Unmanned Aerial Vehicles Path Planning Based on Deep Reinforcement Learning. - Guoqiu Wang; Xuanyu Zheng; Haitong Zhao; Qidong Zhao; Changsheng Zhang 001; Bin Zhang 001 (ICNC-FSKD, 2019)

Comparative Study of Evolutionary Algorithms for Protein-Ligand Docking Problem on the AutoDock. - Zhuoran Liu 002; Changsheng Zhang 001; Qidong Zhao; Bin Zhang 001; Wenjuan Sun (SimuTools, 2019)

DrCCTProf: a fine-grained call path profiler for ARM-based clusters. - Qidong Zhao; Xu Liu 001; Milind Chabbi (SC, 2020)

A Many-Objective Squirrel Hybrid Optimization Algorithm: MaSHOA. - Zhuoran Liu 002; Fanhao Zhang; Xinyuan Wang; Qidong Zhao; Changsheng Zhang 001; Bin Zhang 001 (SimuTools (1), 2020)

A Novel Multi-objective Squirrel Search Algorithm: MOSSA. - Xinyuan Wang; Fanhao Zhang; Zhuoran Liu 002; Changsheng Zhang 001; Qidong Zhao; Bin Zhang 001 (SimuTools (2), 2020)

A multi-objective decomposition-based ant colony optimisation algorithm with negative pheromone. - Jiaxu Ning; Qidong Zhao; Peng Sun; Yunfei Feng (J. Exp. Theor. Artif. Intell., 2021)

A Novel Fireworks Algorithm for the Protein-Ligand Docking on the AutoDock. - Zhuoran Liu 002; Dingde Jiang; Changsheng Zhang 001; Haitong Zhao; Qidong Zhao; Bin Zhang 001 (Mob. Networks Appl., 2021)

OJXPERF: Featherlight Object Replica Detection for Java Programs. - Bolun Li; Hao Xu 048; Qidong Zhao; Pengfei Su 001; Milind Chabbi; Shuyin Jiao; Xu Liu 001 (ICSE, 2022)

The Research on Current Automated Driving ODD Regulations, Standards and Applications. - Chen Chen; Qidong Zhao; Zheng Tong; Zhai Yang; Xianglei Zhu (RCAR, 2022)

The Research on the Identification of ACC SOTIF Triggering Conditions Based on Scenario Analysis. - Qidong Zhao; Zheng Tong; Yunshuang Zhang; Chen Chao; Qingyu Zhang; Shuai Zhao; Zhibin Du (RCAR, 2022)

BinGo: Pinpointing Concurrency Bugs in Go via Binary Analysis. - Chongxin Zhong; Qidong Zhao; Xu Liu 001 (CoRR, 2022)

Research on Compressed sensing and Transmission Methods of Video Resources Based on Virtual Reality. - Jinyuan Liu; Yi Ma; Qidong Zhao; Yong Yu; Qing Chang; Yue Fang (ICCEIC, 2023)

DroidPerf: Profiling Memory Objects on Android Devices. - Bolun Li; Qidong Zhao; Shuyin Jiao; Xu Liu 001 (MobiCom, 2023)

DrPy: Pinpointing Inefficient Memory Usage in Multi-Layer Python Applications. - Jinku Cui; Qidong Zhao; Yueming Hao; Xu Liu 001 (CGO, 2024)

EasyView: Bringing Performance Profiles into Integrated Development Environments. - Qidong Zhao; Milind Chabbi; Xu Liu 001 (CGO, 2024)

Autost: Training-Free Neural Architecture Search For Spiking Transformers. - Ziqing Wang; Qidong Zhao; Jinku Cui; Xu Liu 001; Dongkuan Xu (ICASSP, 2024)

Purpose Enhanced Reasoning through Iterative Prompting: Uncover Latent Robustness of ChatGPT on Code Comprehension. - Yi Wang; Qidong Zhao; Dongkuan Xu; Xu Liu 001 (IJCAI, 2024)

DeepContext: A Context-aware, Cross-platform, and Cross-framework Tool for Performance Profiling and Analysis of Deep Learning Workloads. - Qidong Zhao; Hao Wu; Yuming Hao; Zilingfeng Ye; Jiajia Li 001; Xu Liu 001; Keren Zhou 001 (CoRR, 2024)