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Artificial Intelligence

First CAAI International Conference, CICAI 2021, Hangzhou, China, June 5–6, 2021, Proceedings, Part II

  • Conference proceedings
  • © 2021

Overview

Editors:
  1. Lu Fang

    1. Tsinghua University, Beijing, China

  2. Yiran Chen

    1. Duke University, Durham, USA

  3. Guangtao Zhai

    1. Shanghai Jiao Tong University, Shanghai, China

  4. Jane Wang

    1. University of British Columbia, Vancouver, Canada

  5. Ruiping Wang

    1. Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China

  6. Weisheng Dong

    1. Xidian University, Xi'an, China

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 13070)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Included in the following conference series:

Conference proceedings info: CICAI 2021.

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About this book

This two-volume set LNCS 13069-13070 constitutes selected papers presented at the First CAAI International Conference on Artificial Intelligence, held in Hangzhou, China, in June 2021. Due to the COVID-19 pandemic the conference was partially held online. 

The 105 papers were thoroughly reviewed and selected from 307 qualified submissions. The papers are organized in topical sections on applications of AI; computer vision; data mining; explainability, understandability, and verifiability of AI; machine learning; natural language processing; robotics; and other AI related topics.

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Table of contents (35 papers)

  1. Front Matter

    Pages i-xx
    Download chapter PDF

  2. Explainability, Understandability, and Verifiability of AI

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. Reducing Adversarial Examples Through Boundary Methods

      • Xinyi Hu, Zhengming Zhang, Zhouyong Liu, Zhiwei Han, Luxi Yang
      Pages 3-15

    3. Explainable AI for Classification Using Probabilistic Logic Inference

      • Xiuyi Fan, Siyuan Liu
      Pages 16-26

    4. A Consistency Regularization for Certified Robust Neural Networks

      • Mengting Xu, Tao Zhang, Zhongnian Li, Daoqiang Zhang
      Pages 27-38

    5. Fooling Neural Network Interpretations: Adversarial Noise to Attack Images

      • Qianqian Song, Xiangwei Kong, Ziming Wang
      Pages 39-51

  3. Machine Learning

    1. Front Matter

      Pages 53-53
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    2. BPN: Bidirectional Path Network for Instance Segmentation

      • Fan Xu, Lijuan Duan, Yuanhua Qiao
      Pages 55-66

    3. Claw U-Net: A UNet Variant Network with Deep Feature Concatenation for Scleral Blood Vessel Segmentation

      • Chang Yao, Jingyu Tang, Menghan Hu, Yue Wu, Wenyi Guo, Qingli Li et al.
      Pages 67-78

    4. Attribute and Identity Are Equally Important: Person Re-identification with More Powerful Pedestrian Attributes

      • Shuangye Chen, Kai Xu
      Pages 79-90

    5. Disentangled Variational Information Bottleneck for Multiview Representation Learning

      • Feng Bao
      Pages 91-102

    6. Real-Time Collision Warning and Status Classification Based Camera and Millimeter Wave-Radar Fusion

      • Lei Fan, Qi Yang, Yang Zeng, Bin Deng, Hongqiang Wang
      Pages 103-114

    7. AD-DARTS: Adaptive Dropout for Differentiable Architecture Search

      • Ziwei Zheng, Le Yang, Liejun Wang, Fan Li
      Pages 115-126

    8. An Improved DDPG Algorithm with Barrier Function for Lane-Change Decision-Making of Intelligent Vehicles

      • Tianshuo Feng, Xin Xu, Xiaochuan Zhang, Xinglong Zhang
      Pages 127-139

    9. Self-organized Hawkes Processes

      • Shen Yuan, Hongteng Xu
      Pages 140-151

    10. Causal Inference with Heterogeneous Confounding Data: A Penalty Approach

      • Zhaofeng Lu, Bo Fu
      Pages 152-163

    11. Optimizing Federated Learning on Non-IID Data Using Local Shapley Value

      • Zuoqi Tang, Feifei Shao, Long Chen, Yunan Ye, Chao Wu, Jun Xiao
      Pages 164-175

    12. Boosting Few-Shot Learning with Task-Adaptive Multi-level Mixed Supervision

      • Duo Wang, Qianxia Ma, Ming Zhang, Tao Zhang
      Pages 176-187

    13. Learning Bilevel Sparse Regularized Neural Network

      • Xin Xu, Liangliang Zhang, Qi Kong
      Pages 188-199

  4. Natural Language Processing

    1. Front Matter

      Pages 201-201
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Other volumes

  1. Artificial Intelligence

  2. Artificial Intelligence

Editors and Affiliations

  • Tsinghua University, Beijing, China

    Lu Fang

  • Duke University, Durham, USA

    Yiran Chen

  • Shanghai Jiao Tong University, Shanghai, China

    Guangtao Zhai

  • University of British Columbia, Vancouver, Canada

    Jane Wang

  • Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China

    Ruiping Wang

  • Xidian University, Xi'an, China

    Weisheng Dong

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