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- Minghong Yao, Haizheng Yu, Hong Bian. Defending against adversarial attacks on graph neural networks via similarity property. AI Commun., 36(1):27-39, 2023.
- Yixin Tang, Hua Cheng, Yiquan Fang, Tao Cheng. SECL: Sampling enhanced contrastive learning. AI Commun., 36(1):1-12, 2023.
- Ning Jiang, Jinglong Fang, Yanli Shao. Learning invariant representation using synthetic imagery for object detection. AI Commun., 36(1):13-25, 2023.
- Ruiyun Yu, Kang Yang, Zhihong Wang, Shi Zhen. Multimodal interaction aware embedding for location-based social networks. AI Commun., 36(1):41-55, 2023.
- Johannes Schneider. Optimizing human hand gestures for AI-systems. AI Commun., 35(3):153-169, 2022.
- Ian M. Gemp, Thomas W. Anthony 0001, Yoram Bachrach, Avishkar Bhoopchand, Kalesha Bullard, Jerome T. Connor, Vibhavari Dasagi, Bart De Vylder, Edgar A. Duéñez-Guzmán, Romuald Elie, Richard Everett 0001, Daniel Hennes, Edward Hughes 0001, Mina Khan, Marc Lanctot, Kate Larson, Guy Lever, Siqi Liu, Luke Marris, Kevin R. McKee, Paul Muller, Julien Pérolat, Florian Strub, Andrea Tacchetti, Eugene Tarassov, Zhe Wang, Karl Tuyls. Developing, evaluating and scaling learning agents in multi-agent environments. AI Commun., 35(4):271-284, 2022.
- Angeliki Koutsimpela, Konstantinos D. Koutroumbas. A new stochastic gradient descent possibilistic clustering algorithm. AI Commun., 35(2):47-64, 2022.
- Amit K. Chopra. Interaction-Oriented Software Engineering: Programming abstractions for autonomy and decentralization. AI Commun., 35(4):381-391, 2022.
- Gang Liu, Yichao Dong, Kai Wang, Zhizheng Yan. A cross-lingual sentence pair interaction feature capture model based on pseudo-corpus and multilingual embedding. AI Commun., 35(1):1-14, 2022.