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Dawei Gao
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2020 – today
- 2024
- [j25]Jianming Guo, Mingqiang Geng, Kun Ren, Dong Ni, Dawei Gao:
Optimizing Plasma Etching: Integrating Precise Three-Dimensional Etching Simulation and Machine Learning for Multi-Objective Optimization. IEEE Access 12: 127065-127073 (2024) - [j24]Dawei Gao, Haibin Wang, Yaliang Li, Xiuyu Sun, Yichen Qian, Bolin Ding, Jingren Zhou:
Text-to-SQL Empowered by Large Language Models: A Benchmark Evaluation. Proc. VLDB Endow. 17(5): 1132-1145 (2024) - [j23]Dawei Gao, Yongsheng Zhu, Ke Yan, Carlos Guedes Soares:
Deep learning-based framework for regional risk assessment in a multi-ship encounter situation based on the transformer network. Reliab. Eng. Syst. Saf. 241: 109636 (2024) - [j22]Dawei Gao, Kai Huang, Yongsheng Zhu, Linbo Zhu, Ke Yan, Zhijun Ren, Carlos Guedes Soares:
Semi-supervised small sample fault diagnosis under a wide range of speed variation conditions based on uncertainty analysis. Reliab. Eng. Syst. Saf. 242: 109746 (2024) - [j21]Dawei Gao, Qinghua Guo, Guisheng Liao, Yonina C. Eldar, Yonghui Li, Yanguang Yu, Branka Vucetic:
Signal Detection in MIMO Systems With Hardware Imperfections: Message Passing on Neural Networks. IEEE Trans. Wirel. Commun. 23(1): 820-834 (2024) - [c26]Yingqian Min, Kun Zhou, Dawei Gao, Xin Zhao, He Hu, Yaliang Li:
DATA-CUBE: Data Curriculum for Instruction-based Sentence Representation Learning. ACL (Findings) 2024: 13748-13761 - [c25]Xiao Dong, Songyu Sun, Yangfan Jiang, Jingtong Hu, Dawei Gao, Cheng Zhuo:
SPIRAL: Signal-Power Integrity Co-Analysis for High-Speed Inter-Chiplet Serial Links Validation. ASPDAC 2024: 625-630 - [c24]Peiyu Liu, Zikang Liu, Ze-Feng Gao, Dawei Gao, Wayne Xin Zhao, Yaliang Li, Bolin Ding, Ji-Rong Wen:
Do Emergent Abilities Exist in Quantized Large Language Models: An Empirical Study. LREC/COLING 2024: 5174-5190 - [c23]Xinze Li, Yiqin Zeng, Yuxuan Wu, Ying Sun, Junru Qu, Chengji Jin, Jiani Gu, Rongzong Shen, Gaobo Lin, Dawei Gao, Xiao Yu, Bing Chen, Ran Cheng, Genquan Han:
Investigation of Read Disturb for Hf0.5Zr0.502 Ferroelectric Field-Effect Transistors Based Neuromorphic Applications. IRPS 2024: 1-5 - [c22]Qiao Teng, Yongyu Wu, Junzhe Kang, Kai Xu, Dawei Gao:
Impact of Lightly Doped Drain on Hot Carrier Degradation Variability in N-FETs and SRAM Cells. IRPS 2024: 1-4 - [c21]Junru Qu, Dong Liu, Bing Chen, Ying Sun, Xinze Li, Chengji Jin, Jiajia Chen, Haoji Qian, Rongzong Shen, Xiao Yu, Dawei Gao, Ran Cheng, Genquan Han:
Low Temperature Characterization and Modeling of Hot Carrier Injection in 14 nm Si FinFET. IRPS 2024: 70 - [c20]Weirui Kuang, Bingchen Qian, Zitao Li, Daoyuan Chen, Dawei Gao, Xuchen Pan, Yuexiang Xie, Yaliang Li, Bolin Ding, Jingren Zhou:
