Shixun Huang

According to our database, Shixun Huang authored at least 30 papers between 2018 and 2026.

Collaborative distances:

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

2026

LEARNT: A Practical Estimator for Cardinality of LIKE Queries with Formal Accuracy Guarantees.

Hai Lan, Zhifeng Bao, Divesh Srivastava, Shixun Huang, Yuwei Peng, Yang Yu

CoRR, May, 2026

Closing Trajectories: Equation-Free Cyclic Animation via Koopman Surrogates.

Shixun Huang, Siyuan Chen, Yue Chang, Zhecheng Wang, Peter Yichen Chen

CoRR, May, 2026

Unified Data Discovery across Query Modalities and User Intents.

Tingting Wang, Shixun Huang, Zhifeng Bao, J. Shane Culpepper, Shazia Sadiq, Volkan Dedeoglu, Reza Arablouei

CoRR, April, 2026

A Cross-graph Tuning-free GNN Prompting Framework.

Yaqi Chen, Shixun Huang, Ryan Twemlow, Lei Wang, John Le, Sheng Wang, Willy Susilo, Jun Yan, Jun Shen

CoRR, April, 2026

Budgeted spatial data acquisition: when coverage and connectivity matter.

Wenzhe Yang, Shixun Huang, Sheng Wang, Zhiyong Peng

Frontiers Comput. Sci., March, 2026

Shape-Agnostic Table Overlap Discovery: A Maximum Common Subhypergraph Approach.

Ge Lee, Shixun Huang, Zhifeng Bao, Felix Naumann, Shazia Sadiq, Yanchang Zhao

CoRR, March, 2026

Graph-centric Cross-model Data Integration and Analytics in a Unified Multi-model Database.

Zepeng Liu, Sheng Wang, Shixun Huang, Hailang Qiu, Yuwei Peng, Jiale Feng, Shunan Liao, Yushuai Ji, Zhiyong Peng

CoRR, March, 2026

2025

A Convex-Inspired Neural Construction for Structured and Generalizable Nonlinear Model Reduction.

Shixun Huang, Eitan Grinspun, Yue Chang

CoRR, November, 2025

Carbon Price Forecasting with Structural Breaks: A Comparative Study of Deep Learning Models.

Runsheng Ren, Jing Li, Yanxiu Li, Shixun Huang, Jun Shen, Wanqing Li, John Le, Sheng Wang

CoRR, November, 2025

Federated and Balanced Clustering for High-dimensional Data.

Yushuai Ji, Shengkun Zhu, Shixun Huang, Zepeng Liu, Sheng Wang, Zhiyong Peng

Proc. VLDB Endow., July, 2025

Distinctiveness Maximization in Datasets Assemblage.

Tingting Wang, Shixun Huang, Zhifeng Bao, J. Shane Culpepper, Volkan Dedeoglu, Reza Arablouei

Proceedings of the ACM on Web Conference 2025, 2025

Updatable Balanced Index for Stable Streaming Similarity Search Over Large-Scale Fresh Vectors.

Yuhui Lai, Shixun Huang, Sheng Wang

Proceedings of the IEEE International Conference on Big Data, 2025

2024

Representative Time Series Discovery for Data Exploration.

Ge Lee, Shixun Huang, Zhifeng Bao, Yanchang Zhao

Proc. VLDB Endow., November, 2024

Cardinality Estimation for Similarity Search on High-Dimensional Data Objects: The Impact of Reference Objects.

Hai Lan, Shixun Huang, Zhifeng Bao, Renata Borovica-Gajic

Proc. VLDB Endow., November, 2024

Optimizing Data Acquisition to Enhance Machine Learning Performance.

Tingting Wang, Shixun Huang, Zhifeng Bao, J. Shane Culpepper, Volkan Dedeoglu, Reza Arablouei

Proc. VLDB Endow., February, 2024

Optimized Edge Node Allocation Considering User Delay Tolerance for Cost Reduction.

Xiaoyu Zhang, Shixun Huang, Hai Dong, Zhifeng Bao, Jiajun Liu, Xun Yi

IEEE Trans. Serv. Comput., 2024

Budgeted Spatial Data Acquisition: When Coverage and Connectivity Matter.

Wenzhe Yang, Shixun Huang, Sheng Wang, Zhiyong Peng

CoRR, 2024

A Unified Approach for Multi-granularity Search over Spatial Datasets.

Wenzhe Yang, Sheng Wang, Shixun Huang, Yuyang Liao, Yuan Sun, Juliana Freire, Zhiyong Peng

CoRR, 2024

Advanced Dataset Discovery: When Multi-Query-Dataset Cardinality Estimation Matters.

Tingting Wang, Shixun Huang, Zhifeng Bao, J. Shane Culpepper, Reza Arablouei, Volkan Dedeoglu

CoRR, 2024

Cost-effective Data Labelling for Graph Neural Networks.

Shixun Huang, Ge Lee, Zhifeng Bao, Shirui Pan

Proceedings of the ACM on Web Conference 2024, 2024

2023

Managing Conflicting Interests of Stakeholders in Influencer Marketing.

Shixun Huang, Junhao Gan, Zhifeng Bao, Wenqing Lin

Proc. ACM Manag. Data, 2023

Shortest Paths Discovery in Uncertain Networks via Transfer Learning.

Shixun Huang, Zhifeng Bao

Proc. ACM Manag. Data, 2023

2022

Influence Maximization in Real-World Closed Social Networks.

Shixun Huang, Wenqing Lin, Zhifeng Bao, Jiachen Sun

Proc. VLDB Endow., 2022

Representative Routes Discovery from Massive Trajectories.

Tingting Wang, Shixun Huang, Zhifeng Bao, J. Shane Culpepper, Reza Arablouei

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2021

Edge Node Placement with Minimum Costs: When User Tolerance on Service Delay Matters.

Xiaoyu Zhang, Shixun Huang, Hai Dong, Zhifeng Bao

Proceedings of the Service-Oriented Computing - 19th International Conference, 2021

Towards Efficient Motif-based Graph Partitioning: An Adaptive Sampling Approach.

Shixun Huang, Yuchen Li, Zhifeng Bao, Zhao Li

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

2020

Temporal Network Representation Learning via Historical Neighborhoods Aggregation.

Shixun Huang, Zhifeng Bao, Guoliang Li, Yanghao Zhou, J. Shane Culpepper

Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

2019

Finding Temporal Influential Users Over Evolving Social Networks.

Shixun Huang, Zhifeng Bao, J. Shane Culpepper, Bang Zhang

Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

2018

A Unified Processing Paradigm for Interactive Location-based Web Search.

Sheng Wang, Zhifeng Bao, Shixun Huang, Rui Zhang

Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

A Linear-Time Algorithm for Finding Induced Planar Subgraphs.

Shixun Huang, Zhifeng Bao, J. Shane Culpepper, Ping Zhang, Bang Zhang

Proceedings of the 17th International Symposium on Experimental Algorithms, 2018