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Hangwei Qian
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2020 – today
- 2024
- [j2]Qianwen Meng
, Hangwei Qian
Augmentation blending with clustering-aware outlier factor: An outlier-driven perspective for enhanced contrastive learning. Knowl. Based Syst. 299: 112014 (2024) - [c21]Chenyu Sun, Hangwei Qian, Chunyan Miao:
CUDC: A Curiosity-Driven Unsupervised Data Collection Method with Adaptive Temporal Distances for Offline Reinforcement Learning. AAAI 2024: 15145-15153 - [c20]Xiaoting Lyu
Cross-Context Backdoor Attacks against Graph Prompt Learning. KDD 2024: 2094-2105 - [i9]Xiaoting Lyu, Yufei Han, Wei Wang, Hangwei Qian, Ivor W. Tsang, Xiangliang Zhang:
Cross-Context Backdoor Attacks against Graph Prompt Learning. CoRR abs/2405.17984 (2024) - 2023
- [c19]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: 9153-9161 - [c18]Yongjie Wang
Flexible and Robust Counterfactual Explanations with Minimal Satisfiable Perturbations. CIKM 2023: 2596-2605 - [i8]Qianwen Meng, Hangwei Qian, Yong Liu, Yonghui Xu, Zhiqi Shen, Lizhen Cui:
Unsupervised Representation Learning for Time Series: A Review. CoRR abs/2308.01578 (2023) - [i7]Yongjie Wang, Hangwei Qian, Yongjie Liu, Wei Guo, Chunyan Miao:
Flexible and Robust Counterfactual Explanations with Minimal Satisfiable Perturbations. CoRR abs/2309.04676 (2023) - [i6]Chenyu Sun, Hangwei Qian, Chunyan Miao:
CUDC: A Curiosity-Driven Unsupervised Data Collection Method with Adaptive Temporal Distances for Offline Reinforcement Learning. CoRR abs/2312.12191 (2023) - 2022
- [c17]Yongjie Wang
DualCF: Efficient Model Extraction Attack from Counterfactual Explanations. FAccT 2022: 1318-1329 - [c16]Chenyu Sun, Hangwei Qian, Chunyan Miao:
CCLF: A Contrastive-Curiosity-Driven Learning Framework for Sample-Efficient Reinforcement Learning. IJCAI 2022: 3444-3450 - [c15]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: 1-8 - [c14]Hangwei Qian, Tian Tian, Chunyan Miao:
What Makes Good Contrastive Learning on Small-Scale Wearable-based Tasks? KDD 2022: 3761-3771 - [i5]Chenyu Sun, Hangwei Qian, Chunyan Miao:
From Psychological Curiosity to Artificial Curiosity: Curiosity-Driven Learning in Artificial Intelligence Tasks. CoRR abs/2201.08300 (2022) - [i4]Hangwei Qian, Tian Tian, Chunyan Miao:
What Makes Good Contrastive Learning on Small-Scale Wearable-based Tasks? CoRR abs/2202.05998 (2022) - [i3]Chenyu Sun, Hangwei Qian, Chunyan Miao:
CCLF: A Contrastive-Curiosity-Driven Learning Framework for Sample-Efficient Reinforcement Learning. CoRR abs/2205.00943 (2022) - [i2]Yongjie Wang, Hangwei Qian, Chunyan Miao:
DualCF: Efficient Model Extraction Attack from Counterfactual Explanations. CoRR abs/2205.06504 (2022) - [i1]Qianwen Meng, Hangwei Qian, Yong Liu, Yonghui Xu, Zhiqi Shen, Lizhen Cui:
MHCCL: Masked Hierarchical Cluster-wise Contrastive Learning for Multivariate Time Series. CoRR abs/2212.01141 (2022) - 2021
- [j1]Hangwei Qian
Weakly-supervised sensor-based activity segmentation and recognition via learning from distributions. Artif. Intell. 292: 103429 (2021) - [c13]Hangwei Qian, Sinno Jialin Pan, Chunyan Miao:
Latent Independent Excitation for Generalizable Sensor-based Cross-Person Activity Recognition. AAAI 2021: 11921-11929
2010 – 2019
- 2019
- [c12]Hangwei Qian, Sinno Jialin Pan, Chunyan Miao:
Distribution-Based Semi-Supervised Learning for Activity Recognition. AAAI 2019: 7699-7706 - [c11]Hangwei Qian
A Novel Distribution-Embedded Neural Network for Sensor-Based Activity Recognition. IJCAI 2019: 5614-5620 - 2018
- [c10]Hangwei Qian, Sinno Jialin Pan, Chunyan Miao:
Sensor-Based Activity Recognition via Learning From Distributions. AAAI 2018: 6262-6269 - 2014
- [c9]Hangwei Qian, Michael Rabinovich
Mega Data Center for Elastic Internet Applications. IPDPS Workshops 2014: 868-874 - 2013
- [c8]Hangwei Qian, Hualong Zu, Chenghua Cao, Qixin Wang:
CSS: Facilitate the cloud service selection in IaaS platforms. CTS 2013: 347-354 - [c7]Hangwei Qian, Michael Rabinovich:
Application Placement and Demand Distribution in a Global Elastic Cloud: A Unified Approach. ICAC 2013: 1-12 - [c6]Hangwei Qian, Qian Lv:
Proximity-Aware Cloud Selection and Virtual Machine Allocation in IaaS Cloud Platforms. SOSE 2013: 403-408 - 2012
- [c5]Grant Wallace, Fred Douglis, Hangwei Qian, Philip Shilane, Stephen Smaldone, Mark Chamness, Windsor Hsu:
Characteristics of backup workloads in production systems. FAST 2012: 4 - 2011
- [c4]Hangwei Qian, Michael Rabinovich
Bringing Local DNS Servers Close to Their Clients. GLOBECOM 2011: 1-6 - [c3]Fred Douglis, Deepti Bhardwaj, Hangwei Qian, Philip Shilane:
Content-aware Load Balancing for Distributed Backup. LISA 2011 - 2010
- [c2]Wei Zhang, Hangwei Qian, Craig E. Wills, Michael Rabinovich
Agile resource management in a virtualized data center. WOSP/SIPEW 2010: 129-140
2000 – 2009
- 2007
- [c1]Hangwei Qian, Elliot Miller, Wei Zhang, Michael Rabinovich
Agility in virtualized utility computing. VTDC@SC 2007: 9:1-9:8
Coauthor Index
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