| Net: Augmented Parallel-Pyramid Net for Attention Guided Pose Estimation L Hou, J Cao, Y Zhao, H Shen, J Tang, R He 2020 25th International Conference on Pattern Recognition (ICPR), 9658-9665, 2021 | 1 | 2021 |
| A case presentation for positive SARS-CoV-2 RNA recurrence in a patient with a history of type 2 diabetes that had recovered from severe COVID-19 C Dou, X Xie, Z Peng, H Tang, Z Jiang, Z Zhong, J Tang Diabetes research and clinical practice 166, 108300, 2020 | 25 | 2020 |
| A co-scheduling framework for DNN models on mobile and edge devices with heterogeneous hardware Z Xu, D Yang, C Yin, J Tang, Y Wang, G Xue IEEE Transactions on Mobile Computing 22 (3), 1275-1288, 2021 | 12 | 2021 |
| A Comprehensive Overhaul of Multimodal Assistant with Small Language Models M Zhu, Y Zhu, X Liu, N Liu, Z Xu, C Shen, Y Peng, Z Ou, F Feng, J Tang arXiv preprint arXiv:2403.06199, 2024 | 1 | 2024 |
| A cross-job framework for MapReduce scheduling X Xiao, J Tang, Z Chen, J Xu, C Wang 2014 IEEE International Conference on Big Data (Big Data), 135-140, 2014 | 2 | 2014 |
| A deep recurrent neural network based predictive control framework for reliable distributed stream data processing J Xu, J Tang, Z Xu, C Yin, K Kwiat, C Kamhoua 2019 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2019 | 2 | 2019 |
| A deep reinforcement learning based framework for power-efficient resource allocation in cloud RANs Z Xu, Y Wang, J Tang, J Wang, MC Gursoy 2017 IEEE International Conference on Communications (ICC), 1-6, 2017 | 307 | 2017 |
| A descriptive pharmacokinetic/pharmacodynamic analysis of ceftazidime‐avibactam in a case series of critically ill patients with augmented renal clearance Y Xu, J Tang, B Yuan, X Luo, P Liang, N Liu, D Dong, L Jin, W Ge, Q Gu Pharmacology Research & Perspectives 12 (1), e01163, 2024 | | 2024 |
| A hierarchical framework of cloud resource allocation and power management using deep reinforcement learning N Liu, Z Li, J Xu, Z Xu, S Lin, Q Qiu, J Tang, Y Wang 2017 IEEE 37th international conference on distributed computing systems …, 2017 | 326 | 2017 |
| A meta-review of gamification research P Zhang, J Tang, E Jeong International Conference on Information, 361-373, 2021 | 5 | 2021 |
| A minimalist ensemble method for generalizable offline deep reinforcement learning K Wu, Y Zhao, Z Xu, Z Zhao, P Ren, Z Che, CH Liu, F Feng, J Tang ICLR 2022 Workshop on Generalizable Policy Learning in Physical World, 2022 | 2 | 2022 |
| A multi-modal approach for driver gaze prediction to remove identity bias Z Yu, X Huang, X Zhang, H Shen, Q Li, W Deng, J Tang, Y Yang, J Ye Proceedings of the 2020 International Conference on Multimodal Interaction …, 2020 | 14 | 2020 |
| A parallel platform for fusion of heterogeneous stream data S Zhang, J Xu, S Choi, J Tang, PK Varshney, Z Chen 2018 21st International Conference on Information Fusion (FUSION), 588-594, 2018 | 4 | 2018 |
| A predictive scheduling framework for fast and distributed stream data processing T Li, J Tang, J Xu IEEE BigData 2015: IEEE International Conference on Big Data, 333-338, 2015 | 45 | 2015 |
| A Profit Optimization Framework of Energy Storage Devices in Data Centers: Hierarchical Structure and Hybrid Types X Lin, M Pedram, J Tang, Y Wang 2016 IEEE 9th International Conference on Cloud Computing (CLOUD), 640-647, 2016 | | 2016 |
| A survey on robotics with foundation models: toward embodied ai Z Xu, K Wu, J Wen, J Li, N Liu, Z Che, J Tang arXiv preprint arXiv:2402.02385, 2024 | 2 | 2024 |
| A sybil-resistant truth discovery framework for mobile crowdsensing J Lin, D Yang, K Wu, J Tang, G Xue 2019 IEEE 39th International Conference on Distributed Computing Systems …, 2019 | 15 | 2019 |
| A systematic dnn weight pruning framework using alternating direction method of multipliers T Zhang, S Ye, K Zhang, J Tang, W Wen, M Fardad, Y Wang Proceedings of the European conference on computer vision (ECCV), 184-199, 2018 | 511 | 2018 |
| Academic and social achievement goal structures in college education P Zhang, J Tang, E Jeong INTED2022 Proceedings, 719-723, 2022 | 2 | 2022 |
| ACQL: An Adaptive Conservative Q-Learning Framework for Offline Reinforcement Learning K Wu, Y Zhao, Z Xu, Z Che, C Yin, CH Liu, Q Qiu, F Feng, J Tang | | |
Guoliang XueProfessor of Computer Science and Engineering, Arizona State University在 asu.edu 的电子邮件经过验证
