TREC: Transient Redundancy Elimination-based Convolution. - Jiawei Guan; Feng Zhang 007; Jiesong Liu; Hsin-Hsuan Sung; Ruofan Wu; Xiaoyong Du 001; Xipeng Shen (NeurIPS, 2022)

Approximating Probabilistic Group Steiner Trees in Graphs. - Shuang Yang; Yahui Sun 001; Jiesong Liu; Xiaokui Xiao; Rong-Hua Li; Zhewei Wei (Proc. VLDB Endow., 2022)

Exploring Query Processing on CPU-GPU Integrated Edge Device. - Jiesong Liu; Feng Zhang 007; Hourun Li; Dalin Wang; Weitao Wan; Xiaokun Fang; Jidong Zhai; Xiaoyong Du 001 (IEEE Trans. Parallel Distributed Syst., 2022)

Space-Efficient TREC for Enabling Deep Learning on Microcontrollers. - Jiesong Liu; Feng Zhang 007; Jiawei Guan; Hsin-Hsuan Sung; Xiaoguang Guo; Xiaoyong Du 001; Xipeng Shen (ASPLOS (3), 2023)

UQ-Guided Hyperparameter Optimization for Iterative Learners. - Jiesong Liu; Feng Zhang 007; Jiawei Guan; Xipeng Shen (NeurIPS, 2024)

G-Learned Index: Enabling Efficient Learned Index on GPU. - Jiesong Liu; Feng Zhang 007; Lv Lu; Chang Qi; Xiaoguang Guo; Dong Deng 001; Guoliang Li 001; Huanchen Zhang; Jidong Zhai; Hechen Zhang; Yuxing Chen; Anqun Pan; et al. (IEEE Trans. Parallel Distributed Syst., 2024)

Enabling Efficient Deep Learning on MCU With Transient Redundancy Elimination. - Jiesong Liu; Feng Zhang 007; Jiawei Guan; Hsin-Hsuan Sung; Xiaoguang Guo; Saiqin Long; Xiaoyong Du 001; Xipeng Shen (IEEE Trans. Computers, 2024)

A Drop-In Solution for On-the-Fly Adaptation of Speculative Decoding in Large Language Models. - Jiesong Liu; Brian Park; Xipeng Shen (ACL (1), 2025)

Generalizing Reuse Patterns for Efficient DNN on Microcontrollers. - Jiesong Liu; Bin Ren; Xipeng Shen (ASPLOS (2), 2025)

A Systematic Study on Early Stopping Metrics in HPO and the Implications of Uncertainty. - Jiawei Guan; Feng Zhang 007; Jiesong Liu; Xiaoyong Du 001; Xipeng Shen (Proc. VLDB Endow., 2025)