activity
20142023
most citedDeep Domain Confusion: Maximizing for Domain Invariance

2.4k citations · 2.6k across the 11 of their papers we have counts for

collaborators
Showing 2023Show all

7 papers · 1 filter

cs.NI2023

Integrated Sensing and Communication enabled Multiple Base Stations Cooperative Sensing Towards 6G

Zhiqing Wei, Wangjun Jiang, Zhiyong Feng +5

Driven by the intelligent applications of sixth-generation (6G) mobile communication systems such as smart city and autonomous driving, which connect the physical and cyber space,…

eess.SP2023★ 93 cited

Adaptive Digital Twin for UAV-Assisted Integrated Sensing, Communication, and Computation Networks

Bin Li, Wenshuai Liu, Wancheng Xie +2

In this paper, we study a digital twin (DT)-empowered integrated sensing, communication, and computation network. Specifically, the users perform radar sensing and computation offl…

cs.PF2023

Spectrum Sharing Towards Delay Deterministic Wireless Network: Delay Performance Analysis

Zhiqing Wei, Ling Zhang, Gaofeng Nie +4

To accommodate Machine-type Communication (MTC) service, the wireless network needs to support low-delay and low-jitter data transmission, realizing delay deterministic wireless ne…

eess.SP2023★ 99 cited

Robust Computation Offloading and Trajectory Optimization for Multi-UAV-Assisted MEC: A Multi-Agent DRL Approach

Bin Li, Rongrong Yang, Lei Liu +3

For multiple Unmanned-Aerial-Vehicles (UAVs) assisted Mobile Edge Computing (MEC) networks, we study the problem of combined computation and communication for user equipments deplo…

cs.DC2023★ 1 cited

Split Federated Learning: Speed up Model Training in Resource-Limited Wireless Networks

Songge Zhang, Wen Wu, Penghui Hu +2

In this paper, we propose a novel distributed learning scheme, named group-based split federated learning (GSFL), to speed up artificial intelligence (AI) model training. Specifica…

cs.CV2023★ 4 cited

Learning and Verification of Task Structure in Instructional Videos

Medhini Narasimhan, Licheng Yu, Sean Bell +2

Given the enormous number of instructional videos available online, learning a diverse array of multi-step task models from videos is an appealing goal. We introduce a new pre-trai…

cs.IR2023★ 9 cited

Que2Engage: Embedding-based Retrieval for Relevant and Engaging Products at Facebook Marketplace

Yunzhong He, Yuxin Tian, Mengjiao Wang +7

Embedding-based Retrieval (EBR) in e-commerce search is a powerful search retrieval technique to address semantic matches between search queries and products. However, commercial s…