Qian Liu

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University of Technology Sydney ∙ Beihang University ∙ Microsoft ∙ University of North Carolina at Chapel Hill

Deep Learning based Efficient Symbol-Level Precoding Design for MU-MISO Systems

The recently emerged symbol-level precoding (SLP) technique has been reg...
04/20/2021 ∙ by Zhu Bo, et al. ∙ 0 ∙ share

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"What Do You Mean by That?" A Parser-Independent Interactive Approach for Enhancing Text-to-SQL

In Natural Language Interfaces to Databases systems, the text-to-SQL tec...
11/09/2020 ∙ by Yuntao Li, et al. ∙ 0 ∙ share

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Incomplete Utterance Rewriting as Semantic Segmentation

Recent years the task of incomplete utterance rewriting has raised a lar...
09/28/2020 ∙ by Qian Liu, et al. ∙ 0 ∙ share

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Compositional Generalization by Learning Analytical Expressions

Compositional generalization is a basic but essential intellective capab...
06/18/2020 ∙ by Qian Liu, et al. ∙ 0 ∙ share

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A Pairwise Probe for Understanding BERT Fine-Tuning on Machine Reading Comprehension

Pre-trained models have brought significant improvements to many NLP tas...
06/02/2020 ∙ by Jie Cai, et al. ∙ 0 ∙ share

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You Impress Me: Dialogue Generation via Mutual Persona Perception

Despite the continuing efforts to improve the engagingness and consisten...
04/11/2020 ∙ by Qian Liu, et al. ∙ 6 ∙ share

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CTM: Collaborative Temporal Modeling for Action Recognition

With the rapid development of digital multimedia, video understanding ha...
02/08/2020 ∙ by Qian Liu, et al. ∙ 1 ∙ share

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iqiyi Submission to ActivityNet Challenge 2019 Kinetics-700 challenge: Hierarchical Group-wise Attention

In this report, the method for the iqiyi submission to the task of Activ...
02/07/2020 ∙ by Qian Liu, et al. ∙ 10 ∙ share

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How Far are We from Effective Context Modeling ? An Exploratory Study on Semantic Parsing in Context

Recently semantic parsing in context has received a considerable attenti...
02/03/2020 ∙ by Qian Liu, et al. ∙ 0 ∙ share

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Optimizing the energy consumption of spiking neural networks for neuromorphic applications

In the last few years, spiking neural networks have been demonstrated to...
12/03/2019 ∙ by Martino Sorbaro, et al. ∙ 0 ∙ share

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A Split-and-Recombine Approach for Follow-up Query Analysis

Context-dependent semantic parsing has proven to be an important yet cha...
09/19/2019 ∙ by Qian Liu, et al. ∙ 5 ∙ share

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FANDA: A Novel Approach to Perform Follow-up Query Analysis

Recent work on Natural Language Interfaces to Databases (NLIDB) has attr...
01/24/2019 ∙ by Qian Liu, et al. ∙ 8 ∙ share

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A Hardware-Efficient Hybrid Beamforming Solution for mmWave MIMO Systems

In millimeter wave (mmWave) communication systems, existing hybrid beamf...
12/12/2018 ∙ by Ming Li, et al. ∙ 0 ∙ share

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Noisy Softplus: an activation function that enables SNNs to be trained as ANNs

We extended the work of proposed activation function, Noisy Softplus, to...
03/31/2017 ∙ by Qian Liu, et al. ∙ 0 ∙ share

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Biclustering Via Sparse Clustering

In many situations it is desirable to identify clusters that differ with...
07/11/2014 ∙ by Qian Liu, et al. ∙ 0 ∙ share

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Qian Liu

Featured Co-authors

Yan Zhang

Ming Li

Tao Wang

Jie Liu

Nanning Zheng

Dongmei Zhang

Michael R. Kosorok

Bei Chen

Bin Zhou

Jian-Guang Lou

Nan Ding

Deep Learning based Efficient Symbol-Level Precoding Design for MU-MISO Systems

"What Do You Mean by That?" A Parser-Independent Interactive Approach for Enhancing Text-to-SQL

Incomplete Utterance Rewriting as Semantic Segmentation

Compositional Generalization by Learning Analytical Expressions

A Pairwise Probe for Understanding BERT Fine-Tuning on Machine Reading Comprehension

You Impress Me: Dialogue Generation via Mutual Persona Perception

CTM: Collaborative Temporal Modeling for Action Recognition

iqiyi Submission to ActivityNet Challenge 2019 Kinetics-700 challenge: Hierarchical Group-wise Attention

How Far are We from Effective Context Modeling ? An Exploratory Study on Semantic Parsing in Context

Optimizing the energy consumption of spiking neural networks for neuromorphic applications

A Split-and-Recombine Approach for Follow-up Query Analysis

FANDA: A Novel Approach to Perform Follow-up Query Analysis

A Hardware-Efficient Hybrid Beamforming Solution for mmWave MIMO Systems

Noisy Softplus: an activation function that enables SNNs to be trained as ANNs

Biclustering Via Sparse Clustering