Chen Zheng

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Binghamton University ∙ Michigan State University ∙ Baidu, Inc.

SRLGRN: Semantic Role Labeling Graph Reasoning Network

This work deals with the challenge of learning and reasoning over multi-...
10/07/2020 ∙ by Chen Zheng, et al. ∙ 0 ∙ share

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Cross-Modality Relevance for Reasoning on Language and Vision

This work deals with the challenge of learning and reasoning over langua...
05/12/2020 ∙ by Chen Zheng, et al. ∙ 0 ∙ share

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Edge AIBench: Towards Comprehensive End-to-end Edge Computing Benchmarking

In edge computing scenarios, the distribution of data and collaboration ...
08/06/2019 ∙ by Tianshu Hao, et al. ∙ 0 ∙ share

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RLTM: An Efficient Neural IR Framework for Long Documents

Deep neural networks have achieved significant improvements in informati...
06/22/2019 ∙ by Chen Zheng, et al. ∙ 0 ∙ share

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XOS: An Application-Defined Operating System for Data Center Servers

Rapid growth of datacenter (DC) scale, urgency of cost control, increasi...
01/03/2019 ∙ by Chen Zheng, et al. ∙ 0 ∙ share

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Enhanced Quasi-Maximum Likelihood Decoding of Short LDPC Codes based on Saturation

In this paper, we propose an enhanced quasi-maximum likelihood (EQML) de...
10/31/2018 ∙ by Peng Kang, et al. ∙ 0 ∙ share

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Data Motif-based Proxy Benchmarks for Big Data and AI Workloads

For the architecture community, reasonable simulation time is a strong r...
10/18/2018 ∙ by Wanling Gao, et al. ∙ 0 ∙ share

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Data Motifs: A Lens Towards Fully Understanding Big Data and AI Workloads

The complexity and diversity of big data and AI workloads make understan...
08/26/2018 ∙ by Wanling Gao, et al. ∙ 0 ∙ share

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BigDataBench: A Scalable and Unified Big Data and AI Benchmark Suite

Several fundamental changes in technology indicate domain-specific hardw...
02/23/2018 ∙ by Wanling Gao, et al. ∙ 0 ∙ share

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BigDataBench: A Dwarf-based Big Data and AI Benchmark Suite

As architecture, system, data management, and machine learning communiti...
02/23/2018 ∙ by Wanling Gao, et al. ∙ 0 ∙ share

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Data Dwarfs: A Lens Towards Fully Understanding Big Data and AI Workloads

The complexity and diversity of big data and AI workloads make understan...
02/01/2018 ∙ by Wanling Gao, et al. ∙ 0 ∙ share

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Big Data Dwarfs: Towards Fully Understanding Big Data Analytics Workloads

Though the big data benchmark suites like BigDataBench and CloudSuite ha...
02/01/2018 ∙ by Wanling Gao, et al. ∙ 0 ∙ share

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A Deep Learning Approach for Expert Identification in Question Answering Communities

In this paper, we describe an effective convolutional neural network fra...
11/14/2017 ∙ by Chen Zheng, et al. ∙ 0 ∙ share

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Depth First Always On Routing Trace Algorithm

In this paper, we discussed current limitation in the electronic-design-...
11/11/2017 ∙ by Anthony Kim, et al. ∙ 0 ∙ share

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A Dwarf-based Scalable Big Data Benchmarking Methodology

Different from the traditional benchmarking methodology that creates a n...
11/09/2017 ∙ by Wanling Gao, et al. ∙ 0 ∙ share

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Machine Learning Based Fast Power Integrity Classifier

In this paper, we proposed a new machine learning based fast power integ...
11/08/2017 ∙ by HuaChun Zhang, et al. ∙ 0 ∙ share

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Timing Aware Dummy Metal Fill Methodology

In this paper, we analyzed parasitic coupling capacitance coming from du...
11/04/2017 ∙ by Luis Charre, et al. ∙ 0 ∙ share

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Non Uniform On Chip Power Delivery Network Synthesis Methodology

In this paper, we proposed a non-uniform power delivery network (PDN) sy...
11/01/2017 ∙ by Patrick Benediktsson, et al. ∙ 0 ∙ share

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Customized Routing Optimization Based on Gradient Boost Regressor Model

In this paper, we discussed limitation of current electronic-design-auto...
10/28/2017 ∙ by Chen Zheng, et al. ∙ 0 ∙ share

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Isolate First, Then Share: a New OS Architecture for Datacenter Computing

This paper presents the "isolate first, then share" OS model in which th...
04/05/2016 ∙ by Gang Lu, et al. ∙ 0 ∙ share

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Chen Zheng

Featured Co-authors

Lei Wang

Yu Sun

Fan Zhang

Qiang Yang

Lei Yang

Jinhong Yuan

Zhongfei Zhang

Jianfeng Zhan

Chunjie Luo

Wanling Gao

Rui Ren

SRLGRN: Semantic Role Labeling Graph Reasoning Network

Cross-Modality Relevance for Reasoning on Language and Vision

Edge AIBench: Towards Comprehensive End-to-end Edge Computing Benchmarking

RLTM: An Efficient Neural IR Framework for Long Documents

XOS: An Application-Defined Operating System for Data Center Servers

Enhanced Quasi-Maximum Likelihood Decoding of Short LDPC Codes based on Saturation

Data Motif-based Proxy Benchmarks for Big Data and AI Workloads

Data Motifs: A Lens Towards Fully Understanding Big Data and AI Workloads

BigDataBench: A Scalable and Unified Big Data and AI Benchmark Suite

BigDataBench: A Dwarf-based Big Data and AI Benchmark Suite

Data Dwarfs: A Lens Towards Fully Understanding Big Data and AI Workloads

Big Data Dwarfs: Towards Fully Understanding Big Data Analytics Workloads

A Deep Learning Approach for Expert Identification in Question Answering Communities

Depth First Always On Routing Trace Algorithm

A Dwarf-based Scalable Big Data Benchmarking Methodology

Machine Learning Based Fast Power Integrity Classifier

Timing Aware Dummy Metal Fill Methodology

Non Uniform On Chip Power Delivery Network Synthesis Methodology

Customized Routing Optimization Based on Gradient Boost Regressor Model

Isolate First, Then Share: a New OS Architecture for Datacenter Computing