Ji Li | DeepAI

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Featured Co-authors

Jiawei Han
135 publications
Yanzhi Wang
122 publications
Xiang Ren
118 publications
Bo Yuan
70 publications
Hong Wang
63 publications
Caiwen Ding
60 publications
Bjoern Menze
58 publications
Xue Lin
57 publications
Hang Liu
52 publications
Hongwei Li
43 publications
Zhe Li
37 publications

∙ 01/26/2023

Planning Automated Driving with Accident Experience Referencing and Common-sense Inferencing

Although a typical autopilot system far surpasses humans in term of sens...

0 Shaobo Qiu, et al. ∙

∙ 01/28/2022

A Secure and Efficient Federated Learning Framework for NLP

In this work, we consider the problem of designing secure and efficient ...

0 Jieren Deng, et al. ∙

∙ 03/11/2021

TAG: Transformer Attack from Gradient

Although federated learning has increasingly gained attention in terms o...

0 Jieren Deng, et al. ∙

∙ 09/17/2020

Efficient Transformer-based Large Scale Language Representations using Hardware-friendly Block Structured Pruning

Pretrained large-scale language models have increasingly demonstrated hi...

0 Bingbing Li, et al. ∙

∙ 07/16/2020

FTRANS: Energy-Efficient Acceleration of Transformers using FPGA

In natural language processing (NLP), the "Transformer" architecture was...

0 Bingbing Li, et al. ∙

∙ 04/22/2020

Knot Morphing Algorithm for Quantum `Fragile Topology'

A knot theoretic algorithm is proposed to model `fragile topology' of qu...

0 Kirk E. Jordan, et al. ∙

∙ 12/20/2019

H2O-Cloud: A Resource and Quality of Service-Aware Task Scheduling Framework for Warehouse-Scale Data Centers – A Hierarchical Hybrid DRL (Deep Reinforcement Learning) based

Cloud computing has attracted both end-users and Cloud Service Providers...

0 Mingxi Cheng, et al. ∙

∙ 12/20/2019

H2O-Cloud: A Resource and Quality of Service-Aware Task Scheduling Framework for Warehouse-Scale Data Centers

Cloud computing has attracted both end-users and Cloud Service Providers...

0 Mingxi Cheng, et al. ∙

∙ 06/04/2018

Differential Diagnosis for Pancreatic Cysts in CT Scans Using Densely-Connected Convolutional Networks

The lethal nature of pancreatic ductal adenocarcinoma (PDAC) calls for e...

0 Hongwei Li, et al. ∙

∙ 05/10/2018

Towards Budget-Driven Hardware Optimization for Deep Convolutional Neural Networks using Stochastic Computing

Recently, Deep Convolutional Neural Network (DCNN) has achieved tremendo...

0 Zhe Li, et al. ∙

∙ 03/28/2018

Prediction-Based Fast Thermoelectric Generator Reconfiguration for Energy Harvesting from Vehicle Radiators

Thermoelectric generation (TEG) has increasingly drawn attention for bei...

0 Hanchen Yang, et al. ∙

∙ 10/30/2017

Indirect Supervision for Relation Extraction using Question-Answer Pairs

Automatic relation extraction (RE) for types of interest is of great imp...

0 Zeqiu Wu, et al. ∙

∙ 03/12/2017

Hardware-Driven Nonlinear Activation for Stochastic Computing Based Deep Convolutional Neural Networks

Recently, Deep Convolutional Neural Networks (DCNNs) have made unprecede...

0 Ji Li, et al. ∙

∙ 11/18/2016

SC-DCNN: Highly-Scalable Deep Convolutional Neural Network using Stochastic Computing

With recent advancing of Internet of Things (IoTs), it becomes very attr...

0 Ao Ren, et al. ∙

∙ 07/23/2012

Guarantees of Augmented Trace Norm Models in Tensor Recovery

This paper studies the recovery guarantees of the models of minimizing X...

0 Ziqiang Shi, et al. ∙