Publications

Lingheng Meng, Rob Gorbet, Michael Burke, Dana Kulić (2026). Multi-step first: A lightweight deep reinforcement learning strategy for robust continuous control with partial observability. Neural Networks, vol. 199, p. 108521.

Emmanuel Fashae, Michael Burke, Leimin Tian, Lingheng Meng, Pamela Carreno-Medrano (2026). Explaining Why Things Go Where They Go: Interpretable Constructs of Human Organizational Preferences. In ACM/IEEE International Conference on Human-Robot Interaction (HRI 2026), Edinburgh, Scotland.

J. S. Ong, Lingheng Meng, B. Tidd, Y. Chen, D. Kulić, H. Chung (2026). Towards Perception-Aware Shared Autonomy: A Multimodal Teleoperation Dataset for Fragile Object Manipulation. In IEEE International Conference on Robot and Human Interactive Communication (RO-MAN 2026).

Mingjie Li, Ben Beck, Tharindu Rathnayake, Lingheng Meng, Zijue Chen, Akansel Cosgun, Xiaojun Chang, Dana Kulić (2025). A Benchmark for Cycling Close Pass Detection from Video Streams. Transportation Research Part C: Emerging Technologies, vol. 174, p.105112.

Ben Beck, Tharindu Rathnayake, Dana Kulić, Mingjie Li, Lingheng Meng, Zijue Chen, Akansel Cosgun (2023). Detecting Near-Miss Events with Cyclists Using Computer Vision Approaches. In Australasian Road Safety Conference 2023, Cairns, QLD, Australia.

Lingheng Meng, Rob Gorbet, Dana Kulić (2021). Memory-based Deep Reinforcement Learning for POMDPs. In 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2021), Prague, Czech Republic.

Lingheng Meng, Daiwei Lin, Adam Francey, Rob Gorbet, Philip Beesley, Dana Kulić (2021). Learning to Engage with Interactive Systems: A Field Study on Deep Reinforcement Learning in a Public Museum. ACM Transactions on Human-Robot Interaction (THRI), vol. 10, no. 1, pp. 1-29.

Lingheng Meng, Rob Gorbet, Dana Kulić (2021). The Effect of Multi-step Methods on Overestimation in Deep Reinforcement Learning. In 25th International Conference on Pattern Recognition (ICPR 2020), Milan, Italy.

Lingheng Meng, Shifei Ding, Nan Zhang, Jian Zhang (2018). The Research of Stacked Denoising Sparse Autoencoder. Neural Computing and Applications, pp. 1-18.

Kanata Kumagai, Daiwei Lin, Lingheng Meng, Anca Blidaru, Philip Beesley, Dana Kulić, Ikuo Mizuuchi (2018). Towards Individualized Affective Human-Machine Interaction. In IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN 2018).