2.4k citations · 2.6k across the 11 of their papers we have counts for
11 papers
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,…
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…
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…
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…
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…
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…
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…
Tell Me What Happened: Unifying Text-guided Video Completion via Multimodal Masked Video Generation
Tsu-Jui Fu, Licheng Yu, Ning Zhang +4
Generating a video given the first several static frames is challenging as it anticipates reasonable future frames with temporal coherence. Besides video prediction, the ability to…
LoopITR: Combining Dual and Cross Encoder Architectures for Image-Text Retrieval
Jie Lei, Xinlei Chen, Ning Zhang +4
Dual encoders and cross encoders have been widely used for image-text retrieval. Between the two, the dual encoder encodes the image and text independently followed by a dot produc…
CommerceMM: Large-Scale Commerce MultiModal Representation Learning with Omni Retrieval
Licheng Yu, Jun Chen, Animesh Sinha +4
We introduce CommerceMM - a multimodal model capable of providing a diverse and granular understanding of commerce topics associated to the given piece of content (image, text, ima…
Deep Domain Confusion: Maximizing for Domain Invariance
Eric Tzeng, Judy Hoffman, Ning Zhang +2
Recent reports suggest that a generic supervised deep CNN model trained on a large-scale dataset reduces, but does not remove, dataset bias on a standard benchmark. Fine-tuning dee…