Bo Han
~Bo_Han1
86
论文总数
43.0
年均投稿
平均评分
接收情况53/86
会议分布
ICLR
56
NeurIPS
21
ICML
9
发表论文 (86 篇)
202548 篇
4
Decoupling the Class Label and the Target Concept in Machine Unlearning
ICLR 2025Rejected
4
Generative Model Inversion Through the Lens of the Manifold Hypothesis
NeurIPS 2025Poster
4
Understanding and Enhancing the Transferability of Jailbreaking Attacks
ICLR 2025Poster
4
Towards Effective Evaluations and Comparisons for LLM Unlearning Methods
ICLR 2025Poster
5
Single-Step Diffusion Model-Based Generative Model Inversion Attacks
ICLR 2025Rejected
4
Advancing Machine-Generated Text Detection from an Easy to Hard Supervision Perspective
NeurIPS 2025Poster
4
A Lens into Interpretable Transformer Mistakes via Semantic Dependency
ICML 2025Poster
5
Towards Out-of-Modal Generalization without Instance-level Modal Correspondence
ICLR 2025Poster
4
Enhancing Sample Selection Against Label Noise by Cutting Mislabeled Easy Examples
NeurIPS 2025Poster
5
Understanding Mistakes in Transformers through Token-level Semantic Dependencies
ICLR 2025Rejected
3
A Robust Method to Discover Causal or Anticausal Relation
ICLR 2025Poster
3
Instance-dependent Early Stopping
ICLR 2025Spotlight
5
Rectifying Gradient-based OOD Detection via Fisher Information Matrix
ICLR 2025withdrawn
3
When Data-Free Knowledge Distillation Meets Non-Transferable Teacher: Escaping Out-of-Distribution Trap is All You Need
ICML 2025Poster
3
Atomas: Hierarchical Adaptive Alignment on Molecule-Text for Unified Molecule Understanding and Generation
ICLR 2025Poster
4
Strengthening Federated Learning: Surrogate Data-Guided Aggregation for Robust Backdoor Defense
ICLR 2025Rejected
5
FedGPS: Statistical Rectification Against Data Heterogeneity in Federated Learning
NeurIPS 2025Poster
4
Towards Efficient and Scalable Multi-agent Reasoning via Bayesian Nash Equilibrium
ICLR 2025Rejected
4
On the Language of Thoughts in Large Language Models
ICLR 2025Rejected
4
Adaptive Localization of Knowledge Negation for Continual LLM Unlearning
ICML 2025Poster
3
Overfitting: An Unexpected Asset in AI‐Generated Image Detection
ICLR 2025Rejected
4
Practical Kernel Learning for Kernel-based Conditional Independent Test
ICLR 2025Rejected
6
Rethinking LLM Unlearning Objectives: A Gradient Perspective and Go Beyond
ICLR 2025Poster
4
Epistemic Uncertainty for Generated Image Detection
NeurIPS 2025Poster
4
Detecting Discrepancies Between Generated and Natural Images Using Uncertainty
ICLR 2025Rejected
5
Noise Prompt Learning: Learning the Winning Tickets for Diffusion Sampling
ICLR 2025withdrawn
4
Practical Kernel Selection for Kernel-based Conditional Independence Test
NeurIPS 2025Poster
4
Detecting Generated Images by Fitting Natural Image Distributions
NeurIPS 2025Spotlight
5
Can Large Language Models Help Experimental Design for Causal Discovery?
ICLR 2025Rejected
3
Exploring Criteria of Loss Reweighting to Enhance LLM Unlearning
ICML 2025Poster
4
From Debate to Equilibrium: Belief‑Driven Multi‑Agent LLM Reasoning via Bayesian Nash Equilibrium
ICML 2025Poster
3
Consistency Verification for Detecting AI-Generated Images
ICLR 2025Rejected
3
From Passive to Active Reasoning: Can Large Language Models Ask the Right Questions under Incomplete Information?
ICML 2025Poster
3
Breaking the Detection-Generalization Paradox on Out-Of-Distribution Data
ICLR 2025Rejected
4
Fast and Accurate Blind Flexible Docking
ICLR 2025Poster
4
Exploring the Discriminative Capability of LLMs in In-context Learning
ICLR 2025Rejected
4
Nested Gloss Makes Large Language Models Lost
ICLR 2025withdrawn
3
Do We Really Need Parameter-Isolation to Protect Task Knowledge?
