Publications
Teacher-Student Networks with Multiple Decoders for Solving Math Word Problem
Jipeng ZHANG, Roy Ka-Wei LEE, Lei WANG, Wei QIN, Qiangru SUN, Jie SHAO, and Ee-Peng LIM, 29th International Joint Conference on Artificial Intelligence and the 17th Pacific Rim International Conference on Artificial Intelligence (IJCAI-PRICAI’20).
The best of both worlds: A general architecture for data management in blockchain-enabled Internet-of-Things
Zehui Xiong, Yang Zhang, Nguyen Cong Luong, Dusit Niyato, Ping Wang, and Nadra Guizani, IEEE Network, vol. 34, no. 1, pp. 166-173, 2020, vol. 34, 166-173
The impact of Audio input representations on neural network based music transcription
Cheuk K.W., Agres K., Herremans D., 2020. Proceedings of the International Joint Conference on Neural Networks (IJCNN)., https://dorienherremans.com/sites/default/files/2001.09989.pdf
Towards best practice in explaining neural network decisions with LRP
M Kohlbrenner, A Bauer, S Nakajima, A Binder, W Samek, S Lapuschkin, International Joint Conference on Neural Networks (IJCNN), 1-7, https://ieeexplore.ieee.org/document/9206975
Towards Concurrent Stateful Stream Processing on Multicore Processors
Shuhao Zhang, Yingjun Wu, Feng Zhang, Bingsheng He, IEEE ICDE 2020
Understanding Image Captioning Models beyond Visualizing Attention
J Sun, S Lapuschkin, W Samek, A Binder, arXiv preprint, arXiv, 2001.01037, https://arxiv.org/pdf/2001.01037
Understanding Integrated Gradients with SmoothTaylor for Deep Neural Network Attribution
GSW Goh, S Lapuschkin, L Weber, W Samek, A Binder, ICPR 2020, https://arxiv.org/pdf/2004.10484
Unsupervised disentanglement of pitch and timbre for isolated musical instrument sounds
Luo Y.J., Cheuk K.W., Nakano T., Goto M., Herremans D., 2020. Proceedings of the International Society of Music Information Retrieval (ISMIR)., https://arxiv.org/abs/1906.08152
XFi: Cross-technology IoT Data Collection via Commodity WiFi
Ruofeng Liu, Zhimeng Yin, Wenchao Jiang, and Tian He, Proceedings of the 2020 IEEE International Conference on Network Protocols (ICNP’20).
First-order methods Almost Always Avoid Saddle Points: The case of Vanishing Step-sizes
Ioannis Panageas, Xiao Wang and Georgios Piliouras, 33rd Conference on Neural Information Processing Systems (NeurIPS), Vancouver, Canada