FederatedScope-LLM: A Comprehensive Package for Fine-tuning Large Language Models in Federated Learning. KDD 2024: 5260-5271 - [c19]Daoyuan Chen, Yilun Huang, Zhijian Ma, Hesen Chen, Xuchen Pan, Ce Ge, Dawei Gao, Yuexiang Xie, Zhaoyang Liu, Jinyang Gao, Yaliang Li, Bolin Ding, Jingren Zhou:
Data-Juicer: A One-Stop Data Processing System for Large Language Models. SIGMOD Conference Companion 2024: 120-134 - [i19]Yingqian Min, Kun Zhou, Dawei Gao, Wayne Xin Zhao, He Hu, Yaliang Li:
Data-CUBE: Data Curriculum for Instruction-based Sentence Representation Learning. CoRR abs/2401.03563 (2024) - [i18]Dawei Gao, Zitao Li, Weirui Kuang, Xuchen Pan, Daoyuan Chen, Zhijian Ma, Bingchen Qian, Liuyi Yao, Lin Zhu, Chen Cheng, Hongzhu Shi, Yaliang Li, Bolin Ding, Jingren Zhou:
AgentScope: A Flexible yet Robust Multi-Agent Platform. CoRR abs/2402.14034 (2024) - [i17]Zikang Liu, Kun Zhou, Wayne Xin Zhao, Dawei Gao, Yaliang Li, Ji-Rong Wen:
Less is More: Data Value Estimation for Visual Instruction Tuning. CoRR abs/2403.09559 (2024) - [i16]Xuchen Pan, Dawei Gao, Yuexiang Xie, Zhewei Wei, Yaliang Li, Bolin Ding, Ji-Rong Wen, Jingren Zhou:
Very Large-Scale Multi-Agent Simulation in AgentScope. CoRR abs/2407.17789 (2024) - [i15]Zhengdao Yuan, Yabo Guo, Dawei Gao, Qinghua Guo, Zhongyong Wang, Chongwen Huang, Ming Jin, Kai-Kit Wong:
Neural Network-Assisted Hybrid Model Based Message Passing for Parametric Holographic MIMO Near Field Channel Estimation. CoRR abs/2408.16251 (2024) - 2023
- [j20]Zhijun Ren, Dawei Gao, Yongsheng Zhu, Qing Ni, Ke Yan, Jun Hong:
Generative adversarial networks driven by multi-domain information for improving the quality of generated samples in fault diagnosis. Eng. Appl. Artif. Intell. 124: 106542 (2023) - [j19]Yuexiang Xie, Zhen Wang, Dawei Gao, Daoyuan Chen, Liuyi Yao, Weirui Kuang, Yaliang Li, Bolin Ding, Jingren Zhou:
FederatedScope: A Flexible Federated Learning Platform for Heterogeneity. Proc. VLDB Endow. 16(5): 1059-1072 (2023) - [j18]Dawei Gao, Daoyuan Chen, Zitao Li, Yuexiang Xie, Xuchen Pan, Yaliang Li, Bolin Ding, Jingren Zhou:
FS-Real: A Real-World Cross-Device Federated Learning Platform. Proc. VLDB Endow. 16(12): 4046-4049 (2023) - [j17]Dawei Gao, Yongsheng Zhu, Carlos Guedes Soares:
Uncertainty modelling and dynamic risk assessment for long-sequence AIS trajectory based on multivariate Gaussian Process. Reliab. Eng. Syst. Saf. 230: 108963 (2023) - [j16]Yiwen Mao, Dawei Gao, Qinghua Guo, Ming Jin:
Message Passing Based Block Sparse Signal Recovery for DOA Estimation Using Large Arrays. IEEE Signal Process. Lett. 30: 1552-1556 (2023) - [c18]Xinze Li, Yuxuan Wu, Qiao Teng, Ying Sun, Xiao Gong, Guillaume Besnard, Christophe Maleville, Olivier Weber, Rui Zhang, Bing Chen, Dawei Gao, Ran Cheng:
Investigation of Random Telegraph Noise in Advanced Silicon-On-Insulator N-FETs: The Impact of Back Bias, Strain, and Hot Carrier Stress. ICICDT 2023: 116-119 - [c17]Yi Jiang, Yanning Chen, Fang Liu, Bo Wu, Yongfeng Deng, Junkang Li, Dawei Gao, Rui Zhang:
