← Authors

Dejing Dou

62 papers · 2015–2025 · 14 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🌈 Renaissance Researcher (5) 🌍 Conference Polyglot (14) πŸƒ Academic Marathon (10) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (114) 🐝 Cross-Pollinator (11) 🧭 Keyword Pioneer 🌟 Keyword Trendsetter Combo (3) 🀝 Dynamic Duo (13) πŸ‘‘ Triple Crown πŸ† Keyword Champion (2) πŸ† Grand Slam πŸ”¬ Deep Specialist (11) πŸ’Ž Century Club (62) ⚑ Prolific Year (12) πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (292) πŸ”₯ Unstoppable (8)

Conferences

AAAI (13) EMNLP (12) ICML (7) NIPS (7) ACL (4) CVPR (4) IJCAI (4) COLING (3) NAACL (3) EACL (1) ECCV (1) ICCV (1) ICLR (1) JMLR (1)

Top co-authors

Yang Zhou (13) Ji Liu (11) Ruoming Jin (8) Haoyi Xiong (8) Zijie Zhang (8) Xingjian Li (7) Thien Huu Nguyen (6) Jiaxiang Ren (6) Hui Xiong (5) Tianshi Che (5)

Research topics

Differential Privacy (1)

Keywords

graph neural network (10) federated learning (7) domain adaptation (5) multi-task learning (4) graph convolutional network (4) knowledge graph (4) dependency tree (4) relation extraction (3) adversarial attack (3) syntactic structure (3) adversarial example (3) representation learning (3) pre-trained language model (3) adversarial training (2) distributed learning (2) short text classification (2) attention mechanism (2) deep learning (2) graph matching (2) few-shot learning (2)

