Publications

Author: Category:

2025

AlayaDB: The Data Foundation for Efficient and Effective Long-context LLM Inference

Proceedings of the ACM Conference on Management of Data (SIGMOD, CCF-A), 2025

Authors: Yangshen Deng*, Zhengxin You*, Long Xiang*, Qilong Li, Peiqi Yuan, Zhaoyang Hong, Yitao Zheng, Wanting Li, Runzhong Li, Haotian Liu, Kyriakos Mouratidis, Man Lung Yiu, Huan Li, Qiaomu Shen, Rui Mao, Bo Tang

AlayaDB is a cutting-edge vector database system natively architected for efficient and effective long-context inference for Large Language Models (LLMs) at AlayaDB AI. Specifically, it decouples the KV cache and attention computation from the LLM inference systems, and encapsulates them into a novel vector database system. For the Model as a Service providers (MaaS), AlayaDB consumes fewer hardware resources and offers higher generation quality for various workloads with different kinds of Service Level Objectives (SLOs), when comparing with the existing alternative solutions (e.g., KV cache disaggregation, retrieval-based sparse attention). The crux of AlayaDB is that it abstracts the attention computation and cache management for LLM inference into a query processing procedure, and optimizes the performance via a native query optimizer. In this work, we demonstrate the effectiveness of AlayaDB via (i) three use cases from our industry partners, and (ii) extensive experimental results on LLM inference benchmarks.

Tao: Improving Resource Utilization while Guaranteeing SLO in Multi-tenant Relational Database-as-a-Service

Proceedings of the ACM on Management of Data (SIGMOD, CCF-A), 2025

Authors: Haotian Liu, Runzhong Li, Ziyang Zhang, Bo Tang

It is an open challenge for cloud database service providers to guarantee tenants' service-level objectives (SLOs) and enjoy high resource utilization simultaneously. In this work, we propose a novel system Tao to overcome it. Tao consists of three key components: (i) tasklet-based DAG generator, (ii) tasklet-based DAG executor, and (iii) SLO-guaranteed scheduler. The core concept in Tao is tasklet, a coroutine-based lightweight execution unit of the physical execution plan. In particular, we first convert each SQL operator in the traditional physical execution plan into a set of fine-grained tasklets by the tasklet-based DAG generator. Then, we abstract the tasklet-based DAG execution procedure and implement the tasklet-based DAG executor using C++20 coroutines. Finally, we introduce the SLO-guaranteed scheduler for scheduling tenants' tasklets across CPU cores. This scheduler guarantees tenants' SLOs with a token bucket model and improves resource utilization with an on-demand core adjustment strategy. We build Tao on an open-sourced relational database, Hyrise, and conduct extensive experimental studies to demonstrate its superiority over existing solutions.

Athena: An Effective Learning-based Framework for Query Optimizer Performance Improvement

Proceedings of the ACM on Management of Data (SIGMOD, CCF-A), 2025

Authors: Runzhong Li, Qilong Li, Haotian Liu, Rui Mao, Qing Li, Bo Tang

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GPH: An Efficient and Effective Perfect Hashing Scheme for GPU Architecture

Proceedings of the ACM on Management of Data (SIGMOD, CCF-A), 2025

Authors: Jiaping Cao, Le Xu, Man Lung Yiu, Jianbin Qin, Bo Tang

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Nezha: An Efficient Distributed Graph Processing System on Heterogeneous Hardware

Proceedings of the ACM on Management of Data (SIGMOD, CCF-A), 2025

Authors: Pengjie Cui, Haotian Liu, Dong Jiang, Bo Tang, Ye Yuan

DiskGNN: Bridging I/O Efficiency and Model Accuracy for Out-of-Core GNN Training

Proceedings of the ACM on Management of Data (SIGMOD, CCF-A), 2025

Authors: Renjie Liu, Yichuan Wang, Xiao Yan, Zhenkun Cai, Minjie Wang, Haitian Jiang, Bo Tang, Jinyang Li.

