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Ziqi Gao
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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 00:15 CET by the dblp team
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