Yiran Chen

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Duke University ∙ Facebook ∙ University of Pittsburgh

Associate Professor, Co-director of Duke Center for Evolutionary Intelligence at Duke University since 2017, Associate Professor, Bicentennial Alumni Faculty Fellow at University of Pittsburgh since 2014, Assistant Professor at University of Pittsburgh from 2010-2014, Staff Engineer at Seagate LLC from 2007-2010, Sr. R&D Engineer I at Synopsys from 2005-2007, Research Assistant at Purdue University from 2001-2005, Intern Engineer at Micron Technology 2003, Intern Engineer at Micron Technology 2002, Ph.D. Electrical and Computer Engineering at Purdue University 2001-2005.

Featured Co-authors

Lawrence Carin
167 publications
Xin Li
144 publications
Yu Wang
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Xin Liu
102 publications
Xuanjing Huang
77 publications
Ang Li
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Xipeng Qiu
76 publications
Xin Chen
70 publications
Di Wang
63 publications
Pan Zhou
59 publications
Xiang Chen
58 publications

Enhancing Scientific Papers Summarization with Citation Graph

Previous work for text summarization in scientific domain mainly focused...
04/07/2021 ∙ by Chenxin An, et al. ∙ 0 ∙ share

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FedGP: Correlation-Based Active Client Selection for Heterogeneous Federated Learning

Client-wise heterogeneity is one of the major issues that hinder effecti...
03/24/2021 ∙ by Minxue Tang, et al. ∙ 0 ∙ share

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Can Targeted Adversarial Examples Transfer When the Source and Target Models Have No Label Space Overlap?

We design blackbox transfer-based targeted adversarial attacks for an en...
03/17/2021 ∙ by Nathan Inkawhich, et al. ∙ 0 ∙ share

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The Untapped Potential of Off-the-Shelf Convolutional Neural Networks

Over recent years, a myriad of novel convolutional network architectures...
03/17/2021 ∙ by Matthew Inkawhich, et al. ∙ 13 ∙ share

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BSQ: Exploring Bit-Level Sparsity for Mixed-Precision Neural Network Quantization

Mixed-precision quantization can potentially achieve the optimal tradeof...
02/20/2021 ∙ by Huanrui Yang, et al. ∙ 0 ∙ share

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On Provable Backdoor Defense in Collaborative Learning

As collaborative learning allows joint training of a model using multipl...
01/19/2021 ∙ by Ximing Qiao, et al. ∙ 0 ∙ share

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Hermes: Decentralized Dynamic Spectrum Access System for Massive Devices Deployment in 5G

With the incoming 5G network, the ubiquitous Internet of Things (IoT) de...
01/08/2021 ∙ by Zhihui Gao, et al. ∙ 0 ∙ share

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Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective

Federated learning (FL) is a popular distributed learning framework that...
12/08/2020 ∙ by Jingwei Sun, et al. ∙ 0 ∙ share

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GraphFL: A Federated Learning Framework for Semi-Supervised Node Classification on Graphs

Graph-based semi-supervised node classification (GraphSSC) has wide appl...
12/08/2020 ∙ by Binghui Wang, et al. ∙ 0 ∙ share

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Automatic Routability Predictor Development Using Neural Architecture Search

The rise of machine learning technology inspires a boom of its applicati...
12/03/2020 ∙ by Jingyu Pan, et al. ∙ 0 ∙ share

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ScaleNAS: One-Shot Learning of Scale-Aware Representations for Visual Recognition

Scale variance among different sizes of body parts and objects is a chal...
11/30/2020 ∙ by Hsin-Pai Cheng, et al. ∙ 0 ∙ share

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Net2: A Graph Attention Network Method Customized for Pre-Placement Net Length Estimation

Net length is a key proxy metric for optimizing timing and power across ...
11/27/2020 ∙ by Zhiyao Xie, et al. ∙ 0 ∙ share

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PowerNet: Transferable Dynamic IR Drop Estimation via Maximum Convolutional Neural Network

IR drop is a fundamental constraint required by almost all chip designs....
11/26/2020 ∙ by Zhiyao Xie, et al. ∙ 0 ∙ share

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FIST: A Feature-Importance Sampling and Tree-Based Method for Automatic Design Flow Parameter Tuning

Design flow parameters are of utmost importance to chip design quality a...
11/26/2020 ∙ by Zhiyao Xie, et al. ∙ 0 ∙ share

