An Efficient Deep Learning-Based High-Definition Image Compressed Sensing Framework for Large-Scene Construction Site Monitoring. - Tuocheng Zeng; Jiajun Wang; Xiaoling Wang; Yunuo Zhang; Bingyu Ren (Sensors, 2023)

Multistep prediction for earthworks unloading duration: a fuzzy Att-Seq2Seq network with optimal partitioning and multi-time granularity modeling. - Yunuo Zhang; Xiaoling Wang; Jia Yu; Tuocheng Zeng; Jiajun Wang (Neural Comput. Appl., 2023)

Act as You Learn: Adaptive Decision-Making in Non-Stationary Markov Decision Processes. - Baiting Luo; Yunuo Zhang; Abhishek Dubey; Ayan Mukhopadhyay (AAMAS, 2024)

Decision Making in Non-Stationary Environments with Policy-Augmented Search. - Ava Pettet; Yunuo Zhang; Baiting Luo; Kyle Hollins Wray; Hendrik Baier; Aron Laszka; Abhishek Dubey; Ayan Mukhopadhyay (AAMAS, 2024)

Shrinking POMCP: A Framework for Real-Time UAV Search and Rescue. - Yunuo Zhang; Baiting Luo; Ayan Mukhopadhyay; Dániel Stojcsics; Daniel Elenius; Anirban Roy; Susmit Jha; Miklos Maroti; Xenofon D. Koutsoukos; Gabor Karsai; Abhishek Dubey (ICAA, 2024)

Adaboosting graph attention recurrent network: A deep learning framework for traffic speed forecasting in dynamic transportation networks with spatial-temporal dependencies. - Yunuo Zhang; Xiaoling Wang; Jia Yu; Tuocheng Zeng; Jiajun Wang (Eng. Appl. Artif. Intell., 2024)

Online Decision-Making Under Uncertainty for Vehicle-to-Building Systems. - Rishav Sen; Yunuo Zhang; Fangqi Liu 001; Jose Paolo Talusan; Ava Pettet; Yoshinori Suzue; Ayan Mukhopadhyay; Abhishek Dubey (ICCPS, 2025)

NS-Gym: Open-Source Simulation Environments and Benchmarks for Non-Stationary Markov Decision Processes. - Nathaniel S. Keplinger; Baiting Luo; Iliyas Bektas; Yunuo Zhang; Kyle Hollins Wray; Aron Laszka; Abhishek Dubey; Ayan Mukhopadhyay (CoRR, 2025)

Observation Adaptation via Annealed Importance Resampling for Partially Observable Markov Decision Processes. - Yunuo Zhang; Baiting Luo; Ayan Mukhopadhyay; Abhishek Dubey (CoRR, 2025)