Publications

A complete list can be found in my Google Scholar and DBLP profile. * denotes corresponding author, # denotes co-first author.

Thesis

• Dingding Chen. The Study on Inference Based Complete Algorithms for Distributed Constraint Optimization Problems. Doctoral’s thesis, Chongqing University. 2022.

2022

• Dingding Chen, Ziyu Chen, Yanchen Deng, Zhongshi He, Lulu Wang. Inference-based Complete Algorithms for Asymmetric Distributed Constraint Problems. Artificial Intelligence Review, 2022 (SCI, IF=9.588).
• Dingding Chen, Ziyu Chen, Dingding Chen, Ziyu Chen, Zhongshi He, Junsong Gao, Zhizhuo Su. Learning heuristics for weighted CSPs through deep reinforcement learning. Applied Intelligence, 2022 (SCI, IF=5.019). [paper] [code]
• Jie Wang, Dingding Chen^#, Ziyu Chen, Xiangshuang Liu, Junsong Gao. Completeness Matters: Towards Efficient Caching in Tree-Based Synchronous Backtracking Search for DCOPs. In Proceedings 28th International Conference on Principles and Practice of Constraint Programming (CP’22), 2022. (acceptance rate: 51.3\%, CCF-B) [paper]
• Yongwen Huang, Dingding Chen, Haiyan Wang, Lulu Wang. Gender recognition of Guanyin in China based on VGGNet. Heritage Science, 2022 (SCI). [paper]

  2021

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• Xiangshuang Liu, Ziyu Chen, Dingding Chen, Junsong Gao. A Bound-Independent Pruning Technique to Speeding up Tree-Based Complete Search Algorithms for Distributed Constraint Optimization Problems. In Proceedings 27th International Conference on Principles and Practice of Constraint Programming (CP’21), 2021. (acceptance rate: 44\%, CCF-B) [paper]

  2020

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• Dingding Chen, Yanchen Deng, Ziyu Chen, Zhongshi He, Wenxin Zhang. A hybrid tree-based algorithm to solve asymmetric distributed constraint optimization problems. Journal of Autonomous Agents and Multi-Agent Systems, Vol.34, Article 50. 2020. (CCF-B) [paper]
• Dingding Chen, Yanchen Deng, Ziyu Chen, Wenxing Zhang, Zhongshi He. HS-CAI: A hybrid DCOP algorithm via combining search with context-based inference. Proceedings of the 34th AAAI Conference on Artificial Intelligence (AAAI’20), pp.7087-7094. 2020. (acceptance rate: 20.6%, CCF-A) [paper] [code]
• Ziyu Chen, Wenxin Zhang, Yanchen Deng, Dingding Chen, Qing Li. RMB-DPOP: Refining MB-DPOP by reducing redundant inferences. Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems (AAMAS’20), pp.249-257. 2020. (acceptance rate: 23.0%, CCF-B) [paper] [code]

  2019

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• Yanchen Deng, Ziyu Chen, Dingding Chen, Wenxin Zhang, Xingqiong Jiang. AsymDPOP: Complete inference for asymmetric distributed constraint optimization problems. Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI’19), pp.223-230. 2019. (acceptance rate: 17.9%, CCF-A) [paper]
• Ziyu Chen, Xingqiong Jiang, Yanchen Deng, Dingding Chen, Zhongshi He. A generic approach to accelerating belief propagation based incomplete algorithms for DCOPs via a branch-and-bound technique. Proceedings of the 33rd AAAI Conference on Artificial Intelligence (AAAI’19), pp.6038-6045. 2019. (acceptance rate: 16.2%, CCF-A) [paper]
• Yanchen Deng, Ziyu Chen, Dingding Chen, Xingqiong Jiang, Qiang Li. PT-ISABB: A hybrid tree-based complete algorithm to solve asymmetric distributed constraint optimization problems. Proceedings of the 18th International Conference on Autonomous Agents and Multiagent Systems (AAMAS’19), pp.1506-1514. 2019. (acceptance rate: 24.0%, CCF-B; Invited to JAAMAS fast-track publication) [paper] [code]
• Haiyan Wang, Zhongshi He, Yiman He, Dingding Chen, Yongwen Huang. Average-face-based virtual inpainting for severely damaged statues of Dazu Rock Carvings. Journal of Cultural Heritage, 2019 (SCI, SSCI, A&HCI). [paper]
• Haiyan Wang, Zhongshi He, Dingding Chen, Yongwen Huang, Yiman He. Virtual Inpainting for Dazu Rock Carvings Based on a Sample Dataset. Journal on Computing and Cultural Heritage (JOCCH), 2019. (SCI, A&HCI). [paper]

2017

• Haiyan Wang, Zhongshi He, Yongwen Huang, Dingding Chen, Zexun Zhou. Bodhisattva head images modeling style recognition of Dazu Rock Carvings based on deep convolutional network. Journal of Cultural Heritage, 2017. (SCI, SSCI, A&HCI). [paper]