Hangwei Qian

Orcid: 0000-0003-4831-0748

According to our database1, Hangwei Qian authored at least 24 papers between 2007 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
CUDC: A Curiosity-Driven Unsupervised Data Collection Method with Adaptive Temporal Distances for Offline Reinforcement Learning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Unsupervised Representation Learning for Time Series: A Review.
CoRR, 2023

Flexible and Robust Counterfactual Explanations with Minimal Satisfiable Perturbations.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

MHCCL: Masked Hierarchical Cluster-Wise Contrastive Learning for Multivariate Time Series.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
MHCCL: Masked Hierarchical Cluster-wise Contrastive Learning for Multivariate Time Series.
CoRR, 2022

From Psychological Curiosity to Artificial Curiosity: Curiosity-Driven Learning in Artificial Intelligence Tasks.
CoRR, 2022

What Makes Good Contrastive Learning on Small-Scale Wearable-based Tasks?
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Missing Value Imputation for Diabetes Prediction.
Proceedings of the International Joint Conference on Neural Networks, 2022

CCLF: A Contrastive-Curiosity-Driven Learning Framework for Sample-Efficient Reinforcement Learning.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

DualCF: Efficient Model Extraction Attack from Counterfactual Explanations.
Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

2021
Weakly-supervised sensor-based activity segmentation and recognition via learning from distributions.
Artif. Intell., 2021

Latent Independent Excitation for Generalizable Sensor-based Cross-Person Activity Recognition.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2019
A Novel Distribution-Embedded Neural Network for Sensor-Based Activity Recognition.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Distribution-Based Semi-Supervised Learning for Activity Recognition.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Sensor-Based Activity Recognition via Learning From Distributions.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2014
Mega Data Center for Elastic Internet Applications.
Proceedings of the 2014 IEEE International Parallel & Distributed Processing Symposium Workshops, 2014

2013
Proximity-Aware Cloud Selection and Virtual Machine Allocation in IaaS Cloud Platforms.
Proceedings of the Seventh IEEE International Symposium on Service-Oriented System Engineering, 2013

Application Placement and Demand Distribution in a Global Elastic Cloud: A Unified Approach.
Proceedings of the 10th International Conference on Autonomic Computing, 2013

CSS: Facilitate the cloud service selection in IaaS platforms.
Proceedings of the 2013 International Conference on Collaboration Technologies and Systems, 2013

2012
Characteristics of backup workloads in production systems.
Proceedings of the 10th USENIX conference on File and Storage Technologies, 2012

2011
Content-aware Load Balancing for Distributed Backup.
Proceedings of the Past, 2011

Bringing Local DNS Servers Close to Their Clients.
Proceedings of the Global Communications Conference, 2011

2010
Agile resource management in a virtualized data center.
Proceedings of the first joint WOSP/SIPEW International Conference on Performance Engineering, 2010

2007
Agility in virtualized utility computing.
Proceedings of the 2nd International Workshop on Virtualization Technology in Distributed Computing, 2007


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