activity
20162023
most citedSqueeze-and-Excitation Networks

2.2k citations · 3.3k across the 14 of their papers we have counts for

collaborators

14 papers

cs.CV2023★ 31 cited

LGViT: Dynamic Early Exiting for Accelerating Vision Transformer

Guanyu Xu, Jiawei Hao, Li Shen +4

Recently, the efficient deployment and acceleration of powerful vision transformers (ViTs) on resource-limited edge devices for providing multimedia services have become attractive…

cs.CR2023

Boosting Backdoor Attack with A Learnable Poisoning Sample Selection Strategy

Zihao Zhu, Mingda Zhang, Shaokui Wei +3

Data-poisoning based backdoor attacks aim to insert backdoor into models by manipulating training datasets without controlling the training process of the target model. Existing at…

cs.AI2023

Enhancing Fine-Tuning Based Backdoor Defense with Sharpness-Aware Minimization

Mingli Zhu, Shaokui Wei, Li Shen +2

Backdoor defense, which aims to detect or mitigate the effect of malicious triggers introduced by attackers, is becoming increasingly critical for machine learning security and int…

cs.CV2022★ 26 cited

Streaming Radiance Fields for 3D Video Synthesis

Lingzhi Li, Zhen Shen, Zhongshu Wang +2

We present an explicit-grid based method for efficiently reconstructing streaming radiance fields for novel view synthesis of real world dynamic scenes. Instead of training a singl…

cs.CV2022

Depth-Aware Generative Adversarial Network for Talking Head Video Generation

Fa-Ting Hong, Longhao Zhang, Li Shen +1

Talking head video generation aims to produce a synthetic human face video that contains the identity and pose information respectively from a given source image and a driving vide…

cs.LG2021★ 1 cited

Learning Meta Representations for Agents in Multi-Agent Reinforcement Learning

Shenao Zhang, Li Shen, Lei Han

In multi-agent reinforcement learning, the behaviors that agents learn in a single Markov Game (MG) are typically confined to the given agent number. Every single MG induced by var…