Search Results for author: Cheng Qian

Found 24 papers, 8 papers with code

CREATOR: Disentangling Abstract and Concrete Reasonings of Large Language Models through Tool Creation

no code implementations23 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.

Transfer Learning

Recyclable Tuning for Continual Pre-training

1 code implementation15 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In pilot studies, we find that after continual pre-training, the upgraded PLM remains compatible with the outdated adapted weights to some extent.

Distinguish Sense from Nonsense: Out-of-Scope Detection for Virtual Assistants

no code implementations16 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.


Exploring Mode Connectivity for Pre-trained Language Models

1 code implementation25 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?

GOCPT: Generalized Online Canonical Polyadic Tensor Factorization and Completion

1 code implementation8 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.

ATD: Augmenting CP Tensor Decomposition by Self Supervision

1 code implementation15 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.

Data Augmentation Dimensionality Reduction +3

MTC: Multiresolution Tensor Completion from Partial and Coarse Observations

1 code implementation14 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.

Condition Integration Memory Network: An Interpretation of the Meaning of the Neuronal Design

no code implementations21 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.

Multi-version Tensor Completion for Time-delayed Spatio-temporal Data

no code implementations11 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.

Missing Elements

STELAR: Spatio-temporal Tensor Factorization with Latent Epidemiological Regularization

no code implementations8 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.

Learning Barrier Functions with Memory for Robust Safe Navigation

no code implementations3 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

SWIFT: Scalable Wasserstein Factorization for Sparse Nonnegative Tensors

no code implementations8 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.

On the Compression of Translation Operator Tensors in FMM-FFT-Accelerated SIE Simulators via Tensor Decompositions

no code implementations25 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.

Tensor Decomposition Translation

Model-aided Deep Neural Network for Source Number Detection

no code implementations29 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.

REP: Predicting the Time-Course of Drug Sensitivity

no code implementations27 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.

Drug Response Prediction

High-dimensional Gaussian graphical model for network-linked data

1 code implementation4 Jul 2019 Tianxi Li, Cheng Qian, Elizaveta Levina, Ji Zhu

Graphical models are commonly used to represent conditional dependence relationships between variables.

Vocal Bursts Intensity Prediction

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