Search Results for author: Lu Chen

Found 77 papers, 29 papers with code

CSS: A Large-scale Cross-schema Chinese Text-to-SQL Medical Dataset

1 code implementation25 May 2023 Hanchong Zhang, Jieyu Li, Lu Chen, Ruisheng Cao, Yunyan Zhang, Yu Huang, Yefeng Zheng, Kai Yu

Furthermore, we present CSS, a large-scale CrosS-Schema Chinese text-to-SQL dataset, to carry on corresponding studies.

Benchmarking Text-To-SQL

Mobile-Env: A Universal Platform for Training and Evaluation of Mobile Interaction

1 code implementation14 May 2023 Danyang Zhang, Lu Chen, Kai Yu

To help the research of InfoUI interaction, a novel platform Mobile-Env is presented in this paper.

Language Modelling

Knowledge-refined Denoising Network for Robust Recommendation

1 code implementation28 Apr 2023 Xinjun Zhu, Yuntao Du, YUREN MAO, Lu Chen, Yujia Hu, Yunjun Gao

Knowledge graph (KG), which contains rich side information, becomes an essential part to boost the recommendation performance and improve its explainability.

Denoising Knowledge-Aware Recommendation +1

Towards Explainable Collaborative Filtering with Taste Clusters Learning

1 code implementation27 Apr 2023 Yuntao Du, Jianxun Lian, Jing Yao, Xiting Wang, Mingqi Wu, Lu Chen, Yunjun Gao, Xing Xie

In recent decades, there have been significant advancements in latent embedding-based CF methods for improved accuracy, such as matrix factorization, neural collaborative filtering, and LightGCN.

Collaborative Filtering Decision Making +3

SEA: A Scalable Entity Alignment System

1 code implementation14 Apr 2023 Junyang Wu, Tianyi Li, Lu Chen, Yunjun Gao, Ziheng Wei

To enhance the usability of GNN-based EA models in real-world applications, we present SEA, a scalable entity alignment system that enables to (i) train large-scale GNNs for EA, (ii) speed up the normalization and the evaluation process, and (iii) report clear results for users to estimate different models and parameter settings.

Entity Alignment Knowledge Graphs

HarsanyiNet: Computing Accurate Shapley Values in a Single Forward Propagation

no code implementations4 Apr 2023 Lu Chen, Siyu Lou, Keyan Zhang, Jin Huang, Quanshi Zhang

The HarsanyiNet is designed on the theoretical foundation that the Shapley value can be reformulated as the redistribution of Harsanyi interactions encoded by the network.

SparDL: Distributed Deep Learning Training with Efficient Sparse Communication

1 code implementation3 Apr 2023 Minjun Zhao, Yichen Yin, YUREN MAO, Lu Chen, Yunjun Gao

Top-$k$ sparsification has recently been widely used to reduce the communication volume in distributed deep learning; however, due to Gradient Accumulation (GA) dilemma, the performance of top-$k$ sparsification is still limited.

Multiple Thinking Achieving Meta-Ability Decoupling for Object Navigation

no code implementations3 Feb 2023 Ronghao Dang, Lu Chen, Liuyi Wang, Zongtao He, Chengju Liu, Qijun Chen

We propose a meta-ability decoupling (MAD) paradigm, which brings together various object navigation methods in an architecture system, allowing them to mutually enhance each other and evolve together.

Unsupervised Entity Alignment for Temporal Knowledge Graphs

1 code implementation1 Feb 2023 Xiaoze Liu, Junyang Wu, Tianyi Li, Lu Chen, Yunjun Gao

State-of-the-art time-aware EA studies have suggested that the temporal information of TKGs facilitates the performance of EA.

Data Integration Entity Alignment +2

On the Structural Generalization in Text-to-SQL

no code implementations12 Jan 2023 Jieyu Li, Lu Chen, Ruisheng Cao, Su Zhu, Hongshen Xu, Zhi Chen, Hanchong Zhang, Kai Yu

Exploring the generalization of a text-to-SQL parser is essential for a system to automatically adapt the real-world databases.


