Cheng, Longbiao and Pandey, Ashutosh and Xu, Buye and Delbruck, Tobi and Krishna Ithapu, Vamsi and Liu, Shih-Chii Modulating State Space Model with SlowFast Framework for Compute-Efficient Ultra Low-Latency Speech Enhancement, ArXiv, 2024

Cheng, Longbiao and Pandey, Ashutosh and Xu, Buye and Delbruck, Tobi and Liu, Shih-Chii Dynamic Gated Recurrent Neural Network for Compute-efficient Speech Enhancement, Interspeech 2024 677-681, 2024

Pehuen Moure, L.ongbiao Cheng, Joachim Ott, Zuowen Wang, and Shih-Chii Liu Regularized parameter uncertainty for improving generalization in reinforcement learning, Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition 23805-23814, 2024

Xi Chen, Chang Gao, Zuowen Wang, Longbiao Cheng, Sheng Zhou, Shih-Chii Liu, Tobi Delbruck Exploiting Symmetric Temporally Sparse BPTT for Efficient RNN Training, The AAAI Conference on Artificial Intelligence (AAAI), 2024

Zuowen Wang, Longbiao Cheng, Joachim Ott, Pehuen Moure, Shih-Chii Liu Bio-inspired parameter reuse: Exploiting inter-frame representation similarity with recurrence for accelerating temporal visual processing, UniReps Workshop in Proceedings of Machine Learning Research (PMLR) 209-222, 2024

Zuowen Wang, Pehuen Moure, Longbiao Cheng, Niklas Hahn, and Shih-Chii Liu DeltaDEQ: Exploiting Heterogeneous Convergence for Accelerating Deep Equilibrium Iterations, Thirty-Eighth Annual Conference on Neural Information Processing Systems (NeurIPS 2024), 2024

Xi Chen, Chang Gao, Zuowen Wang, Longbiao Cheng, Sheng Zhou, Shih-Chii Liu, Tobi Delbruck Exploiting symmetric temporally sparse BPTT for efficient RNN training, Advances in Neural Information Processing Systems (NeurIPS) 2023 Workshop, 2023

Zuowen Wang, Longbiao Cheng, Joachim Ott, Pehuen Moure, Shih-Chii Liu Bio-inspired parameter reuse: Exploiting inter-frame representation similarity with recurrence for accelerating temporal visual processing, Advances in Neural Information Processing Systems (NeurIPS) 2023 Workshop, 2023