1 code implementation • NAACL 2022 • Benfeng Xu, Quan Wang, Yajuan Lyu, Yabing Shi, Yong Zhu, Jie Gao, Zhendong Mao
Multi-triple extraction is a challenging task due to the existence of informative inter-triple correlations, and consequently rich interactions across the constituent entities and relations. While existing works only explore entity representations, we propose to explicitly introduce relation representation, jointly represent it with entities, and novelly align them to identify valid triples. We perform comprehensive experiments on document-level relation extraction and joint entity and relation extraction along with ablations to demonstrate the advantage of the proposed method.
Document-level Relation Extraction Joint Entity and Relation Extraction
no code implementations • 10 Jan 2023 • Junming Cao, Bihuan Chen, Longjie Hu, Jie Gao, Kaifeng Huang, Xin Peng
Machine learning (ML) enabled systems are emerging with recent breakthroughs in ML.
no code implementations • 9 Jan 2023 • Pim Jordi Verschuuren, Jie Gao, Adelize van Eeden, Stylianos Oikonomou, Anil Bandhakavi
In this paper, we present the Logically submissions to De-Factify 2 challenge (DE-FACTIFY 2023) on the task 1 of Multi-Modal Fact Checking.
no code implementations • 2 Jan 2023 • Xuemin, Shen, Jie Gao, Wen Wu, Mushu Li, Conghao Zhou, Weihua Zhuang
The pervasive network intelligence integrates AI into future networks from the perspectives of networking for AI and AI for networking, respectively.
no code implementations • 7 Oct 2022 • XueWei Li, Weilun Zhang, Jie Gao, Xuzhou Fu, Jian Yu
Secondly, the subdomain classifier module based on instance confidence is constructed, which can dynamically divide the target domain into easy and difficult subdomains according to the relative proportion of easy and difficult instances.
no code implementations • 6 Oct 2022 • Conghao Zhou, Jie Gao, Mushu Li, Xuemin, Shen, Weihua Zhuang
Using a multi-tier computing paradigm with servers deployed at the core network, gateways, and base stations to support stateful applications, we aim to optimize long-term resource reservation by jointly minimizing the usage of computing, storage, and communication resources and the cost from reconfiguring resource reservation.
no code implementations • 10 Jul 2022 • Jie Gao, Jing Hu, Wanqing Sun, Yili Shen, Xiaonan Zhang, Xiaomin Fang, Fan Wang, Guodong Zhao
Our study highlights the prediction power of TCR and its potential value for cancer drug repurpose and precision oncology treatment.
no code implementations • 14 Mar 2022 • Peyman Afshani, Mark De Berg, Kevin Buchin, Jie Gao, Maarten Loffler, Amir Nayyeri, Benjamin Raichel, Rik Sarkar, Haotian Wang, Hao-Tsung Yang
For the Euclidean version of the problem, for instance, combining our results with known results on Euclidean TSP, yields a PTAS for approximating an optimal cyclic solution, and it yields a $(2(1-1/k)+\varepsilon)$-approximation of the optimal unrestricted solution.
no code implementations • 16 Dec 2021 • Jie Gao, Hella-Franziska Hoffmann, Stylianos Oikonomou, David Kiskovski, Anil Bandhakavi
This paper describes our participant system for the multi-modal fact verification (Factify) challenge at AAAI 2022.
1 code implementation • 10 Aug 2021 • Xiaopeng Guo, Zhijie Huang, Jie Gao, Mingyu Shang, Maojing Shu, Jun Sun
The original and adversarial examples are further used to jointly train the KT model, forcing it is not only to be robust to the adversarial examples, but also to enhance the generalization over the original ones.
no code implementations • 8 Jul 2021 • Zhihao Chen, Jie Gao, Weikai Wang, Zheng Yan
The generative neural network takes the mask as prior for the second-stage refined predictions.
no code implementations • 1 Jan 2021 • Ze Ye, Tengfei Ma, Chien-Chun Ni, Kin Sum Liu, Jie Gao, Chao Chen
We propose a novel GNN defense algorithm against structural attacks that maliciously modify graph topology.
no code implementations • 22 Dec 2020 • Aria Rezaei, Jie Gao, Anand D. Sarwate
Experiments demonstrate that a giant connected component of infected nodes can and does appear in real-world networks and that a simple inference attack can reveal the status of a good fraction of nodes.
Inference Attack Social and Information Networks
no code implementations • 5 Oct 2020 • Mushu Li, Jie Gao, Lian Zhao, Xuemin Shen
Mobile edge computing (MEC) is a promising technology to support mission-critical vehicular applications, such as intelligent path planning and safety applications.
1 code implementation • 14 Aug 2020 • Haotian Wang, Abhirup Ghosh, Jiaxin Ding, Rik Sarkar, Jie Gao
Major interventions have been introduced worldwide to slow down the spread of the SARS-CoV-2 virus.