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Fast IR Drop Estimation with Machine Learning

IR drop constraint is a fundamental requirement enforced in almost all c...
11/26/2020 ∙ by Zhiyao Xie, et al. ∙ 0 ∙ share

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Towards Latency-aware DNN Optimization with GPU Runtime Analysis and Tail Effect Elimination

Despite the superb performance of State-Of-The-Art (SOTA) DNNs, the incr...
11/08/2020 ∙ by Fuxun Yu, et al. ∙ 0 ∙ share

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Low-Cost Floating-Point Processing in ReRAM for Scientific Computing

We propose ReFloat, a principled approach for low-cost floating-point pr...
11/06/2020 ∙ by Linghao Song, et al. ∙ 0 ∙ share

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CDEvalSumm: An Empirical Study of Cross-Dataset Evaluation for Neural Summarization Systems

Neural network-based models augmented with unsupervised pre-trained know...
10/11/2020 ∙ by Yiran Chen, et al. ∙ 0 ∙ share

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Evasion Attacks to Graph Neural Networks via Influence Function

Graph neural networks (GNNs) have achieved state-of-the-art performance ...
09/01/2020 ∙ by Binghui Wang, et al. ∙ 0 ∙ share

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Reinforcement Learning-based Black-Box Evasion Attacks to Link Prediction in Dynamic Graphs

Link prediction in dynamic graphs (LPDG) is an important research proble...
09/01/2020 ∙ by Houxiang Fan, et al. ∙ 4 ∙ share

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LotteryFL: Personalized and Communication-Efficient Federated Learning with Lottery Ticket Hypothesis on Non-IID Datasets

Federated learning is a popular distributed machine learning paradigm wi...
08/07/2020 ∙ by Ang Li, et al. ∙ 12 ∙ share

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SparseTrain: Exploiting Dataflow Sparsity for Efficient Convolutional Neural Networks Training

Training Convolutional Neural Networks (CNNs) usually requires a large n...
07/21/2020 ∙ by Pengcheng Dai, et al. ∙ 0 ∙ share

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NASGEM: Neural Architecture Search via Graph Embedding Method

Neural Architecture Search (NAS) automates and prospers the design of ne...
07/08/2020 ∙ by Hsin-Pai Cheng, et al. ∙ 0 ∙ share

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Defending against GAN-based Deepfake Attacks via Transformation-aware Adversarial Faces

Deepfake represents a category of face-swapping attacks that leverage ma...
06/12/2020 ∙ by Chaofei Yang, et al. ∙ 0 ∙ share

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MVStylizer: An Efficient Edge-Assisted Video Photorealistic Style Transfer System for Mobile Phones

Recent research has made great progress in realizing neural style transf...
05/24/2020 ∙ by Ang Li, et al. ∙ 3 ∙ share

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TIPRDC: Task-Independent Privacy-Respecting Data Crowdsourcing Framework with Anonymized Intermediate Representations

The success of deep learning partially benefits from the availability of...
05/23/2020 ∙ by Ang Li, et al. ∙ 3 ∙ share

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PENNI: Pruned Kernel Sharing for Efficient CNN Inference

Although state-of-the-art (SOTA) CNNs achieve outstanding performance on...
05/14/2020 ∙ by Shiyu Li, et al. ∙ 0 ∙ share

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TRP: Trained Rank Pruning for Efficient Deep Neural Networks

To enable DNNs on edge devices like mobile phones, low-rank approximatio...
04/30/2020 ∙ by Yuhui Xu, et al. ∙ 8 ∙ share

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Perturbing Across the Feature Hierarchy to Improve Standard and Strict Blackbox Attack Transferability

We consider the blackbox transfer-based targeted adversarial attack thre...
04/29/2020 ∙ by Nathan Inkawhich, et al. ∙ 0 ∙ share

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Transferable Perturbations of Deep Feature Distributions

Almost all current adversarial attacks of CNN classifiers rely on inform...
04/27/2020 ∙ by Nathan Inkawhich, et al. ∙ 0 ∙ share

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Learning Low-rank Deep Neural Networks via Singular Vector Orthogonality Regularization and Singular Value Sparsification

Modern deep neural networks (DNNs) often require high memory consumption...
04/20/2020 ∙ by Huanrui Yang, et al. ∙ 10 ∙ share

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Extractive Summarization as Text Matching

