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Elliot He
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[1]Elliot He. MetaGater: Fast Learning of Conditional Channel Gated Networks via Federated Meta-Learning IEEE International Conference on Mobile Ad-Hoc and Smart Systems, 2021,
[2]Elliot He. Bit-Transformer: Transforming Bit-level Sparsity into Higher Preformance in ReRAM-based Accelerator 2021 IEEE/ACM INTERNATIONAL CONFERENCE ON COMPUTER AIDED DESIGN (ICCAD), 2021,
[3] Cross-layer Designs against Non-ideal Effects in ReRAM-based Processing-in-Memory System Proceedings - International Symposium on Quality Electronic Design, ISQED, 2022,
[4]Elliot He. BISWSRBS: AWinograd-based CNN Accelerator with a Fine-grained Regular Sparsity Pattern and Mixed PrecisionQuantization ACM TRANSACTIONS ON RECONFIGURABLE TECHNOLOGY AND SYSTEMS, 2021,
[5]Elliot He. A Ternary Memristive Logic-in-Memory Design for Fast Data Scan 2021 IEEE International Conference on Integrated Circuits, Technologies and Applications, ICTA 2021, 2021,
[6]Elliot He. A Progressive Subnetwork Searching Framework for Dynamic Inference IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022,
[7] CMP-PIM: an energy efficient comparator-based processing-in-memory neural network accelerator Proceedings of the 55th Annual Design Automation Conference, 2018,
[8]Elliot He. Improving Neural Network Efficiency via Post-Training Quantization With Adaptive Floating-Point IEEE/CVF International Conference on Computer Vision, 2021,
[9]Elliot He. KSM: Fast Multiple Task Adaption via Kernel-wise Soft Mask Learning IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2021,
[10]Elliot He. PIMGCN: A ReRAM-Based PIM Design for Graph Convolutional Network Acceleration Proceedings - Design Automation Conference, 2021,
[11]Elliot He. T-BFA: Targeted Bit-Flip Adversarial Weight Attack IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021,
[12]Elliot He. Unary Coding and Variation-Aware Optimal Mapping Scheme for Reliable ReRAM-Based Neuromorphic Computing IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2021,
[13] AdaptiveGCN: Efficient GCN through Adaptively Sparsifying Graphs International Conference on Information and Knowledge Management, Proceedings, 2021,
[14]Elliot He. Non-Structured DNN Weight Pruning--Is It Beneficial in Any Platform? IEEE Transactions on Neural Networks and Learning Systems, 2021,
[15] Energy-Efficient Hybrid-RAM with Hybrid Bit-Serial based VMM Support Proceedings of the ACM Great Lakes Symposium on VLSI, GLSVLSI, 2021,
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