A Study of SQL-on-Hadoop Systems. - Yueguo Chen; Xiongpai Qin; Haoqiong Bian; Jun Chen 021; Zhaoan Dong; Xiaoyong Du 001; Yanjie Gao; Dehai Liu; Jiaheng Lu; Huijie Zhang (BPOE@ASPLOS/VLDB, 2014)

TR-Spark: Transient Computing for Big Data Analytics. - Ying Yan 006; Yanjie Gao; Yang Chen; Zhongxin Guo; Bole Chen; Thomas Moscibroda (SoCC, 2016)

VisDrone-SOT2019: The Vision Meets Drone Single Object Tracking Challenge Results. - Dawei Du; Yue Zhang 011; Liefeng Bo; Hailin Shi; Rui Zhu 005; Bo Han 003; Chunhui Zhang; Guizhong Liu; Han Wu; Hao Wen; Haoran Wang 008; Pengfei Zhu 001; et al. (ICCV Workshops, 2019)

Supervised Edge Attention Network for Accurate Image Instance Segmentation. - Xier Chen; Yanchao Lian; Licheng Jiao; Haoran Wang 008; Yanjie Gao; Lingling Shi (ECCV (27), 2020)

VisDrone-SOT2020: The Vision Meets Drone Single Object Tracking Challenge Results. - Heng Fan 001; Longyin Wen; Dawei Du; Pengfei Zhu 001; Qinghua Hu; Haibin Ling; Mubarak Shah; Biao Wang; Bin Dong 006; Di Yuan 002; Dong Wang 004; Dongjie Zhou; et al. (ECCV Workshops (4), 2020)

Estimating GPU memory consumption of deep learning models. - Yanjie Gao; Yu Liu; Hongyu Zhang 002; Zhengxian Li; Yonghao Zhu; Haoxiang Lin; Mao Yang 004 (ESEC/SIGSOFT FSE, 2020)

Resource-Guided Configuration Space Reduction for Deep Learning Models. - Yanjie Gao; Yonghao Zhu; Hongyu Zhang 002; Haoxiang Lin; Mao Yang 004 (ICSE, 2021)

REFTY: Refinement Types for Valid Deep Learning Models. - Yanjie Gao; Zhengxian Li; Haoxiang Lin; Hongyu Zhang 002; Ming Wu 007; Mao Yang 004 (ICSE, 2022)

GPU Occupancy Prediction of Deep Learning Models Using Graph Neural Network. - Hengquan Mei; Huaizhi Qu; Jingwei Sun 001; Yanjie Gao; Haoxiang Lin; Guangzhong Sun (CLUSTER, 2023)

Runtime Performance Prediction for Deep Learning Models with Graph Neural Network. - Yanjie Gao; Xianyu Gu; Hongyu Zhang 002; Haoxiang Lin; Mao Yang 004 (ICSE-SEIP, 2023)

An Empirical Study on Quality Issues of Deep Learning Platform. - Yanjie Gao; Xiaoxiang Shi; Haoxiang Lin; Hongyu Zhang 002; Hao Wu; Rui Li; Mao Yang 004 (ICSE-SEIP, 2023)

An Empirical Study on Low GPU Utilization of Deep Learning Jobs. - Yanjie Gao; Yichen He; Xinze Li; Bo Zhao; Haoxiang Lin; Yoyo Liang; Jing Zhong; Hongyu Zhang 002; Jingzhou Wang; Yonghua Zeng; Keli Gui; Jie Tong; et al. (ICSE, 2024)

FPRev: Revealing the Order of Floating-Point Summation by Numerical Testing. - Peichen Xie; Yanjie Gao; Jilong Xue (CoRR, 2024)

dl²: Detecting Communication Deadlocks in Deep Learning Jobs. - Yanjie Gao; Jiyu Luo; Haoxiang Lin; Hongyu Zhang 002; Ming Wu 007; Mao Yang 004 (SIGSOFT FSE Companion, 2025)

An Empirical Study of Issues in Large Language Model Training Systems. - Yanjie Gao; Ruiming Lu; Haoxiang Lin; Yueguo Chen (SIGSOFT FSE Companion, 2025)

Reduction Fusion for Optimized Distributed Data-Parallel Computations via Inverse Recomputation. - Haoxiang Lin; Yang Wang 053; Yanjie Gao; Hongyu Zhang 002; Ming Wu 007; Mao Yang 004 (SIGSOFT FSE Companion, 2025)

Revealing Floating-Point Accumulation Orders in Software/Hardware Implementations. - Peichen Xie; Yanjie Gao; Yang Wang; Jilong Xue (USENIX ATC, 2025)