Hangwei Qian - RankMe

51 papers A* 13A 2B 2Journal 23Unranked 11

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Correspondence Coverage Matters for Multi-Modal Dataset Distillation. AAAI Zhuohang Dang, Minnan Luo, Chengyou Jia, Hangwei Qian, Xinyu Zhang, Xiaojun Chang, Ivor W. Tsang
2026	J	`jnl`	Flow-Factory: A Unified Framework for Reinforcement Learning in Flow-Matching Models. CoRR Bowen Ping, Chengyou Jia, Minnan Luo, Hangwei Qian, Ivor W. Tsang
2026	A*	`conf`	GenMatLab: A Generative Platform for Inverse Materials Design. AAAI Hangwei Qian, Yang He, Yaxin Shi, Ivor W. Tsang
2026	J	`jnl`	Knowledge is Power: Advancing Few-shot Action Recognition with Multimodal Semantics from MLLMs. CoRR Jiazheng Xing, Chao Xu, Hangjie Yuan, Mengmeng Wang, Jun Dan, Hangwei Qian, Yong Liu
2026	J	`jnl`	Learning ORDER-Aware Multimodal Representations for Composite Materials Design. CoRR Xinyao Li, Hangwei Qian, Jingjing Li, Ivor W. Tsang
2026	J	`jnl`	SCOUT-RAG: Scalable and Cost-Efficient Unifying Traversal for Agentic Graph-RAG over Distributed Domains. CoRR Longkun Li, Yuanben Zou, Jinghan Wu, Yuqing Wen, Jing Li, Hangwei Qian, Ivor W. Tsang
2026	—	`conf`	Think2Go: Generative Next POI Recommendation with LLM Reasoning. KDD (1) Zhuang Zhuang, Shanshan Feng, Hangwei Qian, Mingqi Yang, Heng Qi, Yanming Shen, Baocai Yin
2025	A*	`conf`	ChatGen: Automatic Text-to-Image Generation From FreeStyle Chatting. CVPR Chengyou Jia, Changliang Xia, Zhuohang Dang, Weijia Wu, Hangwei Qian, Minnan Luo
2025	J	`jnl`	Exploring the Effectiveness and Interpretability of Texts in LLM-based Time Series Models. CoRR Zhengke Sun, Hangwei Qian, Ivor W. Tsang
2025	—	`conf`	FreRA: A Frequency-Refined Augmentation for Contrastive Learning on Time Series Classification. KDD (2) Tian Tian, Chunyan Miao, Hangwei Qian
2025	J	`jnl`	FreRA: A Frequency-Refined Augmentation for Contrastive Learning on Time Series Classification. CoRR Tian Tian, Chunyan Miao, Hangwei Qian
2025	A*	`conf`	Grounding Open-Domain Knowledge from LLMs to Real-World Reinforcement Learning Tasks: A Survey. IJCAI Haiyan Yin, Hangwei Qian, Yaxin Shi, Ivor W. Tsang, Yew-Soon Ong
2025	J	`jnl`	Multi-Modal Dataset Distillation in the Wild. CoRR Zhuohang Dang, Minnan Luo, Chengyou Jia, Hangwei Qian, Xiaojun Chang, Ivor W. Tsang
2025	J	`jnl`	PaCo-RL: Advancing Reinforcement Learning for Consistent Image Generation with Pairwise Reward Modeling. CoRR Bowen Ping, Chengyou Jia, Minnan Luo, Changliang Xia, Xin Shen, Zhuohang Dang, Hangwei Qian
2025	J	`jnl`	Uncover and Unlearn Nuisances: Agnostic Fully Test-Time Adaptation. CoRR Ponhvoan Srey, Yaxin Shi, Hangwei Qian, Jing Li, Ivor W. Tsang
2025	J	`jnl`	Uncover and unlearn nuisances: agnostic fully test-time adaptation. Mach. Learn. Ponhvoan Srey, Yaxin Shi, Hangwei Qian, Jing Li, Ivor W. Tsang
2025	J	`jnl`	Why Settle for One? Text-to-ImageSet Generation and Evaluation. CoRR Chengyou Jia, Xin Shen, Zhuohang Dang, Changliang Xia, Weijia Wu, Xinyu Zhang, Hangwei Qian, Ivor W. Tsang, Minnan Luo
2024	J	`jnl`	Augmentation blending with clustering-aware outlier factor: An outlier-driven perspective for enhanced contrastive learning. Knowl. Based Syst. Qianwen Meng, Hangwei Qian, Yonghui Xu, Lizhen Cui
2024	A*	`conf`	CUDC: A Curiosity-Driven Unsupervised Data Collection Method with Adaptive Temporal Distances for Offline Reinforcement Learning. AAAI Chenyu Sun, Hangwei Qian, Chunyan Miao
2024	J	`jnl`	ChatGen: Automatic Text-to-Image Generation From FreeStyle Chatting. CoRR Chengyou Jia, Changliang Xia, Zhuohang Dang, Weijia Wu, Hangwei Qian, Minnan Luo
2024	A*	`conf`	Cross-Context Backdoor Attacks against Graph Prompt Learning. KDD Xiaoting Lyu, Yufei Han, Wei Wang, Hangwei Qian, Ivor W. Tsang, Xiangliang Zhang
2024	J	`jnl`	Cross-Context Backdoor Attacks against Graph Prompt Learning. CoRR Xiaoting Lyu, Yufei Han, Wei Wang, Hangwei Qian, Ivor W. Tsang, Xiangliang Zhang
2024	—	`conf`	SP-Aug: Towards Efficient Semantic-Preserving Augmentations in Contrastive Learning via Hierarchical Outlier Factor. DASFAA (2) Qianwen Meng, Hangwei Qian, Yonghui Xu, Lizhen Cui
