Publications

Lingheng Meng, Rob Gorbet, Michael Burke, Dana Kulic (2025). Experimental Study on The Effect of Multi-step Deep Reinforcement Learning in POMDPs. Neural Networks, Elsevier.

Mingjie Li, Ben Beck, Tharindu Rathnayake, Lingheng Meng, Zijue Chen, Akansel Cosgun, Xiaojun Chang, Dana Kulic (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 Kulic, 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 Kulic (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 Kulic (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. 5, pp. 1-29.

Lingheng Meng, Rob Gorbet, Dana Kulic (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 Kulic, Ikuo Mizuuchi (2018). Towards Individualized Affective Human-Machine Interaction. In IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN 2018).

Lingheng Meng, Shifei Ding, Yu Xue (2017). Research on Denoising Sparse Autoencoder. International Journal of Machine Learning and Cybernetics, vol. 8, no. 5, pp. 1719-1729.

Shifei Ding, Lingheng Meng, Yanqiao Han, Yu Xue (2017). A Review on Feature Binding Theory and Its Applications in Perceptual Learning. Cognitive Computation, vol. 9, no. 2, pp. 194-206.