b'Ji Liu'

research

∙ 08/21/2023

Pixel Adaptive Deep Unfolding Transformer for Hyperspectral Image Reconstruction

Hyperspectral Image (HSI) reconstruction has made gratifying progress wi...

0 Miaoyu Li, et al. ∙

research

∙ 08/04/2023

Adaptive Preferential Attached kNN Graph with Distribution-Awareness

Graph-based kNN algorithms have garnered widespread popularity for machi...

0 Shaojie Min, et al. ∙

research

∙ 07/04/2023

Separated RoadTopoFormer

Understanding driving scenarios is crucial to realizing autonomous drivi...

0 Mingjie Lu, et al. ∙

research

∙ 06/29/2023

Entanglement Routing over Quantum Networks Using Greenberger-Horne-Zeilinger Measurements

Generating a long-distance quantum entanglement is one of the most essen...

0 Yiming Zeng, et al. ∙

research

∙ 06/15/2023

Multi-Temporal Relationship Inference in Urban Areas

Finding multiple temporal relationships among locations can benefit a bu...

0 Shuangli Li, et al. ∙

research

∙ 04/12/2023

AutoShot: A Short Video Dataset and State-of-the-Art Shot Boundary Detection

The short-form videos have explosive popularity and have dominated the n...

1 Wentao Zhu, et al. ∙

research

∙ 04/03/2023

Spectral Enhanced Rectangle Transformer for Hyperspectral Image Denoising

Denoising is a crucial step for hyperspectral image (HSI) applications. ...

0 Miaoyu Li, et al. ∙

research

∙ 04/02/2023

LG-BPN: Local and Global Blind-Patch Network for Self-Supervised Real-World Denoising

Despite the significant results on synthetic noise under simplified assu...

0 Zichun Wang, et al. ∙

research

∙ 03/08/2023

Distributed and Deep Vertical Federated Learning with Big Data

In recent years, data are typically distributed in multiple organization...

0 Ji Liu, et al. ∙

research

∙ 11/24/2022

Multi-Job Intelligent Scheduling with Cross-Device Federated Learning

Recent years have witnessed a large amount of decentralized data in vari...

0 Ji Liu, et al. ∙

research

∙ 11/05/2022

Modeling Multi-Dimensional Datasets via a Fast Scale-Free Network Model

Compared with network datasets, multi-dimensional data are much more com...

0 Shaojie Min, et al. ∙

research

∙ 08/05/2022

A Hybrid Observer for Estimating the State of a Distributed Linear System

A hybrid observer is described for estimating the state of a system of t...

0 Lili Wang, et al. ∙

research

∙ 07/25/2022

Cooperative Actor-Critic via TD Error Aggregation

In decentralized cooperative multi-agent reinforcement learning, agents ...

0 Martin Figura, et al. ∙

research

∙ 07/14/2022

Accelerated Federated Learning with Decoupled Adaptive Optimization

The federated learning (FL) framework enables edge clients to collaborat...

0 Jiayin Jin, et al. ∙

research

∙ 07/14/2022

Large-scale Knowledge Distillation with Elastic Heterogeneous Computing Resources

Although more layers and more parameters generally improve the accuracy ...

1 Ji Liu, et al. ∙

research

∙ 06/21/2022

FedHiSyn: A Hierarchical Synchronous Federated Learning Framework for Resource and Data Heterogeneity

Federated Learning (FL) enables training a global model without sharing ...

0 Guanghao Li, et al. ∙

research

∙ 06/12/2022

Stochastic Gradient Descent without Full Data Shuffle

Stochastic gradient descent (SGD) is the cornerstone of modern machine l...

39 Lijie Xu, et al. ∙

research

∙ 06/05/2022

E^2VTS: Energy-Efficient Video Text Spotting from Unmanned Aerial Vehicles

Unmanned Aerial Vehicles (UAVs) based video text spotting has been exten...

0 Zhenyu Hu, et al. ∙

research

∙ 05/31/2022

Multi-Entanglement Routing Design over Quantum Networks

Quantum networks are considered as a promising future platform for quant...

0 Yiming Zeng, et al. ∙

research

∙ 05/21/2022

Not All SWAPs Have the Same Cost: A Case for Optimization-Aware Qubit Routing

Despite rapid advances in quantum computing technologies, the qubit conn...

0 Ji Liu, et al. ∙

research

∙ 05/04/2022

Dual Cross-Attention Learning for Fine-Grained Visual Categorization and Object Re-Identification

Recently, self-attention mechanisms have shown impressive performance in...

0 Haowei Zhu, et al. ∙

research

∙ 05/04/2022

Dynamic Sparse R-CNN

Sparse R-CNN is a recent strong object detection baseline by set predict...

0 Qinghang Hong, et al. ∙

research

∙ 04/25/2022

FedDUAP: Federated Learning with Dynamic Update and Adaptive Pruning Using Shared Data on the Server

Despite achieving remarkable performance, Federated Learning (FL) suffer...

0 Hong Zhang, et al. ∙

research

∙ 01/21/2022

Occupancy Information Ratio: Infinite-Horizon, Information-Directed, Parameterized Policy Search

We develop a new measure of the exploration/exploitation trade-off in in...

0 Wesley A. Suttle, et al. ∙

research

∙ 12/24/2021

Dual Hierarchical Attention Networks for Bi-typed Heterogeneous Graph Learning

Bi-typed heterogeneous graphs are applied in many real-world scenarios. ...

