CoTuner: A Hierarchical Learning Framework for Coordinately Optimizing Resource Partitioning and Parameter Tuning. - Tiannuo Yang; Ruobing Chen 002; Yusen Li; Xiaoguang Liu 001; Gang Wang 001 (ICPP, 2023)

On the Opportunities of Green Computing: A Survey. - You Zhou; Xiujing Lin; Xiang Zhang 001; Maolin Wang 001; Gangwei Jiang; Huakang Lu; Yupeng Wu; Kai Zhang 038; Zhe Yang; Kehang Wang; Yongduo Sui; Fengwei Jia; et al. (CoRR, 2023)

VDTuner: Automated Performance Tuning for Vector Data Management Systems. - Tiannuo Yang; Wen Hu 003; Wangqi Peng; Yusen Li; Jianguo Li; Gang Wang 001; Xiaoguang Liu 001 (ICDE, 2024)

A process knowledge-based hybrid method for univariate time series prediction with uncertain inputs in process industry. - Linjin Sun; Yangjian Ji; Qixuan Li; Tiannuo Yang (Adv. Eng. Informatics, 2024)

Towards SLO-Optimized LLM Serving via Automatic Inference Engine Tuning. - Ke Cheng; Zhi Wang 010; Wen Hu 003; Tiannuo Yang; Jianguo Li; Sheng Zhang 001 (CoRR, 2024)

SCOOT: SLO-Oriented Performance Tuning for LLM Inference Engines. - Ke Cheng; Zhi Wang 010; Wen Hu 003; Tiannuo Yang; Jianguo Li; Sheng Zhang 001 (WWW, 2025)

Demystifying and Enhancing the Efficiency of Large Language Model Based Search Agents. - Tiannuo Yang; Zebin Yao; Bowen Jin; Lixiao Cui; Yusen Li; Gang Wang 001; Xiaoguang Liu 001 (CoRR, 2025)