ICLR 2025Rejected
4
Hot-pluggable Federated Learning: Bridging General and Personalized FL via Dynamic Selection
ICLR 2025Poster
4
One-step Image-function Generation via Consistency Training
ICLR 2025withdrawn
3
Noisy Test-Time Adaptation in Vision-Language Models
ICLR 2025Poster
4
Unlocker: Disentangle the Deadlock of Learning between Label-noisy and Long-tailed Data
NeurIPS 2025Poster
4
Learning to Instruct for Visual Instruction Tuning
NeurIPS 2025Poster
4
Safeguarding System Prompts: A Surrogate-Based Defense Against Injection Attacks
ICLR 2025withdrawn
4
Physics-Driven Spatiotemporal Modeling for AI-Generated Video Detection
NeurIPS 2025Spotlight
4
Learning without Isolation: Pathway Protection for Continual Learning
ICML 2025Poster
4
GRU: Mitigating the Trade-off between Unlearning and Retention for LLMs
ICML 2025Poster
4
COSDA: Counterfactual-based Susceptibility Risk Framework for Open-Set Domain Adaptation
ICML 2025Poster
202438 篇
4
Pseudo-Private Data Guided Model Inversion Attacks
NeurIPS 2024Poster
5
Enhancing Contrastive Learning for Ordinal Regression via Ordinal Content Preserved Data Augmentation
ICLR 2024Poster
4
Interpretable and Generalizable Graph Neural Networks via Subgraph Multilinear Extension
ICLR 2024Rejected
4
On the Over-Memorization During Natural, Robust and Catastrophic Overfitting
ICLR 2024Poster
5
Enhancing Graph Injection Attacks Through Over-Smoothing Amplification
ICLR 2024Rejected
3
Revive Re-weighting in Imbalanced Learning by Density Ratio Estimation
NeurIPS 2024Poster
5
Self-Calibrated Tuning of Vision-Language Models for Out-of-Distribution Detection
NeurIPS 2024Poster
4
Few-Shot Adversarial Prompt Learning on Vision-Language Models
NeurIPS 2024Poster
5
On the Onset of Robust Overfitting in Adversarial Training
ICLR 2024Rejected
4
AlignCLIP: Enhancing Stable Representations in Vision-Language Pretraining Models through Attention and Prediction Alignment
ICLR 2024Rejected
3
Mitigating Backdoor Attacks in Federated Learning through Noise-Guided Aggregation
ICLR 2024Rejected
5
Accurate Forgetting for Heterogeneous Federated Continual Learning
ICLR 2024Poster
4
A Sober Look at the Robustness of CLIPs to Spurious Features
NeurIPS 2024Poster
4
Detecting Machine-Generated Texts by Multi-Population Aware Optimization for Maximum Mean Discrepancy
ICLR 2024Poster
3
Less is More: One-shot Subgraph Reasoning on Large-scale Knowledge Graphs
ICLR 2024Poster
4
Out-of-Distribution Detection with Negative Prompts
ICLR 2024Poster
4
Unleashing the Potential of Regularization Strategies in Learning with Noisy Labels
ICLR 2024Rejected
4
Cross-domain Few-shot Classification via Maximization Optimized Kernel Dependence
ICLR 2024Rejected
4
Discovery of the Hidden World with Large Language Models
NeurIPS 2024Poster
3
Neural Atoms: Propagating Long-range Interaction in Molecular Graphs through Efficient Communication Channel
ICLR 2024Poster
4
What If the Input is Expanded in OOD Detection?
NeurIPS 2024Poster
3
Mind the Gap Between Prototypes and Images in Cross-domain Finetuning
NeurIPS 2024Poster
4
Can Language Models Perform Robust Reasoning in Chain-of-thought Prompting with Noisy Rationales?
NeurIPS 2024Poster
4
FuseFL: One-Shot Federated Learning through the Lens of Causality with Progressive Model Fusion
NeurIPS 2024Spotlight
4
Sparse Labels Node Classification: Unsupervised Learning for Mentoring Supervised Learning in Sparse Label Settings
ICLR 2024Rejected
4
DOG: Diffusion-based Outlier Generation for Out-of-Distribution Detection
ICLR 2024Rejected
3
NoiseDiffusion: Correcting Noise for Image Interpolation with Diffusion Models beyond Spherical Linear Interpolation
ICLR 2024Spotlight
4
Enhancing One-Shot Federated Learning Through Data and Ensemble Co-Boosting
ICLR 2024Poster
4
Robust Training of Federated Models with Extremely Label Deficiency
ICLR 2024Poster
4
FedImpro: Measuring and Improving Client Update in Federated Learning
ICLR 2024Poster
3
Enhancing Neural Subset Selection: Integrating Background Information into Set Representations
ICLR 2024Poster
4
Mitigating Label Noise on Graphs via Topological Curriculum Learning
ICLR 2024Rejected
4
DOS: Dreaming Outlier Semantics for Out-of-distribution Detection
ICLR 2024Rejected
5
All for One and One for All: A Collaborative FL Framework for Generic Federated Learning with Personalized Plug-ins
ICLR 2024Rejected
4
Negative Label Guided OOD Detection with Pretrained Vision-Language Models
ICLR 2024Spotlight
4
Feature Map Matters in Out-of-distribution Detection
ICLR 2024Rejected
3
Cross-domain Few-shot Classification via Invariant-content Feature Reconstruction
ICLR 2024Rejected
4
Unveiling Causal Reasoning in Large Language Models: Reality or Mirage?
NeurIPS 2024Poster