Systematic Study on Predicting the Lifetime of Si pMOSFETs During NBTI Stress Based on Low-Frequency Noise. ICICDT 2023: 120-123 - [c16]Daoyuan Chen, Liuyi Yao, Dawei Gao, Bolin Ding, Yaliang Li:
Efficient Personalized Federated Learning via Sparse Model-Adaptation. ICML 2023: 5234-5256 - [c15]Ergute Bao, Dawei Gao, Xiaokui Xiao, Yaliang Li:
Communication Efficient and Differentially Private Logistic Regression under the Distributed Setting. KDD 2023: 69-79 - [c14]Daoyuan Chen, Dawei Gao, Yuexiang Xie, Xuchen Pan, Zitao Li, Yaliang Li, Bolin Ding, Jingren Zhou:
FS-REAL: Towards Real-World Cross-Device Federated Learning. KDD 2023: 3829-3841 - [i14]Daoyuan Chen, Dawei Gao, Yuexiang Xie, Xuchen Pan, Zitao Li, Yaliang Li, Bolin Ding, Jingren Zhou:
FS-Real: Towards Real-World Cross-Device Federated Learning. CoRR abs/2303.13363 (2023) - [i13]Daoyuan Chen, Liuyi Yao, Dawei Gao, Bolin Ding, Yaliang Li:
Efficient Personalized Federated Learning via Sparse Model-Adaptation. CoRR abs/2305.02776 (2023) - [i12]Peiyu Liu, Zikang Liu, Ze-Feng Gao, Dawei Gao, Wayne Xin Zhao, Yaliang Li, Bolin Ding, Ji-Rong Wen:
Do Emergent Abilities Exist in Quantized Large Language Models: An Empirical Study. CoRR abs/2307.08072 (2023) - [i11]Dawei Gao, Haibin Wang, Yaliang Li, Xiuyu Sun, Yichen Qian, Bolin Ding, Jingren Zhou:
Text-to-SQL Empowered by Large Language Models: A Benchmark Evaluation. CoRR abs/2308.15363 (2023) - [i10]Weirui Kuang, Bingchen Qian, Zitao Li, Daoyuan Chen, Dawei Gao, Xuchen Pan, Yuexiang Xie, Yaliang Li, Bolin Ding, Jingren Zhou:
FederatedScope-LLM: A Comprehensive Package for Fine-tuning Large Language Models in Federated Learning. CoRR abs/2309.00363 (2023) - [i9]Daoyuan Chen, Yilun Huang, Zhijian Ma, Hesen Chen, Xuchen Pan, Ce Ge, Dawei Gao, Yuexiang Xie, Zhaoyang Liu, Jinyang Gao, Yaliang Li, Bolin Ding, Jingren Zhou:
Data-Juicer: A One-Stop Data Processing System for Large Language Models. CoRR abs/2309.02033 (2023) - 2022
- [j15]Zhijun Ren, Yongsheng Zhu, Wei Kang, Hong Fu, Qingbo Niu, Dawei Gao, Ke Yan, Jun Hong:
Adaptive cost-sensitive learning: Improving the convergence of intelligent diagnosis models under imbalanced data. Knowl. Based Syst. 241: 108296 (2022) - [j14]Fangda Li, Zhenwei Guo, Xinpeng Pan, Jianxin Liu, Yanyi Wang, Dawei Gao:
Deep Learning with Adaptive Attention for Seismic Velocity Inversion. Remote. Sens. 14(15): 3810 (2022) - [j13]Dawei Gao, Qinghua Guo, Chau Yuen:
Structured DNN-Based Receiver for Millimeter-Wave MIMO With Nonlinear Distortions. IEEE Wirel. Commun. Lett. 11(2): 411-415 (2022) - [c13]Dawei Gao, Yuexiang Xie, Zimu Zhou, Zhen Wang, Yaliang Li, Bolin Ding:
Finding Meta Winning Ticket to Train Your MAML. KDD 2022: 411-420 - [c12]Daoyuan Chen, Dawei Gao, Weirui Kuang, Yaliang Li, Bolin Ding:
