Wei Wang

Orcid: 0000-0001-5367-7056

Affiliations:
  • TikTok, Singapore
  • National University of Singapore, Department of Computer Science, Singapore (PhD 2017)


According to our database1, Wei Wang authored at least 54 papers between 2007 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
A Survey on Deep Reinforcement Learning for Data Processing and Analytics.
IEEE Trans. Knowl. Data Eng., May, 2023

A Dietary Nutrition-aided Healthcare Platform via Effective Food Recognition on a Localized Singaporean Food Dataset.
CoRR, 2023

2022
ELDA: Learning Explicit Dual-Interactions for Healthcare Analytics.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

2021
Structure-Aware Label Smoothing for Graph Neural Networks.
CoRR, 2021

Mixup for Node and Graph Classification.
Proceedings of the WWW '21: The Web Conference 2021, 2021

CurGraph: Curriculum Learning for Graph Classification.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Dynamic Routing Networks.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

AlphaEvolve: A Learning Framework to Discover Novel Alphas in Quantitative Investment.
Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

Towards Robust Cross-domain Image Understanding with Unsupervised Noise Removal.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

SINGA-Easy: An Easy-to-Use Framework for MultiModal Analysis.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Unsupervised Domain Adaptation for Static Malware Detection based on Gradient Boosting Trees.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020
ScatterNet: A Deep Subjective Similarity Model for Visual Analysis of Scatterplots.
IEEE Trans. Vis. Comput. Graph., 2020

The Disruptions of 5G on Data-Driven Technologies and Applications.
IEEE Trans. Knowl. Data Eng., 2020

A network model of speaker identification with new feature extraction methods and asymmetric BLSTM.
Neurocomputing, 2020

GraphCrop: Subgraph Cropping for Graph Classification.
CoRR, 2020

Efficient Bitwidth Search for Practical Mixed Precision Neural Network.
CoRR, 2020

TRACER: A Framework for Facilitating Accurate and Interpretable Analytics for High Stakes Applications.
Proceedings of the 2020 International Conference on Management of Data, 2020

Progressive Supervision for Node Classification.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

NodeAug: Semi-Supervised Node Classification with Data Augmentation.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Detecting Implementation Bugs in Graph Convolutional Network based Node Classifiers.
Proceedings of the 31st IEEE International Symposium on Software Reliability Engineering, 2020

Malware Detection by Exploiting Deep Learning over Binary Programs.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Understanding Architectures Learnt by Cell-based Neural Architecture Search.
Proceedings of the 8th International Conference on Learning Representations, 2020

Additive Powers-of-Two Quantization: An Efficient Non-uniform Discretization for Neural Networks.
Proceedings of the 8th International Conference on Learning Representations, 2020

Provably Robust Node Classification via Low-Pass Message Passing.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Learning Effective Representations for Person-Job Fit by Feature Fusion.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Dynamic Malware Analysis with Feature Engineering and Feature Learning.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

One-Shot Image Classification by Learning to Restore Prototypes.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

RTN: Reparameterized Ternary Network.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Time2Graph: Revisiting Time Series Modeling with Dynamic Shapelets.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
A Distributed System for Large-scale n-gram Language Models at Tencent.
Proc. VLDB Endow., 2019

5G: Agent for Further Digital Disruptive Transformations.
IEEE Data Eng. Bull., 2019

Special Issue of APWeb-WAIM 2019.
Data Sci. Eng., 2019

Additive Powers-of-Two Quantization: A Non-uniform Discretization for Neural Networks.
CoRR, 2019

ISBNet: Instance-aware Selective Branching Network.
CoRR, 2019

Effective and Efficient Dropout for Deep Convolutional Neural Networks.
CoRR, 2019

Efficient Memory Management for GPU-based Deep Learning Systems.
CoRR, 2019

Convolutional Neural Networks for Food Image Recognition: An Experimental Study.
Proceedings of the 5th International Workshop on Multimedia Assisted Dietary Management, 2019

Deploying Hash Tables on Die-Stacked High Bandwidth Memory.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018
Rafiki: Machine Learning as an Analytics Service System.
Proc. VLDB Endow., 2018

Object-Level Representation Learning for Few-Shot Image Classification.
CoRR, 2018

PANDA: Facilitating Usable AI Development.
CoRR, 2018

Rafiki: Machine Learning as an Analytics Service System.
CoRR, 2018

2017
Cross-Domain Image Retrieval with Attention Modeling.
Proceedings of the 2017 ACM on Multimedia Conference, 2017

Capturing Feature-Level Irregularity in Disease Progression Modeling.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2016
Effective deep learning-based multi-modal retrieval.
VLDB J., 2016

Deep Learning at Scale and at Ease.
ACM Trans. Multim. Comput. Commun. Appl., 2016

Database Meets Deep Learning: Challenges and Opportunities.
SIGMOD Rec., 2016

Deep Learning At Scale and At Ease.
CoRR, 2016

Cross-Modal Search on Social Networking Systems by Exploring Wikipedia Concepts.
Proceedings of the Digital Libraries: Knowledge, Information, and Data in an Open Access Society, 2016

2015
SINGA: Putting Deep Learning in the Hands of Multimedia Users.
Proceedings of the 23rd Annual ACM Conference on Multimedia Conference, MM '15, Brisbane, Australia, October 26, 2015

SINGA: A Distributed Deep Learning Platform.
Proceedings of the 23rd Annual ACM Conference on Multimedia Conference, MM '15, Brisbane, Australia, October 26, 2015

2014
Effective Multi-Modal Retrieval based on Stacked Auto-Encoders.
Proc. VLDB Endow., 2014

Cross-Media Hashing with Neural Networks.
Proceedings of the ACM International Conference on Multimedia, MM '14, Orlando, FL, USA, November 03, 2014

2007
MSFSS: A Storage System for Mass Small Files.
Proceedings of the 11th International Conference on Computer Supported Cooperative Work in Design, 2007


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