Publications

2020

Chen, Y. “2020: Looking Forward to the Next Decade [From the Editor].” IEEE Circuits and Systems Magazine 20, no. 1 (January 1, 2020): 3. https://doi.org/10.1109/MCAS.2019.2962260.

Ho, T. Y., S. Tan, and Y. Chen. “Message from the Technical Program Committee.” In Proceedings of the Asia and South Pacific Design Automation Conference ASP DAC, 2020-January:2, 2020. https://doi.org/10.1109/ASP-DAC47756.2020.9045704.

Taylor, B., Z. Li, B. Yan, H. Li, and Y. Chen. “Highly efficient neuromorphic computing systems with emerging nonvolatile memories.” In Proceedings of SPIE the International Society for Optical Engineering, Vol. 11324, 2020. https://doi.org/10.1117/12.2554915.

Wen, W., H. Liu, Y. Chen, H. Li, G. Bender, and P. J. Kindermans. “Neural Predictor for Neural Architecture Search.” In Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 12374 LNCS:660–76, 2020. https://doi.org/10.1007/978-3-030-58526-6_39.

Inkawhich, N., K. J. Liang, L. Carin, and Y. Chen. “TRANSFERABLE PERTURBATIONS OF DEEP FEATURE DISTRIBUTIONS.” In 8th International Conference on Learning Representations Iclr 2020, 2020.

2019

Li, B., M. Mao, X. Liu, T. Liu, Z. Liu, W. Wen, Y. Chen, and H. H. Li. “Thread batching for high-performance energy-efficient GPU memory design.” ACM Journal on Emerging Technologies in Computing Systems 15, no. 4 (December 1, 2019). https://doi.org/10.1145/3330152.

Yan, B., M. Liu, Y. Chen, K. Chakrabarty, and H. Li. “On Designing Efficient and Reliable Nonvolatile Memory-Based Computing-In-Memory Accelerators.” In Technical Digest International Electron Devices Meeting Iedm, Vol. 2019-December, 2019. https://doi.org/10.1109/IEDM19573.2019.8993562.

Xu, Y., Y. Li, S. Zhang, W. Wen, B. Wang, W. Dai, Y. Qi, Y. Chen, W. Lin, and H. Xiong. “Trained Rank Pruning for Efficient Deep Neural Networks.” In Proceedings 5th Workshop on Energy Efficient Machine Learning and Cognitive Computing Emc2 Nips 2019, 14–17, 2019. https://doi.org/10.1109/EMC2-NIPS53020.2019.00011.

Zhang, J., H. Yang, F. Chen, Y. Wang, and H. Li. “Exploring Bit-Slice Sparsity in Deep Neural Networks for Efficient ReRAM-Based Deployment.” In Proceedings 5th Workshop on Energy Efficient Machine Learning and Cognitive Computing Emc2 Nips 2019, 1–5, 2019. https://doi.org/10.1109/EMC2-NIPS53020.2019.00008.

Sangvai, Devdutta G., and Anthony J. Viera. Preface. Vol. 46, 2019. https://doi.org/10.1016/j.pop.2019.09.001.

Song, L., Y. Wu, X. Qian, H. Li, and Y. Chen. “ReBNN: in-situ acceleration of binarized neural networks in ReRAM using complementary resistive cell.” Ccf Transactions on High Performance Computing 1, no. 3–4 (December 1, 2019): 196–208. https://doi.org/10.1007/s42514-019-00014-8.

Li, A., C. Wu, Y. Chen, and B. Ni. “An efficient mobile-edge collaborative system for video photorealistic style transfer.” In Proceedings of the 4th ACM IEEE Symposium on Edge Computing Sec 2019, 344–45, 2019. https://doi.org/10.1145/3318216.3363332.

Li, A., C. Wu, Y. Chen, and B. Ni. “Poster abstract: An efficient edge-assisted mobile system for video photorealistic style transfer.” In Proceedings of the 4th ACM IEEE Symposium on Edge Computing Sec 2019, 332–33, 2019. https://doi.org/10.1145/3318216.3364545.

