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ASFGNN: Automated separated-federated graph neural network

Peer-to-peer networking and applications, 2021-05, Vol.14 (3), p.1692-1704

2021

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Experimental study on additive/subtractive hybrid manufacturing of 6511 steel: process optimization and machining characteristics

International journal of advanced manufacturing technology, 2020-05, Vol.108 (5-6), p.1389-1398

2020

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Solid-state phase transformation-induced residual stress in selective laser melting of martensitic stainless steel

International journal of advanced manufacturing technology, 2022-06, Vol.120 (9-10), p.6747-6760

2022

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Post-Training Quantization on Diffusion Models

2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023, p.1972-1981

2023

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scPROTEIN: a versatile deep graph contrastive learning framework for single-cell proteomics embedding

Nature methods, 2024-04, Vol.21 (4), p.623

2024

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Learning With Noisy Labels Over Imbalanced Subpopulations

IEEE transaction on neural networks and learning systems, 2024-05, Vol.PP, p.1-12

2024

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Lightweight Privacy-Preserving Federated Incremental Decision Trees

IEEE transactions on services computing, 2023-05, Vol.16 (3), p.1964-1975

2023

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Practical Privacy Preserving POI Recommendation

ACM transactions on intelligent systems and technology, 2020-09, Vol.11 (5), p.1-20

2020

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HASCO: towards agile hardware and software co-design for tensor computation

2021 ACM/IEEE 48th Annual International Symposium on Computer Architecture (ISCA), 2021, p.1055-1068

2021

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Variate Associated Domain Adaptation for Unsupervised Multivariate Time Series Anomaly Detection

ACM transactions on knowledge discovery from data, 2024-09, Vol.18 (8), p.1-24, Article 187

2024

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NAS4RRAM: neural network architecture search for inference on RRAM-based accelerators

Science China. Information sciences, 2021-06, Vol.64 (6), p.160407, Article 160407

2021

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COPPER: a combinatorial optimization problem solver with processing-in-memory architecture

Frontiers of information technology & electronic engineering, 2023-05, Vol.24 (5), p.731-741

2023

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P3SGD: Patient Privacy Preserving SGD for Regularizing Deep CNNs in Pathological Image Classification

2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019, p.2094-2103

2019

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Toward Scalable and Privacy-preserving Deep Neural Network via Algorithmic-Cryptographic Co-design

ACM transactions on intelligent systems and technology, 2022-05, Vol.13 (4), p.1-21, Article 53

2022

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Reducing Overfitting in Deep Convolutional Neural Networks Using Redundancy Regularizer

Artificial Neural Networks and Machine Learning – ICANN 2017, p.49-55

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Enabling High-Quality Uncertainty Quantification in a PIM Designed for Bayesian Neural Network

2022 IEEE International Symposium on High-Performance Computer Architecture (HPCA), 2022, p.1043-1055

2022

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S2DNAS: Transforming Static CNN Model for Dynamic Inference via Neural Architecture Search

Computer Vision - ECCV 2020, 2020, Vol.12347, p.175-192

2020

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IIB-MIL: Integrated Instance-Level and Bag-Level Multiple Instances Learning with Label Disambiguation for Pathological Image Analysis

Medical Image Computing and Computer Assisted Intervention – MICCAI 2023, p.560-569

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Rethinking and Simplifying Bootstrapped Graph Latents

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024, p.665-673

2024

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SAILOR: Structural Augmentation Based Tail Node Representation Learning

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023, p.1389-1399

2023

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Privacy Matters: Vertical Federated Linear Contextual Bandits for Privacy Protected Recommendation

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023, p.154-166

2023

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Trustworthy Graph Learning: Reliability, Explainability, and Privacy Protection

Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2022, p.4838-4839

2022

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Attention Paper: How Generative AI Reshapes Digital Shadow Industry?

Proceedings of the ACM Turing Award Celebration Conference - China 2023, 2023, p.143-144

2023

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Nebula: A Scalable Privacy-Preserving Machine Learning System in Ant Financial

Proceedings of the 29th ACM International Conference on Information & Knowledge Management, 2020, p.3369-3372

2020

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Automatic Knowledge Fusion in Transferrable Networks for Semantic Text Matching

Companion Proceedings of the Web Conference 2020, 2020, p.73-74

2020

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ASFGNN: Automated separated-federated graph neural network

Experimental study on additive/subtractive hybrid manufacturing of 6511 steel: process optimization and machining characteristics

Solid-state phase transformation-induced residual stress in selective laser melting of martensitic stainless steel

Post-Training Quantization on Diffusion Models

scPROTEIN: a versatile deep graph contrastive learning framework for single-cell proteomics embedding

Learning With Noisy Labels Over Imbalanced Subpopulations

Lightweight Privacy-Preserving Federated Incremental Decision Trees

Practical Privacy Preserving POI Recommendation

HASCO: towards agile hardware and software co-design for tensor computation

Variate Associated Domain Adaptation for Unsupervised Multivariate Time Series Anomaly Detection

NAS4RRAM: neural network architecture search for inference on RRAM-based accelerators

COPPER: a combinatorial optimization problem solver with processing-in-memory architecture

P3SGD: Patient Privacy Preserving SGD for Regularizing Deep CNNs in Pathological Image Classification

Toward Scalable and Privacy-preserving Deep Neural Network via Algorithmic-Cryptographic Co-design

Reducing Overfitting in Deep Convolutional Neural Networks Using Redundancy Regularizer

Enabling High-Quality Uncertainty Quantification in a PIM Designed for Bayesian Neural Network

S2DNAS: Transforming Static CNN Model for Dynamic Inference via Neural Architecture Search

IIB-MIL: Integrated Instance-Level and Bag-Level Multiple Instances Learning with Label Disambiguation for Pathological Image Analysis

Rethinking and Simplifying Bootstrapped Graph Latents

SAILOR: Structural Augmentation Based Tail Node Representation Learning

Privacy Matters: Vertical Federated Linear Contextual Bandits for Privacy Protected Recommendation

Trustworthy Graph Learning: Reliability, Explainability, and Privacy Protection

Attention Paper: How Generative AI Reshapes Digital Shadow Industry?

Nebula: A Scalable Privacy-Preserving Machine Learning System in Ant Financial

Automatic Knowledge Fusion in Transferrable Networks for Semantic Text Matching

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