Boolean representation based data-adaptive correlation analysis over time series streams. - Tiancheng Zhang 001; Dejun Yue; Yu Gu 002; Ge Yu 001 (CIKM, 2007)

Correlation Analysis Based on Hierarchical Boolean Representation over Time Series Data Streams. - Tiancheng Zhang 001; Dejun Yue; Ge Yu 001; Yu Gu 002 (FSKD (2), 2007)

Research on Event Prediction Algorithm Based on Event Sequence Semantic. - Chuanfei Xu; Shukuan Lin; Jianzhong Qiao; Ge Yu 001; Tiancheng Zhang 001 (FSKD (5), 2009)

Effective Similarity Analysis over Event Streams Based on Sharing Extent. - Yanqiu Wang; Ge Yu 001; Tiancheng Zhang 001; Dejun Yue; Yu Gu 002; Xiaolong Hu (APWeb/WAIM, 2009)

Adaptive correlation analysis in stream time series with sliding windows. - Tiancheng Zhang 001; Dejun Yue; Yu Gu 002; Yi Wang; Ge Yu 001 (Comput. Math. Appl., 2009)

Efficient Similarity Query in RFID Trajectory Databases. - Yanqiu Wang; Ge Yu 001; Yu Gu 002; Dejun Yue; Tiancheng Zhang 001 (WAIM, 2010)

Efficient Keyword Search for SLCA in Parallel XML Databases. - Dejun Yue; Ge Yu 001; Jinshen Liu; Tiancheng Zhang 001; Tiezheng Nie; Fangfang Li 002 (WISA, 2011)

Study of an RFID Based Object-Relationship Recognition System. - Tiancheng Zhang 001; Xiaonan Yu; Dejun Yue; Yu Gu 002; Ge Yu 001 (CIS, 2012)

A Simulation Platform for RFID Application Deployment Supporting Multiple Scenarios. - Tiancheng Zhang 001; Yifang Yin; Dejun Yue; Qian Ma 003; Ge Yu 001 (CIS, 2012)

Algebra for Parallel XQuery Processing. - Haixu Miao; Tiezheng Nie; Dejun Yue; Tiancheng Zhang 001; Jinshen Liu (WAIM Workshops, 2012)

An Active Service Reselection Triggering Mechanism. - Ying Yin; Tiancheng Zhang 001; Bin Zhang 001; Gang Sheng; Yuhai Zhao; Ming Li (APWeb, 2013)

Research and Implementation of an RFID Simulation System Supporting Trajectory Analysis. - Tiancheng Zhang 001; Yifang Yin; Dejun Yue; Xirui Wang; Ge Yu 001 (J. Softw., 2014)

A Strategy of Inferring Containment Relationship Based on Multiple Readers' Three-State Model. - Tiancheng Zhang 001; Baojun Wang; Fan Kai; Chunliang Zhang (IEEE WISA, 2015)

A Friend Recommendation Algorithm Based on Multiple Factors in LBSNs. - Tiancheng Zhang 001; Wei Wang 011; Dejun Yue; Ge Yu 001 (IEEE WISA, 2015)

Energy-Efficient and Smoothing-Sensitive Curve Recovery of Sensing Physical World. - Qian Ma 003; Yu Gu 002; Tiancheng Zhang 001; Fangfang Li 002; Ge Yu 001 (BigCom, 2015)

An ELM-Based Ensemble Strategy for POI Recommendation. - Xue He; Tiancheng Zhang 001; Hengyu Liu 001; Ge Yu 001 (ELM, 2018)

Semi-supervised Dictionary Active Learning for Pattern Classification. - Qin Zhong; Meng Yang 001; Tiancheng Zhang 001 (PRCV (3), 2018)

Analysis of Macro Factors of Welfare Lottery Marketing Based on Big Data. - Cheng Li; Hua Shao; Tiancheng Zhang 001; Ge Yu 001 (WISA, 2019)

Small Traffic Sign Detection Through Selective Feature Fusion Based Faster R-CNN With Arc-Softmax Loss. - Site Li; Yang Gu; Zhichao Song; Tengfei Xing; Yiping Meng; Pengfei Xu 013; Runbo Hu; Tiancheng Zhang 001; Ge Yu 001; Hua Chai (IWCTS@SIGSPATIAL, 2019)

