Select Publications
Conference Papers
, 2009, 'Uncertain Location Based Range Aggregates in a Multi-dimensional Space', in Proceedings of the 25th International Conference on Data Engineering, IEEE Computer Society, USA, presented at 25th IEEE International Conference on Data Engineering ICDE 2009, Shanghai, China, 01 April 2009
, 2009, 'Probabilistic Skyline Operator over Sliding Windows', in Proceedings of the 25th International Conference on Data Engineering, IEEE Computer Society, USA, presented at International Conference on Data Engineering, Shanghai China, 29 March 2009 - 02 April 2009, http://dx.doi.org/10.1109/ICDE.2009.83
, 2008, 'Managing uncertain data: Probabilistic approaches', in 9th International Conference on Web-Age Information Management, WAIM 2008, Zhangjia jie, China, presented at 9th International Conference on Web-Age Information Management, WAIM 2008, Zhangjia jie, China, 20 July 2008 - 22 July 2008
, 2008, 'Ranking queries on uncertain data: a probabilistic threshold approach', in 2008 ACM SIGMOD international conference, Vancouver BC Canada, presented at ACM SIGMOD international conference on management of data, 2008, Vancouver BC Canada, 09 June 2008 - 12 June 2008
, 2008, 'Efficiently answering probabilistic threshold top-k queries on uncertain data', in 24th international conference on data engineering, Mexico, presented at IEEE 24th International Conference on Data Engineering, ICDE`08 2008, Mexico, 07 April 2008 - 12 April 2008
Conference Proceedings (Editor of)
Zhang W; Tung A; Zheng Z; Yang Z; Wang X; Guo H, (eds.), 2024, 'Web and Big Data - 8th International Joint Conference, APWeb-WAIM 2024, Jinhua, China, August 30 - September 1, 2024, Proceedings, Part I', presented at APWeb-WAIM 2024, 30 August 2024, http://dx.doi.org/10.1007/978-981-97-7232-2
Zhang W; Tung A; Zheng Z; Yang Z; Wang X; Guo H, (eds.), 2024, 'Web and Big Data - 8th International Joint Conference, APWeb-WAIM 2024, Jinhua, China, August 30 - September 1, 2024, Proceedings, Part II', presented at APWeb-WAIM 2024, 30 August 2024, http://dx.doi.org/10.1007/978-981-97-7235-3
Zhang W; Tung A; Zheng Z; Yang Z; Wang X; Guo H, (eds.), 2024, 'Web and Big Data - 8th International Joint Conference, APWeb-WAIM 2024, Jinhua, China, August 30 - September 1, 2024, Proceedings, Part III', presented at APWeb-WAIM 2024, 30 August 2024, http://dx.doi.org/10.1007/978-981-97-7238-4
Zhang W; Tung A; Zheng Z; Yang Z; Wang X; Guo H, (eds.), 2024, 'Web and Big Data - 8th International Joint Conference, APWeb-WAIM 2024, Jinhua, China, August 30 - September 1, 2024, Proceedings, Part IV', presented at APWeb-WAIM 2024, 30 August 2024, http://dx.doi.org/10.1007/978-981-97-7241-4
Zhang W; Tung A; Zheng Z; Yang Z; Wang X; Guo H, (eds.), 2024, 'Web and Big Data - 8th International Joint Conference, APWeb-WAIM 2024, Jinhua, China, August 30 - September 1, 2024, Proceedings, Part V', presented at APWeb-WAIM 2024, 30 August 2024, http://dx.doi.org/10.1007/978-981-97-7244-5
Conference Abstracts
, 2022, 'ScaleG: A Distributed Disk-based System for Vertex-centric Graph Processing (Extended Abstract)', in Proceedings International Conference on Data Engineering, Vol. 2022-May, pp. 1511 - 1512, http://dx.doi.org/10.1109/ICDE53745.2022.00132
Preprints
, 2025, Common Neighborhood Estimation over Bipartite Graphs under Local Differential Privacy, http://dx.doi.org/10.48550/arxiv.2502.01904
, 2024, DARWIN 1.5: Large Language Models as Materials Science Adapted Learners, http://dx.doi.org/10.48550/arxiv.2412.11970
