no code implementations • Findings (ACL) 2022 • Kai Sun, Richong Zhang, Samuel Mensah, Yongyi Mao, Xudong Liu
As like previous work, we rely on negative entities to encourage our model to discriminate the golden entities during training.
no code implementations • EMNLP 2021 • Xueguang Ma, Minghan Li, Kai Sun, Ji Xin, Jimmy Lin
Recent work has shown that dense passage retrieval techniques achieve better ranking accuracy in open-domain question answering compared to sparse retrieval techniques such as BM25, but at the cost of large space and memory requirements.
no code implementations • 7 Apr 2024 • Kai Sun, Yushi Bai, Nianyi Lin
In this work, we present the MM-MATH dataset, a novel benchmark developed to rigorously evaluate the performance of advanced large language and multimodal models - including but not limited to GPT-4, GPT-4V, and Claude - within the domain of geometric computation.
no code implementations • 19 Dec 2023 • Min Xiong, Kaiyang Huang, Yang Liu, Rui Yao, Kai Sun, Feng Qiu
Case studies are conducted on EMT models of the IEEE 39-bus system and a synthetic 390-bus system to demonstrate the merits of the new simulation approach against traditional methods.
no code implementations • 6 Dec 2023 • Xinzhou Wang, Yikai Wang, Junliang Ye, Zhengyi Wang, Fuchun Sun, Pengkun Liu, Ling Wang, Kai Sun, Xintong Wang, Bin He
Extensive experiments demonstrate the capability of our method in generating high-flexibility text-guided 3D models from the monocular video, while also showing improved reconstruction performance over existing non-rigid reconstruction methods.
1 code implementation • 28 Oct 2023 • Chonggang Lu, Richong Zhang, Kai Sun, Jaein Kim, Cunwang Zhang, Yongyi Mao
Existing methods focus on building a heterogeneous document graph to model the internal structure of an entity and the external interaction between entities.
no code implementations • 20 Aug 2023 • Kai Sun, Yifan Ethan Xu, Hanwen Zha, Yue Liu, Xin Luna Dong
Since the recent prosperity of Large Language Models (LLMs), there have been interleaved discussions regarding how to reduce hallucinations from LLM responses, how to increase the factuality of LLMs, and whether Knowledge Graphs (KGs), which store the world knowledge in a symbolic form, will be replaced with LLMs.
no code implementations • 16 Jul 2023 • Jingqing Zhang, Kai Sun, Akshay Jagadeesh, Mahta Ghahfarokhi, Deepa Gupta, Ashok Gupta, Vibhor Gupta, Yike Guo
Recent studies have demonstrated promising performance of ChatGPT and GPT-4 on several medical domain tasks.
no code implementations • 18 May 2023 • Samuel Mensah, Kai Sun, Nikolaos Aletras
State-of-the-art target-oriented opinion word extraction (TOWE) models typically use BERT-based text encoders that operate on the word level, along with graph convolutional networks (GCNs) that incorporate syntactic information extracted from syntax trees.
no code implementations • 28 Feb 2023 • Kai Sun, Richong Zhang, Samuel Mensah, Nikolaos Aletras, Yongyi Mao, Xudong Liu
Inspired by the theoretical foundations in domain adaptation [2], we propose a new SSL approach that opts for selecting target samples whose model output from a domain-specific teacher and student network disagree on the unlabelled target data, in an effort to boost the target domain performance.
no code implementations • 18 Feb 2023 • Min Xiong, Rui Yao, Yang Liu, Kai Sun, Feng Qiu
For electromagnetic transient (EMT) simulation of a power system, a state-space-based approach needs to solve state-space EMT equations by using numerical integration methods, e. g., the Euler method, Runge-Kutta methods, and trapezoidal-rule method, at small time steps.
no code implementations • 6 Oct 2022 • Kai Sun
We further propose improvements to make the model more aware of the time sensitivity of transactions and the popularity of assets.
no code implementations • 22 May 2022 • Yuanqing Yang, Kai Sun, Yanhua Gao, Kuangsong Wang, Gang Yu
The digital pathology is fundamental of clinical-grade PAI, and the techniques of data standardization and weakly supervised learning methods based on whole slide image (WSI) are effective ways to overcome obstacles of performance reproduction.
