activity
20182024
most citedVideoCoCa: Video-Text Modeling with Zero-Shot Transfer from Contrastive Captioners

20 citations · 29 across the 8 of their papers we have counts for

collaborators

8 papers

cs.CL2024★ 1 cited

SVD-LLM: Truncation-aware Singular Value Decomposition for Large Language Model Compression

Xin Wang, Yu Zheng, Zhongwei Wan +1

The advancements in Large Language Models (LLMs) have been hindered by their substantial sizes, which necessitates LLM compression methods for practical deployment. Singular Value…

cs.NI2023★ 1 cited

NELoRa-Bench: A Benchmark for Neural-enhanced LoRa Demodulation

Jialuo Du, Yidong Ren, Mi Zhang +2

Low-Power Wide-Area Networks (LPWANs) are an emerging Internet-of-Things (IoT) paradigm marked by low-power and long-distance communication. Among them, LoRa is widely deployed for…

cs.CV2023

AutoTaskFormer: Searching Vision Transformers for Multi-task Learning

Yang Liu, Shen Yan, Yuge Zhang +5

Vision Transformers have shown great performance in single tasks such as classification and segmentation. However, real-world problems are not isolated, which calls for vision tran…

cs.CV2022★ 20 cited

VideoCoCa: Video-Text Modeling with Zero-Shot Transfer from Contrastive Captioners

Shen Yan, Tao Zhu, Zirui Wang +5

We explore an efficient approach to establish a foundational video-text model. We present VideoCoCa that maximally reuses a pretrained image-text contrastive captioner (CoCa) model…

cs.HC2022

WiVelo: Fine-grained Walking Velocity Estimation for Wi-Fi Passive Tracking

Chenning Li, Li Liu, Zhichao Cao +1

Passive human tracking via Wi-Fi has been researched broadly in the past decade. Besides straight-forward anchor point localization, velocity is another vital sign adopted by the e…

cs.CV2022★ 1 cited

Deep AutoAugment

Yu Zheng, Zhi Zhang, Shen Yan +1

While recent automated data augmentation methods lead to state-of-the-art results, their design spaces and the derived data augmentation strategies still incorporate strong human p…

cs.LG2019★ 6 cited

HM-NAS: Efficient Neural Architecture Search via Hierarchical Masking

Shen Yan, Biyi Fang, Faen Zhang +4

The use of automatic methods, often referred to as Neural Architecture Search (NAS), in designing neural network architectures has recently drawn considerable attention. In this wo…

cs.CR2018

The Untold Secrets of Operational Wi-Fi Calling Services: Vulnerabilities, Attacks, and Countermeasures

Tian Xie, Guan-Hua Tu, Bangjie Yin +5

Since 2016, all of four major U.S. operators have rolled out nationwide Wi-Fi calling services. They are projected to surpass VoLTE (Voice over LTE) and other VoIP services in term…