← Authors

Tong Wang

64 papers · 2010–2026 · 20 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (20) πŸ—ΊοΈ Taxonomy Completionist (10) 🧭 Keyword Pioneer πŸŒ‰ Interdisciplinary Bridge πŸƒ Academic Marathon (15) 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (10) 🌈 Renaissance Researcher (9) 🧬 Topic Evolution πŸ”¬ Deep Specialist (10) πŸ† Grand Slam πŸ† Keyword Champion (2) πŸ—ƒοΈ Keyword Collector (221) ⚑ Prolific Year (6) πŸš€ Conference Pioneer πŸ“ˆ Trend Setter πŸ’Ž Century Club (63) πŸ”₯ Unstoppable (9) ❓ The Questioner

Conferences

ACL (11) NIPS (7) ECCV (5) EMNLP (5) IJCNLP (5) AAAI (4) CVPR (4) NAACL (4) ICML (3) JMLR (3) AISTATS (2) COLING (2) ICCV (2) WACV (1) MICCAI (1) INTERSPEECH (1) IJCAI (1) ICLR (1) EACL (1) AUTOML (1)

Top co-authors

Xingdi Yuan (8) Graeme Hirst (7) Han Wang (6) Adam Trischler (5) Rui Meng (5) Daqing He (5) Yue Liu (5) Yang Liu (5) Jiangning Chen (4) Jinqiao Wang (3)

Keywords

text generation (5) self-supervised learning (5) contrastive learning (4) text classification (4) black-box model (4) model interpretability (4) entity resolution (4) representation learning (3) recurrent neural network (3) few-shot learning (3) prototype learning (3) transfer learning (3) knowledge graph (3) language model (3) large language model (3) feature attribution (2) domain adaptation (2) feature importance (2) visual representation learning (2) vision transformer (2)

Papers

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