Lecture Notes in Artificial Intelligence
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Lecture Notes in Artificial Intelligence 13031 Subseries of Lecture Notes in Computer Science Series Editors Randy Goebel University of Alberta, Edmonton, Canada Yuzuru Tanaka Hokkaido University, Sapporo, Japan Wolfgang Wahlster DFKI and Saarland University, Saarbrücken, Germany Founding Editor Jörg Siekmann DFKI and Saarland University, Saarbrücken, Germany
More information about this subseries at http://www.springer.com/series/1244
Duc Nghia Pham Thanaruk Theeramunkong
• •
Guido Governatori Fenrong Liu (Eds.)
•
PRICAI 2021:
Trends in
Artificial Intelligence
18th Pacific Rim
International Conference on Artificial Intelligence, PRICAI 2021
Hanoi, Vietnam, November 8–12, 2021
Proceedings, Part I
123Editors
Duc Nghia Pham Thanaruk Theeramunkong
MIMOS Berhad Sirindhorn International Institute of Science
Kuala Lumpur, Malaysia and Technology
Thammasat University
Guido Governatori Mueang Pathum Thani, Thailand
Data61
CSIRO Fenrong Liu
Brisbane, QLD, Australia Department of Philosophy
Tsinghua University
Beijing, China
ISSN 0302-9743 ISSN 1611-3349 (electronic)
Lecture Notes in Artificial Intelligence
ISBN 978-3-030-89187-9 ISBN 978-3-030-89188-6 (eBook)
https://doi.org/10.1007/978-3-030-89188-6
LNCS Sublibrary: SL7 – Artificial Intelligence
© Springer Nature Switzerland AG 2021
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This Springer imprint is published by the registered company Springer Nature Switzerland AG
The registered company address is: Gewerbestrasse 11, 6330 Cham, SwitzerlandPreface
These three-volume proceedings contain the papers presented at the 18th Pacific Rim
International Conference on Artificial Intelligence (PRICAI 2021) held virtually during
November 8–12, 2021, in Hanoi, Vietnam.
PRICAI, which was inaugurated in Tokyo in 1990, started out as a biennial inter-
national conference concentrating on artificial intelligence (AI) theories, technologies,
and applications in the areas of social and economic importance for Pacific Rim
countries. It provides a common forum for researchers and practitioners in various
branches of AI to exchange new ideas and share experience and expertise. Since then,
the conference has grown, both in participation and scope, to be a premier international
AI event for all major Pacific Rim nations as well as countries from all around the
world. In 2018, the PRICAI Steering Committee decided to hold PRICAI on an annual
basis starting from 2019.
This year, we received an overwhelming number of 382 submissions to both the
Main track (365 submissions) and the Industry special track (17 submissions). This
number was impressive considering that for the first time PRICAI was being held
virtually during a global pandemic situation. All submissions were reviewed and
evaluated with the same highest quality standard through a double-blind review pro-
cess. Each paper received at least two reviews, in most cases three, and in some cases
up to four. During the review process, discussions among the Program Committee
(PC) members in charge were carried out before recommendations were made, and
when necessary, additional reviews were sourced. Finally, the conference and program
co-chairs read the reviews and comments and made a final calibration for differences
among individual reviewer scores in light of the overall decisions. The entire Program
Committee (including PC members, external reviewers, and co-chairs) expended
tremendous effort to ensure fairness and consistency in the paper selection process.
Eventually, we accepted 92 regular papers and 28 short papers for oral presentation.
This gives a regular paper acceptance rate of 24.08% and an overall acceptance rate of
31.41%.
The technical program consisted of three tutorials and the main conference program.
The three tutorials covered hot topics in AI from “Collaborative Learning and Opti-
mization” and “Mechanism Design Powered by Social Interactions” to “Towards
Hyperdemocary: AI-enabled Crowd Consensus Making and Its Real-World Societal
Experiments”. All regular and short papers were orally presented over four days in
parallel and in topical program sessions. We were honored to have keynote presen-
tations by four distinguished researchers in the field of AI whose contributions have
crossed discipline boundaries: Mohammad Bennamoun (University of Western
Australia, Australia), Johan van Benthem (University of Amsterdam, The Netherlands;
Stanford University, USA; and Tsinghua University, China), Virginia Dignum (Umeå
University, Sweden), and Yutaka Matsuo (University of Tokyo, Japan). We were
grateful to them for sharing their insights on their latest research with us.vi Preface
The success of PRICAI 2021 would not be possible without the effort and support of
numerous people from all over the world. First, we would like to thank the authors, PC
members, and external reviewers for their time and efforts spent in making PRICAI
2021 a successful and enjoyable conference. We are also thankful to various fellow
members of the conference committee, without whose support and hard work PRICAI
2021 could not have been successful:
– Advisory Board: Hideyuki Nakashima, Abdul Sattar, and Dickson Lukose
– Industry Chair: Shiyou Qian
– Local/Virtual Organizing Chairs: Sankalp Khanna and Adila Alfa Krisnadhi
– Tutorial Chair: Guandong Xu
– Web and Publicity Chair: Md Khaled Ben Islam
– Workshop Chair: Dengji Zhao
We gratefully acknowledge the organizational support of several institutions
including Data61/CSIRO (Australia), Tsinghua University (China), MIMOS Berhad
(Malaysia), Thammasat University (Thailand), and Griffith University (Australia).
