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ORCIDXiao Yan 0002
晏潇
Person information
- unicode name: 晏潇
- affiliation: Wuhan University, Institute for Math & AI, China
- affiliation (2020 -2023): Southern University of Science and Technology, Department of Computer Science and Engineering, China
- affiliation (PhD): Chinese University of Hong Kong, Department of Computer Science and Engineering, Hong Kong
- affiliation (2012 - 2015): Beijing University of Posts and Telecommunications, Key Laboratory of Universal Wireless Communications, Beijing, China
Other persons with the same name
- Xiao Yan — disambiguation page
- Xiao Yan 0001
![[0000-0003-4108-9665]](https://google.otrosproyectosundfe.com/https://dblp.org/img/orcid-mark.12x12.png "0000-0003-4108-9665")
— University of Electronic Science and Technology of China, School of Aeronautics and Astronautics, Chengdu - Xiao Yan 0003 — Nanyang Technological University, School of Electrical and Electronic Engineering, Singapore (and 1 more)
- Xiao Yan 0004 — Tsinghua University, Department of Computer Science and Technology, Beijing, China
- Xiao Yan 0005 — ZTE Corporation, Shenzhen, China (and 1 more)
- Xiao Yan 0006 — Fudan University, State Key Laboratory of ASIC and System, Shanghai, China (and 1 more)
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2020 – today
- 2026
[j28]Mocheng Li, Xiao Yan, Baotong Lu, Yue Zhang, James Cheng, Chenhao Ma:
Corrigendum: Attribute Filtering in Approximate Nearest Neighbor Search: An In-depth Experimental Study: [Experiments & Analysis]. Proc. ACM Manag. Data 4(1): C3:1 (2026)- [j27]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:
RetroInfer: A Vector Storage Engine for Scalable Long-Context LLM Inference. Proc. VLDB Endow. 19(5): 1016-1031 (2026) - [c72]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 - [c71]Qihui Zhou, Changji Li, Guanxian Jiang, Chenhao Ma, Xiao Yan, Yu Mao, Ming-Chang Yang, James Cheng:
Hitcher: Efficient GPU-based Vector Search via Cluster-Centric Kernel and Hitch-Ride Ordering. KDD (1) 2026: 2066-2075 - [c70]Xiaokai Zhou, Xiao Yan, Xinyan Li, Yuxiang Wang, Quanqing Xu, Chuang Hu, Tieyun Qian, Jiawei Jiang:
HAL: Accurate, Private, and Efficient Sample Alignment for Multimodal Federated Learning. KDD (1) 2026: 2076-2087 - [c69]Kaihao Ma, Meiling Wang, Oleg Senkevich, Zijian Li, Daihao Xue, Dmitriy Malyshev, Yangming Lv, Shihai Xiao, Xiao Yan, Alexander Radionov, Weidi Zeng, Yuanzhan Gao, Zhiyu Zou, Xin Yao, Lin Liu, Junhao Wu, Yiding Liu, Yaoyao Fu, Gongyi Wang, Gong Zhang, Fei Yi, Yingfan Liu:
KBest: Efficient Vector Search on Kunpeng CPU. KDD (1) 2026: 2347-2356 - [c68]Yuxiang Wang, Chi Ma, Xiao Yan, Mincong Huang, Xiaoguang Li, Ruidong Han, Bin Yin, Shangyu Chen, Xiang Li, Fei Jiang, Lei Yu, Chuan Liu, Wei Lin, Haowei Han, Xiaokai Zhou, Bo Du, Jiawei Jiang:
MTGenRec: An Efficient Distributed Training System for Generative Recommendation Models in Meituan. KDD (1) 2026: 2482-2493 - [c67]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 - [c66]Yuhao Lin, Zhipeng Tang, Jiayan Tong, Junqing Xiao, Bin Lu, Yuhang Li, Chao Li, Zhiguo Zhang, Junhua Wang, Hao Luo, James Cheng, Chuang Hu, Jiawei Jiang, Xiao Yan:
FuxiShuffle: An Adaptive and Resilient Shuffle Service for Distributed Data Processing on Alibaba Cloud. SIGMOD Companion 2026: 386-399 - [c65]Haowei Han, Yuxiang Wang, Guojia Wan, Hao Wang, Shanshan Feng, Hao Huang, Jiawei Jiang, Xiao Yan:
Text-attributed Graph Condensation via Text Selection and Attribute Matching. WWW 2026: 754-764 - [i44]Yuhao Lin, Zhipeng Tang, Jiayan Tong, Junqing Xiao, Bin Lu, Yuhang Li, Chao Li, Zhiguo Zhang, Junhua Wang, Hao Luo, James Cheng, Chuang Hu, Jiawei Jiang, Xiao Yan:
