Search Results for author: Jie Gao

Found 41 papers, 12 papers with code

EmRel: Joint Representation of Entities and Embedded Relations for Multi-triple Extraction

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 +2

Differentially Private Range Queries with Correlated Input Perturbation

no code implementations10 Feb 2024 Prathamesh Dharangutte, Jie Gao, Ruobin Gong, Guanyang Wang

This work proposes a class of locally differentially private mechanisms for linear queries, in particular range queries, that leverages correlated input perturbation to simultaneously achieve unbiasedness, consistency, statistical transparency, and control over utility requirements in terms of accuracy targets expressed either in certain query margins or as implied by the hierarchical database structure.

Composite Active Learning: Towards Multi-Domain Active Learning with Theoretical Guarantees

no code implementations3 Feb 2024 Guang-Yuan Hao, Hengguan Huang, Haotian Wang, Jie Gao, Hao Wang

In this paper, we propose the first general method, dubbed composite active learning (CAL), for multi-domain AL. Our approach explicitly considers the domain-level and instance-level information in the problem; CAL first assigns domain-level budgets according to domain-level importance, which is estimated by optimizing an upper error bound that we develop; with the domain-level budgets, CAL then leverages a certain instance-level query strategy to select samples to label from each domain.

Active Learning

PAC Privacy Preserving Diffusion Models

no code implementations2 Dec 2023 Qipan Xu, Youlong Ding, Jie Gao, Hao Wang

Data privacy protection is garnering increased attention among researchers.

Privacy Preserving

Digital Twin-Based User-Centric Edge Continual Learning in Integrated Sensing and Communication

no code implementations20 Nov 2023 Shisheng Hu, Jie Gao, Xinyu Huang, Mushu Li, Kaige Qu, Conghao Zhou, Xuemin, Shen

A DT of the ISAC device is constructed to predict the impact of potential decisions on the long-term computation cost of the server, based on which the decisions are made with closed-form formulas.

Continual Learning Edge-computing

User Dynamics-Aware Edge Caching and Computing for Mobile Virtual Reality

no code implementations17 Nov 2023 Mushu Li, Jie Gao, Conghao Zhou, Xuemin Shen, Weihua Zhuang

The proposed approach aims to maximize VR video streaming performance, i. e., minimizing video frame missing rate, by proactively caching popular VR video chunks and adaptively scheduling computing resources at an edge server based on user and network dynamics.

Scheduling

Efficient Partitioning Method of Large-Scale Public Safety Spatio-Temporal Data based on Information Loss Constraints

no code implementations22 Jun 2023 Jie Gao, Yawen Li, Zhe Xue, Zeli Guan

It can also ensure the load balancing of distributed storage while maintaining spatio-temporal proximity of the data partitioning results.

graph partitioning Management

Digital Twin-Based 3D Map Management for Edge-Assisted Mobile Augmented Reality

no code implementations26 May 2023 Conghao Zhou, Jie Gao, Mushu Li, Nan Cheng, Xuemin Shen, Weihua Zhuang

In this paper, we design a 3D map management scheme for edge-assisted mobile augmented reality (MAR) to support the pose estimation of individual MAR device, which uploads camera frames to an edge server.

Management Model-based Reinforcement Learning +1

PhysBench: A Benchmark Framework for Remote Physiological Sensing with New Dataset and Baseline

no code implementations7 May 2023 Kegang Wang, Yantao Wei, Mingwen Tong, Jie Gao, Yi Tian, YuJian Ma, ZhongJin Zhao

In recent years, due to the widespread use of internet videos, physiological remote sensing has gained more and more attention in the fields of affective computing and telemedicine.

VISAR: A Human-AI Argumentative Writing Assistant with Visual Programming and Rapid Draft Prototyping

no code implementations16 Apr 2023 Zheng Zhang, Jie Gao, Ranjodh Singh Dhaliwal, Toby Jia-Jun Li

In argumentative writing, writers must brainstorm hierarchical writing goals, ensure the persuasiveness of their arguments, and revise and organize their plans through drafting.

Persuasiveness Text Generation

Understanding the Complexity and Its Impact on Testing in ML-Enabled Systems

no code implementations10 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.

Holistic Network Virtualization and Pervasive Network Intelligence for 6G

no code implementations2 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.

Management

IDPL: Intra-subdomain adaptation adversarial learning segmentation method based on Dynamic Pseudo Labels

no code implementations7 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.

Pseudo Label Segmentation +3

Digital Twin-Empowered Network Planning for Multi-Tier Computing

no code implementations6 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.

Management Meta-Learning

TCR: A Transformer Based Deep Network for Predicting Cancer Drugs Response

no code implementations10 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.

On Cyclic Solutions to the Min-Max Latency Multi-Robot Patrolling Problem

no code implementations14 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.

Logically at Factify 2022: Multimodal Fact Verification

no code implementations16 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.

Benchmarking Fact Checking +3

Enhancing Knowledge Tracing via Adversarial Training

1 code implementation10 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.

Knowledge Tracing

Ricci-GNN: Defending Against Structural Attacks Through a Geometric Approach

no code implementations1 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.

Influencers and the Giant Component: the Fundamental Hardness in Privacy Protection for Socially Contagious Attributes

no code implementations22 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

Deep Reinforcement Learning for Collaborative Edge Computing in Vehicular Networks

no code implementations5 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.

Edge-computing reinforcement-learning +2

Heterogeneous Interventions Reduce the Spread of COVID-19 in Simulations on Real Mobility Data

1 code implementation14 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

Streaming Chunk-Aware Multihead Attention for Online End-to-End Speech Recognition

1 code implementation21 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

Visual Perception Model for Rapid and Adaptive Low-light Image Enhancement

1 code implementation15 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.

Computational Efficiency Low-Light Image Enhancement

RP-DNN: A Tweet level propagation context based deep neural networks for early rumor detection in Social Media

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.

Language Modelling

Neural Language Model Based Training Data Augmentation for Weakly Supervised Early Rumor Detection

1 code implementation16 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).

Data Augmentation Language Modelling

Topology Based Scalable Graph Kernels

no code implementations15 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.

Graph Classification

Community Detection on Networks with Ricci Flow

1 code implementation9 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

Application-driven Privacy-preserving Data Publishing with Correlated Attributes

no code implementations26 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.

Privacy Preserving

Network Alignment by Discrete Ollivier-Ricci Flow

1 code implementation2 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

Performing Co-Membership Attacks Against Deep Generative Models

no code implementations24 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.

SemRe-Rank: Improving Automatic Term Extraction By Incorporating Semantic Relatedness With Personalised PageRank

2 code implementations9 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).

Term Extraction Word Embeddings

JATE 2.0: Java Automatic Term Extraction with Apache Solr

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.

Benchmarking Term Extraction

Ricci Curvature of the Internet Topology

2 code implementations17 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

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