Finally, we thank Springer, Ronan Nugent (Editorial Director, Computer Science
Proceedings), and Anna Kramer (Assistant Editor, Computer Science Proceedings) for
their assistance in publishing the PRICAI 2021 proceedings as three volumes of its
Lecture Notes in Artificial Intelligence series.
November 2021 Duc Nghia Pham
Thanaruk Theeramunkong
Guido Governatori
Fenrong LiuOrganization
PRICAI Steering Committee
Steering Committee
Quan Bai University of Tasmania, Australia
Tru Hoang Cao The University of Texas Health Science Center
at Houston, USA
Xin Geng Southeast University, China
Guido Governatori Data61, CSIRO, Australia
Takayuki Ito Nagoya Institute of Technology, Japan
Byeong-Ho Kang University of Tasmania, Australia
M. G. M. Khan University of the South Pacific, Fiji
Sankalp Khanna Australian e-Health Research Centre, CSIRO, Australia
Dickson Lukose Monash University, Australia
Hideyuki Nakashima Sapporo City University, Japan
Abhaya Nayak Macquarie University, Australia
Seong Bae Park Kyung Hee University, South Korea
Duc Nghia Pham MIMOS Berhad, Malaysia
Abdul Sattar Griffith University, Australia
Alok Sharma RIKEN, Japan, and University of the South Pacific, Fiji
Thanaruk Theeramunkong Thammasat University, Thailand
Zhi-Hua Zhou Nanjing University, China
Honorary Members
Randy Goebel University of Alberta, Canada
Tu-Bao Ho Japan Advanced Institute of Science and Technology,
Japan
Mitsuru Ishizuka University of Tokyo, Japan
Hiroshi Motoda Osaka University, Japan
Geoff Webb Monash University, Australia
Albert Yeap Auckland University of Technology, New Zealand
Byoung-Tak Zhang Seoul National University, South Korea
Chengqi Zhang University of Technology Sydney, Australia
Conference Organizing Committee
General Chairs
Guido Governatori Data61, CSIRO, Australia
Fenrong Liu Tsinghua University, Chinaviii Organization
Program Chairs
Duc Nghia Pham MIMOS Berhad, Malaysia
Thanaruk Theeramunkong Thammasat University, Thailand
Local/Virtual Organizing Chairs
Sankalp Khanna Australian e-Health Research Centre, CSIRO, Australia
Adila Alfa Krisnadhi University of Indonesia, Indonesia
Workshop Chair
Dengji Zhao ShanghaiTech University, China
Tutorial Chair
Guandong Xu University of Technology Sydney, Australia
Industry Chair
Shiyou Qian Shanghai Jiao Tong University, China
Web and Publicity Chair
Md Khaled Ben Islam Griffith University, Australia
Advisory Board
Hideyuki Nakashima Sapporo City University, Japan
Abdul Sattar Griffith University, Australia
Dickson Lukose Monash University, Australia
Program Committee
Eriko Aiba The University of Electro-Communications, Japan
Patricia Anthony Lincoln University, New Zealand
Chutiporn Anutariya Asian Institute of Technology, Thailand
Mohammad Arshi Saloot MIMOS Berhad, Malaysia
Yun Bai University of Western Sydney, Australia
Chutima Beokhaimook Rangsit University, Thailand
Ateet Bhalla Independent Technology Consultant, India
Chih How Bong Universiti Malaysia Sarawak, Malaysia
Poonpong Boonbrahm Walailak University, Thailand
Aida Brankovic Australian e-Health Research Centre, CSIRO, Australia
Xiongcai Cai University of New South Wales, Australia
Tru Cao University of Texas Health Science Center at Houston,
USA
Hutchatai Chanlekha Kasetsart University, Thailand
Sapa Chanyachatchawan National Electronics and Computer Technology Center,
Thailand
Siqi Chen Tianjin University, ChinaOrganization ix
Songcan Chen Nanjing University of Aeronautics and Astronautics,
China
Wu Chen Southwest University, China
Yingke Chen Sichuan University, China
Wai Khuen Cheng Universiti Tunku Abdul Rahman, Malaysia
Boonthida Chiraratanasopha Yala Rajabhat University, Thailand
Phatthanaphong Mahasarakham University, Thailand
Chomphuwiset
Dan Corbett Optimodal Technologies, USA
Célia Da Costa Pereira Université Côte d’Azur, France
Jirapun Daengdej Assumption University, Thailand
Hoa Khanh Dam University of Wollongong, Australia
Xuan-Hong Dang IBM Watson Research, USA
Abdollah Dehzangi Rutgers University, USA
Sang Dinh Hanoi University of Science and Technology, Vietnam
Clare Dixon University of Manchester, UK
Shyamala Doraisamy University Putra Malaysia, Malaysia
Nuttanart Facundes King Mongkut’s University of Technology Thonburi,
Thailand
Eduardo Fermé Universidade da Madeira, Portugal
Somchart Fugkeaw Thammasat University, Thailand
Katsuhide Fujita Tokyo University of Agriculture and Technology,
Japan
Naoki Fukuta Shizuoka University, Japan
Marcus Gallagher University of Queensland, Australia
Dragan Gamberger Rudjer Boskovic Institute, Croatia
Wei Gao Nanjing University, China
Xiaoying Gao Victoria University of Wellington, New Zealand
Xin Geng Southeast University, China
Manolis Gergatsoulis Ionian University, Greece
Guido Governatori Data61, CSIRO, Australia
Alban Grastien Australian National University, Australia
Charles Gretton Australian National University, Australia
Fikret Gurgen Bogazici University, Turkey
Peter Haddawy Mahidol University, Thailand
