Sheng Li
21
Papers
33
Total Citations
Papers (21)
Task-Driven Causal Feature Distillation: Towards Trustworthy Risk Prediction
AAAI 2024arXiv
13
citations
Benign Samples Matter! Fine-tuning On Outlier Benign Samples Severely Breaks Safety
ICML 2025arXiv
11
citations
Revisiting Source-Free Domain Adaptation: Insights into Representativeness, Generalization, and Variety
CVPR 2025
5
citations
Watermarking One for All: A Robust Watermarking Scheme Against Partial Image Theft
CVPR 2025
2
citations
Bridging Knowledge Gap Between Image Inpainting and Large-Area Visible Watermark Removal
AAAI 2025arXiv
1
citations
The Photographer's Eye: Teaching Multimodal Large Language Models to See, and Critique Like Photographers
CVPR 2025
1
citations
Unified Dense Prediction of Video Diffusion
CVPR 2025
0
citations
Subspace Constraint and Contribution Estimation for Heterogeneous Federated Learning
CVPR 2025
0
citations
MoFRR: Mixture of Diffusion Models for Face Retouching Restoration
ICCV 2025arXiv
0
citations
Embedding Robust Watermarking into Pattern to Protect the Copyright of Ceramic Artifacts
AAAI 2025
0
citations
Physical Marker: Revealing Invisible Hyperlinks Hidden in Printed Trademarks
AAAI 2025
0
citations
Frozen CLIP Transformer Is an Efficient Point Cloud Encoder
AAAI 2024arXiv
0
citations
Open-Set Graph Domain Adaptation via Separate Domain Alignment
AAAI 2024
0
citations
LLMRG: Improving Recommendations through Large Language Model Reasoning Graphs
AAAI 2024
0
citations
Purified and Unified Steganographic Network
CVPR 2024arXiv
0
citations
Learning from Students: Applying t-Distributions to Explore Accurate and Efficient Formats for LLMs
ICML 2024arXiv
0
citations
Searching for Fast Model Families on Datacenter Accelerators
CVPR 2021arXiv
0
citations
Frame Flexible Network
CVPR 2023arXiv
0
citations
TripLe: Revisiting Pretrained Model Reuse and Progressive Learning for Efficient Vision Transformer Scaling and Searching
ICCV 2023
0
citations
DRAW: Defending Camera-shooted RAW Against Image Manipulation
ICCV 2023arXiv
0
citations
Layer Freezing & Data Sieving: Missing Pieces of a Generic Framework for Sparse Training
NeurIPS 2022arXiv
0
citations