Estimator: An Effective and Scalable Framework for Transportation Mode Classification over Trajectories

no code implementations11 Dec 2022 Danlei Hu, Ziquan Fang, Hanxi Fang, Tianyi Li, Chunhui Shen, Lu Chen, Yunjun Gao

Transportation mode classification, the process of predicting the class labels of moving objects transportation modes, has been widely applied to a variety of real world applications, such as traffic management, urban computing, and behavior study.

Classification Management

DM-NeRF: 3D Scene Geometry Decomposition and Manipulation from 2D Images

1 code implementation15 Aug 2022 Bing Wang, Lu Chen, Bo Yang

In this paper, we study the problem of 3D scene geometry decomposition and manipulation from 2D views.

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

no code implementations24 May 2022 Binwei Yao, Chao Shi, Likai Zou, Lingfeng Dai, Mengyue Wu, Lu Chen, Zhen Wang, Kai Yu

In a depression-diagnosis-directed clinical session, doctors initiate a conversation with ample emotional support that guides the patients to expose their symptoms based on clinical diagnosis criteria.

Response Generation

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

no code implementations23 May 2022 Liangtai Sun, Xingyu Chen, Lu Chen, Tianle Dai, Zichen Zhu, Kai Yu

However, this API-based architecture greatly limits the information-searching capability of intelligent assistants and may even lead to task failure if TOD-specific APIs are not available or the task is too complicated to be executed by the provided APIs.


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

2 code implementations20 May 2022 Yunjun Gao, Xiaoze Liu, Junyang Wu, Tianyi Li, Pengfei Wang, Lu Chen

To tackle this challenge, we present ClusterEA, a general framework that is capable of scaling up EA models and enhancing their results by leveraging normalization methods on mini-batches with a high entity equivalent rate.

Entity Alignment Entity Embeddings +1

Self-Guided Learning to Denoise for Robust Recommendation

2 code implementations14 Apr 2022 Yunjun Gao, Yuntao Du, Yujia Hu, Lu Chen, Xinjun Zhu, Ziquan Fang, Baihua Zheng

Besides, our method can automatically switch its learning phase at the memorization point from memorization to self-guided learning, and select clean and informative memorized data via a novel adaptive denoising scheduler to improve the robustness.

Denoising Memorization +2

HAKG: Hierarchy-Aware Knowledge Gated Network for Recommendation

1 code implementation11 Apr 2022 Yuntao Du, Xinjun Zhu, Lu Chen, Baihua Zheng, Yunjun Gao

Furthermore, we propose a dual item embeddings design to represent and propagate collaborative signals and knowledge associations separately, and leverage the gated aggregation to distill discriminative information for better capturing user behavior patterns.

Knowledge-Aware Recommendation

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

1 code implementation8 Feb 2022 Yuntao Du, Xinjun Zhu, Lu Chen, Ziquan Fang, Yunjun Gao

Inspired by the success of meta-learning on scarce training samples, we propose a novel meta-learning based framework called MetaKG, which encompasses a collaborative-aware meta learner and a knowledge-aware meta learner, to capture meta users' preference and entities' knowledge for cold-start recommendations.


Linear Array Network for Low-light Image Enhancement

no code implementations22 Jan 2022 Keqi Wang, Ziteng Cui, Jieru Jia, Hao Xu, Ge Wu, Yin Zhuang, Lu Chen, Zhiguo Hu, Yuhua Qian

However, the convolution operation is based on a local sliding window mechanism, which is difficult to construct the long-range dependencies of the feature maps.

