Practical multispectral lighting reproduction. - Chloe LeGendre; Xueming Yu; Dai Liu; Jay Busch; Andrew Jones 001; Sumanta N. Pattanaik; Paul E. Debevec (ACM Trans. Graph., 2016)

Green Supplier Selection for Process Industries Using Weighted Grey Incidence Decision Model. - Jing Quan 002; Bo Zeng 002; Dai Liu (Complex., 2018)

Tracking Algorithms Aided by the Pose of Target. - Dai Liu; Yongbo Zhao 001; Baoqing Xu (IEEE Access, 2019)

Target tracking methods based on a signal-to-noise ratio model. - Dai Liu; Yong-Bo Zhao 001; Ziqian Yuan; Jie-tao Li; Guo-ji Chen (Frontiers Inf. Technol. Electron. Eng., 2020)

Orchestrated Co-scheduling, Resource Partitioning, and Power Capping on CPU-GPU Heterogeneous Systems via Machine Learning. - Issa Saba; Eishi Arima; Dai Liu; Martin Schulz 001 (ARCS, 2022)

Hierarchical Resource Partitioning on Modern GPUs: A Reinforcement Learning Approach. - Urvij Saroliya; Eishi Arima; Dai Liu; Martin Schulz 001 (CLUSTER, 2023)

Federated Learning via Decentralized Dataset Distillation in Resource-Constrained Edge Environments. - Rui Song 007; Dai Liu; Dave Zhenyu Chen; Andreas Festag; Carsten Trinitis; Martin Schulz 001; Alois Knoll (IJCNN, 2023)

The impact of digital supply chain capabilities on enterprise sustainable competitive performance: an ambidextrous view. - Ning Li; Dai Liu; Francis Boadu (Ind. Manag. Data Syst., 2023)

Dataset Distillation by Automatic Training Trajectories. - Dai Liu; Jindong Gu; Hu Cao; Carsten Trinitis; Martin Schulz 001 (ECCV (87), 2024)

Reinforcement Learning-Driven Co-Scheduling and Diverse Resource Assignments on NUMA Systems. - Urvij Saroliya; Eishi Arima; Dai Liu; Martin Schulz 001 (ICCD, 2024)

KLiNQ: Knowledge Distillation-Assisted Lightweight Neural Network for Qubit Readout on FPGA. - Xiaorang Guo; Tigran Bunarjyan; Dai Liu; Benjamin Lienhard; Martin Schulz 001 (CoRR, 2025)

DD-Ranking: Rethinking the Evaluation of Dataset Distillation. - Zekai Li; Xinhao Zhong; Samir Khaki; Zhiyuan Liang; Yuhao Zhou; Mingjia Shi; Ziqiao Wang; Xuanlei Zhao; Wangbo Zhao; Ziheng Qin; Mengxuan Wu; Pengfei Zhou; et al. (CoRR, 2025)