1 code implementation • EMNLP 2020 • Jianfeng He, Xuchao Zhang, Shuo Lei, Zhiqian Chen, Fanglan Chen, Abdulaziz Alhamadani, Bei Xiao, ChangTien Lu
The uncertainty measurement of classified results is especially important in areas requiring limited human resources for higher accuracy.
no code implementations • 26 May 2024 • Lei Zhang, Zhiqian Chen, Chang-Tien Lu, Liang Zhao
Network interdiction problems are combinatorial optimization problems involving two players: one aims to solve an optimization problem on a network, while the other seeks to modify the network to thwart the first player's objectives.
no code implementations • 29 Apr 2024 • Nisha Pillai, Bindu Nanduri, Michael J Rothrock Jr., Zhiqian Chen, Mahalingam Ramkumar
Bayesian optimization was then implemented to select variants for biological screening to maximize identification of designs with restricted MDR pathogens based on minimal samples.
1 code implementation • 25 Mar 2024 • Zirui Yuan, Minglai Shao, Zhiqian Chen
In this problem, the seed set is a combination of influential users and information.
1 code implementation • 25 Mar 2024 • Zonghan Zhang, Zijian Zhang, Zhiqian Chen
A surrogate function models uncertainty from the limited information.
1 code implementation • 7 Aug 2023 • Zijian Zhang, Zonghan Zhang, Zhiqian Chen
One of the primary obstacles to current research in this field is the absence of a comprehensive curated benchmark suite to study the flow behaviors under network scenarios.
no code implementations • 27 Nov 2022 • Kourosh T. Baghaei, Amirreza Payandeh, Pooya Fayyazsanavi, Shahram Rahimi, Zhiqian Chen, Somayeh Bakhtiari Ramezani
Machine Learning algorithms have had a profound impact on the field of computer science over the past few decades.
1 code implementation • 4 Aug 2022 • Subhodip Biswas, Fanglan Chen, Zhiqian Chen, Chang-Tien Lu, Naren Ramakrishnan
However, the search operators employed by these population-based methods are mostly designed for real-parameter continuous optimization problems.
no code implementations • 18 Jul 2022 • Zhiqian Chen, Zonghan Zhang
We quantify the information overlap between graph topology, node features, and labels in order to determine graph convolution's representation power in the node classification task.
1 code implementation • 16 Jul 2022 • Zonghan Zhang, Zhiqian Chen
Given its vast application on online social networks, Influence Maximization (IM) has garnered considerable attention over the last couple of decades.
1 code implementation • 8 Jun 2022 • Subhodip Biswas, Fanglan Chen, Zhiqian Chen, Chang-Tien Lu, Naren Ramakrishnan
Motivated by these recent developments, we develop a set of similar sampling techniques for designing school boundaries based on the flip proposal.
1 code implementation • 9 Nov 2021 • Padmaksha Roy, Shailik Sarkar, Subhodip Biswas, Fanglan Chen, Zhiqian Chen, Naren Ramakrishnan, Chang-Tien Lu
The Gaussian Mixture Model layer is implemented to consider the multimodal nature of the real-time data while learning from multiple related time series.
1 code implementation • 21 Jul 2021 • Zhiqian Chen, Fanglan Chen, Lei Zhang, Taoran Ji, Kaiqun Fu, Liang Zhao, Feng Chen, Lingfei Wu, Charu Aggarwal, Chang-Tien Lu
Deep learning's performance has been extensively recognized recently.
no code implementations • 27 Feb 2020 • Zhiqian Chen, Fanglan Chen, Lei Zhang, Taoran Ji, Kaiqun Fu, Liang Zhao, Feng Chen, Lingfei Wu, Charu Aggarwal, Chang-Tien Lu
Deep learning's success has been widely recognized in a variety of machine learning tasks, including image classification, audio recognition, and natural language processing.
1 code implementation • 22 May 2019 • Taoran Ji, Zhiqian Chen, Nathan Self, Kaiqun Fu, Chang-Tien Lu, Naren Ramakrishnan
For the problem of patent citations, we observe that forecasting a patent's chain of citations benefits from not only the patent's history itself but also from the historical citations of assignees and inventors associated with that patent.
no code implementations • 14 Feb 2019 • Zhiqian Chen, Gaurav Kolhe, Setareh Rafatirad, Sai Manoj P. D., Houman Homayoun, Liang Zhao, Chang-Tien Lu
Deobfuscation runtime could have a large span ranging from few milliseconds to thousands of years or more, depending on the number and layouts of the ICs and camouflaged gates.
1 code implementation • 30 Aug 2018 • Zhiqian Chen, Feng Chen, Rongjie Lai, Xuchao Zhang, Chang-Tien Lu
RatioanlNet is proposed to integrate rational function and neural networks.
no code implementations • 6 Jul 2018 • Xuchao Zhang, Liang Zhao, Zhiqian Chen, Chang-Tien Lu
One key issue in SPL is the training process required for each instance weight depends on the other samples and thus cannot easily be run in a distributed manner in a large-scale dataset.
no code implementations • 5 Dec 2017 • Zhiqian Chen, Xuchao Zhang, Arnold P. Boedihardjo, Jing Dai, Chang-Tien Lu
Deriving event storylines is an effective summarization method to succinctly organize extensive information, which can significantly alleviate the pain of information overload.
1 code implementation • 5 Dec 2017 • Zhiqian Chen, Chih-Wei Wu, Yen-Cheng Lu, Alexander Lerch, Chang-Tien Lu
FusionGAN is a novel genre fusion framework for music generation that integrates the strengths of generative adversarial networks and dual learning.