| 2026 | AAAI | Correspondence Coverage Matters for Multi-Modal Dataset Distillation. | Zhuohang Dang, Minnan Luo, Chengyou Jia, Hangwei Qian, Xinyu Zhang, Xiaojun Chang, Ivor W. Tsang |
| 2026 | AAAI | GenMatLab: A Generative Platform for Inverse Materials Design. | Hangwei Qian, Yang He, Yaxin Shi, Ivor W. Tsang |
| 2026 | KDD | Think2Go: Generative Next POI Recommendation with LLM Reasoning. | Zhuang Zhuang, Shanshan Feng, Hangwei Qian, Mingqi Yang, Heng Qi, Yanming Shen, Baocai Yin |
| 2025 | CVPR | ChatGen: Automatic Text-to-Image Generation From FreeStyle Chatting. | Chengyou Jia, Changliang Xia, Zhuohang Dang, Weijia Wu, Hangwei Qian, Minnan Luo |
| 2025 | IJCAI | Grounding Open-Domain Knowledge from LLMs to Real-World Reinforcement Learning Tasks: A Survey. | Haiyan Yin, Hangwei Qian, Yaxin Shi, Ivor W. Tsang, Yew-Soon Ong |
| 2025 | KDD | FreRA: A Frequency-Refined Augmentation for Contrastive Learning on Time Series Classification. | Tian Tian, Chunyan Miao, Hangwei Qian |
| 2024 | AAAI | CUDC: A Curiosity-Driven Unsupervised Data Collection Method with Adaptive Temporal Distances for Offline Reinforcement Learning. | Chenyu Sun, Hangwei Qian, Chunyan Miao |
| 2024 | DASFAA | SP-Aug: Towards Efficient Semantic-Preserving Augmentations in Contrastive Learning via Hierarchical Outlier Factor. | Qianwen Meng, Hangwei Qian, Yonghui Xu, Lizhen Cui |
| 2024 | KDD | Cross-Context Backdoor Attacks against Graph Prompt Learning. | Xiaoting Lyu, Yufei Han, Wei Wang, Hangwei Qian, Ivor W. Tsang, Xiangliang Zhang |
| 2023 | AAAI | MHCCL: Masked Hierarchical Cluster-Wise Contrastive Learning for Multivariate Time Series. | Qianwen Meng, Hangwei Qian, Yong Liu, Lizhen Cui, Yonghui Xu, Zhiqi Shen |
| 2023 | CIKM | Flexible and Robust Counterfactual Explanations with Minimal Satisfiable Perturbations. | Yongjie Wang, Hangwei Qian, Yongjie Liu, Wei Guo, Chunyan Miao |
| 2022 | IJCAI | CCLF: A Contrastive-Curiosity-Driven Learning Framework for Sample-Efficient Reinforcement Learning. | Chenyu Sun, Hangwei Qian, Chunyan Miao |
| 2022 | IJCNN | 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 |
| 2022 | KDD | What Makes Good Contrastive Learning on Small-Scale Wearable-based Tasks? | Hangwei Qian, Tian Tian, Chunyan Miao |
| 2021 | AAAI | Latent Independent Excitation for Generalizable Sensor-based Cross-Person Activity Recognition. | Hangwei Qian, Sinno Jialin Pan, Chunyan Miao |
| 2019 | AAAI | Distribution-Based Semi-Supervised Learning for Activity Recognition. | Hangwei Qian, Sinno Jialin Pan, Chunyan Miao |
| 2019 | IJCAI | A Novel Distribution-Embedded Neural Network for Sensor-Based Activity Recognition. | Hangwei Qian, Sinno Jialin Pan, Bingshui Da, Chunyan Miao |
| 2018 | AAAI | Sensor-Based Activity Recognition via Learning From Distributions. | Hangwei Qian, Sinno Jialin Pan, Chunyan Miao |
| 2012 | FAST | Characteristics of backup workloads in production systems. | Grant Wallace, Fred Douglis, Hangwei Qian, Philip Shilane, Stephen Smaldone, Mark Chamness, Windsor Hsu |
| 2011 | GLOBECOM | Bringing Local DNS Servers Close to Their Clients. | Hangwei Qian, Michael Rabinovich, Zakaria Al-Qudah |
| 2007 | SC | Agility in virtualized utility computing. | Hangwei Qian, Elliot Miller, Wei Zhang, Michael Rabinovich, Craig E. Wills |