no code implementations • 9 Mar 2022 • Tianwei Xia, Kai Sun, Wei Kang
A case study is carried out for a microgrid model based on a modified Kundur two-area system to test the real-time performance of the proposed control scheme.
no code implementations • 29 Dec 2021 • Wei Kang, Kai Sun, Liang Xu
We prove that a neural network approximation exists for the Lyapunov function of power systems such that the approximation error is a cubic polynomial of the number of generators.
no code implementations • 23 Dec 2021 • Pengchuan Xiao, Zhenlei Shao, Steven Hao, Zishuo Zhang, Xiaolin Chai, Judy Jiao, Zesong Li, Jian Wu, Kai Sun, Kun Jiang, Yunlong Wang, Diange Yang
The accelerating development of autonomous driving technology has placed greater demands on obtaining large amounts of high-quality data.
1 code implementation • EMNLP 2021 • Samuel Mensah, Kai Sun, Nikolaos Aletras
Target-oriented opinion words extraction (TOWE) (Fan et al., 2019b) is a new subtask of target-oriented sentiment analysis that aims to extract opinion words for a given aspect in text.
2 code implementations • 26 May 2021 • Eloise Withnell, XiaoYu Zhang, Kai Sun, Yike Guo
To the best of our knowledge, XOmiVAE is one of the first activation level-based interpretable deep learning models explaining novel clusters generated by VAE.
1 code implementation • 15 May 2021 • Kai Sun, Yanhua Gao, Ting Xie, Xun Wang, Qingqing Yang, Le Chen, Kuansong Wang, Gang Yu
We design a strategy to scan slides with low resolution (5X) and a super-resolution method is proposed to restore the image details when in diagnosis.
1 code implementation • 12 Apr 2021 • Xueguang Ma, Kai Sun, Ronak Pradeep, Jimmy Lin
Text retrieval using learned dense representations has recently emerged as a promising alternative to "traditional" text retrieval using sparse bag-of-words representations.
1 code implementation • 10 Mar 2021 • Shuang Xu, Jiangshe Zhang, Kai Sun, Zixiang Zhao, Lu Huang, Junmin Liu, Chunxia Zhang
Pansharpening is a fundamental issue in remote sensing field.
1 code implementation • CVPR 2021 • Shuang Xu, Jiangshe Zhang, Zixiang Zhao, Kai Sun, Junmin Liu, Chunxia Zhang
Specifically, two optimization problems regularized by the deep prior are formulated, and they are separately responsible for the generative models for panchromatic images and low resolution multispectral images.
1 code implementation • 3 Feb 2021 • XiaoYu Zhang, Yuting Xing, Kai Sun, Yike Guo
To tackle this problem and pave the way for machine learning aided precision medicine, we proposed a unified multi-task deep learning framework named OmiEmbed to capture biomedical information from high-dimensional omics data with the deep embedding and downstream task modules.
no code implementations • Findings (EMNLP) 2021 • Dian Yu, Kai Sun, Dong Yu, Claire Cardie
In spite of much recent research in the area, it is still unclear whether subject-area question-answering data is useful for machine reading comprehension (MRC) tasks.
no code implementations • 26 Jan 2021 • Nguyen Truong, Gyu Myoung Lee, Kai Sun, Florian Guitton, Yike Guo
Blockchain technology has been envisaged to commence an era of decentralised applications and services (DApps) without the need for a trusted intermediary.
Cryptography and Security Distributed, Parallel, and Cluster Computing
no code implementations • 31 Dec 2020 • Zixiang Zhao, Jiangshe Zhang, Shuang Xu, Kai Sun, Lu Huang, Junmin Liu, Chunxia Zhang
In addition, the latent information of features can be preserved effectively through adversarial training.
