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Junyuan Hong

20 papers · 2021–2025 · 7 conferences · across top CS/AI conferences

Achievements

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+9 more ↓ 🐝 Cross-Pollinator (14) 🌈 Renaissance Researcher (5) πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (7) πŸ—ΊοΈ Taxonomy Completionist (30)
🐣 Hot Topic Early Bird 🌍 Conference Polyglot (7) 🀝 Dynamic Duo (13) πŸ‘‘ Triple Crown πŸ† Grand Slam πŸ”₯ Unstoppable (5) πŸ’Ž Century Club (20) πŸ—ƒοΈ Keyword Collector (60) ⚑ Prolific Year (5)

Conferences

ICML (6) ICLR (5) NIPS (3) AAAI (2) NAACL (2) AISTATS (1) EMNLP (1)

Papers

MedHallu: A Comprehensive Benchmark for Detecting Medical Hallucinations in Large Language Models EMNLP 2025 GuideLLM: Exploring LLM-Guided Conversation with Applications in Autobiography Interviewing NAACL 2025 Extracting and Understanding the Superficial Knowledge in Alignment NAACL 2025 GuardAgent: Safeguard LLM Agents via Knowledge-Enabled Reasoning ICML 2025 Safe and Robust Watermark Injection with a Single OoD Image ICLR 2024 On the Generalization Ability of Unsupervised Pretraining AISTATS 2024 DP-OPT: Make Large Language Model Your Privacy-Preserving Prompt Engineer ICLR 2024 Decoding Compressed Trust: Scrutinizing the Trustworthiness of Efficient LLMs Under Compression ICML 2024 Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark ICML 2024 MECTA: Memory-Economic Continual Test-Time Model Adaptation ICLR 2023 Revisiting Data-Free Knowledge Distillation with Poisoned Teachers ICML 2023 Understanding Deep Gradient Leakage via Inversion Influence Functions NIPS 2023 Federated Robustness Propagation: Sharing Adversarial Robustness in Heterogeneous Federated Learning AAAI 2023 Turning the Curse of Heterogeneity in Federated Learning into a Blessing for Out-of-Distribution Detection ICLR 2023 Trap and Replace: Defending Backdoor Attacks by Trapping Them into an Easy-to-Replace Subnetwork NIPS 2022 Efficient Split-Mix Federated Learning for On-Demand and In-Situ Customization ICLR 2022 Outsourcing Training without Uploading Data via Efficient Collaborative Open-Source Sampling NIPS 2022 Resilient and Communication Efficient Learning for Heterogeneous Federated Systems ICML 2022 Learning Model-Based Privacy Protection under Budget Constraints AAAI 2021 Data-Free Knowledge Distillation for Heterogeneous Federated Learning ICML 2021