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 +1
1 code implementation • COLING 2022 • Jiawei Wang, Hai Zhao
ArT is totally unsupervised and KBs-free.
no code implementations • 20 May 2024 • Jiawei Wang, Kai Hu, Qiang Huo
Document layout analysis (DLA) is crucial for understanding the physical layout and logical structure of documents, serving information retrieval, document summarization, knowledge extraction, etc.
no code implementations • 16 May 2024 • Jing Yang, Xiao Wang, Yutong Wang, Jiawei Wang, Fei-Yue Wang
To achieve more accurate TKG reasoning, we propose an attention masking-based contrastive event network (AMCEN) with local-global temporal patterns for the two-stage prediction of future events.
no code implementations • 13 Mar 2024 • ZiQi Liang, Haoxiang Shi, Jiawei Wang, Keda Lu
Recurrent neural networks have become a standard modeling technique for sequential data in TTS systems and are widely used.
no code implementations • 22 Feb 2024 • Jiawei Wang, Renhe Jiang, Chuang Yang, Zengqing Wu, Makoto Onizuka, Ryosuke Shibasaki, Noboru Koshizuka, Chuan Xiao
This paper introduces a novel approach using Large Language Models (LLMs) integrated into an agent framework for flexible and effective personal mobility generation.
no code implementations • 2 Feb 2024 • Jiawei Wang, Yuchen Zhang, Jiaxin Zou, Yan Zeng, Guoqiang Wei, Liping Yuan, Hang Li
Its robust motion controllability is validated by drastic increases in the bounding box alignment metric.
1 code implementation • 22 Jan 2024 • Jiawei Wang, Kai Hu, Zhuoyao Zhong, Lei Sun, Qiang Huo
Our end-to-end system achieves state-of-the-art performance on two large-scale document layout analysis datasets (PubLayNet and DocLayNet), a high-quality hierarchical document structure reconstruction dataset (HRDoc), and our Comp-HRDoc benchmark.
no code implementations • 17 Jan 2024 • Kai Hu, Jiawei Wang, WeiHong Lin, Zhuoyao Zhong, Lei Sun, Qiang Huo
This unified approach allows for the definition of various relation types and effectively tackles hierarchical relationships in form-like documents.
no code implementations • 17 Jan 2024 • Jiawei Wang, Shunchi Zhang, Kai Hu, Chixiang Ma, Zhuoyao Zhong, Lei Sun, Qiang Huo
Contextual Text Block Detection (CTBD) is the task of identifying coherent text blocks within the complexity of natural scenes.
1 code implementation • 25 Dec 2023 • Wenzhang Liu, Wenzhe Cai, Kun Jiang, Guangran Cheng, Yuanda Wang, Jiawei Wang, Jingyu Cao, Lele Xu, Chaoxu Mu, Changyin Sun
In this paper, we present XuanCe, a comprehensive and unified deep reinforcement learning (DRL) library designed to be compatible with PyTorch, TensorFlow, and MindSpore.
no code implementations • 28 Nov 2023 • Jiawei Wang, Changjian Li
Sketch semantic segmentation is a well-explored and pivotal problem in computer vision involving the assignment of pre-defined part labels to individual strokes.
no code implementations • 18 Sep 2023 • Jie Li, Jiawei Wang, Shengbo Eben Li, Keqiang Li
Connected and automated vehicles (CAVs) technologies promise to attenuate undesired traffic disturbances.
no code implementations • 4 Sep 2023 • Shuai Li, Haotian Zheng, Jiawei Wang, Chaoyi Chen, Qing Xu, Jianqiang Wang, Keqiang Li
In mixed traffic where human-driven vehicles (HDVs) also exist, existing research mostly focuses on "looking ahead" (i. e., the CAVs receive information from preceding vehicles) strategies for CAVs, while recent work reveals that "looking behind" (i. e., the CAVs receive information from their rear vehicles) strategies might provide more possibilities for CAV longitudinal control.
