Zhikai Chen

According to our database, Zhikai Chen authored at least 30 papers between 1997 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Towards robust DeepFake distortion attack via adversarial autoaugment.

Qi Guo, Shanmin Pang, Zhikai Chen, Qing Guo

Neurocomputing, 2025

2024

Learning 3D Shape Latent for Point Cloud Completion.

Zhikai Chen, Fuchen Long, Zhaofan Qiu, Ting Yao, Wengang Zhou, Jiebo Luo, Tao Mei

IEEE Trans. Multim., 2024

A Closer Look at the Reflection Formulation in Single Image Reflection Removal.

Zhikai Chen, Fuchen Long, Zhaofan Qiu, Juyong Zhang, Zheng-Jun Zha, Ting Yao, Jiebo Luo

IEEE Trans. Image Process., 2024

One Model for One Graph: A New Perspective for Pretraining with Cross-domain Graphs.

Jingzhe Liu, Haitao Mao, Zhikai Chen, Wenqi Fan, Mingxuan Ju, Tong Zhao, Neil Shah, Jiliang Tang

CoRR, 2024

Improving Causal Reasoning in Large Language Models: A Survey.

Siheng Xiong, Delin Chen, Qingyang Wu, Longxuan Yu, Qingzhen Liu, Dawei Li, Zhikai Chen, Xiaoze Liu, Liangming Pan

CoRR, 2024

Learning on Graphs with Large Language Models(LLMs): A Deep Dive into Model Robustness.

Kai Guo, Zewen Liu, Zhikai Chen, Hongzhi Wen, Wei Jin, Jiliang Tang, Yi Chang

CoRR, 2024

A Pure Transformer Pretraining Framework on Text-attributed Graphs.

Yu Song, Haitao Mao, Jiachen Xiao, Jingzhe Liu, Zhikai Chen, Wei Jin, Carl Yang, Jiliang Tang, Hui Liu

CoRR, 2024

Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights.

Zhikai Chen, Haitao Mao, Jingzhe Liu, Yu Song, Bingheng Li, Wei Jin, Bahare Fatemi, Anton Tsitsulin, Bryan Perozzi, Hui Liu, Jiliang Tang

CoRR, 2024

Graph Machine Learning in the Era of Large Language Models (LLMs).

Wenqi Fan, Shijie Wang, Jiani Huang, Zhikai Chen, Yu Song, Wenzhuo Tang, Haitao Mao, Hui Liu, Xiaorui Liu, Dawei Yin, Qing Li

CoRR, 2024

Enhancing ID and Text Fusion via Alternative Training in Session-based Recommendation.

Juanhui Li, Haoyu Han, Zhikai Chen, Harry Shomer, Wei Jin, Amin Javari, Jiliang Tang

CoRR, 2024

Graph Foundation Models.

Haitao Mao, Zhikai Chen, Wenzhuo Tang, Jianan Zhao, Yao Ma, Tong Zhao, Neil Shah, Mikhail Galkin, Jiliang Tang

CoRR, 2024

Neural Scaling Laws on Graphs.

Jingzhe Liu, Haitao Mao, Zhikai Chen, Tong Zhao, Neil Shah, Jiliang Tang

CoRR, 2024

The 1st International Workshop on Graph Foundation Models (GFM).

Haitao Mao, Jianan Zhao, Xiaoxin He, Zhikai Chen, Qian Huang, Zhaocheng Zhu, Jian Tang, Michael M. Bronstein, Xavier Bresson, Bryan Hooi, Haiyang Zhang, Xianfeng Tang, Luo Chen, Jiliang Tang

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Position: Graph Foundation Models Are Already Here.

Haitao Mao, Zhikai Chen, Wenzhuo Tang, Jianan Zhao, Yao Ma, Tong Zhao, Neil Shah, Mikhail Galkin, Jiliang Tang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Label-free Node Classification on Graphs with Large Language Models (LLMs).

Zhikai Chen, Haitao Mao, Hongzhi Wen, Haoyu Han, Wei Jin, Haiyang Zhang, Hui Liu, Jiliang Tang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Learning Spatial Adaptation and Temporal Coherence in Diffusion Models for Video Super-Resolution.

Zhikai Chen, Fuchen Long, Zhaofan Qiu, Ting Yao, Wengang Zhou, Jiebo Luo, Tao Mei

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Exploring the Potential of Large Language Models (LLMs)in Learning on Graphs.

Zhikai Chen, Haitao Mao, Hang Li, Wei Jin, Hongzhi Wen, Xiaochi Wei, Shuaiqiang Wang, Dawei Yin, Wenqi Fan, Hui Liu, Jiliang Tang

SIGKDD Explor., December, 2023

AVoiD-DF: Audio-Visual Joint Learning for Detecting Deepfake.

Wenyuan Yang, Xiaoyu Zhou, Zhikai Chen, Bofei Guo, Zhongjie Ba, Zhihua Xia, Xiaochun Cao, Kui Ren

IEEE Trans. Inf. Forensics Secur., 2023

Inter-frame Accelerate Attack against Video Interpolation Models.

Junpei Liao, Zhikai Chen, Liang Yi, Wenyuan Yang, Baoyuan Wu, Xiaochun Cao

CoRR, 2023

Demystifying Structural Disparity in Graph Neural Networks: Can One Size Fit All?

Haitao Mao, Zhikai Chen, Wei Jin, Haoyu Han, Yao Ma, Tong Zhao, Neil Shah, Jiliang Tang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

AnchorFormer: Point Cloud Completion from Discriminative Nodes.

Zhikai Chen, Fuchen Long, Zhaofan Qiu, Ting Yao, Wengang Zhou, Jiebo Luo, Tao Mei

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

FS-GRU: Continuous Perception and Prediction with inter Frame Feature Sharing.

Zhikai Chen, Yafei Wang, Xulei Liu, Xinchang Wang

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

Leveraging Diversity-Aware Context Attention Networks for Fake News Detection on Social Platforms.

Zhikai Chen, Peng Wu, Li Pan

Proceedings of the International Joint Conference on Neural Networks, 2022

Anti-Forgery: Towards a Stealthy and Robust DeepFake Disruption Attack via Adversarial Perceptual-aware Perturbations.

Run Wang, Ziheng Huang, Zhikai Chen, Li Liu, Jing Chen, Lina Wang

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021

Multi-view spectral clustering via common structure maximization of local and global representations.

Wenyu Hao, Shanmin Pang, Zhikai Chen

Neural Networks, 2021

Appending Adversarial Frames for Universal Video Attack.

Zhikai Chen, Lingxi Xie, Shanmin Pang, Yong He, Qi Tian

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

MagDR: Mask-Guided Detection and Reconstruction for Defending Deepfakes.

Zhikai Chen, Lingxi Xie, Shanmin Pang, Yong He, Bo Zhang

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2019

Unsupervised Single Image Deraining with Self-Supervised Constraints.

Xin Jin, Zhibo Chen, Jianxin Lin, Zhikai Chen, Wei Zhou

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

1999

Arcade: A Web-Java Based Framework for Distributed Computing.

Zhikai Chen, Kurt Maly, Piyush Mehrotra, Mohammad Zubair

Proceedings of WebNet 99, 1999

1997

Web-based Framework for Distributed Computing.

Zhikai Chen, Kurt Maly, Piyush Mehrotra, Praveen K. Vangala, Mohammad Zubair

Concurr. Pract. Exp., 1997