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2020 – today
- 2024
[j15]Fei-Yue Wang
, Qinghai Miao, Lingxi Li, Qinghua Ni, Xuan Li, Juanjuan Li, Lili Fan, Yonglin Tian, Qing-Long Han:
When Does Sora Show: The Beginning of TAO to Imaginative Intelligence and Scenarios Engineering. IEEE CAA J. Autom. Sinica 11(4): 809-815 (2024)- [j14]Gang Xiong, Zhishuai Li, Meihua Zhao, Yu Zhang, Qinghai Miao, Yisheng Lv, Fei-Yue Wang:
TrajSGAN: A Semantic-Guiding Adversarial Network for Urban Trajectory Generation. IEEE Trans. Comput. Soc. Syst. 11(2): 1733-1743 (2024) - [j13]Zhuoyang Song, Min Huang, Qinghai Miao, Fei-Yue Wang:
Parallel Learning for Legal Intelligence: A HANOI Approach Based on Unified Prompting. IEEE Trans. Comput. Soc. Syst. 11(2): 2765-2775 (2024) - [j12]Jianhang Liu, Kunlei Xue, Qinghai Miao, Shibao Li, Xuerong Cui, Danxin Wang, Kewen Li:
MCVCO: Multi-MEC Cooperative Vehicular Computation Offloading. IEEE Trans. Intell. Veh. 9(1): 813-826 (2024) - [j11]Xuan Li, Qinghai Miao, Lingxi Li, Qinghua Ni, Lili Fan, Yutong Wang, Yonglin Tian, Fei-Yue Wang:
Sora for Senarios Engineering of Intelligent Vehicles: V&V, C&C, and Beyonds. IEEE Trans. Intell. Veh. 9(2): 3117-3122 (2024) - [c21]Wenxuan Zhang, Min Huang, Zhuoyang Song, Qinghai Miao:
DimA: A Parameter-efficient Fine-tuning Method with Knowledge Transfer Based on Transformer. LREC/COLING 2024: 4922-4934 - [c20]Jie Cheng, Gang Xiong, Xingyuan Dai, Qinghai Miao, Yisheng Lv, Fei-Yue Wang:
RIME: Robust Preference-based Reinforcement Learning with Noisy Preferences. ICML 2024 - [c19]Jiawei Liu, Min Huang, Qinghai Miao:
Mitigating Spurious Correlations in Named Entity Recognition Models Through Counterfactual Data Augmentation. IJCNN 2024: 1-8 - [i3]Jie Cheng, Gang Xiong, Xingyuan Dai, Qinghai Miao, Yisheng Lv, Fei-Yue Wang:
RIME: Robust Preference-based Reinforcement Learning with Noisy Preferences. CoRR abs/2402.17257 (2024) - [i2]Enming Zhang, Bingke Zhu, Yingying Chen, Qinghai Miao, Ming Tang, Jinqiao Wang:
Optimization of Prompt Learning via Multi-Knowledge Representation for Vision-Language Models. CoRR abs/2404.10357 (2024) - [i1]Enming Zhang, Xingyuan Dai, Yisheng Lv, Qinghai Miao:
MiniDrive: More Efficient Vision-Language Models with Multi-Level 2D Features as Text Tokens for Autonomous Driving. CoRR abs/2409.07267 (2024) - 2023
- [j10]Fei-Yue Wang, Qinghai Miao, Xuan Li, Xingxia Wang, Yilun Lin:
What Does ChatGPT Say: The DAO from Algorithmic Intelligence to Linguistic Intelligence. IEEE CAA J. Autom. Sinica 10(3): 575-579 (2023) - [j9]Qinghai Miao, Yisheng Lv, Min Huang, Xiao Wang, Fei-Yue Wang:
Parallel Learning: Overview and Perspective for Computational Learning Across Syn2Real and Sim2Real. IEEE CAA J. Autom. Sinica 10(3): 603-631 (2023) - [j8]Qinghai Miao, Wenbo Zheng, Yisheng Lv, Min Huang, Wenwen Ding, Fei-Yue Wang:
DAO to HANOI via DeSci: AI Paradigm Shifts from AlphaGo to ChatGPT. IEEE CAA J. Autom. Sinica 10(4): 877-897 (2023) - [j7]Xingxia Wang, Jing Yang, Yutong Wang, Qinghai Miao, Fei-Yue Wang, Aijun Zhao, Jianling Deng, Lingxi Li, Xiaoxiang Na, Ljubo B. Vlacic:
Steps Toward Industry 5.0: Building "6S" Parallel Industries With Cyber-Physical-Social Intelligence. IEEE CAA J. Autom. Sinica 10(8): 1692-1703 (2023) - [j6]Haiping Du, Siyu Teng, Hong Chen, Jiaqi Ma, Xiao Wang, Chao Gou, Bai Li, Siji Ma, Qinghai Miao, Xiaoxiang Na, Peijun Ye, Hui Zhang, Guiyang Luo, Fei-Yue Wang:
Chat With ChatGPT on Intelligent Vehicles: An IEEE TIV Perspective. IEEE Trans. Intell. Veh. 8(3): 2020-2026 (2023) - [c18]Bo Lu, Qinghai Miao, Xingyuan Dai, Yisheng Lv:
VCrash: A Closed-Loop Traffic Crash Augmentation with Pose Controllable Pedestrian. ITSC 2023: 5682-5687 - [c17]Yunhao Nie, Yuanyuan Chen, Qinghai Miao, Yisheng Lv:
Data Augmentation for Pedestrians in Corner Case: A Pose Distribution Control Approach. ITSC 2023: 5712-5717 - [c16]Hongyan Wu, Qinghai Miao, Haiyun Guo, Min Huang, Jinqiao Wang:
Instance-Proxy Loss for Semi-supervised Learning with Coarse Labels. PRCV (12) 2023: 238-250 - 2022
- [j5]Mingfei Tu, Kuan Zhu, Haiyun Guo, Qinghai Miao, Chaoyang Zhao, Guibo Zhu, Honglin Qiao, Gaopan Huang, Ming Tang, Jinqiao Wang:
Multi-Granularity Mutual Learning Network for Object Re-Identification. IEEE Trans. Intell. Transp. Syst. 23(9): 15178-15189 (2022) - [c15]Qinghai Miao, Min Huang, Yisheng Lv, Fei-Yue Wang:
Parallel Learning between Science for AI and AI for Science: A Brief Overview and Perspective*. ANZCC 2022: 171-175 - [c14]Ruyu Qin, Min Huang, Jiawei Liu, Qinghai Miao:
Hybrid Attention-based Transformer for Long-range Document Classification. IJCNN 2022: 1-8 - [c13]Hongyan Wu, Haiyun Guo, Qinghai Miao, Min Huang, Jinqiao Wang:
Graph Neural Networks Based Multi-granularity Feature Representation Learning for Fine-Grained Visual Categorization. MMM (2) 2022: 230-242 - 2021
- [c12]Cong Liu, Qinghai Miao, Min Huang:
Improving Efficient Neural Architecture Search Using Out-net. ICCAI 2021: 266-271 - [c11]Zebing Wei, Zhishuai Li, Chunxiang Wang, Yuanyuan Chen, Qinghai Miao, Yisheng Lv, Fei-Yue Wang:
Recurrent Attention Unit: A Simple and Effective Method for Traffic Prediction. ITSC 2021: 1272-1277 - 2020
- [j4]Floyd M. Chitalu, Qinghai Miao, Kartic Subr, Taku Komura:
Displacement-Correlated XFEM for Simulating Brittle Fracture. Comput. Graph. Forum 39(2): 569-583 (2020) - [c10]Junjie Yin, Li Wei, Ding Pu, Qinghai Miao:
An Efficient Model Compression Method of Pruning for Object Detection. ICCAI 2020: 240-246
2010 – 2019
- 2019
- [c9]Sufang Zhang, Qinghai Miao, Min Huang, Xiangyu Zhu, Yingying Chen, Zhen Lei, Jinqiao Wang:
Pose-Weighted Gan for Photorealistic Face Frontalization. ICIP 2019: 2384-2388 - [c8]Xingan Ma, Kuan Zhu, Haiyun Guo, Jinqiao Wang, Min Huang, Qinghai Miao:
Vehicle Re-Identification with Refined Part Model. ICME Workshops 2019: 603-606 - 2017
- [c7]Yating He, Min Huang, Qinghai Miao, Haiyun Guo, Jinqiao Wang:
Deep embedding network for robust age estimation. ICIP 2017: 1092-1096 - [c6]Yunfan Xiao, Min Huang, Qinghai Miao, Jun Xiao, Ying Wang:
Architecting the Discontinuous Deformation Analysis Method Pipeline on the GPU. IPDPS Workshops 2017: 1188-1197 - 2016
- [c5]Jun Yao, Jian Xue, Ke Lv, Qinghai Miao:
A parallel volume rendering method for massive data. ICME Workshops 2016: 1-6 - 2014
- [j3]Fenghua Zhu, Songhang Chen, Zhi-Hong Mao, Qinghai Miao:
Parallel Public Transportation System and Its Application in Evaluating Evacuation Plans for Large-Scale Activities. IEEE Trans. Intell. Transp. Syst. 15(4): 1728-1733 (2014) - 2012
- [c4]Qinghai Miao, Yisheng Lv, Fenghua Zhu:
A cellular automata based evacuation model on GPU platform. ITSC 2012: 764-768 - [c3]Yisheng Lv, Fenghua Zhu, Qinghai Miao, Peijun Ye, Songhang Chen:
Emergency traffic evacuation control based on the orthogonal experimental design method. ITSC 2012: 1269-1273 - [c2]Keqin Chen, Hong Guo, Bo Li, Qinghai Miao:
Constructing virtual parallel system for offshore oil subsea production. SOLI 2012: 389-393 - 2011
- [j2]Qinghai Miao, Fenghua Zhu, Yisheng Lv, Changjian Cheng, Cheng Chen, Xiaogang Qiu:
A Game-Engine-Based Platform for Modeling and Computing Artificial Transportation Systems. IEEE Trans. Intell. Transp. Syst. 12(2): 343-353 (2011)
2000 – 2009
- 2006
- [j1]Shuming Tang, Fei-Yue Wang, Qinghai Miao:
ITSC 05: Current Issues and Research Trends. IEEE Intell. Syst. 21(2): 96-102 (2006) - [c1]Feng He, Qinghai Miao, Yuantao Li, Fei-Yue Wang, Shuming Tang:
Modeling and analysis of artificial transportation system based on multi-agent technology. ITSC 2006: 1120-1124
Coauthor Index
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last updated on 2024-10-15 00:25 CEST by the dblp team
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