1 code implementation • 8 Jun 2023 • Shizhe Diao, Tianyang Xu, Ruijia Xu, Jiawei Wang, Tong Zhang
Pre-trained language models (PLMs) demonstrate excellent abilities to understand texts in the generic domain while struggling in a specific domain.
no code implementations • 23 Apr 2023 • Yiming Gao, Feiyu Liu, Liang Wang, Zhenjie Lian, Weixuan Wang, Siqin Li, Xianliang Wang, Xianhan Zeng, Rundong Wang, Jiawei Wang, Qiang Fu, Wei Yang, Lanxiao Huang, Wei Liu
MOBA games, e. g., Dota2 and Honor of Kings, have been actively used as the testbed for the recent AI research on games, and various AI systems have been developed at the human level so far.
no code implementations • 21 Mar 2023 • Jiawei Wang, WeiHong Lin, Chixiang Ma, Mingze Li, Zheng Sun, Lei Sun, Qiang Huo
Unlike previous methods, we formulate table separation line prediction as a line regression problem instead of an image segmentation problem and propose a new two-stage dynamic queries enhanced DETR based separation line regression approach, named DQ-DETR, to predict separation lines from table images directly.
2 code implementations • 22 Nov 2022 • Yan Zeng, Xinsong Zhang, Hang Li, Jiawei Wang, Jipeng Zhang, Wangchunshu Zhou
Vision language pre-training aims to learn alignments between vision and language from a large amount of data.
Ranked #1 on Cross-Modal Retrieval on Flickr30k (using extra training data)
1 code implementation • 24 Oct 2022 • Jiawei Wang, Yingzhao Lian, Yuning Jiang, Qing Xu, Keqiang Li, Colin N. Jones
This algorithm achieves both computation and communication efficiency, as well as trajectory data privacy, through parallel calculation.
no code implementations • 9 Aug 2022 • WeiHong Lin, Zheng Sun, Chixiang Ma, Mingze Li, Jiawei Wang, Lei Sun, Qiang Huo
We present a new table structure recognition (TSR) approach, called TSRFormer, to robustly recognizing the structures of complex tables with geometrical distortions from various table images.
Ranked #2 on Table Recognition on PubTabNet (TEDS-Struct metric)
1 code implementation • 15 Jun 2022 • Shizhe Diao, Wangchunshu Zhou, Xinsong Zhang, Jiawei Wang
In this work, we disclose the potential of symmetric generative vision-language pre-training in learning to write and paint concurrently, and propose a new unified modal model, named DaVinci, trained with prefix language modeling and prefix image modeling, a simple generative self-supervised objective on image-text pairs.
no code implementations • 8 May 2022 • Jiawei Wang, Ruiyang Zhou, Fengying Wei
The role of psychological effects makes the contact between adult and environmental toxins a functional form, while the contact between larvae and environmental toxins is linear.
no code implementations • Findings (NAACL) 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.
1 code implementation • 7 Apr 2022 • Jiawei Wang, Yang Zheng, Jianghong Dong, Chaoyi Chen, Mengchi Cai, Keqiang Li, Qing Xu
In this paper, we present the first experimental results of data-driven predictive control for connected and autonomous vehicles (CAVs) in dissipating traffic waves.
1 code implementation • 20 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.
1 code implementation • 26 Dec 2021 • Jiawei Wang, Hai Zhao
In detail, our model first focuses on key parts in the given context, and then generates highly related knowledge on such a basis in an association way like human thinking.
no code implementations • 1 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.
no code implementations • 2 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.
no code implementations • 19 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.
no code implementations • 29 Sep 2021 • Jiawei Wang, Konghuai Shen, Shao Ming, Jun Yin, Ming Liu
In recent years, a great progress has been witnessed for cross-domain object detection.
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.
Ranked #7 on Math Word Problem Solving on Math23K
3 code implementations • 25 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.
no code implementations • 2 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.
4 code implementations • 18 Mar 2021 • Mengchi Cai, Qing Xu, Chaoyi Chen, Jiawei Wang, Keqiang Li, Jianqiang Wang, Qianying Zhu
Multi-vehicle coordinated decision making and control can improve traffic efficiency while guaranteeing driving safety.
1 code implementation • 4 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
1 code implementation • 8 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.
no code implementations • 21 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.
no code implementations • 8 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.
1 code implementation • 23 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
no code implementations • 6 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.
no code implementations • 10 Oct 2018 • Jiawei Wang, Zhaoshui He, Chengjian Feng, Zhouping Zhu, Qinzhuang Lin, Jun Lv, Shengli Xie
Data collection and annotation are time-consuming in machine learning, expecially for large scale problem.
no code implementations • 29 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.
no code implementations • 3 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.