FuxiShuffle: An Adaptive and Resilient Shuffle Service for Distributed Data Processing on Alibaba Cloud. CoRR abs/2602.22580 (2026) - [i43]Haoyu Zheng, Yongqiang Zhang, Fangcheng Fu, Xiaokai Zhou, Hao Luo, Hongchao Zhu, Yuanyuan Zhu, Hao Wang, Xiao Yan, Jiawei Jiang:
Scheduling LLM Inference with Uncertainty-Aware Output Length Predictions. CoRR abs/2604.00499 (2026) - [i42]Xin Wang, Chi Ma, Shaobin Chen, Pu Wang, Menglei Zhou, Junyi Qiu, Qiaorui Chen, Jiayu Sun, Shijie Liu, Zehuan Wang, Lei Yu, Chuan Liu, Fei Jiang, Wei Lin, Hao Wang, Jiawei Jiang, Xiao Yan:
MTServe: Efficient Serving for Generative Recommendation Models with Hierarchical Caches. CoRR abs/2604.22881 (2026) - [i41]Haoyu Zheng, Fangcheng Fu, Jia Wu, Binhang Yuan, Yongqiang Zhang, Hao Wang, Yuanyuan Zhu, Xiao Yan, Jiawei Jiang:
Efficient Serving for Dynamic Agent Workflows with Prediction-based KV-Cache Management. CoRR abs/2605.06472 (2026) - [i40]Zijie Dai, Shiyuan Deng, Sheng Guan, Yizhou Tian, Xin Yao, Xiao Yan, James Cheng:
RecMem: Recurrence-based Memory Consolidation for Efficient and Effective Long-Running LLM Agents. CoRR abs/2605.16045 (2026) - 2025
- [j26]Ziyi Zhang, Hang Yin, Susie Xi Rao, Xiao Yan, Zhurong Wang, Weiming Liang, Yang Zhao, Yinan Shan, Ruixuan Zhang, Yuhao Lin, Jiawei Jiang:
Identifying E-Commerce Fraud Through User Behavior Data: Observations and Insights. Data Sci. Eng. 10(1): 24-39 (2025) - [j25]Renjie Liu, Yichuan Wang, Xiao Yan, Haitian Jiang, Zhenkun Cai, Minjie Wang, Bo Tang, Jinyang Li:
DiskGNN: Bridging I/O Efficiency and Model Accuracy for Out-of-Core GNN Training. Proc. ACM Manag. Data 3(1): 34:1-34:27 (2025) - [j24]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) - [j23]Yanqi Chen, Xiao Yan, Alexandra Meliou, Eric Lo:
DiskJoin: Large-scale Vector Similarity Join with SSD. Proc. ACM Manag. Data 3(6): 1-27 (2025) - [j22]Hui Li, Shiyuan Deng, Xiao Yan, Xiangyu Zhi, James Cheng:
SAQ: Pushing the Limits of Vector Quantization through Code Adjustment and Dimension Segmentation. Proc. ACM Manag. Data 3(6): 1-25 (2025) - [j21]Mocheng Li, Xiao Yan, Baotong Lu, Yue Zhang, James Cheng, Chenhao Ma:
Attribute Filtering in Approximate Nearest Neighbor Search: An In-depth Experimental Study. Proc. ACM Manag. Data 3(6): 1-26 (2025) - [j20]Xiaokai Zhou, Xiao Yan, Fangcheng Fu, Ziwen Fu, Tieyun Qian, Yuanyuan Zhu, Qinbo Zhang, Bin Cui, Jiawei Jiang:
PS-MI: Accurate, Efficient, and Private Data Valuation in Vertical Federated Learning. Proc. VLDB Endow. 18(10): 3559-3572 (2025) - [c64]Qinbo Zhang, Xiao Yan, Yukai Ding, Fangcheng Fu, Quanqing Xu, Ziyi Li, Chuang Hu, Jiawei Jiang:
HaCore: Efficient Coreset Construction with Locality Sensitive Hashing for Vertical Federated Learning. AAAI 2025: 22515-22523 - [c63]Qinbo Zhang, Xiao Yan, Yukai Ding, Fangcheng Fu, Chuang Hu, Quanqing Xu, Xu Chen, Jiawei Jiang:
RAP: Random Projection is What You Need for Vertical Federated Learning. DASFAA (4) 2025: 225-241 - [c62]Ziyi Li, Xiao Yan, Yuanyuan Zhu, Ruixuan Zhang, Hao Huang, Qinbo Zhang, Guojia Wan, Jiawei Jiang:
VF-FD: Feature Deduplication for Vertical Federated Learning. DASFAA (4) 2025: 242-258 - [c61]Ruixuan Zhang, Ziyi Li, Xiao Yan, Xiaokai Zhou, Hao Wang, Hao Huang, Jiawei Jiang:
InC: A Vertical Federated Learning Framework with Multiple Noisy Labels. DASFAA (5) 2025: 572-587 - [c60]Xiaokai Zhou, Xiao Yan, Fangcheng Fu, Xinyan Li, Hao Huang, Quanqing Xu, Chuanhui Yang, Bo Du, Tieyun Qian, Jiawei Jiang:
