Found 673 results
Type [ Year(Asc)]
J Zhang, N Inkawhich, R Linderman, Y Chen, and H Li. "Mixture Outlier Exposure: Towards Out-of-Distribution Detection in Fine-grained Environments." In Proceedings - 2023 IEEE Winter Conference on Applications of Computer Vision, WACV 2023, 5520-5529. 2023.
B Kim, and H Li. "Monolithic 3D stacking for neural network acceleration." Nature Electronics 6, no. 12 (2023): 937-938.
HH Li. "MWSCAS Guest Editorial Special Issue Based on the 64th International Midwest Symposium on Circuits and Systems." Ieee Transactions on Circuits and Systems I: Regular Papers 70, no. 1 (2023): 1-2.
T Zhang, D Cheng, Y He, Z Chen, X Dai, L Xiong, F Yan, H Li, Y Chen, and W Wen. "NASRec: Weight Sharing Neural Architecture Search for Recommender Systems." In ACM Web Conference 2023 - Proceedings of the World Wide Web Conference, WWW 2023, 1199-1207. 2023.
X Yang, Z Wang, XS Hu, CH Kim, S Yu, M Pajic, R Manohar, Y Chen, and HH Li. "Neuro-Symbolic Computing: Advancements and Challenges in Hardware-Software Co-Design." Ieee Transactions on Circuits and Systems Ii: Express Briefs (2023): 1.
Q Zhang, S Li, G Zhou, J Pan, CC Chang, Y Chen, and Z Xie. "PANDA: Architecture-Level Power Evaluation by Unifying Analytical and Machine Learning Solutions." In Ieee/Acm International Conference on Computer Aided Design, Digest of Technical Papers, Iccad. 2023.
C Wu, X Yang, Y Chen, and M Li. "Photonic Bayesian Neural Network Using Programmed Optical Noises." Ieee Journal of Selected Topics in Quantum Electronics 29, no. 2 (2023).
R Petri, GL Zhang, Y Chen, U Schlichtmann, and B Li. "PowerPruning: Selecting Weights and Activations for Power-Efficient Neural Network Acceleration." In Proceedings Design Automation Conference. Vol. 2023-July. 2023.
BK Joardar,, H Li, K Chakrabarty, and PP Pande. "ReaLPrune: ReRAM Crossbar-Aware Lottery Ticket Pruning for CNNs." Ieee Transactions on Emerging Topics in Computing 11, no. 2 (2023): 303-317.
J Zhang, A Muhamed, A Anantharaman, G Wang, C Chen, K Zhong, Q Cui, Y Xu, B Zeng, T Chilimbi et al. "ReAugKD: Retrieval-Augmented Knowledge Distillation For Pre-trained Language Models." In Proceedings of the Annual Meeting of the Association for Computational Linguistics, 1128-1136. Vol. 2. 2023.
L Song, F Chen, H Li, and Y Chen. "ReFloat: Low-Cost Floating-Point Processing in ReRAM for Accelerating Iterative Linear Solvers." In Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, SC 2023. 2023.
CC Chang, J Pan, Z Xie, J Hu, and Y Chen. "Rethink before Releasing Your Model: ML Model Extraction Attack in EDA." In Proceedings of the Asia and South Pacific Design Automation Conference, ASP-DAC, 252-257. 2023.
E Hanson, S Li, G Zhou, F Cheng, Y Wang, R Bose, HH Li, and Y Chen. "Si-Kintsugi: Towards Recovering Golden-Like Performance of Defective Many-Core Spatial Architectures for AI." In Proceedings of the 56th Annual IEEE/ACM International Symposium on Microarchitecture, MICRO 2023, 972-985. 2023.
Z Li, Q Zheng, Y Chen, and H Li. "SpikeSen: Low-Latency In-Sensor-Intelligence Design With Neuromorphic Spiking Neurons." Ieee Transactions on Circuits and Systems Ii: Express Briefs 70, no. 6 (2023): 1876-1880.
Z Gao, Y Chen, and T Chen. "Swirls: Sniffing Wi-Fi Using Radios with Low Sampling Rates." In Proceedings of the International Symposium on Mobile Ad Hoc Networking and Computing (MobiHoc), 260-269. 2023.
CC Chang, J Pan, Z Xie, T Zhang, J Hu, and Y Chen. "Towards Fully Automated Machine Learning for Routability Estimator Development." Ieee Transactions on Computer Aided Design of Integrated Circuits and Systems (2023).
B Yan, JL Hsu, PC Yu, CC Lee, Y Zhang, W Yue, G Mei, Y Yang, H Li, Y Chen et al. "A 1.041-Mb/mm227.38-TOPS/W Signed-INT8 Dynamic-Logic-Based ADC-less SRAM Compute-in-Memory Macro in 28nm with Reconfigurable Bitwise Operation for AI and Embedded Applications." In Digest of Technical Papers Ieee International Solid State Circuits Conference, 188-190. Vol. 2022-February. 2022.
J Zhang, J Tang, Y Chen, J Liu, J Ye, M Wolf, V Narayanan, M Srivastava, MI Jordan, and V Bahl. "The 5th Artificial Intelligence of Things (AIoT) Workshop." In Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 4912-4913. 2022.
C Ogbogu, AI Arka, BK Joardar,, H Li, K Chakrabarty, and PP Pande. "Accelerating Large-Scale Graph Neural Network Training on Crossbar Diet." Ieee Transactions on Computer Aided Design of Integrated Circuits and Systems 41, no. 11 (2022): 3626-3637.
Z Li, Q Zheng, B Yan, R Huang, B Li, and Y Chen. "ASTERS: Adaptable Threshold Spike-timing Neuromorphic Design with Twin-Column ReRAM Synapses." In Proceedings Design Automation Conference, 1099-1104. 2022.
Z Gao, M Tang, A Li, and Y Chen. "An Audio Frequency Unfolding Framework for Ultra-Low Sampling Rate Sensors." In Proceedings International Symposium on Quality Electronic Design, Isqed. Vol. 2022-April. 2022.
G Feng, B Kim, and HH Li. "Bionic Robust Memristor-Based Artificial Nociception System for Robotics." In Proceedings Ieee International Symposium on Circuits and Systems, 3552-3556. Vol. 2022-May. 2022.
X Chen, D Li, Y Chen, and J Xiong. "Boosting the sensing granularity of acoustic signals by exploiting hardware non-linearity." In HotNets 2022 - Proceedings of the 2022 21st ACM Workshop on Hot Topics in Networks, 53-59. 2022.
X Yang, H Yang, J Zhang, HH Li, and Y Chen. "On Building Efficient and Robust Neural Network Designs." In Conference Record Asilomar Conference on Signals, Systems and Computers, 317-321. Vol. 2022-October. 2022.
E Hanson, S Li, HH Li, and Y Chen. "Cascading Structured Pruning: Enabling High Data Reuse for Sparse DNN Accelerators." In Proceedings International Symposium on Computer Architecture, 522-535. 2022.