• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 49 matches

• 2024
• 
  Guoqiang Lu, Ke Niu, Xueping Peng, Yuhang Zhou, Ke Zhang, Wenjuan Tai:
  Self-KT: Self-attentive Knowledge Tracing with Feature Fusion Pre-training in Online Education. IJCNN 2024: 1-8
• 2023
• 
  Ke Niu, Yuhang Zhou, GuoQiang Lu, Wenjuan Tai, Ke Zhang:
  PMCT: Parallel Multiscale Convolutional Temporal model for MOOC dropout prediction. Comput. Electr. Eng. 112: 108989 (2023)
• 
  Ke Niu, Baoting Jia, Yuhang Zhou, GuoQiang Lu:
  A hybrid model for predicting academic performance of engineering undergraduates. Int. J. Model. Simul. Sci. Comput. 14(2): 2350030:1-2350030:19 (2023)
• 
  Zhaoyang Niu, Guoqiang Zhong, Guohua Yue, Li-Na Wang, Hui Yu, Xiao Ling, Junyu Dong:
  Recurrent attention unit: A new gated recurrent unit for long-term memory of important parts in sequential data. Neurocomputing 517: 1-9 (2023)
• 
  Ke Niu, GuoQiang Lu, Xueping Peng, Yuhang Zhou, Jingni Zeng, Ke Zhang:
  CNN autoencoders and LSTM-based reduced order model for student dropout prediction. Neural Comput. Appl. 35(30): 22341-22357 (2023)
• 
  Shizhou Zhang, De Cheng, Wenlong Luo, Yinghui Xing, Duo Long, Hao Li, Kai Niu, Guoqiang Liang, Yanning Zhang:
  Text-based Person Search in Full Images via Semantic-Driven Proposal Generation. HCMA@MM 2023: 5-14
• 
  Ke Zhang, Ke Niu, Yuhang Zhou, Wenjuan Tai, Guoqiang Lu:
  MedCT-BERT: Multimodal Mortality Prediction using Medical ConvTransformer-BERT Model. ICTAI 2023: 700-707
• 
  Guoqiang Ma, Ming Chen, Wanwei Huang, Yanfei Niu:
  Infrared Image Enhancement Algorithm Based on Multiscale Guided Filtering. ICVIP 2023: 31-36
• 
  Yuhang Zhou, Ke Niu, Haoyi Lv, GuoQiang Lu, Yijie Pan:
  CGDC- LSTM: A novel hybrid neural network model for MOOC dropout prediction. IJCNN 2023: 1-8
• 
  Chenglin Li, Yuanzhen Xie, Chenyun Yu, Bo Hu, Zang Li, Guoqiang Shu, Xiaohu Qie, Di Niu:
  One for All, All for One: Learning and Transferring User Embeddings for Cross-Domain Recommendation. WSDM 2023: 366-374
• 2022
• 
  Guoqiang Li, Wenqing Niu, Yinaer Ha, Fangchen Hu, Jie Wang, Xiaojun Yu, Junlian Jia, Peng Zou, Zhixue He, Shaohua Yu, Nan Chi:
  Position-Dependent MIMO Demultiplexing Strategy for High-Speed Visible Light Communication in Internet of Vehicles. IEEE Internet Things J. 9(13): 10833-10850 (2022)
• 
  Guoqiang Deng, Niuniu Qi, Min Tang, Xuefeng Duan:
  Constructing Dixon Matrix for Sparse Polynomial Equations Based on Hybrid and Heuristics Scheme. Symmetry 14(6): 1174 (2022)
• 
  Hui Chen, Wenqing Niu, Guoqiang Li, Zhixue He, Junwen Zhang, Nan Chi, Ziwei Li:
  Computationally Efficient Pre-Distortion based on Adaptive Partitioning Neural Network in Underwater Visible Light Communication. OFC 2022: 1-3
• 
  Chenglin Li, Mingjun Zhao, Huanming Zhang, Chenyun Yu, Lei Cheng, Guoqiang Shu, Beibei Kong, Di Niu:
  RecGURU: Adversarial Learning of Generalized User Representations for Cross-Domain Recommendation. WSDM 2022: 571-581
• 
  Chenglin Li, Yuanzhen Xie, Chenyun Yu, Bo Hu, Zang Li, Guoqiang Shu, Xiaohu Qie, Di Niu:
  One for All, All for One: Learning and Transferring User Embeddings for Cross-Domain Recommendation. CoRR abs/2211.11964 (2022)
