Image Classification Based on SURF and KNN. - Jiadong Guo; Xiaohong Wang (ICIS, 2019)

Adaptive Regularization of Labels. - Qianggang Ding; Sifan Wu; Hao Sun; Jiadong Guo; Shu-Tao Xia (CoRR, 2019)

Unsupervised Star Galaxy Classification with Cascade Variational Auto-Encoder. - Hao Sun; Jiadong Guo; Edward J. Kim 003; Robert J. Brunner (CoRR, 2019)

Local Descriptor for Robust Place Recognition Using LiDAR Intensity. - Jiadong Guo; Paulo V. K. Borges; Chanoh Park; Abel Gawel (IEEE Robotics Autom. Lett., 2019)

Robust Photogeometric Localization Over Time for Map-Centric Loop Closure. - Chanoh Park; Soohwan Kim; Peyman Moghadam; Jiadong Guo; Sridha Sridharan; Clinton Fookes (IEEE Robotics Autom. Lett., 2019)

Hierarchical Multi-Scale Gaussian Transformer for Stock Movement Prediction. - Qianggang Ding; Sifan Wu; Hao Sun; Jiadong Guo; Jian Guo (IJCAI, 2020)

Knowledge Refinery: Learning from Decoupled Label. - Qianggang Ding; Sifan Wu; Tao Dai 001; Hao Sun; Jiadong Guo; Zhang-Hua Fu; Shutao Xia (AAAI, 2021)

Safe Exploration by Solving Early Terminated MDP. - Hao Sun; Ziping Xu; Meng Fang; Zhenghao Peng; Jiadong Guo; Bo Dai 002; Bolei Zhou (CoRR, 2021)

Instant messaging user geolocating method based on multi-source information association. - Jiadong Guo; Rui Xu; Wenqi Shi; Pei Zhou; Xiangyang Luo (Int. J. Sens. Networks, 2021)

Where Are WeChat Users: A Geolocation Method Based on User Missequence State Analysis. - Wenqi Shi; Xiangyang Luo; Jiadong Guo; Chong Liu; Fenlin Liu (IEEE Trans. Comput. Soc. Syst., 2021)

CompilerGym: Robust, Performant Compiler Optimization Environments for AI Research. - Chris Cummins; Bram Wasti; Jiadong Guo; Brandon Cui; Jason Ansel; Sahir Gomez; Somya Jain; Jia Liu; Olivier Teytaud; Benoit Steiner; Yuandong Tian; Hugh Leather (CGO, 2022)

Learning Compiler Pass Orders using Coreset and Normalized Value Prediction. - Youwei Liang; Kevin Stone; Ali Shameli; Chris Cummins; Mostafa Elhoushi; Jiadong Guo; Benoit Steiner; Xiaomeng Yang; Pengtao Xie; Hugh James Leather; Yuandong Tian (ICML, 2023)

HXPY: A High-Performance Data Processing Package for Financial Time-Series Data. - Jiadong Guo; Jingshu Peng; Hang Yuan; Lionel Ming-shuan Ni (J. Comput. Sci. Technol., 2023)

QuantBench: Benchmarking AI Methods for Quantitative Investment. - Saizhuo Wang; Hao Kong; Jiadong Guo; Fengrui Hua; Yiyan Qi; Wanyun Zhou; Jiahao Zheng 009; Xinyu Wang; Lionel M. Ni; Jian Guo (CoRR, 2025)