Jie Ding
29 papers · 2019–2026 · 12 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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πΊοΈ Taxonomy Completionist (52) π Conference Polyglot Β· Gold π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
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Dynamic Duo
(11)
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Prolific Year Β· Productive
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Unstoppable Β· Bronze
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Century Club Β· Bronze
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Renaissance Researcher
(6)
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Trend Setter
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Keyword Collector
(143)
Venues
Top co-authors
Research topics
Machine Learning
(24)
Artificial Intelligence
(18)
Optimization & Theory
(17)
Core AI
(12)
Application Areas
(9)
Deep Learning
(8)
Learning Paradigms Β· Artificial Intelligence
(7)
Learning Paradigms Β· Machine Learning
(7)
Learning Types Β· Machine Learning
(6)
Mathematics & Optimization
(3)
Natural Language Processing
(3)
Learning Types Β· Deep Learning
(3)
Models
(3)
Core Methods
(2)
Optimization
(2)
Keywords
federated learning
(6)
fisher divergence
(4)
poisoning attack
(3)
large language model
(3)
adversarial robustness
(2)
distributed learning
(2)
model compression
(2)
uncertainty quantification
(2)
bayesian hierarchical model
(2)
backdoor attack
(2)
kullback-leibler divergence
(2)
personalized model
(2)
generative model
(2)
multi-organization learning
(2)
model security
(1)
model selection
(1)
representation learning
(1)
semi-supervised learning
(1)
neural network pruning
(1)
zero-shot learning
(1)
Papers
BURST: Seeking High-performance, Interoperability and Scalability in Soft-RDMA
NSDI 2026
AID: Adaptive Integration of Detectors for Safe AI with Language Models
NAACL 2025
AssistedDS: Benchmarking How External Domain Knowledge Assists LLMs in Automated Data Science
EMNLP 2025
DrKGC: Dynamic Subgraph Retrieval-Augmented LLMs for Knowledge Graph Completion across General and Biomedical Domains
EMNLP 2025
Drop the Beat! Freestyler for Accompaniment Conditioned Rapping Voice Generation
AAAI 2025
MAP: Multi-Human-Value Alignment Palette
ICLR 2025
On the Vulnerability of Applying Retrieval-Augmented Generation within Knowledge-Intensive Application Domains
ICML 2025
Probe Pruning: Accelerating LLMs through Dynamic Pruning via Model-Probing
ICLR 2025
Base Models for Parabolic Partial Differential Equations
UAI 2024
CroMo-Mixup: Augmenting Cross-Model Representations for Continual Self-Supervised Learning
ECCV 2024
Demystifying Poisoning Backdoor Attacks from a Statistical Perspective
ICLR 2024
RAW: A Robust and Agile Plug-and-Play Watermark Framework for AI-Generated Images with Provable Guarantees
NeurIPS 2024
Unraveling the Gradient Descent Dynamics of Transformers
NeurIPS 2024
A Unified Detection Framework for Inference-Stage Backdoor Defenses
NeurIPS 2023
Characteristic Neural Ordinary Differential Equation
ICLR 2023
Pruning Deep Neural Networks from a Sparsity Perspective
ICLR 2023
Robust Quickest Change Detection for Unnormalized Models
UAI 2023
Score-based Quickest Change Detection for Unnormalized Models
AISTATS 2023
Understanding Backdoor Attacks through the Adaptability Hypothesis
ICML 2023
ActPerFL: Active Personalized Federated Learning
ACL 2022
GAL: Gradient Assisted Learning for Decentralized Multi-Organization Collaborations
NeurIPS 2022
Self-Aware Personalized Federated Learning
NeurIPS 2022
SemiFL: Semi-Supervised Federated Learning for Unlabeled Clients with Alternate Training
NeurIPS 2022
Fisher Auto-Encoders
AISTATS 2021
HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients
ICLR 2021
Information Laundering for Model Privacy
ICLR 2021
Model Linkage Selection for Cooperative Learning
JMLR 2021
Assisted Learning: A Framework for Multi-Organization Learning
NeurIPS 2020
Gradient Information for Representation and Modeling
NeurIPS 2019