no code implementations • EMNLP (WNUT) 2020 • Chacha Chen, Chieh-Yang Huang, Yaqi Hou, Yang Shi, Enyan Dai, Jiaqi Wang
The competition of extracting COVID-19 events from Twitter is to develop systems that can automatically extract related events from tweets.
Extracting COVID-19 Events from Twitter Language Modelling +4
no code implementations • 29 Jan 2024 • Kaikai Zheng, Dawei Shi, Sandra Hirche, Yang Shi
Two kinds of data selection mechanisms are proposed by online evaluating the innovation contained in the sampled data, wherein the innovation is quantified by its effect of shrinking the set of potential system dynamics that are compatible with the sampled data.
no code implementations • 17 Dec 2023 • Zhengdong Zhang, Zihan Dong, Yang Shi, Noboru Matsuda, Thomas Price, Dongkuan Xu
This study demonstrated that ChatGPT could generate Java programming assignment feedback that students perceived as formative.
no code implementations • 10 Nov 2023 • Henglai Wei, Kunwu Zhang, HUI ZHANG, Yang Shi
In this work, we propose a distributed resilient consensus framework, consisting of a pre-designed consensus protocol and distributed model predictive control (DMPC) optimization, which can help significantly reduce the requirement on the network robustness and effectively handle the general linear constrained MAS under adversarial attacks.
no code implementations • 3 Jun 2023 • Dong Zhao, Yang Shi, Steven X. Ding, Yueyang Li, Fangzhou Fu
The replay attack detection problem is studied from a new perspective based on parity space method in this paper.
1 code implementation • ICCV 2023 • Nanxuan Zhao, Shengqi Dang, Hexun Lin, Yang Shi, Nan Cao
The development of face editing has been boosted since the birth of StyleGAN.
no code implementations • 29 Dec 2022 • Yuanzheng Li, Shangyang He, Yang Li, Yang Shi, Zhigang Zeng
Then, these local models are periodically uploaded to a server and their parameters are aggregated to build a global agent, which will be broadcasted to MGs and replace their local agents.
no code implementations • 2 Dec 2022 • Yang Shi, Guannan Liang, Young-joo Chung
Training samples in RS can be highly biased toward popular businesses with sufficient sales and can decrease advertising performance for small businesses.
no code implementations • 19 Sep 2022 • Henglai Wei, Changxin Liu, Yang Shi
This paper studies the consensus problem of general linear discrete-time multi-agent systems (MAS) with input constraints and bounded time-varying communication delays.
1 code implementation • 7 Jun 2022 • Yang Shi, Min Chi, Tiffany Barnes, Thomas Price
Knowledge tracing (KT) models are a popular approach for predicting students' future performance at practice problems using their prior attempts.
no code implementations • 18 Apr 2022 • Yang Shi, Young-joo Chung
We conducted experiments on MovieLens1M, Amazon product review, Ichiba purchase dataset and confirmed CCSR outperformed the existing matrix factorization-based methods.
1 code implementation • 15 Feb 2022 • Yang Shi, Young-joo Chung
We simultaneously learn binary hash codes and quantization codes to preserve semantic information in multiple modalities by an end-to-end deep learning architecture.
1 code implementation • 17 Sep 2021 • Changxin Liu, Zhenan Fan, Zirui Zhou, Yang Shi, Jian Pei, Lingyang Chu, Yong Zhang
To solve it in a federated and privacy-preserving manner, we consider the equivalent dual form of the problem and develop an asynchronous gradient coordinate-descent ascent algorithm, where some active data parties perform multiple parallelized local updates per communication round to effectively reduce the number of communication rounds.
no code implementations • 23 Aug 2021 • Xiaodong Shao, Qinglei Hu, Daochun Li, Yang Shi, Bowen Yi
This paper provides an exponential stability result for the adaptive anti-unwinding attitude tracking control problem of a rigid body with uncertain but constant inertia parameters, without requiring the satisfaction of persistent excitation (PE) condition.
no code implementations • 9 Jun 2021 • Henglai Wei, Kunwu Zhang, Yang Shi
At triggering instants, each agent solves a local min-max optimization problem based on local system states and predicted system states of neighbors, determines its next triggering instant and broadcasts its predicted state trajectory to its neighbors.