Hounding Data Diversity: Towards Participant Selection in Vertical Federated Learning. ICDE 2025: 2810-2823 - [c59]Haitian Jiang, Renjie Liu, Zengfeng Huang, Yichuan Wang, Xiao Yan, Zhenkun Cai, Minjie Wang, David Wipf:
MuseGNN: Forming Scalable, Convergent GNN Layers that Minimize a Sampling-Based Energy. ICLR 2025 - [c58]Yuxiang Wang, Xiao Yan, Shiyu Jin, Quanqing Xu, Chuang Hu, Yuanyuan Zhu, Bo Du, Jia Wu, Jiawei Jiang:
Exploiting Text Semantics for Few and Zero Shot Node Classification on Text-attributed Graph. IJCAI 2025: 3462-3470 - [c57]Qinbo Zhang, Xiao Yan, Yanfeng Zhao, Fangcheng Fu, Quanqing Xu, Yukai Ding, Xiaokai Zhou, Chuang Hu, Jiawei Jiang:
Model Rake: A Defense Against Stealing Attacks in Split Learning. IJCAI 2025: 7002-7010 - [c56]Kaihao Ma, Renjie Liu, Xiao Yan, Zhenkun Cai, Xiang Song, Minjie Wang, Yichao Li, James Cheng:
Adaptive Parallel Training for Graph Neural Networks. PPoPP 2025: 29-42 - [c55]Xin Wang, Jiawei Jiang, Xiao Yan, Qiang Huang:
TESA: A Trajectory and Semantic-aware Dynamic Heterogeneous Graph Neural Network. WWW 2025: 1305-1315 - [i39]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) - [i38]Renjie Liu, Haitian Jiang, Xiao Yan, Bo Tang, Jinyang Li:
PolyG: Effective and Efficient GraphRAG with Adaptive Graph Traversal. CoRR abs/2504.02112 (2025) - [i37]Yuxiang Wang, Xiao Yan, Shiyu Jin, Quanqing Xu, Chuang Hu, Yuanyuan Zhu, Bo Du, Jia Wu, Jiawei Jiang:
Exploiting Text Semantics for Few and Zero Shot Node Classification on Text-attributed Graph. CoRR abs/2505.08168 (2025) - [i36]Yuxiang Wang, Xiao Yan, Chi Ma, Mincong Huang, Xiaoguang Li, Lei Yu, Chuan Liu, Ruidong Han, He Jiang, Bin Yin, Shangyu Chen, Fei Jiang, Xiang Li, Wei Lin, Haowei Han, Bo Du, Jiawei Jiang:
MTGRBoost: Boosting Large-scale Generative Recommendation Models in Meituan. CoRR abs/2505.12663 (2025) - [i35]Qiming Zeng, Xiao Yan, Hao Luo, Yuhao Lin, Yuxiang Wang, Fangcheng Fu, Bo Du, Quanqing Xu, Jiawei Jiang:
How Significant Are the Real Performance Gains? An Unbiased Evaluation Framework for GraphRAG. CoRR abs/2506.06331 (2025) - [i34]Xiangyu Zhi, Meng Chen, Xiao Yan, Baotong Lu, Hui Li, Qianxi Zhang, Qi Chen, James Cheng:
Towards Efficient and Scalable Distributed Vector Search with RDMA. CoRR abs/2507.06653 (2025) - [i33]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) - [i32]Mocheng Li, Xiao Yan, Baotong Lu, Yue Zhang, James Cheng, Chenhao Ma:
Attribute Filtering in Approximate Nearest Neighbor Search: An In-depth Experimental Study. CoRR abs/2508.16263 (2025) - [i31]Yanqi Chen, Xiao Yan, Alexandra Meliou, Eric Lo:
DiskJoin: Large-scale Vector Similarity Join with SSD. CoRR abs/2508.18494 (2025) - [i30]Hui Li, Shiyuan Deng, Xiao Yan, Xiangyu Zhi, James Cheng:
SAQ: Pushing the Limits of Vector Quantization through Code Adjustment and Dimension Segmentation. CoRR abs/2509.12086 (2025) - [i29]Chunxiao Ye, Xiao Yan, Eric Lo:
Compass: General Filtered Search across Vector and Structured Data. CoRR abs/2510.27141 (2025) - [i28]Jiachen Zhao, Xiao Yan, Eric Lo:
Approximate Diverse k-nearest Neighbor Search in Vector Database. CoRR abs/2510.27243 (2025) - [i27]Jiaping Cao, Ting Sun, Man Lung Yiu, Xiao Yan, Bo Tang:
CheetahGIS: Architecting a Scalable and Efficient Streaming Spatial Query Processing System. CoRR abs/2511.09262 (2025) - [i26]Yuxiang Wang, Siwen Wang, Haowei Han, Ao Wang, Boya Liu, Yong Zhao, Chengbo Wu, Bin Zhu, Bin Qin, Xiaokai Zhou, Xiao Yan, Jiawei Jiang, Bo Du:
DevPiolt: Operation Recommendation for IoT Devices at Xiaomi Home. CoRR abs/2511.14227 (2025) - 2024
- [j19]Dan Zeng, Wen Jiang, Xiao Yan, Weibao Fu, Qiaomu Shen, Raymond N. J. Veldhuis, Bo Tang:
