Dongkuan Xu
33 papers · 2019–2026 · 13 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (10) π§ Keyword Pioneer π Academic Marathon (7) π Conference Polyglot (13) π Renaissance Researcher (9)
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Renaissance Researcher
(9)
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Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(84)
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Keyword Champion
π§¬
Topic Evolution
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Trend Setter
π₯
Unstoppable
(8)
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Prolific Year
(8)
ποΈ
Keyword Collector
(172)
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Century Club
(33)
Conferences
AAAI (9)
ACL (5)
EMNLP (4)
IJCAI (3)
NIPS (3)
CVPR (2)
AISTATS (1)
ECCV (1)
ICCV (1)
ICLR (1)
IJCNLP (1)
NAACL (1)
WACV (1)
Top co-authors
Keywords
large language model
(5)
knowledge distillation
(4)
model compression
(4)
node classification
(3)
data augmentation
(3)
model pruning
(3)
representation learning
(2)
dataset distillation
(2)
graph neural network
(2)
generative model
(2)
adversarial training
(2)
multi-task learning
(2)
sparse model
(2)
longitudinal datum
(2)
natural language inference
(2)
text classification
(2)
code generation
(2)
domain adaptation
(2)
recurrent neural network
(2)
variable selection
(1)
Papers
Integrating Multi-scale and Multi-filtration Topological Features for Medical Image Classification
WACV 2026
Exploring Multi-Modal Data with Tool-Augmented LLM Agents for Precise Causal Discovery
ACL 2025
Studentsβ Perceptions and Preferences of Generative Artificial Intelligence Feedback for Programming
AAAI 2024
On the Essence and Prospect: An Investigation of Alignment Approaches for Big Models
IJCAI 2024
Purpose Enhanced Reasoning through Iterative Prompting: Uncover Latent Robustness of ChatGPT on Code Comprehension
IJCAI 2024
AdaDiff: Accelerating Diffusion Models through Step-Wise Adaptive Computation
ECCV 2024
DALD: Improving Logits-based Detector without Logits from Black-box LLMs
NIPS 2024
Efficient Informed Proposals for Discrete Distributions via Newtonβs Series Approximation
AISTATS 2023
Time Series Contrastive Learning with Information-Aware Augmentations
AAAI 2023
Auto-CM: Unsupervised Deep Learning for Satellite Imagery Composition and Cloud Masking Using Spatio-Temporal Dynamics
AAAI 2023
A Survey for Efficient Open Domain Question Answering
ACL 2023
Labels are not necessary: Assessing peer-review helpfulness using domain adaptation based on self-training
ACL 2023
You Need Multiple Exiting: Dynamic Early Exiting for Accelerating Unified Vision Language Model
CVPR 2023
Accelerating Dataset Distillation via Model Augmentation
CVPR 2023
Towards Robust Pruning: An Adaptive Knowledge-Retention Pruning Strategy for Language Models
EMNLP 2023
Gentopia.AI: A Collaborative Platform for Tool-Augmented LLMs
EMNLP 2023
Breaking through Deterministic Barriers: Randomized Pruning Mask Generation and Selection
EMNLP 2023
Co-evolving data-driven and NLU-driven Synthesizers for Generating Code in Domain Growth and Data Scarcity
EMNLP 2023
Rethinking Data Distillation: Do Not Overlook Calibration
ICCV 2023
Calibrating the Rigged Lottery: Making All Tickets Reliable
ICLR 2023
Sparse Progressive Distillation: Resolving Overfitting under Pretrain-and-Finetune Paradigm
ACL 2022
Multi-Task Recurrent Modular Networks
AAAI 2021
InfoGCL: Information-Aware Graph Contrastive Learning
NIPS 2021
Data Augmentation with Adversarial Training for Cross-Lingual NLI
IJCNLP 2021
Transformer-Style Relational Reasoning with Dynamic Memory Updating for Temporal Network Modeling
AAAI 2021
Rethinking Network Pruning β under the Pre-train and Fine-tune Paradigm
NAACL 2021
How Do We Move: Modeling Human Movement with System Dynamics
AAAI 2021
Longitudinal Deep Kernel Gaussian Process Regression
AAAI 2021
Data Augmentation with Adversarial Training for Cross-Lingual NLI
ACL 2021
LMLFM: Longitudinal Multi-Level Factorization Machine
AAAI 2020
Tensorized LSTM with Adaptive Shared Memory for Learning Trends in Multivariate Time Series
AAAI 2020
Parameterized Explainer for Graph Neural Network
NIPS 2020
Spatio-Temporal Attentive RNN for Node Classification in Temporal Attributed Graphs
IJCAI 2019