b'Yiming Chen'

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Wei Wang
492 publications
Yong Liu
227 publications
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195 publications
Bin Wang
167 publications
Haizhou Li
150 publications
Wei Yang
121 publications
Chen Zhang
118 publications
Cong Liu
76 publications
Ming Zhang
73 publications
Wotao Yin
63 publications
Zhi Li
60 publications

research

∙ 08/18/2023

Rethinking Image Forgery Detection via Contrastive Learning and Unsupervised Clustering

Image forgery detection aims to detect and locate forged regions in an i...

0 Haiwei Wu, et al. ∙

research

∙ 07/06/2023

TL-nvSRAM-CIM: Ultra-High-Density Three-Level ReRAM-Assisted Computing-in-nvSRAM with DC-Power Free Restore and Ternary MAC Operations

Accommodating all the weights on-chip for large-scale NNs remains a grea...

0 Dengfeng Wang, et al. ∙

research

∙ 05/20/2023

Dynamic Transformers Provide a False Sense of Efficiency

Despite much success in natural language processing (NLP), pre-trained l...

0 Yiming Chen, et al. ∙

research

∙ 05/12/2023

Lower Bounds and Accelerated Algorithms in Distributed Stochastic Optimization with Communication Compression

Communication compression is an essential strategy for alleviating commu...

0 Yutong He, et al. ∙

research

∙ 03/21/2023

Effective Ambiguity Attack Against Passport-based DNN Intellectual Property Protection Schemes through Fully Connected Layer Substitution

Since training a deep neural network (DNN) is costly, the well-trained d...

0 Yiming Chen, et al. ∙

research

∙ 11/23/2022

A 65nm 8b-Activation 8b-Weight SRAM-Based Charge-Domain Computing-in-Memory Macro Using A Fully-Parallel Analog Adder Network and A Single-ADC Interface

Performing data-intensive tasks in the von Neumann architecture is chall...

0 Guodong Yin, et al. ∙

research

∙ 10/31/2022

SEVGGNet-LSTM: a fused deep learning model for ECG classification

This paper presents a fused deep learning algorithm for ECG classificati...

0 Tongyue He, et al. ∙

research

∙ 10/30/2022

Generate, Discriminate and Contrast: A Semi-Supervised Sentence Representation Learning Framework

Most sentence embedding techniques heavily rely on expensive human-annot...

0 Yiming Chen, et al. ∙

research

∙ 10/21/2022

Analyzing and Evaluating Faithfulness in Dialogue Summarization

Dialogue summarization is abstractive in nature, making it suffer from f...

0 Bin Wang, et al. ∙

research

∙ 10/14/2022

Revisiting Optimal Convergence Rate for Smooth and Non-convex Stochastic Decentralized Optimization

Decentralized optimization is effective to save communication in large-s...

0 Kun Yuan, et al. ∙

research

∙ 08/18/2022

GRAPHIC: GatheR-And-Process in Highly parallel with In-SSD Compression Architecture in Very Large-Scale Graph

Graph convolutional network (GCN), an emerging algorithm for graph compu...

0 Yiming Chen, et al. ∙

research

∙ 06/08/2022

Lower Bounds and Nearly Optimal Algorithms in Distributed Learning with Communication Compression

Recent advances in distributed optimization and learning have shown that...

0 Xinmeng Huang, et al. ∙

research

∙ 06/01/2022

YOLoC: DeploY Large-Scale Neural Network by ROM-based Computing-in-Memory using ResiduaL Branch on a Chip

Computing-in-memory (CiM) is a promising technique to achieve high energ...

0 Yiming Chen, et al. ∙

research

∙ 05/23/2022

FAST: A Fully-Concurrent Access Technique to All SRAM Rows for Enhanced Speed and Energy Efficiency in Data-Intensive Applications

Compute-in-memory (CiM) is a promising approach to improving the computi...

0 Yiming Chen, et al. ∙

research

∙ 11/08/2021

BlueFog: Make Decentralized Algorithms Practical for Optimization and Deep Learning

Decentralized algorithm is a form of computation that achieves a global ...

25 Bicheng Ying, et al. ∙

research

∙ 10/26/2021

Exponential Graph is Provably Efficient for Decentralized Deep Training

Decentralized SGD is an emerging training method for deep learning known...

7 Bicheng Ying, et al. ∙

research

∙ 10/05/2021

Investigating the Impact of Pre-trained Language Models on Dialog Evaluation

Recently, there is a surge of interest in applying pre-trained language ...

7 Chen Zhang, et al. ∙

research

∙ 10/04/2021

Revisiting Self-Training for Few-Shot Learning of Language Model

As unlabeled data carry rich task-relevant information, they are proven ...

0 Yiming Chen, et al. ∙

research

∙ 08/11/2021

Road Mapping and Localization using Sparse Semantic Visual Features

We present a novel method for visual mapping and localization for autono...

0 Wentao Cheng, et al. ∙

research

∙ 07/23/2021

Bias Loss for Mobile Neural Networks

Compact convolutional neural networks (CNNs) have witnessed exceptional ...

0 Lusine Abrahamyan, et al. ∙

research

∙ 06/02/2021

DynaEval: Unifying Turn and Dialogue Level Evaluation

A dialogue is essentially a multi-turn interaction among interlocutors. ...

5 Chen Zhang, et al. ∙

research

∙ 05/19/2021

Accelerating Gossip SGD with Periodic Global Averaging

Communication overhead hinders the scalability of large-scale distribute...

7 Yiming Chen, et al. ∙

research

∙ 04/24/2021

DecentLaM: Decentralized Momentum SGD for Large-batch Deep Training

The scale of deep learning nowadays calls for efficient distributed trai...

20 Kun Yuan, et al. ∙

research

∙ 03/26/2021

IMU Data Processing For Inertial Aided Navigation: A Recurrent Neural Network Based Approach

In this work, we propose a novel method for performing inertial aided na...

0 Ming Zhang, et al. ∙

research

∙ 03/16/2021

Learned Gradient Compression for Distributed Deep Learning

Training deep neural networks on large datasets containing high-dimensio...

0 Lusine Abrahamyan, et al. ∙

research

∙ 06/08/2020

Kinematics Based Visual Localization for Skid-Steering Robots: Algorithm and Theory

In recent years, the volume of the commercial mobile robot market has be...

0 Xingxing Zuo, et al. ∙

research

∙ 11/13/2019

Visual-Inertial Localization for Skid-Steering Robots with Kinematic Constraints

While visual localization or SLAM has witnessed great progress in past d...

0 Xingxing Zuo, et al. ∙

research

∙ 09/11/2019

A Lightweight and Accurate Localization Algorithm Using Multiple Inertial Measurement Units

In this paper, a lightweight and accurate localization algorithm is prop...

0 Ming Zhang, et al. ∙

research

∙ 09/08/2019

Localization for Ground Robots: On Manifold Representation, Integration, Re-Parameterization, and Optimization

In this paper, we focus on localizing ground robots, by probabilisticall...

22 Mingming Zhang, et al. ∙

research

∙ 04/22/2019

FoxNet: A Multi-face Alignment Method

Multi-face alignment aims to identify geometry structures of multiple hu...

0 Yuxiang WU, et al. ∙

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