Agility in virtualized utility computing. - Hangwei Qian; Elliot Miller; Wei Zhang 024; Michael Rabinovich; Craig E. Wills (VTDC@SC, 2007)

Agile resource management in a virtualized data center. - Wei Zhang 024; Hangwei Qian; Craig E. Wills; Michael Rabinovich (WOSP/SIPEW, 2010)

Bringing Local DNS Servers Close to Their Clients. - Hangwei Qian; Michael Rabinovich; Zakaria Al-Qudah (GLOBECOM, 2011)

Content-aware Load Balancing for Distributed Backup. - Fred Douglis; Deepti Bhardwaj; Hangwei Qian; Philip Shilane (LISA, 2011)

Characteristics of backup workloads in production systems. - Grant Wallace; Fred Douglis; Hangwei Qian; Philip Shilane; Stephen Smaldone; Mark Chamness; Windsor Hsu (FAST, 2012)

CSS: Facilitate the cloud service selection in IaaS platforms. - Hangwei Qian; Hualong Zu; Chenghua Cao; Qixin Wang (CTS, 2013)

Application Placement and Demand Distribution in a Global Elastic Cloud: A Unified Approach. - Hangwei Qian; Michael Rabinovich (ICAC, 2013)

Proximity-Aware Cloud Selection and Virtual Machine Allocation in IaaS Cloud Platforms. - Hangwei Qian; Qian Lv (SOSE, 2013)

Mega Data Center for Elastic Internet Applications. - Hangwei Qian; Michael Rabinovich (IPDPS Workshops, 2014)

Sensor-Based Activity Recognition via Learning From Distributions. - Hangwei Qian; Sinno Jialin Pan; Chunyan Miao (AAAI, 2018)

Distribution-Based Semi-Supervised Learning for Activity Recognition. - Hangwei Qian; Sinno Jialin Pan; Chunyan Miao (AAAI, 2019)

A Novel Distribution-Embedded Neural Network for Sensor-Based Activity Recognition. - Hangwei Qian; Sinno Jialin Pan; Bingshui Da; Chunyan Miao (IJCAI, 2019)

Latent Independent Excitation for Generalizable Sensor-based Cross-Person Activity Recognition. - Hangwei Qian; Sinno Jialin Pan; Chunyan Miao (AAAI, 2021)

Weakly-supervised sensor-based activity segmentation and recognition via learning from distributions. - Hangwei Qian; Sinno Jialin Pan; Chunyan Miao (Artif. Intell., 2021)

DualCF: Efficient Model Extraction Attack from Counterfactual Explanations. - Yongjie Wang; Hangwei Qian; Chunyan Miao (FAccT, 2022)

CCLF: A Contrastive-Curiosity-Driven Learning Framework for Sample-Efficient Reinforcement Learning. - Chenyu Sun; Hangwei Qian; Chunyan Miao (IJCAI, 2022)

Missing Value Imputation for Diabetes Prediction. - Fei Luo; Hangwei Qian; Di Wang 004; Xu Guo 002; Yan Sun; Eng Sing Lee; Hui Hwang Teong; Ray Tian Rui Lai; Chunyan Miao (IJCNN, 2022)

What Makes Good Contrastive Learning on Small-Scale Wearable-based Tasks? - Hangwei Qian; Tian Tian 008; Chunyan Miao (KDD, 2022)

From Psychological Curiosity to Artificial Curiosity: Curiosity-Driven Learning in Artificial Intelligence Tasks. - Chenyu Sun; Hangwei Qian; Chunyan Miao (CoRR, 2022)

MHCCL: Masked Hierarchical Cluster-Wise Contrastive Learning for Multivariate Time Series. - Qianwen Meng; Hangwei Qian; Yong Liu 020; Lizhen Cui; Yonghui Xu; Zhiqi Shen 001 (AAAI, 2023)

Flexible and Robust Counterfactual Explanations with Minimal Satisfiable Perturbations. - Yongjie Wang; Hangwei Qian; Yongjie Liu; Wei Guo 017; Chunyan Miao (CIKM, 2023)

Unsupervised Representation Learning for Time Series: A Review. - Qianwen Meng; Hangwei Qian; Yong Liu 020; Yonghui Xu; Zhiqi Shen 001; Lizhen Cui (CoRR, 2023)

CUDC: A Curiosity-Driven Unsupervised Data Collection Method with Adaptive Temporal Distances for Offline Reinforcement Learning. - Chenyu Sun; Hangwei Qian; Chunyan Miao (AAAI, 2024)

SP-Aug: Towards Efficient Semantic-Preserving Augmentations in Contrastive Learning via Hierarchical Outlier Factor. - Qianwen Meng; Hangwei Qian; Yonghui Xu; Lizhen Cui (DASFAA (2), 2024)

Cross-Context Backdoor Attacks against Graph Prompt Learning. - Xiaoting Lyu; Yufei Han 001; Wei Wang 012; Hangwei Qian; Ivor W. Tsang; Xiangliang Zhang 001 (KDD, 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)

ChatGen: Automatic Text-to-Image Generation From FreeStyle Chatting. - Chengyou Jia; Changliang Xia; Zhuohang Dang; Weijia Wu; Hangwei Qian; Minnan Luo (CVPR, 2025)

Exploring the Effectiveness and Interpretability of Texts in LLM-based Time Series Models. - Zhengke Sun; Hangwei Qian; Ivor W. Tsang (CoRR, 2025)

FreRA: A Frequency-Refined Augmentation for Contrastive Learning on Time Series Classification. - Tian Tian 008; Chunyan Miao; Hangwei Qian (CoRR, 2025)

Multi-Modal Dataset Distillation in the Wild. - Zhuohang Dang; Minnan Luo; Chengyou Jia; Hangwei Qian; Xiaojun Chang; Ivor W. Tsang (CoRR, 2025)

Why Settle for One? Text-to-ImageSet Generation and Evaluation. - Chengyou Jia; Xin Shen; Zhuohang Dang; Zhuohang Dang; Changliang Xia; Weijia Wu; Xinyu Zhang; Hangwei Qian; Ivor W. Tsang; Minnan Luo (CoRR, 2025)

Uncover and unlearn nuisances: agnostic fully test-time adaptation. - Ponhvoan Srey; Yaxin Shi; Hangwei Qian; Jing Li 009; Ivor W. Tsang (Mach. Learn., 2025)