Gao, Ziqi

12 publications

ICCV 2025 DAP-MAE: Domain-Adaptive Point Cloud Masked Autoencoder for Effective Cross-Domain Learning Ziqi Gao, Qiufu Li, Linlin Shen

ICLR 2025 InversionGNN: A Dual Path Network for Multi-Property Molecular Optimization Yifan Niu, Ziqi Gao, Tingyang Xu, Yang Liu, Yatao Bian, Yu Rong, Junzhou Huang, Jia Li

WACV 2025 MS-Glance: Bio-Inspired Non-Semantic Context Vectors and Their Applications in Supervising Image Reconstruction Ziqi Gao, Wendi Yang, Yujia Li, Lei Xing, S. Kevin Zhou

ICCV 2025 One Trajectory, One Token: Grounded Video Tokenization via Panoptic Sub-Object Trajectory Chenhao Zheng, Jieyu Zhang, Mohammadreza Salehi, Ziqi Gao, Vishnu Iyengar, Norimasa Kobori, Quan Kong, Ranjay Krishna

ICLR 2024 Deep Reinforcement Learning for Modelling Protein Complexes Ziqi Gao, Tao Feng, Jiaxuan You, Chenyi Zi, Yan Zhou, Chen Zhang, Jia Li

ICML 2024 Parameter-Efficient Fine-Tuning with Discrete Fourier Transform Ziqi Gao, Qichao Wang, Aochuan Chen, Zijing Liu, Bingzhe Wu, Liang Chen, Jia Li

ICLR 2024 Protein Multimer Structure Prediction via Prompt Learning Ziqi Gao, Xiangguo Sun, Zijing Liu, Yu Li, Hong Cheng, Jia Li

NeurIPS 2024 Towards Stable Representations for Protein Interface Prediction Ziqi Gao, Zijing Liu, Yu Li, Jia Li

NeurIPS 2023 GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection Jianheng Tang, Fengrui Hua, Ziqi Gao, Peilin Zhao, Jia Li

AAAI 2023 Handling Missing Data via Max-Entropy Regularized Graph Autoencoder Ziqi Gao, Yifan Niu, Jiashun Cheng, Jianheng Tang, Lanqing Li, Tingyang Xu, Peilin Zhao, Fugee Tsung, Jia Li

AAAI 2023 ImGCL: Revisiting Graph Contrastive Learning on Imbalanced Node Classification Liang Zeng, Lanqing Li, Ziqi Gao, Peilin Zhao, Jian Li

ICML 2022 Rethinking Graph Neural Networks for Anomaly Detection Jianheng Tang, Jiajin Li, Ziqi Gao, Jia Li