Hangwei Qian

According to our database, Hangwei Qian authored at least 25 papers between 2007 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Augmentation blending with clustering-aware outlier factor: An outlier-driven perspective for enhanced contrastive learning.

Qianwen Meng, Hangwei Qian, Yonghui Xu, Lizhen Cui

Knowl. Based Syst., 2024

Cross-Context Backdoor Attacks against Graph Prompt Learning.

Xiaoting Lyu, Yufei Han, Wei Wang, Hangwei Qian, Ivor W. Tsang, Xiangliang Zhang

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

CUDC: A Curiosity-Driven Unsupervised Data Collection Method with Adaptive Temporal Distances for Offline Reinforcement Learning.

Chenyu Sun, Hangwei Qian, Chunyan Miao

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Unsupervised Representation Learning for Time Series: A Review.

Qianwen Meng, Hangwei Qian, Yong Liu, Yonghui Xu, Zhiqi Shen, Lizhen Cui

CoRR, 2023

Flexible and Robust Counterfactual Explanations with Minimal Satisfiable Perturbations.

Yongjie Wang, Hangwei Qian, Yongjie Liu, Wei Guo, Chunyan Miao

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

MHCCL: Masked Hierarchical Cluster-Wise Contrastive Learning for Multivariate Time Series.

Qianwen Meng, Hangwei Qian, Yong Liu, Lizhen Cui, Yonghui Xu, Zhiqi Shen

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

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

Chenyu Sun, Hangwei Qian, Chunyan Miao

CoRR, 2022

What Makes Good Contrastive Learning on Small-Scale Wearable-based Tasks?

Hangwei Qian, Tian Tian, Chunyan Miao

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.

Fei Luo, Hangwei Qian, Di Wang, Xu Guo, Yan Sun, Eng Sing Lee, Hui Hwang Teong, Ray Tian Rui Lai, Chunyan Miao

Proceedings of the International Joint Conference on Neural Networks, 2022

CCLF: A Contrastive-Curiosity-Driven Learning Framework for Sample-Efficient Reinforcement Learning.

Chenyu Sun, Hangwei Qian, Chunyan Miao

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

DualCF: Efficient Model Extraction Attack from Counterfactual Explanations.

Yongjie Wang, Hangwei Qian, Chunyan Miao

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.

Hangwei Qian, Sinno Jialin Pan, Chunyan Miao

Artif. Intell., 2021

Latent Independent Excitation for Generalizable Sensor-based Cross-Person Activity Recognition.

Hangwei Qian, Sinno Jialin Pan, Chunyan Miao

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2019

A Novel Distribution-Embedded Neural Network for Sensor-Based Activity Recognition.

Hangwei Qian, Sinno Jialin Pan, Bingshui Da, Chunyan Miao

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Distribution-Based Semi-Supervised Learning for Activity Recognition.

Hangwei Qian, Sinno Jialin Pan, Chunyan Miao

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Sensor-Based Activity Recognition via Learning From Distributions.

Hangwei Qian, Sinno Jialin Pan, Chunyan Miao

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2014

Mega Data Center for Elastic Internet Applications.

Hangwei Qian, Michael Rabinovich

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.

Hangwei Qian, Qian Lv

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.

Hangwei Qian, Michael Rabinovich

Proceedings of the 10th International Conference on Autonomic Computing, 2013

CSS: Facilitate the cloud service selection in IaaS platforms.

Hangwei Qian, Hualong Zu, Chenghua Cao, Qixin Wang

Proceedings of the 2013 International Conference on Collaboration Technologies and Systems, 2013

2012

Characteristics of backup workloads in production systems.

Grant Wallace, Fred Douglis, Hangwei Qian, Philip Shilane, Stephen Smaldone, Mark Chamness, Windsor Hsu

Proceedings of the 10th USENIX conference on File and Storage Technologies, 2012

2011

Content-aware Load Balancing for Distributed Backup.

Fred Douglis, Deepti Bhardwaj, Hangwei Qian, Philip Shilane

Proceedings of the Past, 2011

Bringing Local DNS Servers Close to Their Clients.

Hangwei Qian, Michael Rabinovich, Zakaria Al-Qudah

Proceedings of the Global Communications Conference, 2011

2010

Agile resource management in a virtualized data center.

Wei Zhang, Hangwei Qian, Craig E. Wills, Michael Rabinovich

Proceedings of the first joint WOSP/SIPEW International Conference on Performance Engineering, 2010

2007

Agility in virtualized utility computing.

Hangwei Qian, Elliot Miller, Wei Zhang, Michael Rabinovich, Craig E. Wills

Proceedings of the 2nd International Workshop on Virtualization Technology in Distributed Computing, 2007