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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.623-634

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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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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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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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, 2023, Vol.14225, p.560-569

2023

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Reducing Overfitting in Deep Convolutional Neural Networks Using Redundancy Regularizer

Artificial Neural Networks and Machine Learning - ICANN 2017, 2017, Vol.10614, p.49-55

2017

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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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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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A Label Disambiguation-Based Multimodal Massive Multiple Instance Learning Approach for Immune Repertoire Classification

Proceedings of the ... AAAI Conference on Artificial Intelligence, 2024, Vol.38 (14), p.16138-16146

2024

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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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DrugOOD: Out-of-Distribution Dataset Curator and Benchmark for AI-Aided Drug Discovery – a Focus on Affinity Prediction Problems with Noise Annotations

Proceedings of the ... AAAI Conference on Artificial Intelligence, 2023, Vol.37 (7), p.8023-8031

2023

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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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Characterizing Membership Privacy in Stochastic Gradient Langevin Dynamics

Proceedings of the ... AAAI Conference on Artificial Intelligence, 2020-04, Vol.34 (4), p.6372-6379

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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Synergistic interface-pillared Fe-MOF on 2D Ti3C2TX MXene electrode coupling toward high energy density

Applied surface science, 2022-11, Vol.602, p.154386, Article 154386

2022

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V‐Doping Strategy Induces the Construction of the CoFe‐LDHs/NF Electrodes with Higher Conductivity to Achieve Higher Energy Density for Advanced Energy Storage Devices

Small (Weinheim an der Bergstrasse, Germany), 2024-11, Vol.20 (44), p.e2404557-n/a

2024

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d-arginine-functionalized carbon dots with enhanced near-infrared emission and prolonged metabolism time for tumor fluorescent-guided photothermal therapy

Journal of colloid and interface science, 2025-01, Vol.678 (Pt C), p.575-582

2025

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Interlayer spacing enlarged 2D 1T-MoS2 and V2CTx MXene as superior anodes for boosting potassium-ion diffusion coefficient

Journal of colloid and interface science, 2022-07, Vol.618, p.56-67

2022

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Genomic characterization of Rocahepevirus ratti hepatitis E virus genotype C1 in Yunnan province of China

Virus research, 2024-03, Vol.341, p.199321-199321, Article 199321

2024

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Post-Training Quantization on Diffusion Models

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

Lightweight Privacy-Preserving Federated Incremental Decision Trees

Practical Privacy Preserving POI Recommendation

Variate Associated Domain Adaptation for Unsupervised Multivariate Time Series Anomaly Detection

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

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

Reducing Overfitting in Deep Convolutional Neural Networks Using Redundancy Regularizer

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

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

A Label Disambiguation-Based Multimodal Massive Multiple Instance Learning Approach for Immune Repertoire Classification

Trustworthy Graph Learning: Reliability, Explainability, and Privacy Protection

DrugOOD: Out-of-Distribution Dataset Curator and Benchmark for AI-Aided Drug Discovery – a Focus on Affinity Prediction Problems with Noise Annotations

Attention Paper: How Generative AI Reshapes Digital Shadow Industry?

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

Characterizing Membership Privacy in Stochastic Gradient Langevin Dynamics

Automatic Knowledge Fusion in Transferrable Networks for Semantic Text Matching

Synergistic interface-pillared Fe-MOF on 2D Ti3C2TX MXene electrode coupling toward high energy density

V‐Doping Strategy Induces the Construction of the CoFe‐LDHs/NF Electrodes with Higher Conductivity to Achieve Higher Energy Density for Advanced Energy Storage Devices

d-arginine-functionalized carbon dots with enhanced near-infrared emission and prolonged metabolism time for tumor fluorescent-guided photothermal therapy

Interlayer spacing enlarged 2D 1T-MoS2 and V2CTx MXene as superior anodes for boosting potassium-ion diffusion coefficient

Genomic characterization of Rocahepevirus ratti hepatitis E virus genotype C1 in Yunnan province of China

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