b'Chao Li'

research

∙ 07/27/2022

Spatiotemporal Self-attention Modeling with Temporal Patch Shift for Action Recognition

Transformer-based methods have recently achieved great advancement on 2D...

Wangmeng Xiang, et al. ∙

research

∙ 07/09/2022

Snipper: A Spatiotemporal Transformer for Simultaneous Multi-Person 3D Pose Estimation Tracking and Forecasting on a Video Snippet

Multi-person pose understanding from RGB videos includes three complex t...

Shihao Zou, et al. ∙

research

∙ 06/29/2022

SALO: An Efficient Spatial Accelerator Enabling Hybrid Sparse Attention Mechanisms for Long Sequences

The attention mechanisms of transformers effectively extract pertinent i...

Guan Shen, et al. ∙

research

∙ 06/15/2022

SP-ViT: Learning 2D Spatial Priors for Vision Transformers

Recently, transformers have shown great potential in image classificatio...

Yuxuan Zhou, et al. ∙

research

∙ 06/14/2022

Permutation Search of Tensor Network Structures via Local Sampling

Recent works put much effort into tensor network structure search (TN-SS...

Chao Li, et al. ∙

research

∙ 04/27/2022

Gleo-Det: Deep Convolution Feature-Guided Detector with Local Entropy Optimization for Salient Points

Feature detection is an important procedure for image matching, where un...

Chao Li, et al. ∙

research

∙ 04/10/2022

Enhancing the Robustness, Efficiency, and Diversity of Differentiable Architecture Search

Differentiable architecture search (DARTS) has attracted much attention ...

Chao Li, et al. ∙

research

∙ 03/21/2022

Multi-modal learning for predicting the genotype of glioma

The isocitrate dehydrogenase (IDH) gene mutation is an essential biomark...

Yiran Wei, et al. ∙

research

∙ 03/17/2022

Type-Driven Multi-Turn Corrections for Grammatical Error Correction

Grammatical Error Correction (GEC) aims to automatically detect and corr...

Shaopeng Lai, et al. ∙

research

∙ 03/08/2022

Predicting conversion of mild cognitive impairment to Alzheimer's disease

Alzheimer's disease (AD) is the most common age-related dementia. Mild c...

Yiran Wei, et al. ∙

research

∙ 03/08/2022

Mutual Contrastive Learning to Disentangle Whole Slide Image Representations for Glioma Grading

Whole slide images (WSI) provide valuable phenotypic information for his...

Lipei Zhang, et al. ∙

research

∙ 03/07/2022

Searching for Robust Neural Architectures via Comprehensive and Reliable Evaluation

Neural architecture search (NAS) could help search for robust network ar...

Jialiang Sun, et al. ∙

research

∙ 03/04/2022

Transformations in Learned Image Compression from a Modulation Perspective

In this paper, a unified transformation method in learned image compress...

Youneng Bao, et al. ∙

research

∙ 03/02/2022

The Past Mistake is the Future Wisdom: Error-driven Contrastive Probability Optimization for Chinese Spell Checking

Chinese Spell Checking (CSC) aims to detect and correct Chinese spelling...

Yinghui Li, et al. ∙

research

∙ 02/25/2022

On The Design of a Light-weight FPGA Programming Framework for Graph Applications

FPGA accelerators designed for graph processing are gaining popularity. ...

Jing Wang, et al. ∙

research

∙ 02/09/2022

Exploring Structural Sparsity in Neural Image Compression

Neural image compression have reached or out-performed traditional metho...

Shanzhi Yin, et al. ∙

research

∙ 01/25/2022

Characterizations and constructions of n-to-1 mappings over finite fields

n-to-1 mappings have wide applications in many areas, especially in cryp...

Tailin Niu, et al. ∙

research

∙ 01/17/2022

VELTAIR: Towards High-Performance Multi-tenant Deep Learning Services via Adaptive Compilation and Scheduling

Deep learning (DL) models have achieved great success in many applicatio...

Zihan Liu, et al. ∙

research

∙ 01/14/2022

Collaborative learning of images and geometrics for predicting isocitrate dehydrogenase status of glioma

The isocitrate dehydrogenase (IDH) gene mutation status is an important ...

Yiran Wei, et al. ∙

research

∙ 01/11/2022

Improved Neural Distinguishers with (Related-key) Differentials: Applications in SIMON and SIMECK

In CRYPTO 2019, Gohr made a pioneering attempt, and successfully applied...

Jinyu Lu, et al. ∙

research

∙ 11/18/2021

Universal Efficient Variable-rate Neural Image Compression

Recently, Learning-based image compression has reached comparable perfor...

Shanzhi Yin, et al. ∙

research

∙ 11/11/2021

Towards Robust Knowledge Graph Embedding via Multi-task Reinforcement Learning

Nowadays, Knowledge graphs (KGs) have been playing a pivotal role in AI-...

Zhao Zhang, et al. ∙

research

∙ 10/16/2021

Seeking Patterns, Not just Memorizing Procedures: Contrastive Learning for Solving Math Word Problems

Math Word Problem (MWP) solving needs to discover the quantitative relat...

Zhongli Li, et al. ∙

research

∙ 10/15/2021

Adversarial Attacks on ML Defense Models Competition

Due to the vulnerability of deep neural networks (DNNs) to adversarial e...

Yinpeng Dong, et al. ∙

research

∙ 09/04/2021

Predicting isocitrate dehydrogenase mutation status in glioma using structural brain networks and graph neural networks

Glioma is a common malignant brain tumor with distinct survival among pa...