, 2024, ByteScience: Bridging Unstructured Scientific Literature and Structured Data with Auto Fine-tuned Large Language Model in Token Granularity, http://dx.doi.org/10.48550/arxiv.2411.12000
, 2024, From Tokens to Materials: Leveraging Language Models for Scientific Discovery, http://dx.doi.org/10.48550/arxiv.2410.16165
, 2024, RIDA: A Robust Attack Framework on Incomplete Graphs, http://dx.doi.org/10.48550/arxiv.2407.18170
, 2024, Decentralized Privacy Preservation for Critical Connections in Graphs, http://dx.doi.org/10.48550/arxiv.2405.11713
, 2024, SciQAG: A Framework for Auto-Generated Science Question Answering Dataset with Fine-grained Evaluation, http://dx.doi.org/10.48550/arxiv.2405.09939
, 2024, Deep Overlapping Community Search via Subspace Embedding, http://dx.doi.org/10.48550/arxiv.2404.14692
, 2024, Construction and Application of Materials Knowledge Graph in Multidisciplinary Materials Science via Large Language Model, http://dx.doi.org/10.48550/arxiv.2404.03080
, 2024, Inferring gene regulatory networks by hypergraph variational autoencoder, http://dx.doi.org/10.1101/2024.04.01.586509
, 2023, Batch Hop-Constrained s-t Simple Path Query Processing in Large Graphs, http://dx.doi.org/10.48550/arxiv.2312.01424
, 2023, DARWIN Series: Domain Specific Large Language Models for Natural Science, http://dx.doi.org/10.48550/arxiv.2308.13565
, 2023, Efficient Non-Learning Similar Subtrajectory Search, http://dx.doi.org/10.48550/arxiv.2307.10082
, 2023, Large Language Models as Master Key: Unlocking the Secrets of Materials Science with GPT, http://dx.doi.org/10.48550/arxiv.2304.02213
, 2023, HGMatch: A Match-by-Hyperedge Approach for Subgraph Matching on Hypergraphs, http://arxiv.org/abs/2302.06119v2
, 2022, Progressive Hard Negative Masking: From Global Uniformity to Local Tolerance, http://dx.doi.org/10.36227/techrxiv.21203096
, 2022, Progressive Hard Negative Masking: From Global Uniformity to Local Tolerance, http://dx.doi.org/10.36227/techrxiv.21203096.v1
, 2022, GSim: A Graph Neural Network based Relevance Measure for Heterogeneous Graphs, http://dx.doi.org/10.48550/arxiv.2208.06144
, 2022, Balanced Clique Computation in Signed Networks: Concepts and Algorithms, http://dx.doi.org/10.48550/arxiv.2204.00515
, 2021, Towards User Engagement Dynamics in Social Networks, http://dx.doi.org/10.48550/arxiv.2110.12193
, 2021, Detecting Communities from Heterogeneous Graphs: A Context Path-based Graph Neural Network Model, http://dx.doi.org/10.48550/arxiv.2109.02058
, 2021, HUGE: An Efficient and Scalable Subgraph Enumeration System, http://arxiv.org/abs/2103.14294v2
, 2020, Knowledge-guided Deep Reinforcement Learning for Interactive Recommendation, http://dx.doi.org/10.48550/arxiv.2004.08068
, 2019, A Survey and Experimental Analysis of Distributed Subgraph Matching, http://dx.doi.org/10.48550/arxiv.1906.11518
, 2017, Effective Multi-Query Expansions: Collaborative Deep Networks for Robust Landmark Retrieval, http://dx.doi.org/10.48550/arxiv.1701.05003
, Efficient Continuous kNN Join over Dynamic High-dimensional Data [v1], http://dx.doi.org/10.21203/rs.3.rs-2572561/v1
, Efficient Continuous kNN Join over Dynamic High-dimensional Data [v2], http://dx.doi.org/10.21203/rs.3.rs-2572561/v2
, Efficient Continuous kNN Join over Dynamic High-dimensional Data [v3], http://dx.doi.org/10.21203/rs.3.rs-2572561/v3
, Efficient Continuous kNN Join over Dynamic High-dimensional Data [v4], http://dx.doi.org/10.21203/rs.3.rs-2572561/v4