| 2026 | ICDCS | GALUPA: Gossiping Aggregated Locking and Output Proofs for Accountability in BFT. | Baolin Li, Huiping Sun, Zhong Chen |
| 2026 | KSEM | Minimal-Overhead Backdoor Detection via Entropy-Guided Activation Substitution. | Baolin Li, Tao Hu, Xinlei Liu, Beilei Zhang, Qi Ouyang, Peng Yi, Shuai Zhang, Hailong Ma |
| 2026 | KSEM | FI-HGT: High-Order Feature Interactions via Heterogeneous Graph Transformer for Deep Social Bot Detection. | Qi Ouyang, Beilei Zhang, Ran Li, Junjie Zhang, Shuxin Liu, Baolin Li |
| 2025 | CIKM | Sequential Difference Maximization: Generating Adversarial Examples via Multi-Stage Optimization. | Xinlei Liu, Tao Hu, Peng Yi, Weitao Han, Jichao Xie, Baolin Li |
| 2025 | CVPR | Defending Against Transfer-Based Adversarial Attacks Using SVD-Driven Feature Evolution. | Xinlei Liu, Tao Hu, Peng Yi, Qingtao Pan, Hailong Ma, Yiming Jiang, Baolin Li |
| 2025 | SC | GreenMix: Energy-Efficient Serverless Computing via Randomized Sketching on Asymmetric Multi-Cores. | Rohan Basu Roy, Tirthak Patel, Baolin Li, Siddharth Samsi, Vijay Gadepally, Devesh Tiwari |
| 2024 | EMNLP | Sprout: Green Generative AI with Carbon-Efficient LLM Inference. | Baolin Li, Yankai Jiang, Vijay Gadepally, Devesh Tiwari |
| 2024 | SC | EcoLife: Carbon-Aware Serverless Function Scheduling for Sustainable Computing. | Yankai Jiang, Rohan Basu Roy, Baolin Li, Devesh Tiwari |
| 2024 | TrustCom | Robust purification defense for transfer attacks based on probabilistic scheduling algorithm of pre-trained models: A model difference perspective. | Xinlei Liu, Jichao Xie, Tao Hu, Hailong Ma, Baolin Li, Peng Yi, Zhen Zhang |
| 2023 | CLOUD | Sustainable Supercomputing for AI: GPU Power Capping at HPC Scale. | Dan Zhao, Siddharth Samsi, Joseph McDonald, Baolin Li, David Bestor, Michael Jones, Devesh Tiwari, Vijay Gadepally |
| 2023 | HPDC | Kairos: Building Cost-Efficient Machine Learning Inference Systems with Heterogeneous Cloud Resources. | Baolin Li, Siddharth Samsi, Vijay Gadepally, Devesh Tiwari |
| 2023 | SC | Toward Sustainable HPC: Carbon Footprint Estimation and Environmental Implications of HPC Systems. | Baolin Li, Rohan Basu Roy, Daniel Wang, Siddharth Samsi, Vijay Gadepally, Devesh Tiwari |
| 2023 | SC | Clover: Toward Sustainable AI with Carbon-Aware Machine Learning Inference Service. | Baolin Li, Siddharth Samsi, Vijay Gadepally, Devesh Tiwari |
| 2022 | CLOUD | MISO: exploiting multi-instance GPU capability on multi-tenant GPU clusters. | Baolin Li, Tirthak Patel, Siddharth Samsi, Vijay Gadepally, Devesh Tiwari |
| 2022 | DATE | Do Temperature and Humidity Exposures Hurt or Benefit Your SSDs? | Adnan Maruf, Sashri Brahmakshatriya, Baolin Li, Devesh Tiwari, Gang Quan, Janki Bhimani |
| 2022 | HPCA | AI-Enabling Workloads on Large-Scale GPU-Accelerated System: Characterization, Opportunities, and Implications. | Baolin Li, Rohin Arora, Siddharth Samsi, Tirthak Patel, William Arcand, David Bestor, Chansup Byun, Rohan Basu Roy, Bill Bergeron, John T. Holodnak, Michael Houle, Matthew Hubbell, Michael Jones, Jeremy Kepner, Anna Klein, Peter Michaleas, Joseph McDonald, Lauren Milechin, Julie Mullen, Andrew Prout, Benjamin Price, Albert Reuther, Antonio Rosa, Matthew L. Weiss, Charles Yee, Daniel Edelman, Allan Vanterpool, Anson Cheng, Vijay Gadepally, Devesh Tiwari |
| 2022 | NAACL | Great Power, Great Responsibility: Recommendations for Reducing Energy for Training Language Models. | Joseph McDonald, Baolin Li, Nathan C. Frey, Devesh Tiwari, Vijay Gadepally, Siddharth Samsi |
| 2021 | SC | RIBBON: cost-effective and qos-aware deep learning model inference using a diverse pool of cloud computing instances. | Baolin Li, Rohan Basu Roy, Tirthak Patel, Vijay Gadepally, Karen Gettings, Devesh Tiwari |
| 2020 | SC | Experimental evaluation of NISQ quantum computers: error measurement, characterization, and implications. | Tirthak Patel, Abhay Potharaju, Baolin Li, Rohan Basu Roy, Devesh Tiwari |
| 2020 | USENIX | UREQA: Leveraging Operation-Aware Error Rates for Effective Quantum Circuit Mapping on NISQ-Era Quantum Computers. | Tirthak Patel, Baolin Li, Rohan Basu Roy, Devesh Tiwari |
| 2015 | IGARSS | A novel method to reconstruct normalized difference vegetation index time series based on temporal-spatial iteration estimation. | Lili Xu, Baolin Li, Yecheng Yuan, Tao Zhang |
| 2015 | IGARSS | Estimation of precipitation in remote areas using B-SHADE model. | Tao Zhang, Baolin Li, Jinfeng Wang, Mao-Gui Hu |