Hangwei Qian

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 23

Top Topics

Data Collection

Activity Recognition

Driven Learning

Multivariate Time Series

Top Venues

Publications

Xiaoting Lyu, Yufei Han, Wei Wang, Hangwei Qian, Ivor Tsang, Xiangliang Zhang
Cross-Context Backdoor Attacks against Graph Prompt Learning. KDD (2024)
Chenyu Sun, Hangwei Qian, Chunyan Miao
CUDC: A Curiosity-Driven Unsupervised Data Collection Method with Adaptive Temporal Distances for Offline Reinforcement Learning. AAAI (2024)
Qianwen Meng, Hangwei Qian, Yonghui Xu, Lizhen Cui
Augmentation blending with clustering-aware outlier factor: An outlier-driven perspective for enhanced contrastive learning. Knowl. Based Syst. 299 (2024)
Xiaoting Lyu, Yufei Han, Wei Wang, Hangwei Qian, Ivor Tsang, Xiangliang Zhang
Cross-Context Backdoor Attacks against Graph Prompt Learning. CoRR (2024)
Chenyu Sun, Hangwei Qian, Chunyan Miao
CUDC: A Curiosity-Driven Unsupervised Data Collection Method with Adaptive Temporal Distances for Offline Reinforcement Learning. CoRR (2023)
Yongjie Wang, Hangwei Qian, Yongjie Liu, Wei Guo, Chunyan Miao
Flexible and Robust Counterfactual Explanations with Minimal Satisfiable Perturbations. CoRR (2023)
Yongjie Wang, Hangwei Qian, Yongjie Liu, Wei Guo, Chunyan Miao
Flexible and Robust Counterfactual Explanations with Minimal Satisfiable Perturbations. CIKM (2023)
Qianwen Meng, Hangwei Qian, Yong Liu, Lizhen Cui, Yonghui Xu, Zhiqi Shen
MHCCL: Masked Hierarchical Cluster-Wise Contrastive Learning for Multivariate Time Series. AAAI (2023)
Qianwen Meng, Hangwei Qian, Yong Liu, Yonghui Xu, Zhiqi Shen, Lizhen Cui
Unsupervised Representation Learning for Time Series: A Review. CoRR (2023)
Chenyu Sun, Hangwei Qian, Chunyan Miao
From Psychological Curiosity to Artificial Curiosity: Curiosity-Driven Learning in Artificial Intelligence Tasks. CoRR (2022)
Hangwei Qian, Tian Tian, Chunyan Miao
What Makes Good Contrastive Learning on Small-Scale Wearable-based Tasks? KDD (2022)
Qianwen Meng, Hangwei Qian, Yong Liu, Yonghui Xu, Zhiqi Shen, Lizhen Cui
MHCCL: Masked Hierarchical Cluster-wise Contrastive Learning for Multivariate Time Series. CoRR (2022)
Yongjie Wang, Hangwei Qian, Chunyan Miao
DualCF: Efficient Model Extraction Attack from Counterfactual Explanations. FAccT (2022)
Yongjie Wang, Hangwei Qian, Chunyan Miao
DualCF: Efficient Model Extraction Attack from Counterfactual Explanations. CoRR (2022)
Hangwei Qian, Tian Tian, Chunyan Miao
What Makes Good Contrastive Learning on Small-Scale Wearable-based Tasks? CoRR (2022)
Chenyu Sun, Hangwei Qian, Chunyan Miao
CCLF: A Contrastive-Curiosity-Driven Learning Framework for Sample-Efficient Reinforcement Learning. CoRR (2022)
Chenyu Sun, Hangwei Qian, Chunyan Miao
CCLF: A Contrastive-Curiosity-Driven Learning Framework for Sample-Efficient Reinforcement Learning. IJCAI (2022)
Fei Luo, Hangwei Qian, Di Wang, Xu Guo, Yan Sun, Eng Sing Lee, Hui Hwang Teong, Ray Tian Rui Lai, Chunyan Miao
Missing Value Imputation for Diabetes Prediction. IJCNN (2022)
Hangwei Qian, Sinno Jialin Pan, Chunyan Miao
Latent Independent Excitation for Generalizable Sensor-based Cross-Person Activity Recognition. AAAI (2021)
Hangwei Qian, Sinno Jialin Pan, Chunyan Miao
Weakly-supervised sensor-based activity segmentation and recognition via learning from distributions. Artif. Intell. 292 (2021)
Hangwei Qian, Sinno Jialin Pan, Chunyan Miao
Distribution-Based Semi-Supervised Learning for Activity Recognition. AAAI (2019)
Hangwei Qian, Sinno Jialin Pan, Bingshui Da, Chunyan Miao
A Novel Distribution-Embedded Neural Network for Sensor-Based Activity Recognition. IJCAI (2019)
Hangwei Qian, Sinno Jialin Pan, Chunyan Miao
Sensor-Based Activity Recognition via Learning From Distributions. AAAI (2018)
Hangwei Qian, Michael Rabinovich
Mega Data Center for Elastic Internet Applications. IPDPS Workshops (2014)
Hangwei Qian, Qian Lv
Proximity-Aware Cloud Selection and Virtual Machine Allocation in IaaS Cloud Platforms. SOSE (2013)
Hangwei Qian, Hualong Zu, Chenghua Cao, Qixin Wang
CSS: Facilitate the cloud service selection in IaaS platforms. CTS (2013)
Hangwei Qian, Michael Rabinovich
Application Placement and Demand Distribution in a Global Elastic Cloud: A Unified Approach. ICAC (2013)
Grant Wallace, Fred Douglis, Hangwei Qian, Philip Shilane, Stephen Smaldone, Mark Chamness, Windsor Hsu
Characteristics of backup workloads in production systems. FAST (2012)
Fred Douglis, Deepti Bhardwaj, Hangwei Qian, Philip Shilane
Content-aware Load Balancing for Distributed Backup. LISA (2011)
Hangwei Qian, Michael Rabinovich, Zakaria Al-Qudah
Bringing Local DNS Servers Close to Their Clients. GLOBECOM (2011)
Wei Zhang, Hangwei Qian, Craig E. Wills, Michael Rabinovich
Agile resource management in a virtualized data center. WOSP/SIPEW (2010)
Hangwei Qian, Elliot Miller, Wei Zhang, Michael Rabinovich, Craig E. Wills
Agility in virtualized utility computing. VTDC@SC (2007)