1 code implementation • 14 Mar 2023 • Kaiqi Zhao, Animesh Jain, Ming Zhao
Then, it proposes adaptive pruning policies for automatically meeting the pruning objectives of accuracy-critical, memory-constrained, and latency-sensitive tasks.
1 code implementation • 14 Mar 2023 • Kaiqi Zhao, Yitao Chen, Ming Zhao
Knowledge Transfer (KT) achieves competitive performance and is widely used for image classification tasks in model compression and transfer learning.
no code implementations • 5 Dec 2022 • Fengxiao Tang, Yilin Yang, Xin Yao, Ming Zhao, Nei Kato
To further expand the resource pool of traffic offloading in SAGIN, we extend the single-layer satellite network into a double-layer satellite network composed of low-orbit satellites (LEO) and high-orbit satellites (GEO).
no code implementations • 8 Sep 2022 • FNU Abhimanyu, Tejas Zodage, Umesh Thillaivasan, Xinyue Lai, Rahul Chakwate, Javier Santillan, Emma Oti, Ming Zhao, Ralph Boirum, Howie Choset, Matthew Travers
Conventional recycling processes rely on shredding and sorting waste streams, but for WEEE, which is comprised of numerous dissimilar materials, we explore targeted disassembly of numerous objects for improved material recovery.
1 code implementation • 27 May 2022 • Guohang Yan, Liu Zhuochun, Chengjie Wang, Chunlei Shi, Pengjin Wei, Xinyu Cai, Tao Ma, Zhizheng Liu, Zebin Zhong, Yuqian Liu, Ming Zhao, Zheng Ma, Yikang Li
To this end, we present OpenCalib, a calibration toolbox that contains a rich set of various sensor calibration methods.
no code implementations • 12 Apr 2022 • Lei Fang, Junren Li, Ming Zhao, Li Tan, Jian-Guang Lou
In this paper, we propose a substructure-level decoding model, where the substructures are reaction-aware and can be automatically extracted with a fully data-driven approach.
no code implementations • 2 Apr 2022 • Ming Zhao, Bowen An, Yongpeng Wu, Huynh Van Luong, André Kaup
In this paper, a robust feature point matching algorithm called Recovery and Filtering Vertex Trichotomy Matching (RFVTM) is proposed to remove outliers and retain sufficient inliers for remote sensing images.
no code implementations • 2 Apr 2022 • Ming Zhao, Yongpeng Wu, Shengda Pan, Fan Zhou, Bowen An, André Kaup
This new approach is designed to address the problems associated with the registration of images with affine deformations and inconsistent content, such as remote sensing images with different spectral content or noise interference, or map images with inconsistent annotations.
no code implementations • Findings (ACL) 2022 • Zaijing Li, Fengxiao Tang, Ming Zhao, Yusen Zhu
Emotion recognition in conversation (ERC) aims to analyze the speaker's state and identify their emotion in the conversation.
Ranked #1 on Emotion Recognition in Conversation on IEMOCAP
1 code implementation • CVPR 2022 • Zhigang Jiang, Zhongzheng Xiang, Jinhua Xu, Ming Zhao
We present that using horizon-depth along with room height can obtain omnidirectional-geometry awareness of room layout in both horizontal and vertical directions.
no code implementations • 22 Jan 2022 • Kaiqi Zhao, Yitao Chen, Ming Zhao
The results show that 1) our model compression method can remove up to 99. 36% parameters of WRN-28-10, while preserving a Top-1 accuracy of over 90% on CIFAR-10; 2) our knowledge transfer method enables the compressed models to achieve more than 90% accuracy on CIFAR-10 and retain good accuracy on old categories; 3) it allows the compressed models to converge within real time (three to six minutes) on the edge for incremental learning tasks; 4) it enables the model to classify unseen categories of data (78. 92% Top-1 accuracy) that it is never trained with.
no code implementations • 22 Jan 2022 • Kaiqi Zhao, Animesh Jain, Ming Zhao
To solve this problem, we propose two activation-based pruning methods, Iterative Activation-based Pruning (IAP) and Adaptive Iterative Activation-based Pruning (AIAP).
