no code implementations • NAACL (DeeLIO) 2021 • Junjie Wu, Hao Zhou
Dialog topic management and background knowledge selection are essential factors for the success of knowledge-grounded open-domain conversations.
no code implementations • 9 Feb 2024 • Jiawei Jiang, Yifan Yang, Jingyuan Wang, Junjie Wu
Developing effective Map Entity Representation Learning (MERL) methods is crucial to extracting embedding information from electronic maps and converting map entities into representation vectors for downstream applications.
no code implementations • 28 Dec 2023 • Zhihao Zhang, Yuan Zuo, Chenghua Lin, Junjie Wu
Finally, we merge the quality phrases from both the Annotator and Generator as the final predictions, considering their complementary nature and distinct characteristics.
1 code implementation • 20 Oct 2023 • Junjie Wu, Lemao Liu, Dit-yan Yeung
Behavioral testing offers a crucial means of diagnosing linguistic errors and assessing capabilities of NLP models.
no code implementations • 11 Oct 2023 • Yizhi Wang, Shichuan Xue, Yaxuan Wang, Jiangfang Ding, Weixu Shi, Dongyang Wang, Yong liu, Yingwen Liu, Xiang Fu, Guangyao Huang, Anqi Huang, Mingtang Deng, Junjie Wu
Our work opens up a vista of utilizing QNG in photonics to implement practical near-term quantum applications.
no code implementations • 1 Oct 2023 • Yizhi Wang, Shichuan Xue, Yaxuan Wang, Yong liu, Jiangfang Ding, Weixu Shi, Dongyang Wang, Yingwen Liu, Xiang Fu, Guangyao Huang, Anqi Huang, Mingtang Deng, Junjie Wu
Quantum Generative Adversarial Networks (QGANs), an intersection of quantum computing and machine learning, have attracted widespread attention due to their potential advantages over classical analogs.
no code implementations • 14 Aug 2023 • Chenwei Wang, Jifang Pei, Zhiyong Wang, Yulin Huang, Junjie Wu, Haiguang Yang, Jianyu Yang
In this paper, we propose a new multi-task learning approach for SAR ATR, which could obtain the accurate category and precise shape of the targets simultaneously.
no code implementations • 4 Jul 2023 • Junjie Wu, Dit-yan Yeung
Specifically, SCAT modifies random augmentations of the data in a fully labelfree manner to generate adversarial examples.
no code implementations • 14 Apr 2023 • Jingyuan Wang, Yufan Wu, Mingxuan Li, Xin Lin, Junjie Wu, Chao Li
While having achieved great success in rich real-life applications, deep neural network (DNN) models have long been criticized for their vulnerability to adversarial attacks.
1 code implementation • 7 Dec 2022 • Jiahao Ji, Jingyuan Wang, Chao Huang, Junjie Wu, Boren Xu, Zhenhe Wu, Junbo Zhang, Yu Zheng
ii) These models fail to capture the temporal heterogeneity induced by time-varying traffic patterns, as they typically model temporal correlations with a shared parameterized space for all time periods.
Ranked #1 on Traffic Prediction on BJTaxi
no code implementations • 11 Oct 2022 • Biling Wang, Michael Dohopolski, Ti Bai, Junjie Wu, Raquibul Hannan, Neil Desai, Aurelie Garant, Daniel Yang, Dan Nguyen, Mu-Han Lin, Robert Timmerman, Xinlei Wang, Steve Jiang
The bladder contour quality was primarily affected by using IV contrast.
no code implementations • 27 Sep 2022 • Junjie Wu, Changqun Xia, Tianshu Yu, Jia Li
Inspired by humans' observing process, we propose a view-aware salient object detection method based on a Sample Adaptive View Transformer (SAVT) module with two sub-modules to mitigate these issues.
no code implementations • 28 May 2022 • Xiao Han, Leye Wang, Junjie Wu, Yuncong Yang
Basically, we propose to perturb the original network by adding or removing links, and expect the embedding generated on the perturbed network can leak little information about private links but hold high utility for various downstream tasks.
no code implementations • 15 Dec 2021 • Xiao Han, Leye Wang, Junjie Wu, Xiao Fang
In response, we propose FedValue, a privacy-preserving, task-specific but model-free data valuation method for VFL, which consists of a data valuation metric and a federated computation method.
