Querying Shortest Path Distance with Bounded Errors in Large Graphs. - Miao Qiao; Hong Cheng 001; Jeffrey Xu Yu (SSDBM, 2011)

The exact distance to destination in undirected world. - Lijun Chang; Jeffrey Xu Yu; Lu Qin 001; Hong Cheng 001; Miao Qiao (VLDB J., 2012)

Top-K Nearest Keyword Search on Large Graphs. - Miao Qiao; Lu Qin 001; Hong Cheng 001; Jeffrey Xu Yu; Wentao Tian (Proc. VLDB Endow., 2013)

Computing weight constraint reachability in large networks. - Miao Qiao; Hong Cheng 001; Lu Qin 001; Jeffrey Xu Yu; Philip S. Yu; Lijun Chang (VLDB J., 2013)

Query processing in large-scale networks. - Miao Qiao (2013)

Independent range sampling. - Xiaocheng Hu; Miao Qiao; Yufei Tao 001 (PODS, 2014)

Approximate Shortest Distance Computing: A Query-Dependent Local Landmark Scheme. - Miao Qiao; Hong Cheng 001; Lijun Chang; Jeffrey Xu Yu (IEEE Trans. Knowl. Data Eng., 2014)

External Memory Stream Sampling. - Xiaocheng Hu; Miao Qiao; Yufei Tao 001 (PODS, 2015)

Join Dependency Testing, Loomis-Whitney Join, and Triangle Enumeration. - Xiaocheng Hu; Miao Qiao; Yufei Tao 001 (PODS, 2015)

Independent Range Sampling on a RAM. - Xiaocheng Hu; Miao Qiao; Yufei Tao 001 (IEEE Data Eng. Bull., 2015)

Range Thresholding on Streams. - Miao Qiao; Junhao Gan; Yufei Tao 001 (SIGMOD Conference, 2016)

I/O-efficient join dependency testing, Loomis-Whitney join, and triangle enumeration. - Xiaocheng Hu; Miao Qiao; Yufei Tao 001 (J. Comput. Syst. Sci., 2016)

Subgraph Matching: on Compression and Computation. - Miao Qiao; Hao Zhang 098; Hong Cheng 001 (Proc. VLDB Endow., 2017)

Stream sampling over windows with worst-case optimality and $$ ell $$ ℓ -overlap independence. - Yufei Tao 001; Xiaocheng Hu; Miao Qiao (VLDB J., 2017)

Exacting Eccentricity for Small-World Networks. - Wentao Li 001; Miao Qiao; Lu Qin 001; Ying Zhang 001; Lijun Chang; Xuemin Lin 001 (ICDE, 2018)

Scaling Distance Labeling on Small-World Networks. - Wentao Li 001; Miao Qiao; Lu Qin 001; Ying Zhang 001; Lijun Chang; Xuemin Lin 001 (SIGMOD Conference, 2019)

Eccentricities on small-world networks. - Wentao Li 001; Miao Qiao; Lu Qin 001; Ying Zhang 001; Lijun Chang; Xuemin Lin 001 (VLDB J., 2019)

Scaling Up Distance Labeling on Graphs with Core-Periphery Properties. - Wentao Li 001; Miao Qiao; Lu Qin 001; Ying Zhang 001; Lijun Chang; Xuemin Lin 001 (SIGMOD Conference, 2020)

Deconstruct Densest Subgraphs. - Lijun Chang; Miao Qiao (WWW, 2020)

Fast Distributed Complex Join Processing. - Hao Zhang 098; Miao Qiao; Jeffrey Xu Yu; Hong Cheng 001 (ICDE, 2021)

Two-Attribute Skew Free, Isolated CP Theorem, and Massively Parallel Joins. - Miao Qiao; Yufei Tao 001 (PODS, 2021)

Clustering Activation Networks. - Zijin Feng; Miao Qiao; Hong Cheng 001 (ICDE, 2022)

