Energy distribution and security control of hierarchical structure energy storage system. - Binxin Yin; Shihong Miao; Yaowang Li; Chang Ye; Xing Luo; Jihong Wang 002 (ICAC, 2017)

Blind Identification of Invertible Graph Filters with Multiple Sparse Inputs. - Chang Ye; Rasoul Shafipour; Gonzalo Mateos (EUSIPCO, 2018)

Online Tensor Decomposition and Imputation for Count Data. - Chang Ye; Gonzalo Mateos (DSW, 2019)

Rotation, Translation, and Cropping for Zero-Shot Generalization. - Chang Ye; Ahmed Khalifa 001; Philip Bontrager; Julian Togelius (CoG, 2020)

Flexible Resources Planning for Bulk Energy System With High Penetration of Renewable Energy Based on Bash Game. - Pan Hu; Cao Zixun; Hongkun Chen; Wang Yi 007; Chang Ye; Chen Qiao; Yimin Qian (IEEE Access, 2020)

Learning to Bundle Proactively for On-Demand Meal Delivery. - Chengbo Li; Lin Zhu; Guangyuan Fu; Longzhi Du; Canhua Zhao; Tianlun Ma; Chang Ye; Pei Lee (CIKM, 2021)

GPU-Accelerated Graph Label Propagation for Real-Time Fraud Detection. - Chang Ye; Yuchen Li 001; Bingsheng He; Zhao Li 007; Jianling Sun (SIGMOD Conference, 2021)

CleanRL: High-quality Single-file Implementations of Deep Reinforcement Learning Algorithms. - Shengyi Huang; Rousslan Fernand Julien Dossa; Chang Ye; Jeff Braga (CoRR, 2021)

A survey of typical attributed graph queries. - Yanhao Wang 001; Yuchen Li 001; Ju Fan; Chang Ye; Mingke Chai (World Wide Web, 2021)

Learning to Identify Sources of Network Diffusion. - Chang Ye; Gonzalo Mateos (EUSIPCO, 2022)

Small-Signal Modeling and Interaction Analysis of LCC-HVDC Systems Based on Harmonic State Space Theory. - Kezheng Jiang; Pan Hu; Kan Cao; Dan Liu; Chang Ye (IEEE Access, 2022)

CleanRL: High-quality Single-file Implementations of Deep Reinforcement Learning Algorithms. - Shengyi Huang; Rousslan Fernand Julien Dossa; Chang Ye; Jeff Braga; Dipam Chakraborty; Kinal Mehta; João G. M. Araújo (J. Mach. Learn. Res., 2022)

Teacher-generated spatial-attention labels boost robustness and accuracy of contrastive models. - Yushi Yao; Chang Ye; Junfeng He; Gamaleldin F. Elsayed (CVPR, 2023)

Emergency Control Strategy for High Proportion Renewable Power System Considering the Frequency Aggregation Response of Multi-Type Power Generations. - Chang Ye; Kezheng Jiang; Dan Liu; Chunyu Zhang; Di Zhang; Ziwen Liu (IEEE Access, 2024)

Open RL Benchmark: Comprehensive Tracked Experiments for Reinforcement Learning. - Shengyi Huang; Quentin Gallouédec; Florian Felten; Antonin Raffin; Rousslan Fernand Julien Dossa; Yanxiao Zhao; Ryan Sullivan; Viktor Makoviychuk; Denys Makoviichuk; Mohamad H. Danesh; Cyril Roumégous; Jiayi Weng; et al. (CoRR, 2024)

COCCON Measurements of XCO2, XCH4 and XCO over Coal Mine Aggregation Areas in Shanxi, China, and Comparison to TROPOMI and CAMS Datasets. - Qiansi Tu; Frank Hase; Kai Qin; Carlos Alberti; Fan Lu; Ze Bian; Lixue Cao; Jiaxin Fang; Jiacheng Gu; Luoyao Guan; Yanwu Jiang; Hanshu Kang; et al. (Remote. Sens., 2024)

gSWORD: GPU-accelerated Sampling for Subgraph Counting. - Chang Ye; Yuchen Li 001; Shixuan Sun; Wentian Guo (Proc. ACM Manag. Data, 2024)

Large-Scale Graph Label Propagation on GPUs. - Chang Ye; Yuchen Li 001; Bingsheng He; Zhao Li 007; Jianling Sun (IEEE Trans. Knowl. Data Eng., 2024)

A Survey on Concurrent Processing of Graph Analytical Queries: Systems and Algorithms. - Yuchen Li 001; Shixuan Sun; Hanhua Xiao; Chang Ye; Shengliang Lu; Bingsheng He (IEEE Trans. Knowl. Data Eng., 2024)

Blind deconvolution on graphs: Exact and stable recovery. - Chang Ye; Gonzalo Mateos (Signal Process., 2025)

Blind Deconvolution of Graph Signals: Robustness to Graph Perturbations. - Chang Ye; Gonzalo Mateos (IEEE Signal Process. Lett., 2025)

Factored Agents: Decoupling In-Context Learning and Memorization for Robust Tool Use. - Nicholas Roth; Christopher Hidey; Lucas Spangher; William F. Arnold; Chang Ye; Nick Masiewicki; Jinoo Baek; Peter Grabowski; Eugene Ie (CoRR, 2025)