Social and Information Networks Physics and Society
1 code implementation • 21 May 2020 • Shiliang Zhang, Zhifu Gao, Haoneng Luo, Ming Lei, Jie Gao, Zhijie Yan, Lei Xie
Recently, streaming end-to-end automatic speech recognition (E2E-ASR) has gained more and more attention.
Sound Audio and Speech Processing
1 code implementation • 15 May 2020 • Xiaoxiao Li, Xiaopeng Guo, Liye Mei, Mingyu Shang, Jie Gao, Maojing Shu, Xiang Wang
The core of VP model is to decompose the light source into light intensity and light spatial distribution to describe the perception process of HVS, offering refinement estimation of illumination and reflectance.
no code implementations • 5 May 2020 • Peyman Afshani, Mark De Berg, Kevin Buchin, Jie Gao, Maarten Loffler, Amir Nayyeri, Benjamin Raichel, Rik Sarkar, Haotian Wang, Hao-Tsung Yang
The problem is NP-hard, as it has the traveling salesman problem as a special case (when $k=1$ and all sites have the same weight).
no code implementations • ICLR 2020 • Ze Ye, Kin Sum Liu, Tengfei Ma, Jie Gao, Chao Chen
Graph-structured data is prevalent in many domains.
1 code implementation • LREC 2020 • Jie Gao, Sooji Han, Xingyi Song, Fabio Ciravegna
Early rumor detection (ERD) on social media platform is very challenging when limited, incomplete and noisy information is available.
1 code implementation • 16 Jul 2019 • Sooji Han, Jie Gao, Fabio Ciravegna
Preliminary experiments with a state-of-the-art deep learning-based rumor detection model show that augmented data can alleviate over-fitting and class imbalance caused by limited train data and can help to train complex neural networks (NNs).
no code implementations • 15 Jul 2019 • Kin Sum Liu, Chien-Chun Ni, Yu-Yao Lin, Jie Gao
We propose a new graph kernel for graph classification and comparison using Ollivier Ricci curvature.
1 code implementation • 9 Jul 2019 • Chien-Chun Ni, Yu-Yao Lin, Feng Luo, Jie Gao
Many complex networks in the real world have community structures -- groups of well-connected nodes with important functional roles.
Social and Information Networks Physics and Society
no code implementations • ICLR Workshop LLD 2019 • Sooji Han, Jie Gao, Fabio Ciravegna
We present an offline data augmentation method based on semantic relatedness for rumor detection.
no code implementations • 26 Dec 2018 • Aria Rezaei, Chaowei Xiao, Jie Gao, Bo Li, Sirajum Munir
To address the privacy concerns of users in this environment, we propose a novel framework called PR-GAN that offers privacy-preserving mechanism using generative adversarial networks.
1 code implementation • 2 Sep 2018 • Chien-Chun Ni, Yu-Yao Lin, Jie Gao, Xianfeng David Gu
In this work, we propose to use `Ricci flow metric', to define the distance between two nodes in a network.
Social and Information Networks Computational Geometry
no code implementations • 24 May 2018 • Kin Sum Liu, Chaowei Xiao, Bo Li, Jie Gao
We conduct extensive experiments on a variety of datasets and generative models showing that: our attacker network outperforms prior membership attacks; co-membership attacks can be substantially more powerful than single attacks; and VAEs are more susceptible to membership attacks compared to GANs.
2 code implementations • 9 Nov 2017 • Ziqi Zhang, Jie Gao, Fabio Ciravegna
Extensively evaluated with 13 state-of-the-art base ATE methods on four datasets of diverse nature, it is shown to have achieved widespread improvement over all base methods and across all datasets, with up to 15 percentage points when measured by the Precision in the top ranked K candidate terms (the average for a set of K's), or up to 28 percentage points in F1 measured at a K that equals to the expected real terms in the candidates (F1 in short).
no code implementations • EMNLP 2017 • Derry Tanti Wijaya, Brendan Callahan, John Hewitt, Jie Gao, Xiao Ling, Marianna Apidianaki, Chris Callison-Burch
Bilingual Lexicon Induction is the task of learning word translations without bilingual parallel corpora.
1 code implementation • LREC 2016 • Ziqi Zhang, Jie Gao, Fabio Ciravegna
Automatic Term Extraction (ATE) or Recognition (ATR) is a fundamental processing step preceding many complex knowledge engineering tasks.
2 code implementations • 17 Jan 2015 • Chien-Chun Ni, Yu-Yao Lin, Jie Gao, Xianfeng David Gu, Emil Saucan
Analysis of Internet topologies has shown that the Internet topology has negative curvature, measured by Gromov's "thin triangle condition", which is tightly related to core congestion and route reliability.
Social and Information Networks Computational Geometry Networking and Internet Architecture Physics and Society