output
20092023
most citedBinary Neural Networks: A Survey

553 citations

Showing 2016Show all

11 papers · 1 filter

cs.CL2016★ 9 cited

Sequential Matching Network: A New Architecture for Multi-turn Response Selection in Retrieval-based Chatbots

Yu Wu, Wei Wu, Chen Xing +2

We study response selection for multi-turn conversation in retrieval-based chatbots. Existing work either concatenates utterances in context or matches a response with a highly abs…

cs.CV2016★ 23 cited

End-to-End Subtitle Detection and Recognition for Videos in East Asian Languages via CNN Ensemble with Near-Human-Level Performance

Yan Xu, Siyuan Shan, Ziming Qiu +5

In this paper, we propose an innovative end-to-end subtitle detection and recognition system for videos in East Asian languages. Our end-to-end system consists of multiple stages.…

nlin.CD2016★ 180 cited

Master stability functions for complete, intra-layer and inter-layer synchronization in multiplex networks

Longkun Tang, Xiaoqun Wu, Jinhu Lü +2

Synchronization phenomena are of broad interest across disciplines and increasingly of interest in a multiplex network setting. Here we show how the Master Stability Function, a ce…

cs.CV2016

Learning Multi-level Features For Sensor-based Human Action Recognition

Yan Xu, Zhengyang Shen, Xin Zhang +5

This paper proposes a multi-level feature learning framework for human action recognition using a single body-worn inertial sensor. The framework consists of three phases, respecti…

cs.CV2016★ 184 cited

Gland Instance Segmentation Using Deep Multichannel Neural Networks

Yan Xu, Yang Li, Yipei Wang +4

Objective: A new image instance segmentation method is proposed to segment individual glands (instances) in colon histology images. This process is challenging since the glands not…

cs.CL2016★ 313 cited

Topic Aware Neural Response Generation

Chen Xing, Wei Wu, Yu Wu +4

We consider incorporating topic information into the sequence-to-sequence framework to generate informative and interesting responses for chatbots. To this end, we propose a topic…