Zhengtao Wu

Orcid: 0000-0002-3305-7316

According to our database1, Zhengtao Wu authored at least 11 papers between 2018 and 2023.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
MultiSense: Cross-labelling and Learning Human Activities Using Multimodal Sensing Data.
ACM Trans. Sens. Networks, August, 2023

PUFFER: A Routability-Driven Placement Framework via Cell Padding with Multiple Features and Strategy Exploration.
Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

2022
Unconstrained face sketch synthesis via perception-adaptive network and a new benchmark.
Neurocomputing, 2022

HairGAN: Spatial-Aware Palette GAN for Hair Color Transfer.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

Multimodal Crowd Counting with Mutual Attention Transformers.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

2021
Efficient Ad-level Impression Forecasting based on Monotonicity and Sampling.
Proceedings of the 7th International Conference on Big Data Computing and Communications, 2021

2020
A Request-level Guaranteed Delivery Advertising Planning: Forecasting and Allocation.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

High-quality Activity-Level Video Advertising.
Proceedings of the 28th IEEE/ACM International Symposium on Quality of Service, 2020

2019
Poster: Cross Labelling and Learning Unknown Activities Among Multimodal Sensing Data.
Proceedings of the 25th Annual International Conference on Mobile Computing and Networking, 2019

Large-scale User Visits Understanding and Forecasting with Deep Spatial-Temporal Tensor Factorization Framework.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

2018
A Reinforcement Learning Framework for Explainable Recommendation.
Proceedings of the IEEE International Conference on Data Mining, 2018


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