Huaizheng Zhang
Orcid: 0000-0002-0153-6400
According to our database1,
Huaizheng Zhang
authored at least 24 papers
between 2018 and 2023.
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Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2023
PRIOR: Personalized Prior for Reactivating the Information Overlooked in Federated Learning.
CoRR, 2023
MIGPerf: A Comprehensive Benchmark for Deep Learning Training and Inference Workloads on Multi-Instance GPUs.
CoRR, 2023
PRIOR: Personalized Prior for Reactivating the Information Overlooked in Federated Learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the IEEE International Conference on Acoustics, 2023
2022
Multimodal learning for quality of experience in video-to-retail applications: algorithms and deployment
PhD thesis, 2022
Spatial-Temporal Federated Learning for Lifelong Person Re-identification on Distributed Edges.
CoRR, 2022
CoRR, 2022
Towards Data-Efficient Continuous Learning for Edge Video Analytics via Smart Caching.
Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems, 2022
2021
ModelPS: An Interactive and Collaborative Platform for Editing Pre-trained Models at Scale.
CoRR, 2021
A Serverless Cloud-Fog Platform for DNN-Based Video Analytics with Incremental Learning.
CoRR, 2021
Missing Data Imputation for Solar Yield Prediction using Temporal Multi-Modal Variational Auto-Encoder.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021
2020
DeepQoE: A Multimodal Learning Framework for Video Quality of Experience (QoE) Prediction.
IEEE Trans. Multim., 2020
No more 996: Understanding Deep Learning Inference Serving with an Automatic Benchmarking System.
CoRR, 2020
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020
Look, Read and Feel: Benchmarking Ads Understanding with Multimodal Multitask Learning.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020
2019
Look, Read and Feel: Benchmarking Ads Understanding with Multimodal Multitask Learning.
CoRR, 2019
Content-Aware Personalised Rate Adaptation for Adaptive Streaming via Deep Video Analysis.
Proceedings of the 2019 IEEE International Conference on Communications, 2019
ResumeGAN: An Optimized Deep Representation Learning Framework for Talent-Job Fit via Adversarial Learning.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019
2018
Optimizing Quality of Experience for Adaptive Bitrate Streaming via Viewer Interest Inference.
IEEE Trans. Multim., 2018
Proceedings of the 2018 IEEE International Conference on Multimedia and Expo, 2018
Proceedings of the IEEE International Conference on Data Mining, 2018