Graph neural networks (GNNs) are models specialized for graph data and widely used in applications. To train GNNs on large graphs that exceed CPU memory, several systems have been designed to store data on disk and conduct out-of-core processing. However, these systems suffer from either read amplification when conducting random reads for node features that are smaller than a disk page, or degraded model accuracy by treating the graph as disconnected partitions. To close this gap, we build DiskGNN for high I/O efficiency and fast training without model accuracy degradation. The key technique is offline sampling, which decouples graph sampling from model computation. In particular, by conducting graph sampling beforehand for multiple mini-batches, DiskGNN acquires the node features that will be accessed during model computation and conducts pre-processing to pack the node features of each mini-batch contiguously on disk to avoid read amplification for computation. Given the feature access information acquired by offline sampling, DiskGNN also adopts designs including four-level feature store to fully utilize the memory hierarchy of GPU and CPU to cache hot node features and reduce disk access, batched packing to accelerate feature packing during pre-processing, and pipelined training to overlap disk access with other operations. We compare DiskGNN with state-of-the-art out-of-core GNN training systems. The results show that DiskGNN has more than 8× speedup over existing systems while matching their best model accuracy. DiskGNN is open-source at https://github.com/Liu-rj/DiskGNN.

QOVIS: Understanding and Diagnosing Query Optimizer via a Visualization-assisted Approach

Proceedings of the VLDB Endowment (PVLDB, CCF-A), 2025

Authors: Zhengxin You, Qiaomu Shen, Man Lung Yiu, Bo Tang.

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Efficient and Effective Algorithms for A Family of Influence Maximization Problems with A Matroid Constraint

Proceedings of the VLDB Endowment (PVLDB, CCF-A), 2025

Authors: Yiqian Huang, Shiqi Zhang, Laks Lakshmanan, Wenqing Lin, Xiaokui Xiao, Bo Tang

2024

nsDB: Architecting the Next Generation Database by Integrating Neural and Symbolic Systems (vision)

Proceedings of the VLDB Endowment (PVLDB, CCF-A), 2024

Authors: Ye Yuan, Bo Tang, Tianfei Zhou, Zhiwei Zhang, Jianbin Qin

Accelerating Merkle Patricia Trie with GPU

Proceedings of the VLDB Endowment (PVLDB, CCF-A), 2024

Authors: Yangshen Deng, Muxi Yan, Bo Tang

CGgraph: An Ultra-fast Graph Processing System on Modern Commodity CPU-GPU Co-processor

Proceedings of the VLDB Endowment (PVLDB, CCF-A), 2024

Authors: Pengjie Cui, Haotian Liu, Bo Tang, Ye Yuan

CoroGraph: Bridging Cache Efficiency and Work Efficiency for Graph Algorithm Execution

Proceedings of the VLDB Endowment (PVLDB, CCF-A), 2024

Authors: Xiangyu Zhi, Xiao Yan, Bo Tang, Ziyao Yin, Y. Zhu, M. Zhou

Marrying Top-k with Skyline Queries: Operators with Relaxed Preference Input and Controllable Output Size

ACM Transactions on Database Systems (TODS, CCF-A), 2024

Authors: Kyriakos Mouratidis, Keming Li, Bo Tang

How Does Software Prefetching Work on GPU Query Processing?

Proceedings of the 20th International Workshop on Data Management on New Hardware (DaMoN, CCF-A), 2024

Authors: Yangshen Deng, Shiwen Chen, Zhaoyang Hong, Bo Tang

LearnSC: An Efficient and Unified Learning-based Framework for Subgraph Counting Problem

IEEE International Conference on Data Engineering (ICDE, CCF-A), 2024

Authors: Wenzhe Hou, Xiang Zhao, Bo Tang

QSRP: Efficient Reverse k -Ranks Query Processing on High-dimensional Embeddings

IEEE International Conference on Data Engineering (ICDE, CCF-A), 2024

Authors: Bian Zheng, Xiao Yan, Jiahao Zhang, Man Lung Yiu, Bo Tang

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Fair Top-k Query on Alpha-Fairness

