output
20142023
most citedIdentifying Stable Patterns over Time for Emotion Recognition from EEG

55 citations

23 papers

cs.CL2023★ 4 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.CL2023★ 35 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…

cs.CL2022★ 2 cited

Towards End-to-End Open Conversational Machine Reading

Sizhe Zhou, Siru Ouyang, Zhuosheng Zhang +1

In open-retrieval conversational machine reading (OR-CMR) task, machines are required to do multi-turn question answering given dialogue history and a textual knowledge base. Exist…

eess.SP2022★ 12 cited

Photonics-assisted analog wideband self-interference cancellation for in-band full-duplex MIMO systems with adaptive digital amplitude and delay pre-matching

Taixia Shi, Yang Chen

A photonics-assisted analog wideband RF self-interference (SI) cancellation and frequency downconversion approach for in-band full-duplex (IBFD) multiple-input multiple-output (MIM…

eess.SP2022★ 7 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…

physics.optics2022★ 8 cited

Photonics-based short-time Fourier transform without high-frequency electronic devices and equipment

Pengcheng Zuo, Dong Ma, Yang Chen

A photonics-based short-time Fourier transform (STFT) system is proposed and experimentally demonstrated based on stimulated Brillouin scattering (SBS) without using high-frequency…

eess.SP2022★ 31 cited

Photonics-Assisted Joint Communication-Radar System Based on a QPSK-Sliced Linearly Frequency-Modulated Signal

Shi Wang, Dingding Liang, Yang Chen

A photonics-assisted joint communication-radar system is proposed and experimentally demonstrated, by introducing a quadrature phase-shift keying (QPSK)-sliced linearly frequency-m…

eess.SP2021★ 43 cited

Short-time Fourier transform based on stimulated Brillouin scattering

Pengcheng Zuo, Dong Ma, Yang Chen

In this paper, all-optical short-time Fourier transform (STFT) based on stimulated Brillouin scattering (SBS) is proposed and further used for real-time time-frequency analysis of…

eess.SP2021★ 13 cited

Photonics-based de-chirping and leakage cancellation for frequency-modulated continuous-wave radar system

Taixia Shi, Dingding Liang, Moxuan Han +1

A photonics-based leakage cancellation and echo signal de-chirping approach for frequency-modulated continuous-wave radar systems is proposed based on a dual-drive Mach-Zehnder mod…

eess.SP2021★ 16 cited

Digital-assisted photonic analog wideband multipath self-interference cancellation

Moxuan Han, Taixia Shi, Yang Chen

A digital-assisted photonic analog wideband radio-frequency multipath self-interference cancellation (SIC) and frequency downconversion method based on a dual-drive Mach-Zehnder mo…

physics.app-ph2021★ 9 cited

Photonics-assisted microwave pulse detection and frequency measurement based on pulse replication and frequency-to-time mapping

Pengcheng Zuo, Dong Ma, Qingbo Liu +2

A photonics-assisted microwave pulse detection and frequency measurement scheme is proposed. The unknown microwave pulse is converted to the optical domain and then injected into a…

eess.SP2021★ 9 cited

Time-frequency analysis of microwave signals based on stimulated Brillouin scattering

Dong Ma, Pengcheng Zuo, Yang Chen

A novel photonic approach to the time-frequency analysis of microwave signals is proposed based on the stimulated Brillouin scattering (SBS)-assisted frequency-to-time mapping (FTT…

eess.SP2021★ 5 cited

Photonics-assisted wideband RF self-interference cancellation with digital domain amplitude and delay pre-matching

Taixia Shi, Moxuan Han, Yang Chen

A photonics-based digital and analog self-interference cancellation approach for in-band full-duplex communication systems and frequency-modulated continuous-wave radar systems is…

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.SD2021★ 18 cited

Phone-Level Prosody Modelling with GMM-Based MDN for Diverse and Controllable Speech Synthesis

Chenpeng Du, Kai Yu

Generating natural speech with a diverse and smooth prosody pattern is a challenging task. Although random sampling with phone-level prosody distribution has been investigated to g…

cs.CL2021★ 51 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…

cs.CL2020★ 3 cited

Dialogue Graph Modeling for Conversational Machine Reading

Siru Ouyang, Zhuosheng Zhang, Hai Zhao

Conversational Machine Reading (CMR) aims at answering questions in a complicated manner. Machine needs to answer questions through interactions with users based on given rule docu…

cs.CL2020★ 3 cited

Document-level Neural Machine Translation with Document Embeddings

Shu Jiang, Hai Zhao, Zuchao Li +1

Standard neural machine translation (NMT) is on the assumption of document-level context independent. Most existing document-level NMT methods are satisfied with a smattering sense…

eess.AS2020★ 1 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…

cs.CL2018★ 1 cited

On Modular Training of Neural Acoustics-to-Word Model for LVCSR

Zhehuai Chen, Qi Liu, Hao Li +1

End-to-end (E2E) automatic speech recognition (ASR) systems directly map acoustics to words using a unified model. Previous works mostly focus on E2E training a single model which…

cs.CV2017★ 4 cited

Multi-shot Pedestrian Re-identification via Sequential Decision Making

Jianfu Zhang, Naiyan Wang, Liqing Zhang

Multi-shot pedestrian re-identification problem is at the core of surveillance video analysis. It matches two tracks of pedestrians from different cameras. In contrary to existing…

cs.HC2016★ 55 cited

Identifying Stable Patterns over Time for Emotion Recognition from EEG

Wei-Long Zheng, Jia-Yi Zhu, Bao-Liang Lu

In this paper, we investigate stable patterns of electroencephalogram (EEG) over time for emotion recognition using a machine learning approach. Up to now, various findings of acti…

cs.DS2014★ 1 cited

On Unconstrained Quasi-Submodular Function Optimization

Jincheng Mei, Kang Zhao, Bao-Liang Lu

With the extensive application of submodularity, its generalizations are constantly being proposed. However, most of them are tailored for special problems. In this paper, we focus…