Zhuoyi Wang

According to our database1, Zhuoyi Wang authored at least 29 papers between 2016 and 2024.

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

Timeline

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Links

On csauthors.net:

Bibliography

2024
TabLog: Test-Time Adaptation for Tabular Data Using Logic Rules.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023
An Automated Vulnerability Detection Framework for Smart Contracts.
CoRR, 2023

Dual Contrastive Learning Framework for Incremental Text Classification.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022
CAPT: Contrastive Pre-Training based Semi-Supervised Open-Set Learning.
Proceedings of the 5th IEEE International Conference on Multimedia Information Processing and Retrieval, 2022

LPC: A Logits and Parameter Calibration Framework for Continual Learning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Latent Coreset Sampling based Data-Free Continual Learning.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021
CLEAR: Contrastive-Prototype Learning with Drift Estimation for Resource Constrained Stream Mining.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Attention-Based Spatial Guidance for Image-to-Image Translation.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

CIFDM: Continual and Interactive Feature Distillation for Multi-Label Stream Learning.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Generating Point Cloud from Single Image in The Few Shot Scenario.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

An Episodic Learning based Geolocation Detection Framework for Imbalanced Data.
Proceedings of the International Joint Conference on Neural Networks, 2021

VSCL: Automating Vulnerability Detection in Smart Contracts with Deep Learning.
Proceedings of the IEEE International Conference on Blockchain and Cryptocurrency, 2021

Contextual Rephrase Detection for Reducing Friction in Dialogue Systems.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Unsupervised Perturbation based Self-Supervised Adversarial Training.
Proceedings of the 7th IEEE International Conference on Big Data Security on Cloud, 2021

Single View Point Cloud Generation via Unified 3D Prototype.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
MultiCon: A Semi-Supervised Approach for Predicting Drug Function from Chemical Structure Analysis.
J. Chem. Inf. Model., 2020

Few-Sample and Adversarial Representation Learning for Continual Stream Mining.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Adaptive Multi-Region Network For Medical Image Analysis.
Proceedings of the IEEE International Conference on Image Processing, 2020

A Primal-Dual Subgradient Approach for Fair Meta Learning.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Adaptive Margin Based Deep Adversarial Metric Learning.
Proceedings of the 6th IEEE International Conference on Big Data Security on Cloud, 2020

Few Sample Learning without Data Storage for Lifelong Stream Mining (Student Abstract).
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Metric Learning based Framework for Streaming Classification with Concept Evolution.
Proceedings of the International Joint Conference on Neural Networks, 2019

COMC: A Framework for Online Cross-domain Multistream Classification.
Proceedings of the International Joint Conference on Neural Networks, 2019

Robust High Dimensional Stream Classification with Novel Class Detection.
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

Co-Representation Learning Framework For the Open-Set Data Classification.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Regression Prediction For Geolocation Aware Through Relative Density Ratio Estimation.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018
Adaptive Image Stream Classification via Convolutional Neural Network with Intrinsic Similarity Metrics.
CoRR, 2018

2017
FUSION: An Online Method for Multistream Classification.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2016
Sampling-based distributed Kernel mean matching using spark.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016


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