Choochart Haruechaiyasak National Electronics and Computer Technology Center,
Thailand
Hamed Hassanzadeh Australian e-Health Research Centre, CSIRO, Australia
Tessai Hayama Nagaoka University of Technology, Japan
Juhua Hu University of Washington, USA
Xiaodi Huang Charles Sturt University, Australia
Van Nam Huynh Japan Advanced Institute of Science and Technology,
Japan
Norisma Idris University of Malaya, Malaysia
Mitsuru Ikeda Japan Advanced Institute of Science and Technology,
Japanx Organization
Masashi Inoue Tohoku Institute of Technology, Japan
Takayuki Ito Kyoto University, Japan
Sanjay Jain National University of Singapore, Singapore
Guifei Jiang Nankai University, China
Yichuan Jiang Southeast University, China
Nattagit Jiteurtragool Digital Government Development Agency, Thailand
Hideaki Kanai Japan Advanced Institute of Science and Technology,
Japan
Ryo Kanamori Nagoya University, Japan
Natsuda Kaothanthong Thammasat University, Thailand
Jessada Karnjana National Electronics and Computer Technology Center,
Thailand
C. Maria Keet University of Cape Town, South Africa
Gabriele Kern-Isberner Technische Universitaet Dortmund, Germany
Sankalp Khanna Australian e-Health Research Centre, CSIRO, Australia
Nichnan Walailak University, Thailand
Kittiphattanabawon
Frank Klawonn Ostfalia University, Germany
Sébastien Konieczny CRIL-CNRS, France
Krit Kosawat National Electronics and Computer Technology Center,
Thailand
Alfred Krzywicki University of New South Wales, Australia
Kun Kuang Zhejiang University, China
Young-Bin Kwon Chung-Ang University, South Korea
Weng Kin Lai Tunku Abdul Rahman University College, Malaysia
Ho-Pun Lam Data61, CSIRO, Australia
Nasith Laosen Phuket Rajabhat University, Thailand
Vincent CS Lee Monash University, Australia
Roberto Legaspi KDDI Research Inc., Japan
Gang Li Deakin University, Australia
Guangliang Li Ocean University of China, China
Tianrui Li Southwest Jiaotong University, China
Chanjuan Liu Dalian University of Technology, China
Fenrong Liu Tsinghua University, China
Michael Maher Reasoning Research Institute, Australia
Xinjun Mao National University of Defense Technology, China
Eric Martin University of New South Wales, Australia
Maria Vanina Martinez Instituto de Ciencias de la Computación, Argentina
Sanparith Marukatat National Electronics and Computer Technology Center,
Thailand
Michael Mayo University of Waikato, New Zealand
Brendan McCane University of Otago, New Zealand
Riichiro Mizoguchi Japan Advanced Institute of Science and Technology,
Japan
Nor Liyana Mohd Shuib University of Malaya, Malaysia
M. A. Hakim Newton Griffith University, AustraliaOrganization xi
Hung Duy Nguyen Thammasat University, Thailand
Phi Le Nguyen Hanoi University of Science and Technology, Vietnam
Kouzou Ohara Aoyama Gakuin University, Japan
Francesco Olivieri Griffith University, Australia
Mehmet Orgun Macquarie University, Australia
Noriko Otani Tokyo City University, Japan
Maurice Pagnucco University of New South Wales, Australia
Laurent Perrussel IRIT - Universite de Toulouse, France
Bernhard Pfahringer University of Waikato, New Zealand
Duc Nghia Pham MIMOS Berhad, Malaysia
Jantima Polpinij Mahasarakham University, Thailand
Thadpong Kasikorn Business-Technology Group, Thailand
Pongthawornkamol
Yuhua Qian Shanxi University, China
Joel Quinqueton LIRMM, France
Teeradaj Racharak Japan Advanced Institute of Science and Technology,
Japan
Fenghui Ren University of Wollongong, Australia
Mark Reynolds University of Western Australia, Australia
Jandson S. Ribeiro University of Koblenz-Landau, Germany
Kazumi Saito University of Shizuoka, Japan
Chiaki Sakama Wakayama University, Japan
Ken Satoh National Institute of Informatics and Sokendai, Japan
Abdul Sattar Griffith University, Australia
Nicolas Schwind National Institute of Advanced Industrial Science
and Technology, Japan
Nazha Selmaoui-Folcher University of New Caledonia, France
Lin Shang Nanjing University, China
Alok Sharma RIKEN, Japan
Chenwei Shi Tsinghua University, China
Zhenwei Shi Beihang University, China
Mikifumi Shikida Kochi University of Technology, Japan
Soo-Yong Shin Sungkyunkwan University, South Korea
Yanfeng Shu CSIRO, Australia
Tony Smith University of Waikato, New Zealand
Chattrakul Sombattheera Mahasarakham University, Thailand
Insu Song James Cook University, Australia
Safeeullah Soomro Virginia State University, USA
Tasanawan Soonklang Silpakorn University, Thailand
Markus Stumptner University of South Australia, Australia
Merlin Teodosia Suarez De La Salle University, Philippines
Xin Sun Catholic University of Lublin, Poland
Boontawee Suntisrivaraporn DTAC, Thailand
Thepchai Supnithi National Electronics and Computer Technology Center,
Thailand
David Taniar Monash University, Australiaxii Organization
Thanaruk Theeramunkong Thammasat University, Thailand
Michael Thielscher University of New South Wales, Australia
Satoshi Tojo Japan Advanced Institute of Science and Technology,
Japan
