| 2019 | IJCNN | Attention-driven Multi-sensor Selection. | Stefan Braun, Daniel Neil, Jithendar Anumula, Enea Ceolini, Shih-Chii Liu |
| 2019 | ISCAS | Lip Reading Deep Network Exploiting Multi-Modal Spiking Visual and Auditory Sensors. | Xiaoya Li, Daniel Neil, Tobi Delbruck, Shih-Chii Liu |
| 2018 | FPGA | DeltaRNN: A Power-efficient Recurrent Neural Network Accelerator. | Chang Gao, Daniel Neil, Enea Ceolini, Shih-Chii Liu, Tobi Delbruck |
| 2018 | ICLR | Exploring Deep Recurrent Models with Reinforcement Learning for Molecule Design. | Daniel Neil, Marwin H. S. Segler, Laura Guasch, Mohamed Ahmed, Dean Plumbley, Matthew Sellwood, Nathan Brown |
| 2018 | Interspeech | Multi-channel Attention for End-to-End Speech Recognition. | Stefan Braun, Daniel Neil, Jithendar Anumula, Enea Ceolini, Shih-Chii Liu |
| 2017 | ICML | Delta Networks for Optimized Recurrent Network Computation. | Daniel Neil, Junhaeng Lee, Tobi Delbruck, Shih-Chii Liu |
| 2017 | ISCAS | Live demonstration: Event-driven real-time spoken digit recognition system. | Jithendar Anumula, Daniel Neil, Xiaoya Li, Tobi Delbruck, Shih-Chii Liu |
| 2016 | ISCAS | Live demonstration: Event-driven deep neural network hardware system for sensor fusion. | Ilya Kiselev, Daniel Neil, Shih-Chii Liu |
| 2016 | ISCAS | Event-driven deep neural network hardware system for sensor fusion. | Ilya Kiselev, Daniel Neil, Shih-Chii Liu |
| 2016 | ISCAS | Combined frame- and event-based detection and tracking. | Hongjie Liu, Diederik Paul Moeys, Gautham P. Das, Daniel Neil, Shih-Chii Liu, Tobi Delbrck |
| 2016 | ISCAS | Effective sensor fusion with event-based sensors and deep network architectures. | Daniel Neil, Shih-Chii Liu |
| 2016 | SAC | Learning to be efficient: algorithms for training low-latency, low-compute deep spiking neural networks. | Daniel Neil, Michael Pfeiffer, Shih-Chii Liu |
| 2015 | IJCNN | Fast-classifying, high-accuracy spiking deep networks through weight and threshold balancing. | Peter U. Diehl, Daniel Neil, Jonathan Binas, Matthew Cook, Shih-Chii Liu, Michael Pfeiffer |
| 2015 | IJCNN | Scalable energy-efficient, low-latency implementations of trained spiking Deep Belief Networks on SpiNNaker. | Evangelos Stromatias, Daniel Neil, Francesco Galluppi, Michael Pfeiffer, Shih-Chii Liu, Steve B. Furber |
| 2015 | ISCAS | Live demonstration: Handwritten digit recognition using spiking deep belief networks on SpiNNaker. | Evangelos Stromatias, Daniel Neil, Francesco Galluppi, Michael Pfeiffer, Shih-Chii Liu, Steve B. Furber |