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A 5T-SRAM Based Computing-in-Memory Macro Featuring Partial Sum Boosting and Analog Non-Uniform Quantization Conference paper
Xin, Guoqiang, Tan, Fei, Li, Junde, Chen, Junren, Yu, Wei Han, Un, Ka Fai, Martins, Rui P., Mak, Pui In. A 5T-SRAM Based Computing-in-Memory Macro Featuring Partial Sum Boosting and Analog Non-Uniform Quantization[C]:Institute of Electrical and Electronics Engineers Inc., 2024, 882-887.
Authors:  Xin, Guoqiang;  Tan, Fei;  Li, Junde;  Chen, Junren;  Yu, Wei Han; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0 | Submit date：2024/10/10
5t-sram  Analog Non-uniform Quantization (Anuq)  Computing-in-memory (Clm)  Machine Learning (Ml)  Matrix-vector Multiplication (Mvm)  Partial Sum Boosting (Psb)  
Complex graph convolutional network for link prediction in knowledge graphs Journal article
Zeb, Adnan, Saif, Summaya, Chen, Junde, Haq, Anwar Ul, Gong, Zhiguo, Zhang, Defu. Complex graph convolutional network for link prediction in knowledge graphs[J]. Expert Systems with Applications, 2022, 200, 116796.
Authors:  Zeb, Adnan;  Saif, Summaya;  Chen, Junde;  Haq, Anwar Ul;  Gong, Zhiguo; et al.
Favorite | TC[WOS]:35 TC[Scopus]:44  IF:7.5/7.6 | Submit date：2022/05/13
Knowledge Graph  Link Prediction  Graph Convolutional Network  Complex Embeddings  Tensor Decomposition  
KGEL: A novel end-to-end embedding learning framework for knowledge graph completion Journal article
Zeb, Adnan, Ul Haq, Anwar, Zhang, Defu, Chen, Junde, Gong, Zhiguo. KGEL: A novel end-to-end embedding learning framework for knowledge graph completion[J]. EXPERT SYSTEMS WITH APPLICATIONS, 2021, 167, 114164.
Authors:  Zeb, Adnan;  Ul Haq, Anwar;  Zhang, Defu;  Chen, Junde;  Gong, Zhiguo
Favorite | TC[WOS]:19 TC[Scopus]:29  IF:7.5/7.6 | Submit date：2021/03/09
Knowledge Graph  Link Prediction  Tensor Factorization  Tensor Train Decomposition  Weighted Graph Convolutional Network  
KGEL: A novel end-to-end embedding learning framework for knowledge graph completion Journal article
Zeb, Adnan, Ul Haq, Anwar, Zhang, Defu, Chen, Junde, Gong, Zhiguo. KGEL: A novel end-to-end embedding learning framework for knowledge graph completion[J]. EXPERT SYSTEMS WITH APPLICATIONS, 2021, 167, 114164.
Authors:  Zeb, Adnan;  Ul Haq, Anwar;  Zhang, Defu;  Chen, Junde;  Gong, Zhiguo
Favorite | TC[WOS]:19 TC[Scopus]:29  IF:7.5/7.6 | Submit date：2022/08/26
Knowledge Graph  Link Prediction  Tensor Factorization  Tensor Train Decomposition  Weighted Graph Convolutional Network