Shikui Tu Shanghai Jiao Tong University, China
Miroslav Velev Aries Design Automation, USA
Muriel Visani Hanoi University of Science and Technology, Vietnam
and La Rochelle University, France
Toby Walsh University of New South Wales, Australia
Xiao Wang Beijing University of Posts and Telecommunications,
China
Paul Weng Shanghai Jiao Tong University, China
Peter Whigham University of Otago, New Zealand
Wayne Wobcke University of New South Wales, Australia
Sartra Wongthanavasu Khon Kaen University, Thailand
Brendon J. Woodford University of Otago, New Zealand
Kaibo Xie University of Amsterdam, The Netherlands
Ming Xu Xi’an Jiaotong-Liverpool University, China
Shuxiang Xu University of Tasmania, Australia
Hui Xue Southeast University, China
Ming Yang Nanjing Normal University, China
Roland Yap National University of Singapore, Singapore
Kenichi Yoshida University of Tsukuba, Japan
Takaya Yuizono Japan Advanced Institute of Science and Technology,
Japan
Chengqi Zhang University of Technology Sydney, Australia
Du Zhang California State University, USA
Min-Ling Zhang Southeast University, China
Shichao Zhang Central South University, China
Wen Zhang Beijing University of Technology, China
Yu Zhang Southern University of Science and Technology, China
Zhao Zhang Hefei University of Technology, China
Zili Zhang Deakin University, Australia
Yanchang Zhao Data61, CSIRO, Australia
Shuigeng Zhou Fudan University, China
Xingquan Zhu Florida Atlantic University, USA
Additional Reviewers
Aitchison, Matthew Cheng, Charibeth
Akhtar, Naveed Damigos, Matthew
Algar, Shannon Dong, Huanfang
Almeida, Yuri Du Preez-Wilkinson, Nathaniel
Boudou, Joseph Effendy, Suhendry
Burie, Jean-Christophe Eng, Bah Tee
Chandra, Abel Feng, XueningOrganization xiii Fu, Keren Phiboonbanakit, Thananut Gao, Yi Phua, Yin Jun Geng, Chuanxing Pongpinigpinyo, Sunee Habault, Guillaume Preto, Sandro Hang, Jun-Yi Qian, Junqi He, Zhengqi Qiao, Yukai Hoang, Anh Riahi, Vahid Huynh, Du Rodrigues, Pedro Inventado, Paul Salvador Rosenberg, Manou Jan, Zohaib Sa-Ngamuang, Chaitawat Jannai, Tokotoko Scherrer, Romane Jia, Binbin Selway, Matt Jiang, Zhaohui Sharma, Ronesh Kalogeros, Eleftherios Song, Ge Karim, Abdul Su Yin, Myat Kumar, Shiu Subash, Aditya Lai, Yong Tan, Hongwei Laosen, Kanjana Tang, Jiahua Lee, Nung Kion Teh, Chee Siong Lee, Zhiyi Tettamanzi, Andrea Li, Weikai Tian, Qing Liang, Yanyan Tran, Vu Liu, Jiexi Vo, Duc Vinh Liu, Xiaxue Wang, Deng-Bao Liu, Yanli Wang, Kaixiang Luke, Jing Yuan Wang, Shuwen Mahdi, Ghulam Wang, Yuchen Mayer, Wolfgang Wang, Yunyun Mendonça, Fábio Wilhelm, Marco Ming, Zuheng Wu, Linze Mittelmann, Munyque Xiangru, Yu Nguyen, Duy Hung Xing, Guanyu Nguyen, Hong-Huy Xue, Hao Nguyen, Mau Toan Yan, Wenzhu Nguyen, Minh Hieu Yang, Wanqi Nguyen, Minh Le Yang, Yikun Nguyen, Trung Thanh Yi, Huang Nikafshan Rad, Hima Yin, Ze Okubo, Yoshiaki Yu, Guanbao Ong, Ethel Zhang, Jianyi Ostertag, Cécilia Zhang, Jiaqiang
Contents – Part I AI Foundations/Decision Theory Designing Bounded Min-Knapsack Bandits Algorithm for Sustainable Demand Response. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 Akansha Singh, P. Meghana Reddy, Shweta Jain, and Sujit Gujar Designing Refund Bonus Schemes for Provision Point Mechanism in Civic Crowdfunding . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 18 Sankarshan Damle, Moin Hussain Moti, Praphul Chandra, and Sujit Gujar Federated Learning for Non-IID Data: From Theory to Algorithm. . . . . . . . . 33 Bojian Wei, Jian Li, Yong Liu, and Weiping Wang Fixed-Price Diffusion Mechanism Design. . . . . . . . . . . . . . . . . . . . . . . . . . 49 Tianyi Zhang, Dengji Zhao, Wen Zhang, and Xuming He Multiclass Classification Using Dilute Bandit Feedback . . . . . . . . . . . . . . . . 63 Gaurav Batra and Naresh Manwani A Study of Misinformation Games . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 76 Constantinos Varsos, Giorgos Flouris, Marina Bitsaki, and Michail Fasoulakis Influence-Driven Explanations for Bayesian Network Classifiers . . . . . . . . . . 88 Emanuele Albini, Antonio Rago, Pietro Baroni, and Francesca Toni Public Project with Minimum Expected Release Delay . . . . . . . . . . . . . . . . 101 Guanhua Wang and Mingyu Guo Strategy Proof Mechanisms for Facility Location at Limited Locations . . . . . 113 Toby Walsh Applications of AI A Consistency Enhanced Deep Lmser Network for Face Sketch Synthesis . . . 127 Qingjie Sheng, Shikui Tu, and Lei Xu A Cost-Efficient Framework for Scene Text Detection in the Wild . . . . . . . . 139 Gangyan Zeng, Yuan Zhang, Yu Zhou, and Xiaomeng Yang
