Peiyan (Peggie) Dong
Peiyan (Peggie) Dong
Northeastern University
Verified email at - Homepage
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SPViT: Enabling Faster Vision Transformers via Soft Token Pruning
Z Kong*, P Dong*, X Ma, X Meng, W Niu, M Sun, B Ren, M Qin, H Tang, ...
2022 ECCV, 2022
Rtmobile: Beyond real-time mobile acceleration of rnns for speech recognition
P Dong, S Wang, W Niu, C Zhang, S Lin, Z Li, Y Gong, B Ren, X Lin, ...
2020 DAC, 1-6, 2020
NS-FDN: Near-sensor processing architecture of feature-configurable distributed network for beyond-real-time always-on keyword spotting
Q Li, C Liu, P Dong, Y Zhang, T Li, S Lin, M Yang, F Qiao, Y Wang, L Luo, ...
2021 TCSI 68 (5), 1892-1905, 2021
Csb-rnn: A faster-than-realtime rnn acceleration framework with compressed structured blocks
R Shi*, P Dong*, T Geng, Y Ding, X Ma, HKH So, M Herbordt, A Li, ...
2020 ICS, 1-12, 2020
Quantum Neural Network Compression
Z Hu, P Dong, Z Wang, Y Lin, Y Wang, W Jiang
2022 ICCAD, 2022
Grim: A general, real-time deep learning inference framework for mobile devices based on fine-grained structured weight sparsity
W Niu, Z Li, X Ma, P Dong, G Zhou, X Qian, X Lin, Y Wang, B Ren
2021 TPAMI 44 (10), 6224-6239, 2021
Darb: A density-adaptive regular-block pruning for deep neural networks
R Ao, Z Tao, W Yuhao, L Sheng, D Peiyan, C Yen-kuang, X Yuan, ...
2020 AAAI 34 (04), 5495-5502, 2020
Peeling the Onion: Hierarchical Reduction of Data Redundancy for Efficient Vision Transformer Training
Z Kong, H Ma, G Yuan, M Sun, Y Xie, P Dong, X Meng, X Shen, H Tang, ...
2023 AAAI, 2022
HeatViT: Hardware-Efficient Adaptive Token Pruning for Vision Transformers
P Dong, M Sun, A Lu, Y Xie, K Liu, Z Kong, X Meng, Z Li, X Lin, Z Fang, ...
2023 HPCA, 2022
The Lottery Ticket Hypothesis for Vision Transformers
X Shen, Z Kong, M Qin, P Dong, G Yuan, X Meng, H Tang, X Ma, Y Wang
2022 IJCAI, 2022
TAAS: A timing-aware analytical strategy for AQFP-Capable placement automation
P Dong, Y Xie, H Li, M Sun, O Chen, N Yoshikawa, Y Wang
2022 DAC, 1321-1326, 2022
Mobile or FPGA? A comprehensive evaluation on energy efficiency and a unified optimization framework
G Yuan*, P Dong*, M Sun*, W Niu, Z Li, Y Cai, J Liu, W Jiang, X Lin, ...
2021 RTAS, 493-496, 2021
You Already Have It: A Generator-Free Low-Precision DNN Training Framework Using Stochastic Rounding
G Yuan, SE Chang, Q Jin, A Lu, Y Li, Y Wu, Z Kong, Y Xie, P Dong, M Qin, ...
2022 ECCV, 34-51, 2022
PackQViT: Faster Sub-8-bit Vision Transformers via Full and Packed Quantization on the Mobile
P Dong, L Lu, C Wu, C Lyu, G Yuan, H Tang, Y Wang
2023 Neurips, 2023
HotBEV: Hardware-oriented Transformer-based Multi-View 3D Detector for BEV Perception
P Dong, Z Kong, X Meng, P Yu, Y Gong, G Yuan, H Tang, Y Wang
2023 Neurips, 2023
SpeedDETR: Speed-aware Transformers for End-to-end Object Detection
P Dong, Z Kong, X Meng, P Zhang, H Tang, Y Wang, CH Chou
2023 ICML, 2023
Floating Gate Transistor‐Based Accurate Digital In‐Memory Computing for Deep Neural Networks
Runze Han, Peng Huang, Yachen Xiang, Hong Hu, Sheng Lin, Peiyan Dong ...
2022 Advanced Intelligent Systems, 2022
Mobile or FPGA? A Comprehensive Evaluation on Energy Efficiency and a Unified Optimization Framework
G Yuan*, P Dong*, M Sun, W Niu, Z Li, Y Cai, Y Li, J Liu, W Jiang, X Lin, ...
2022 TECS, 2022
Puncturing the memory wall: Joint optimization of network compression with approximate memory for ASR application
Q Li*, P Dong*, Z Yu, C Liu, F Qiao, Y Wang, H Yang
2021 ASP-DAC, 505-511, 2021
Darb: A density-aware regular-block pruning for deep neural networks
A Ren, T Zhang, Y Wang, S Lin, P Dong, Y Chen, Y Xie, Y Wang
2019 AAAI, 2019
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