output
20202023
most citedText Compression-aided Transformer Encoding

51 citations

6 papers

cs.CL20234 cited

Channel-aware Decoupling Network for Multi-turn Dialogue Comprehension

Zhuosheng Zhang, Hai Zhao, Longxiang Liu

Training machines to understand natural language and interact with humans is one of the major goals of artificial intelligence. Recent years have witnessed an evolution from matchi…

cs.CL202335 cited

Universal Multimodal Representation for Language Understanding

Zhuosheng Zhang, Kehai Chen, Rui Wang +4

Representation learning is the foundation of natural language processing (NLP). This work presents new methods to employ visual information as assistant signals to general NLP task…

eess.SP20227 cited

Digitally-assisted photonic analog domain self-interference cancellation for in-band full-duplex MIMO systems via LS algorithm with adaptive order

Moxuan Han, Yang Chen

A digitally-assisted photonic analog domain self-interference cancellation (SIC) and frequency downconversion method is proposed for in-band full-duplex multiple-input multiple-out…

eess.SP2021

Multi-functional microwave photonic radar system for simultaneous distance and velocity measurement and high-resolution microwave imaging

Dingding Liang, Lizhong Jiang, Yang Chen

A photonic-assisted multi-functional radar system for simultaneous distance and velocity measurement and high-resolution microwave imaging is proposed and experimentally demonstrat…

cs.CL202151 cited

Text Compression-aided Transformer Encoding

Zuchao Li, Zhuosheng Zhang, Hai Zhao +4

Text encoding is one of the most important steps in Natural Language Processing (NLP). It has been done well by the self-attention mechanism in the current state-of-the-art Transfo…

eess.AS20201 cited

Future Vector Enhanced LSTM Language Model for LVCSR

Qi Liu, Yanmin Qian, Kai Yu

Language models (LM) play an important role in large vocabulary continuous speech recognition (LVCSR). However, traditional language models only predict next single word with given…