xvi Contents – Part I A Dueling-DDPG Architecture for Mobile Robots Path Planning Based on Laser Range Findings . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 154 Panpan Zhao, Jinfang Zheng, Qinglin Zhou, Chen Lyu, and Lei Lyu A Fully Dynamic Context Guided Reasoning and Reconsidering Network for Video Captioning. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 169 Xia Feng, Xinyu He, Rui Huang, and Caihua Liu Adaptive Prediction of Hip Joint Center from X-ray Images Using Generalized Regularized Extreme Learning Machine and Globalized Bounded Nelder-Mead Strategy . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 183 Fuchang Han, Shenghui Liao, Yiyong Jiang, Shu Liu, Yuqian Zhao, and Xiantao Shen Adversarial Training for Image Captioning Incorporating Relation Attention . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 197 Tianyu Chen, Zhixin Li, Canlong Zhang, and Huifang Ma Element Re-identification in Crowdtesting . . . . . . . . . . . . . . . . . . . . . . . . . 212 Li Zhang and Wei-Tek Tsai Flame and Smoke Detection Algorithm for UAV Based on Improved YOLOv4-Tiny . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 226 Ruinan Wu, Changchun Hua, Weili Ding, Yifan Wang, and Yubao Wang Improving Protein Backbone Angle Prediction Using Hidden Markov Models in Deep Learning. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 239 Fereshteh Mataeimoghadam, M. A. Hakim Newton, Rianon Zaman, and Abdul Sattar Magic Mirror Stealth: Interactive Automatic Picture Editing System . . . . . . . 252 MengDi Zhou, BoHeng Hu, and Si Liu Off-TANet: A Lightweight Neural Micro-expression Recognizer with Optical Flow Features and Integrated Attention Mechanism . . . . . . . . . . . . . 266 Jiahao Zhang, Feng Liu, and Aimin Zhou Pulmonary Nodule Classification of CT Images with Attribute Self-guided Graph Convolutional V-Shape Networks . . . . . . . . . . . . . . . . . . . . . . . . . . 280 Xiangbo Zhang, Kun Wang, Xiaohong Zhang, and Sheng Huang Semantic Structural and Occlusive Feature Fusion for Pedestrian Detection . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 293 Hui Wang, Yu Zhang, Hongchang Ke, Ning Wei, and Zhongyu Xu VTLayout: Fusion of Visual and Text Features for Document Layout Analysis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 308 Shoubin Li, Xuyan Ma, Shuaiqun Pan, Jun Hu, Lin Shi, and Qing Wang
Contents – Part I xvii An Initial Study of Machine Learning Underspecification Using Feature Attribution Explainable AI Algorithms: A COVID-19 Virus Transmission Case Study. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 323 James Hinns, Xiuyi Fan, Siyuan Liu, Veera Raghava Reddy Kovvuri, Mehmet Orcun Yalcin, and Markus Roggenbach Generation of Environment-Irrelevant Adversarial Digital Camouflage Patterns . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 336 Xu Teng, Hui Zhang, Bo Li, Chunming Yang, and Xujian Zhao Magnitude-Weighted Mean-Shift Clustering with Leave-One-Out Bandwidth Estimation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 347 Yuki Yamagishi, Kazumi Saito, Kazuro Hirahara, and Naonori Ueda Pervasive Monitoring of Gastrointestinal Health of Newborn Babies . . . . . . . 359 Insu Song, Yi Huang, Tieh Hee Hai Guan Koh, and Victor Samuel Rajadurai Price and Time Optimization for Utility-Aware Taxi Dispatching . . . . . . . . . 370 Yuya Hikima, Masahiro Kohjima, Yasunori Akagi, Takeshi Kurashima, and Hiroyuki Toda VAN: Voting and Attention Based Network for Unsupervised Medical Image Registration . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 382 Zhiang Zu, Guixu Zhang, Yaxin Peng, Zhen Ye, and Chaomin Shen Data Mining and Knowledge Discovery MGEoT: A Multi-grained Ensemble Method for Time Series Classification . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 397 Ziyi Wang, Yujie Zhou, Chun Li, Lin Shang, and Bing Xue Mining Skyline Frequent-Utility Itemsets with Utility Filtering . . . . . . . . . . . 411 Wei Song, Chuanlong Zheng, and Philippe Fournier-Viger Network Embedding with Topology-Aware Textual Representations . . . . . . . 425 Jiaxing Chen, Zenan Xu, and Qinliang Su Online Discriminative Semantic-Preserving Hashing for Large-Scale Cross-Modal Retrieval . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 440 Jinhan Yi, Yi He, and Xin Liu Empirical Study on the Impact of Different Sets of Parameters of Gradient Boosting Algorithms for Time-Series Forecasting with LightGBM . . . . . . . . 454 Filipa S. Barros, Vitor Cerqueira, and Carlos Soares
xviii Contents – Part I Evolutionary Computation/Optimisation A Two-Stage Efficient Evolutionary Neural Architecture Search Method for Image Classification . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 469 Gonglin Yuan, Bing Xue, and Mengjie Zhang Adaptive Relaxations for Multistage Robust Optimization . . . . . . . . . . . . . . 485 Michael Hartisch ALGNN: Auto-Designed Lightweight Graph Neural Network. . . . . . . . . . . . 500 Rongshen Cai, Qian Tao, Yufei Tang, and Min Shi Automatic Graph Learning with Evolutionary Algorithms: An Experimental Study . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 513 Chenyang Bu, Yi Lu, and Fei Liu Dendritic Cell Algorithm with Group Particle Swarm Optimization for Input Signal Generation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 527 Dan Zhang and Yiwen Liang Knowledge Representation and Reasoning Building Trust for Belief Revision. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 543 Aaron Hunter Correcting Large Knowledge Bases Using Guided Inductive Logic Learning Rules . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 556 Yan Wu, Zili Zhang, and Guodong Wang High-Quality Noise Detection for Knowledge Graph Embedding with Rule-Based Triple Confidence . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 572 Yan Hong, Chenyang Bu, and Xindong Wu Multi-agent Epistemic Planning with Inconsistent Beliefs, Trust and Lies . . . . 586 Francesco Fabiano, Alessandro Burigana, Agostino Dovier, Enrico Pontelli, and Tran Cao Son Author Index . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 599