IEEE International Conference on Data Engineering (ICDE, CCF-A), 2024

Authors: Hao Liu, Zheng Zhang, Raymond Chi-Wing Wong, Min Xie, Bo Tang

Information Diffusion Meets Invitation Mechanism

International World Wide Web Conference (WWW, CCF-A), 2024

Authors: Shiqi Zhang, Jiachen Sun, Wenqing Lin, Xiaokui Xiao, Yiqian Huang, Bo Tang

Debiasing Recommendation with Personal Popularity

International World Wide Web Conference (WWW, CCF-A), 2024

Authors: Wentao Ning, Reynold Cheng, Xiao Yan, Ben Kao, Nan Huo, Nur Al Hasan Haldar, Bo Tang

The Design of a Lossless Deduplication Scheme to Eliminate Fine-grained Redundancy for JPEG Image Storage Systems.

IEEE Transactions on Computers (TOC, CCF-A), 2024

Authors: Cai Deng, Xiangyu Zou, Qi Chen, Bo Tang, Wen Xia.

CheetahTraj: Efficient Visualization for Large Trajectory Dataset with Quality Guarantee.

IEEE Transactions on Knowledge and Data Engineering (TKDE, CCF-A), 2024

Authors: Qiaomu Shen, Chaozu Zhang, Xiao Yan, Chuan Yang, Dan Zeng, Wei Zeng, Bo Tang.

2023

CDSBen: Benchmarking the Performance of Storage Services in Cloud-native Database System at ByteDance.

Proceedings of the VLDB Endowment (PVLDB, CCF-A), 2023

Authors: Jiashu Zhang, Wen Jiang, Bo Tang, H. Ma, L. Cao, Z. Jiang, Y. Nie, F. Wang, L. Zhang, Y. Liang.

Speeding Up End-to-end Query Execution via Learning-based Progressive Cardinality Estimation.

Proceedings of the ACM on Management of Data (SIGMOD, CCF-A), 2023

Authors: Fang Wang, Xiao Yan, Man Lung Yiu, Shuai Li, Zunyao Mao, Bo Tang.

EAR-Oracle: On Efficient Indexing for Distance Queries between Arbitrary Points on Terrain Surface.

Proceedings of the ACM on Management of Data (SIGMOD, CCF-A), 2023

Authors: Bo Huang, Victor Junqiu Wei, Raymond Chi-Wing Wong, Bo Tang.

Effective and Efficient PageRank-based Positioning for Graph Visualization

Proceedings of the ACM on Management of Data (SIGMOD, CCF-A), 2023

Authors: Shiqi Zhang, Renchi Yang, Xiaokui Xiao, Xiao Yan, Bo Tang.

QEVIS: Multi-grained Visualizing of Distributed Query Execution.

IEEE Transactions on Visualization and Computer Graphics (TVCG, CCF-A), 2023

Authors: Qiaomu Shen, Zhengxin You, Xiao Yan, Chaozu Zhang, Ke Xu, Jianbin Qin, Dan Zeng, Bo Tang.

Towards Building The Next Generation Computation Engine

Proceedings of the ACM Turing Award Celebration Conference-China (TURC, CCF-A), 2023

Authors: Bo Tang

Quantifying the Competitiveness of a Dataset in Relation to General Preferences

The VLDB Journal (VLDBJ, CCF-A), 2023

Authors: Kyriakos Mouratidis, Keming Li, Bo Tang.

Capacity Constrained Influence Maximization in Social Networks.

ACM International Conference on Knowledge Discovery and Data Mining (KDD, CCF-A), 2023

Authors: Shiqi Zhang, Yiqian Huang, Jiachen Sun, Wenqing Lin, Xiaokui Xiao, Bo Tang.

Efficient Approximation Algorithms for Spanning Centrality

ACM International Conference on Knowledge Discovery and Data Mining (KDD, CCF-A), 2023

Authors: Shiqi Zhang, Renchi Yang, Jing Tang, Xiaokui Xiao, Bo Tang.

DGI: An Easy and Efficient Framework for GNN Model Evaluation

ACM International Conference on Knowledge Discovery and Data Mining (KDD, CCF-A), 2023

Authors: Peiqi Yin, Xiao Yan, Jinjing Zhou, Qiang Fu, Zhenkun Cai, James Cheng, Bo Tang, Minjie Wang.