no code implementations • 15 Dec 2021 • Xiao Han, Yuncong Yang, Junjie Wu
We then design a novel hybrid protection mechanism called HyObscure, to cross-iteratively optimize the generalization and obfuscation operations for maximum privacy protection under a certain utility guarantee.
no code implementations • 18 May 2021 • Yutian Chang, Guannan Liu, Yuan Zuo, Junjie Wu
Along this vein, we propose a Mixture of Hawkes-based Temporal Network Embeddings (MHNE) model to capture the aspect-driven neighborhood formation of networks.
1 code implementation • 16 Feb 2021 • Jiajun Bao, Junjie Wu, Yiming Zhang, Eshwar Chandrasekharan, David Jurgens
Online conversations can go in many directions: some turn out poorly due to antisocial behavior, while others turn out positively to the benefit of all.
no code implementations • 1 Oct 2020 • Zhichao Sun, Junjie Wu, Gary G. Yen, Hang Ren, Hongyang An, Jianyu Yang
Then, a set of mission performance evaluators is established to quantitatively assess the capability of the system in a comprehensive manner, including UAV navigation, passive SAR imaging and communication.
1 code implementation • 10 Mar 2020 • Shaode Yu, Zhicheng Zhang, Xiaokun Liang, Junjie Wu, Erlei Zhang, Wenjian Qin, Yaoqin Xie
Moreover, the toolbox is evaluated on a database of 163 ultrasound images.
1 code implementation • 16 Dec 2019 • Yong Liu, Dongyang Wang, Shichuan Xue, Anqi Huang, Xiang Fu, Xiaogang Qiang, Ping Xu, He-Liang Huang, Mingtang Deng, Chu Guo, Xuejun Yang, Junjie Wu
We demonstrate our method by performing numerical simulations for the tomography of the ground state of a one-dimensional quantum spin chain, using a variational quantum circuit simulator.
no code implementations • 11 Nov 2019 • Liang Zhang, Guannan Liu, Junjie Wu
Given the effectiveness and ease of use, Item-based Collaborative Filtering (ICF) methods have been broadly used in industry in recent years.
no code implementations • 16 Aug 2019 • Guannan Liu, Liang Zhang, Junjie Wu, Xiao Fang
Specifically, eRAN first maps items connected in attribute networks to low-dimensional embedding vectors through a deep autoencoder, and then an attention mechanism is applied to model the attractions of attributes to users, from which personalized item representation can be derived.
no code implementations • 24 Jul 2019 • Jingyuan Wang, Yang Zhang, Ke Tang, Junjie Wu, Zhang Xiong
Recent years have witnessed the successful marriage of finance innovations and AI techniques in various finance applications including quantitative trading (QT).
no code implementations • 25 Apr 2019 • Jingyuan Wang, Junjie Wu, Ze Wang, Fei Gao, Zhang Xiong
In this paper, we propose a Neighbor-Regularized and context-aware Non-negative Tensor Factorization model (NR-cNTF) to discover interpretable urban dynamics from urban heterogeneous data.
no code implementations • 15 Feb 2019 • Jingyuan Wang, Kai Feng, Junjie Wu
The deep network model, with the majority built on neural networks, has been proved to be a powerful framework to represent complex data for high performance machine learning.
no code implementations • 23 Nov 2018 • Jia Li, Junjie Wu, Anlin Zheng, Yafei Song, Yu Zhang, Xiaowu Chen
Segmenting primary objects in a video is an important yet challenging problem in computer vision, as it exhibits various levels of foreground/background ambiguities.
2 code implementations • 23 Jun 2018 • Jingyuan Wang, Ze Wang, Jianfeng Li, Junjie Wu
In light of this, in this paper we propose a wavelet-based neural network structure called multilevel Wavelet Decomposition Network (mWDN) for building frequency-aware deep learning models for time series analysis.
no code implementations • 21 Mar 2018 • Zheng Xie, Guannan Liu, Junjie Wu, Yong Tan
First, public opinions in online media dominate traditional polls in Taiwan election prediction in terms of both predictive power and timeliness.