High Performance Depthwise and Pointwise Convolutions on Mobile Devices. - Pengfei Zhang; Eric Lo 001; Baotong Lu (AAAI, 2020)

Dash: Scalable Hashing on Persistent Memory. - Baotong Lu; Xiangpeng Hao; Tianzheng Wang 001; Eric Lo 001 (Proc. VLDB Endow., 2020)

APEX: A High-Performance Learned Index on Persistent Memory. - Baotong Lu; Jialin Ding 001; Eric Lo 001; Umar Farooq Minhas; Tianzheng Wang 001 (Proc. VLDB Endow., 2021)

Scaling Dynamic Hash Tables on Real Persistent Memory. - Baotong Lu; Xiangpeng Hao; Tianzheng Wang 001; Eric Lo 001 (SIGMOD Rec., 2021)

Are Updatable Learned Indexes Ready? - Chaichon Wongkham; Baotong Lu; Chris Liu; Zhicong Zhong; Eric Lo 001; Tianzheng Wang 001 (Proc. VLDB Endow., 2022)

DEX: Scalable Range Indexing on Disaggregated Memory [Extended Version]. - Baotong Lu; Kaisong Huang; Chieh-Jan Mike Liang; Tianzheng Wang 001; Eric Lo 001 (CoRR, 2024)

Missile: Fine-Grained, Hardware-Level GPU Resource Isolation for Multi-Tenant DNN Inference. - Yongkang Zhang 003; Haoxuan Yu; Chenxia Han; Cheng Wang; Baotong Lu; Yang Li 090; Xiaowen Chu 001; Huaicheng Li (CoRR, 2024)

RetrievalAttention: Accelerating Long-Context LLM Inference via Vector Retrieval. - Di Liu; Meng Chen; Baotong Lu; Huiqiang Jiang; Zhenhua Han; Qianxi Zhang; Qi Chen 009; Chengruidong Zhang; Bailu Ding; Kai Zhang; Chen Chen 067; Fan Yang 024; et al. (CoRR, 2024)

DEX: Scalable Range Indexing on Disaggregated Memory. - Baotong Lu; Kaisong Huang; Chieh-Jan Mike Liang; Tianzheng Wang 001; Eric Lo 001 (Proc. VLDB Endow., 2024)

SGDRC: Software-Defined Dynamic Resource Control for Concurrent DNN Inference on NVIDIA GPUs. - Yongkang Zhang 003; Haoxuan Yu; Chenxia Han; Cheng Wang; Baotong Lu; Yunzhe Li; Zhifeng Jiang 001; Yang Li 090; Xiaowen Chu 001; Huaicheng Li (PPoPP, 2025)

RetroInfer: A Vector-Storage Approach for Scalable Long-Context LLM Inference. - Yaoqi Chen; Jinkai Zhang; Baotong Lu; Qianxi Zhang; Chengruidong Zhang; Jingjia Luo; Di Liu; Huiqiang Jiang; Qi Chen; Jing Liu; Bailu Ding; Xiao Yan; et al. (CoRR, 2025)

AnTKV: Anchor Token-Aware Sub-Bit Vector Quantization for KV Cache in Large Language Models. - Zeyu Li; Chuanfu Xiao; Yang Wang; Xiang Liu 001; Zhenheng Tang; Baotong Lu; Mao Yang; Xinyu Chen; Xiaowen Chu 001 (CoRR, 2025)

Towards Robustness: A Critique of Current Vector Database Assessments. - Zikai Wang; Qianxi Zhang; Baotong Lu; Qi Chen; Cheng Tan (CoRR, 2025)

Towards Efficient and Scalable Distributed Vector Search with RDMA. - Xiangyu Zhi; Meng Chen; Xiao Yan; Baotong Lu; Hui Li; Qianxi Zhang; Qi Chen; James Cheng (CoRR, 2025)