MACO: A Gapped-Alignment Scoring Tool for Comparing Transcription Factor Binding Sites. - Gang Su; Binchen Mao; Jin Wang (Silico Biol., 2006)

A High-Efficiency Recursive Algorithm without Numerical Instability for Polynomial Predistorter Design. - Lingjun Xu; Gang Su; Zhijun Liu; Yong Wang; Ping Zhang (IIH-MSP, 2007)

A design of the electromagnetic driver for the "internal force-static friction" capsubot. - Gang Su; Cheng Zhang; Renjia Tan; Hongyi Li (IROS, 2009)

An Improved Margin Adaptive Subcarrier Allocation with Fairness for Multiuser OFDMA System. - Li Tan; Gang Su; Guangxi Zhu; Jun Jiang; Hui Zhang (ISNN (3), 2009)

Proportional Fair Scheduling Based on Genetic Algorithms for Multi-user MIMO Systems. - Peng Shang; Gang Su; Guangxi Zhu; Li Tan (ISNN (2), 2009)

A Multiple Weighting Matrices Selection Scheme Based on Orthogonal Random Beamforming for MIMO Downlink System. - Li Tan; Gang Su; Guangxi Zhu; Peng Shang (ISNN (3), 2009)

GSearcher: Agile Attribute Querying for Biological Networks. - Gang Su; Brian D. Athey; Fan Meng (Bioinform., 2010)

GLay: community structure analysis of biological networks. - Gang Su; Allan Kuchinsky; John H. Morris; David J. States; Fan Meng (Bioinform., 2010)

Low Complexity Antenna Selection Algorithms for downlink Distributed MIMO Systems. - Peng Shang; Guangxi Zhu; Gang Su; Kai Deng (J. Networks, 2010)

Joint bandwidth allocation and power control with interference constraints in multi-hop cognitive radio networks. - Guangxi Zhu; Xuebing Pei; Daiming Qu; Jian Liu 011; Qingping Wang; Gang Su (J. Zhejiang Univ. Sci. C, 2010)

Pose determination from airborne LiDAR data and onboard image for future driver assistance systems. - Huiying Li; Zhi Wang 009; Gang Su; Shengbo Chen (IGARSS, 2011)

clusterMaker: a multi-algorithm clustering plugin for Cytoscape. - John H. Morris; Leonard Apeltsin; Aaron M. Newman; Jan Baumbach; Tobias Wittkop; Gang Su; Gary D. Bader; Thomas E. Ferrin (BMC Bioinform., 2011)

Integrated metabolome and transcriptome analysis of the NCI60 dataset. - Gang Su; Charles F. Burant; Christopher W. Beecher; Brian D. Athey; Fan Meng (BMC Bioinform., 2011)

A Novel Dynamic Proportional Fair Scheduling Based on Block Diagonal Geometric Mean Decomposition. - Qi Zhan; Guangxi Zhu; Li Tan; Peng Shang; Gang Su (J. Networks, 2011)

Forecasting Daily Gas Load with OIHF-Elman Neural Network. - Hong Zhou; Gang Su; Guofang Li (ANT/MobiWIS, 2011)

Analysis of adaptive proportional fair scheduling method on BD-GMD scheme for MIMO systems. - Gang Su; Yun-xiang Liu; Li Tan; Hong-Yi Zhao (Int. J. Wirel. Mob. Comput., 2012)

A Novel Stopping Criterion for LTE-A High Speed Turbo Decoder. - Li Tan; Bin Hao; Gang Su (ICCC, 2013)

Resource management in radio access and IP-based core networks for IMT Advanced and Beyond. - Gang Su; Markus Hidell; Henrik Abrahamsson; Bengt Ahlgren; Dan Li 001; Peter Sjödin; Voravit Tanyingyong; Ke Xu 002 (Sci. China Inf. Sci., 2013)

Implementation of the modified Becke-Johnson meta-GGA functional in Quantum Espresso. - Éric Germaneau; Gang Su; Qing-Rong Zheng (Comput. Phys. Commun., 2013)

