no code implementations • 13 Mar 2024 • Lei Gao, Yue Niu, Tingting Tang, Salman Avestimehr, Murali Annavaram
Evaluations show Ethos is more effective in removing undesired knowledge and maintaining the overall model performance compared to current task arithmetic methods.
no code implementations • 30 Apr 2023 • Lei Gao, Ling Guan
The proliferation of machine learning (ML) has drawn unprecedented interest in the study of various multimedia contents such as text, image, audio and video, among others.
no code implementations • 14 Apr 2023 • Tuo Zhang, Lei Gao, Sunwoo Lee, Mi Zhang, Salman Avestimehr
However, we show empirically that this method can lead to a substantial drop in training accuracy as well as a slower convergence rate.
no code implementations • 14 Feb 2023 • Sagarjit Aujla, Adel Mohamed, Ryan Tan, Randy Tan, Lei Gao, Naimul Khan, Karthikeyan Umapathy
Likewise, the proposed method achieved a maximum per-subject classification accuracy of 81. 53% with 43 DTCWT features and 3 clinical features using the balanced dataset and 64. 97% with 13 DTCWT features and 3 clinical features using the unbalanced dataset.
no code implementations • 26 Sep 2022 • Kai Liu, Lei Gao, Ling Guan
In this paper, a GPU-based accelerated algorithm is proposed to further optimize the DDCCANet algorithm.
no code implementations • 20 Mar 2022 • Haichao Zhang, Kuangrong Hao, Witold Pedrycz, Lei Gao, Xuesong Tang, Bing Wei
The high-performance backbone network searched by VTCAS introduces the desirable features of convolutional neural networks into the Transformer architecture while maintaining the benefits of the multi-head attention mechanism.
no code implementations • 15 Nov 2021 • Tuo Zhang, Lei Gao, Chaoyang He, Mi Zhang, Bhaskar Krishnamachari, Salman Avestimehr
In this paper, we will discuss the opportunities and challenges of FL in IoT platforms, as well as how it can enable diverse IoT applications.
no code implementations • 28 Oct 2021 • Lei Gao, Zheng Guo, Ling Guan
This work proposes an interpretable multi-view deep neural network architecture, namely optimal discriminant multi-view tensor convolutional network (ODMTCNet), by integrating statistical machine learning (SML) principles with the deep neural network (DNN) architecture.
no code implementations • 8 Sep 2021 • Bing Wei, Yudi Zhao, Kuangrong Hao, Lei Gao
Visual sensation and perception refers to the process of sensing, organizing, identifying, and interpreting visual information in environmental awareness and understanding.
1 code implementation • 15 Jun 2021 • Tuo Zhang, Chaoyang He, Tianhao Ma, Lei Gao, Mark Ma, Salman Avestimehr
In this paper, to further push forward this direction with a comprehensive study in both algorithm and system design, we build FedIoT platform that contains FedDetect algorithm for on-device anomaly data detection and a system design for realistic evaluation of federated learning on IoT devices.
no code implementations • AAAI 2021 • Lei Gao, Yulong Wang, Tongcun Liu, Jingyu Wang, Lei Zhang, Jianxin Liao
Specifically, we divide the AOPE task into aspect term extraction (ATE) and aspect-specified opinion extraction (ASOE) subtasks; we first extract all the candidate aspect terms and then the corresponding opinion words given the aspect term.
Aspect-Based Sentiment Analysis Aspect-Based Sentiment Analysis (ABSA) +3
no code implementations • 23 Mar 2021 • Haichao Zhang, Kuangrong Hao, Lei Gao, Xuesong Tang, Bing Wei
At the stage of block-level search, a relaxation method based on the gradient is proposed, using an enhanced gradient to design high-performance and low-complexity blocks.
no code implementations • 9 Mar 2021 • Lei Gao, Ling Guan
Due to the rapid advancements of sensory and computing technology, multi-modal data sources that represent the same pattern or phenomenon have attracted growing attention.
no code implementations • 28 Feb 2021 • Lei Gao, Rui Zhang, Lin Qi, Enqing Chen, Ling Guan
The objective of multimodal information fusion is to mathematically analyze information carried in different sources and create a new representation which will be more effectively utilized in pattern recognition and other multimedia information processing tasks.