Semantic Enhanced Top-k Similarity Search on Heterogeneous Information Networks. - Minghe Yu; Yun Zhang 020; Tiancheng Zhang 001; Ge Yu 001 (DASFAA (3), 2020)

Graph-Encoder and Multi-decoders Solution Framework with Multi-attention. - Hui Cai; Tiancheng Zhang 001; Xianghui Sun; Minghe Yu; Ge Yu 001 (WISA, 2021)

Tracking Knowledge Structures and Proficiencies of Students With Learning Transfer. - Hengyu Liu 001; Tiancheng Zhang 001; Fan Li; Yu Gu 002; Ge Yu 001 (IEEE Access, 2021)

Learning Rate Perturbation: A Generic Plugin of Learning Rate Schedule towards Flatter Local Minima. - Hengyu Liu 001; Qiang Fu 015; Lun Du; Tiancheng Zhang 001; Ge Yu 001; Shi Han; Dongmei Zhang 001 (CIKM, 2022)

MAKT: A Knowledge Tracing Model Based on Meta Path and Attention Mechanism. - Shaopeng Yang; Tiancheng Zhang 001; Siyuan Mao; Ge Yu 001; Yiming Sun (CSSE, 2022)

An Extensible Heterogeneous Network Embedding Framework for Knowledge Tracing. - Xue He; Tiancheng Zhang 001; Minghe Yu; Ge Yu 001; Yuhai Zhao (Int. J. Softw. Informatics, 2022)

Semantic enhanced Top-k similarity search on weighted HIN. - Yun Zhang 020; Minghe Yu; Tiancheng Zhang 001; Ge Yu 001 (Neural Comput. Appl., 2022)

MG-CR: Factor Memory Network and Graph Neural Network Based Personalized Course Recommendation. - Yun Zhang 020; Minghe Yu; Jintong Sun; Tiancheng Zhang 001; Ge Yu 001 (DASFAA (2), 2023)

Bayesian Personalized Federated Learning with Shared and Personalized Uncertainty Representations. - Hui Chen 026; Hengyu Liu 001; Longbing Cao; Tiancheng Zhang 001 (CoRR, 2023)

New development of cognitive diagnosis models. - Yingjie Liu; Tiancheng Zhang 001; Xuecen Wang; Ge Yu 001; Tao Li (Frontiers Comput. Sci., 2023)

BEM-SM: A BERT-Encoder Model with Symmetry Supervision Module for Solving Math Word Problem. - Yijia Zhang; Tiancheng Zhang 001; Peng Xie; Minghe Yu; Ge Yu 001 (Symmetry, 2023)

A sampling method based on forecasting and combinatorial optimization for high performance A/B testing. - Fan Li; Tiancheng Zhang 001; Shengjia Cui; Hengyu Liu 001; Zhibin Ren; Donglin Di; Xiao Wang; Po Zhang; Ge Yu 001 (Frontiers Comput. Sci., 2023)

Multi-contrast MRI Reconstruction with Deformable Attention and Invertible Network. - Tiancheng Zhang 001; Xinyi Zhang (ICME, 2024)

A probabilistic generative model for tracking multi-knowledge concept mastery probability. - Hengyu Liu 001; Tiancheng Zhang 001; Fan Li; Minghe Yu; Ge Yu 001 (Frontiers Comput. Sci., 2024)

A probabilistic optimizer for binary neural networks. - Xue He; Xue Geng; Tiancheng Zhang 001; Minghe Yu; Min Wu; Ge Yu 001; Yuhai Zhao (Neurocomputing, 2025)

HG-SCC: A Subgraph-Aware Convolutional Few-Shot Classification Method on Heterogeneous Graphs. - Minghe Yu; Yun Zhang 020; Jintong Sun; Min Huang 001; Tiancheng Zhang 001; Ge Yu 001 (IEEE Trans. Knowl. Data Eng., 2025)

Autoformalization in the Era of Large Language Models: A Survey. - Ke Weng; Lun Du; Sirui Li; Wangyue Lu; Haozhe Sun; Hengyu Liu 001; Tiancheng Zhang 001 (CoRR, 2025)