Publications

Welcome to the CLeAR lab publications page. CLeAR Group Members are marked with a ★.

SCALES: From Fairness Principles to Constrained Decision-Making, Sreejith Balakrishnan★, Jianxin Bi★, and Harold Soh★ , AAAI/ACM conference on Artificial Intelligence, Ethics and Society (AIES), 2022
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MIRROR: Differentiable Deep Social Projection for Assistive Human-Robot Communication, Kaiqi Chen★, Jeffrey Fong★, and Harold Soh★ , Robotics: Science and Systems (R:SS), 2022
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When your boss is a robot: Workers are more spiteful to robot supervisors that seem more human, Kai Chi Yam, E-Yang Goh, Ryan Fehr, Randy Lee, Harold Soh★, Kurt Gray , Journal of Experimental Social Psychology
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The Dynamics of Q-learning in Population Games: a Physics-Inspired Continuity Equation Model, Shuyue Hu★, Chin-Wing Leung, Ho-fung Leung, and Harold Soh★ , International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2022
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Deep Explicit Duration Switching Models for Time Series, Abdul Fatir Ansari★, Konstantinos Benidis, Richard Kurle, Ali Caner Turkmen, Harold Soh★, Alex Smola, Bernie Wang, Tim Januschowski , Neural Information Processing Systems (NeurIPS), 2021
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Extended Tactile Perception: Vibration Sensing through Tools and Grasped Objects, Tasbolat Taunyazov★, Luar Shui Song★, Eugene Lim★, Hian Hian See, David Lee, Benjamin C.K. Tee, Harold Soh★ , IEEE International Conference on Intelligent Robots and Systems (IROS), 2021
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Multi-Modal Mutual Information (MuMMI) Training for Robust Self-Supervised Deep Reinforcement Learning, Kaiqi Chen★, Yong Lee★, and Harold Soh★ , IEEE International Conference on Robotics and Automation (ICRA), 2021
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Embedding Symbolic Temporal Knowledge into Deep Sequential Models, Yaqi Xie ★, Fan Zhou ★, and Harold Soh ★ , IEEE International Conference on Robotics and Automation (ICRA), 2021
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The Evolutionary Dynamics of Independent Learning Agents in Population Games, Shuyue Hu ★, Chin-Wing Leung, Ho-fung Leung, and Harold Soh ★
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Refining Deep Generative Models via Discriminator Gradient Flow, Abdul Fatir Ansari ★, Ming Liang Ang ★, and Harold Soh ★ , International Conference on Learning Representations (ICLR), 2021 (28.6% Acceptance Rate)
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A Theoretical Framework for Large-Scale Human-Robot Interaction with Groups of Learning Agents, Nicholas Teh ★, Shuyue Hu ★, and Harold Soh ★ , Late Breaking Report, ACM/IEEE Conference on Human Robot Interaction (HRI), 2021
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Efficient Exploration of Reward Functions in Inverse Reinforcement Learning via Bayesian Optimization, Sreejith Balakrishnan ★, Quoc Phong Nguyen, Bryan Kian Hsiang Low, and Harold Soh ★ , Neural Information Processing Systems (NeurIPS), 2020 (20.1% Acceptance Rate)
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Trust in Robots: Challenges and Opportunities, Bing Cai Kok★, and Harold Soh ★ , Current Robotics Reports, 2020
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Robots at work: People prefer—and forgive—service robots with perceived feelings, Kai Chi Yam, Yochanan Bigman, Pok Man Tang, Remus Ilies, David De Cremer, Harold Soh ★, and Kurt Gray , Journal of Applied Psychology, 2020

