowledge Extraction and Synthesis EACL 2023 An Invisible Black-Box Backdoor Attack through Frequency Domain ECCV 2022 Meta-Adapters: Parameter Efficient Few-shot Fine-tuning through Meta-Learning AUTOML 2022 Better Language Model with Hypernym Class Prediction ACL 2022 ProtoX: Explaining a Reinforcement Learning Agent via Prototyping NIPS 2022 C2AM Loss: Chasing a Better Decision Boundary for Long-Tail Object Detection CVPR 2022 Hybrid Predictive Models: When an Interpretable Model Collaborates with a Black-box Model JMLR 2021 Bringing Structure into Summaries: a Faceted Summarization Dataset for Long Scientific Documents ACL 2021 Personalized Entity Resolution with Dynamic Heterogeneous KnowledgeGraph Representations ACL 2021 Adaptive Class Suppression Loss for Long-Tail Object Detection CVPR 2021 Diverse Distributions of Self-Supervised Tasks for Meta-Learning in NLP EMNLP 2021 Bringing Structure into Summaries: a Faceted Summarization Dataset for Long Scientific Documents IJCNLP 2021 Personalized Entity Resolution with Dynamic Heterogeneous KnowledgeGraph Representations IJCNLP 2021 An Empirical Study on Neural Keyphrase Generation NAACL 2021 Optimizing NLU Reranking Using Entity Resolution Signals in Multi-domain Dialog Systems NAACL 2021 Entity Resolution in Open-domain Conversations NAACL 2021 Interpretable Companions for Black-Box Models AISTATS 2020 Transparency Promotion with Model-Agnostic Linear Competitors ICML 2020 One Size Does Not Fit All: Generating and Evaluating Variable Number of Keyphrases ACL 2020 Entity Linking for Short Text Using Structured Knowledge Graph via Multi-Grained Text Matching INTERSPEECH 2020 Exploring and Predicting Transferability across NLP Tasks EMNLP 2020 Large Batch Optimization for Object Detection: Training COCO in 12 Minutes ECCV 2020 Metalearned Neural Memory NIPS 2019 Gaining Free or Low-Cost Interpretability with Interpretable Partial Substitute ICML 2019 Multi-value Rule Sets for Interpretable Classification with Feature-Efficient Representations NIPS 2018 Neural Models for Key Phrase Extraction and Question Generation ACL 2018 Predicting the Quality of Short Narratives from Social Media IJCAI 2017 A Bayesian Framework for Learning Rule Sets for Interpretable Classification JMLR 2017 Learning Lexical Embeddings with Syntactic and Lexicographic Knowledge IJCNLP 2015 Extended Topic Model for Word Dependency IJCNLP 2015 Extended Topic Model for Word Dependency ACL 2015 Learning Lexical Embeddings with Syntactic and Lexicographic Knowledge ACL 2015 Applying a Naive Bayes Similarity Measure to Word Sense Disambiguation ACL 2014 Predicting Word Clipping with Latent Semantic Analysis IJCNLP 2011 Refining the Notions of Depth and Density in WordNet-based Semantic Similarity Measures EMNLP 2011 Near-synonym Lexical Choice in Latent Semantic Space COLING 2010 Automatic Acquisition of Lexical Formality COLING 2010