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Detecting Stress Based on Social Interactions in Social Networks

IEEE transactions on knowledge and data engineering, 2017-09, Vol.29 (9), p.1820-1833

2017

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IEEE_Xplore

Energy-traffic tradeoff cooperative offloading for mobile cloud computing

2014 IEEE 22nd International Symposium of Quality of Service (IWQoS), 2014, p.284-289

2014

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A mutation-induced drug resistance database (MdrDB)

Communications chemistry, 2023-06, Vol.6 (1), p.123-123, Article 123

2023

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RetroPrime: A Diverse, plausible and Transformer-based method for Single-Step retrosynthesis predictions

Chemical engineering journal (Lausanne, Switzerland : 1996), 2021-09, Vol.420, p.129845, Article 129845

2021

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Pre-trained models: Past, present and future

AI open, 2021, Vol.2, p.225-250

2021

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SketchNE: Embedding Billion-Scale Networks Accurately in One Hour

IEEE transactions on knowledge and data engineering, 2023-10, Vol.35 (10), p.10666-10680

2023

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IEEE_Xplore

Towards Lightweight and Automated Representation Learning System for Networks

IEEE transactions on knowledge and data engineering, 2023-09, Vol.35 (9), p.1-15

2023

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IEEE_Xplore

Improved the heterodimer protein complex prediction with protein language models

Briefings in bioinformatics, 2023-07, Vol.24 (4)

2023

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Spatio-temporal Contrastive Learning-enhanced GNNs for Session-based Recommendation

ACM transactions on information systems, 2023-11, Vol.42 (2), p.1-26, Article 58

2023

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Multi-task bioassay pre-training for protein-ligand binding affinity prediction

Briefings in bioinformatics, 2023-11, Vol.25 (1)

2023

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GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training

Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2020, p.1150-1160

2020

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LightNE: A Lightweight Graph Processing System for Network Embedding

Proceedings of the 2021 International Conference on Management of Data, 2021, p.2281-2289

2021

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Network Embedding as Matrix Factorization: Unifying DeepWalk, LINE, PTE, and node2vec

Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018, p.459-467

2018

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DeepInf: Social Influence Prediction with Deep Learning

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018, p.2110-2119

2018

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Multi-constraint molecular generation using sparsely labelled training data for localized high-concentration electrolyte diluent screening

Digital discovery, 2023-10, Vol.2 (5), p.139-143

2023

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NetSMF: Large-Scale Network Embedding as Sparse Matrix Factorization

The World Wide Web Conference, 2019, p.1509-1520

2019

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Engagement and Incentives in Online Community: Observational Data, Prediction Models, and Field Experiments

Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018, p.755-756

Qiu, Jiezhong

2018

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Mask and Reason: Pre-Training Knowledge Graph Transformers for Complex Logical Queries

Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2022, p.1120-1130

2022

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Approximating Element-Wise Functions of Matrix with Improved Streaming Randomized SVD

2022 IEEE 34th International Conference on Tools with Artificial Intelligence (ICTAI), 2022, p.122-130

2022

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IEEE_Xplore

The Lifecycle and Cascade of WeChat Social Messaging Groups

Proceedings of the 25th International Conference on World Wide Web, 2016, p.311-320

2016

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BaGuaLu: targeting brain scale pretrained models with over 37 million cores

Proceedings of the 27th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2022, p.192-204

2022

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The International Workshop on Pretraining: Algorithms, Architectures, and Applications (Pretrain@KDD 2021)

Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining, 2021, p.4119-4120

2021

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Fast Extraction of Word Embedding from Q-contexts

Proceedings of the 30th ACM International Conference on Information & Knowledge Management, 2021, p.873-882

2021

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Graph Representation Learning: Foundations, Methods, Applications and Systems

Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining, 2021, p.4044-4045

2021

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Cellular hierarchy framework based on single-cell/multi-patient sample sequencing reveals metabolic biomarker PYGL as a therapeutic target for HNSCC

Journal of experimental & clinical cancer research, 2023-07, Vol.42 (1), p.162-162, Article 162

2023

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Detecting Stress Based on Social Interactions in Social Networks

Energy-traffic tradeoff cooperative offloading for mobile cloud computing

A mutation-induced drug resistance database (MdrDB)

RetroPrime: A Diverse, plausible and Transformer-based method for Single-Step retrosynthesis predictions

Pre-trained models: Past, present and future

SketchNE: Embedding Billion-Scale Networks Accurately in One Hour

Towards Lightweight and Automated Representation Learning System for Networks

Improved the heterodimer protein complex prediction with protein language models

Spatio-temporal Contrastive Learning-enhanced GNNs for Session-based Recommendation

Multi-task bioassay pre-training for protein-ligand binding affinity prediction

GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training

LightNE: A Lightweight Graph Processing System for Network Embedding

Network Embedding as Matrix Factorization: Unifying DeepWalk, LINE, PTE, and node2vec

DeepInf: Social Influence Prediction with Deep Learning

Multi-constraint molecular generation using sparsely labelled training data for localized high-concentration electrolyte diluent screening

NetSMF: Large-Scale Network Embedding as Sparse Matrix Factorization

Engagement and Incentives in Online Community: Observational Data, Prediction Models, and Field Experiments

Mask and Reason: Pre-Training Knowledge Graph Transformers for Complex Logical Queries

Approximating Element-Wise Functions of Matrix with Improved Streaming Randomized SVD

The Lifecycle and Cascade of WeChat Social Messaging Groups

BaGuaLu: targeting brain scale pretrained models with over 37 million cores

The International Workshop on Pretraining: Algorithms, Architectures, and Applications (Pretrain@KDD 2021)

Fast Extraction of Word Embedding from Q-contexts

Graph Representation Learning: Foundations, Methods, Applications and Systems

Cellular hierarchy framework based on single-cell/multi-patient sample sequencing reveals metabolic biomarker PYGL as a therapeutic target for HNSCC

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