Yiran Wei, et al. ∙

research

∙ 08/21/2021

Adaptive unsupervised learning with enhanced feature representation for intra-tumor partitioning and survival prediction for glioblastoma

Glioblastoma is profoundly heterogeneous in regional microstructure and ...

Yifan Li, et al. ∙

research

∙ 08/21/2021

L3C-Stereo: Lossless Compression for Stereo Images

A large number of autonomous driving tasks need high-definition stereo i...

Zihao Huang, et al. ∙

research

∙ 08/13/2021

A Distributed SGD Algorithm with Global Sketching for Deep Learning Training Acceleration

Distributed training is an effective way to accelerate the training proc...

LingFei Dai, et al. ∙

research

∙ 08/11/2021

A Channel-Aware Routing Protocol With Nearest Neighbor Regression For Underwater Sensor Networks

The underwater acoustic channel is one of the most challenging communica...

Boyu Diao, et al. ∙

research

∙ 08/10/2021

End-to-End User Behavior Retrieval in Click-Through RatePrediction Model

Click-Through Rate (CTR) prediction is one of the core tasks in recommen...

Qiwei Chen, et al. ∙

research

∙ 08/10/2021

Semi-supervised classification of radiology images with NoTeacher: A Teacher that is not Mean

Deep learning models achieve strong performance for radiology image clas...

Balagopal Unnikrishnan, et al. ∙

research

∙ 07/19/2021

ZIPPER: Exploiting Tile- and Operator-level Parallelism for General and Scalable Graph Neural Network Acceleration

Graph neural networks (GNNs) start to gain momentum after showing signif...

Zhihui Zhang, et al. ∙

research

∙ 07/06/2021

Integrating Circle Kernels into Convolutional Neural Networks

The square kernel is a standard unit for contemporary Convolutional Neur...

Kun He, et al. ∙

research

∙ 07/05/2021

Optimizing the Numbers of Queries and Replies in Federated Learning with Differential Privacy

Federated learning (FL) empowers distributed clients to collaboratively ...

Yipeng Zhou, et al. ∙

research

∙ 05/29/2021

Self-Supervised Nonlinear Transform-Based Tensor Nuclear Norm for Multi-Dimensional Image Recovery

In this paper, we study multi-dimensional image recovery. Recently, tran...

Yi-Si Luo, et al. ∙

research

∙ 05/26/2021

Read, Listen, and See: Leveraging Multimodal Information Helps Chinese Spell Checking

Chinese Spell Checking (CSC) aims to detect and correct erroneous charac...

Heng-Da Xu, et al. ∙

research

∙ 05/20/2021

Egocentric Activity Recognition and Localization on a 3D Map

Given a video captured from a first person perspective and recorded in a...

Miao Liu, et al. ∙

research

∙ 05/04/2021

Motion Artifact Reduction in Quantitative Susceptibility Mapping using Deep Neural Network

An approach to reduce motion artifacts in Quantitative Susceptibility Ma...

Chao Li, et al. ∙

research

∙ 04/28/2021

Image Inpainting by End-to-End Cascaded Refinement with Mask Awareness

Inpainting arbitrary missing regions is challenging because learning val...

Manyu Zhu, et al. ∙

research

∙ 03/10/2021

BrainNetGAN: Data augmentation of brain connectivity using generative adversarial network for dementia classification

Alzheimer's disease (AD) is the most common age-related dementia. It rem...

Chao Li, et al. ∙

research

∙ 03/06/2021

NeRD: Neural Representation of Distribution for Medical Image Segmentation

We introduce Neural Representation of Distribution (NeRD) technique, a m...

Hang Zhang, et al. ∙

research

∙ 03/02/2021

On the Memory Mechanism of Tensor-Power Recurrent Models

Tensor-power (TP) recurrent model is a family of non-linear dynamical sy...

Hejia Qiu, et al. ∙

research

∙ 02/02/2021

T3AB: Transparent and Trustworthy Third-party Authority using Blockchain

Increasingly, information systems rely on computational, storage, and ne...

Runhua Xu, et al. ∙

research

∙ 01/30/2021

SteemOps: Extracting and Analyzing Key Operations in Steemit Blockchain-based Social Media Platform

Advancements in distributed ledger technologies are driving the rise of ...

Chao Li, et al. ∙

research

∙ 01/26/2021

Measuring Decentralization in Bitcoin and Ethereum using Multiple Metrics and Granularities

Decentralization has been widely acknowledged as a core virtue of blockc...

Qinwei Lin, et al. ∙

research

∙ 01/21/2021

Expectation-Maximization Regularized Deep Learning for Weakly Supervised Tumor Segmentation for Glioblastoma

We present an Expectation-Maximization (EM) Regularized Deep Learning (E...

Chao Li, et al. ∙

research

∙ 01/11/2021

On the Practicality of Differential Privacy in Federated Learning by Tuning Iteration Times

In spite that Federated Learning (FL) is well known for its privacy prot...

Yao Fu, et al. ∙

research

∙ 01/04/2021

Protecting Big Data Privacy Using Randomized Tensor Network Decomposition and Dispersed Tensor Computation

Data privacy is an important issue for organizations and enterprises to ...

Jenn-Bing Ong, et al. ∙

research

∙ 12/30/2020

Improving BERT with Syntax-aware Local Attention

Pre-trained Transformer-based neural language models, such as BERT, have...

Zhongli Li, et al. ∙

research

∙ 12/18/2020

NN-EMD: Efficiently Training Neural Networks using Encrypted Multi-sourced Datasets

Training a machine learning model over an encrypted dataset is an existi...

Runhua Xu, et al. ∙

Chao Li

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