1 code implementation • 29 Dec 2020 • Shuang Xu, Lizhen Ji, Zhe Wang, Pengfei Li, Kai Sun, Chunxia Zhang, Jiangshe Zhang
According to the idea that each local region in the fused image should be similar to the sharpest one among source images, this paper presents an optimization-based approach to reduce defocus spread effects.
no code implementations • 5 Dec 2020 • Kai Sun, Yingjie Hu, Jia Song, Yunqiang Zhu
Despite their valuable content, it is often challenging to access and use the information in historical maps, due to their forms of paper-based maps or scanned images.
no code implementations • 10 Nov 2020 • Nguyen Truong, Kai Sun, Siyao Wang, Florian Guitton, Yike Guo
Furthermore, in the era of the Internet of Things and big data in which data is essentially distributed, transferring a vast amount of data to a data centre for processing seems to be a cumbersome solution.
1 code implementation • NAACL 2021 • Kai Sun, Seungwhan Moon, Paul Crook, Stephen Roller, Becka Silvert, Bing Liu, Zhiguang Wang, Honglei Liu, Eunjoon Cho, Claire Cardie
Existing dialogue corpora and models are typically designed under two disjoint motives: while task-oriented systems focus on achieving functional goals (e. g., booking hotels), open-domain chatbots aim at making socially engaging conversations.
no code implementations • ACL 2022 • Kai Sun, Dian Yu, Jianshu Chen, Dong Yu, Claire Cardie
In this paper, we aim to extract commonsense knowledge to improve machine reading comprehension.
no code implementations • 2 Sep 2020 • Zixiang Zhao, Jiangshe Zhang, Shuang Xu, Kai Sun, Chunxia Zhang, Junmin Liu
The core idea is that the encoder decomposes an image into base and detail feature maps with low- and high-frequency information, respectively, and that the decoder is responsible for the original image reconstruction.
no code implementations • EMNLP 2020 • Kai Sun, Richong Zhang, Samuel Mensah, Yongyi Mao, Xudong Liu
The idea of using multi-task learning approaches to address the joint extraction of entity and relation is motivated by the relatedness between the entity recognition task and the relation classification task.
Ranked #8 on Relation Extraction on WebNLG
no code implementations • arXiv 2020 • Kai Sun, 2 Richong Zhang, 2∗Samuel Mensah, 1, 2 Yongyi Mao, 3 Xudong Liu
In this study, we argue that an explicit interaction between the NER model and the RE model will better guide the training of both models.
3 code implementations • ACL 2020 • Dian Yu, Kai Sun, Claire Cardie, Dong Yu
We present the first human-annotated dialogue-based relation extraction (RE) dataset DialogRE, aiming to support the prediction of relation(s) between two arguments that appear in a dialogue.
Ranked #6 on Dialog Relation Extraction on DialogRE (F1c (v1) metric)
3 code implementations • COLING 2020 • Liang Xu, Hai Hu, Xuanwei Zhang, Lu Li, Chenjie Cao, Yudong Li, Yechen Xu, Kai Sun, Dian Yu, Cong Yu, Yin Tian, Qianqian Dong, Weitang Liu, Bo Shi, Yiming Cui, Junyi Li, Jun Zeng, Rongzhao Wang, Weijian Xie, Yanting Li, Yina Patterson, Zuoyu Tian, Yiwen Zhang, He Zhou, Shaoweihua Liu, Zhe Zhao, Qipeng Zhao, Cong Yue, Xinrui Zhang, Zhengliang Yang, Kyle Richardson, Zhenzhong Lan
The advent of natural language understanding (NLU) benchmarks for English, such as GLUE and SuperGLUE allows new NLU models to be evaluated across a diverse set of tasks.
1 code implementation • CVPR 2020 • Yongjian Chen, Lei Tai, Kai Sun, Mingyang Li
Monocular 3D object detection is an essential component in autonomous driving while challenging to solve, especially for those occluded samples which are only partially visible.