An efficient scheduling scheme based on MET for MIMO systems. - Gang Su; Liang Wang; Li Tan; Xiao-Qing Peng (Int. J. Wirel. Mob. Comput., 2013)

A novel dynamic clustering strategy on energy efficiency for dense network deployment. - Gang Su; Ya Xu; Li Tan; Lu Feng (ICNC-FSKD, 2017)

Vehicular Ad Hoc Network: An Intensive Review. - Ayoob Azeez Ayoob; Gang Su; Muamer N. Mohammed (ICO, 2018)

Inter-cell Interference Coordination in LTE Self Organizing Network. - Lu Feng; Gang Su; Niyonsaba Alexandre; Li Tan (IntelliSys (2), 2018)

Hierarchical Growing Neural Gas Network (HGNG)-Based Semicooperative Feature Classifier for IDS in Vehicular Ad Hoc Network (VANET). - Ayoob Azeez Ayoob; Gang Su; Gaith Al (J. Sens. Actuator Networks, 2018)

Generative Tensor Network Classification Model for Supervised Machine Learning. - Zheng-Zhi Sun; Cheng Peng; Ding Liu; Shi-Ju Ran; Gang Su (CoRR, 2019)

Quantum Compressed Sensing with Unsupervised Tensor Network Machine Learning. - Shi-Ju Ran; Zheng-Zhi Sun; Shao-Ming Fei; Gang Su; Maciej Lewenstein (CoRR, 2019)

Model and Simulation of the Heterogeneous Traffic Flow of the Urban Signalized Intersection With an Island Work Zone. - Da Yang 004; Xiaoxia Zhou; Gang Su; Sijing Liu (IEEE Trans. Intell. Transp. Syst., 2019)

Tangent-Space Gradient Optimization of Tensor Network for Machine Learning. - Zheng-Zhi Sun; Shi-Ju Ran; Gang Su (CoRR, 2020)

Asymptotically Linear Analysis and Gate Probability Allocation Schemes in Probabilistic Circuits. - Li Tan; Zhongcai Li; Gang Su; Desheng Wang 001 (IEEE Trans. Very Large Scale Integr. Syst., 2020)

Entanglement-Based Feature Extraction by Tensor Network Machine Learning. - Yuhan Liu; Wen-Jun Li; Xiao Zhang; Maciej Lewenstein; Gang Su; Shi-Ju Ran (Frontiers Appl. Math. Stat., 2021)

An improved weather impacted traffic index model based on fuzzy theory. - Lei Xie; Xiang Zou; Yingqi Wang; Gang Su (IPEC, 2022)

An integrated approach for electromagnetic compatible commercial aircraft engine cable harnessing. - Bowen Wang; Ying Zhang; Gang Su (J. Ind. Inf. Integr., 2022)

A Method for Generating True Random Numbers With Multiple Distribution Characteristics. - Gang Su; Changchun Ding; Sida Li; Zijian Liu; Zheng Gao; Junfeng Song; Shuxu Guo; Min Tao (IEEE Access, 2023)

Intelligent diagnostic scheme for lung cancer screening with Raman spectra data by tensor network machine learning. - Yu-Jia An; Sheng-Chen Bai; Lin Cheng; Xiao-Guang Li; Cheng-en Wang; Xiao-Dong Han; Gang Su; Shi-Ju Ran; Cong Wang (CoRR, 2023)

Tensor networks for interpretable and efficient quantum-inspired machine learning. - Shi-Ju Ran; Gang Su (CoRR, 2023)

Transformer-based Drum-level Prediction in a Boiler Plant with Delayed Relations among Multivariates. - Gang Su; Sun Yang; Zhishuai Li; Ziyue Li 002 (ISGT EUROPE, 2024)

Transformer-based Drum-level Prediction in a Boiler Plant with Delayed Relations among Multivariates. - Gang Su; Sun Yang; Zhishuai Li (CoRR, 2024)

Reasoning RAG via System 1 or System 2: A Survey on Reasoning Agentic Retrieval-Augmented Generation for Industry Challenges. - Jintao Liang; Gang Su; Huifeng Lin; You Wu; Rui Zhao; Ziyue Li (CoRR, 2025)