Wei Xu

Orcid: 0000-0002-9271-0223

Affiliations:
  • Tsinghua University, Institute for Theoretical Computer Science, Beijing, China


According to our database1, Wei Xu authored at least 56 papers between 2014 and 2024.

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Bibliography

2024
LVMT: An Efficient Authenticated Storage for Blockchain.
ACM Trans. Storage, August, 2024

GORAM: Graph-oriented ORAM for Efficient Ego-centric Queries on Federated Graphs.
CoRR, 2024

Hardware Acceleration of Minimap2 Genomic Sequence Alignment Algorithm.
Proceedings of the 53rd International Conference on Parallel Processing, 2024

Collaborative Fraud Detection on Large Scale Graph Using Secure Multi-Party Computation.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Training Job Placement in Clusters with Statistical In-Network Aggregation.
Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2024

2023
Privacy Preserving Ultra-Short-term Wind Power Prediction Based on Secure Multi Party Computation.
CoRR, 2023

Transferable Adversarial Attack for Both Vision Transformers and Convolutional Networks via Momentum Integrated Gradients.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
PNM: Pixel Null Model for General Image Segmentation.
CoRR, 2022

NFGen: Automatic Non-linear Function Evaluation Code Generator for General-purpose MPC Platforms.
Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security, 2022

2021
Attention-Guided Deep Neural Network With Multi-Scale Feature Fusion for Liver Vessel Segmentation.
IEEE J. Biomed. Health Informatics, 2021

HP-VCS: A high-quality and printer-friendly visual cryptography scheme.
J. Vis. Commun. Image Represent., 2021

PPCA: Privacy-preserving Principal Component Analysis Using Secure Multiparty Computation(MPC).
CoRR, 2021

2020
Octopus: Privacy-Preserving Collaborative Evaluation of Loan Stacking.
CoRR, 2020

Secure multiparty computation for privacy-preserving drug discovery.
Bioinform., 2020

Modeling Heterogeneous Statistical Patterns in High-dimensional Data by Adversarial Distributions: An Unsupervised Generative Framework.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

A Decentralized Blockchain with High Throughput and Fast Confirmation.
Proceedings of the 2020 USENIX Annual Technical Conference, 2020

Feature Statistics Guided Efficient Filter Pruning.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

A Benchmark Dataset for Segmenting Liver, Vasculature and Lesions from Large-scale Computed Tomography Data.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Gosig: a scalable and high-performance byzantine consensus for consortium blockchains.
Proceedings of the SoCC '20: ACM Symposium on Cloud Computing, 2020

FDHelper: Assist Unsupervised Fraud Detection Experts with Interactive Feature Selection and Evaluation.
Proceedings of the CHI '20: CHI Conference on Human Factors in Computing Systems, 2020

Concerto: cooperative network-wide telemetry with controllable error rate.
Proceedings of the APSys '20: 11th ACM SIGOPS Asia-Pacific Workshop on Systems, 2020

2019
No Place to Hide: Catching Fraudulent Entities in Tensors.
Proceedings of the World Wide Web Conference, 2019

PrivPy: General and Scalable Privacy-Preserving Data Mining.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

SGXPy: Protecting Integrity of Python Applications with Intel SGX.
Proceedings of the 26th Asia-Pacific Software Engineering Conference, 2019

DIAG-NRE: A Neural Pattern Diagnosis Framework for Distantly Supervised Neural Relation Extraction.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
DIAG-NRE: A Deep Pattern Diagnosis Framework for Distant Supervision Neural Relation Extraction.
CoRR, 2018

Scaling Nakamoto Consensus to Thousands of Transactions per Second.
CoRR, 2018

Gosig: Scalable Byzantine Consensus on Adversarial Wide Area Network for Blockchains.
CoRR, 2018

PrivPy: Enabling Scalable and General Privacy-Preserving Computation.
CoRR, 2018

When Online Dating Meets Nash Social Welfare: Achieving Efficiency and Fairness.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

Do Not Pull My Data for Resale: Protecting Data Providers Using Data Retrieval Pattern Analysis.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Towards software-defined and self-driving cloud infrastructure: extended abstract.
Proceedings of the 13th International Workshop on Automation of Software Test, 2018

DumbNet: a smart data center network fabric with dumb switches.
Proceedings of the Thirteenth EuroSys Conference, 2018

FraudVis: Understanding Unsupervised Fraud Detection Algorithms.
Proceedings of the IEEE Pacific Visualization Symposium, 2018

Detecting Data Center Cooling Problems Using a Data-driven Approach.
Proceedings of the 9th Asia-Pacific Workshop on Systems, 2018

2017
Improving click-through rate prediction accuracy in online advertising by transfer learning.
Proceedings of the International Conference on Web Intelligence, 2017

Identifying Carotid Plaque Composition in MRI with Convolutional Neural Networks.
Proceedings of the 2017 IEEE International Conference on Smart Computing, 2017

PEM: A Practical Differentially Private System for Large-Scale Cross-Institutional Data Mining.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

Joint Training for Pivot-based Neural Machine Translation.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

DataLab: Introducing Software Engineering Thinking into Data Science Education at Scale.
Proceedings of the 39th IEEE/ACM International Conference on Software Engineering: Software Engineering Education and Training Track, 2017

An Optimization Framework for Online Ride-Sharing Markets.
Proceedings of the 37th IEEE International Conference on Distributed Computing Systems, 2017

Learning to Read Chest X-Ray Images from 16000+ Examples Using CNN.
Proceedings of the Second IEEE/ACM International Conference on Connected Health: Applications, 2017

Maximum Reconstruction Estimation for Generative Latent-Variable Models.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Predicting Inter-Data-Center Network Traffic Using Elephant Flow and Sublink Information.
IEEE Trans. Netw. Serv. Manag., 2016

cOSPREY: A Cloud-Based Distributed Algorithm for Large-Scale Computational Protein Design.
J. Comput. Biol., 2016

Neural Machine Translation with Pivot Languages.
CoRR, 2016

Optimizing Bulk Transfers with Software-Defined Optical WAN.
Proceedings of the ACM SIGCOMM 2016 Conference, Florianopolis, Brazil, August 22-26, 2016, 2016

A 12-rack, 180-server datacenter network (DCN) using multiwavelength optical switching and full stack optimization.
Proceedings of the Optical Fiber Communications Conference and Exhibition, 2016

Inter-data-center network traffic prediction with elephant flows.
Proceedings of the 2016 IEEE/IFIP Network Operations and Management Symposium, 2016

DataLab: a version data management and analytics system.
Proceedings of the 2nd International Workshop on BIG Data Software Engineering, 2016

Increasing large-scale data center capacity by statistical power control.
Proceedings of the Eleventh European Conference on Computer Systems, 2016

Scalable Kernel TCP Design and Implementation for Short-Lived Connections.
Proceedings of the Twenty-First International Conference on Architectural Support for Programming Languages and Operating Systems, 2016

Debugging OpenStack Problems Using a State Graph Approach.
Proceedings of the 7th ACM SIGOPS Asia-Pacific Workshop on Systems, 2016

Optimizing Hash-based Distributed Storage Using Client Choices.
Proceedings of the 7th ACM SIGOPS Asia-Pacific Workshop on Systems, 2016

Semi-Supervised Learning for Neural Machine Translation.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

2014
An efficient parallel algorithm for accelerating computational protein design.
Bioinform., 2014


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