Ranked #11 on Vehicle Pose Estimation on KITTI Cars Hard
1 code implementation • 10 Nov 2019 • Jingqing Zhang, Xiao-Yu Zhang, Kai Sun, Xian Yang, Chengliang Dai, Yike Guo
The extraction of phenotype information which is naturally contained in electronic health records (EHRs) has been found to be useful in various clinical informatics applications such as disease diagnosis.
no code implementations • IJCNLP 2019 • Kai Sun, Richong Zhang, Samuel Mensah, Yongyi Mao, Xudong Liu
We propose a method based on neural networks to identify the sentiment polarity of opinion words expressed on a specific aspect of a sentence.
no code implementations • CONLL 2019 • Hai Wang, Dian Yu, Kai Sun, Jianshu Chen, Dong Yu
However, in multilingual setting, it is extremely resource-consuming to pre-train a deep language model over large-scale corpora for each language.
no code implementations • 26 Sep 2019 • Hai Wang, Dian Yu, Kai Sun, Janshu Chen, Dong Yu
However, in multilingual setting, it is extremely resource-consuming to pre-train a deep language model over large-scale corpora for each language.
1 code implementation • 14 Sep 2019 • Yi Sun, Xushen Han, Kai Sun, Boren Li, Yongjiang Chen, Mingyang Li
Combined with high-level semantics, Sem-LS is more robust under cluttered environment compared with existing line-shaped representations.
4 code implementations • 17 Aug 2019 • Xiao-Yu Zhang, Jingqing Zhang, Kai Sun, Xian Yang, Chengliang Dai, Yike Guo
The training procedure of OmiVAE is comprised of an unsupervised phase without the classifier and a supervised phase with the classifier.
no code implementations • 12 Jul 2019 • Zheng Gao, Lin Guo, Chi Ma, Xiao Ma, Kai Sun, Hang Xiang, Xiaoqiang Zhu, Hongsong Li, Xiaozhong Liu
Anomaly detection is facing with emerging challenges in many important industry domains, such as cyber security and online recommendation and advertising.
1 code implementation • TACL 2020 • Kai Sun, Dian Yu, Dong Yu, Claire Cardie
Machine reading comprehension tasks require a machine reader to answer questions relevant to the given document.
no code implementations • TACL 2019 • Kai Sun, Dian Yu, Jianshu Chen, Dong Yu, Yejin Choi, Claire Cardie
We present DREAM, the first dialogue-based multiple-choice reading comprehension data set.
1 code implementation • CONLL 2019 • Hai Wang, Dian Yu, Kai Sun, Jianshu Chen, Dong Yu, David Mcallester, Dan Roth
Remarkable success has been achieved in the last few years on some limited machine reading comprehension (MRC) tasks.
1 code implementation • WS 2019 • Xiaoman Pan, Kai Sun, Dian Yu, Jianshu Chen, Heng Ji, Claire Cardie, Dong Yu
We focus on multiple-choice question answering (QA) tasks in subject areas such as science, where we require both broad background knowledge and the facts from the given subject-area reference corpus.
1 code implementation • 1 Feb 2019 • Kai Sun, Dian Yu, Jianshu Chen, Dong Yu, Yejin Choi, Claire Cardie
DREAM is likely to present significant challenges for existing reading comprehension systems: 84% of answers are non-extractive, 85% of questions require reasoning beyond a single sentence, and 34% of questions also involve commonsense knowledge.
no code implementations • 22 Dec 2018 • Yongli Zhu, Chengxi Liu, Kai Sun
This paper presents a study on power grid disturbance classification by Deep Learning (DL).
1 code implementation • NAACL 2019 • Kai Sun, Dian Yu, Dong Yu, Claire Cardie
Reading strategies have been shown to improve comprehension levels, especially for readers lacking adequate prior knowledge.
Ranked #7 on Question Answering on StoryCloze
no code implementations • 22 Jun 2018 • Lin Guo, Hui Ye, Wenbo Su, Henhuan Liu, Kai Sun, Hang Xiang
Recently, many works have been done on visualizing and analyzing the mechanism of deep neural networks in the areas of image processing and natural language processing.
no code implementations • 12 Dec 2017 • Shuang Liu, Mete Ozay, Takayuki Okatani, Hongli Xu, Kai Sun, Yang Lin
In the experiments, we first evaluate performance of the proposed detection module on UDID and its deformed variations.
no code implementations • 14 Jul 2015 • Kai Sun, Qizhe Xie, Kai Yu
Dialogue state tracking (DST) is a process to estimate the distribution of the dialogue states as a dialogue progresses.