Automating Deep Neural Network Model Selection for Edge Inference. - Bingqian Lu; Jianyi Yang 001; Lydia Y. Chen; Shaolei Ren (CogMI, 2019)

Poster: Scaling Up Deep Neural Network optimization for Edge Inference†. - Bingqian Lu; Jianyi Yang 001; Shaolei Ren (SEC, 2020)

Increasing the Trustworthiness of Deep Neural Networks via Accuracy Monitoring. - Zhihui Shao; Jianyi Yang 001; Shaolei Ren (AISafety@IJCAI, 2020)

Multi-Feedback Bandit Learning with Probabilistic Contexts. - Luting Yang; Jianyi Yang 001; Shaolei Ren (IJCAI, 2020)

Calibrating Deep Neural Network Classifiers on Out-of-Distribution Datasets. - Zhihui Shao; Jianyi Yang 001; Shaolei Ren (CoRR, 2020)

Scaling Up Deep Neural Network Optimization for Edge Inference. - Bingqian Lu; Jianyi Yang 001; Shaolei Ren (CoRR, 2020)

A Quantitative Perspective on Values of Domain Knowledge for Machine Learning. - Jianyi Yang 001; Shaolei Ren (CoRR, 2020)

Robust Bandit Learning with Imperfect Context. - Jianyi Yang 001; Shaolei Ren (AAAI, 2021)

Contextual Bandits with Delayed Feedback and Semi-supervised Learning (Student Abstract). - Luting Yang; Jianyi Yang 001; Shaolei Ren (AAAI, 2021)

Bandit Learning with Predicted Context: Regret Analysis and Selective Context Query. - Jianyi Yang 001; Shaolei Ren (INFOCOM, 2021)

One Proxy Device Is Enough for Hardware-Aware Neural Architecture Search. - Bingqian Lu; Jianyi Yang 001; Weiwen Jiang; Yiyu Shi 001; Shaolei Ren (Proc. ACM Meas. Anal. Comput. Syst., 2021)

Informed Learning by Wide Neural Networks: Convergence, Generalization and Sampling Complexity. - Jianyi Yang 001; Shaolei Ren (ICML, 2022)

Learning for Robust Combinatorial Optimization: Algorithm and Application. - Zhihui Shao; Jianyi Yang 001; Cong Shen 001; Shaolei Ren (INFOCOM, 2022)

Improving QoE of Deep Neural Network Inference on Edge Devices: A Bandit Approach. - Bingqian Lu; Jianyi Yang 001; Jie Xu 001; Shaolei Ren (IEEE Internet Things J., 2022)

Expert-Calibrated Learning for Online Optimization with Switching Costs. - Pengfei Li 008; Jianyi Yang 001; Shaolei Ren (Proc. ACM Meas. Anal. Comput. Syst., 2022)

Learning-Assisted Algorithm Unrolling for Online Optimization with Budget Constraints. - Jianyi Yang 001; Shaolei Ren (AAAI, 2023)

Learning for Edge-Weighted Online Bipartite Matching with Robustness Guarantees. - Pengfei Li 008; Jianyi Yang 001; Shaolei Ren (ICML, 2023)

Robustified Learning for Online Optimization with Memory Costs. - Pengfei Li 008; Jianyi Yang 001; Shaolei Ren (INFOCOM, 2023)

Robust Learning for Smoothed Online Convex Optimization with Feedback Delay. - Pengfei Li 008; Jianyi Yang 001; Adam Wierman; Shaolei Ren (NeurIPS, 2023)

Anytime-Competitive Reinforcement Learning with Policy Prior. - Jianyi Yang 001; Pengfei Li 008; Tongxin Li; Adam Wierman; Shaolei Ren (NeurIPS, 2023)

Making AI Less "Thirsty": Uncovering and Addressing the Secret Water Footprint of AI Models. - Pengfei Li 008; Jianyi Yang 001; Mohammad A. Islam 001; Shaolei Ren (CoRR, 2023)

Towards Environmentally Equitable AI via Geographical Load Balancing. - Pengfei Li 008; Jianyi Yang 001; Adam Wierman; Shaolei Ren (e-Energy, 2024)

Building Socially-Equitable Public Models. - Yejia Liu; Jianyi Yang 001; Pengfei Li 008; Tongxin Li; Shaolei Ren (ICML, 2024)

Online Budgeted Matching with General Bids. - Jianyi Yang 001; Pengfei Li 008; Adam Wierman; Shaolei Ren (NeurIPS, 2024)

Towards Socially and Environmentally Responsible AI. - Pengfei Li 008; Yejia Liu; Jianyi Yang 001; Shaolei Ren (CoRR, 2024)

Online Allocation with Replenishable Budgets: Worst Case and Beyond. - Jianyi Yang 001; Pengfei Li 008; Mohammad Jaminur Islam; Shaolei Ren (Proc. ACM Meas. Anal. Comput. Syst., 2024)

Learning-Augmented Decentralized Online Convex Optimization in Networks. - Pengfei Li 008; Jianyi Yang 001; Adam Wierman; Shaolei Ren (Proc. ACM Meas. Anal. Comput. Syst., 2024)

Learning-Augmented Online Control for Decarbonizing Water Infrastructures. - Jianyi Yang 001; Pengfei Li 008; Tongxin Li; Adam Wierman; Shaolei Ren (e-Energy, 2025)

Learning for Sustainable Online Scheduling with Competitive Fairness Guarantees. - Pengfei Li 008; Nicolas Christianson; Jianyi Yang 001; Adam Wierman; Shaolei Ren (e-Energy, 2025)

Making AI Less 'Thirsty'. - Pengfei Li 008; Jianyi Yang 001; Mohammad A. Islam 001; Shaolei Ren (Commun. ACM, 2025)