This paper creates a paradigm shift with regard to the way we build neur...
04/19/2020 ∙ by Ming Zhong, et al. ∙ 0 ∙ share

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Neural Predictor for Neural Architecture Search

Neural Architecture Search methods are effective but often use complex a...
12/02/2019 ∙ by Wei Wen, et al. ∙ 0 ∙ share

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AutoShrink: A Topology-aware NAS for Discovering Efficient Neural Architecture

Resource is an important constraint when deploying Deep Neural Networks ...
11/21/2019 ∙ by Tunhou Zhang, et al. ∙ 0 ∙ share

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Structural sparsification for Far-field Speaker Recognition with GNA

Recently, deep neural networks (DNN) have been widely used in speaker re...
10/25/2019 ∙ by Jingchi Zhang, et al. ∙ 0 ∙ share

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Traned Rank Pruning for Efficient Deep Neural Networks

To accelerate DNNs inference, low-rank approximation has been widely ado...
10/09/2019 ∙ by Yuhui Xu, et al. ∙ 0 ∙ share

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Conditional Transferring Features: Scaling GANs to Thousands of Classes with 30

Generative adversarial network (GAN) has greatly improved the quality of...
09/25/2019 ∙ by Chunpeng Wu, et al. ∙ 0 ∙ share

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Towards Efficient and Secure Delivery of Data for Deep Learning with Privacy-Preserving

Privacy recently emerges as a severe concern in deep learning, that is, ...
09/17/2019 ∙ by Juncheng Shen, et al. ∙ 0 ∙ share

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DeepObfuscator: Adversarial Training Framework for Privacy-Preserving Image Classification

Deep learning has been widely utilized in many computer vision applicati...
09/09/2019 ∙ by Ang Li, et al. ∙ 21 ∙ share

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Accelerating CNN Training by Sparsifying Activation Gradients

Gradients to activations get involved in most of the calculations during...
08/01/2019 ∙ by Xucheng Ye, et al. ∙ 1 ∙ share

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RED: A ReRAM-based Deconvolution Accelerator

Deconvolution has been widespread in neural networks. For example, it is...
07/05/2019 ∙ by Zichen Fan, et al. ∙ 0 ∙ share

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SwiftNet: Using Graph Propagation as Meta-knowledge to Search Highly Representative Neural Architectures

Designing neural architectures for edge devices is subject to constraint...
06/19/2019 ∙ by Hsin-Pai, et al. ∙ 0 ∙ share

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Thread Batching for High-performance Energy-efficient GPU Memory Design

Massive multi-threading in GPU imposes tremendous pressure on memory sub...
06/13/2019 ∙ by Bing Li, et al. ∙ 0 ∙ share

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eSLAM: An Energy-Efficient Accelerator for Real-Time ORB-SLAM on FPGA Platform

Simultaneous Localization and Mapping (SLAM) is a critical task for auto...
06/03/2019 ∙ by Runze Liu, et al. ∙ 0 ∙ share

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Snooping Attacks on Deep Reinforcement Learning

Adversarial attacks have exposed a significant security vulnerability in...
05/28/2019 ∙ by Matthew Inkawhich, et al. ∙ 0 ∙ share

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Low-Power Computer Vision: Status, Challenges, Opportunities

Computer vision has achieved impressive progress in recent years. Meanwh...
04/15/2019 ∙ by Sergei Alyamkin, et al. ∙ 16 ∙ share

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Low Power Inference for On-Device Visual Recognition with a Quantization-Friendly Solution

The IEEE Low-Power Image Recognition Challenge (LPIRC) is an annual comp...
03/12/2019 ∙ by Chen Feng, et al. ∙ 6 ∙ share

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SPINBIS: Spintronics based Bayesian Inference System with Stochastic Computing

Bayesian inference is an effective approach for solving statistical lear...
02/19/2019 ∙ by Xiaotao Jia, et al. ∙ 0 ∙ share

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HyPar: Towards Hybrid Parallelism for Deep Learning Accelerator Array

With the rise of artificial intelligence in recent years, Deep Neural Ne...
01/07/2019 ∙ by Linghao Song, et al. ∙ 0 ∙ share

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Towards Leveraging the Information of Gradients in Optimization-based Adversarial Attack

In recent years, deep neural networks demonstrated state-of-the-art perf...
12/06/2018 ∙ by Jingyang Zhang, et al. ∙ 0 ∙ share

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