1 code implementation • NAACL (MIA) 2022 • Gengyu Wang, Cheng Qian, Lin Pan, Haode Qi, Ladislav Kunc, Saloni Potdar
Current virtual assistant (VA) platforms are beholden to the limited number of languages they support.
no code implementations • 23 May 2023 • Cheng Qian, Chi Han, Yi R. Fung, Yujia Qin, Zhiyuan Liu, Heng Ji
Large Language Models (LLMs) have demonstrated significant progress in utilizing external APIs as tools for various tasks.
1 code implementation • 15 May 2023 • Yujia Qin, Cheng Qian, Xu Han, Yankai Lin, Huadong Wang, Ruobing Xie, Zhiyuan Liu, Maosong Sun, Jie zhou
In pilot studies, we find that after continual pre-training, the upgraded PLM remains compatible with the outdated adapted weights to some extent.
no code implementations • 2 May 2023 • Xinyan Li, Cheng Qian, Lucas Glass
Respiratory syncytial virus (RSV) is one of the most dangerous respiratory diseases for infants and young children.
2 code implementations • 17 Apr 2023 • Yujia Qin, Shengding Hu, Yankai Lin, Weize Chen, Ning Ding, Ganqu Cui, Zheni Zeng, Yufei Huang, Chaojun Xiao, Chi Han, Yi Ren Fung, Yusheng Su, Huadong Wang, Cheng Qian, Runchu Tian, Kunlun Zhu, Shihao Liang, Xingyu Shen, Bokai Xu, Zhen Zhang, Yining Ye, Bowen Li, Ziwei Tang, Jing Yi, Yuzhang Zhu, Zhenning Dai, Lan Yan, Xin Cong, Yaxi Lu, Weilin Zhao, Yuxiang Huang, Junxi Yan, Xu Han, Xian Sun, Dahai Li, Jason Phang, Cheng Yang, Tongshuang Wu, Heng Ji, Zhiyuan Liu, Maosong Sun
Considering the lack of a systematic tool learning evaluation in prior works, we experiment with 17 representative tools and show the potential of current foundation models in skillfully utilizing tools.
no code implementations • 29 Mar 2023 • Yu-Hang Xiao, Lei Huang, David Ramírez, Cheng Qian, Hing Cheung So
To mitigate this issue, we present a recovery scheme that incorporates time-varying thresholds.
no code implementations • 16 Jan 2023 • Cheng Qian, Haode Qi, Gengyu Wang, Ladislav Kunc, Saloni Potdar
Out of Scope (OOS) detection in Conversational AI solutions enables a chatbot to handle a conversation gracefully when it is unable to make sense of the end-user query.
1 code implementation • 25 Oct 2022 • Yujia Qin, Cheng Qian, Jing Yi, Weize Chen, Yankai Lin, Xu Han, Zhiyuan Liu, Maosong Sun, Jie zhou
(3) How does the PLM's task knowledge change along the path connecting two minima?
1 code implementation • 8 May 2022 • Chaoqi Yang, Cheng Qian, Jimeng Sun
Our variant GOCPTE shows up to 1:2% and 5:5% fitness improvement on two datasets with about 20% speedup compared to the best model.
no code implementations • 13 Apr 2022 • Rakshith S Srinivasa, Cheng Qian, Brandon Theodorou, Jeffrey Spaeder, Cao Xiao, Lucas Glass, Jimeng Sun
More recently, the issue of diversity and inclusion in clinical trials is gaining importance.
no code implementations • 31 Jan 2022 • Cheng Qian, Kejun Huang, Lucas Glass, Rakshith S. Srinivasa, Jimeng Sun
Tensor completion aims at imputing missing entries from a partially observed tensor.
1 code implementation • 15 Jun 2021 • Chaoqi Yang, Cheng Qian, Navjot Singh, Cao Xiao, M Brandon Westover, Edgar Solomonik, Jimeng Sun
This paper addresses the above challenges by proposing augmented tensor decomposition (ATD), which effectively incorporates data augmentations and self-supervised learning (SSL) to boost downstream classification.
1 code implementation • 14 Jun 2021 • Chaoqi Yang, Navjot Singh, Cao Xiao, Cheng Qian, Edgar Solomonik, Jimeng Sun
Our MTC model explores tensor mode properties and leverages the hierarchy of resolutions to recursively initialize an optimization setup, and optimizes on the coupled system using alternating least squares.
no code implementations • 21 May 2021 • Cheng Qian
When a neuron's activation represents some symbolic element in the environment, each of its synapses can indicate a potential change to the element and its future state.
no code implementations • 11 May 2021 • Cheng Qian, Nikos Kargas, Cao Xiao, Lucas Glass, Nicholas Sidiropoulos, Jimeng Sun
Recovering such missing or noisy (under-reported) elements of the input tensor can be viewed as a generalized tensor completion problem.
no code implementations • 19 Dec 2020 • Yu-Hang Xiao, David Ramírez, Peter J. Schreier, Cheng Qian, Lei Huang
Target detection is an important problem in multiple-input multiple-output (MIMO) radar.
no code implementations • 8 Dec 2020 • Nikos Kargas, Cheng Qian, Nicholas D. Sidiropoulos, Cao Xiao, Lucas M. Glass, Jimeng Sun
Accurate prediction of the transmission of epidemic diseases such as COVID-19 is crucial for implementing effective mitigation measures.
no code implementations • 3 Nov 2020 • Kehan Long, Cheng Qian, Jorge Cortés, Nikolay Atanasov
Control barrier functions are widely used to enforce safety properties in robot motion planning and control.
Motion Planning Robotics
no code implementations • 8 Oct 2020 • Ardavan Afshar, Kejing Yin, Sherry Yan, Cheng Qian, Joyce C. Ho, Haesun Park, Jimeng Sun
In particular, we define the N-th order tensor Wasserstein loss for the widely used tensor CP factorization and derive the optimization algorithm that minimizes it.
no code implementations • 25 Sep 2020 • Cheng Qian, Abdulkadir C. Yucel
Tensor decomposition methodologies are proposed to reduce the memory requirement of translation operator tensors arising in the fast multipole method-fast Fourier transform (FMM-FFT)-accelerated surface integral equation (SIE) simulators.
no code implementations • 29 Sep 2019 • Yuwen Yang, Feifei Gao, Cheng Qian, Guisheng Liao
Specifically, we first propose the eigenvalue based regression network (ERNet) and classification network (ECNet) to estimate the number of non-coherent sources, where the eigenvalues of the received signal covariance matrix and the source number are used as the input and the supervise label of the networks, respectively.
no code implementations • 27 Jul 2019 • Cheng Qian, Amin Emad, Nicholas D. Sidiropoulos
Time-course gene expression data is a rich source of information that can be used to unravel these complex processes, identify biomarkers of drug sensitivity and predict the response to a drug.
1 code implementation • 4 Jul 2019 • Tianxi Li, Cheng Qian, Elizaveta Levina, Ji Zhu
Graphical models are commonly used to represent conditional dependence relationships between variables.
no code implementations • 29 Oct 2018 • Cheng Qian, Nicholas D. Sidiropoulos, Magda Amiridi, Amin Emad
Predicting the response of cancer cells to drugs is an important problem in pharmacogenomics.