EEPH: An Efficient Extendible Perfect Hashing for Hybrid PMem-DRAM.

IEEE International Conference on Data Engineering (ICDE, CCF-A), 2023

Authors: Qi Chen, Hao Hu, Cai Deng, Dingbang Liu, Shiyi Li, Bo Tang, Ting Yao, Wen Xia.

DHive: Query Execution Performance Analysis via Dataflow in Apache Hive.

Proceedings of the VLDB Endowment (PVLDB, CCF-A), 2023

Authors: Chaozu Zhang, Qiaomu Shen, Bo Tang

Analyzing and Combating Attribute Bias for Face Restoration

International Joint Conference on Artificial Intelligence (IJCAI, CCF-A), 2023

Authors: Zelin Li, Dan Zeng, Xiao Yan, Qiaomu Shen, Bo Tang.

Extracting Top-k Frequent and Diversified Patterns in Knowledge Graphs

IEEE Transactions on Knowledge and Data Engineering (TKDE, CCF-A), 2023

Authors: Jian Zeng, Leong Hou U, Xiao Yan, Yan Li, Mingji Han, Bo Tang.

Data-Scarce Animal Face Alignment via Bi-Directional Cross-Species Knowledge Transfer.

Proceedings of ACM International Conference on Multimedia (ACM MM, CCF-A), 2023

Authors: Dan Zeng, Shanchuan Hong, Shuiwang Li, Qiaomu Shen, Bo Tang.

Multi-domain Recommendation with Embedding Disentangling and Domain Alignment.

Proceedings of the ACM International Conference on Information and Knowledge Management (CIKM, CCF-B), 2023

Authors: Wentao Ning, Xiao Yan, W. Liu, Reynold Cheng, R. Zhang, Bo Tang.

向量数据库:关键技术、系统架构与未来挑战

CCCF (), 2023

Authors: 唐博, 秦建斌, 毛睿.

时间敏感网络下的一种新型灵活门控机制

计算机工程与科学 (计算机工程与科学, ), 2023

Authors: 林佳烁, 李伟超, 成剑, 詹双平, 冯景斌, 王涛, 黄倩怡, 唐博, 汪漪.

2022

𝜏-LevelIndex: Towards Efficient Query Processing in Continuous Preference Space.

Proceedings of the ACM on Management of Data (SIGMOD, CCF-A), 2022

Authors: Jiahao Zhang, Bo Tang, Man Lung Yiu, Xiao Yan, Keming Li*.

Spatial Data Quality in the IoT Era: Management and Exploitation.

Proceedings of the ACM on Management of Data (SIGMOD, CCF-A), 2022

Authors: Huan Li, Bo Tang , Hua Lu, Christian S. Jensen, Muhammad Aamir Cheema.

GHive: A Demonstration of GPU-Accelerated Query Processing in Apache Hive.

Proceedings of the ACM on Management of Data (SIGMOD, CCF-A), 2022

Authors: 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.

Efficient and Error-bounded Spatiotemporal Quantile Monitoring in Edge Computing Environments.

Proceedings of the VLDB Endowment (PVLDB, CCF-A), 2022

Authors: Huan Li, Lanjing Yi, Bo Tang, Hua Lu, Christian Jensen.

Manu: A Cloud Native Vector Database Management System.

Proceedings of the VLDB Endowment (PVLDB, CCF-A), 2022

Authors: R. Guo, Long Xiang, X. Luan, Xiao Yan, X. Yi, J. Luo, Q. Cheng, W. Xu, Jiarui Luo, F. Liu, Z. Cao, Y. Qiao, T. Wang, Bo Tang, C. Xie.

Constructing Compact Time Series Index for Efficient Window Query Processing.

IEEE International Conference on Data Engineering (ICDE, CCF-A), 2022

Authors: Jing Zhao, Peng Wang, Bo Tang, Lu Liu, Chen Wang, Wei Wang, Jianmin Wang.

imDedup: a Lossless Deduplication Scheme to Eliminate Fine-grained Redundancy among Images.