1 code implementation • 21 Jan 2022 • Kaiqi Zhao, Animesh Jain, Ming Zhao
Pruning is a promising approach to compress complex deep learning models in order to deploy them on resource-constrained edge devices.
no code implementations • 22 Oct 2021 • Yujie Lu, Ping Nie, Shengyu Zhang, Ming Zhao, Ruobing Xie, William Yang Wang, Yi Ren
However, existing work are primarily built upon pre-defined retrieval channels, including User-CF (U2U), Item-CF (I2I), and Embedding-based Retrieval (U2I), thus access to the limited correlation between users and items which solely entail from partial information of latent interactions.
no code implementations • 11 Jul 2021 • Ming Zhao, Fengqiang Li, Fengyue Huo, Zhiming Tian
Single pixel imaging can reconstruct two-dimensional images of a scene with only a single-pixel detector.
no code implementations • 16 Jun 2021 • Zaijing Li, Fengxiao Tang, Tieyu Sun, Yusen Zhu, Ming Zhao
For the task of conversation emotion recognition, recent works focus on speaker relationship modeling but ignore the role of utterance's emotional tendency. In this paper, we propose a new expression paradigm of sentence-level emotion orientation vector to model the potential correlation of emotions between sentence vectors.
no code implementations • EACL 2021 • Ming Zhao, Peter Anderson, Vihan Jain, Su Wang, Alexander Ku, Jason Baldridge, Eugene Ie
Vision-and-Language Navigation wayfinding agents can be enhanced by exploiting automatically generated navigation instructions.
no code implementations • 21 Dec 2020 • Daofeng Li, Kaihe Deng, Ming Zhao, Sihai Zhang, Jinkang Zhu
The power of big data and machine learning has been drastically demonstrated in many fields during the past twenty years which somehow leads to the vague even false understanding that the huge amount of precious human knowledge accumulated to date no longer seems to matter.
no code implementations • 18 Nov 2020 • BoWen Zhang, Hexiang Hu, Joonseok Lee, Ming Zhao, Sheide Chammas, Vihan Jain, Eugene Ie, Fei Sha
Identifying a short segment in a long video that semantically matches a text query is a challenging task that has important application potentials in language-based video search, browsing, and navigation.
no code implementations • 25 Jun 2020 • Junyu Zhang, Chen Gong, Shangbin Li, Rui Ni, Chengjie Zuo, Jinkang Zhu, Ming Zhao, Zhengyuan Xu
Future wireless communication system embraces physical-layer signal detection with high sensitivity, especially in the microwave photon level.
no code implementations • 25 Jun 2020 • Junyu Zhang, Chen Gong, Shangbin Li, Shanchi Wu, Rui Ni, Chengjie Zuo, Jinkang Zhu, Ming Zhao, Zhengyuan Xu
Based on the state transition principles of the three-level system, we propose a statistical model for microwave signal detection.
no code implementations • 29 Mar 2020 • Shanchi Wu, Chen Gong, Chengjie Zuo, Shangbin Li, Junyu Zhang, Zhongbin Dai, Kai Yang, Ming Zhao, Rui Ni, Zhengyuan Xu, Jinkang Zhu
We propose a novel radio-frequency (RF) receiving architecture based on micro-electro-mechanical system (MEMS) and optical coherent detection module.
1 code implementation • 28 Mar 2020 • Zhikun Chen, Daofeng Li, Ming Zhao, Sihai Zhang, Jinkang Zhu
Federated learning (FL) enables massive distributed Information and Communication Technology (ICT) devices to learn a global consensus model without any participants revealing their own data to the central server.
4 code implementations • RecSys 2020 • Hongyan Tang, Junning Liu, Ming Zhao, Xudong Gong
Moreover, through extensive experiments across SOTA MTL models, we have observed an interesting seesaw phenomenon that performance of one task is often improved by hurting the performance of some other tasks.
no code implementations • 13 Feb 2020 • Jinyang Jiao, Ming Zhao, Jing Lin, Kaixuan Liang
To fill in this gap, this work attempts to review and summarize the development of the Convolutional Network based Fault Diagnosis (CNFD) approaches comprehensively.
1 code implementation • 19 Jan 2018 • Lisa Dang, Nicolas B. Cowan, Joel C. Schwartz, Emily Rauscher, Michael Zhang, Heather A. Knutson, Michael Line, Ian Dobbs-Dixon, Drake Deming, Sudarsan Sundararajan, Jonathan J. Fortney, Ming Zhao
The peculiar infrared flux map of CoRoT-2b may result from westward winds due to non-synchronous rotation magnetic effects, or partial cloud coverage, that obscures the emergent flux from the planet's eastern hemisphere.
Earth and Planetary Astrophysics