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Jie Ding

28 papers · 2019–2025 · 11 conferences · across top CS/AI conferences

Achievements

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+12 more ↓ 🌍 Conference Polyglot (11) πŸƒ Academic Marathon (6) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird
🧭 Keyword Pioneer 🐝 Cross-Pollinator (11) πŸ—ΊοΈ Taxonomy Completionist (46) 🀝 Dynamic Duo (11) πŸ‘‘ Triple Crown πŸ† Grand Slam πŸ† Keyword Champion (4) πŸ’Ž Century Club (28) πŸ“ˆ Trend Setter ⚑ Prolific Year (5) πŸ—ƒοΈ Keyword Collector (98) πŸ”₯ 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)

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