b'Lu Chen'

research

∙ 05/28/2022

Angle-Uniform Parallel Coordinates

We present angle-uniform parallel coordinates, a data-independent techni...

Kaiyi Zhang, et al. ∙

research

∙ 05/25/2022

DialogZoo: Large-Scale Dialog-Oriented Task Learning

Building unified conversational agents has been a long-standing goal of ...

Zhi Chen, et al. ∙

research

∙ 05/24/2022

D4: a Chinese Dialogue Dataset for Depression-Diagnosis-Oriented Chat

In a depression-diagnosis-directed clinical session, doctors initiate a ...

Binwei Yao, et al. ∙

research

∙ 05/23/2022

META-GUI: Towards Multi-modal Conversational Agents on Mobile GUI

Task-oriented dialogue (TOD) systems have been widely used by mobile pho...

Liangtai Sun, et al. ∙

research

∙ 05/20/2022

ClusterEA: Scalable Entity Alignment with Stochastic Training and Normalized Mini-batch Similarities

Entity alignment (EA) aims at finding equivalent entities in different k...

Yunjun Gao, et al. ∙

research

∙ 05/13/2022

TIE: Topological Information Enhanced Structural Reading Comprehension on Web Pages

Recently, the structural reading comprehension (SRC) task on web pages h...

Zihan Zhao, et al. ∙

research

∙ 04/21/2022

Maximizing the Influence of Bichromatic Reverse k Nearest Neighbors in Geo-Social Networks

Geo-social networks offer opportunities for the marketing and promotion ...

Pengfei Jin, et al. ∙

research

∙ 04/14/2022

Self-Guided Learning to Denoise for Robust Recommendation

The ubiquity of implicit feedback makes them the default choice to build...

Yunjun Gao, et al. ∙

research

∙ 04/11/2022

HAKG: Hierarchy-Aware Knowledge Gated Network for Recommendation

Knowledge graph (KG) plays an increasingly important role to improve the...

Yuntao Du, et al. ∙

research

∙ 04/10/2022

UniDU: Towards A Unified Generative Dialogue Understanding Framework

With the development of pre-trained language models, remarkable success ...

Zhi Chen, et al. ∙

research

∙ 02/08/2022

MetaKG: Meta-learning on Knowledge Graph for Cold-start Recommendation

A knowledge graph (KG) consists of a set of interconnected typed entitie...

Yuntao Du, et al. ∙

research

∙ 01/03/2022

RFormer: Transformer-based Generative Adversarial Network for Real Fundus Image Restoration on A New Clinical Benchmark

Ophthalmologists have used fundus images to screen and diagnose eye dise...

Zhuo Deng, et al. ∙

research

∙ 12/17/2021

Deep Spatially and Temporally Aware Similarity Computation for Road Network Constrained Trajectories

Trajectory similarity computation has drawn massive attention, as it is ...

Ziquan Fang, et al. ∙

research

∙ 12/09/2021

Few-Shot NLU with Vector Projection Distance and Abstract Triangular CRF

Data sparsity problem is a key challenge of Natural Language Understandi...

Su Zhu, et al. ∙

research

∙ 12/08/2021

FastSGD: A Fast Compressed SGD Framework for Distributed Machine Learning

With the rapid increase of big data, distributed Machine Learning (ML) h...

Keyu Yang, et al. ∙

research

∙ 11/19/2021

Machine Learning-Based Soft Sensors for Vacuum Distillation Unit

Product quality assessment in the petroleum processing industry can be d...

Kamil Oster, et al. ∙

research

∙ 11/05/2021

A Unified Game-Theoretic Interpretation of Adversarial Robustness

This paper provides a unified view to explain different adversarial atta...

Jie Ren, et al. ∙

research

∙ 10/13/2021

An Efficient Source Model Selection Framework in Model Databases

With the explosive increase of big data, training a Machine Learning (ML...

Minjun Zhao, et al. ∙

research

∙ 09/23/2021

Evolutionary Clustering of Streaming Trajectories

The widespread deployment of smartphones and location-enabled, networked...

Tianyi Li, et al. ∙

research

∙ 09/09/2021

Copy-Move Image Forgery Detection Based on Evolving Circular Domains Coverage

The aim of this paper is to improve the accuracy of copy-move forgery de...

Shilin Lu, et al. ∙

research

∙ 08/18/2021

CollaborER: A Self-supervised Entity Resolution Framework Using Multi-features Collaboration

Entity Resolution (ER) aims to identify whether two tuples refer to the ...

Congcong Ge, et al. ∙

research

∙ 08/11/2021

LargeEA: Aligning Entities for Large-scale Knowledge Graphs

Entity alignment (EA) aims to find equivalent entities in different know...

Congcong Ge, et al. ∙

research

∙ 06/17/2021

Pre-treatment of outliers and anomalies in plant data: Methodology and case study of a Vacuum Distillation Unit

Data pre-treatment plays a significant role in improving data quality, t...

Kamil Oster, et al. ∙

research

∙ 06/04/2021

Decoupled Dialogue Modeling and Semantic Parsing for Multi-Turn Text-to-SQL

Recently, Text-to-SQL for multi-turn dialogue has attracted great intere...

Zhi Chen, et al. ∙

research

∙ 06/02/2021

LGESQL: Line Graph Enhanced Text-to-SQL Model with Mixed Local and Non-Local Relations

This work aims to tackle the challenging heterogeneous graph encoding pr...