Low-Light Image Enhancement

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

1 code implementation17 Dec 2021 Ziquan Fang, Yuntao Du, Xinjun Zhu, Lu Chen, Yunjun Gao, Christian S. Jensen

Trajectory similarity computation has drawn massive attention, as it is core functionality in a wide range of applications such as ride-sharing, traffic analysis, and social recommendation.

Representation Learning

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

no code implementations9 Dec 2021 Su Zhu, Lu Chen, Ruisheng Cao, Zhi Chen, Qingliang Miao, Kai Yu

In this paper, we propose to improve prototypical networks with vector projection distance and abstract triangular Conditional Random Field (CRF) for the few-shot NLU.

intent-classification Intent Classification +5

FastSGD: A Fast Compressed SGD Framework for Distributed Machine Learning

no code implementations8 Dec 2021 Keyu Yang, Lu Chen, Zhihao Zeng, Yunjun Gao

Distributed ML models trained by SGD involve large amounts of gradient communication, which limits the scalability of distributed ML.

BIG-bench Machine Learning Quantization

Towards a Unified Game-Theoretic View of Adversarial Perturbations and Robustness

1 code implementation NeurIPS 2021 Jie Ren, Die Zhang, Yisen Wang, Lu Chen, Zhanpeng Zhou, Yiting Chen, Xu Cheng, Xin Wang, Meng Zhou, Jie Shi, Quanshi Zhang

This paper provides a unified view to explain different adversarial attacks and defense methods, i. e. the view of multi-order interactions between input variables of DNNs.

Adversarial Robustness

Machine Learning-Based Soft Sensors for Vacuum Distillation Unit

no code implementations19 Nov 2021 Kamil Oster, Stefan Güttel, Lu Chen, Jonathan L. Shapiro, Megan Jobson

Firstly, it is important to enhance the quality of both sets of data (laboratory measurements and physical sensors) in a data pre-processing stage (as described in Methodology section).

BIG-bench Machine Learning

A Unified Game-Theoretic Interpretation of Adversarial Robustness

1 code implementation5 Nov 2021 Jie Ren, Die Zhang, Yisen Wang, Lu Chen, Zhanpeng Zhou, Yiting Chen, Xu Cheng, Xin Wang, Meng Zhou, Jie Shi, Quanshi Zhang

This paper provides a unified view to explain different adversarial attacks and defense methods, \emph{i. e.} the view of multi-order interactions between input variables of DNNs.

Adversarial Robustness

Finding Materialized Models for Model Reuse

1 code implementation13 Oct 2021 Minjun Zhao, Lu Chen, Keyu Yang, Yuntao Du, Yunjun Gao

It uses a Gaussian mixture-based metric called separation degree to rank materialized models.

Model Selection Transfer Learning

Dissecting Local Properties of Adversarial Examples

no code implementations29 Sep 2021 Lu Chen, Renjie Chen, Hang Guo, Yuan Luo, Quanshi Zhang, Yisen Wang

Adversarial examples have attracted significant attention over the years, yet a sufficient understanding is in lack, especially when analyzing their performances in combination with adversarial training.

Adversarial Robustness

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

no code implementations9 Sep 2021 Shilin Lu, Xinghong Hu, Chengyou Wang, Lu Chen, Shulu Han, Yuejia Han

The aim of this paper is to improve the accuracy of copy-move forgery detection (CMFD) in image forensics by proposing a novel scheme and the main contribution is evolving circular domains coverage (ECDC) algorithm.

Image Forensics

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

no code implementations17 Jun 2021 Kamil Oster, Stefan Güttel, Jonathan L. Shapiro, Lu Chen, Megan Jobson

In this case, we used principal component analysis (PCA) with Hotelling's $T^2$ statistics to identify the long-term outliers.

Time Series Analysis

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

no code implementations NAACL 2021 Zhi Chen, Lu Chen, Yanbin Zhao, Ruisheng Cao, Zihan Xu, Su Zhu, Kai Yu

Given a database schema, Text-to-SQL aims to translate a natural language question into the corresponding SQL query.

