| 2026 | SIGGRAPH | A Nonlocal Unified Variational Framework for Free Surface Flows. | Shusen Liu, Yuzhong Guo, Lixin Ren, Ying Qiao, Xiaowei He |
| 2025 | IJCNN | Decentralized Multi-Agent Task Offloading in LEO Satellite Edge Computing. | Juan Luo, Changyuan Ren, Ying Qiao, Kexuan Feng, Shuyang Teng, Fan Li |
| 2025 | PG | An Adaptive Particle Fission-Fusion Approach for Dual-Particle SPH Fluid. | Shusen Liu, Yuzhong Guo, Ying Qiao, Xiaowei He |
| 2025 | SecureComm | Security-Aware and Energy-Efficient Federated Learning in LEO Satellite Edge Micro-clouds: A Noise-Adaptive Allocation Framework. | Shuyang Teng, Ying Qiao, Juan Luo, Guogen Zeng |
| 2024 | COCOON | An On-Orbit Data Balancing Online Algorithm For LEO Satellite Cluster: A Repeated Stochastic Game Approach. | Ying Qiao, Juan Luo, Shuyang Teng |
| 2024 | HPCC | Computation Offloading Scheduling Using Game Abstraction in Ultra-dense Networks. | Chun Wang, Ying Qiao, Luxiu Yin, Juan Luo |
| 2024 | ICCD | RTDeepEnsemble: Real-Time DNN Ensemble Method for Machine Perception Systems. | Zitong Bo, Chaoping Guo, Chang Leng, Ying Qiao, Hongan Wang |
| 2024 | ICWS | A Framework for QoS of Integration Testing in Satellite Edge Clouds. | Guogen Zeng, Juan Luo, Yufeng Zhang, Ying Qiao, Shuyang Teng |
| 2024 | NPC | Task Offloading Optimization in Multi-layer LEO Satellite-Terrestrial Integrated Networks with Hybrid Cloud and Edge Computing. | Juan Luo, Weiyu Yin, Ying Qiao, Shuyang Teng |
| 2023 | CIKM | THGNN: An Embedding-based Model for Anomaly Detection in Dynamic Heterogeneous Social Networks. | Yilin Li, Jiaqi Zhu, Congcong Zhang, Yi Yang, Jiawen Zhang, Ying Qiao, Hongan Wang |
| 2022 | VR | Semi-Analytical Surface Tension Model for Free Surface Flows. | Nurshat Menglik, Hebin Yao, Yi Zheng, Jian Shi, Ying Qiao, Xiaowei He |
| 2021 | ACL | PENS: A Dataset and Generic Framework for Personalized News Headline Generation. | Xiang Ao, Xiting Wang, Ling Luo, Ying Qiao, Qing He, Xing Xie |
| 2021 | RTAS | Developing Real-Time Scheduling Policy by Deep Reinforcement Learning. | Zitong Bo, Ying Qiao, Chang Leng, Hongan Wang, Chaoping Guo, Shaohui Zhang |
| 2020 | ACL | MIND: A Large-scale Dataset for News Recommendation. | Fangzhao Wu, Ying Qiao, Jiun-Hung Chen, Chuhan Wu, Tao Qi, Jianxun Lian, Danyang Liu, Xing Xie, Jianfeng Gao, Winnie Wu, Ming Zhou |
| 2020 | EMNLP | XGLUE: A New Benchmark Datasetfor Cross-lingual Pre-training, Understanding and Generation. | Yaobo Liang, Nan Duan, Yeyun Gong, Ning Wu, Fenfei Guo, Weizhen Qi, Ming Gong, Linjun Shou, Daxin Jiang, Guihong Cao, Xiaodong Fan, Ruofei Zhang, Rahul Agrawal, Edward Cui, Sining Wei, Taroon Bharti, Ying Qiao, Jiun-Hung Chen, Winnie Wu, Shuguang Liu, Fan Yang, Daniel Campos, Rangan Majumder, Ming Zhou |
| 2020 | RecSys | KRED: Knowledge-Aware Document Representation for News Recommendations. | Danyang Liu, Jianxun Lian, Shiyin Wang, Ying Qiao, Jiun-Hung Chen, Guangzhong Sun, Xing Xie |
| 2014 | SDM | Discovery of Rare Sequential Topic Patterns in Document Stream. | Zhongyi Hu, Hongan Wang, Jiaqi Zhu, Maozhen Li, Ying Qiao, Changzhi Deng |
| 2013 | RTCSA | A new utilization based admission control algorithm for aperiodic tasks with constant time complexity under EDF scheduling. | Chang Leng, Ying Qiao, Hongan Wang, Jian Liu, Xiaoqing Zhang |
| 2011 | VINCI | Visualizing inference process of a rule engine. | Jian Shi, Ying Qiao, Hongan Wang |
| 2009 | ICPADS | A Diffusive Load Balancing Scheme for Clustered Peer-to-Peer Systems. | Ying Qiao, Gregor von Bochmann |
| 2007 | SAC | Developing event-condition-action rules in real-time active database. | Ying Qiao, Kang Zhong, Hongan Wang, Xiang Li |
| 2005 | ICCS | A High-Order Recursive Quadratic Learning Algorithm. | Qi Zhu, Shaohua Tan, Ying Qiao |
| 2004 | CATA | Design Automation Method for Software Development in Complex Embedded Systems. | Ying Qiao, Luqi, Lynn Zhang |
| 2003 | RSP | Comparative Rapid Prototyping, A Case Study. | Luqi, Man-tak Shing, Joseph Puett, Valdis Berzins, Zhiwei Guan, Ying Qiao, Lynn Zhang, Nabendu Chaki, Xianzhong Liang, Bill Ray, Michael Brown, David L. Floodeen |
| 1999 | IJCNN | Self-creating and adaptive learning of RBF networks: merging soft-competition clustering algorithm with network growth technique. | Nanning Zheng, Zhihua Zhang, Gang Shi, Ying Qiao |