IEEE International Conference on Data Engineering (ICDE, CCF-A), 2022

Authors: Cai Deng, Qi Chen, Xiangyu Zou, Eric Xu, Bo Tang, Wen Xia.

CheetahKG: A Demonstration for Core-based Top-k Frequent Pattern Discovery on Knowledge Graphs.

IEEE International Conference on Data Engineering (ICDE, CCF-A), 2022

Authors: Bo Tang, Zeng Jian, Qiandong Tang, Chuan Yang, Qiaomu Shen, Leong Hou U, Xiao Yan, Dan Zeng

Fast Error-Bounded Distance Distribution Computation(Extended Abstract).

IEEE International Conference on Data Engineering (ICDE, CCF-A), 2022

Authors: Jiahao Zhang, Man Lung Yiu, Bo Tang, Qing Li.

Face2Exp: Combating Data Biases for Facial Expression Recognition .

IEEE Conference on Computer Vision and Pattern Recognition (CVPR, CCF-A), 2022

Authors: Dan Zeng, Z. Lin, Xiao Yan, Fei Wang, Bo Tang.

Spatial Data Quality in the Internet of Things: Management, Exploitation, and Prospects.

ACM Computing Surveys, 55, 3, Article 57 (February 2022). (ACM Computing Surveys, CCF-A), 2022

Authors: Huan Li, Hua Lu, Christian S. Jensen, Bo Tang, Muhammad Aamir Cheema.

GHive: Accelerating Analytical Query Processing in Apache Hive via CPU-GPU Heterogeneous Computing .

Proceedings of Symposium on Cloud Computing (SoCC, CCF-B), 2022

Authors: 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.

Measuring Friendship Closeness: A Perspective of Social Identity Theory.

Proceedings of the ACM International Conference on Information and Knowledge Management (CIKM, CCF-B), 2022

Authors: Shiqi Zhang, Jiachen Sun, Wenqing Lin, Xiaokui Xiao, Bo Tang.

Automatic Meta-Path Discovery for Effective Graph-Based Recommendation.

Proceedings of the ACM International Conference on Information and Knowledge Management (CIKM, CCF-B), 2022

Authors: Wentao Ning, Reynold Cheng, Jiajun Shen, Nur Al Hasan Haldar, Ben Kao, Xiao Yan, Nan Huo, Tian Li, Wai Kit Lam, Bo Tang.

Rethinking the Use of Network Cycle in Time-Sensitive Networking (TSN) Flow Scheduling.

IFIP International Workshop on QoS (IWQoS, CCF-B), 2022

Authors: Jiashuo Lin, Weichao Li, Xingbo Feng, Shuangping Zhan, Jingbin Feng, Jian Cheng, Tao Wang, Qing Li, Yi Wang, Fuliang Li, Bo Tang.

2021

On m-Impact Regions and Standing Top-k Influence Problems.

Proceedings of the ACM on Management of Data (SIGMOD, CCF-A), 2021

Authors: Bo Tang, Kyriakos Mouratidis, Mingji Han.

Marrying Top-k with Skyline Queries: Relaxing the Preference Input while Producing Output of Controllable Size .

Proceedings of the ACM on Management of Data (SIGMOD, CCF-A), 2021

Authors: Kyriakos Mouratidis, Keming Li, Bo Tang.

Vertex-Centric Visual Programming for Graph Neural Networks.

Proceedings of the ACM on Management of Data (SIGMOD, CCF-A), 2021

Authors: Yidi Wu, Yuntao Gui, Tatiana Jin, James Cheng, Xiao Yan, Peiqi Yin, Yufei Cai, Bo Tang, Fan Yu.

Fast Error-Bounded Distance Distribution Computation .

IEEE Transactions on Knowledge and Data Engineering (TKDE, CCF-A), 2021

Authors: Jiahao Zhang, Man Lung Yiu, Bo Tang, Qing Li.

GAIPS: Accelerating Maximum Inner Product Search with GPU.

ACM International Conference on Research and Development in Information Retrieval (SIGIR, CCF-A), 2021

Authors: Long Xiang, Xiao Yan, Lan Lu, Bo Tang.

