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ORCIDZiqi Gao
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[c15]Ziqi Gao, Qiufu Li, Gui Wang, Linlin Shen:
PointFaceFormer: Local and Global Attention Based Transformer for 3D Point Cloud Face Recognition. FG 2024: 1-8- [c14]Ziqi Gao
:
Enhancing Stock Market Forecasting: A Hybrid Machine Learning Approach Integrating LSTM and GRU Models. ICCBD 2024: 254-259 - [c13]Ziqi Gao, Tao Feng, Jiaxuan You, Chenyi Zi, Yan Zhou, Chen Zhang, Jia Li:
Deep Reinforcement Learning for Modelling Protein Complexes. ICLR 2024 - [c12]Ziqi Gao, Xiangguo Sun, Zijing Liu, Yu Li, Hong Cheng, Jia Li:
Protein Multimer Structure Prediction via Prompt Learning. ICLR 2024 - [c11]Ziqi Gao, Qichao Wang, Aochuan Chen, Zijing Liu, Bingzhe Wu, Liang Chen, Jia Li:
Parameter-Efficient Fine-Tuning with Discrete Fourier Transform. ICML 2024 - [c10]Ziqi Gao, S. Kevin Zhou:
Rethinking Dual-Domain Undersampled MRI Reconstruction: Domain-Specific Design from the Perspective of the Receptive Field. ISBI 2024: 1-5 - [c9]Ziqi Gao, Qiufu Li, Linlin Shen, Junpeng Yang:
3DFaceMAE: Pre-training of Masked Autoencoder Using Patch-Based Random Masking Reconstruction and Super-resolution for 3D Face Recognition. PRCV (11) 2024: 488-503 - [i14]Ziqi Gao, S. Kevin Zhou:
U2MRPD: Unsupervised undersampled MRI reconstruction by prompting a large latent diffusion model. CoRR abs/2402.10609 (2024) - [i13]Ziqi Gao, Xiangguo Sun, Zijing Liu, Yu Li, Hong Cheng, Jia Li:
Protein Multimer Structure Prediction via Prompt Learning. CoRR abs/2402.18813 (2024) - [i12]Ziqi Gao, Yue Zhang, Xinwen Liu, Kaiyan Li, S. Kevin Zhou:
DuDoUniNeXt: Dual-domain unified hybrid model for single and multi-contrast undersampled MRI reconstruction. CoRR abs/2403.05256 (2024) - [i11]Ziqi Gao, Tao Feng, Jiaxuan You, Chenyi Zi, Yan Zhou, Chen Zhang, Jia Li:
Deep Reinforcement Learning for Modelling Protein Complexes. CoRR abs/2405.02299 (2024) - [i10]Ziqi Gao, Qichao Wang, Aochuan Chen, Zijing Liu, Bingzhe Wu, Liang Chen, Jia Li:
Parameter-Efficient Fine-Tuning with Discrete Fourier Transform. CoRR abs/2405.03003 (2024) - [i9]Aochuan Chen, Ziqi Gao, Zijing Liu, Yu Li, Jia Li:
Parameter-Efficient Fine-Tuning via Circular Convolution. CoRR abs/2407.19342 (2024) - [i8]Ziqi Gao, Wendi Yang, Yujia Li, Lei Xing, S. Kevin Zhou:
MS-Glance: Non-semantic context vectors and the applications in supervising image reconstruction. CoRR abs/2410.23577 (2024) - 2023
- [j1]Ziqi Gao, Yuntao Wang, Jianguo Chen, Junliang Xing, Shwetak N. Patel, Xin Liu, Yuanchun Shi:
MMTSA: Multi-Modal Temporal Segment Attention Network for Efficient Human Activity Recognition. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 7(3): 96:1-96:26 (2023) - [c8]Ziqi Gao, Yifan Niu, Jiashun Cheng, Jianheng Tang, Lanqing Li, Tingyang Xu, Peilin Zhao, Fugee Tsung, Jia Li:
Handling Missing Data via Max-Entropy Regularized Graph Autoencoder. AAAI 2023: 7651-7659 - [c7]Liang Zeng, Lanqing Li, Ziqi Gao, Peilin Zhao, Jian Li:
ImGCL: Revisiting Graph Contrastive Learning on Imbalanced Node Classification. AAAI 2023: 11138-11146 - [c6]Ziqi Gao, Jiayu Li:
Expectation Index Prediction System Based on LSTM Neural Network. ICIAI 2023: 112-120 - [c5]Jianheng Tang, Fengrui Hua, Ziqi Gao, Peilin Zhao, Jia Li:
GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection. NeurIPS 2023 - [c4]Ziqi Gao, Yingli Li, Yang Luo, Yunxiang Jiang, Bi Zhang, Xingang Zhao, Lingkai Chen, Yiwen Zhao:
The Accuracy Analysis of Tool Center Point Calibration via Condition Number and Minimum Eigenvalue. RCAR 2023: 340-344 - [i7]Ziqi Gao, S. Kevin Zhou:
DuDoRNeXt: A hybrid model for dual-domain undersampled MRI reconstruction. CoRR abs/2303.10611 (2023) - [i6]Jianheng Tang, Fengrui Hua, Ziqi Gao, Peilin Zhao, Jia Li:
GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection. CoRR abs/2306.12251 (2023) - 2022
- [c3]Ziqi Gao:
Establishment and Evaluation of Measurement and Control System Model Based on Data Analysis Optimization. ICITEE 2022: 343-348 - [c2]Jianheng Tang, Jiajin Li, Ziqi Gao, Jia Li:
Rethinking Graph Neural Networks for Anomaly Detection. ICML 2022: 21076-21089 - [i5]Liang Zeng, Lanqing Li, Ziqi Gao, Peilin Zhao, Jian Li:
ImGCL: Revisiting Graph Contrastive Learning on Imbalanced Node Classification. CoRR abs/2205.11332 (2022) - [i4]Jianheng Tang, Jiajin Li, Ziqi Gao, Jia Li:
Rethinking Graph Neural Networks for Anomaly Detection. CoRR abs/2205.15508 (2022) - [i3]Lanqing Li, Liang Zeng, Ziqi Gao, Shen Yuan, Yatao Bian, Bingzhe Wu, Hengtong Zhang, Chan Lu, Yang Yu, Wei Liu, Hongteng Xu, Jia Li, Peilin Zhao, Pheng-Ann Heng:
ImDrug: A Benchmark for Deep Imbalanced Learning in AI-aided Drug Discovery. CoRR abs/2209.07921 (2022) - [i2]Ziqi Gao, Jianguo Chen, Junliang Xing, Shwetak N. Patel, Yuanchun Shi, Xin Liu, Yuntao Wang:
MMTSA: Multimodal Temporal Segment Attention Network for Efficient Human Activity Recognition. CoRR abs/2210.09222 (2022) - [i1]Ziqi Gao, Yifan Niu, Jiashun Cheng, Jianheng Tang, Tingyang Xu, Peilin Zhao, Lanqing Li, Fugee Tsung, Jia Li:
Handling Missing Data via Max-Entropy Regularized Graph Autoencoder. CoRR abs/2211.16771 (2022) - 2021
- [c1]Ying Zhong, Ziqi Gao, Rui Li, Citong Que, Xinjie Yang, Zhiliang Wang, Jiahai Yang, Xia Yin, Xingang Shi, Keqin Li:
STRAD: Network Intrusion Detection Algorithm Based on Zero-Positive Learning in Real Complex Network Environment. ISCC 2021: 1-8
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last updated on 2024-12-01 01:12 CET by the dblp team
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