Papers

Reasoning to Attend: Try to Understand How <SEG> Token Works CVPR 2025
Flexible, Efficient, and Stable Adversarial Attacks on Machine Unlearning ICML 2025
Fisher Information-based Efficient Curriculum Federated Learning with Large Language Models EMNLP 2024
G–LIME: Statistical Learning for Local Interpretations of Deep Neural Networks Using Global Priors (Abstract Reprint) AAAI 2024
FedASMU: Efficient Asynchronous Federated Learning with Dynamic Staleness-Aware Model Update AAAI 2024
Spectral Enhanced Rectangle Transformer for Hyperspectral Image Denoising CVPR 2023
Federated Learning of Large Language Models with Parameter-Efficient Prompt Tuning and Adaptive Optimization EMNLP 2023
Learning from Training Dynamics: Identifying Mislabeled Data beyond Manually Designed Features AAAI 2023
Fast Federated Machine Unlearning with Nonlinear Functional Theory ICML 2023
Towards Table-to-Text Generation with Pretrained Language Model: A Table Structure Understanding and Text Deliberating Approach EMNLP 2022
Simplified Graph Learning for Inductive Short Text Classification EMNLP 2022
ClinicalT5: A Generative Language Model for Clinical Text EMNLP 2022
Cross-lingual Short-text Entity Linking: Generating Features for Neuro-Symbolic Methods EMNLP 2022
Accelerated Federated Learning with Decoupled Adaptive Optimization ICML 2022
GeomGCL: Geometric Graph Contrastive Learning for Molecular Property Prediction AAAI 2022
Efficient Device Scheduling with Multi-Job Federated Learning AAAI 2022
RGL: A Simple yet Effective Relation Graph Augmented Prompt-based Tuning Approach for Few-Shot Learning NAACL 2022
InterpretDL: Explaining Deep Models in PaddlePaddle JMLR 2022
AutoMS: Automatic Model Selection for Novelty Detection with Error Rate Control NIPS 2022
FedDUAP: Federated Learning with Dynamic Update and Adaptive Pruning Using Shared Data on the Server IJCAI 2022
Generative Time Series Forecasting with Diffusion, Denoise, and Disentanglement NIPS 2022
Noise Stability Regularization for Improving BERT Fine-tuning NAACL 2021
Validating the Lottery Ticket Hypothesis with Inertial Manifold Theory NIPS 2021
Hierarchical Heterogeneous Graph Representation Learning for Short Text Classification EMNLP 2021
Adversarial Attack against Cross-lingual Knowledge Graph Alignment EMNLP 2021
Joint Air Quality and Weather Prediction Based on Multi-Adversarial Spatiotemporal Networks AAAI 2021
Parameter-Efficient Domain Knowledge Integration from Multiple Sources for Biomedical Pre-trained Language Models EMNLP 2021
ArtFlow: Unbiased Image Style Transfer via Reversible Neural Flows CVPR 2021
Adaptive Consistency Regularization for Semi-Supervised Transfer Learning CVPR 2021
Temporal Relational Modeling with Self-Supervision for Action Segmentation AAAI 2021
Community-Aware Multi-Task Transportation Demand Prediction AAAI 2021
Semantic Oppositeness Assisted Deep Contextual Modeling for Automatic Rumor Detection in Social Networks EACL 2021
C-Watcher: A Framework for Early Detection of High-Risk Neighborhoods Ahead of COVID-19 Outbreak AAAI 2021
Generalized DataWeighting via Class-Level Gradient Manipulation NIPS 2021
Semi-Supervised Active Learning With Temporal Output Discrepancy ICCV 2021
Out-of-Town Recommendation with Travel Intention Modeling AAAI 2021
Expressive 1-Lipschitz Neural Networks for Robust Multiple Graph Learning against Adversarial Attacks ICML 2021
Integrated Defense for Resilient Graph Matching ICML 2021
Property-Aware Relation Networks for Few-Shot Molecular Property Prediction NIPS 2021
RIFLE: Backpropagation in Depth for Deep Transfer Learning through Re-Initializing the Fully-connected LayEr ICML 2020
Adversarial Attacks on Deep Graph Matching NIPS 2020
A Joint Model for Definition Extraction with Syntactic Connection and Semantic Consistency AAAI 2020
Multi-View Consistency for Relation Extraction via Mutual Information and Structure Prediction AAAI 2020
Learning Conceptual-Contextual Embeddings for Medical Text AAAI 2020
Exploiting the Syntax-Model Consistency for Neural Relation Extraction ACL 2020
Exploiting Node Content for Multiview Graph Convolutional Network and Adversarial Regularization COLING 2020
Cross-Task Transfer for Geotagged Audiovisual Aerial Scene Recognition ECCV 2020
Introducing Syntactic Structures into Target Opinion Word Extraction with Deep Learning EMNLP 2020
Improving Aspect-based Sentiment Analysis with Gated Graph Convolutional Networks and Syntax-based Regulation EMNLP 2020
Pay Attention to Features, Transfer Learn Faster CNNs ICLR 2020
Discriminative Sounding Objects Localization via Self-supervised Audiovisual Matching NIPS 2020
Scalable Differential Privacy with Certified Robustness in Adversarial Learning ICML 2020
Generating Person Images with Appearance-aware Pose Stylizer IJCAI 2020
Delta Embedding Learning ACL 2019
Improving Cross-Domain Performance for Relation Extraction via Dependency Prediction and Information Flow Control IJCAI 2019
Heterogeneous Gaussian Mechanism: Preserving Differential Privacy in Deep Learning with Provable Robustness IJCAI 2019
Graph based Neural Networks for Event Factuality Prediction using Syntactic and Semantic Structures ACL 2019
On Adversarial Examples for Character-Level Neural Machine Translation COLING 2018
HotFlip: White-Box Adversarial Examples for Text Classification ACL 2018
Weakly Supervised Tweet Stance Classification by Relational Bootstrapping EMNLP 2016
A Joint Sentiment-Target-Stance Model for Stance Classification in Tweets COLING 2016
Chain Based RNN for Relation Classification NAACL 2015