16 Yu Zhao, et al. ∙

research

∙ 12/15/2021

Data Placement for Multi-Tenant Data Federation on the Cloud

Due to privacy concerns of users and law enforcement in data security an...

0 Ji Liu, et al. ∙

research

∙ 12/11/2021

Efficient Device Scheduling with Multi-Job Federated Learning

Recent years have witnessed a large amount of decentralized data in mult...

1 Chendi Zhou, et al. ∙

research

∙ 11/24/2021

Finite-Time Error Bounds for Distributed Linear Stochastic Approximation

This paper considers a novel multi-agent linear stochastic approximation...

0 Yixuan Lin, et al. ∙

research

∙ 11/22/2021

Decentralized Multi-Armed Bandit Can Outperform Classic Upper Confidence Bound

This paper studies a decentralized multi-armed bandit problem in a multi...

0 Jingxuan Zhu, et al. ∙

research

∙ 11/20/2021

HeterPS: Distributed Deep Learning With Reinforcement Learning Based Scheduling in Heterogeneous Environments

Deep neural networks (DNNs) exploit many layers and a large number of pa...

1 Ji Liu, et al. ∙

research

∙ 11/12/2021

Resilient Consensus-based Multi-agent Reinforcement Learning

Adversarial attacks during training can strongly influence the performan...

0 Martin Figura, et al. ∙

research

∙ 10/29/2021

Deep Keyphrase Completion

Keyphrase provides accurate information of document content that is high...

0 Yu Zhao, et al. ∙

research

∙ 10/15/2021

Joint Channel and Weight Pruning for Model Acceleration on Moblie Devices

For practical deep neural network design on mobile devices, it is essent...

14 Tianli Zhao, et al. ∙

research

∙ 10/07/2021

AgFlow: Fast Model Selection of Penalized PCA via Implicit Regularization Effects of Gradient Flow

Principal component analysis (PCA) has been widely used as an effective ...

0 Haiyan Jiang, et al. ∙

research

∙ 08/09/2021

ChemiRise: a data-driven retrosynthesis engine

We have developed an end-to-end, retrosynthesis system, named ChemiRise,...

0 Xiangyan Sun, et al. ∙

research

∙ 08/04/2021

ErrorCompensatedX: error compensation for variance reduced algorithms

Communication cost is one major bottleneck for the scalability for distr...

0 Hanlin Tang, et al. ∙

research

∙ 07/12/2021

MugRep: A Multi-Task Hierarchical Graph Representation Learning Framework for Real Estate Appraisal

Real estate appraisal refers to the process of developing an unbiased op...

0 Weijia Zhang, et al. ∙

research

∙ 06/11/2021

DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement Learning

Games are abstractions of the real world, where artificial agents learn ...

0 Daochen Zha, et al. ∙

research

∙ 04/29/2021

From Distributed Machine Learning to Federated Learning: A Survey

In recent years, data and computing resources are typically distributed ...

0 Ji Liu, et al. ∙

research

∙ 04/12/2021

Distributed Learning Systems with First-order Methods

Scalable and efficient distributed learning is one of the main driving f...

0 Ji Liu, et al. ∙

research

∙ 03/30/2021

Reputation and Pricing Dynamics in Online Markets

We study the economic interactions among sellers and buyers in online ma...

0 Qian Ma, et al. ∙

research

∙ 03/19/2021

Interpretable Deep Learning: Interpretations, Interpretability, Trustworthiness, and Beyond

Deep neural networks have been well-known for their superb performance i...

0 Xuhong Li, et al. ∙

research

∙ 02/04/2021

1-bit Adam: Communication Efficient Large-Scale Training with Adam's Convergence Speed

Scalable training of large models (like BERT and GPT-3) requires careful...

0 Hanlin Tang, et al. ∙

research

∙ 01/20/2021

Rank the Episodes: A Simple Approach for Exploration in Procedurally-Generated Environments

Exploration under sparse reward is a long-standing challenge of model-fr...

6 Daochen Zha, et al. ∙

research

∙ 12/22/2020

C-Watcher: A Framework for Early Detection of High-Risk Neighborhoods Ahead of COVID-19 Outbreak

The novel coronavirus disease (COVID-19) has crushed daily routines and ...

0 Congxi Xiao, et al. ∙

research

∙ 12/14/2020

Relaxed Peephole Optimization: A Novel Compiler Optimization for Quantum Circuits

In this paper, we propose a novel quantum compiler optimization, named r...

0 Ji Liu, et al. ∙

research

∙ 10/24/2020

Federated Bandit: A Gossiping Approach

In this paper, we study Federated Bandit, a decentralized Multi-Armed Ba...

0 Zhaowei Zhu, et al. ∙

research

∙ 10/23/2020

Short Video-based Advertisements Evaluation System: Self-Organizing Learning Approach

With the rising of short video apps, such as TikTok, Snapchat and Kwai, ...

0 Yunjie Zhang, et al. ∙

research

∙ 10/22/2020

Once-for-All Adversarial Training: In-Situ Tradeoff between Robustness and Accuracy for Free

Adversarial training and its many variants substantially improve deep ne...

0 Haotao Wang, et al. ∙

research

∙ 09/28/2020

Tempura: A General Cost Based Optimizer Framework for Incremental Data Processing (Extended Version)

Incremental processing is widely-adopted in many applications, ranging f...

0 Zuozhi Wang, et al. ∙

Ji Liu

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