Discover Relaxed Periodicity in Temporal Databases. - Changjie Tang; Zhonghua Yu; Tianqing Zhang (DASFAA, 1999)

Discovering Tendency Association between Objects with Relaxed Periodicity and its Application in Seismology. - Changjie Tang; Rynson W. H. Lau; Huabei Yin; Qing Li 001; Lu Yang; Zhonghua Yu; Limin Xiang; Tianqing Zhang (ICSC, 1999)

Web Document Filtering Technique Based on Natural Language Understanding. - Tong Li; Changjie Tang; Jie Zuo; Tianqing Zhang (Int. J. Comput. Process. Orient. Lang., 2001)

Mining Predicate Association Rule by Gene Expression Programming. - Jie Zuo; Changjie Tang; Tianqing Zhang (WAIM, 2002)

Automatic Re-Organization of Group-Wised Web Courseware. - Changjie Tang; Rynson W. H. Lau; Qing Li 001; Tianqing Zhang (Int. J. Distance Educ. Technol., 2003)

Distance-Learning Courseware Discrimination for Discernment Ability Training. - Changjie Tang; Rynson W. H. Lau; Qing Li 001; Jean W. H. Poon; Tianqing Zhang (Int. J. Distance Educ. Technol., 2005)

Distance Guided Classification with Gene Expression Programming. - Lei Duan; Changjie Tang; Tianqing Zhang; Dagang Wei; Huan Zhang (ADMA, 2006)

Mining Multi-dimensional Frequent Patterns Without Data Cube Construction. - Chuan Li 002; Changjie Tang; Zhonghua Yu; Yintian Liu; Tianqing Zhang; Qihong Liu; Minfang Zhu; Yongguang Jiang (PRICAI, 2006)

Mining Class Contrast Functions by Gene Expression Programming. - Lei Duan; Changjie Tang; Liang Tang; Tianqing Zhang; Jie Zuo (ADMA, 2009)

Meta Galaxy: A Flexible and Efficient Cube Model for Data Retrieval in OLAP. - Jie Zuo; Changjie Tang; Lei Duan; Yue Wang 014; Liang Tang; Tianqing Zhang; Jun Zhu (APWeb/WAIM Workshops, 2009)

An Effective Microarray Data Classifier Based on Gene Expression Programming. - Lei Duan; Changjie Tang; Liang Tang; Jie Zuo; Tianqing Zhang (ICNC (4), 2009)

Mining Contrast Inequalities in Numeric Dataset. - Lei Duan; Jie Zuo; Tianqing Zhang; Jing Peng; Jie Gong (WAIM, 2010)

A Parallel Algorithm for Mining Density-Aware Distinguishing Sequential Patterns with Spark. - Pan Qin; Lei Duan; Tianqing Zhang; Pu Wang (CBD, 2016)

Thermodynamic and Economic Analysis of an Integrated Solar Combined Cycle System. - Shucheng Wang; Zhongguang Fu; Sajid Sajid; Tianqing Zhang; Gaoqiang Zhang (Entropy, 2018)

Automated Machine Learning for Steel Production: A Case Study of TPOT for Material Mechanical Property Prediction. - Tianqing Zhang; Jian Zhang 083; Gongzhuang Peng; Hongwei Wang 001 (ICEBE, 2022)

Improving Retrieval-Based Dialogue Systems: Fine-Grained Post-training Prompt Adaptation and Pairwise Optimization Fine-Tuning Strategy. - Tianqing Zhang; Alimjan Aysa; Li Zhao; Kurban Ubul; Enguang Zuo (ICDAR (6), 2024)

Deep generative design of RNA aptamers using structural predictions. - Felix Wong; Dongchen He; Aarti Krishnan; Liang Hong; Alexander Z. Wang; Jiuming Wang; Zhihang Hu; Satotaka Omori; Alicia Li; Jiahua Rao; Qinze Yu; Wengong Jin; et al. (Nat. Comput. Sci., 2024)

FSTA-SNN: Frequency-Based Spatial-Temporal Attention Module for Spiking Neural Networks. - Kairong Yu; Tianqing Zhang; Hongwei Wang; Qi Xu (AAAI, 2025)

Temporal Separation with Entropy Regularization for Knowledge Distillation in Spiking Neural Networks. - Kairong Yu; Chengting Yu; Tianqing Zhang; Xiaochen Zhao; Shu Yang; Hongwei Wang; Qiang Zhang; Qi Xu (CVPR, 2025)

STAA-SNN: Spatial-Temporal Attention Aggregator for Spiking Neural Networks. - Tianqing Zhang; Kairong Yu; Xian Zhong; Hongwei Wang; Qi Xu; Qiang Zhang (CVPR, 2025)

DA-LIF: Dual Adaptive Leaky Integrate-and-Fire Model for Deep Spiking Neural Networks. - Tianqing Zhang; Kairong Yu; Jian Zhang 083; Hongwei Wang 001 (ICASSP, 2025)

EIoU-EMC: A Novel Loss for Domain-specific Nested Entity Recognition. - Jian Zhang 083; Tianqing Zhang; Qi Li; Hongwei Wang 001 (SIGIR, 2025)

FSTA-SNN:Frequency-based Spatial-Temporal Attention Module for Spiking Neural Networks. - Kairong Yu; Tianqing Zhang; Hongwei Wang 001; Qi Xu (CoRR, 2025)

Neural Posterior Estimation for Cataloging Astronomical Images with Spatially Varying Backgrounds and Point Spread Functions. - Aakash Patel; Tianqing Zhang; Camille Avestruz; Jeffrey Regier; LSST Dark Energy Science Collaboration (CoRR, 2025)

Head-Tail-Aware KL Divergence in Knowledge Distillation for Spiking Neural Networks. - Tianqing Zhang; Zixin Zhu; Kairong Yu; Hongwei Wang (CoRR, 2025)

TS-SNN: Temporal Shift Module for Spiking Neural Networks. - Kairong Yu; Tianqing Zhang; Qi Xu; Gang Pan; Hongwei Wang (CoRR, 2025)