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Peiqi Yin
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2020 – today
- 2026
[j5]Qihui Zhou
, Peiqi Yin
, Xiao Yan, Changji Li
, James Cheng:
SG-Serve: Efficient Model Serving for Subgraph-based Graph Representation Learning. Proc. ACM Manag. Data 4(1): 83:1-83:29 (2026)
[j4]Peiqi Yin
, Xiao Yan, Qihui Zhou
, Hui Li
, Xiaolu Li
, Meiling Wang, Lin Zhang
, Xin Yao
, James Cheng:
GPS: Revisiting the Data Layout for Disk-based High-Dimensional Vector Search. Proc. ACM Manag. Data 4(3): 192:1-192:29 (2026)
[c5]Qihui Zhou
, Peiqi Yin
, Pengfei Zuo
, Chao Wang
, James Cheng
:
SparseServe: Unlocking Parallelism for Dynamic Sparse Attention in Long-Context LLM Serving. ICS 2026: 488-501
[c4]Yuntao Gui
, Peiqi Yin
, Xiao Yan
, Chaorui Zhang
, Weixi Zhang
, James Cheng
:
PilotANN: Memory-Bounded GPU Acceleration for Vector Search. KDD (1) 2026: 348-358
[c3]Peiqi Yin, Xiao Yan, Shiyuan Deng, Hui Li, Yifan Zhu, Xiangyu Zhi, Jingqi Mao, Ran Xu, Wenliang Zhang, James Cheng:
DistVS: Large-scale Vector Search with Compute-Memory Disaggregation. NSDI 2026: 449-467
[i10]Peiqi Yin, Jiangyun Zhu, Han Gao, Chenguang Zheng, Yongxiang Huang, Taichang Zhou, Ruirui Yang, Weizhi Liu, Weiqing Chen, Canlin Guo, Didan Deng, Zifeng Mo
, Cong Wang, James Cheng, Roger Wang, Hongsheng Liu:
vLLM-Omni: Fully Disaggregated Serving for Any-to-Any Multimodal Models. CoRR abs/2602.02204 (2026)
[i9]Lan Lu, Peiqi Yin, Isaac Yang, Tao Luo, Hua Fan, Wenchao Zhou, Feifei Li, Boon Thau Loo:
ScaleGANN: Accelerate Large-Scale ANN Indexing by Cost-effective Cloud GPUs. CoRR abs/2605.10135 (2026)
[i8]Xiangyu Zhi, Peiqi Yin, Sheng Guan, Chenguang Zheng, James Cheng, Xiao Yan:
LiveServe: Interaction-Aware Serving for Real-Time Omni-Modal LLMs. CoRR abs/2606.22983 (2026)
[i7]Ziqi Yin, Jianyang Gao, Peiqi Yin, Jiangneng Li, Gao Cong:
LiteTopK: Exploiting the Curse of Dimensionality for a Fused Indexer-TopK Kernel in Long-Context Sparse Attention. CoRR abs/2607.11976 (2026)- 2025
[j3]Peiqi Yin
, Qihui Zhou
, Xiao Yan
, Chao Wang
, Eric Lo
, Changji Li
, Lan Lu
, Hua Fan
, Wenchao Zhou
, Ming-Chang Yang
, James Cheng
:
CARINA: An Efficient CXL-Oriented Embedding Serving System for Recommendation Models. Proc. ACM Manag. Data 3(3): 137:1-137:29 (2025)
[i6]Qihui Zhou, Peiqi Yin, Pengfei Zuo
, James Cheng:
Progressive Sparse Attention: Algorithm and System Co-design for Efficient Attention in LLM Serving. CoRR abs/2503.00392 (2025)
[i5]Yuntao Gui
, Peiqi Yin, Xiao Yan, Chaorui Zhang, Weixi Zhang, James Cheng:
PilotANN: Memory-Bounded GPU Acceleration for Vector Search. CoRR abs/2503.21206 (2025)
[i4]Peiqi Yin, Xiao Yan, Qihui Zhou, Hui Li, Xiaolu Li, Lin Zhang, Meiling Wang, Xin Yao, James Cheng:
Gorgeous: Revisiting the Data Layout for Disk-Resident High-Dimensional Vector Search. CoRR abs/2508.15290 (2025)
[i3]Qihui Zhou, Peiqi Yin, Pengfei Zuo, James Cheng:
SparseServe: Unlocking Parallelism for Dynamic Sparse Attention in Long-Context LLM Serving. CoRR abs/2509.24626 (2025)- 2024
[j2]Chenguang Zheng
, Guanxian Jiang
, Xiao Yan
, Peiqi Yin
, Qihui Zhou
, James Cheng
:
GE2: A General and Efficient Knowledge Graph Embedding Learning System. Proc. ACM Manag. Data 2(3): 183 (2024)
[j1]Qihui Zhou
, Peiqi Yin
, Xiao Yan
, Changji Li
, Guanxian Jiang
, James Cheng
:
Atom: An Efficient Query Serving System for Embedding-based Knowledge Graph Reasoning with Operator-level Batching. Proc. ACM Manag. Data 2(4): 193:1-193:29 (2024)- 2023
[c2]Peiqi Yin
, Xiao Yan
, Jinjing Zhou
, Qiang Fu
, Zhenkun Cai
, James Cheng
, Bo Tang
, Minjie Wang
:
DGI: An Easy and Efficient Framework for GNN Model Evaluation. KDD 2023: 5439-5450
[i2]Yuntao Gui, Xiao Yan, Peiqi Yin, Han Yang, James Cheng:
SPT: Fine-Tuning Transformer-based Language Models Efficiently with Sparsification. CoRR abs/2312.10365 (2023)- 2022
[i1]Peiqi Yin, Xiao Yan, Jinjing Zhou, Qiang Fu, Zhenkun Cai, James Cheng, Bo Tang, Minjie Wang:
DGI: Easy and Efficient Inference for GNNs. CoRR abs/2211.15082 (2022)- 2021
[c1]Yidi Wu, Yuntao Gui
, Tatiana Jin, James Cheng, Xiao Yan, Peiqi Yin, Yufei Cai
, Bo Tang, Fan Yu:
Vertex-Centric Visual Programming for Graph Neural Networks. SIGMOD Conference 2021: 2803-2807
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last updated on 2026-08-24 23:53 CEST by the dblp team
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