Hui Su | DeepAI

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Jie Zhou
349 publications
Li Zhang
240 publications
Yang Yu
155 publications
fcq
109 publications
Mingli Song
102 publications
Mo Yu
88 publications
Wenjie Li
82 publications
Shiyu Chang
81 publications
Kentaro Inui
78 publications
Dietrich Klakow
69 publications
Lirong Xia
61 publications

∙ 05/29/2023

ACETest: Automated Constraint Extraction for Testing Deep Learning Operators

Deep learning (DL) applications are prevalent nowadays as they can help ...

0 Jingyi Shi, et al. ∙

∙ 12/05/2022

SASFormer: Transformers for Sparsely Annotated Semantic Segmentation

Semantic segmentation based on sparse annotation has advanced in recent ...

0 Hui Su, et al. ∙

∙ 09/21/2022

WeLM: A Well-Read Pre-trained Language Model for Chinese

Large Language Models pre-trained with self-supervised learning have dem...

0 Hui Su, et al. ∙

∙ 08/03/2022

Re-Attention Transformer for Weakly Supervised Object Localization

Weakly supervised object localization is a challenging task which aims t...

0 Hui Su, et al. ∙

∙ 06/14/2022

Temporal Multimodal Multivariate Learning

We introduce temporal multimodal multivariate learning, a new family of ...

0 Hyoshin Park, et al. ∙

∙ 12/16/2021

Knowledge-enhanced Session-based Recommendation with Temporal Transformer

Recent research has achieved impressive progress in the session-based re...

0 Rongzhi Zhang, et al. ∙

∙ 06/07/2021

Narrative Question Answering with Cutting-Edge Open-Domain QA Techniques: A Comprehensive Study

Recent advancements in open-domain question answering (ODQA), i.e., find...

0 Xiangyang Mou, et al. ∙

∙ 03/22/2021

Complementary Evidence Identification in Open-Domain Question Answering

This paper proposes a new problem of complementary evidence identificati...

4 Xiangyang Mou, et al. ∙

∙ 02/06/2021

Neural Data-to-Text Generation with LM-based Text Augmentation

For many new application domains for data-to-text generation, the main o...

0 Ernie Chang, et al. ∙

∙ 11/14/2020

Patient-Specific Seizure Prediction Using Single Seizure Electroencephalography Recording

Electroencephalogram (EEG) is a prominent way to measure the brain activ...

0 Zaid Bin Tariq, et al. ∙

∙ 10/18/2020

Deep Structured Prediction for Facial Landmark Detection

Existing deep learning based facial landmark detection methods have achi...

0 Lisha Chen, et al. ∙

∙ 07/20/2020

Multimodal Dialogue State Tracking By QA Approach with Data Augmentation

Recently, a more challenging state tracking task, Audio-Video Scene-Awar...

0 Xiangyang Mou, et al. ∙

∙ 07/20/2020

Frustratingly Hard Evidence Retrieval for QA Over Books

A lot of progress has been made to improve question answering (QA) in re...

0 Xiangyang Mou, et al. ∙

∙ 05/09/2020

Diversifying Dialogue Generation with Non-Conversational Text

Neural network-based sequence-to-sequence (seq2seq) models strongly suff...

0 Hui Su, et al. ∙

∙ 05/03/2020

Neural Data-to-Text Generation via Jointly Learning the Segmentation and Correspondence

The neural attention model has achieved great success in data-to-text ge...

0 Xiaoyu Shen, et al. ∙

∙ 01/17/2020

Trust in AutoML: Exploring Information Needs for Establishing Trust in Automated Machine Learning Systems

We explore trust in a relatively new area of data science: Automated Mac...

0 Jaimie Drozdal, et al. ∙

∙ 09/10/2019

Select and Attend: Towards Controllable Content Selection in Text Generation

Many text generation tasks naturally contain two steps: content selectio...

0 Xiaoyu Shen, et al. ∙

∙ 06/14/2019

Improving Multi-turn Dialogue Modelling with Utterance ReWriter

Recent research has made impressive progress in single-turn dialogue mod...

0 Hui Su, et al. ∙

∙ 10/27/2018

Reagent: Converting Ordinary Webpages into Interactive Software Agents

We introduce Reagent, a technology that readily converts ordinary webpag...

0 Mathew Peveler, et al. ∙

∙ 09/27/2018

NEXUS Network: Connecting the Preceding and the Following in Dialogue Generation

Sequence-to-Sequence (seq2seq) models have become overwhelmingly popular...

0 Hui Su, et al. ∙

∙ 05/14/2018

A Cost-Effective Framework for Preference Elicitation and Aggregation

We propose a cost-effective framework for preference elicitation and agg...

0 Zhibing Zhao, et al. ∙

∙ 02/06/2018

Improving Variational Encoder-Decoders in Dialogue Generation

Variational encoder-decoders (VEDs) have shown promising results in dial...

0 Xiaoyu Shen, et al. ∙

∙ 10/11/2017

DailyDialog: A Manually Labelled Multi-turn Dialogue Dataset

We develop a high-quality multi-turn dialog dataset, DailyDialog, which ...

0 Yanran Li, et al. ∙

∙ 09/14/2017

Towards Cognitive-and-Immersive Systems: Experiments in a Shared (or common) Blockworld Framework

As computational power has continued to increase, and sensors have becom...

0 Matthew Peveler, et al. ∙

∙ 04/30/2017

A Conditional Variational Framework for Dialog Generation

Deep latent variable models have been shown to facilitate the response g...

0 Xiaoyu Shen, et al. ∙

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