Jiawei Jiang
25 papers · 2020–2026 · 8 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (61) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Keyword Collector
(142)
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Renaissance Researcher
(9)
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Unstoppable Β· Bronze
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The Questioner
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Prolific Year Β· Productive
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Century Club Β· Bronze
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Research topics
Machine Learning
(22)
Deep Learning
(14)
Application Areas
(14)
Artificial Intelligence
(13)
Optimization & Theory
(11)
Core AI
(9)
Learning Types Β· Machine Learning
(8)
Architectures
(7)
Learning Paradigms
(6)
Learning Types Β· Deep Learning
(6)
Models
(6)
Core Methods
(5)
Computer Vision
(3)
Healthcare & Medicine
(3)
Clinical
(3)
Keywords
vertical federated learning
(4)
medical imaging
(3)
deep unfolding network
(3)
mri reconstruction
(3)
graph neural network
(3)
image reconstruction
(3)
knowledge distillation
(2)
large language model
(2)
deep unfolding
(2)
traffic flow prediction
(2)
machine unlearning
(2)
zero-shot learning
(2)
hyperparameter optimization
(2)
privacy preservation
(2)
bayesian optimization
(2)
secure computation
(1)
contrastive learning
(1)
ensemble learning
(1)
domain generalization
(1)
representation learning
(1)
Papers
AdaMix: Adaptive Mixing for Short and Long Reasoning Adapters
ACL 2026
Privacy-protected Retrieval-Augmented Generation for Knowledge Graph Question Answering
AAAI 2026
REMISVFU: Vertical Federated Unlearning via Representation Misdirection for Intermediate Output Feature
AAAI 2026
Venom: Liquid Diffusion-Guided Gradient Inversion for Breaking Differential Privacy in Federated Learning
AAAI 2026
Breaking Information Isolation: Accelerating MRI via Inter-sequence Mapping and Progressive Masking
AAAI 2025
Exploiting Text Semantics for Few and Zero Shot Node Classification on Text-attributed Graph
IJCAI 2025
Guiding LLM-based Smart Contract Generation with Finite State Machine
IJCAI 2025
HaCore: Efficient Coreset Construction with Locality Sensitive Hashing for Vertical Federated Learning
AAAI 2025
LMO: Linear Mamba Operator for MRI Reconstruction
CVPR 2025
Model Rake: A Defense Against Stealing Attacks in Split Learning
IJCAI 2025
Towards Scalable and Deep Graph Neural Networks via Noise Masking
AAAI 2025
Zero-shot Federated Unlearning via Transforming from Data-Dependent to Personalized Model-Centric
IJCAI 2025
Distribution-Aware Data Expansion with Diffusion Models
NeurIPS 2024
Efficient Multi-task LLM Quantization and Serving for Multiple LoRA Adapters
NeurIPS 2024
Learning Diffusions under Uncertainty
AAAI 2024
Null Space Matters: Range-Null Decomposition for Consistent Multi-Contrast MRI Reconstruction
AAAI 2024
An Intra-BRNN and GB-RVQ Based END-TO-END Neural Audio Codec
Interspeech 2023
Continuous Trajectory Generation Based on Two-Stage GAN
AAAI 2023
PAI at SemEval-2023 Task 4: A General Multi-label Classification System with Class-balanced Loss Function and Ensemble Module
SemEval 2023
PDFormer: Propagation Delay-Aware Dynamic Long-Range Transformer for Traffic Flow Prediction
AAAI 2023
STDEN: Towards Physics-Guided Neural Networks for Traffic Flow Prediction
AAAI 2022
VF-PS: How to Select Important Participants in Vertical Federated Learning, Efficiently and Securely?
NeurIPS 2022
MFES-HB: Efficient Hyperband with Multi-Fidelity Quality Measurements
AAAI 2021
Donβt Waste Your Bits! Squeeze Activations and Gradients for Deep Neural Networks via TinyScript
ICML 2020
Efficient Automatic CASH via Rising Bandits
AAAI 2020