Face super resolution with a high frequency highway. IET Image Process. 18(12): 3570-3586 (2024) - [j18]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) - [j17]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) - [j16]Kaihao Ma, Zhenkun Cai, Xiao Yan, Yang Zhang, Zhi Liu, Yihui Feng, Chao Li, Wei Lin, James Cheng:
PPS: Fair and efficient black-box scheduling for multi-tenant GPU clusters. Parallel Comput. 120: 103082 (2024) - [j15]Jian Zeng, Leong Hou U, Xiao Yan, Yan Li, Mingji Han, Bo Tang:
Extracting Top- Frequent and Diversified Patterns in Knowledge Graphs. IEEE Trans. Knowl. Data Eng. 36(2): 608-626 (2024) - [j14]Qiaomu Shen, Chaozu Zhang, Xiao Yan, Chuan Yang, Dan Zeng, Wei Zeng, Bo Tang:
$\mathsf {CheetahTraj}$CheetahTraj: Efficient Visualization for Large Trajectory Dataset With Quality Guarantee. IEEE Trans. Knowl. Data Eng. 36(11): 5737-5752 (2024) - [j13]Qiaomu Shen, Zhengxin You, Xiao Yan, Chaozu Zhang, Ke Xu, Dan Zeng, Jianbin Qin, Bo Tang:
QEVIS: Multi-Grained Visualization of Distributed Query Execution. IEEE Trans. Vis. Comput. Graph. 30(1): 153-163 (2024) - [c54]Xiaokai Zhou, Xiao Yan, Xinyan Li, Hao Huang, Quanqing Xu, Qinbo Zhang, Yen Jerome, Zhaohui Cai, Jiawei Jiang:
VFDV-IM: An Efficient and Securely Vertical Federated Data Valuation. DASFAA (1) 2024: 409-424 - [c53]Qinbo Zhang, Xiao Yan, Yukai Ding, Quanqing Xu, Chuang Hu, Xiaokai Zhou, Jiawei Jiang:
TreeCSS: An Efficient Framework for Vertical Federated Learning. DASFAA (1) 2024: 425-441 - [c52]Yuxiang Wang, Xiao Yan, Chuang Hu, Quanqing Xu, Chuanhui Yang, Fangcheng Fu, Wentao Zhang, Hao Wang, Bo Du, Jiawei Jiang:
Generative and Contrastive Paradigms Are Complementary for Graph Self-Supervised Learning. ICDE 2024: 3364-3378 - [c51]Zheng Bian, Xiao Yan, Jiahao Zhang, Man Lung Yiu, Bo Tang:
QSRP: Efficient Reverse k-Ranks Query Processing on High-Dimensional Embeddings. ICDE 2024: 4614-4627 - [c50]Yuxiang Wang, Xiao Yan, Shiyu Jin, Hao Huang, Quanqing Xu, Qingchen Zhang, Bo Du, Jiawei Jiang:
Self-Supervised Learning for Graph Dataset Condensation. KDD 2024: 3289-3298 - [c49]Wentao Ning, Reynold Cheng, Xiao Yan, Ben Kao, Nan Huo, Nur Al Hasan Haldar, Bo Tang:
Debiasing Recommendation with Personal Popularity. WWW 2024: 3400-3409 - [i25]Wentao Ning, Reynold Cheng, Xiao Yan, Ben Kao, Nan Huo, Nur Al Hasan Haldar, Bo Tang:
Debiasing Recommendation with Personal Popularity. CoRR abs/2402.07425 (2024) - [i24]Renjie Liu, Yichuan Wang, Xiao Yan, Zhenkun Cai, Minjie Wang, Haitian Jiang, Bo Tang, Jinyang Li:
DiskGNN: Bridging I/O Efficiency and Model Accuracy for Out-of-Core GNN Training. CoRR abs/2405.05231 (2024) - [i23]Qinbo Zhang, Xiao Yan, Yukai Ding, Quanqing Xu, Chuang Hu, Xiaokai Zhou, Jiawei Jiang:
TreeCSS: An Efficient Framework for Vertical Federated Learning. CoRR abs/2408.01691 (2024) - [i22]Yuxiang Wang, Xiao Yan, Shiyu Jin, Quanqing Xu, Chuanhui Yang, Yuanyuan Zhu, Chuang Hu, Bo Du, Jiawei Jiang:
Hound: Hunting Supervision Signals for Few and Zero Shot Node Classification on Text-attributed Graph. CoRR abs/2409.00727 (2024) - [i21]Qiang Huang, Xiao Yan, Xin Wang, Susie Xi Rao, Zhichao Han, Fangcheng Fu, Wentao Zhang, Jiawei Jiang:
Retrofitting Temporal Graph Neural Networks with Transformer. CoRR abs/2409.05477 (2024) - 2023
- [j12]Dan Zeng, Zelin Li, Xiao Yan, Wen Jiang, Xinshao Wang, Jiang Liu, Bo Tang:
Cascaded face super-resolution with shape and identity priors. IET Image Process. 17(11): 3309-3322 (2023) - [j11]Fang Wang, Xiao Yan, Man Lung Yiu, Shuai Li, Zunyao Mao, Bo Tang:
Speeding Up End-to-end Query Execution via Learning-based Progressive Cardinality Estimation. Proc. ACM Manag. Data 1(1): 28:1-28:25 (2023) - [j10]Shiqi Zhang, Renchi Yang, Xiaokui Xiao, Xiao Yan, Bo Tang:
Effective and Efficient PageRank-based Positioning for Graph Visualization. Proc. ACM Manag. Data 1(1): 76:1-76:27 (2023) - [j9]Kaihao Ma, Xiao Yan, Zhenkun Cai, Yuzhen Huang, Yidi Wu, James Cheng:
FEC: Efficient Deep Recommendation Model Training with Flexible Embedding Communication. Proc. ACM Manag. Data 1(2): 165:1-165:21 (2023) - [j8]Xiangyu Zhi, Xiao Yan, Bo Tang, Ziyao Yin, Yanchao Zhu, Minqi Zhou:
CoroGraph: Bridging Cache Efficiency and Work Efficiency for Graph Algorithm Execution. Proc. VLDB Endow. 17(4): 891-903 (2023) - [c48]Wentao Ning, Xiao Yan, Weiwen Liu, Reynold Cheng, Rui Zhang, Bo Tang:
Multi-domain Recommendation with Embedding Disentangling and Domain Alignment. CIKM 2023: 1917-1927 - [c47]Zelin Li, Dan Zeng, Xiao Yan, Qiaomu Shen, Bo Tang:
Analyzing and Combating Attribute Bias for Face Restoration. IJCAI 2023: 1151-1159 - [c46]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 - [c45]Zhenkun Cai, Qihui Zhou, Xiao Yan, Da Zheng, Xiang Song, Chenguang Zheng, James Cheng, George Karypis:
DSP: Efficient GNN Training with Multiple GPUs. PPoPP 2023: 392-404 - [c44]Ping Gong, Renjie Liu, Zunyao Mao, Zhenkun Cai, Xiao Yan, Cheng Li, Minjie Wang, Zhuozhao Li:
gSampler: General and Efficient GPU-based Graph Sampling for Graph Learning. SOSP 2023: 562-578 - [i20]Wentao Ning, Xiao Yan, Weiwen Liu, Reynold Cheng, Rui Zhang, Bo Tang:
Multi-domain Recommendation with Embedding Disentangling and Domain Alignment. CoRR abs/2308.05508 (2023) - [i19]Haitian Jiang, Renjie Liu, Xiao Yan, Zhenkun Cai, Minjie Wang, David Wipf:
MuseGNN: Interpretable and Convergent Graph Neural Network Layers at Scale. CoRR abs/2310.12457 (2023) - [i18]Yuxiang Wang, Xiao Yan, Chuang Hu, Fangcheng Fu, Wentao Zhang, Hao Wang, Shuo Shang, Jiawei Jiang:
Generative and Contrastive Paradigms Are Complementary for Graph Self-Supervised Learning. CoRR abs/2310.15523 (2023) - [i17]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
- [j7]Jiansheng Fang, Dan Zeng, Xiao Yan, Yubing Zhang, Hongbo Liu, Bo Tang, Ming Yang, Jiang Liu:
Combating spatial redundancy with spectral norm attention in convolutional learners. Neurocomputing 511: 105-116 (2022) - [j6]Rentong Guo, Xiaofan Luan, Long Xiang, Xiao Yan, Xiaomeng Yi, Jigao Luo, Qianya Cheng, Weizhi Xu, Jiarui Luo, Frank Liu, Zhenshan Cao, Yanliang Qiao, Ting Wang, Bo Tang, Charles Xie:
Manu: A Cloud Native Vector Database Management System. Proc. VLDB Endow. 15(12): 3548-3561 (2022) - [j5]Yidi Wu, Kaihao Ma, Xiao Yan, Zhi Liu, Zhenkun Cai, Yuzhen Huang, James Cheng, Han Yuan, Fan Yu:
Elastic Deep Learning in Multi-Tenant GPU Clusters. IEEE Trans. Parallel Distributed Syst. 33(1): 144-158 (2022) - [j4]Zhenkun Cai, Xiao Yan, Kaihao Ma, Yidi Wu, Yuzhen Huang, James Cheng, Teng Su, Fan Yu:
TensorOpt: Exploring the Tradeoffs in Distributed DNN Training With Auto-Parallelism. IEEE Trans. Parallel Distributed Syst. 33(8): 1967-1981 (2022) - [c43]Wentao Ning, Reynold Cheng, Jiajun Shen, Nur Al Hasan Haldar, Ben Kao, Xiao Yan, Nan Huo, Wai Kit Lam, Tian Li, Bo Tang:
Automatic Meta-Path Discovery for Effective Graph-Based Recommendation. CIKM 2022: 1563-1572 - [c42]Haotian Liu, Bo Tang, Jiashu Zhang, Yangshen Deng, Xiao Yan, Xinying Zheng, Qiaomu Shen, Dan Zeng, Zunyao Mao, Chaozu Zhang, Zhengxin You, Zhihao Wang, Runzhe Jiang, Fang Wang, Man Lung Yiu, Huan Li, Mingji Han, Qian Li, Zhenghai Luo:
GHive: accelerating analytical query processing in apache hive via CPU-GPU heterogeneous computing. SoCC 2022: 158-172 - [c41]Dan Zeng, Zhiyuan Lin, Xiao Yan, Yuting Liu, Fei Wang, Bo Tang:
Face2Exp: Combating Data Biases for Facial Expression Recognition. CVPR 2022: 20259-20268 - [c40]Bo Tang, Jian Zeng, Qiandong Tang, Chuan Yang, Qiaomu Shen, Leong Hou U, Xiao Yan, Dan Zeng:
CheetahKG: A Demonstration for Core-based Top-$k$ Frequent Pattern Discovery on Knowledge Graphs. ICDE 2022: 3134-3137 - [c39]Jiahao Zhang, Bo Tang, Man Lung Yiu, Xiao Yan, Keming Li:
T-LevelIndex: Towards Efficient Query Processing in Continuous Preference Space. SIGMOD Conference 2022: 2149-2162 - [c38]Haotian Liu, Bo Tang, Jiashu Zhang, Yangshen Deng, Xinying Zheng, Qiaomu Shen, Xiao Yan, Dan Zeng, Zunyao Mao, Chaozu Zhang, Zhengxin You, Zhihao Wang, Runzhe Jiang, Fang Wang, Man Lung Yiu, Huan Li, Mingji Han, Qian Li, Zhenghai Luo:
GHive: A Demonstration of GPU-Accelerated Query Processing in Apache Hive. SIGMOD Conference 2022: 2417-2420 - [i16]Rentong Guo, Xiaofan Luan, Long Xiang, Xiao Yan, Xiaomeng Yi, Jigao Luo, Qianya Cheng, Weizhi Xu, Jiarui Luo, Frank Liu, Zhenshan Cao, Yanliang Qiao, Ting Wang, Bo Tang, Charles Xie:
Manu: A Cloud Native Vector Database Management System. CoRR abs/2206.13843 (2022) - [i15]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
- [j3]Jiansheng Fang, Huazhu Fu, Dan Zeng, Xiao Yan, Yuguang Yan, Jiang Liu:
Combating Ambiguity for Hash-Code Learning in Medical Instance Retrieval. IEEE J. Biomed. Health Informatics 25(10): 3943-3954 (2021) - [j2]Yunjian Zhao, Zhi Liu, Yidi Wu, Guanxian Jiang, James Cheng, Kunlong Liu, Xiao Yan:
Timestamped State Sharing for Stream Analytics. IEEE Trans. Parallel Distributed Syst. 32(11): 2691-2704 (2021) - [c37]Zhenkun Cai, Xiao Yan, Yidi Wu, Kaihao Ma, James Cheng, Fan Yu:
DGCL: an efficient communication library for distributed GNN training. EuroSys 2021: 130-144 - [c36]Jian Zeng, Leong Hou U, Xiao Yan, Mingji Han, Bo Tang:
Fast Core-based Top-k Frequent Pattern Discovery in Knowledge Graphs. ICDE 2021: 936-947 - [c35]Wentao Ning, Xiao Yan, Bo Tang:
Towards Efficient MaxBRNN Computation for Streaming Updates. ICDE 2021: 2297-2302 - [c34]Han Yang, Xiao Yan, Xinyan Dai, Yongqiang Chen, James Cheng:
Self-Enhanced GNN: Improving Graph Neural Networks Using Model Outputs. IJCNN 2021: 1-8 - [c33]Long Xiang, Xiao Yan, Lan Lu, Bo Tang:
GAIPS: Accelerating Maximum Inner Product Search with GPU. SIGIR 2021: 1920-1924 - [c32]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 - [i14]Jiansheng Fang, Huazhu Fu, Dan Zeng, Xiao Yan, Yuguang Yan, Jiang Liu:
Combating Ambiguity for Hash-code Learning in Medical Instance Retrieval. CoRR abs/2105.08872 (2021) - [i13]Shiqi Zhang, Renchi Yang, Xiaokui Xiao, Xiao Yan, Bo Tang:
PPRviz: Effective and Efficient Graph Visualization based on Personalized PageRank. CoRR abs/2112.14944 (2021) - 2020
- [c31]Xinyan Dai, Xiao Yan, Kelvin Kai Wing Ng, Jiu Liu, James Cheng:
Norm-Explicit Quantization: Improving Vector Quantization for Maximum Inner Product Search. AAAI 2020: 51-58 - [c30]Jie Liu, Xiao Yan, Xinyan Dai, Zhirong Li, James Cheng, Ming-Chang Yang:
Understanding and Improving Proximity Graph Based Maximum Inner Product Search. AAAI 2020: 139-146 - [c29]Yitong Meng, Xinyan Dai, Xiao Yan, James Cheng, Weiwen Liu, Jun Guo, Benben Liao, Guangyong Chen:
PMD: An Optimal Transportation-Based User Distance for Recommender Systems. ECIR (2) 2020: 272-280 - [c28]Xinyan Dai, Xiao Yan, Kaiwen Zhou, Yuxuan Wang, Han Yang, James Cheng:
Convolutional Embedding for Edit Distance. SIGIR 2020: 599-608 - [c27]Yitong Meng, Xiao Yan, Weiwen Liu, Huanhuan Wu, James Cheng:
Wasserstein Collaborative Filtering for Item Cold-start Recommendation. UMAP 2020: 318-322 - [i12]Xinyan Dai, Xiao Yan, Kaiwen Zhou, Yuxuan Wang, Han Yang, James Cheng:
