Jie Ding
28 papers · 2019–2025 · 11 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (11) π Academic Marathon (6) π Interdisciplinary Bridge π§ Keyword Pioneer π£ Hot Topic Early Bird
π§
Keyword Pioneer
π
Cross-Pollinator
(11)
πΊοΈ
Taxonomy Completionist
(46)
π€
Dynamic Duo
(11)
π
Triple Crown
π
Grand Slam
π
Keyword Champion
(4)
π
Century Club
(28)
π
Trend Setter
β‘
Prolific Year
(5)
ποΈ
Keyword Collector
(98)
π₯
Unstoppable
(7)
Conferences
NIPS (8)
ICLR (7)
AISTATS (2)
EMNLP (2)
ICML (2)
UAI (2)
AAAI (1)
ACL (1)
ECCV (1)
JMLR (1)
NAACL (1)
Top co-authors
Keywords
federated learning
(5)
fisher divergence
(4)
uncertainty quantification
(2)
distributed learning
(2)
generative model
(2)
personalized model
(2)
kullback-leibler divergence
(2)
bayesian hierarchical model
(2)
multi-organization learning
(2)
large language model
(2)
semi-supervised learning
(1)
change detection
(1)
attention mechanism
(1)
knowledge distillation
(1)
zero-shot learning
(1)
transformer architecture
(1)
bayesian inference
(1)
privacy preservation
(1)
model security
(1)
learning theory
(1)
Papers
On the Vulnerability of Applying Retrieval-Augmented Generation within Knowledge-Intensive Application Domains
ICML 2025
Drop the Beat! Freestyler for Accompaniment Conditioned Rapping Voice Generation
AAAI 2025
DrKGC: Dynamic Subgraph Retrieval-Augmented LLMs for Knowledge Graph Completion across General and Biomedical Domains
EMNLP 2025
Probe Pruning: Accelerating LLMs through Dynamic Pruning via Model-Probing
ICLR 2025
MAP: Multi-Human-Value Alignment Palette
ICLR 2025
AssistedDS: Benchmarking How External Domain Knowledge Assists LLMs in Automated Data Science
EMNLP 2025
AID: Adaptive Integration of Detectors for Safe AI with Language Models
NAACL 2025
Base Models for Parabolic Partial Differential Equations
UAI 2024
Unraveling the Gradient Descent Dynamics of Transformers
NIPS 2024
RAW: A Robust and Agile Plug-and-Play Watermark Framework for AI-Generated Images with Provable Guarantees
NIPS 2024
CroMo-Mixup: Augmenting Cross-Model Representations for Continual Self-Supervised Learning
ECCV 2024
Demystifying Poisoning Backdoor Attacks from a Statistical Perspective
ICLR 2024
Robust Quickest Change Detection for Unnormalized Models
UAI 2023
A Unified Detection Framework for Inference-Stage Backdoor Defenses
NIPS 2023
Pruning Deep Neural Networks from a Sparsity Perspective
ICLR 2023
Characteristic Neural Ordinary Differential Equation
ICLR 2023
Understanding Backdoor Attacks through the Adaptability Hypothesis
ICML 2023
Score-based Quickest Change Detection for Unnormalized Models
AISTATS 2023
GAL: Gradient Assisted Learning for Decentralized Multi-Organization Collaborations
NIPS 2022
ActPerFL: Active Personalized Federated Learning
ACL 2022
Self-Aware Personalized Federated Learning
NIPS 2022
SemiFL: Semi-Supervised Federated Learning for Unlabeled Clients with Alternate Training
NIPS 2022
Model Linkage Selection for Cooperative Learning
JMLR 2021
Fisher Auto-Encoders
AISTATS 2021
HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients
ICLR 2021
Information Laundering for Model Privacy
ICLR 2021
Assisted Learning: A Framework for Multi-Organization Learning
NIPS 2020
Gradient Information for Representation and Modeling
NIPS 2019