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05/15/2023
Masked Collaborative Contrast for Weakly Supervised Semantic Segmentation
This study introduces an efficacious approach, Masked Collaborative Cont...
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05/10/2023
Fast Distributed Inference Serving for Large Language Models
Large language models (LLMs) power a new generation of interactive AI ap...
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04/13/2023
Energy-Efficient GPU Clusters Scheduling for Deep Learning
Training deep neural networks (DNNs) is a major workload in datacenters ...
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03/27/2023
Personalized Federated Learning on Long-Tailed Data via Adversarial Feature Augmentation
Personalized Federated Learning (PFL) aims to learn personalized models ...
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03/04/2023
Federated Semi-Supervised Learning with Annotation Heterogeneity
Federated Semi-Supervised Learning (FSSL) aims to learn a global model f...
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01/28/2023
Characterizing and Detecting WebAssembly Runtime Bugs
WebAssembly (abbreviated WASM) has emerged as a promising language of th...
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12/02/2022
Compound Batch Normalization for Long-tailed Image Classification
Significant progress has been made in learning image classification neur...
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09/15/2022
PriorLane: A Prior Knowledge Enhanced Lane Detection Approach Based on Transformer
Lane detection is one of the fundamental modules in self-driving. In thi...
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08/01/2022
DeFL: Decentralized Weight Aggregation for Cross-silo Federated Learning
Federated learning (FL) is an emerging promising paradigm of privacy-pre...
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04/28/2022
Federated Learning on Heterogeneous and Long-Tailed Data via Classifier Re-Training with Federated Features
Federated learning (FL) provides a privacy-preserving solution for distr...
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06/03/2021
AliCG: Fine-grained and Evolvable Conceptual Graph Construction for Semantic Search at Alibaba
Conceptual graphs, which is a particular type of Knowledge Graphs, play ...
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12/26/2020
Deep reinforcement learning for portfolio management
The objective of this paper is to verify that current cutting-edge artif...
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12/02/2020
VM Matters: A Comparison of WASM VMs and EVMs in the Performance of Blockchain Smart Contracts
WebAssemly is an emerging runtime for Web applications and has been supp...
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07/27/2020
Don't Fish in Troubled Waters! Characterizing Coronavirus-themed Cryptocurrency Scams
As COVID-19 has been spreading across the world since early 2020, a grow...
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06/27/2020
Federated Mutual Learning
Federated learning enables collaboratively training machine learning mod...
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04/19/2020
Interactive Patch Filtering as Debugging Aid
It is widely recognized that program repair tools need to have a high pr...
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02/15/2020
Neural Architecture Search over Decentralized Data
To preserve user privacy while enabling mobile intelligence, techniques ...
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02/13/2020
Characterizing EOSIO Blockchain
EOSIO has become one of the most popular blockchain platforms since its ...
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11/22/2019
Bribery in Rating System: A Game-Theoretic Perspective
The rich revenue gained from a mobile application (a.k.a. app) boost app...
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09/03/2019
A First Look at Blockchain-based Decentralized Applications
With the increasing popularity of blockchain technologies in recent year...
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04/28/2019
Supporting Video Queries on Zero-Streaming Cameras
As low-cost surveillance cameras grow rapidly, we advocate for these cam...
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04/22/2019
Galaxy Learning – A Position Paper
The recent rapid development of artificial intelligence (AI, mainly driv...
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09/22/2018
Comment on All-optical machine learning using diffractive deep neural networks
Lin et al. (Reports, 7 September 2018, p. 1004) reported a remarkable pr...
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07/31/2018
Neural Article Pair Modeling for Wikipedia Sub-article Matching
Nowadays, editors tend to separate different subtopics of a long Wiki-pe...
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07/27/2017
Runtime Model Based Approach to Smart Home System Development
When developing smart home systems, developers integrate and compose sma...
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01/19/2017
Block-wise Lensless Compressive Camera
The existing lensless compressive camera (L^2C^2) Huang13ICIP suffers fr...
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02/18/2016
Multi-resolution Compressive Sensing Reconstruction
We consider the problem of reconstructing an image from compressive meas...
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08/27/2015
Compressive Sensing via Low-Rank Gaussian Mixture Models
We develop a new compressive sensing (CS) inversion algorithm by utilizi...
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02/04/2014
Signal to Noise Ratio in Lensless Compressive Imaging
We analyze the signal to noise ratio (SNR) in a lensless compressive ima...
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06/17/2013
Multi-view in Lensless Compressive Imaging
Multi-view images are acquired by a lensless compressive imaging archite...
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05/30/2013
