Refereed conference papers
[C1] Basu, Chandrayee, Vasu, Rosni, Yasunaga, Michihiro, Yang, Qian “topic: Dataset and models for controllable medical text Simplification”, submitted to 37th AAAI Conference on Artificial Intelligence 2023.
[C2] Jung, Summer, Basu, Chandrayee, Kim, Soh, “topic: Content-based recommender system leveraging human values”, submitted to ACM CHI Conference on Human Factors in Computing Systems 2023.
[C3] Basu, Chandrayee, Vasu, Rosni, Yasunaga, Michihiro, Yang, Qian, “Automatic Medical Text Simplification: Challenges of Data Quality and Curation.” HUMAN@ AAAI Fall Symposium 2022 [pdf].
[C4] Basu, Chandrayee, Biyik, Erdem, Singhal, Mukesh and Sadigh, Dorsa, “Active Learning of Reward Dynamics from Hierarchical Queries”, Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2019), Macau, China, November 4 - 8, 2019 [pdf].
[C5] Basu, Chandrayee, Singhal, Mukesh, and D. Dragan, Anca, "Learning from Richer Human Guidance: Augmenting Comparison-Based Learning with Feature Queries", 2018 Conference on Human Robot Interaction (HRI2018) (accepted), Chicago, Illinois, March 5 - 8, 2018 [pdf].
[C6] Basu, Chandrayee, Yang, Qian, Hungerman, David, Singhal, Mukesh, and Dragan, Anca, "Do You Want Your Autonomous Car To Drive Like You?", 2017 Conference on Human Robot Interaction (HRI2017), Vienna, Austria, March 6 - 9, 2017 [pdf].
[C7] Basu, Chandrayee, Singhal, Mukesh, "Trust Dynamics in Human-Autonomous Vehicle interaction: A Review of Trust Models", AAAI Spring Symposium 2016, Palo Alto, March 21 - 23, 2016 [pdf].
[C8] Basu, Chandrayee, Christian Koehler, Kamalika Das, Anind Dey, "PerCCS: Person-count from Carbon dioxide using Sparse Non-negative Matrix Factorization", Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp '15), Osaka, Japan, 2015. [pdf]
[C9] Chaitanya Poolla, Abe Ishihara, Rodney Martin, Steven Rosenberg, Chandrayee Basu, Alex Fong, and Sreejita Ray, “Neural Network Forecasting of Solar Power for NASA Ames Sustainability Base”, IEEE Symposium Series on Computational Intelligence (SSCI 2014), 2014 [pdf]
[C10] Basu, Chandrayee, Chen, Benjamin, Chen, Elizabeth, Dhinakaran, Aparna, Richards, Jacob, Agogino, Alice, Martin, Rodney, Affordable and personalized lighting using inverse modeling and virtual sensors, SPIE Smart Structures/NDE 2014, March 9-13, 2014. Best paper nominee and runners up.
[C11] Basu, Chandrayee, Ghatikar Girish, 2013, “Resilient buildings for smart grid India”, Great Lakes conference, 2013.
[C12] Paulson, Ryan, Basu, Chandrayee, Agogino, Alice, Inverse Modeling Using a Wireless Sensor Network (WSN) for Personalized Daylight Harvesting, SensorNets 2013, Barcelona.
Refereed journal papers
[J1] Chandrayee Basu, Julien Caubel, Kyunam Kim, Elizabeth Cheng, Aparna Dhinakaran, Alice Agogino, Rodney Martin, “Sensor-based predictive modeling for smart lighting in grid-integrated buildings”, in a special issue of IEEE Sensors Journal on Sensing Technologies for Intelligent Urban Infrastructures, Vol. 14 (12), December 2014, pp. 4216-4229. 10.1109/JSEN.2014.2352331. [pdf]
Presentations
[P1] Basu, Chandrayee, Mukesh Singhal, Anca D. Dragan, "Learning from Richer Human Guidance: Augmenting Comparison-Based Learning with Feature Queries", Proceedings of 2018 Conference on Human Robot Interaction (HRI'18), Chicago, USA, 2018. [pdf]
[P2] Basu, Chandrayee, Qian Yang, David Hungerman, Anca D. Dragan, "Do You Want Your Autonomous Car To Drive Like You?", Proceedings of 2017 Conference on Human Robot Interaction (HRI'17), Vienna, Austria, 2017. [pdf]
[P3] Basu, Chandrayee, Christian Koehler, Kamalika Das, Anind Dey, "PerCCS: Person-count from Carbon dioxide using Sparse Non-negative Matrix Factorization", Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp '15), Osaka, Japan, 2015. [pdf]