no code implementations • 21 Apr 2021 • Jiehan Zhou, Shouhua Zhang, Qinghua Lu, Wenbin Dai, Min Chen, Xin Liu, Susanna Pirttikangas, Yang Shi, Weishan Zhang, Enrique Herrera-Viedma
Federated learning (FL) brings collaborative intelligence into industries without centralized training data to accelerate the process of Industry 4. 0 on the edge computing level.
no code implementations • 7 Mar 2021 • Yang Shi, Krupal Shah, Wengran Wang, Samiha Marwan, Poorvaja Penmetsa, Thomas W. Price
Understanding students' misconceptions is important for effective teaching and assessment.
1 code implementation • 14 Oct 2020 • Jipeng Qiang, Xinyu Lu, Yun Li, Yunhao Yuan, Yang Shi, Xindong Wu
Lexical simplification has attracted much attention in many languages, which is the process of replacing complex words in a given sentence with simpler alternatives of equivalent meaning.
no code implementations • 29 Sep 2020 • Chacha Chen, Chieh-Yang Huang, Yaqi Hou, Yang Shi, Enyan Dai, Jiaqi Wang
The competition of extracting COVID-19 events from Twitter is to develop systems that can automatically extract related events from tweets.
Extracting COVID-19 Events from Twitter Language Modelling +5
1 code implementation • 7 Aug 2019 • Danqing Shi, Yang Shi, Xinyue Xu, Nan Chen, Siwei Fu, Hongjin Wu, Nan Cao
A chart sequence is used to describe a series of visualization charts generated in the exploratory analysis by data analysts.
no code implementations • 29 Jul 2019 • Zhuochen Jin, Nan Cao, Yang Shi, Hanghang Tong, Yingcai Wu
A suite of visualizations is designed to illustrate the dynamics of city segmentation and the corresponding interactions are added to support the exploration of the segmentation patterns over time.
no code implementations • 14 May 2019 • Yang Shi, Yuyin Liu, Hanghang Tong, Jingrui He, Gang Yan, Nan Cao
The increasing accessibility of data provides substantial opportunities for understanding user behaviors.
no code implementations • 31 Jan 2019 • Yang Shi, Animashree Anandkumar
Count sketch is a simple popular sketch which uses a randomized hash function to achieve compression.
no code implementations • 16 Oct 2018 • Jinxi Guo, Ning Xu, Kailun Qian, Yang Shi, Kaiyuan Xu, Ying-Nian Wu, Abeer Alwan
Experimental results using the NIST SRE 2010 dataset show that both methods provide significant improvement and result in a max of 28. 43% relative improvement in Equal Error Rates from a baseline system, when using deep encoder with residual blocks and adding an additional phoneme vector.
no code implementations • ECCV 2018 • Yang Shi, Tommaso Furlanello, Sheng Zha, Animashree Anandkumar
Visual Question Answering (VQA) requires integration of feature maps with drastically different structures and focus of the correct regions.
1 code implementation • 9 Mar 2018 • Yang Shi, Mengqiao Wang, Weiping Shi, Ji-Hyun Lee, Huining Kang, Hui Jiang
$\textbf{Results:}$ We evaluate the performance of the proposed algorithm through simulations and demonstrate its application to three real-world examples in genomic studies.
Applications
no code implementations • 8 Feb 2018 • Minhui Zou, Yang Shi, Chengliang Wang, Fangyu Li, WenZhan Song, Yu Wang
With the popularity of deep learning (DL), artificial intelligence (AI) has been applied in many areas of human life.
no code implementations • 20 Jun 2017 • Yang Shi, Tommaso Furlanello, Anima Anandkumar
Performing high level cognitive tasks requires the integration of feature maps with drastically different structure.
no code implementations • 12 Mar 2017 • Qing Han, Wentao Zhu, Yang Shi
Today, detection of anomalous events in civil infrastructures (e. g. water pipe breaks and leaks) is time consuming and often takes hours or days.
no code implementations • 15 Oct 2015 • Animashree Anandkumar, Prateek Jain, Yang Shi, U. N. Niranjan
Robust tensor CP decomposition involves decomposing a tensor into low rank and sparse components.