PaperHub

Yonggang Zhang

~Yonggang_Zhang1

36
论文总数
18.0
年均投稿
5.7
平均评分
接收情况18/36
会议分布
ICLR
27
NeurIPS
8
ICML
1

发表论文 (36 篇)

202518 篇

6.8
4

Detecting Generated Images by Fitting Natural Image Distributions

NeurIPS 2025Spotlight
4.0
3

Consistency Verification for Detecting AI-Generated Images

ICLR 2025Rejected
5.8
4

Intention Model: A Novel Explanation for In-context Learning

ICLR 2025Rejected
6.8
4

Epistemic Uncertainty for Generated Image Detection

NeurIPS 2025Poster
6.4
5

FedGPS: Statistical Rectification Against Data Heterogeneity in Federated Learning

NeurIPS 2025Poster
3.0
4

Safeguarding System Prompts: A Surrogate-Based Defense Against Injection Attacks

ICLR 2025withdrawn
5.5
4

Enhancing Target-unspecific Tasks through a Features Matrix

ICML 2025Poster
5.7
3

Overfitting: An Unexpected Asset in AI‐Generated Image Detection

ICLR 2025Rejected
4.5
4

Strengthening Federated Learning: Surrogate Data-Guided Aggregation for Robust Backdoor Defense

ICLR 2025Rejected
5.0
4

Detecting Discrepancies Between Generated and Natural Images Using Uncertainty

ICLR 2025Rejected
5.0
4

Prompt Reverse Learning: Enhancing Visual Language Models for Rare Image Recognition

ICLR 2025withdrawn
6.8
4

Towards Generalizable Detector for Generated Image

NeurIPS 2025Poster
-

Unveiling the Flow of Input-label Mappings for In-context Learning

ICLR 2025withdrawn
8.0
3

MOS: Model Synergy for Test-Time Adaptation on LiDAR-Based 3D Object Detection

ICLR 2025Oral
5.0
4

Deciphering and Enhancing Commonsense Reasoning in LLMs from the Perspective of Intrinsic Factual Knowledge Retrieval

ICLR 2025Rejected
6.0
4

Hot-pluggable Federated Learning: Bridging General and Personalized FL via Dynamic Selection

ICLR 2025Poster
6.0
4

Leveraging Submodule Linearity Enhances Task Arithmetic Performance in LLMs

ICLR 2025Poster
6.8
4

Unlocker: Disentangle the Deadlock of Learning between Label-noisy and Long-tailed Data

NeurIPS 2025Poster

202418 篇

6.0
4

Robust Training of Federated Models with Extremely Label Deficiency

ICLR 2024Poster
5.8
4

Learning to Shape In-distribution Feature Space for Out-of-distribution Detection

NeurIPS 2024Poster
8.0
3

NoiseDiffusion: Correcting Noise for Image Interpolation with Diffusion Models beyond Spherical Linear Interpolation

ICLR 2024Spotlight
5.3
4

Enhancing One-Shot Federated Learning Through Data and Ensemble Co-Boosting

ICLR 2024Poster
5.0
3

Mitigating Backdoor Attacks in Federated Learning through Noise-Guided Aggregation

ICLR 2024Rejected
6.3
4

FuseFL: One-Shot Federated Learning through the Lens of Causality with Progressive Model Fusion

NeurIPS 2024Spotlight
6.3
4

Out-of-Distribution Detection with Negative Prompts

ICLR 2024Poster
3.8
5

Enhancing Graph Injection Attacks Through Over-Smoothing Amplification

ICLR 2024Rejected
5.8
4

Out-Of-Distribution Detection With Smooth Training

ICLR 2024Rejected
7.0
4

FedImpro: Measuring and Improving Client Update in Federated Learning

ICLR 2024Poster
3.3
4

Domain Prompt Matters a Lot in Multi-Source Few-Shot Domain Adaptation

ICLR 2024Rejected
5.3
4

Interpreting the Inner Mechanisms of Large Language Models in Mathematical Addition

ICLR 2024Rejected
6.0
3

Offline Reward Inference on Graph: A New Thinking

ICLR 2024Rejected
6.3
4

ConjNorm: Tractable Density Estimation for Out-of-Distribution Detection

ICLR 2024Poster
4.3
4

Prompt Tuning Is All We Need?

ICLR 2024Rejected
6.3
4

How Large Language Models Implement Chain-of-Thought?

ICLR 2024Rejected
5.7
3

Enhancing Multiple Dimensions of Trustworthiness in LLMs via Sparse Activation Control

NeurIPS 2024Poster
4.8
5

All for One and One for All: A Collaborative FL Framework for Generic Federated Learning with Personalized Plug-ins

ICLR 2024Rejected
合作者 (20)