By Mr Yang Zhang

Conference Papers

Zhang H; Li R; Liang Z; Sattari M; Vo P; Qu C; Xiao T; Ding J; Zhang Y; Chen H, 2026, 'AdaQE-CG: Adaptive Query Expansion for Web-Scale Generative AI Model and Data Card Generation', in Www 2026 Proceedings of the ACM Web Conference 2026, pp. 4360 - 4371, http://dx.doi.org/10.1145/3774904.3792685

Xie J; Qi L; Liu W; Wang A; Xu X; Xiang H; Zhang X; Gong W; Zhang Y; Beheshti A; Dou W, 2026, 'Joint Similar User Exploration and Informative Behavior Guidance for Multi-Modal New Item Recommendation', in Www 2026 Proceedings of the ACM Web Conference 2026, pp. 6218 - 6229, http://dx.doi.org/10.1145/3774904.3792302

Liu Y; Qi L; Mao X; Liu W; Fan X; Ni Q; Zhang X; Zhang Y; Tian Y; Beheshti A, 2026, 'Hyperbolic-Enhanced Mixture-of-Experts Mamba for Sequential Recommendation', in Proceedings of the Aaai Conference on Artificial Intelligence, pp. 15403 - 15411, http://dx.doi.org/10.1609/aaai.v40i18.38567

Li H; Qi L; Liu W; Wang F; Li C; Pang S; Gong W; Xu Y; Chi X; Zhang Y; Zhou X, 2026, 'Subspace-Aware Graph Construction and Contrastive Alignment for Multimodal Recommendation with Large Language Models', in Proceedings of the Aaai Conference on Artificial Intelligence, pp. 15099 - 15107, http://dx.doi.org/10.1609/aaai.v40i18.38533

Zhang D; Qi L; Liu Y; Zhou X; Xie J; Xiang H; Xu X; Zhang X; Cao Y; Zhang Y, 2025, 'HRCformer: Hierarchical Recursive Convolution-Transformer with Multi-Scale Adaptive Recalibration for Time Series Forecasting', in Cikm 2025 Proceedings of the 34th ACM International Conference on Information and Knowledge Management, pp. 4076 - 4085, http://dx.doi.org/10.1145/3746252.3761308

Yuan H; Zhang Y; Sheng QZ; Yao L; Zhou Y; He X; Wang Z, 2025, 'PKGRec: Personal Knowledge Graph Construction and Mining for Federated Recommendation Enhancement', in Cikm 2025 Proceedings of the 34th ACM International Conference on Information and Knowledge Management, pp. 3973 - 3982, http://dx.doi.org/10.1145/3746252.3761301

Zhao C; Zhou Y; Zhang S; Sheng QZ; Zhang Y; Wen S, 2025, 'ExClique: An Express Consensus Algorithm for High-Speed Transaction Process in Blockchains', in Proceedings IEEE INFOCOM, http://dx.doi.org/10.1109/INFOCOM55648.2025.11044465

Zhang Z; Zhang Y; Sheng QZ; Wu J; Zhou Y, 2025, 'From Dispersed Records to Structured Knowledge: A Graph-based Knowledge Modeling Framework for Archival Resources', in Proceedings of the IEEE International Conference on Web Services Icws, pp. 1053 - 1063, http://dx.doi.org/10.1109/ICWS67624.2025.00137

Li C; Qi X; Yuan X; Wu K; Zhang Y; Ni W; Liu RP; Sheng QZ, 2025, 'USFCF: Unified State-Space Feedback Control Framework for Robust Privacy-Conscious Federated Learning in Vehicular Service Networks', in Proceedings of the IEEE International Conference on Web Services Icws, pp. 399 - 403, http://dx.doi.org/10.1109/ICWS67624.2025.00056

Zhou X; Liu Y; Qi L; Xu X; Dou W; Zhang X; Zhang Y; Zhou X, 2024, 'GLFNet: Global and Local Frequency-domain Network for Long-term Time Series Forecasting', in International Conference on Information and Knowledge Management Proceedings, pp. 3527 - 3536, http://dx.doi.org/10.1145/3627673.3679579

Zhang Z; Zhang Y; Sheng QZ; Mahmood A; Feng Y; Wang X; Zhou Y, 2024, 'Multimodal Archival Data Ecosystems', in Proceedings of the IEEE International Conference on Web Services Icws, pp. 73 - 83, http://dx.doi.org/10.1109/ICWS62655.2024.00026

Haghighi V; Soltani B; Shabani N; Wu J; Zhang Y; Yao L; Sheng QZ; Yang J, 2024, 'TROPICAL: Transformer-Based Hypergraph Learning for Camouflaged Fraudster Detection', in Proceedings IEEE International Conference on Data Mining Icdm, pp. 121 - 130, http://dx.doi.org/10.1109/ICDM59182.2024.00019

Zhang Y; Wang Y; Sheng QZ; Mahmood A; Zhang WE; Zhao R, 2023, 'Hybrid Data Augmentation for Citation Function Classification', in Proceedings of the International Joint Conference on Neural Networks, http://dx.doi.org/10.1109/IJCNN54540.2023.10191695

Zhang Y; Wang Y; Sheng QZ; Mahmood A; Emma Zhang W; Zhao R, 2021, 'TDM-CFC: Towards Document-Level Multi-label Citation Function Classification', in Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, pp. 363 - 376, http://dx.doi.org/10.1007/978-3-030-91560-5_26

Zhao R; Wei X; Zhang Y, 2017, 'Measuring model of collaboration ability: The collaborative rate, collaborative breadth and collaborative depth', in Issi 2017 16th International Conference on Scientometrics and Informetrics Conference Proceedings, pp. 656 - 667

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