22 citations · 37 across the 5 of their papers we have counts for
5 papers
Where and How to Enhance: Discovering Bit-Width Contribution for Mixed Precision Quantization
Haidong Kang, Lianbo Ma, Guo Yu +1
Mixed precision quantization (MPQ) is an effective quantization approach to achieve accuracy-complexity trade-off of neural network, through assigning different bit-widths to netwo…
Survey on Evolutionary Deep Learning: Principles, Algorithms, Applications and Open Issues
Nan Li, Lianbo Ma, Guo Yu +3
Over recent years, there has been a rapid development of deep learning (DL) in both industry and academia fields. However, finding the optimal hyperparameters of a DL model often n…
Pareto-wise Ranking Classifier for Multi-objective Evolutionary Neural Architecture Search
Lianbo Ma, Nan Li, Guo Yu +3
In the deployment of deep neural models, how to effectively and automatically find feasible deep models under diverse design objectives is fundamental. Most existing neural archite…
A Cascade Dual-Decoder Model for Joint Entity and Relation Extraction
Jian Cheng, Tian Zhang, Shuang Zhang +5
In knowledge graph construction, a challenging issue is how to extract complex (e.g., overlapping) entities and relationships from a small amount of unstructured historical data. T…
Composing Knowledge Graph Embeddings via Word Embeddings
Lianbo Ma, Peng Sun, Zhiwei Lin +1
Learning knowledge graph embedding from an existing knowledge graph is very important to knowledge graph completion. For a fact with the head entity having a relation…