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07/12/2023
Towards the Better Ranking Consistency: A Multi-task Learning Framework for Early Stage Ads Ranking
Dividing ads ranking system into retrieval, early, and final stages is a...
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01/10/2023
Joint Hybrid Beamforming and User Scheduling for Multi-Satellite Cooperative Networks
In this paper, we consider a cooperative communication network where mul...
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01/10/2023
A Fundamental Tradeoff Among Storage, Computation, and Communication for Distributed Computing over Star Network
Coded distributed computing can alleviate the communication load by leve...
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09/19/2022
Derivative Descendants and Ascendants of Binary Cyclic Codes, and Derivative Decoding
This paper defines derivative descendants and ascendants of extended cyc...
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07/22/2022
Optimization of Forcemyography Sensor Placement for Arm Movement Recognition
How to design an optimal wearable device for human movement recognition ...
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04/07/2022
A CCBM-based generalized GKB iterative regularizing algorithm for inverse Cauchy problems
This paper examines inverse Cauchy problems that are governed by a kind ...
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05/25/2021
Pruned Collapsed Projection-Aggregation Decoding of Reed-Muller Codes
The paper proposes to decode Reed-Muller (RM) codes by projecting onto o...
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02/13/2021
Optimal Streaming Algorithms for Graph Matching
We present parameterized streaming algorithms for the graph matching pro...
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12/04/2020
Near-Optimal Algorithms for Point-Line Covering Problems
We study fundamental point-line covering problems in computational geome...
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03/05/2020
Linear-Time Parameterized Algorithms with Limited Local Resources
We propose a new (theoretical) computational model for the study of mass...
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11/05/2019
Downsampling and Transparent Coding for Blockchain
With the development of blockchain, the huge history data limits the sca...
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11/05/2019
Transparent Downsampling Blockchain Algorithm
With the development of blockchain, the huge history data limits the sca...
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12/19/2018
Unsupervised Video Object Segmentation with Distractor-Aware Online Adaptation
Unsupervised video object segmentation is a crucial application in video...
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12/13/2018
Design Pseudo Ground Truth with Motion Cue for Unsupervised Video Object Segmentation
One major technique debt in video object segmentation is to label the ob...
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05/09/2018
SPG-Net: Segmentation Prediction and Guidance Network for Image Inpainting
In this paper, we focus on image inpainting task, aiming at recovering t...
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01/03/2018
Instance Embedding Transfer to Unsupervised Video Object Segmentation
We propose a method for unsupervised video object segmentation by transf...
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11/25/2017
Multiple Instance Curriculum Learning for Weakly Supervised Object Detection
When supervising an object detector with weakly labeled data, most exist...
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11/23/2017
Image Inpainting using Multi-Scale Feature Image Translation
We study the task of image inpainting, which is to fill in the missing r...
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11/03/2017
A Taught-Obesrve-Ask (TOA) Method for Object Detection with Critical Supervision
Being inspired by child's learning experience - taught first and followe...
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10/30/2017
Prediction of Satisfied User Ratio for Compressed Video
A large-scale video quality dataset called the VideoSet has been constru...
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07/20/2017
Semantic Segmentation with Reverse Attention
Recent development in fully convolutional neural network enables efficie...
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03/31/2016