Junyuan Hong
20 papers · 2021–2025 · 7 conferences · across top CS/AI conferences
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knowledge distillation
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federated learning
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distributed learning
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transfer learning
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model compression
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deep neural network
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adversarial robustness
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natural language inference
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knowledge extraction
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unsupervised pretraining
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model behavior
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representation learning
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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