activity
20232026
most citedGeneralized Semantic Contrastive Learning via Embedding Side Information for Few-Shot Object Detection

9 citations · 12 across the 4 of their papers we have counts for

collaborators

7 papers

stat.ML2026

Robust Estimation of Sparse Numerical Vectors under Local Differential Privacy

Puning Zhao, Zhikun Zhang, Shaowei Wang +5

Local differential privacy (LDP) protocols are vulnerable to poisoning attacks. Existing research have proposed efficient defense strategies for single-item users. However, in prac…

cs.CV20259 cited

Generalized Semantic Contrastive Learning via Embedding Side Information for Few-Shot Object Detection

Ruoyu Chen, Hua Zhang, Jingzhi Li +3

The objective of few-shot object detection (FSOD) is to detect novel objects with few training samples. The core challenge of this task is how to construct a generalized feature sp…

cs.AI2024

Dynamic Analysis and Adaptive Discriminator for Fake News Detection

Xinqi Su, Zitong Yu, Yawen Cui +7

In current web environment, fake news spreads rapidly across online social networks, posing serious threats to society. Existing multimodal fake news detection methods can generall…

cs.CV2024

GVformer: Graph Guided Video Vision Transformer for Face Anti-Spoofing

Jingyi Yang, Zitong Yu, Xiuming Ni +2

In videos containing spoofed faces, we may uncover the spoofing evidence based on either photometric or dynamic abnormality, even a combination of both. Prevailing face anti-spoofi…

cs.CV20241 cited

Hierarchical Invariance for Robust and Interpretable Vision Tasks at Larger Scales

Shuren Qi, Yushu Zhang, Chao Wang +3

Developing robust and interpretable vision systems is a crucial step towards trustworthy artificial intelligence. In this regard, a promising paradigm considers embedding task-requ…

cs.LG20232 cited

Asymmetrically Decentralized Federated Learning

Qinglun Li, Miao Zhang, Nan Yin +2

To address the communication burden and privacy concerns associated with the centralized server in Federated Learning (FL), Decentralized Federated Learning (DFL) has emerged, whic…