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Jiawei Jiang

26 papers · 2020–2026 · 8 conferences · across top CS/AI conferences

Achievements

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+9 more ↓ πŸƒ Academic Marathon (5) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (8) 🐝 Cross-Pollinator (10)
🌍 Conference Polyglot (8) πŸƒ Academic Marathon (5) 🧭 Keyword Pioneer πŸ† Keyword Champion (4) πŸ”₯ Unstoppable (6) ⚑ Prolific Year (8) πŸ’Ž Century Club (22) ❓ The Questioner πŸ—ƒοΈ Keyword Collector (134)

Conferences

AAAI (13) IJCAI (4) NIPS (3) ACL (2) CVPR (1) ICML (1) INTERSPEECH (1) SEMEVAL (1)

Top co-authors

Chuang Hu (6) Quanqing Xu (5) Bin CUI (5) Xiao Yan (5) Fangcheng Fu (5) Ce Zhang (4) Jingyuan Wang (3) Wentao Zhang (3) Jianwei Zheng (3) Jingling Yuan (2)

Research topics

Privacy (2)

Keywords

vertical federated learning (4) mri reconstruction (3) image reconstruction (3) deep unfolding network (3) medical imaging (3) graph neural network (2) large language model (2) multi-label classification (2) ensemble learning (2) class-balanced loss (2) hyperparameter optimization (2) deep unfolding (2) argument mining (2) machine unlearning (2) privacy preservation (2) knowledge distillation (2) traffic flow prediction (2) bayesian optimization (2) zero-shot learning (1) secure computation (1)

Papers

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 AdaMix: Adaptive Mixing for Short and Long Reasoning Adapters ACL 2026 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 Zero-shot Federated Unlearning via Transforming from Data-Dependent to Personalized Model-Centric IJCAI 2025 Towards Scalable and Deep Graph Neural Networks via Noise Masking AAAI 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 Breaking Information Isolation: Accelerating MRI via Inter-sequence Mapping and Progressive Masking AAAI 2025 Distribution-Aware Data Expansion with Diffusion Models NIPS 2024 Null Space Matters: Range-Null Decomposition for Consistent Multi-Contrast MRI Reconstruction AAAI 2024 Learning Diffusions under Uncertainty AAAI 2024 Efficient Multi-task LLM Quantization and Serving for Multiple LoRA Adapters NIPS 2024 PAI at SemEval-2023 Task 4: A General Multi-label Classification System with Class-balanced Loss Function and Ensemble Module ACL 2023 PDFormer: Propagation Delay-Aware Dynamic Long-Range Transformer for Traffic Flow Prediction AAAI 2023 Continuous Trajectory Generation Based on Two-Stage GAN AAAI 2023 An Intra-BRNN and GB-RVQ Based END-TO-END Neural Audio Codec INTERSPEECH 2023 PAI at SemEval-2023 Task 4: A General Multi-label Classification System with Class-balanced Loss Function and Ensemble Module SEMEVAL 2023 VF-PS: How to Select Important Participants in Vertical Federated Learning, Efficiently and Securely? NIPS 2022 STDEN: Towards Physics-Guided Neural Networks for Traffic Flow Prediction AAAI 2022 MFES-HB: Efficient Hyperband with Multi-Fidelity Quality Measurements AAAI 2021 Efficient Automatic CASH via Rising Bandits AAAI 2020 Don’t Waste Your Bits! Squeeze Activations and Gradients for Deep Neural Networks via TinyScript ICML 2020