Search Results for author: Jiawei Wang

Found 24 papers, 9 papers with code

What If Sentence-hood is Hard to Define: A Case Study in Chinese Reading Comprehension

no code implementations Findings (EMNLP) 2021 Jiawei Wang, Hai Zhao, Yinggong Zhao, Libin Shen

Machine reading comprehension (MRC) is a challenging NLP task for it requires to carefully deal with all linguistic granularities from word, sentence to passage.

Chinese Reading Comprehension Machine Reading Comprehension

Prefix Language Models are Unified Modal Learners

1 code implementation15 Jun 2022 Shizhe Diao, Wangchunshu Zhou, Xinsong Zhang, Jiawei Wang

With the success of vision-language pre-training, we have witnessed the state-of-the-art has been pushed on multi-modal understanding and generation.

Image Generation Language Modelling +1

Single-species population models with age structure and psychological effect in a polluted environment

no code implementations8 May 2022 Fengying Wei, Jiawei Wang, Ruiyang Zhou

This paper considers a single-population model with age structure and psychological effects in a polluted environment.

CODE-MVP: Learning to Represent Source Code from Multiple Views with Contrastive Pre-Training

no code implementations4 May 2022 Xin Wang, Yasheng Wang, Yao Wan, Jiawei Wang, Pingyi Zhou, Li Li, Hao Wu, Jin Liu

Specifically, we first extract multiple code views using compiler tools, and learn the complementary information among them under a contrastive learning framework.

Contrastive Learning Defect Detection +1

Experimental Validation of DeeP-LCC for Dissipating Stop-and-Go Waves in Mixed Traffic

1 code implementation7 Apr 2022 Jiawei Wang, Yang Zheng, Jianghong Dong, Chaoyi Chen, Mengchi Cai, Keqiang Li, Qing Xu

We present results on the experimental validation of leading cruise control (LCC) for connected and autonomous vehicles (CAVs).

Autonomous Vehicles Traffic Prediction

DeeP-LCC: Data-EnablEd Predictive Leading Cruise Control in Mixed Traffic Flow

1 code implementation20 Mar 2022 Jiawei Wang, Yang Zheng, Keqiang Li, Qing Xu

For the control of connected and autonomous vehicles (CAVs), most existing methods focus on model-based strategies.

Autonomous Vehicles

Experimental Validation of Multi-lane Formation Control for Connected and Automated Vehicles in Multiple Scenarios

no code implementations1 Dec 2021 Mengchi Cai, Qing Xu, Chunying Yang, Jianghong Dong, Chaoyi Chen, Jiawei Wang, Jianqiang Wang, Keqiang Li

Formation control methods of connected and automated vehicles have been proposed to smoothly switch the structure of vehicular formations in different scenarios.

Robust Dynamic Bus Control: A Distributional Multi-agent Reinforcement Learning Approach

no code implementations2 Nov 2021 Jiawei Wang, Lijun Sun

However, the operation of a bus fleet is unstable in nature, and bus bunching has become a common phenomenon that undermines the efficiency and reliability of bus systems.

Continuous Control Meta-Learning +2

Data-Driven Predictive Control for Connected and Autonomous Vehicles in Mixed Traffic

no code implementations19 Oct 2021 Jiawei Wang, Yang Zheng, Qing Xu, Keqiang Li

In this paper, instead of relying on a parametric car-following model, we introduce a data-driven predictive control strategy to achieve safe and optimal control for CAVs in mixed traffic.

Autonomous Vehicles

Recall and Learn: A Memory-augmented Solver for Math Word Problems

1 code implementation Findings (EMNLP) 2021 Shifeng Huang, Jiawei Wang, Jiao Xu, Da Cao, Ming Yang

Specifically, given a math word problem, the model first retrieves similar questions by a memory module and then encodes the unsolved problem and each retrieved question using a representation module.

Multi-lane Unsignalized Intersection Cooperation with Flexible Lane Direction based on Multi-vehicle Formation Control

2 code implementations25 Aug 2021 Mengchi Cai, Qing Xu, Chaoyi Chen, Jiawei Wang, Keqiang Li, Jianqiang Wang, Xiangbin Wu

Unsignalized intersection cooperation of connected and automated vehicles (CAVs) is able to eliminate green time loss of signalized intersections and improve traffic efficiency.

Reducing Bus Bunching with Asynchronous Multi-Agent Reinforcement Learning

no code implementations2 May 2021 Jiawei Wang, Lijun Sun

However, due to the significant uncertainties in passenger demand and traffic conditions, bus operation is unstable in nature and bus bunching has become a common phenomenon that undermines the reliability and efficiency of bus services.

Graph Attention Multi-agent Reinforcement Learning +1

Restoring Execution Environments of Jupyter Notebooks

1 code implementation4 Mar 2021 Jiawei Wang, Li Li, Andreas Zeller

More than ninety percent of published Jupyter notebooks do not state dependencies on external packages.

Software Engineering

Leading Cruise Control in Mixed Traffic Flow: System Modeling, Controllability, and String Stability

1 code implementation8 Dec 2020 Jiawei Wang, Yang Zheng, Chaoyi Chen, Qing Xu, Keqiang Li

Most existing strategies for CAVs' longitudinal control focus on downstream traffic conditions, but neglect the impact of CAVs' behaviors on upstream traffic flow.

Autonomous Vehicles

NeuroDiff: Scalable Differential Verification of Neural Networks using Fine-Grained Approximation

no code implementations21 Sep 2020 Brandon Paulsen, Jingbo Wang, Jiawei Wang, Chao Wang

Unfortunately, existing methods either focus on verifying a single network or rely on loose approximations to prove the equivalence of two networks.

Cooperative Formation of Autonomous Vehicles in Mixed Traffic Flow: Beyond Platooning

no code implementations8 Sep 2020 Keqiang Li, Jiawei Wang, Yang Zheng

In mixed traffic flow consisting of AVs and human-driven vehicles (HDVs), the prevailing platooning of multiple AVs is not the only choice for cooperative formation.

Autonomous Vehicles

Leading Cruise Control in Mixed Traffic Flow

1 code implementation23 Jul 2020 Jiawei Wang, Yang Zheng, Chaoyi Chen, Qing Xu, Keqiang Li

Numerical studies confirm the potential of LCC to strengthen the capability of CAVs in suppressing traffic instabilities and smoothing traffic flow.

Systems and Control Systems and Control Optimization and Control

Efficient Connected and Automated Driving System with Multi-agent Graph Reinforcement Learning

no code implementations6 Jul 2020 Tianyu Shi, Jiawei Wang, Yuankai Wu, Luis Miranda-Moreno, Lijun Sun

Instead of learning a reliable behavior for ego automated vehicle, we focus on how to improve the outcomes of the total transportation system by allowing each automated vehicle to learn cooperation with each other and regulate human-driven traffic flow.

Decision Making reinforcement-learning

An Unsupervised Feature Learning Approach to Improve Automatic Incident Detection

no code implementations29 Oct 2013 Jimmy SJ. Ren, Wei Wang, Jiawei Wang, Stephen Liao

Sophisticated automatic incident detection (AID) technology plays a key role in contemporary transportation systems.

General Classification

Exploring The Contribution of Unlabeled Data in Financial Sentiment Analysis

no code implementations3 Aug 2013 Jimmy SJ. Ren, Wei Wang, Jiawei Wang, Stephen Shaoyi Liao

We argue that if the bias-variance trade-off is to be better balanced by a more effective feature selection method unlabeled data is very likely to boost the classification performance.

Classification feature selection +3

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