Cheng Qian | DeepAI

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Jie Zhou
349 publications
Fan Yang
225 publications
Zhiyuan Liu
209 publications
Maosong Sun
159 publications
Heng Ji
126 publications
Jimeng Sun
99 publications
Xu Han
93 publications
Cheng Yang
59 publications
Yankai Lin
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Zhen Zhang
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Cao Xiao
59 publications

∙ 09/15/2023

"Merge Conflicts!" Exploring the Impacts of External Distractors to Parametric Knowledge Graphs

Large language models (LLMs) acquire extensive knowledge during pre-trai...

0 Cheng Qian, et al. ∙

∙ 09/02/2023

Deep Reinforcement Learning in Surgical Robotics: Enhancing the Automation Level

Surgical robotics is a rapidly evolving field that is transforming the l...

0 Cheng Qian, et al. ∙

∙ 06/28/2023

The 2nd Place Solution for 2023 Waymo Open Sim Agents Challenge

In this technical report, we present the 2nd place solution of 2023 Waym...

0 Cheng Qian, et al. ∙

∙ 05/23/2023

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

Large Language Models (LLMs) have demonstrated significant progress in u...

0 Cheng Qian, et al. ∙

∙ 05/15/2023

Recyclable Tuning for Continual Pre-training

Continual pre-training is the paradigm where pre-trained language models...

0 Yujia Qin, et al. ∙

∙ 05/02/2023

DeCom: Deep Coupled-Factorization Machine for Post COVID-19 Respiratory Syncytial Virus Prediction with Nonpharmaceutical Interventions Awareness

Respiratory syncytial virus (RSV) is one of the most dangerous respirato...

0 Xinyan Li, et al. ∙

∙ 04/17/2023

Tool Learning with Foundation Models

Humans possess an extraordinary ability to create and utilize tools, all...

1 Yujia Qin, et al. ∙

∙ 01/16/2023

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

Out of Scope (OOS) detection in Conversational AI solutions enables a ch...

0 Cheng Qian, et al. ∙

∙ 10/25/2022

Exploring Mode Connectivity for Pre-trained Language Models

Recent years have witnessed the prevalent application of pre-trained lan...

0 Yujia Qin, et al. ∙

∙ 05/08/2022

GOCPT: Generalized Online Canonical Polyadic Tensor Factorization and Completion

Low-rank tensor factorization or completion is well-studied and applied ...

0 Chaoqi Yang, et al. ∙

∙ 04/13/2022

Clinical trial site matching with improved diversity using fair policy learning

The ongoing pandemic has highlighted the importance of reliable and effi...

0 Rakshith S Srinivasa, et al. ∙

∙ 01/31/2022

JULIA: Joint Multi-linear and Nonlinear Identification for Tensor Completion

Tensor completion aims at imputing missing entries from a partially obse...

0 Cheng Qian, et al. ∙

∙ 06/15/2021

Augmented Tensor Decomposition with Stochastic Optimization

Tensor decompositions are powerful tools for dimensionality reduction an...

0 Chaoqi Yang, et al. ∙

∙ 06/14/2021

MTC: Multiresolution Tensor Completion from Partial and Coarse Observations

Existing tensor completion formulation mostly relies on partial observat...

0 Chaoqi Yang, et al. ∙

∙ 05/21/2021

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

This document introduces a hypothesized framework on the functional natu...

0 Cheng Qian, et al. ∙

∙ 05/11/2021

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

Real-world spatio-temporal data is often incomplete or inaccurate due to...

0 Cheng Qian, et al. ∙

∙ 04/27/2021

SuperVoxHenry Tucker-Enhanced and FFT-Accelerated Inductance Extraction for Voxelized Superconducting Structures

This paper introduces SuperVoxHenry, an inductance extraction simulator ...

0 Mingyu Wang, et al. ∙

∙ 12/08/2020

STELAR: Spatio-temporal Tensor Factorization with Latent Epidemiological Regularization

Accurate prediction of the transmission of epidemic diseases such as COV...

0 Nikos Kargas, et al. ∙

∙ 11/03/2020

Learning Barrier Functions with Memory for Robust Safe Navigation

Control barrier functions are widely used to enforce safety properties i...

0 Kehan Long, et al. ∙

∙ 10/08/2020

SWIFT: Scalable Wasserstein Factorization for Sparse Nonnegative Tensors

Existing tensor factorization methods assume that the input tensor follo...

0 Ardavan Afshar, et al. ∙

∙ 09/25/2020

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

Tensor decomposition methodologies are proposed to reduce the memory req...

0 Cheng Qian, et al. ∙

∙ 04/02/2020

VoxCap: FFT-Accelerated and Tucker-Enhanced Capacitance Extraction Simulator for Voxelized Structures

VoxCap, a fast Fourier transform (FFT)-accelerated and Tucker-enhanced i...

0 Mingyu Wang, et al. ∙

∙ 09/29/2019

Model-aided Deep Neural Network for Source Number Detection

Source number detection is a critical problem in array signal processing...

0 Yuwen Yang, et al. ∙

∙ 09/23/2019

Gridless Angular Domain Channel Estimation for mmWave Massive MIMO System With One-Bit Quantization Via Approximate Message Passing

We develop a direction of arrival (DoA) and channel estimation algorithm...

0 Liangyuan Xu, et al. ∙

∙ 07/27/2019

REP: Predicting the Time-Course of Drug Sensitivity

The biological processes involved in a drug's mechanisms of action are o...

0 Cheng Qian, et al. ∙

∙ 07/04/2019

High-dimensional Gaussian graphical model for network-linked data

Graphical models are commonly used to represent conditional dependence r...

6 Tianxi Li, et al. ∙

∙ 10/29/2018

From Gene Expression to Drug Response: A Collaborative Filtering Approach

Predicting the response of cancer cells to drugs is an important problem...

1 Cheng Qian, et al. ∙

∙ 02/27/2018

Enabling Multiple Access for Non-Line-of-Sight Light-to-Camera Communications

Light-to-Camera Communication (LCC) has emerged as a new wireless commun...

0 Fan Yang, et al. ∙

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