Shuai Xiao

Orcid: 0000-0001-8550-5064

Affiliations:
  • Alibaba Group, Shanghai, China
  • Shanghai Jiao Tong University, School of Electronic Information and Electrical Engineering, Shanghai, China (PhD 2018)


According to our database1, Shuai Xiao authored at least 19 papers between 2016 and 2024.

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

Timeline

2016
2017
2018
2019
2020
2021
2022
2023
2024
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Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Advancing Myopia To Holism: Fully Contrastive Language-Image Pre-training.
CoRR, 2024

Branches, Assemble! Multi-Branch Cooperation Network for Large-Scale Click-Through Rate Prediction at Taobao.
CoRR, 2024

Enhancing Cross-Domain Click-Through Rate Prediction via Explicit Feature Augmentation.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Tunnel Try-on: Excavating Spatial-temporal Tunnels for High-quality Virtual Try-on in Videos.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Turbo: Informativity-Driven Acceleration Plug-In for Vision-Language Large Models.
Proceedings of the Computer Vision - ECCV 2024, 2024

DivNet: Diversity-Aware Self-Correcting Sequential Recommendation Networks.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023
Traffic Anomaly Prediction Based on Joint Static-Dynamic Spatio-Temporal Evolutionary Learning.
IEEE Trans. Knowl. Data Eng., May, 2023

Turbo: Informativity-Driven Acceleration Plug-In for Vision-Language Models.
CoRR, 2023

Cross-domain Augmentation Networks for Click-Through Rate Prediction.
CoRR, 2023

2019
Learning Time Series Associated Event Sequences With Recurrent Point Process Networks.
IEEE Trans. Neural Networks Learn. Syst., 2019

2018
Publication Popularity Modeling via Adversarial Learning of Profile-Specific Dynamic Process.
IEEE Access, 2018

Learning Conditional Generative Models for Temporal Point Processes.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Joint Modeling of Event Sequence and Time Series with Attentional Twin Recurrent Neural Networks.
CoRR, 2017

Wasserstein Learning of Deep Generative Point Process Models.
CoRR, 2017

Wasserstein Learning of Deep Generative Point Process Models.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Modeling the Intensity Function of Point Process Via Recurrent Neural Networks.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

On Predictive Patent Valuation: Forecasting Patent Citations and Their Types.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Modeling Contagious Merger and Acquisition via Point Processes with a Profile Regression Prior.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

On Modeling and Predicting Individual Paper Citation Count over Time.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016


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