2023	J	`jnl`	CUDC: A Curiosity-Driven Unsupervised Data Collection Method with Adaptive Temporal Distances for Offline Reinforcement Learning. CoRR Chenyu Sun, Hangwei Qian, Chunyan Miao
2023	A	`conf`	Flexible and Robust Counterfactual Explanations with Minimal Satisfiable Perturbations. CIKM Yongjie Wang, Hangwei Qian, Yongjie Liu, Wei Guo, Chunyan Miao
2023	J	`jnl`	Flexible and Robust Counterfactual Explanations with Minimal Satisfiable Perturbations. CoRR Yongjie Wang, Hangwei Qian, Yongjie Liu, Wei Guo, Chunyan Miao
2023	A*	`conf`	MHCCL: Masked Hierarchical Cluster-Wise Contrastive Learning for Multivariate Time Series. AAAI Qianwen Meng, Hangwei Qian, Yong Liu, Lizhen Cui, Yonghui Xu, Zhiqi Shen
2023	J	`jnl`	Unsupervised Representation Learning for Time Series: A Review. CoRR Qianwen Meng, Hangwei Qian, Yong Liu, Yonghui Xu, Zhiqi Shen, Lizhen Cui
2022	A*	`conf`	CCLF: A Contrastive-Curiosity-Driven Learning Framework for Sample-Efficient Reinforcement Learning. IJCAI Chenyu Sun, Hangwei Qian, Chunyan Miao
2022	J	`jnl`	CCLF: A Contrastive-Curiosity-Driven Learning Framework for Sample-Efficient Reinforcement Learning. CoRR Chenyu Sun, Hangwei Qian, Chunyan Miao
2022	—	`conf`	DualCF: Efficient Model Extraction Attack from Counterfactual Explanations. FAccT Yongjie Wang, Hangwei Qian, Chunyan Miao
2022	J	`jnl`	DualCF: Efficient Model Extraction Attack from Counterfactual Explanations. CoRR Yongjie Wang, Hangwei Qian, Chunyan Miao
2022	J	`jnl`	From Psychological Curiosity to Artificial Curiosity: Curiosity-Driven Learning in Artificial Intelligence Tasks. CoRR Chenyu Sun, Hangwei Qian, Chunyan Miao
2022	J	`jnl`	MHCCL: Masked Hierarchical Cluster-wise Contrastive Learning for Multivariate Time Series. CoRR Qianwen Meng, Hangwei Qian, Yong Liu, Yonghui Xu, Zhiqi Shen, Lizhen Cui
2022	B	`conf`	Missing Value Imputation for Diabetes Prediction. IJCNN Fei Luo, Hangwei Qian, Di Wang, Xu Guo, Yan Sun, Eng Sing Lee, Hui Hwang Teong, Ray Tian Rui Lai, Chunyan Miao
2022	A*	`conf`	What Makes Good Contrastive Learning on Small-Scale Wearable-based Tasks? KDD Hangwei Qian, Tian Tian, Chunyan Miao
2022	J	`jnl`	What Makes Good Contrastive Learning on Small-Scale Wearable-based Tasks? CoRR Hangwei Qian, Tian Tian, Chunyan Miao
2021	A*	`conf`	Latent Independent Excitation for Generalizable Sensor-based Cross-Person Activity Recognition. AAAI Hangwei Qian, Sinno Jialin Pan, Chunyan Miao
2021	J	`jnl`	Weakly-supervised sensor-based activity segmentation and recognition via learning from distributions. Artif. Intell. Hangwei Qian, Sinno Jialin Pan, Chunyan Miao
2019	A*	`conf`	A Novel Distribution-Embedded Neural Network for Sensor-Based Activity Recognition. IJCAI Hangwei Qian, Sinno Jialin Pan, Bingshui Da, Chunyan Miao
2019	A*	`conf`	Distribution-Based Semi-Supervised Learning for Activity Recognition. AAAI Hangwei Qian, Sinno Jialin Pan, Chunyan Miao
2018	A*	`conf`	Sensor-Based Activity Recognition via Learning From Distributions. AAAI Hangwei Qian, Sinno Jialin Pan, Chunyan Miao
2014	—	`conf`	Mega Data Center for Elastic Internet Applications. IPDPS Workshops Hangwei Qian, Michael Rabinovich
2013	—	`conf`	Application Placement and Demand Distribution in a Global Elastic Cloud: A Unified Approach. ICAC Hangwei Qian, Michael Rabinovich
2013	—	`conf`	CSS: Facilitate the cloud service selection in IaaS platforms. CTS Hangwei Qian, Hualong Zu, Chenghua Cao, Qixin Wang
2013	—	`conf`	Proximity-Aware Cloud Selection and Virtual Machine Allocation in IaaS Cloud Platforms. SOSE Hangwei Qian, Qian Lv
2012	A	`conf`	Characteristics of backup workloads in production systems. FAST Grant Wallace, Fred Douglis, Hangwei Qian, Philip Shilane, Stephen Smaldone, Mark Chamness, Windsor Hsu
2011	B	`conf`	Bringing Local DNS Servers Close to Their Clients. GLOBECOM Hangwei Qian, Michael Rabinovich, Zakaria Al-Qudah
2011	—	`conf`	Content-aware Load Balancing for Distributed Backup. LISA Fred Douglis, Deepti Bhardwaj, Hangwei Qian, Philip Shilane
2010	—	`conf`	Agile resource management in a virtualized data center. WOSP/SIPEW Wei Zhang, Hangwei Qian, Craig E. Wills, Michael Rabinovich
2007	—	`conf`	Agility in virtualized utility computing. VTDC@SC Hangwei Qian, Elliot Miller, Wei Zhang, Michael Rabinovich, Craig E. Wills