Fast Core-based Top-k Frequent Pattern Discovery in Knowledge Graphs.

IEEE International Conference on Data Engineering (ICDE, CCF-A), 2021

Authors: Jian Zeng, Leong Hou U, Xiao Yan, Mingji Han, Bo Tang.

Towards Efficient MaxBRNN Computation for Streaming Updates .

IEEE International Conference on Data Engineering (ICDE, CCF-A), 2021

Authors: Wentao Ning, Xiao Yan, Bo Tang.

GRAB: Finding Time Series Natural Structures via A Novel Graph-Based Scheme .

IEEE International Conference on Data Engineering (ICDE, CCF-A), 2021

Authors: Yi Lu, Peng Wang, Bo Tang, Shen Liang, Chen Wang, Wei Wang, Jianmin Wang.

On Discovering Motifs and Frequent Patterns in Spatial Trajectories with Discrete Frechet Distance.

GeoInformatica (GeoInformatica , CCF-B), 2021

Authors: Bo Tang, Man Lung Yiu, Kyriakos Mouratidis, Jiahao Zhang, Kai Wang.

RCELF: A Residual-based Approach for Influence Maximization Problem.

Information Systems (Inform Systems, None), 2021

Authors: Shiqi Zhang, Xinxun Zeng, Bo Tang.

Drug repurposing for the treatment of COVID-19: a knowledge graph approach.

Advanced Therapeutics (Advanced Therapeutics, None), 2021

Authors: Vincent K. C. Yan, Xiaodong Li, Xuxiao Ye, Min Ou, Ruibang Luo, Qingpeng Zhang, Bo Tang, Benjamin J. Cowling, Ivan Hung, Chung Wah Siu, Ian C. K. Wong, Reynold C. K. Cheng, Esther W. Chan.

Effective and Efficient Summarization for Non-hierarchical Data

Ivannikov Ispras Open Conference (ISPRAS) (ISPRAS, None), 2021

Authors: Xiang Ji, Xiao Yan, Kaijun Ren, Xiang Wang, Bo Tang

2020

CheetahVIS: A Visual Analytical System for Large Urban Bus Data.

Proceedings of the VLDB Endowment (PVLDB, CCF-A), 2020

Authors: Wentao Ning,Qiandong Tang, Yi Zhao, Chuan Yang, Xiaofeng Wang, Teng Wang, Haotian Liu, Chaozu Zhang, Zhiyuan Zhou, Qiaomu Shen, Bo Tang.

Draft and Edit: Automatic Storytelling Through Multi-Pass Hierarchical Conditional Variational Autoencoder .

Proceedings of the AAAI Conference on Artificial Intelligence (AAAI, CCF-A), 2020

Authors: Meng-Hsuan Yu, Juntao Li, Danyang Liu, Bo Tang, Haisong Zhang, Dongyan Zhao, Rui Yan.

Towards Self-Tuning Parameter Servers

IEEE International Conference on Big Data (IEEE BigData, CCF-C), 2020

Authors: Chris Liu, Pengfei Zhang, Bo Tang, Hang Shen, Ziliang Lai, Eric Lo, Korris Chung.

CheetahER: A Fast Entity Resolution System for Heterogeneous Camera Data .

SIGMOD2020 Programming Contest Finalist Paper (DI2KG, ), 2020

Authors: Nan Deng, Wendi Luan, Haotian Liu, Bo Tang

2019

Creating Top Ranking Options in the Continuous Option and Preference Space.

Proceedings of the VLDB Endowment (PVLDB, CCF-A), 2019

Authors: Bo Tang, Kyriakos Mouratidis, Man Lung Yiu, Zhenyu Chen.

Accelerating Exact Inner Product Retrieval by CPU-GPU System.

Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR, CCF-A), 2019

Authors: Long Xiang, Bo Tang, Chuan Yang

Vaite: a Visualization-Assisted Interactive Big Urban Trajectory Data Exploration System.

International Conference on Data Engineering (ICDE, CCF-A), 2019

Authors: Chuang Yang, Yilan Zhang, Bo Tang, Min Zhu.

Insufficient Data Can Also Rock!Learning to Converse Using Smaller Data with Augmentation.