Semantic Parsing Text-To-SQL

A Unified Game-Theoretic Interpretation of Adversarial Robustness

1 code implementation12 Mar 2021 Jie Ren, Die Zhang, Yisen Wang, Lu Chen, Zhanpeng Zhou, Yiting Chen, Xu Cheng, Xin Wang, Meng Zhou, Jie Shi, Quanshi Zhang

This paper provides a unified view to explain different adversarial attacks and defense methods, i. e. the view of multi-order interactions between input variables of DNNs.

Adversarial Robustness

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

1 code implementation25 Feb 2021 Boer Lyu, Lu Chen, Su Zhu, Kai Yu

Additionally, we adopt the word lattice graph as input to maintain multi-granularity information.

Text Matching

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

no code implementations21 Jan 2021 Yue Hong Gao, Xiao Hong, Hao Tian Yang, Lu Chen, Xiao Nan Zhang

The test results are compared with the theoretical results, analyzed and corrected, in order to verify the feasibility of our analysis model for the performance analysis of the actual network.

Networking and Internet Architecture Performance

Searching Personalized $k$-wing in Large and Dynamic Bipartite Graphs

no code implementations4 Jan 2021 Aman Abidi, Lu Chen, Rui Zhou, Chengfei Liu

By exploiting the discoveries, we propose novel algorithms for maintaining the two indices, which substantially reduces the cost of maintenance.

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

1 code implementation15 Dec 2020 Lu Chen, Jiao Sun, Wei Xu

In both letter-level and word-level attacks, our experiments show that in addition to natural appearance, FAWA achieves a 100% attack success rate with 60% less perturbations and 78% fewer iterations on average.

Optical Character Recognition (OCR)

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

no code implementations14 Oct 2020 Zihan Zhao, Yuncong Liu, Lu Chen, Qi Liu, Rao Ma, Kai Yu

Recently, pre-trained language models like BERT have shown promising performance on multiple natural language processing tasks.


SOUP: Spatial-Temporal Demand Forecasting and Competitive Supply

no code implementations24 Sep 2020 Bolong Zheng, Qi Hu, Lingfeng Ming, Jilin Hu, Lu Chen, Kai Zheng, Christian S. Jensen

In this setting, an assignment authority is to assign agents to requests such that the average idle time of the agents is minimized.

Databases Signal Processing

Dual Learning for Dialogue State Tracking

no code implementations22 Sep 2020 Zhi Chen, Lu Chen, Yanbin Zhao, Su Zhu, Kai Yu

In task-oriented multi-turn dialogue systems, dialogue state refers to a compact representation of the user goal in the context of dialogue history.

Dialogue State Tracking

Deep Reinforcement Learning for On-line Dialogue State Tracking

no code implementations22 Sep 2020 Zhi Chen, Lu Chen, Xiang Zhou, Kai Yu

To the best of our knowledge, this is the first effort to optimize the DST module within DRL framework for on-line task-oriented spoken dialogue systems.

Dialogue Management Dialogue State Tracking +4

Distributed Structured Actor-Critic Reinforcement Learning for Universal Dialogue Management

no code implementations22 Sep 2020 Zhi Chen, Lu Chen, Xiaoyuan Liu, Kai Yu

The task-oriented spoken dialogue system (SDS) aims to assist a human user in accomplishing a specific task (e. g., hotel booking).

Decision Making Dialogue Management +3

Structured Hierarchical Dialogue Policy with Graph Neural Networks

no code implementations22 Sep 2020 Zhi Chen, Xiaoyuan Liu, Lu Chen, Kai Yu

A novel ComNet is proposed to model the structure of a hierarchical agent.

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

no code implementations22 Sep 2020 Zhi Chen, Lu Chen, Zihan Xu, Yanbin Zhao, Su Zhu, Kai Yu

In dialogue systems, a dialogue state tracker aims to accurately find a compact representation of the current dialogue status, based on the entire dialogue history.