Gan, Z. H., X. L. Chai, D. J. Han, and Y. R. Chen. “A chaotic image encryption algorithm based on 3-D bit-plane permutation.” Neural Computing and Applications 31, no. 11 (November 1, 2019): 7111–30. https://doi.org/10.1007/s00521-018-3541-y.

Chen, F., W. Wen, L. Song, J. Zhang, H. H. Li, and Y. Chen. “How to obtain and run light and efficient deep learning networks.” In IEEE ACM International Conference on Computer Aided Design Digest of Technical Papers Iccad, Vol. 2019-November, 2019. https://doi.org/10.1109/ICCAD45719.2019.8942106.

Yang, Q., J. Mao, Z. Wang, and H. Li. “DASNet: Dynamic activation sparsity for neural network efficiency improvement.” In Proceedings International Conference on Tools with Artificial Intelligence Ictai, 2019-November:1401–5, 2019. https://doi.org/10.1109/ICTAI.2019.00197.

Chaudhuri, A., B. Yan, Y. Chen, and K. Chakrabarty. “Hardware fault tolerance for binary RRAM crossbars.” In Proceedings International Test Conference, Vol. 2019-November, 2019. https://doi.org/10.1109/ITC44170.2019.9000179.

Yan, Bonan, Bing Li, Ximing Qiao, Cheng-Xin Xue, Meng‐Fan Chang, Yiran Chen, and Hai Helen Li. “Resistive Memory‐Based In‐Memory Computing: From Device and Large‐Scale Integration System Perspectives.” Advanced Intelligent Systems 1, no. 7 (November 2019). https://doi.org/10.1002/aisy.201900068.

Bogdan, P., F. Chen, A. Deshwal, J. R. Doppa, B. K. Joardar, H. Li, S. Nazarian, L. Song, and Y. Xiao. “Taming extreme heterogeneity via machine learning based design of autonomous manycore systems.” In Proceedings of the International Conference on Hardware Software Codesign and System Synthesis Companion Codes Isss 2019, 2019. https://doi.org/10.1145/3349567.3357376.

Wu, C., A. Li, B. Li, and Y. Chen. “Efficiently Learning a Robust Self-Driving Model with Neuron Coverage Aware Adaptive Filter Reuse.” In IEEE Workshop on Signal Processing Systems Sips Design and Implementation, 2019-October:109–14, 2019. https://doi.org/10.1109/SiPS47522.2019.9020572.

Cheng, H. P., T. Zhang, Y. Yang, F. Yan, H. Teague, Y. Chen, and H. Li. “MSNet: Structural wired neural architecture search for internet of things.” In Proceedings 2019 International Conference on Computer Vision Workshop Iccvw 2019, 2033–36, 2019. https://doi.org/10.1109/ICCVW.2019.00254.

Wen, W., Y. Chen, and S. P. Mohanty. “Message from the General Chairs.” In Proceedings of IEEE Computer Society Annual Symposium on VLSI Isvlsi, 2019-July:xx, 2019. https://doi.org/10.1109/ISVLSI.2019.00005.

Mao, J., Q. Yang, A. Li, H. Li, and Y. Chen. “MobiEye: An efficient cloud-based video detection system for real-time mobile applications.” In Proceedings Design Automation Conference, 2019. https://doi.org/10.1145/3316781.3317865.

Xu, J., D. Feng, Y. Hua, W. Tong, J. Liu, C. Li, G. Xu, and Y. Chen. “Adaptive granularity encoding for energy-efficient non-volatile main memory.” In Proceedings Design Automation Conference, 2019. https://doi.org/10.1145/3316781.3317760.

Chen, F., L. Song, H. H. Li, and Y. Chen. “ZARA: A novel zero-free dataflow accelerator for generative adversarial networks in 3D ReRAM.” In Proceedings Design Automation Conference, 2019. https://doi.org/10.1145/3316781.3317936.