Tianqing Zhang

35 papers A* 6B 3C 2Misc 1Journal 15Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Opportunities in AI/ML for the Rubin LSST Dark Energy Science Collaboration. CoRR LSST Dark Energy Science Collaboration, Eric Aubourg, Camille Avestruz, Matthew R. Becker, Biswajit Biswas, Rahul Biswas, Boris Bolliet, Adam S. Bolton, Clecio R. Bom, Raphaël Bonnet-Guerrini, Alexandre Boucaud, Jean-Eric Campagne, Chihway Chang, Aleksandra Ciprijanovic, Johann Cohen-Tanugi, Michael W. Coughlin, John Franklin Crenshaw, Juan C. Cuevas-Tello, Juan de Vicente, Seth W. Digel, Steven Dillmann, Mariano Javier de León Dominguez Romero, Alex Drlica-Wagner, Sydney Erickson, Alexander T. Gagliano, Christos Georgiou, Aritra Ghosh, Matthew Grayling, Kirill A. Grishin, Alan Heavens, Lindsay R. House, Mustapha Ishak, Wassim Kabalan, Arun Kannawadi, François Lanusse, C. Danielle Leonard, Pierre-François Léget, Michelle Lochner, Yao-Yuan Mao, Peter Melchior, Grant Merz, Martin Millon, Anais Möller, Gautham Narayan, Yuuki Omori, Hiranya Peiris, Laurence Perreault Levasseur, Andrés Alejandro Plazas Malagón, Nesar Ramachandra, Benjamin Remy, Cécile Roucelle, Jaime Ruiz-Zapatero, Stefan Schuldt, Ignacio Sevilla-Noarbe, Ved G. Shah, Tjitske Starkenburg, Stephen Thorp, Laura Toribio San Cipriano, Tilman Tröster, Roberto Trotta, Padma Venkatraman, Amanda Wasserman, Tim White, Justine Zeghal, Tianqing Zhang, Yuanyuan Zhang
2026	A*	`conf`	RMSAGen: Integrating Multiple Sequence Alignment for Function RNA Design. AAAI Jiyue Jiang, Yanyu Chen, Qingchuan Zhang, Jiayi Li, Xiangyu Shi, Chang Zhou, Ziqian Lin, Jiuming Wang, Dongchen He, Liang Hong, Qintong Li, Pengan Chen, Jiayang Chen, Xinrui Zhang, Jiao Yuan, Tianqing Zhang, Yu Li
2025	Misc	`conf`	DA-LIF: Dual Adaptive Leaky Integrate-and-Fire Model for Deep Spiking Neural Networks. ICASSP Tianqing Zhang, Kairong Yu, Jian Zhang, Hongwei Wang
2025	J	`jnl`	DA-LIF: Dual Adaptive Leaky Integrate-and-Fire Model for Deep Spiking Neural Networks. CoRR Tianqing Zhang, Kairong Yu, Jian Zhang, Hongwei Wang
2025	A*	`conf`	EIoU-EMC: A Novel Loss for Domain-specific Nested Entity Recognition. SIGIR Jian Zhang, Tianqing Zhang, Qi Li, Hongwei Wang
2025	J	`jnl`	EIoU-EMC: A Novel Loss for Domain-specific Nested Entity Recognition. CoRR Jian Zhang, Tianqing Zhang, Qi Li, Hongwei Wang
2025	A*	`conf`	FSTA-SNN: Frequency-Based Spatial-Temporal Attention Module for Spiking Neural Networks. AAAI Kairong Yu, Tianqing Zhang, Hongwei Wang, Qi Xu
2025	J	`jnl`	FSTA-SNN:Frequency-based Spatial-Temporal Attention Module for Spiking Neural Networks. CoRR Kairong Yu, Tianqing Zhang, Hongwei Wang, Qi Xu
2025	B	`conf`	Head-Tail-Aware KL Divergence in Knowledge Distillation for Spiking Neural Networks. IJCNN Tianqing Zhang, Zixin Zhu, Kairong Yu, Hongwei Wang
2025	J	`jnl`	Head-Tail-Aware KL Divergence in Knowledge Distillation for Spiking Neural Networks. CoRR Tianqing Zhang, Zixin Zhu, Kairong Yu, Hongwei Wang
2025	J	`jnl`	Neural Posterior Estimation for Cataloging Astronomical Images with Spatially Varying Backgrounds and Point Spread Functions. CoRR Aakash Patel, Tianqing Zhang, Camille Avestruz, Jeffrey Regier, LSST Dark Energy Science Collaboration
2025	J	`jnl`	Normalized solutions for Choquard equations involving Hardy terms and local perturbations. Period. Math. Hung. Zhenyu Guo, Tianqing Zhang
2025	A*	`conf`	STAA-SNN: Spatial-Temporal Attention Aggregator for Spiking Neural Networks. CVPR Tianqing Zhang, Kairong Yu, Xian Zhong, Hongwei Wang, Qi Xu, Qiang Zhang
2025	J	`jnl`	STAA-SNN: Spatial-Temporal Attention Aggregator for Spiking Neural Networks. CoRR Tianqing Zhang, Kairong Yu, Xian Zhong, Hongwei Wang, Qi Xu, Qiang Zhang
