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
[BibTeX]
MIRROR: Differentiable Deep Social Projection for Assistive Human-Robot Communication,
Kaiqi Chen★, Jeffrey Fong★, and Harold Soh★
, Robotics: Science and Systems (R:SS), 2022
[BibTeX]
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
[BibTeX]
[BibTeX]
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
[BibTeX]
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
[BibTeX]
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
[BibTeX]
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
[BibTeX]
Embedding Symbolic Temporal Knowledge into Deep Sequential Models,
Yaqi Xie ★, Fan Zhou ★, and Harold Soh ★
, IEEE International Conference on Robotics and Automation (ICRA), 2021
[BibTeX]
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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[BibTeX]
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)
[BibTeX]
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
[BibTeX]
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)
[BibTeX]
Trust in Robots: Challenges and Opportunities,
Bing Cai Kok★, and Harold Soh ★
, Current Robotics Reports, 2020
[BibTeX]
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
[BibTeX]
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
[BibTeX]
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
[BibTeX]
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
[BibTeX]
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%)
[BibTeX]
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)
[BibTeX]
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)
[BibTeX]
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
[BibTeX]
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
[BibTeX]
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
[BibTeX]
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)
[BibTeX]
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)
[BibTeX]
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)
[BibTeX]
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
[BibTeX]
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)
[BibTeX]
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)
[BibTeX]
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
[BibTeX]
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)
[BibTeX]
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)
[BibTeX]
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)
[BibTeX]
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
[BibTeX]
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)
[BibTeX]
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)
[BibTeX]
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
[BibTeX]