On Scalable Computation of Graph Eccentricities. - Wentao Li 001; Miao Qiao; Lu Qin 001; Lijun Chang; Ying Zhang 001; Xuemin Lin 001 (SIGMOD Conference, 2022)

Anchored Densest Subgraph. - Yizhou Dai; Miao Qiao; Lijun Chang (SIGMOD Conference, 2022)

Centralization Problem for Opinion Convergence in Decentralized Networks. - Yiping Liu; Jiamou Liu; Bakhadyr Khoussainov; Miao Qiao; Bo Yan (CoRR, 2022)

Data-Driven Network Neuroscience: On Data Collection and Benchmark. - David Tse Jung Huang; Sophi Shilpa Gururajapathy; Yiping Ke; Miao Qiao; Alan Wang; Haribalan Kumar; Yunhan Yang (CoRR, 2022)

Distance labeling: on parallelism, compression, and ordering. - Wentao Li 001; Miao Qiao; Lu Qin 001; Ying Zhang 001; Lijun Chang; Xuemin Lin 001 (VLDB J., 2022)

Centralization Problem for Opinion Convergence in Decentralized Networks. - Yiping Liu; Jiamou Liu; Bakh Khoussainov; Miao Qiao; Bo Yan; Mengxiao Zhang (ASONAM, 2023)

Data-Driven Network Neuroscience: On Data Collection and Benchmark. - Jiaxing Xu; Yunhan Yang; David Tse Jung Huang; Sophi Shilpa Gururajapathy; Yiping Ke; Miao Qiao; Alan Wang; Haribalan Kumar; Josh McGeown; Eryn Kwon (NeurIPS, 2023)

Modularity-based Hypergraph Clustering: Random Hypergraph Model, Hyperedge-cluster Relation, and Computation. - Zijin Feng; Miao Qiao; Hong Cheng 001 (Proc. ACM Manag. Data, 2023)

Contrasformer: A Brain Network Contrastive Transformer for Neurodegenerative Condition Identification. - Jiaxing Xu; Kai He 001; Mengcheng Lan; Qingtian Bian; Wei Li 231; Tieying Li; Yiping Ke; Miao Qiao (CIKM, 2024)

Scalable k-clique Densest Subgraph Search. - Xiaowei Ye; Miao Qiao; Ronghua Li; Qi Zhang 010; Guoren Wang (CoRR, 2024)

On Density-based Local Community Search. - Yizhou Dai; Miao Qiao; Rong-Hua Li (Proc. ACM Manag. Data, 2024)

SeRF: Segment Graph for Range-Filtering Approximate Nearest Neighbor Search. - Chaoji Zuo; Miao Qiao; Wenchao Zhou; Feifei Li 001; Dong Deng 001 (Proc. ACM Manag. Data, 2024)

Contrastive Graph Pooling for Explainable Classification of Brain Networks. - Jiaxing Xu; Qingtian Bian; Xinhang Li 001; Aihu Zhang; Yiping Ke; Miao Qiao; Wei Zhang 266; Wei Khang Jeremy Sim; Balázs Gulyás (IEEE Trans. Medical Imaging, 2024)

Corrections to "Contrastive Graph Pooling for Explainable Classification of Brain Networks". - Jiaxing Xu; Qingtian Bian; Xinhang Li 001; Aihu Zhang; Yiping Ke; Miao Qiao; Wei Zhang 266; Wei Khang Jeremy Sim; Balázs Gulyás (IEEE Trans. Medical Imaging, 2024)

Tag-Filtered Approximate Nearest Neighbor Search. - Jiarui Luo; Miao Qiao; Chaoji Zuo; Dong Deng 001 (ICDE, 2025)

On Graph Representation for Attributed Hypergraph Clustering. - Zijin Feng; Miao Qiao; Chengzhi Piao; Hong Cheng 001 (Proc. ACM Manag. Data, 2025)

α-GAN by Rényi Cross Entropy. - Ni Ding; Miao Qiao; Jiaxing Xu; Yiping Ke; Xiaoyu Zhang (CoRR, 2025)