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2020 – today
- 2024
[c14]Jinku Cui, Qidong Zhao, Yueming Hao, Xu Liu:
DrPy: Pinpointing Inefficient Memory Usage in Multi-Layer Python Applications. CGO 2024: 245-257- [c13]Qidong Zhao, Milind Chabbi, Xu Liu:
EasyView: Bringing Performance Profiles into Integrated Development Environments. CGO 2024: 386-398 - [c12]Ziqing Wang, Qidong Zhao, Jinku Cui, Xu Liu, Dongkuan Xu:
Autost: Training-Free Neural Architecture Search For Spiking Transformers. ICASSP 2024: 3455-3459 - [c11]Yi Wang, Qidong Zhao, Dongkuan Xu, Xu Liu:
Purpose Enhanced Reasoning through Iterative Prompting: Uncover Latent Robustness of ChatGPT on Code Comprehension. IJCAI 2024: 6513-6521 - [i5]Qidong Zhao, Hao Wu, Yuming Hao, Zilingfeng Ye, Jiajia Li, Xu Liu, Keren Zhou:
DeepContext: A Context-aware, Cross-platform, and Cross-framework Tool for Performance Profiling and Analysis of Deep Learning Workloads. CoRR abs/2411.02797 (2024) - 2023
- [c10]Jinyuan Liu, Yi Ma, Qidong Zhao, Yong Yu, Qing Chang, Yue Fang:
Research on Compressed sensing and Transmission Methods of Video Resources Based on Virtual Reality. ICCEIC 2023: 171-175 - [c9]Bolun Li
, Qidong Zhao, Shuyin Jiao, Xu Liu:
DroidPerf: Profiling Memory Objects on Android Devices. MobiCom 2023: 6:1-6:15 - [i4]Ziqing Wang, Qidong Zhao, Jinku Cui, Xu Liu, Dongkuan Xu:
AutoST: Training-free Neural Architecture Search for Spiking Transformers. CoRR abs/2307.00293 (2023) - [i3]Qidong Zhao, Milind Chabbi, Xu Liu:
EasyView: Bringing Performance Profiles into Integrated Development Environments. CoRR abs/2312.16598 (2023) - 2022
- [c8]Bolun Li, Hao Xu, Qidong Zhao, Pengfei Su, Milind Chabbi, Shuyin Jiao, Xu Liu:
OJXPERF: Featherlight Object Replica Detection for Java Programs. ICSE 2022: 1558-1570 - [c7]Qidong Zhao, Zheng Tong, Yunshuang Zhang, Chen Chao, Qingyu Zhang, Shuai Zhao, Zhibin Du:
The Research on the Identification of ACC SOTIF Triggering Conditions Based on Scenario Analysis. RCAR 2022: 263-266 - [c6]Chen Chen, Qidong Zhao, Zheng Tong, Zhai Yang, Xianglei Zhu:
The Research on Current Automated Driving ODD Regulations, Standards and Applications. RCAR 2022: 744-747 - [i2]Chongxin Zhong, Qidong Zhao, Xu Liu:
BinGo: Pinpointing Concurrency Bugs in Go via Binary Analysis. CoRR abs/2201.06753 (2022) - [i1]Bolun Li, Hao Xu, Qidong Zhao, Pengfei Su, Milind Chabbi, Shuyin Jiao, Xu Liu:
OJXPerf: Featherlight Object Replica Detection for Java Programs. CoRR abs/2203.12712 (2022) - 2021
- [j2]Jiaxu Ning, Qidong Zhao, Peng Sun, Yunfei Feng:
A multi-objective decomposition-based ant colony optimisation algorithm with negative pheromone. J. Exp. Theor. Artif. Intell. 33(5): 827-845 (2021) - [j1]Zhuoran Liu, Dingde Jiang, Changsheng Zhang, Haitong Zhao, Qidong Zhao, Bin Zhang:
A Novel Fireworks Algorithm for the Protein-Ligand Docking on the AutoDock. Mob. Networks Appl. 26(2): 657-668 (2021) - 2020
- [c5]Qidong Zhao, Xu Liu, Milind Chabbi:
DrCCTProf: a fine-grained call path profiler for ARM-based clusters. SC 2020: 30 - [c4]Xinyuan Wang, Fanhao Zhang, Zhuoran Liu, Changsheng Zhang, Qidong Zhao, Bin Zhang:
A Novel Multi-objective Squirrel Search Algorithm: MOSSA. SimuTools (2) 2020: 180-195 - [c3]Zhuoran Liu, Fanhao Zhang, Xinyuan Wang, Qidong Zhao, Changsheng Zhang, Bin Zhang:
A Many-Objective Squirrel Hybrid Optimization Algorithm: MaSHOA. SimuTools (1) 2020: 442-459
2010 – 2019
- 2019
- [c2]Guoqiu Wang, Xuanyu Zheng, Haitong Zhao, Qidong Zhao, Changsheng Zhang, Bin Zhang:
Unmanned Aerial Vehicles Path Planning Based on Deep Reinforcement Learning. ICNC-FSKD 2019: 81-88 - [c1]Zhuoran Liu, Changsheng Zhang, Qidong Zhao, Bin Zhang, Wenjuan Sun:
Comparative Study of Evolutionary Algorithms for Protein-Ligand Docking Problem on the AutoDock. SimuTools 2019: 598-607
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