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Jinghan Jia

18 papers · 2022–2026 · 9 conferences · across top CS/AI conferences

Achievements

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+8 more ↓ 🐝 Cross-Pollinator (12) 🌍 Conference Polyglot (8) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌈 Renaissance Researcher (6)
🐝 Cross-Pollinator (12) 🤝 Dynamic Duo (15) 💎 Century Club (17) 🔥 Unstoppable (5) Prolific Year (7) 📈 Trend Setter The Questioner (3) 🗃️ Keyword Collector (63)

Conferences

NIPS (5) ICLR (3) ICML (3) EMNLP (2) ACL (1) CVPR (1) EACL (1) ECCV (1) NAACL (1)

Papers

BLUR: A Bi-Level Optimization Approach for LLM Unlearning EACL 2026 Reasoning Model Unlearning: Forgetting Traces, Not Just Answers, While Preserving Reasoning Skills EMNLP 2025 SEUF: Is Unlearning One Expert Enough for Mixture-of-Experts LLMs? ACL 2025 Towards LLM Unlearning Resilient to Relearning Attacks: A Sharpness-Aware Minimization Perspective and Beyond ICML 2025 Invariance Makes LLM Unlearning Resilient Even to Unanticipated Downstream Fine-Tuning ICML 2025 Robust Multi-bit Text Watermark with LLM-based Paraphrasers ICML 2025 Leveraging LLMs for Dialogue Quality Measurement NAACL 2024 To Generate or Not? Safety-Driven Unlearned Diffusion Models Are Still Easy To Generate Unsafe Images ... For Now ECCV 2024 SOUL: Unlocking the Power of Second-Order Optimization for LLM Unlearning EMNLP 2024 DeepZero: Scaling Up Zeroth-Order Optimization for Deep Model Training ICLR 2024 Defensive Unlearning with Adversarial Training for Robust Concept Erasure in Diffusion Models NIPS 2024 WAGLE: Strategic Weight Attribution for Effective and Modular Unlearning in Large Language Models NIPS 2024 UnlearnCanvas: Stylized Image Dataset for Enhanced Machine Unlearning Evaluation in Diffusion Models NIPS 2024 Model Sparsity Can Simplify Machine Unlearning NIPS 2023 Selectivity Drives Productivity: Efficient Dataset Pruning for Enhanced Transfer Learning NIPS 2023 TextGrad: Advancing Robustness Evaluation in NLP by Gradient-Driven Optimization ICLR 2023 Text-Visual Prompting for Efficient 2D Temporal Video Grounding CVPR 2023 How to Robustify Black-Box ML Models? A Zeroth-Order Optimization Perspective ICLR 2022