Dialogue State Tracking

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

1 code implementation21 Sep 2020 Su Zhu, Ruisheng Cao, Lu Chen, Kai Yu

Few-shot slot tagging becomes appealing for rapid domain transfer and adaptation, motivated by the tremendous development of conversational dialogue systems.

Few-Shot Learning Natural Language Understanding +2

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

1 code implementation24 May 2020 Chen Liu, Su Zhu, Zijian Zhao, Ruisheng Cao, Lu Chen, Kai Yu

In this paper, a novel BERT based SLU model (WCN-BERT SLU) is proposed to encode WCNs and the dialogue context jointly.

Spoken Language Understanding

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

no code implementations30 Apr 2020 Yanbin Zhao, Lu Chen, Zhi Chen, Kai Yu

When modeling simple and complex sentences with autoencoders, we introduce different types of noise into the training process.

Denoising Language Modelling +4

Index-based Solutions for Efficient Density Peak Clustering

no code implementations8 Feb 2020 Zafaryab Rasool, Rui Zhou, Lu Chen, Chengfei Liu, Jiajie Xu

Efficient query algorithms are proposed for these indices which significantly avoids irrelevant comparisons at the cost of space.

Attacking Optical Character Recognition (OCR) Systems with Adversarial Watermarks

no code implementations8 Feb 2020 Lu Chen, Wei Xu

Optical character recognition (OCR) is widely applied in real applications serving as a key preprocessing tool.

Optical Character Recognition (OCR)

AgentGraph: Towards Universal Dialogue Management with Structured Deep Reinforcement Learning

no code implementations27 May 2019 Lu Chen, Zhi Chen, Bowen Tan, Sishan Long, Milica Gasic, Kai Yu

Experiments show that AgentGraph models significantly outperform traditional reinforcement learning approaches on most of the 18 tasks of the PyDial benchmark.

Dialogue Management Management +4

Recurrent Multi-Graph Neural Networks for Travel Cost Prediction

no code implementations13 Nov 2018 Jilin Hu, Chenjuan Guo, Bin Yang, Christian S. Jensen, Lu Chen

Origin-destination (OD) matrices are often used in urban planning, where a city is partitioned into regions and an element (i, j) in an OD matrix records the cost (e. g., travel time, fuel consumption, or travel speed) from region i to region j.

DIAG-NRE: A Neural Pattern Diagnosis Framework for Distantly Supervised Neural Relation Extraction

1 code implementation ACL 2019 Shun Zheng, Xu Han, Yankai Lin, Peilin Yu, Lu Chen, Ling Huang, Zhiyuan Liu, Wei Xu

To demonstrate the effectiveness of DIAG-NRE, we apply it to two real-world datasets and present both significant and interpretable improvements over state-of-the-art methods.

Relation Extraction

Structured Dialogue Policy with Graph Neural Networks

no code implementations COLING 2018 Lu Chen, Bowen Tan, Sishan Long, Kai Yu

The proposed structured deep reinforcement learning is based on graph neural networks (GNN), which consists of some sub-networks, each one for a node on a directed graph.

Automatic Speech Recognition (ASR) Decision Making +5

Affordable On-line Dialogue Policy Learning

no code implementations EMNLP 2017 Cheng Chang, Runzhe Yang, Lu Chen, Xiang Zhou, Kai Yu

The key to building an evolvable dialogue system in real-world scenarios is to ensure an affordable on-line dialogue policy learning, which requires the on-line learning process to be safe, efficient and economical.

Dialogue Management

On-line Dialogue Policy Learning with Companion Teaching

no code implementations EACL 2017 Lu Chen, Runzhe Yang, Cheng Chang, Zihao Ye, Xiang Zhou, Kai Yu

On-line dialogue policy learning is the key for building evolvable conversational agent in real world scenarios.

Dialogue Management

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