b'Chen Zheng'

research

∙ 02/24/2023

Annotating Covert Hazardous Driving Scenarios Online: Utilizing Drivers' Electroencephalography (EEG) Signals

As autonomous driving systems prevail, it is becoming increasingly criti...

0 Chen Zheng, et al. ∙

research

∙ 02/16/2023

GLUECons: A Generic Benchmark for Learning Under Constraints

Recent research has shown that integrating domain knowledge into deep le...

0 Hossein Rajaby Faghihi, et al. ∙

research

∙ 11/24/2022

Cross Aggregation Transformer for Image Restoration

Recently, Transformer architecture has been introduced into image restor...

0 Chen Zheng, et al. ∙

research

∙ 10/27/2022

Point-Voxel Adaptive Feature Abstraction for Robust Point Cloud Classification

Great progress has been made in point cloud classification with learning...

0 Lifa Zhu, et al. ∙

research

∙ 09/20/2022

Dynamic Relevance Graph Network for Knowledge-Aware Question Answering

This work investigates the challenge of learning and reasoning for Commo...

0 Chen Zheng, et al. ∙

research

∙ 08/09/2022

Long-term Causal Effects Estimation via Latent Surrogates Representation Learning

Estimating long-term causal effects based on short-term surrogates is a ...

0 Ruichu Cai, et al. ∙

research

∙ 03/21/2022

Relevant CommonSense Subgraphs for "What if..." Procedural Reasoning

We study the challenge of learning causal reasoning over procedural text...

0 Chen Zheng, et al. ∙

research

∙ 03/21/2022

GCF: Generalized Causal Forest for Heterogeneous Treatment Effect Estimation in Online Marketplace

Uplift modeling is a rapidly growing approach that utilizes machine lear...

0 Shu Wan, et al. ∙

research

∙ 05/27/2021

Relational Gating for "What If" Reasoning

This paper addresses the challenge of learning to do procedural reasonin...

0 Chen Zheng, et al. ∙

research

∙ 10/07/2020

SRLGRN: Semantic Role Labeling Graph Reasoning Network

This work deals with the challenge of learning and reasoning over multi-...

0 Chen Zheng, et al. ∙

research

∙ 05/12/2020

Cross-Modality Relevance for Reasoning on Language and Vision

This work deals with the challenge of learning and reasoning over langua...

0 Chen Zheng, et al. ∙

research

∙ 08/06/2019

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

In edge computing scenarios, the distribution of data and collaboration ...

0 Tianshu Hao, et al. ∙

research

∙ 06/22/2019

RLTM: An Efficient Neural IR Framework for Long Documents

Deep neural networks have achieved significant improvements in informati...

0 Chen Zheng, et al. ∙

research

∙ 01/03/2019

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

Rapid growth of datacenter (DC) scale, urgency of cost control, increasi...

0 Chen Zheng, et al. ∙

research

∙ 10/31/2018

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

In this paper, we propose an enhanced quasi-maximum likelihood (EQML) de...

0 Peng Kang, et al. ∙

research

∙ 10/18/2018

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

For the architecture community, reasonable simulation time is a strong r...

0 Wanling Gao, et al. ∙

research

∙ 08/26/2018

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

The complexity and diversity of big data and AI workloads make understan...

0 Wanling Gao, et al. ∙

research

∙ 02/23/2018

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

Several fundamental changes in technology indicate domain-specific hardw...

0 Wanling Gao, et al. ∙

research

∙ 02/23/2018

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

As architecture, system, data management, and machine learning communiti...

0 Wanling Gao, et al. ∙

research

∙ 02/01/2018

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

The complexity and diversity of big data and AI workloads make understan...

0 Wanling Gao, et al. ∙

research

∙ 02/01/2018

Big Data Dwarfs: Towards Fully Understanding Big Data Analytics Workloads

Though the big data benchmark suites like BigDataBench and CloudSuite ha...

0 Wanling Gao, et al. ∙

research

∙ 11/14/2017

A Deep Learning Approach for Expert Identification in Question Answering Communities

In this paper, we describe an effective convolutional neural network fra...

0 Chen Zheng, et al. ∙

research

∙ 11/11/2017

Depth First Always On Routing Trace Algorithm

In this paper, we discussed current limitation in the electronic-design-...

0 Anthony Kim, et al. ∙

research

∙ 11/09/2017

A Dwarf-based Scalable Big Data Benchmarking Methodology

Different from the traditional benchmarking methodology that creates a n...

0 Wanling Gao, et al. ∙

research

∙ 11/08/2017

Machine Learning Based Fast Power Integrity Classifier

In this paper, we proposed a new machine learning based fast power integ...

0 HuaChun Zhang, et al. ∙

research

∙ 11/04/2017

Timing Aware Dummy Metal Fill Methodology

In this paper, we analyzed parasitic coupling capacitance coming from du...

0 Luis Charre, et al. ∙

research

∙ 11/01/2017

Non Uniform On Chip Power Delivery Network Synthesis Methodology

In this paper, we proposed a non-uniform power delivery network (PDN) sy...

0 Patrick Benediktsson, et al. ∙

research

∙ 10/28/2017

Customized Routing Optimization Based on Gradient Boost Regressor Model

In this paper, we discussed limitation of current electronic-design-auto...

0 Chen Zheng, et al. ∙

research

∙ 04/05/2016

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

This paper presents the "isolate first, then share" OS model in which th...

0 Gang Lu, et al. ∙

Chen Zheng

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