LIN Rui (林睿)

LIN Rui (林睿)

E-mail: ruilin0212 [at] gmail [dot] com.

Publications

Journal

  • Lin, R. *, Li, C. *, Zhou, J., Huang, B., Ran, J., Wong, N. (2023). Lite it fly: An All-Deformable-Butterfly Network. Brief Paper in the IEEE Transactions on Neural Networks and Learning Systems (TNNLS). [PDF & Codes Coming Soon]
  • Mao, R., Wen, B., Arman, K., Zhao Y., Ann Franchesca, L., Lin, R., Wong, N., Michael, N., Hu, X., Sheng, X., Catherine, G., John Paul, S. & Li, C. (2022). Experimentally Realized Memristive Memory Augmented Neural Network. Nature Communications. [PDF]
  • Tao, C. *, Lin, R. *, Chen, Q., Zhang, Z., Luo, P., & Wong, N. (2022). FAT: Learning Low-Bitwidth Parametric Representation via Frequency-Aware Transformation. IEEE Transactions on Neural Networks and Learning Systems (TNNLS). [PDF][Codes]
  • Xiao, X., Wang, J., Lin, R., Hill, D. J., & Kang, C. (2020). Large-scale aggregation of prosumers toward strategic bidding in joint energy and regulation markets. Applied Energy, 271, 115159. [PDF]

Conference

  • Li, C. *, Lin, R. *, Zhou, J., Lam, E., Wong, N. (2023). A Unifying Tensorview for Lightweight CNNs. In proceeding of the 15th International Conference on ASIC (ASICON’23). [PDF Coming Soon]
  • Huang, B., Tao, C., Lin, R., Wong, N. (2023). Frequency Regularization for Improving Adversarial Robustness. In proceedings of the 2nd International Workshop on Practical Deep Learning in the Wild at the AAAI Conference on Artificial Intelligence (Workshop at AAAI’23) [PDF][Codes]
  • Ran, J., Lin, R., Li, C., Zhou, J., Wong, N. (2023). PECAN: A Product-Quantized Content Addressable Memory Network. In proceedings of the Design, Automation and Test in Europe Conference (DATE’23) [PDF]
  • Lin, R., Cong, C. & Wong, N. (2022). Coarse to Fine: Image Restoration Boosted by Multi-Scale Low-Rank Tensor Completion. In 2022 26th International Conference on Pattern Recognition (ICPR’22), IEEE. [PDF][Codes][Poster]
  • Lin, R. *, Ran, J. *, Chiu, K. H., Chesi, G. & Wong, N. * (2021). Deformable Butterfly: A Highly Structured and Sparse Linear Transform. In proceedings of the Advances in Neural Information Processing Systems (NeurIPS’21) [PDF][Codes][Slides][Poster]
  • Lin, R. *, Ran, J. *, Wang, D., Chiu, K. H., & Wong, N. (2021). EZCrop: Energy-Zoned Channels for Robust Output Pruning. In proceeding of the Winter Conference on Applications of Computer Vision (WACV’22). [PDF][Codes][Slides][Poster]
  • Cheng, Y., Lin, R., Zhen, P., Hou, T., … & Wong, N. (2021). FASSST: Fast Attention Based Single-Stage Segmentation Net for Real-Time Instance Segmentation. In proceeding of the Winter Conference on Applications of Computer Vision (WACV’22). [PDF][Slides][Poster]
  • Ren, Y.*, Lin, R. *, Ran, J., Liu, C., Tao, C., Wang, Z., Li, C. & Wong, N *. (2021). BATMANN: A Binarized-All-Through Memory-Augmented Neural Network for Efficient In-Memory Computing. In proceeding of IEEE 14th International Conference on ASIC (ASICON’21). [PDF][Codes][Slides]
  • Ran, J.*, Lin, R. *, So, H. K., Chesi, G. & Wong, N. (2021, January). Exploiting Elasticity in Tensor Ranks for Compressing Neural Networks. In 2020 25th International Conference on Pattern Recognition (ICPR’20) (pp. 9866-9873). IEEE. [PDF][Codes][Slides]
  • Lin, R., Ko, C. Y., He, Z., Chen, C., Cheng, Y., Yu, H., … & Wong, N. (2020, November). HOTCAKE: Higher Order Tucker Articulated Kernels for Deeper CNN Compression. In 2020 IEEE 15th International Conference on Solid-State & Integrated Circuit Technology (ICSICT’20) (pp. 1-4). IEEE. [PDF][Codes][Slides]
  • Ko, C. Y., Lin, R., Li, S., & Wong, N. (2019). MiSC: mixed strategies crowdsourcing. Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence Main track (IJCAI’19). Pages 1394-1400. [PDF][Codes][Slides]

* Equal Authorship Statement