Edit Distance Embedding using Convolutional Neural Networks. CoRR abs/2001.11692 (2020) - [i11]Han Yang, Xiao Yan, Xinyan Dai, James Cheng:
Self-Enhanced GNN: Improving Graph Neural Networks Using Model Outputs. CoRR abs/2002.07518 (2020) - [i10]Zhenkun Cai, Kaihao Ma, Xiao Yan, Yidi Wu, Yuzhen Huang, James Cheng, Teng Su, Fan Yu:
TensorOpt: Exploring the Tradeoffs in Distributed DNN Training with Auto-Parallelism. CoRR abs/2004.10856 (2020) - [i9]Haibo Xiu, Xiao Yan, Xiaoqiang Wang, James Cheng, Lei Cao:
Hierarchical Graph Matching Network for Graph Similarity Computation. CoRR abs/2006.16551 (2020) - [i8]Yitong Meng, Jie Liu, Xiao Yan, James Cheng:
The item selection problem for user cold-start recommendation. CoRR abs/2010.14013 (2020)
2010 – 2019
- 2019
- [c26]Shiyuan Deng, Xiao Yan, Kelvin Kai Wing Ng, Chenyu Jiang, James Cheng:
Pyramid: A General Framework for Distributed Similarity Search on Large-scale Datasets. IEEE BigData 2019: 1066-1071 - [c25]Hongzhi Chen, Changji Li, Juncheng Fang, Chenghuan Huang, James Cheng, Jie Zhang, Yifan Hou, Xiao Yan:
Grasper: A High Performance Distributed System for OLAP on Property Graphs. SoCC 2019: 87-100 - [c24]Yuzhen Huang, Xiao Yan, Guanxian Jiang, Tatiana Jin, James Cheng, An Xu, Zhanhao Liu, Shuo Tu:
Tangram: Bridging Immutable and Mutable Abstractions for Distributed Data Analytics. USENIX ATC 2019: 191-206 - [i7]Shiyuan Deng, Xiao Yan, Kelvin Kai Wing Ng, Chenyu Jiang, James Cheng:
Pyramid: A General Framework for Distributed Similarity Search. CoRR abs/1906.10602 (2019) - [i6]Yidi Wu, Kaihao Ma, Xiao Yan, Zhi Liu, James Cheng:
Elastic deep learning in multi-tenant GPU cluster. CoRR abs/1909.11985 (2019) - [i5]Jie Liu, Xiao Yan, Xinyan Dai, Zhirong Li, James Cheng, Ming-Chang Yang:
Understanding and Improving Proximity Graph based Maximum Inner Product Search. CoRR abs/1909.13459 (2019) - [i4]Xinyan Dai, Xiao Yan, Kelvin Kai Wing Ng, Jie Liu, James Cheng:
Norm-Explicit Quantization: Improving Vector Quantization for Maximum Inner Product Search. CoRR abs/1911.04654 (2019) - [i3]Xinyan Dai, Xiao Yan, Kaiwen Zhou, Han Yang, Kelvin Kai Wing Ng, James Cheng, Yu Fan:
Hyper-Sphere Quantization: Communication-Efficient SGD for Federated Learning. CoRR abs/1911.04655 (2019) - 2018
- [j1]Yuzhen Huang, Tatiana Jin, Yidi Wu, Zhenkun Cai, Xiao Yan, Fan Yang, Jinfeng Li, Yuying Guo, James Cheng:
FlexPS: Flexible Parallelism Control in Parameter Server Architecture. Proc. VLDB Endow. 11(5): 566-579 (2018) - [c23]Hongzhi Chen, Miao Liu, Yunjian Zhao, Xiao Yan, Da Yan, James Cheng:
G-Miner: an efficient task-oriented graph mining system. EuroSys 2018: 32:1-32:12 - [c22]Xiao Yan, Jinfeng Li, Xinyan Dai, Hongzhi Chen, James Cheng:
Norm-Ranging LSH for Maximum Inner Product Search. NeurIPS 2018: 2956-2965 - [c21]Jinfeng Li, Xiao Yan, Jie Zhang, An Xu, James Cheng, Jie Liu, Kelvin Kai Wing Ng, Ti-Chung Cheng:
A General and Efficient Querying Method for Learning to Hash. SIGMOD Conference 2018: 1333-1347 - [i2]Xiao Yan, Jinfeng Li, Xinyan Dai, Hongzhi Chen, James Cheng:
Norm-Ranging LSH for Maximum Inner Product Search. CoRR abs/1809.08782 (2018) - [i1]Xiao Yan, Xinyan Dai, Jie Liu, Kaiwen Zhou, James Cheng:
Norm-Range Partition: A Univiseral Catalyst for LSH based Maximum Inner Product Search (MIPS). CoRR abs/1810.09104 (2018) - 2017
- [c20]Jinfeng Li, James Cheng, Fan Yang, Yuzhen Huang, Yunjian Zhao, Xiao Yan, Ruihao Zhao:
LoSHa: A General Framework for Scalable Locality Sensitive Hashing. SIGIR 2017: 635-644 - 2015
- [c19]Bin Fu, Zhiqing Wei, Xiao Yan, Kezhong Zhang, Zhiyong Feng, Qixun Zhang:
A game-theoretic approach for bandwidth allocation and pricing in heterogeneous wireless networks. WCNC 2015: 1684-1689 - [c18]Long Zhang, Xianghui Han, Xiao Yan, Zhiyong Feng:
Interference-constrained access opportunity distribution for secondary communication in TV white space. WCNC 2015: 1888-1893 - 2014
- [c17]Mingfei Gao, Xiao Yan, Zhiyong Feng, Ping Zhang:
Channel classification based fast spectrum sensing. ICC Workshops 2014: 285-289 - [c16]Hao Lian, Xiao Yan, Lina Weng, Jian Yang, Zhiyong Feng, Qixun Zhang, Yingzhao Yan:
Match-Degree based bandwidth allocation scheme in heterogeneous networks. ICC 2014: 1242-1247 - [c15]Xianghui Han, Long Zhang, Xiao Yan, Kai Chen, Jia Min, Chenxi Su, Zhiyong Feng:
A tractable approach to coexistence analysis between COMPASS and TD-LTE system. ICT 2014: 77-81 - [c14]Huidi Li, Yan Duan, Xiao Yan, Long Zhang, Kai Chen, Jia Min, Zhiyong Feng:
A signaling load and radio resource utilization balancing scheme for 3G cellular networks. ICT 2014: 171-175 - [c13]Kai Chen, Jia Min, Xianghui Han, Xiao Yan, Yan Duan, Long Zhang, Zhiyong Feng:
Spectrum survey for TV band in Beijing. ICT 2014: 267-271 - [c12]Mingfei Gao, Xiao Yan, Yuchi Zhang, Chaoyue Liu, Yifan Zhang, Zhiyong Feng:
Fast Spectrum Sensing: A Combination of Channel Correlation and Markov Model. MILCOM 2014: 405-410 - [c11]Hongwei Cheng, Xiao Yan, Hao Lian, Lina Weng, Qixun Zhang, Zhiyong Feng:
A Novel Collision Avoidance Algorithm for IEEE 802.11 Wireless LANs. MILCOM 2014: 879-884 - [c10]Yajian Huang, Xiao Yan, Kai Chen, Hao Zhou, Yifan Zhang, Zhiyong Feng:
TV Band Radio Environment Mapping in Beijing. MILCOM 2014: 1675-1680 - [c9]Chenxi Su, Xianghui Han, Xiao Yan, Qixun Zhang, Zhiyong Feng:
Coexistence Analysis between IMT-Advanced System and Fixed Satellite Service System. MILCOM 2014: 1692-1697 - [c8]Ishtiaq Ahmad, Adnan Muhammad, Xiao Yan, Jia Min, Zhiyong Feng, Ping Zhang:
Low Complexity Linear Precoding Scheme for Interference Management in Femtocell Networks. VTC Fall 2014: 1-5 - [c7]Zhiyong Feng, Jia Min, Xiao Yan, Yu Gao, Qixun Zhang, Yue Zhang:
Characterizing and Exploiting Temporal-Spatial Radio Resource Margins in Cellular Networks. VTC Fall 2014: 1-5 - [c6]Xiao Yan, Ishtiaq Ahmad, Mingfei Gao, Jian Yang, Yuchi Zhang, Zhiyong Feng, Yifan Zhang:
Improved Energy Detector for Full Duplex Sensing. VTC Fall 2014: 1-5 - [c5]Yuchi Zhang, Zhiyong Feng, Huidi Li, Qixun Zhang, Xiao Yan, Jian Yang:
Scaling Law of Multi-Hop Cognitive Network with a Novel Hybrid Access Scheme. VTC Fall 2014: 1-5 - [c4]Jian Yang, Xiao Yan, Mingfei Gao, Hao Lian, Han Zhang, Zhiyong Feng, Yifan Zhang:
A novel spectrum sensing scheme based on phase difference. WCNC 2014: 264-268 - 2013
- [c3]Hao Lian, Xiao Yan, Lina Weng, Zhiyong Feng, Qixun Zhang, Ping Zhang:
Efficient traffic allocation scheme for multi-flow distribution in heterogeneous networks. GLOBECOM Workshops 2013: 923-928 - [c2]Xiaomin Liu, Qixun Zhang, Xiao Yan, Zhiyong Feng, Jianwei Liu, Ying Zhu, Jianhua Zhang:
A feature detector based on compressed sensing and wavelet transform for wideband cognitive radio. PIMRC 2013: 2611-2615 - [c1]Mingfei Gao, Xiao Yan, Ying Zhu, Qixun Zhang, Zhiyong Feng, Baoling Liu:
Channel Correlation Assisted Fast Spectrum Sensing. VTC Fall 2013: 1-5
Coauthor Index
[j28] [c72] [c71] [c67] [c66] [i44] [i40] [j24] [j22] [j21] [c56] [i39] [i34] [i33] [i32] [i30] [j18] [j17] [j16] [j9] [c46] [c45] [i17] [j5] [j4] [i15] [j2] [c37] [c34] [c32] [c31] [c30] [c29] [c28] [c27] [i12] [i11] [i10] [i9] [i8] [c26] [c25] [c24] [i7] [i6] [i5] [i4] [i3] [j1] [c23] [c22] [c21] [i2] [i1] [c20]
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