| Spvit: Enabling faster vision transformers via latency-aware soft token pruning Z Kong, P Dong, X Ma, X Meng, W Niu, M Sun, X Shen, G Yuan, B Ren, ... European conference on computer vision, 620-640, 2022 | 155 | 2022 |
| Cross-dataset Time Series Anomaly Detection for Cloud Systems. X Zhang, Q Lin, Y Xu, S Qin, H Zhang, B Qiao, Y Dang, X Yang, Q Cheng, ... [ATC 2019] USENIX Annual Technical Conference, 1063-1076, 2019 | 87 | 2019 |
| 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, ... HPCA 2023, 2023 | 28 | 2023 |
| 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, ... AAAI 2023, 2022 | 14 | 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 [IJCAI-23] Proceedings of the 32nd International Joint Conference on ¡K, 2022 | 6* | 2022 |
| Dynamic Multi-Granularity Spatial-Temporal Graph Attention Network for Traffic Forecasting PS Wei Sang, Huiliang Zhang, Xianchang Kang, Ping Nie, Xin Meng, Benoit Boulet Information Sciences, 2024 | 2 | 2024 |
| 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 (Thirty-seventh Conference on Neural Information Processing ¡K, 2023 | 2 | 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 ICML 2023, 2023 | 1 | 2023 |
| HFSP: A Hardware-friendly Soft Pruning Framework for Vision Transformers Z Kong, P Dong, X Ma, X Meng, M Sun, W Niu, B Ren, M Qin, H Tang, ... | 1 | |
| Enabling Faster Vision Transformers via Soft Token Pruning YW Zhenglun Kong*, Peiyan Dong*, Xin Meng, Mengshu Sun, Wei Niu, Xuan Shen ... T4V: Transformers for Vision, CVPR 2022 (Spotlight), 2022 | | 2022 |
| RAIM and AUKF for GNSS Performance Enhancement in Multi-Constellation FC Meng, X Meng, L Tao, JR Sun, Z Niu, BC Zhu Proceedings of the 2017 International Technical Meeting of The Institute of ¡K, 2017 | | 2017 |
| HeatDETR: Hardware-Efficient DETR with Device-Adaptive Thinning P Dong, X Meng, P ZHANG, H Tang, Y Wang, CH Chou | | |
Peiyan (Peggie) DongMIT, Koch InstituteVerified email at mit.edu
