Bo Han
- Papers
- 26
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Authored papers
26AlphaApollo: Orchestrating Foundation Models and Professional Tools into a Self-Evolving System for Deep Agentic Reasoning
arXiv 2025
Landscape of Thoughts: Visualizing the Reasoning Process of Large Language Models
arXiv 2025
Understanding and Enhancing the Transferability of Jailbreaking Attacks
arXiv 2025
Enhancing One-Shot Federated Learning Through Data and Ensemble Co-Boosting
arXiv 2024
MotionLLaMA: A Unified Framework for Motion Synthesis and Comprehension
arXiv 2024
Detecting Machine-Generated Texts by Multi-Population Aware Optimization for Maximum Mean Discrepancy
arXiv 2024
Can Language Models Perform Robust Reasoning in Chain-of-thought Prompting with Noisy Rationales?
arXiv 2024
Robust Training of Federated Models with Extremely Label Deficiency
arXiv 2024
Layer-Aware Analysis of Catastrophic Overfitting: Revealing the Pseudo-Robust Shortcut Dependency
arXiv 2024
NoiseDiffusion: Correcting Noise for Image Interpolation with Diffusion Models beyond Spherical Linear Interpolation
arXiv 2024
Golden Noise for Diffusion Models: A Learning Framework
ICCV 2025
Negative Label Guided OOD Detection with Pretrained Vision-Language Models
arXiv 2024
What If the Input is Expanded in OOD Detection?
arXiv 2024
Less is More: One-shot Subgraph Reasoning on Large-scale Knowledge Graphs
arXiv 2024
Detecting Adversarial Data by Probing Multiple Perturbations Using Expected Perturbation Score
arXiv 2023
On Strengthening and Defending Graph Reconstruction Attack with Markov Chain Approximation
arXiv 2023
Exploring Model Dynamics for Accumulative Poisoning Discovery
arXiv 2023
DeepInception: Hypnotize Large Language Model to Be Jailbreaker
arXiv 2023
Moderately Distributional Exploration for Domain Generalization
arXiv 2023
On the Over-Memorization During Natural, Robust and Catastrophic Overfitting
arXiv 2023
Unleashing Mask: Explore the Intrinsic Out-of-Distribution Detection Capability
arXiv 2023
Neural Atoms: Propagating Long-range Interaction in Molecular Graphs through Efficient Communication Channel
arXiv 2023
Label-Noise Learning with Intrinsically Long-Tailed Data
ICCV 2023 1
NAS-LID: Efficient Neural Architecture Search with Local Intrinsic Dimension
arXiv 2022
Robust Weight Perturbation for Adversarial Training
robust-weight-perturbation-for-adversarial
EAGAN: Efficient Two-stage Evolutionary Architecture Search for GANs
arXiv 2021
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