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2020 – today
- 2024
[j3]Hua Xu, Xuqiang Zheng, Zedong Wang, Chen Cai, Wenxiang Zhen, Guojun Yuan, Qinfen Hao, Xuan Guo, Zhi Jin:
A high-output-swing 64-Gb/s PAM-4 transmitter with a 4-tap hybrid FFE in 28-nm CMOS. IEICE Electron. Express 21(7): 20240104 (2024)- [j2]Lubin Zhai, Xiufeng Wang, Zeyiwen Si, Zedong Wang:
A Deep Learning Method for Bearing Cross-Domain Fault Diagnostics Based on the Standard Envelope Spectrum. Sensors 24(11): 3500 (2024) - [c10]Jiarui Li, Dongbin Wang, Hui Zhi, Wencheng Zhu, Jianing Li, Zedong Wang:
WBRP: Consensus Algorithm Based on Weak Proof of Work. Blockchain 2024: 269-275 - [c9]Yu He, Xuqiang Zhenq, Zedong Wang, Zunsong Yanq, Hua Xu, Fangxu Lv, Mingche Lai, Xinyu Liu:
An Injection-Locked Clock Multiplier with Adaptive Pulsewidth Adjustment and Phase Error Cancellation Achieving 43.9fs RMS Jitter and -255.5dB FoM. CICC 2024: 1-2 - [c8]Siyuan Li, Weiyang Jin, Zedong Wang, Fang Wu, Zicheng Liu, Cheng Tan, Stan Z. Li:
SemiReward: A General Reward Model for Semi-supervised Learning. ICLR 2024 - [c7]Siyuan Li, Zedong Wang, Zicheng Liu, Cheng Tan, Haitao Lin, Di Wu, Zhiyuan Chen, Jiangbin Zheng, Stan Z. Li:
MogaNet: Multi-order Gated Aggregation Network. ICLR 2024 - [c6]Zicheng Liu, Siyuan Li, Li Wang, Zedong Wang, Yunfan Liu, Stan Z. Li:
Short-Long Convolutions Help Hardware-Efficient Linear Attention to Focus on Long Sequences. ICML 2024 - [c5]Siyuan Li, Zedong Wang, Zicheng Liu, Di Wu, Cheng Tan, Jiangbin Zheng, Yufei Huang, Stan Z. Li:
VQDNA: Unleashing the Power of Vector Quantization for Multi-Species Genomic Sequence Modeling. ICML 2024 - [c4]Zicheng Liu, Li Wang, Siyuan Li, Zedong Wang, Haitao Lin, Stan Z. Li:
LongVQ: Long Sequence Modeling with Vector Quantization on Structured Memory. IJCAI 2024: 4614-4622 - [i11]Siyuan Li, Luyuan Zhang, Zedong Wang
, Di Wu, Lirong Wu, Zicheng Liu, Jun Xia, Cheng Tan, Yang Liu, Baigui Sun, Stan Z. Li:
Masked Modeling for Self-supervised Representation Learning on Vision and Beyond. CoRR abs/2401.00897 (2024) - [i10]Siyuan Li, Zicheng Liu, Juanxi Tian, Ge Wang, Zedong Wang, Weiyang Jin, Di Wu, Cheng Tan, Tao Lin, Yang Liu, Baigui Sun, Stan Z. Li:
Switch EMA: A Free Lunch for Better Flatness and Sharpness. CoRR abs/2402.09240 (2024) - [i9]Zicheng Liu, Li Wang, Siyuan Li, Zedong Wang, Haitao Lin, Stan Z. Li:
LongVQ: Long Sequence Modeling with Vector Quantization on Structured Memory. CoRR abs/2404.11163 (2024) - [i8]Siyuan Li, Zedong Wang, Zicheng Liu, Di Wu, Cheng Tan, Jiangbin Zheng, Yufei Huang, Stan Z. Li:
VQDNA: Unleashing the Power of Vector Quantization for Multi-Species Genomic Sequence Modeling. CoRR abs/2405.10812 (2024) - [i7]Zicheng Liu, Siyuan Li, Li Wang, Zedong Wang, Yunfan Liu, Stan Z. Li:
Short-Long Convolutions Help Hardware-Efficient Linear Attention to Focus on Long Sequences. CoRR abs/2406.08128 (2024) - [i6]Xin Jin, Hongyu Zhu, Siyuan Li, Zedong Wang, Zicheng Liu, Chang Yu, Huafeng Qin, Stan Z. Li:
A Survey on Mixup Augmentations and Beyond. CoRR abs/2409.05202 (2024) - [i5]Siyuan Li, Juanxi Tian, Zedong Wang, Luyuan Zhang, Zicheng Liu, Weiyang Jin, Yang Liu, Baigui Sun, Stan Z. Li:
Unveiling the Backbone-Optimizer Coupling Bias in Visual Representation Learning. CoRR abs/2410.06373 (2024) - 2023
- [c3]Cheng Tan, Siyuan Li, Zhangyang Gao, Wenfei Guan, Zedong Wang, Zicheng Liu, Lirong Wu, Stan Z. Li:
OpenSTL: A Comprehensive Benchmark of Spatio-Temporal Predictive Learning. NeurIPS 2023 - [i4]Cheng Tan, Siyuan Li, Zhangyang Gao, Wenfei Guan, Zedong Wang, Zicheng Liu, Lirong Wu, Stan Z. Li:
OpenSTL: A Comprehensive Benchmark of Spatio-Temporal Predictive Learning. CoRR abs/2306.11249 (2023) - [i3]Siyuan Li, Weiyang Jin, Zedong Wang, Fang Wu, Zicheng Liu, Cheng Tan, Stan Z. Li:
SemiReward: A General Reward Model for Semi-supervised Learning. CoRR abs/2310.03013 (2023) - 2022
- [c2]Wensheng Tian, Zhichao Yan, Zedong Wang, Weitao Dai, Panpan Tang, Lei Zhang:
Trusted Outsourced Computing Framework for Smart Contract of Permissioned Blockchain. SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta 2022: 2105-2111 - [i2]Siyuan Li, Zedong Wang, Zicheng Liu, Di Wu, Stan Z. Li:
OpenMixup: Open Mixup Toolbox and Benchmark for Visual Representation Learning. CoRR abs/2209.04851 (2022) - [i1]Siyuan Li, Zedong Wang, Zicheng Liu, Cheng Tan, Haitao Lin, Di Wu, Zhiyuan Chen, Jiangbin Zheng, Stan Z. Li:
Efficient Multi-order Gated Aggregation Network. CoRR abs/2211.03295 (2022) - 2021
- [j1]Pan Wang, Jianlin Wang, Qin Tang, Tara L. Alvarez, Zedong Wang, Yi-Chia Kung, Ching-Po Lin, Huafu Chen, Chun Meng, Bharat B. Biswal:
Structural and functional connectivity mapping of the human corpus callosum organization with white-matter functional networks. NeuroImage 227: 117642 (2021)
2010 – 2019
- 2015
- [c1]Jing Wang, Xin Liu, Zedong Wang, Zhikun Wu, Xiang Xie, Zesong Fei, Jingming Kuang:
Objective Measurement of Spatial Audio Coding Quality Based on MNLR Mapping Model. IIH-MSP 2015: 388-392
Coauthor Index
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