no code implementations • 28 Feb 2021 • Lei Gao, Ling Guan
This letter shows that the introduction of the complete discriminatory tensor representation strategy provides an effective vehicle for revealing, and extracting the discriminant representations across the 2D data sets, leading to improved results.
no code implementations • 28 Feb 2021 • Lei Gao, Lin Qi, Enqing Chen, Ling Guan
In this paper, we propose the Discriminative Multiple Canonical Correlation Analysis (DMCCA) for multimodal information analysis and fusion.
no code implementations • 28 Feb 2021 • Lei Gao, Lin Qi, Ling Guan
The Fractional Fourier Transform (FRFT) has been playing a unique and increasingly important role in signal and image processing.
no code implementations • 27 Feb 2021 • Lei Gao, Lin Qi, Ling Guan
In this paper, we propose a novel discriminative model for online behavioral analysis with application to emotion state identification.
no code implementations • 31 Jan 2021 • Bing Wei, Kuangrong Hao, Lei Gao
For the sake of recognizing and classifying textile defects, deep learning-based methods have been proposed and achieved remarkable success in single-label textile images.
no code implementations • 21 Dec 2020 • Haichao Zhang, Kuangrong Hao, Lei Gao, Bing Wei, Xuesong Tang
Deep neural networks (DNNs) have achieved remarkable success in computer vision; however, training DNNs for satisfactory performance remains challenging and suffers from sensitivity to empirical selections of an optimization algorithm for training.
no code implementations • 20 Dec 2020 • Jian Liu, Lei Gao, Sujie Guo, Rui Ding, Xin Huang, Long Ye, Qinghua Meng, Asef Nazari, Dhananjay Thiruvady
In this approach, the MHATT mechanism aims to improve the recognition accuracy of abbreviations to efficiently deal with the problem of inconsistency in full-text labels.
no code implementations • 8 Dec 2020 • Enayat A. Moallemi, Sibel Eker, Lei Gao, Michalis Hadjikakou, Qi Liu, Jan Kwakkel, Patrick M. Reed, Michael Obersteiner, Zhaoxia Guo, Brett A. Bryan
Progress to-date towards the Sustainable Development Goals (SDGs) has fallen short of expectations and is unlikely to fully meet 2030 targets.
1 code implementation • 20 Sep 2020 • Mingxiang Chen, Qichang Chen, Lei Gao, Yilin Chen, Zhecheng Wang
This paper presents a novel framework using neural cellular automata (NCA) to regenerate and predict geographic information.
1 code implementation • 19 May 2020 • Mingxiang Chen, Lei Gao, Qichang Chen, Zhixin Liu
LNS consists of a destroy operator and a repair operator that specify a way to carry out the neighborhood search to solve the Combinatorial Optimization problems.
2 code implementations • 20 Feb 2020 • Lei Gao, Mingxiang Chen, Qichang Chen, Ganzhong Luo, Nuoyi Zhu, Zhixin Liu
This paper presents an approach to learn the local-search heuristics that iteratively improves the solution of Vehicle Routing Problem (VRP).
no code implementations • 4 Nov 2019 • Yixing Huang, Lei Gao, Alexander Preuhs, Andreas Maier
In computed tomography (CT), data truncation is a common problem.
no code implementations • 4 Nov 2019 • Lei Gao, Yixing Huang, Andreas Maier
Background candidate images are obtained from input raw images with the masks.
no code implementations • NAACL 2019 • Lei Gao, Prafulla Kumar Choubey, Ruihong Huang
We aim to comprehensively identify all the event causal relations in a document, both within a sentence and across sentences, which is important for reconstructing pivotal event structures.
2 code implementations • RANLP 2017 • Lei Gao, Ruihong Huang
In the wake of a polarizing election, the cyber world is laden with hate speech.
no code implementations • IJCNLP 2017 • Lei Gao, Alexis Kuppersmith, Ruihong Huang
In the wake of a polarizing election, social media is laden with hateful content.