Contents – Part II Natural Language Processing A Calibration Method for Sentiment Time Series by Deep Clustering . . . . . . 3 Jingyi Wu, Baopu Qiu, and Lin Shang A Weak Supervision Approach with Adversarial Training for Named Entity Recognition . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17 Jianxuan Shao, Chenyang Bu, Shengwei Ji, and Xindong Wu An Attention-Based Approach to Accelerating Sequence Generative Adversarial Nets . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 31 Minglei Gao, Sai Zhang, Xiaowang Zhang, and Zhiyong Feng Autoregressive Pre-training Model-Assisted Low-Resource Neural Machine Translation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46 Nier Wu, Hongxu Hou, Yatu Ji, and Wei Zheng Combining Improvements for Exploiting Dependency Trees in Neural Semantic Parsing. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58 Defeng Xie, Jianmin Ji, Jiafei Xu, and Ran Ji Deep Semantic Fusion Representation Based on Special Mechanism of Information Transmission for Joint Entity-Relation Extraction. . . . . . . . . . 73 Wenqiang Xu, Shiqun Yin, Junfeng Zhao, and Ting Pu Exploiting News Article Structure for Automatic Corpus Generation of Entailment Datasets . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 86 Jan Christian Blaise Cruz, Jose Kristian Resabal, James Lin, Dan John Velasco, and Charibeth Cheng Fake News Detection Using Multiple-View Text Representation . . . . . . . . . . 100 Tuan Ha and Xiaoying Gao Generating Pseudo Connectives with MLMs for Implicit Discourse Relation Recognition . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 113 Congcong Jiang, Tieyun Qian, Zhuang Chen, Kejian Tang, Shaohui Zhan, and Tao Zhan Graph Convolutional Network Exploring Label Relations for Multi-label Text Classification. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 127 Ting Pu, Shiqun Yin, Wenwen Li, and Wenqiang Xu
xx Contents – Part II Improving Long Content Question Generation with Multi-level Passage Encoding . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 140 Peide Zhu Learning Vietnamese-English Code-Switching Speech Synthesis Model Under Limited Code-Switched Data Scenario . . . . . . . . . . . . . . . . . . . . . . . 153 Cuong Manh Nguyen, Lam Viet Phung, Cuc Thi Bui, Trang Van Truong, and Huy Tien Nguyen Multi-task Text Normalization Approach for Speech Synthesis . . . . . . . . . . . 164 Cuc Thi Bui, Trang Van Truong, Cuong Manh Nguyen, Lam Viet Phung, Manh Tien Nguyen, and Huy Tien Nguyen Performance-Driven Reinforcement Learning Approach for Abstractive Text Summarization . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 177 Trang-Phuong N. Nguyen, Nam-Chi Van, and Nhi-Thao Tran Punctuation Prediction in Vietnamese ASRs Using Transformer-Based Models . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 191 Viet The Bui and Oanh Thi Tran Rumor Detection on Microblogs Using Dual-Grained Feature via Graph Neural Networks . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 205 Shouzhi Xu, Xiaodi Liu, Kai Ma, Fangmin Dong, Shunzhi Xiang, and Changsong Bing Short Text Clustering Using Joint Optimization of Feature Representations and Cluster Assignments . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 217 Liping Sun, Tingli Du, Xiaoyu Duan, and Yonglong Luo Soft-BAC: Soft Bidirectional Alignment Cost for End-to-End Automatic Speech Recognition . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 232 Yonghe Wang, Hui Zhang, Feilong Bao, and Guanglai Gao Span Labeling Approach for Vietnamese and Chinese Word Segmentation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 244 Duc-Vu Nguyen, Linh-Bao Vo, Dang Van Thin, and Ngan Luu-Thuy Nguyen VSEC: Transformer-Based Model for Vietnamese Spelling Correction . . . . . . 259 Dinh-Truong Do, Ha Thanh Nguyen, Thang Ngoc Bui, and Hieu Dinh Vo What Emotion Is Hate? Incorporating Emotion Information into the Hate Speech Detection Task. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 273 Kosisochukwu Judith Madukwe, Xiaoying Gao, and Bing Xue