Getting to Know One Another: Calibrating Intent, Capabilities and Trust for Human-Robot Collaboration, Joshua Lee★, Jeffrey Fong★, Bing Cai Kok★, and Harold Soh ★ , IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020
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TactileSGNet: A Spiking Graph Neural Network for Event-based Tactile Object Recognition, Fuqiang Gu★, Weicong Sng★, Tasbolat Taunyazov★, and Harold Soh ★ , IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020
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Fast Texture Classification Using Tactile Neural Coding and Spiking Neural Network, Tasbolat Taunyazov★, Yansong Chua, Ruihan Gao, Harold Soh ★, and Yan Wu , IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020
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Event-Driven Visual-Tactile Sensing and Learning for Robots, Tasbolat Taunyazov★, Weicong Sng★, Hian Hian See, Brian Lim, Jethro Kuan★, Abdul Fatir Ansari★, Benjamin Tee, and Harold Soh ★ , Robotics: Science and Systems Conference (RSS), 2020
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A Characteristic Function Approach to Deep Implicit Generative Modeling, Abdul Fatir Ansari★, Jonathan Scarlett, and Harold Soh★ , The Conference on Computer Vision and Pattern Recognition (CVPR), 2020 (22.1% Acceptance Rate, Oral Presentation ~5%)
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Factorized Inference in Deep Markov Models for Incomplete Multimodal Time Series, Zhi-Xuan Tan, Harold Soh ★, Desmond Ong , Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI), 2020 (20.6% Acceptance rate, Oral Presentation)
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Multi-Task Trust Transfer for Human Robot Interaction, Harold Soh ★, Yaqi Xie★, Min Chen, and David Hsu , International Journal of Robotics Research (IJRR), 2020 (Impact Factor: 6.134)
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Trust-Aware Decision Making for Human-Robot Collaboration: Model Learning and Planning, Min Chen, Stefanos Nikolaidis, Harold Soh ★, David Hsu, and Siddhartha Srinivasa , ACM Transactions on Human Robot Interaction (THRI), 2020
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Modeling the Interplay of Trust and Attention in HRI: an Autonomous Vehicle Study, Indu Prasad Bodala★, Bing Cai Kok★, Weicong Sng★, and Harold Soh ★ , Late Breaking Report, ACM/IEEE Conference on Human Robot Interaction (HRI), 2020
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Juiced and Ready to Predict Private Information in Deep Cooperative Reinforcement Learning, Eugene Lim★, Bing Cai Kok★, Joshua Lee★, Songli Wang★, and Harold Soh ★ , Late Breaking Report, ACM/IEEE Conference on Human Robot Interaction (HRI), 2020
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Embedding Symbolic Knowledge into Deep Networks, Yaqi Xie★, Ziwei Xu, Mohan Kankanhalli, Kuldeep S. Meel, and Harold Soh ★ , Neural Information Processing Systems (NeurIPS), 2019 (21% Acceptance rate)
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Hyperprior Induced Unsupervised Disentanglement of Latent Representations, Abdul Fatir Ansari★ and Harold Soh ★ , Thirty-Third AAAI Conference on Artificial Intelligence (AAAI), 2019 (16.2% Acceptance Rate)
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Robot Capability and Intention in Trust-based Decisions across Tasks, Xie Yaqi★, Indu Prasad★, Desmond Ong, David Hsu and Harold Soh ★ , ACM/IEEE Conference on Human Robot Interaction (HRI), 2019 (24% Acceptance Rate)
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Towards Effective Tactile Identification of Textures using a Hybrid Touch Approach, Tasbolat Taunyazov★, Hui Fang Koh, Yan Wu, Caixia Cai and Harold Soh ★ , IEEE International Conference on Robotics and Automation (ICRA), 2019
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Applying Probabilistic Programming to Affective Computing, Desmond Ong, Harold Soh ★, Jamil Zaki and Noah Goodman , IEEE Transactions on Affective Computing, 2019 (Impact Factor: 6.288)
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Deep Language-based Critiquing for Recommender Systems, Ga Wu, Kai Luo, Scott Sanner and Harold Soh ★ , ACM Recommender Systems Conference (RecSys), 2019 (19% Acceptance Rate)
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Trust Dynamics and Transfer across Human-Robot Interaction Tasks: Bayesian and Neural Computational Models, Harold Soh ★, Shu Pan★, Min Chen and David Hsu , IJCAI Best Paper Sister Track, 2019
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The Transfer of Human Trust in Robot Capabilities across Tasks, Harold Soh ★, Shu Pan★, Min Chen, and David Hsu , Robotics Science and Systems (RSS), 2018 (Best Paper Award Finalist)
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Generation Meets Recommendation: Proposing Novel Items for Groups of Users, Vo Vinh Thanh★ and Harold Soh ★ , ACM Recommender Systems Conference (RecSys), 2018 (17.7% Acceptance Rate, Best Long Paper Award Runner-up)
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Planning with Trust for Human Robot Collaboration, Min Chen, Stefanos Nikolaidis, Harold Soh ★, David Hsu, and Siddhartha Srinivasa , ACM/IEEE Conference on Human Robot Interaction (HRI), 2018 (23% Acceptance Rate, Best Paper Award Finalist)
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Human Trust in Robot Capabilities across Tasks, Pan Shu★, Min Chen, Stefanos Nikolaidis, David Hsu, and Harold Soh ★ , Late Breaking Report, ACM/IEEE Conference on Human Robot Interaction (HRI), 2018
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Z-Transforms and its Inference on Partially Observable Point Processes, Young Lee★, Vo Vinh Thanh★, Kar Wai Lim, and Harold Soh ★ , Intl. Joint Conference on Artificial Intelligence (IJCAI), 2018 (20.5% Acceptance Rate)
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Collaborative Filtering with Behavioral Models, Dusan Sovilj, Scott Sanner, Harold Soh ★, and Hanze Li , ACM User Modeling and Personalization Conference (UMAP), 2018 (28% Acceptance Rate)
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Measuring and Mitigating the Costs of Attentional Switches in Active Network Monitoring for Cybersecurity, Sean W. Kortschot, Dusan Sovilj, Greg A. Jamieson, Scott Sanner, Chelsea Carrasco, and Harold Soh★ , Human Factors: The Journal of the Human Factors and Ergonomics Society
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For other pre-CLeAR publications, please see Harold's Google Scholar.