pFL-Bench: A Comprehensive Benchmark for Personalized Federated Learning. NeurIPS 2022 - [i8]Yuexiang Xie, Zhen Wang, Daoyuan Chen, Dawei Gao, Liuyi Yao, Weirui Kuang, Yaliang Li, Bolin Ding, Jingren Zhou:
FederatedScope: A Comprehensive and Flexible Federated Learning Platform via Message Passing. CoRR abs/2204.05011 (2022) - [i7]Liuyi Yao, Dawei Gao, Zhen Wang, Yuexiang Xie, Weirui Kuang, Daoyuan Chen, Haohui Wang, Chenhe Dong, Bolin Ding, Yaliang Li:
A Benchmark for Federated Hetero-Task Learning. CoRR abs/2206.03436 (2022) - [i6]Daoyuan Chen, Dawei Gao, Weirui Kuang, Yaliang Li, Bolin Ding:
pFL-Bench: A Comprehensive Benchmark for Personalized Federated Learning. CoRR abs/2206.03655 (2022) - [i5]Dawei Gao, Qinghua Guo, Guisheng Liao, Yonina C. Eldar, Yonghui Li, Yanguang Yu, Branka Vucetic:
Signal Detection in MIMO Systems with Hardware Imperfections: Message Passing on Neural Networks. CoRR abs/2210.03911 (2022) - [i4]Dawei Gao, Qinghua Guo, Ming Jin, Guisheng Liao, Yonina C. Eldar:
Hyper-Parameter Auto-Tuning for Sparse Bayesian Learning. CoRR abs/2211.04847 (2022) - 2021
- [j12]Dawei Gao, Yongsheng Zhu, Zhijun Ren, Ke Yan, Wei Kang:
A novel weak fault diagnosis method for rolling bearings based on LSTM considering quasi-periodicity. Knowl. Based Syst. 231: 107413 (2021) - [j11]Dawei Gao, Qinghua Guo, Yonina C. Eldar:
Massive MIMO as an Extreme Learning Machine. IEEE Trans. Veh. Technol. 70(1): 1046-1050 (2021) - [c11]Dawei Gao, Xiaoxi He, Zimu Zhou, Yongxin Tong, Lothar Thiele:
Pruning Meta-Trained Networks for On-Device Adaptation. CIKM 2021: 514-523 - [c10]Xiaoxi He, Dawei Gao, Zimu Zhou, Yongxin Tong, Lothar Thiele:
Pruning-Aware Merging for Efficient Multitask Inference. KDD 2021: 585-595 - 2020
- [j10]Yiwen Mao, Man Luo, Dawei Gao, Qinghua Guo:
Low complexity DOA estimation using AMP with unitary transformation and iterative refinement. Digit. Signal Process. 106: 102800 (2020) - [j9]Dawei Gao, Qinghua Guo, Jun Tong, Nan Wu, Jiangtao Xi, Yanguang Yu:
Extreme-Learning-Machine-Based Noniterative and Iterative Nonlinearity Mitigation for LED Communication Systems. IEEE Syst. J. 14(4): 4674-4683 (2020) - [j8]Xiaoguang Zhang, Yi Li, Keqin Wang, Wenhan Zhang, Dawei Gao:
Model Predictive Control of the Open-winding PMSG System Based on Three-Dimensional Reference Voltage-Vector. IEEE Trans. Ind. Electron. 67(8): 6312-6322 (2020) - [j7]Zhanchuan Wu, Ying Fan, Christopher H. T. Lee, Dawei Gao, Ke Yu:
Vibration Optimization of FSCW-IPM Motor Based on Iron-Core Modification for Electric Vehicles. IEEE Trans. Veh. Technol. 69(12): 14834-14845 (2020) - [c9]Dawei Gao, Xiaoxi He, Zimu Zhou, Yongxin Tong, Ke Xu, Lothar Thiele:
Rethinking Pruning for Accelerating Deep Inference At the Edge. KDD 2020: 155-164 - [i3]Dawei Gao, Qinghua Guo:
Massive MIMO As Extreme Learning Machine. CoRR abs/2007.00221 (2020)
2010 – 2019
- 2019
- [j6]Xiaoguang Zhang, Keqin Wang, Wenhan Zhang, Yaoqiang Wang, Peng Wang, Dawei Gao:
Dual Delay-Compensation-Based Model Predictive Control for the Semi-Controlled Open-Winding PMSM System. IEEE Access 7: 69947-69959 (2019) - [j5]Dawei Gao, Qinghua Guo:
Extreme learning machine-based receiver for MIMO LED communications. Digit. Signal Process. 95 (2019) - [j4]Qiming Wang, Tao Sun, Zhichao Lyu, Dawei Gao:
A Virtual In-Cylinder Pressure Sensor Based on EKF and Frequency-Amplitude-Modulation Fourier-Series Method. Sensors 19(14): 3122 (2019) - [c8]Kun Wang, Peng Liu, Anran Zhao, Qixun Zhang, Lei Wang, Yiming Xue, Xiyu Gao, Dawei Gao:
Development and Application of MES Based on Cloud Platform for Steel Structure Enterprises. IEEM 2019: 521-525 - [c7]Anran Zhao, Peng Liu, Kun Wang, Qixun Zhang, Lei Wang, Yiming Xue, Xiyu Gao, Dawei Gao:
Process Management of Customized Product Manufacturing for Steel Structures. IEEM 2019: 531-535 - [i2]Dawei Gao, Qinghua Guo:
Extreme Learning Machine-Based Receiver for MIMO LED Communications. CoRR abs/1903.01551 (2019) - [i1]Xiaoxi He, Dawei Gao, Zimu Zhou, Yongxin Tong, Lothar Thiele:
Disentangling Redundancy for Multi-Task Pruning. CoRR abs/1905.09676 (2019) - 2018
- [j3]Yuanyuan Zhang, Dawei Gao, Jie Luo, Ke Xu:
CPCA: A Feature Semantics Based Crowd Dimension Reduction Framework. IEEE Access 6: 73191-73199 (2018) - 2017
- [j2]Dawei Gao, Yongxin Tong, Jieying She, Tianshu Song, Lei Chen, Ke Xu:
Top-k Team Recommendation and Its Variants in Spatial Crowdsourcing. Data Sci. Eng. 2(2): 136-150 (2017) - [c6]Dawei Gao, Yongxin Tong, Yudian Ji, Ke Xu:
Team-Oriented Task Planning in Spatial Crowdsourcing. APWeb/WAIM (1) 2017: 41-56 - 2016
- [c5]Dawei Gao, Yongxin Tong, Jieying She, Tianshu Song, Lei Chen, Ke Xu:
Top-k Team Recommendation in Spatial Crowdsourcing. WAIM (1) 2016: 191-204 - 2014
- [c4]Ning Ma, Shumei Ren, Peiling Yang, Yanbing Chi, Dawei Gao:
Effect of Different Nitrogen Fertilizers with Reclaimed Water Irrigation on Soil Greenhouse Gas Emissions. CCTA 2014: 185-192 - 2011
- [j1]Lina Yu, Wanlin Gao, Qiong An, Jianing Zhao, Donghua Liang, Dawei Gao:
Data resource management according to customer requirements. Math. Comput. Model. 54(3-4): 895-901 (2011)
2000 – 2009
- 2008
- [c3]Dawei Gao, Yantai Shu, Li Yu, M. Y. Sanadidi, Mario Gerla:
TCP SPC: Statistic Process Control for Enhanced Transport over Wireless Links. GLOBECOM 2008: 5453-5457 - 2007
- [c2]Muwei Jian, Junyu Dong, Dawei Gao, Zuojuan Liang:
New Texture Features Based on Wavelet Transform Coinciding with Human Visual Perception. SNPD (1) 2007: 369-373 - [c1]Junyu Dong, Muwei Jian, Dawei Gao, Shengke Wang:
Reducing the Dimensionality of Feature Vectors for Texture Image Retrieval Based on Wavelet Decomposition. SNPD (1) 2007: 758-763
Coauthor Index
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last updated on 2024-10-07 21:19 CEST by the dblp team
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