Contents – Part II xxi Enhanced Named Entity Recognition with Semantic Dependency . . . . . . . . . 287 Peng Wang, Zhe Wang, Xiaowang Zhang, Kewen Wang, and Zhiyong Feng Improving Sentence-Level Relation Classification via Machine Reading Comprehension and Reinforcement Learning . . . . . . . . . . . . . . . . . . . . . . . 299 Bo Xu, Zhengqi Zhang, Xiangsan Zhao, Hui Song, and Ming Du Multi-modal and Multi-perspective Machine Translation by Collecting Diverse Alignments . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 311 Lin Li, Turghun Tayir, Kaixi Hu, and Dong Zhou Simplifying Paragraph-Level Question Generation via Transformer Language Models . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 323 Luis Enrico Lopez, Diane Kathryn Cruz, Jan Christian Blaise Cruz, and Charibeth Cheng Neural Networks and Deep Learning ABAE: Utilize Attention to Boost Graph Auto-Encoder . . . . . . . . . . . . . . . . 337 Tianyu Liu, Yifan Li, Yujie Sun, Lixin Cui, and Lu Bai Adversarial Examples Defense via Combining Data Transformations and RBF Layers . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 349 Jingjie Li, Jiaquan Gao, and Xiao-Xin Li An Improved Deep Model for Knowledge Tracing and Question-Difficulty Discovery. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 362 Huan Dai, Yupei Zhang, Yue Yun, and Xuequn Shang ARNet: Accurate and Real-Time Network for Crowd Counting . . . . . . . . . . 376 Yinfeng Xia, Qing He, Wenyue Wei, and Baoqun Yin Deep Recommendation Model Based on BiLSTM and BERT. . . . . . . . . . . . 390 Changwei Liu and Xiaowen Deng GCMNet: Gated Cascade Multi-scale Network for Crowd Counting . . . . . . . 403 Jinfang Zheng, Panpan Zhao, Jinyang Xie, Chen Lyu, and Lei Lyu GIAD: Generative Inpainting-Based Anomaly Detection via Self-Supervised Learning for Human Monitoring. . . . . . . . . . . . . . . . . . . . . 418 Ning Dong and Einoshin Suzuki Heterogeneous Graph Attention Network for User Geolocation . . . . . . . . . . . 433 Xuan Zhang, FuQiang Lin, DiWen Dong, WangQun Chen, and Bo Liu
xxii Contents – Part II Hyperbolic Tangent Polynomial Parity Cyclic Learning Rate for Deep Neural Network . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 448 Hong Lin, Xiaodong Yang, Binyan Wu, and Ruyan Xiong Infrared Image Super-Resolution via Heterogeneous Convolutional WGAN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 461 Yongsong Huang, Zetao Jiang, Qingzhong Wang, Qi Jiang, and Guoming Pang Knowledge Compensation Network with Divisible Feature Learning for Unsupervised Domain Adaptive Person Re-identification . . . . . . . . . . . . 473 Jiajing Hong, Yang Zhang, and Yuesheng Zhu LoCo-VAE: Modeling Short-Term Preference as Joint Effect of Long-Term Preference and Context-Aware Impact in Recommendation . . . . . . . . . . . . . 487 Jianping Liu, Bo Wang, Ruifang He, Bin Wu, Shuo Zhang, Yuexian Hou, and Qinxue Jiang Multi-scale Edge-Based U-Shape Network for Salient Object Detection . . . . . 501 Han Sun, Yetong Bian, Ningzhong Liu, and Huiyu Zhou Reconstruct Anomaly to Normal: Adversarially Learned and Latent Vector-Constrained Autoencoder for Time-Series Anomaly Detection . . . . . . 515 Chunkai Zhang, Wei Zuo, Shaocong Li, Xuan Wang, Peiyi Han, and Chuanyi Liu Robust Ensembling Network for Unsupervised Domain Adaptation . . . . . . . . 530 Han Sun, Lei Lin, Ningzhong Liu, and Huiyu Zhou SPAN: Subgraph Prediction Attention Network for Dynamic Graphs . . . . . . . 544 Yuan Li, Chuanchang Chen, Yubo Tao, and Hai Lin WINVC: One-Shot Voice Conversion with Weight Adaptive Instance Normalization . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 559 Shengjie Huang, Mingjie Chen, Yanyan Xu, Dengfeng Ke, and Thomas Hain Fusion Graph Convolutional Collaborative Filtering . . . . . . . . . . . . . . . . . . 574 Zeqi Zhang, Ying Liu, and Fengli Sun Multi-label Learning by Exploiting Imbalanced Label Correlations . . . . . . . . 585 Shiqiao Gu, Liu Yang, Yaning Li, and Hui Li Random Sparsity Defense Against Adversarial Attack . . . . . . . . . . . . . . . . . 597 Nianyan Hu, Ting Lu, Wenjing Guo, Qiubo Huang, Guohua Liu, Shan Chang, Jiafei Song, and Yiyang Luo Author Index . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 609
Contents – Part III Reinforcement Learning Consistency Regularization for Ensemble Model Based Reinforcement Learning . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 Ruonan Jia, Qingming Li, Wenzhen Huang, Junge Zhang, and Xiu Li Detecting and Learning Against Unknown Opponents for Automated Negotiations . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17 Leling Wu, Siqi Chen, Xiaoyang Gao, Yan Zheng, and Jianye Hao Diversity-Based Trajectory and Goal Selection with Hindsight Experience Replay . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 32 Tianhong Dai, Hengyan Liu, Kai Arulkumaran, Guangyu Ren, and Anil Anthony Bharath Off-Policy Training for Truncated TD(k) Boosted Soft Actor-Critic. . . . . . . . 46 Shiyu Huang, Bin Wang, Hang Su, Dong Li, Jianye Hao, Jun Zhu, and Ting Chen Adaptive Warm-Start MCTS in AlphaZero-Like Deep Reinforcement Learning . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 60 Hui Wang, Mike Preuss, and Aske Plaat Batch-Constraint Inverse Reinforcement Learning . . . . . . . . . . . . . . . . . . . . 72 Mao Chen, Li Wan, Chunyan Gou, Jiaolu Liao, and Shengjiang Wu KG-RL: A Knowledge-Guided Reinforcement Learning for Massive Battle Games . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 83 Shiyang Zhou, Weiya Ren, Xiaoguang Ren, Xianya Mi, and Xiaodong Yi Vision and Perception A Semi-supervised Defect Detection Method Based on Image Inpainting . . . . 97 Huibin Cao, Yongxuan Lai, Quan Chen, and Fan Yang ANF: Attention-Based Noise Filtering Strategy for Unsupervised Few-Shot Classification . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 109 Guangsen Ni, Hongguang Zhang, Jing Zhao, Liyang Xu, Wenjing Yang, and Long Lan
xxiv Contents – Part III Asymmetric Mutual Learning for Unsupervised Cross-Domain Person Re-identification . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 124 Danyang Huang, Lei Zhang, Qishuai Diao, Wei Wu, and Zhong Zhou Collaborative Positional-Motion Excitation Module for Efficient Action Recognition . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 138 Tamam Alsarhan and Hongtao Lu Graph Attention Convolutional Network with Motion Tempo Enhancement for Skeleton-Based Action Recognition . . . . . . . . . . . . . . . . . . . . . . . . . . . 152 Ruwen Bai, Xiang Meng, Bo Meng, Miao Jiang, Junxing Ren, Yang Yang, Min Li, and Degang Sun Learning to Synthesize and Remove Rain Unsupervisedly . . . . . . . . . . . . . . 166 Yinhe Qi, Meng Pan, and Zhi Jin Object Bounding Box-Aware Embedding for Point Cloud Instance Segmentation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 182 Lixue Cheng, Taihai Yang, and Lizhuang Ma Objects as Extreme Points . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 195 Yang Yang, Min Li, Bo Meng, Zihao Huang, Junxing Ren, and Degang Sun Occlusion-Aware Facial Expression Recognition Based Region Re-weight Network . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 209 Xinghai Zhang, Xingming Zhang, Jinzhao Zhou, and Yubei Lin Online Multi-Object Tracking with Pose-Guided Object Location and Dual Self-Attention Network . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 223 Xin Zhang, Shihao Wang, Yuanzhe Yang, Chengxiang Chu, and Zhong Zhou Random Walk Erasing with Attention Calibration for Action Recognition . . . 236 Yuze Tian, Xian Zhong, Wenxuan Liu, Xuemei Jia, Shilei Zhao, and Mang Ye RGB-D Based Visual Navigation Using Direction Estimation Module . . . . . . 252 Chao Luo, Sheng Bi, Min Dong, and Hongxu Nie Semi-supervised Single Image Deraining with Discrete Wavelet Transform . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 265 Xin Cui, Wei Shang, Dongwei Ren, Pengfei Zhu, and Yankun Gao Simple Light-Weight Network for Human Pose Estimation. . . . . . . . . . . . . . 279 Bin Sun and Mingguo Zhao
Contents – Part III xxv SIN: Superpixel Interpolation Network. . . . . . . . . . . . . . . . . . . . . . . . . . . . 293 Qing Yuan, Songfeng Lu, Yan Huang, and Wuxin Sha SPANet: Spatial and Part-Aware Aggregation Network for 3D Object Detection . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 308 Yangyang Ye Subspace Enhancement and Colorization Network for Infrared Video Action Recognition . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 321 Lu Xu, Xian Zhong, Wenxuan Liu, Shilei Zhao, Zhengwei Yang, and Luo Zhong Thinking in Patch: Towards Generalizable Forgery Detection with Patch Transformation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 337 Xueqi Zhang, Shuo Wang, Chenyu Liu, Min Zhang, Xiaohan Liu, and Haiyong Xie When Distortion Meets Perceptual Quality: A Multi-task Learning Pipeline . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 353 Jing Wen and Qianyu Guo Feature Adaption with Predicted Boxes for Oriented Object Detection in Aerial Images . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 366 Minhao Zou, Ziye Hu, Yuxiang Guan, Zhongxue Gan, Chun Guan, and Siyang Leng Few-Shot Crowd Counting via Self-supervised Learning . . . . . . . . . . . . . . . 379 Jiefeng Long, Chun Li, and Lin Shang Low-Rank Orthonormal Analysis Dictionary Learning for Image Classification . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 391 Kun Jiang, Zhaoli Liu, and Qindong Sun MRAC-Net: Multi-resolution Anisotropic Convolutional Network for 3D Point Cloud Completion. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 403 Sheng Liu, Dingda Li, Wenhao Huang, Yifeng Cao, and Shengyong Chen Nonlinear Parametric Transformation and Generation of Images Based on a Network with the CWNL Layer. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 415 Slawomir Golak PupilFace: A Cascaded Face Detection and Location Network Fusing Attention . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 426 Xiang Li and Jiancheng Zou Author Index . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 439
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