Baotong Lu

According to our database, Baotong Lu authored at least 20 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

DualSpec: Accelerating Deep Research Agents via Dual-Process Action Speculation.

Shuzhang Zhong, Baotong Lu, Qi Chen, Chuanjie Liu, Fan Yang, Meng Li

CoRR, March, 2026

KEEP: A KV-Cache-Centric Memory Management System for Efficient Embodied Planning.

Zebin Yang, Tong Xie, Baotong Lu, Shaoshan Liu, Bo Yu, Meng Li

CoRR, February, 2026

RetroInfer: A Vector Storage Engine for Scalable Long-Context LLM Inference.

Yaoqi Chen, Jinkai Zhang, Baotong Lu, Qianxi Zhang, Chengruidong Zhang, Jing Liu, Jingjia Luo, Di Liu, Huiqiang Jiang, Qi Chen, Bailu Ding, Xiao Yan, Jiawei Jiang, Chen Chen, Mingxing Zhang, Cheng Li, Yuqing Yang, Fan Yang, Mao Yang

Proc. VLDB Endow., January, 2026

2025

Shard: A Scalable and Resize-optimized Hash Index on Disaggregated Memory.

Hantian Zha, Teng Ma, Baotong Lu, Yuansen Wang, Dongbiao He, Yuanhui Luo, Dafang Zhang, Yunpeng Chai, Yuxing Chen, Anqun Pan

Proc. VLDB Endow., December, 2025

Scalable Distributed Vector Search via Accuracy Preserving Index Construction.

Yuming Xu, Qianxi Zhang, Qi Chen, Baotong Lu, Menghao Li, Philip Adams, Mingqin Li, Zengzhong Li, Jing Liu, Cheng Li, Fan Yang

CoRR, December, 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, July, 2025

Towards Robustness: A Critique of Current Vector Database Assessments.

Zikai Wang, Qianxi Zhang, Baotong Lu, Qi Chen, Cheng Tan

CoRR, July, 2025

AnTKV: Anchor Token-Aware Sub-Bit Vector Quantization for KV Cache in Large Language Models.

Zeyu Li, Chuanfu Xiao, Yang Wang, Xiang Liu, Zhenheng Tang, Baotong Lu, Mao Yang, Xinyu Chen, Xiaowen Chu

CoRR, June, 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, Jiawei Jiang, Chen Chen, Mingxing Zhang, Yuqing Yang, Fan Yang, Mao Yang

CoRR, May, 2025

Attribute Filtering in Approximate Nearest Neighbor Search: An In-depth Experimental Study.

Mocheng Li, Xiao Yan, Baotong Lu, Yue Zhang, James Cheng, Chenhao Ma

Proc. ACM Manag. Data, 2025

SGDRC: Software-Defined Dynamic Resource Control for Concurrent DNN Inference on NVIDIA GPUs.

Yongkang Zhang, Haoxuan Yu, Chenxia Han, Cheng Wang, Baotong Lu, Yunzhe Li, Zhifeng Jiang, Yang Li, Xiaowen Chu, Huaicheng Li

Proceedings of the 30th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming, 2025

2024

DEX: Scalable Range Indexing on Disaggregated Memory.

Baotong Lu, Kaisong Huang, Chieh-Jan Mike Liang, Tianzheng Wang, Eric Lo

Proc. VLDB Endow., June, 2024

RetrievalAttention: Accelerating Long-Context LLM Inference via Vector Retrieval.

Di Liu, Meng Chen, Baotong Lu, Huiqiang Jiang, Zhenhua Han, Qianxi Zhang, Qi Chen, Chengruidong Zhang, Bailu Ding, Kai Zhang, Chen Chen, Fan Yang, Yuqing Yang, Lili Qiu

CoRR, 2024

Missile: Fine-Grained, Hardware-Level GPU Resource Isolation for Multi-Tenant DNN Inference.

Yongkang Zhang, Haoxuan Yu, Chenxia Han, Cheng Wang, Baotong Lu, Yang Li, Xiaowen Chu, Huaicheng Li

CoRR, 2024

DEX: Scalable Range Indexing on Disaggregated Memory [Extended Version].

Baotong Lu, Kaisong Huang, Chieh-Jan Mike Liang, Tianzheng Wang, Eric Lo

CoRR, 2024

2022

Are Updatable Learned Indexes Ready?

Chaichon Wongkham, Baotong Lu, Chris Liu, Zhicong Zhong, Eric Lo, Tianzheng Wang

Proc. VLDB Endow., 2022

2021

Scaling Dynamic Hash Tables on Real Persistent Memory.

Baotong Lu, Xiangpeng Hao, Tianzheng Wang, Eric Lo

SIGMOD Rec., 2021

APEX: A High-Performance Learned Index on Persistent Memory.

Baotong Lu, Jialin Ding, Eric Lo, Umar Farooq Minhas, Tianzheng Wang

Proc. VLDB Endow., 2021

2020

Dash: Scalable Hashing on Persistent Memory.

Baotong Lu, Xiangpeng Hao, Tianzheng Wang, Eric Lo

Proc. VLDB Endow., 2020

High Performance Depthwise and Pointwise Convolutions on Mobile Devices.

Pengfei Zhang, Eric Lo, Baotong Lu

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020