2025	A*	`conf`	TS-SNN: Temporal Shift Module for Spiking Neural Networks. ICML Kairong Yu, Tianqing Zhang, Qi Xu, Gang Pan, Hongwei Wang
2025	J	`jnl`	TS-SNN: Temporal Shift Module for Spiking Neural Networks. CoRR Kairong Yu, Tianqing Zhang, Qi Xu, Gang Pan, Hongwei Wang
2025	A*	`conf`	Temporal Separation with Entropy Regularization for Knowledge Distillation in Spiking Neural Networks. CVPR Kairong Yu, Chengting Yu, Tianqing Zhang, Xiaochen Zhao, Shu Yang, Hongwei Wang, Qiang Zhang, Qi Xu
2025	J	`jnl`	Temporal Separation with Entropy Regularization for Knowledge Distillation in Spiking Neural Networks. CoRR Kairong Yu, Chengting Yu, Tianqing Zhang, Xiaochen Zhao, Shu Yang, Hongwei Wang, Qiang Zhang, Qi Xu
2024	J	`jnl`	Deep generative design of RNA aptamers using structural predictions. Nat. Comput. Sci. 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, Tianqing Zhang, Katherine Ilia, Jack X. Chen, Shuangjia Zheng, Irwin King, Yu Li, James J. Collins
2024	—	`conf`	Improving Retrieval-Based Dialogue Systems: Fine-Grained Post-training Prompt Adaptation and Pairwise Optimization Fine-Tuning Strategy. ICDAR (6) Tianqing Zhang, Alimjan Aysa, Li Zhao, Kurban Ubul, Enguang Zuo
2022	—	`conf`	Automated Machine Learning for Steel Production: A Case Study of TPOT for Material Mechanical Property Prediction. ICEBE Tianqing Zhang, Jian Zhang, Gongzhuang Peng, Hongwei Wang
2018	J	`jnl`	Thermodynamic and Economic Analysis of an Integrated Solar Combined Cycle System. Entropy Shucheng Wang, Zhongguang Fu, Sajid Sajid, Tianqing Zhang, Gaoqiang Zhang
2016	—	`conf`	A Parallel Algorithm for Mining Density-Aware Distinguishing Sequential Patterns with Spark. CBD Pan Qin, Lei Duan, Tianqing Zhang, Pu Wang
2010	—	`conf`	Mining Contrast Inequalities in Numeric Dataset. WAIM Lei Duan, Jie Zuo, Tianqing Zhang, Jing Peng, Jie Gong
2009	—	`conf`	An Effective Microarray Data Classifier Based on Gene Expression Programming. ICNC (4) Lei Duan, Changjie Tang, Liang Tang, Jie Zuo, Tianqing Zhang
2009	—	`conf`	Meta Galaxy: A Flexible and Efficient Cube Model for Data Retrieval in OLAP. APWeb/WAIM Workshops Jie Zuo, Changjie Tang, Lei Duan, Yue Wang, Liang Tang, Tianqing Zhang, Jun Zhu
2009	C	`conf`	Mining Class Contrast Functions by Gene Expression Programming. ADMA Lei Duan, Changjie Tang, Liang Tang, Tianqing Zhang, Jie Zuo
2006	C	`conf`	Distance Guided Classification with Gene Expression Programming. ADMA Lei Duan, Changjie Tang, Tianqing Zhang, Dagang Wei, Huan Zhang
2006	B	`conf`	Mining Multi-dimensional Frequent Patterns Without Data Cube Construction. PRICAI Chuan Li, Changjie Tang, Zhonghua Yu, Yintian Liu, Tianqing Zhang, Qihong Liu, Minfang Zhu, Yongguang Jiang
2005	J	`jnl`	Distance-Learning Courseware Discrimination for Discernment Ability Training. Int. J. Distance Educ. Technol. Changjie Tang, Rynson W. H. Lau, Qing Li, Jean W. H. Poon, Tianqing Zhang
2003	J	`jnl`	Automatic Re-Organization of Group-Wised Web Courseware. Int. J. Distance Educ. Technol. Changjie Tang, Rynson W. H. Lau, Qing Li, Tianqing Zhang
2002	—	`conf`	Mining Predicate Association Rule by Gene Expression Programming. WAIM Jie Zuo, Changjie Tang, Tianqing Zhang
2001	J	`jnl`	Web Document Filtering Technique Based on Natural Language Understanding. Int. J. Comput. Process. Orient. Lang. Tong Li, Changjie Tang, Jie Zuo, Tianqing Zhang
1999	B	`conf`	Discover Relaxed Periodicity in Temporal Databases. DASFAA Changjie Tang, Zhonghua Yu, Tianqing Zhang
1999	—	`conf`	Discovering Tendency Association between Objects with Relaxed Periodicity and its Application in Seismology. ICSC Changjie Tang, Rynson W. H. Lau, Huabei Yin, Qing Li, Lu Yang, Zhonghua Yu, Limin Xiang, Tianqing Zhang