Ruisheng Cao, et al. ∙

research

∙ 04/10/2021

ShadowGNN: Graph Projection Neural Network for Text-to-SQL Parser

Given a database schema, Text-to-SQL aims to translate a natural languag...

Zhi Chen, et al. ∙

research

∙ 03/12/2021

Game-theoretic Understanding of Adversarially Learned Features

This paper aims to understand adversarial attacks and defense from a new...

Jie Ren, et al. ∙

research

∙ 02/25/2021

LET: Linguistic Knowledge Enhanced Graph Transformer for Chinese Short Text Matching

Chinese short text matching is a fundamental task in natural language pr...

Boer Lyu, et al. ∙

research

∙ 01/23/2021

WebSRC: A Dataset for Web-Based Structural Reading Comprehension

Web search is an essential way for human to obtain information, but it's...

Lu Chen, et al. ∙

research

∙ 01/21/2021

Comparison and Improvement for Delay Analysis Approaches: Theoretical Models and Experimental Tests

Computer network tends to be subjected to the proliferation of mobile de...

Yue Hong Gao, et al. ∙

research

∙ 01/04/2021

Searching Personalized k-wing in Large and Dynamic Bipartite Graphs

There are extensive studies focusing on the application scenario that al...

Aman Abidi, et al. ∙

research

∙ 12/15/2020

FAWA: Fast Adversarial Watermark Attack on Optical Character Recognition (OCR) Systems

Deep neural networks (DNNs) significantly improved the accuracy of optic...

Lu Chen, et al. ∙

research

∙ 11/25/2020

Improving Redundancy Availability: Dynamic Subtasks Modulation for Robots with Redundancy Insufficiency

This work presents an approach for robots to suitably carry out complex ...

Lu Chen, et al. ∙

research

∙ 10/14/2020

An Investigation on Different Underlying Quantization Schemes for Pre-trained Language Models

Recently, pre-trained language models like BERT have shown promising per...

Zihan Zhao, et al. ∙

research

∙ 09/24/2020

SOUP: Spatial-Temporal Demand Forecasting and Competitive Supply

We consider a setting with an evolving set of requests for transportatio...

Bolong Zheng, et al. ∙

research

∙ 09/22/2020

CREDIT: Coarse-to-Fine Sequence Generation for Dialogue State Tracking

In dialogue systems, a dialogue state tracker aims to accurately find a ...

Zhi Chen, et al. ∙

research

∙ 09/22/2020

Dual Learning for Dialogue State Tracking

In task-oriented multi-turn dialogue systems, dialogue state refers to a...

Zhi Chen, et al. ∙

research

∙ 09/22/2020

Efficiently Finding a Maximal Clique Summary via Effective Sampling

Maximal clique enumeration (MCE) is a fundamental problem in graph theor...

Xiaofan Li, et al. ∙

research

∙ 09/22/2020

Structured Hierarchical Dialogue Policy with Graph Neural Networks

Dialogue policy training for composite tasks, such as restaurant reserva...

Zhi Chen, et al. ∙

research

∙ 09/22/2020

Distributed Structured Actor-Critic Reinforcement Learning for Universal Dialogue Management

The task-oriented spoken dialogue system (SDS) aims to assist a human us...

Zhi Chen, et al. ∙

research

∙ 09/22/2020

Deep Reinforcement Learning for On-line Dialogue State Tracking

Dialogue state tracking (DST) is a crucial module in dialogue management...

Zhi Chen, et al. ∙

research

∙ 09/21/2020

Vector Projection Network for Few-shot Slot Tagging in Natural Language Understanding

Few-shot slot tagging becomes appealing for rapid domain transfer and ad...

Su Zhu, et al. ∙

research

∙ 09/07/2020

Robust Spoken Language Understanding with RL-based Value Error Recovery

Spoken Language Understanding (SLU) aims to extract structured semantic ...

Chen Liu, et al. ∙

research

∙ 07/17/2020

Efficient Exact Algorithms for Maximum Balanced Biclique Search in Bipartite Graphs

Given a bipartite graph, the maximum balanced biclique (MBB) problem, di...

Lu Chen, et al. ∙

research

∙ 05/27/2020

Unsupervised Dual Paraphrasing for Two-stage Semantic Parsing

One daunting problem for semantic parsing is the scarcity of annotation....

Ruisheng Cao, et al. ∙

research

∙ 05/24/2020

Jointly Encoding Word Confusion Network and Dialogue Context with BERT for Spoken Language Understanding

Spoken Language Understanding (SLU) converts hypotheses from automatic s...

Chen Liu, et al. ∙

research

∙ 05/07/2020

Indexing Metric Spaces for Exact Similarity Search

With the continued digitalization of societal processes, we are seeing a...

Lu Chen, et al. ∙

research

∙ 04/30/2020

Semi-Supervised Text Simplification with Back-Translation and Asymmetric Denoising Autoencoders

Text simplification (TS) rephrases long sentences into simplified varian...

Yanbin Zhao, et al. ∙

research

∙ 04/26/2020

CrowdTSC: Crowd-based Neural Networks for Text Sentiment Classification

Sentiment classification is a fundamental task in content analysis. Alth...

Keyu Yang, et al. ∙

research

∙ 04/07/2020

Efficient Context and Schema Fusion Networks for Multi-Domain Dialogue State Tracking

Dialogue state tracking (DST) aims at estimating the current dialogue st...

Su Zhu, et al. ∙

Lu Chen

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