Chen Ma (马辰), PhD student

School of Computer Science, McGill University
Montreal, Quebec, Canada

Email: chen.ma2[at]mail.mcgill.ca

Office: Room 305, McConnel Building

Google Scholar, Linkedin, Github

Bio

Chen Ma is a PhD student in the School of Computer Science at McGill University, supervised by Prof. Xue (Steve) Liu. His research is on the intersection of recommender systems and deep learning, especially on learning effective representations of users, items, and user-item interactions in recommender systems. The central theme driving his research work is to search for effective auxiliary information, powerful models, adaptive/personalized hyper-parameters, and fairness-aware recommendation results.

He is also a core developer of a Java opensource library on recommender systems–LibRec.


Publication

[13] Chen Ma, Liheng Ma, Yingxue Zhang, Haolun Wu, Xue Liu and Mark Coates, “Knowledge-Enhanced Top-K Recommendation in Poincaré Ball”, in the 35th AAAI Conference on Artificial Intelligence (AAAI 2021, acceptance rate: 1692/7911 = 21.4%), Virtual, Feb. 2021.
[Paper]

[12] Peng Kang, Jianping Zhang, Chen Ma and Guiling Sun, “ATM: Attentional Text Matting”, in the 2021 IEEE Winter Conference on Applications of Computer Vision (WACV 2021), Virtual, Jan. 2021.
[Paper]

[11] Chen Ma, Liheng Ma, Yingxue Zhang, Ruiming Tang, Xue Liu and Mark Coates, “Probabilistic Metric Learning with Adaptive Margin for Top-K Recommendation”, in the 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2020 Research Track, acceptance rate: 216/1279=16.9%), San Diego, USA, Aug. 2020.
[Paper]

[10] Jianing Sun, Yingxue Zhang, Wei Guo, Huifeng Guo, Ruiming Tang, Xiuqiang He, Chen Ma and Mark Coates, “Neighbor Interaction Aware Graph Convolution Networks for Recommendation”, in the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2020, acceptance rate: 147/555 = 26%), Xi’an, China, Jul. 2020.
[Paper]

[9] Hang Li, Chen Ma, Wei Xu and Xue Liu, “Feature Statistics Guided Efficient Filter Pruning”, in the 29th International Joint Conference on Artificial Intelligence (IJCAI 2020, acceptance rate: 592/4717 = 12.6%), Yokohama, Japan, Jul. 2020.
[Paper]

[8] Chen Ma, Liheng Ma, Yingxue Zhang, Jianing Sun, Xue Liu and Mark Coates, “Memory Augmented Graph Neural Networks for Sequential Recommendation”, in the 34th AAAI Conference on Artificial Intelligence (AAAI 2020, acceptance rate: 1591/7737 = 20.6%), New York, USA, Feb. 2020.
[Paper]

[7] Jianing Sun, Yingxue Zhang, Chen Ma, Mark Coates, Huifeng Guo, Ruiming Tang and Xiuqiang He, “Multi-Graph Convolution Collaborative Filtering”, in the 19th IEEE International Conference on Data Mining (IEEE ICDM 2019 short paper, acceptance rate: 194/1046 = 18.5%), Beijing, China, Nov. 2019.
[Paper]

[6] Chen Ma, Peng Kang and Xue Liu, “Hierarchical Gating Networks for Sequential Recommendation”, in the 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2019 Research Track, acceptance rate: ~170/~1200=14%), Anchorage, USA, Aug. 2019.
[Paper] [Code]

[5] Chen Ma, Peng Kang, Bin Wu, Qinglong Wang and Xue Liu, “Gated Attentive-Autoencoder for Content-Aware Recommendation”, in the 12th ACM International Conference on Web Search and Data Mining (WSDM 2019, acceptance rate: 84/511=16%), Melbourne, Australia, Feb. 2019.
[Paper] [Slides] [Code]

[4] Chen Ma, Yingxue Zhang, Qinglong Wang and Xue Liu, “Point-of-Interest Recommendation: Exploiting Self-Attentive Autoencoders with Neighbor-Aware Influence”, in the 27th ACM International Conference on Information and Knowledge Management (CIKM 2018, acceptance rate: 147/862=17%), Turin, Italy, Oct. 2018.
[Paper] [Slides] [Code]

[3] Landu Jiang, Yu Hua, Chen Ma and Xue Liu, “SunChase: Energy-Efficient Route Planning for Solar-Powered EVs”, in the 37th IEEE International Conference on Distributed Computing Systems (ICDCS 2017, acceptance rate: 16.8%), Atlanta, USA, Jun. 2017.
[Paper]

[2] Xi Chen, Chen Ma, Michel Allegue and Xue Liu, “Taming the Inconsistency of Wi-Fi Fingerprints for Device-Free Passive Indoor Localization”, in the 36th IEEE International Conference on Computer Communications (INFOCOM 2017, acceptance rate: 20.9%), Atlanta, USA, May 2017.
[Paper]

[1] Jiehao Chen, Chen Ma, Zizhen Yan, Bo Chen, Yu Shen and Yu Liang, “Defensive strategy of the goalkeeper based on the 3D vision and field division for the middle-size league of robocup”, in the 2013 IEEE International Conference on Granular Computing (GrC 2013), Beijing, China, Dec. 2013.


Awards

  • Excellent Research Intern of Noah’s Ark Lab, 2020
  • Excellent Graduate Scholarship of McGill, School of Computer Science, 2015, 2016, 2017, and 2018
  • National Scholarship for Graduate Students, Ministry of Education of China, 2014
  • Champion, RoboCup Soccer Middle Size League Competition, RoboCup China Open, 2013
  • 4-th Place, RoboCup Soccer Middle Size League Competition, RoboCup Eindhoven World Final, 2013
  • Teli Xu Scholarship (the highest scholarship in Beijing Institute of Technology, annual selection ratio is 12/12000 among undergraduates), 2012

Hobby

Powerlifting (squat:110kg, deadlift:130kg, bench:80kg), Basketball, Squash, and Music


Contact

Email: chen.ma2[at]mail.mcgill.ca
Mailing Address: Room 305, 3480 Rue University, Montreal, Quebec, Canada H3A 0E9


Motto

“Don’t ever underestimate the heart of a champion!”