• 2021
• 
  Xuan Li, Xuebin Wang, Fan Li, Tao Niu, Guoqiang Lu, Yue Sun, Wei Huang, Bo Hu, Kaigui Xie:
  Wind-Thermal-CSP Bundling Model With an Adjustable Heat Storage Strategy for CSP Stations. IEEE Access 9: 25984-25992 (2021)
• 
  Xiaobin Hu, Guoqiang Li, Peifeng Niu, Jianmei Wang, Linlin Zha:
  A generative adversarial neural network model for industrial boiler data repair. Appl. Soft Comput. 104: 107214 (2021)
• 
  Zhaoyang Niu, Guoqiang Zhong, Hui Yu:
  A review on the attention mechanism of deep learning. Neurocomputing 452: 48-62 (2021)
• 
  Yixiang Niu, Guoqiang Han:
  Fast AFM Imaging Based on Compressive Sensing Using Undersampled Raster Scan. IEEE Trans. Instrum. Meas. 70: 1-9 (2021)
• 
  Chenglin Li, Mingjun Zhao, Huanming Zhang, Chenyun Yu, Lei Cheng, Guoqiang Shu, Beibei Kong, Di Niu:
  RecGURU: Adversarial Learning of Generalized User Representations for Cross-Domain Recommendation. CoRR abs/2111.10093 (2021)
• 2020
• 
  Nan Chi, Fangchen Hu, Guoqiang Li, Chaofan Wang, Wenqing Niu:
  AI based on frequency slicing deep neural network for underwater visible light communication. Sci. China Inf. Sci. 63(6) (2020)
• 2019
• 
  Zehua Huang, Renren Wu, Xiaohui Yi, Hongbin Liu, Jiannan Cai, Guoqiang Niu, Mingzhi Huang, Guangguo Ying:
  A Novel Model with GA Evolving FWNN for Effluent Quality and Biogas Production Forecast in a Full-Scale Anaerobic Wastewater Treatment Process. Complex. 2019: 2468189:1-2468189:13 (2019)
• 
  Xinxin Zhang, Peifeng Niu, Xiaobin Hu, Yunpeng Ma, Guoqiang Li:
  Global quasi-synchronization and global anti-synchronization of delayed neural networks with discontinuous activations via non-fragile control strategy. Neurocomputing 361: 1-9 (2019)
• 
  Peifeng Niu, Jinbai Li, Lingfang Chang, Xianchen Zhang, Rongyan Wang, Guoqiang Li:
  A Novel Flower Pollination Algorithm for Modeling the Boiler Thermal Efficiency. Neural Process. Lett. 49(2): 737-759 (2019)
• 2018
• 
  Xiaomei Wang, Ben Niu, Guo-qiang Wu, Jun-Qing Li, Pei-Yong Duan, Dong Yang:
  Adaptive RBF Neural-Network-Based Design Strategy for Non-Strict-Feedback Nonlinear Systems by Using Integral Lyapunov Functions. IEEE Access 6: 75076-75085 (2018)
• 
  Yunpeng Ma, Peifeng Niu, Shanshan Yan, Guoqiang Li:
  A modified online sequential extreme learning machine for building circulation fluidized bed boiler's NOx emission model. Appl. Math. Comput. 334: 214-226 (2018)
• 
  Chao Liu, Peifeng Niu, Guoqiang Li, Yunpeng Ma, Weiping Zhang, Ke Chen:
  Enhanced shuffled frog-leaping algorithm for solving numerical function optimization problems. J. Intell. Manuf. 29(5): 1133-1153 (2018)
• 
  Guoqiang Li, Xiaobin Qi, Bin Chen, Yunpeng Ma, Peifeng Niu, Zhiwang Chen:
  Fast Learning Network with Parallel Layer Perceptrons. Neural Process. Lett. 47(2): 549-564 (2018)
• 
  Peifeng Niu, Yunpeng Ma, Guoqiang Li:
  Model NOx emission and thermal efficiency of CFBB based on an ameliorated extreme learning machine. Soft Comput. 22(14): 4685-4701 (2018)
• 2017
• 
  Yunpeng Ma, Peifeng Niu, Xinxin Zhang, Guoqiang Li:
  Research and application of quantum-inspired double parallel feed-forward neural network. Knowl. Based Syst. 136: 140-149 (2017)

skipping 19 more matches