Dejing Dou
64 papers · 2015–2026 · 14 conferences · across top CS/AI conferences
Achievements
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(114)
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Cross-Pollinator
(11)
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Keyword Pioneer
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Keyword Trendsetter Combo
(3)
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Dynamic Duo
(13)
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Triple Crown
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Keyword Champion
(2)
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Grand Slam
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Deep Specialist
(11)
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Century Club
(62)
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Prolific Year
(12)
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Trend Setter
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Keyword Collector
(292)
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Unstoppable
(8)
Conferences
AAAI (13)
EMNLP (12)
ICML (7)
NIPS (7)
ACL (6)
CVPR (4)
IJCAI (4)
COLING (3)
NAACL (3)
EACL (1)
ECCV (1)
ICCV (1)
ICLR (1)
JMLR (1)
Top co-authors
Research topics
Keywords
graph neural network
(10)
federated learning
(7)
domain adaptation
(5)
graph convolutional network
(4)
dependency tree
(4)
knowledge graph
(4)
multi-task learning
(4)
relation extraction
(3)
adversarial attack
(3)
syntactic structure
(3)
large language model
(3)
adversarial example
(3)
representation learning
(3)
pre-trained language model
(3)
distributed learning
(2)
adversarial training
(2)
self-supervised learning
(2)
attention mechanism
(2)
short text classification
(2)
reinforcement learning
(2)
Papers
AnchorSeg: Language Grounded Query Banks for Reasoning Segmentation
ACL 2026
AAPO: Enhancing the Reasoning Capabilities of LLMs with Advantage Margin
ACL 2026
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
GβLIME: 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
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
Spectral Enhanced Rectangle Transformer for Hyperspectral Image Denoising
CVPR 2023
Fast Federated Machine Unlearning with Nonlinear Functional Theory
ICML 2023
Simplified Graph Learning for Inductive Short Text Classification
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
AutoMS: Automatic Model Selection for Novelty Detection with Error Rate Control
NIPS 2022
InterpretDL: Explaining Deep Models in PaddlePaddle
JMLR 2022
Generative Time Series Forecasting with Diffusion, Denoise, and Disentanglement
NIPS 2022
FedDUAP: Federated Learning with Dynamic Update and Adaptive Pruning Using Shared Data on the Server
IJCAI 2022
Towards Table-to-Text Generation with Pretrained Language Model: A Table Structure Understanding and Text Deliberating Approach
EMNLP 2022
ClinicalT5: A Generative Language Model for Clinical Text
EMNLP 2022
Validating the Lottery Ticket Hypothesis with Inertial Manifold Theory
NIPS 2021
Noise Stability Regularization for Improving BERT Fine-tuning
NAACL 2021
Hierarchical Heterogeneous Graph Representation Learning for Short Text Classification
EMNLP 2021
Adversarial Attack against Cross-lingual Knowledge Graph Alignment
EMNLP 2021
ArtFlow: Unbiased Image Style Transfer via Reversible Neural Flows
CVPR 2021
Adaptive Consistency Regularization for Semi-Supervised Transfer Learning
CVPR 2021
Community-Aware Multi-Task Transportation Demand Prediction
AAAI 2021
Semi-Supervised Active Learning With Temporal Output Discrepancy
ICCV 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
Parameter-Efficient Domain Knowledge Integration from Multiple Sources for Biomedical Pre-trained Language Models
EMNLP 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
Joint Air Quality and Weather Prediction Based on Multi-Adversarial Spatiotemporal Networks
AAAI 2021
Temporal Relational Modeling with Self-Supervision for Action Segmentation
AAAI 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
Improving Cross-Domain Performance for Relation Extraction via Dependency Prediction and Information Flow Control
IJCAI 2019
Graph based Neural Networks for Event Factuality Prediction using Syntactic and Semantic Structures
ACL 2019
Delta Embedding Learning
ACL 2019
Heterogeneous Gaussian Mechanism: Preserving Differential Privacy in Deep Learning with Provable Robustness
IJCAI 2019
HotFlip: White-Box Adversarial Examples for Text Classification
ACL 2018
On Adversarial Examples for Character-Level Neural Machine Translation
COLING 2018
A Joint Sentiment-Target-Stance Model for Stance Classification in Tweets
COLING 2016
Weakly Supervised Tweet Stance Classification by Relational Bootstrapping
EMNLP 2016
Chain Based RNN for Relation Classification
NAACL 2015