Proceedings of the AAAI Conference on Artificial Intelligence (AAAI, CCF-A), 2019

Authors: Juntao Li, Lisong Qiu, Bo Tang, Dongmin Chen, Dongyan Zhao, Rui Yan.

Find a Reasonable Ending for Stories: Does Logic Relation Help the Story Cloze Test?

Proceedings of the AAAI Conference on Artificial Intelligence (AAAI, CCF-A), 2019

Authors: Mingyue Shang, Zhenxin Fu, Hongzhi Yin, Bo Tang, Dongyan Zhao and Rui Yan.

Fast Trajectory Range Query with Discrete Frechet Distance.

Advances in Database Technology (EDBT, CCF-B), 2019

Authors: Jiahao Zhang, Bo Tang, Man Lung Yiu.

Mining Heterogeneous Urban Data for Retail Store Placement .

Proceedings of the ACM Turing Celebration Conference-China (SIGMOD China, ), 2019

Authors: Jian Zeng, Bo Tang.

2018

Exact Processing of Uncertain Top-k Queries in Multi-criteria Settings.

Proceedings of the VLDB Endowment (PVLDB, CCF-A), 2018

Authors: Kyriakos Mouratidis, Bo Tang.

Deriving Real-time City Crowd Flows by Heterogeneous Big Urban Data.

IEEE International Conference on Big Data (IEEE BigData, CCF-C), 2018

Authors: Bo Tang, Chuan Yang, Long Xiang, Jian Zeng.

Efficient Longest Streak Discovery in Multidimensional Sequence Data .

Web and Big Data: Second International Joint Conference (APWeb-WAIM, CCF-C), 2018

Authors: Wentao Wang, Bo Tang, Min Zhu.

Joint Face Alignment and 3D Face Reconstruction with Application to Face Recognition

IEEE transactions on pattern analysis and machine intelligence (PAMI, ), 2018

Authors: F Liu, Q Zhao, X Liu, D Zeng

A Five-layer Architecture for Big Data Processing and Analytics.

international Journal of big Data intelligence (IJBDI, ), 2018

Authors: Julie Yixuan Zhu, Bo Tang, Victor Li.

2017

Determining the Impact Regions of Competing Options in Preference Space.

Proceedings of the ACM on Management of Data (SIGMOD, CCF-A), 2017

Authors: Bo Tang, Kyriakos Mouratidis, Man Lung Yiu.

Extracting Top-K Insights from Multi-dimensional Data.

Proceedings of the ACM on Management of Data (SIGMOD, CCF-A), 2017

Authors: Bo Tang, Shi Han, Man Lung Yiu, Rui Ding, Dongmei Zhang.

Efficient Motif Discovery in Spatial Trajectories Using Discrete Fréchet Distance.

Extending Database Technology (EDBT, CCF-B), 2017

Authors: Bo Tang, Man Lung Yiu, Kyriakos Mouratidis, Kai Wang.

Fast Subsequence Search on Time Series Data.

Extending Database Technology (EDBT, CCF-B), 2017

Authors: Bo Tang#, Yuhong Li#, Leong Hou U, Man Lung Yiu, Zhiguo Gong.

2016

Exploit Every Cycle: Vectorized Time Series Algorithms on Modern Commodity CPUs.

Data Management on New Hardware (ADMS, CCF-A), 2016

Authors: Bo Tang, Man Lung Yiu, Yuhong Li, Leong Hou U.

Exploit Every Bit: Effective Caching for High-Dimensional Nearest Neighbor Search.

IEEE Transactions on Knowledge and Data Engineering (TKDE, CCF-A), 2016

Authors: Bo Tang, Man Lung Yiu, Kien A Hua.

2015

Diversified caching for replicated web search engines.

International Conference on Data Engineering (ICDE, CCF-A), 2015

Authors: Chuanfei Xu, Bo Tang, Man Lung Yiu.

Book: Handbook of Operating System Course Projects (in Chinese: 操作系统课程设计).

China Machine Press (机械工业出版社) (CMP, None), 2015

Authors: Bo Tang, Qiaomu Shen, et.al.,