By Professor Wenjie Zhang

Preprints

He Y; Wang K; Zhang W; Lin X; Zhang Y, 2025, Common Neighborhood Estimation over Bipartite Graphs under Local Differential Privacy, http://dx.doi.org/10.48550/arxiv.2502.01904

Xie T; Wan Y; Liu Y; Zeng Y; Wang S; Zhang W; Grazian C; Kit C; Ouyang W; Zhou D; Hoex B, 2024, DARWIN 1.5: Large Language Models as Materials Science Adapted Learners, http://dx.doi.org/10.48550/arxiv.2412.11970

Xie T; Zhang H; Wang S; Wan Y; Razzak I; Kit C; Zhang W; Hoex B, 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

Wan Y; Xie T; Wu N; Zhang W; Kit C; Hoex B, 2024, From Tokens to Materials: Leveraging Language Models for Scientific Discovery, http://dx.doi.org/10.48550/arxiv.2410.16165

Yu J; Wang H; Chen C; Wang X; Qin L; Zhang W; Zhang Y; Liu X, 2024, RIDA: A Robust Attack Framework on Incomplete Graphs, http://dx.doi.org/10.48550/arxiv.2407.18170

Li C; Ni W; Ding M; Qu Y; Chen J; Smith D; Zhang W; Rakotoarivelo T, 2024, Decentralized Privacy Preservation for Critical Connections in Graphs, http://dx.doi.org/10.48550/arxiv.2405.11713

Wan Y; Liu Y; Ajith A; Grazian C; Hoex B; Zhang W; Kit C; Xie T; Foster I, 2024, SciQAG: A Framework for Auto-Generated Science Question Answering Dataset with Fine-grained Evaluation, http://dx.doi.org/10.48550/arxiv.2405.09939

Sima Q; Yu J; Wang X; Zhang W; Zhang Y; Lin X, 2024, Deep Overlapping Community Search via Subspace Embedding, http://dx.doi.org/10.48550/arxiv.2404.14692

Ye Y; Ren J; Wang S; Wan Y; Razzak I; Hoex B; Wang H; Xie T; Zhang W, 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

Su G; Wang H; Zhang Y; Coster ACF; Wilkins MR; Canete PF; Yu D; Yang Y; Zhang W, 2024, Inferring gene regulatory networks by hypergraph variational autoencoder, http://dx.doi.org/10.1101/2024.04.01.586509

Yuan L; Hao K; Lin X; Zhang W, 2023, Batch Hop-Constrained s-t Simple Path Query Processing in Large Graphs, http://dx.doi.org/10.48550/arxiv.2312.01424

Xie T; Wan Y; Huang W; Yin Z; Liu Y; Wang S; Linghu Q; Kit C; Grazian C; Zhang W; Razzak I; Hoex B, 2023, DARWIN Series: Domain Specific Large Language Models for Natural Science, http://dx.doi.org/10.48550/arxiv.2308.13565

Jin J; Cheng P; Chen L; Lin X; Zhang W, 2023, Efficient Non-Learning Similar Subtrajectory Search, http://dx.doi.org/10.48550/arxiv.2307.10082

Xie T; Wan Y; Huang W; Zhou Y; Liu Y; Linghu Q; Wang S; Kit C; Grazian C; Zhang W; Hoex B, 2023, Large Language Models as Master Key: Unlocking the Secrets of Materials Science with GPT, http://dx.doi.org/10.48550/arxiv.2304.02213

Yang Z; Zhang W; Lin X; Zhang Y; Li S, 2023, HGMatch: A Match-by-Hyperedge Approach for Subgraph Matching on Hypergraphs, http://arxiv.org/abs/2302.06119v2

Sun Q; Zhang W; Lin X, 2022, Progressive Hard Negative Masking: From Global Uniformity to Local Tolerance, http://dx.doi.org/10.36227/techrxiv.21203096

Sun Q; Zhang W; Lin X, 2022, Progressive Hard Negative Masking: From Global Uniformity to Local Tolerance, http://dx.doi.org/10.36227/techrxiv.21203096.v1

Luo L; Fang Y; Lu M; Cao X; Zhang X; Zhang W, 2022, GSim: A Graph Neural Network based Relevance Measure for Heterogeneous Graphs, http://dx.doi.org/10.48550/arxiv.2208.06144

Chen Z; Yuan L; Lin X; Qin L; Zhang W, 2022, Balanced Clique Computation in Signed Networks: Concepts and Algorithms, http://dx.doi.org/10.48550/arxiv.2204.00515

Linghu Q; Zhang F; Lin X; Zhang W; Zhang Y, 2021, Towards User Engagement Dynamics in Social Networks, http://dx.doi.org/10.48550/arxiv.2110.12193

Luo L; Fang Y; Cao X; Zhang X; Zhang W, 2021, Detecting Communities from Heterogeneous Graphs: A Context Path-based Graph Neural Network Model, http://dx.doi.org/10.48550/arxiv.2109.02058

Yang Z; Lai L; Lin X; Hao K; Zhang W, 2021, HUGE: An Efficient and Scalable Subgraph Enumeration System, http://arxiv.org/abs/2103.14294v2

Chen X; Huang C; Yao L; Wang X; Liu W; Zhang W, 2020, Knowledge-guided Deep Reinforcement Learning for Interactive Recommendation, http://dx.doi.org/10.48550/arxiv.2004.08068

Lai L; Qing Z; Yang Z; Jin X; Lai Z; Wang R; Hao K; Lin X; Qin L; Zhang W; Zhang Y; Qian Z; Zhou J, 2019, A Survey and Experimental Analysis of Distributed Subgraph Matching, http://dx.doi.org/10.48550/arxiv.1906.11518

Wang Y; Lin X; Wu L; Zhang W, 2017, Effective Multi-Query Expansions: Collaborative Deep Networks for Robust Landmark Retrieval, http://dx.doi.org/10.48550/arxiv.1701.05003

Ukey N; Zhang G; Yang Z; Li B; Li W; Zhang W, Efficient Continuous kNN Join over Dynamic High-dimensional Data [v1], http://dx.doi.org/10.21203/rs.3.rs-2572561/v1

Ukey N; Zhang G; Yang Z; Li B; Li W; Zhang W, Efficient Continuous kNN Join over Dynamic High-dimensional Data [v2], http://dx.doi.org/10.21203/rs.3.rs-2572561/v2

Ukey N; Zhang G; Yang Z; Li B; Li W; Zhang W, Efficient Continuous kNN Join over Dynamic High-dimensional Data [v3], http://dx.doi.org/10.21203/rs.3.rs-2572561/v3

Ukey N; Zhang G; Yang Z; Li B; Li W; Zhang W, Efficient Continuous kNN Join over Dynamic High-dimensional Data [v4], http://dx.doi.org/10.21203/rs.3.rs-2572561/v4

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