Zhikai Chen

Publication Activity (10 Years)

Years Active: 1997-2024
Publications (10 Years): 31

Top Topics

Temporal Coherence

Diffusion Model

Top Venues

IEEE Trans. Image Process.

IEEE Trans. Inf. Forensics Secur.

Publications

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
The 1st International Workshop on Graph Foundation Models (GFM). WWW (Companion Volume) (2024)
Haitao Mao, Zhikai Chen, Wenzhuo Tang, Jianan Zhao, Yao Ma, Tong Zhao, Neil Shah, Mikhail Galkin, Jiliang Tang
Graph Foundation Models. CoRR (2024)
Zhikai Chen, Fuchen Long, Zhaofan Qiu, Ting Yao, Wengang Zhou, Jiebo Luo, Tao Mei
Learning 3D Shape Latent for Point Cloud Completion. IEEE Trans. Multim. 26 (2024)
Yu Song, Haitao Mao, Jiachen Xiao, Jingzhe Liu, Zhikai Chen, Wei Jin, Carl Yang, Jiliang Tang, Hui Liu
A Pure Transformer Pretraining Framework on Text-attributed Graphs. CoRR (2024)
Kai Guo, Zewen Liu, Zhikai Chen, Hongzhi Wen, Wei Jin, Jiliang Tang, Yi Chang
Learning on Graphs with Large Language Models(LLMs): A Deep Dive into Model Robustness. CoRR (2024)
Zhikai Chen, Haitao Mao, Hongzhi Wen, Haoyu Han, Wei Jin, Haiyang Zhang, Hui Liu, Jiliang Tang
Label-free Node Classification on Graphs with Large Language Models (LLMs). ICLR (2024)
Zhikai Chen, Fuchen Long, Zhaofan Qiu, Ting Yao, Wengang Zhou, Jiebo Luo, Tao Mei
Learning Spatial Adaptation and Temporal Coherence in Diffusion Models for Video Super-Resolution. CoRR (2024)
Zhikai Chen, Haitao Mao, Jingzhe Liu, Yu Song, Bingheng Li, Wei Jin, Bahare Fatemi, Anton Tsitsulin, Bryan Perozzi, Hui Liu, Jiliang Tang
Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights. CoRR (2024)
Wenqi Fan, Shijie Wang, Jiani Huang, Zhikai Chen, Yu Song, Wenzhuo Tang, Haitao Mao, Hui Liu, Xiaorui Liu, Dawei Yin, Qing Li
Graph Machine Learning in the Era of Large Language Models (LLMs). CoRR (2024)
Zhikai Chen, Fuchen Long, Zhaofan Qiu, Juyong Zhang, Zheng-Jun Zha, Ting Yao, Jiebo Luo
A Closer Look at the Reflection Formulation in Single Image Reflection Removal. IEEE Trans. Image Process. 33 (2024)
Juanhui Li, Haoyu Han, Zhikai Chen, Harry Shomer, Wei Jin, Amin Javari, Jiliang Tang
Enhancing ID and Text Fusion via Alternative Training in Session-based Recommendation. CoRR (2024)
Jingzhe Liu, Haitao Mao, Zhikai Chen, Tong Zhao, Neil Shah, Jiliang Tang
Neural Scaling Laws on Graphs. CoRR (2024)
Wenyuan Yang, Xiaoyu Zhou, Zhikai Chen, Bofei Guo, Zhongjie Ba, Zhihua Xia, Xiaochun Cao, Kui Ren
AVoiD-DF: Audio-Visual Joint Learning for Detecting Deepfake. IEEE Trans. Inf. Forensics Secur. 18 (2023)
Zhikai Chen, Haitao Mao, Hang Li, Wei Jin, Hongzhi Wen, Xiaochi Wei, Shuaiqiang Wang, Dawei Yin, Wenqi Fan, Hui Liu, Jiliang Tang
Exploring the Potential of Large Language Models (LLMs) in Learning on Graphs. CoRR (2023)
Zhikai Chen, Haitao Mao, Hongzhi Wen, Haoyu Han, Wei Jin, Haiyang Zhang, Hui Liu, Jiliang Tang
Label-free Node Classification on Graphs with Large Language Models (LLMS). CoRR (2023)
Haitao Mao, Zhikai Chen, Wei Jin, Haoyu Han, Yao Ma, Tong Zhao, Neil Shah, Jiliang Tang
Demystifying Structural Disparity in Graph Neural Networks: Can One Size Fit All? CoRR (2023)
Zhikai Chen, Haitao Mao, Hang Li, Wei Jin, Hongzhi Wen, Xiaochi Wei, Shuaiqiang Wang, Dawei Yin, Wenqi Fan, Hui Liu, Jiliang Tang
Exploring the Potential of Large Language Models (LLMs)in Learning on Graphs. SIGKDD Explor. 25 (2) (2023)
Zhikai Chen, Fuchen Long, Zhaofan Qiu, Ting Yao, Wengang Zhou, Jiebo Luo, Tao Mei
AnchorFormer: Point Cloud Completion from Discriminative Nodes. CVPR (2023)
Junpei Liao, Zhikai Chen, Liang Yi, Wenyuan Yang, Baoyuan Wu, Xiaochun Cao
Inter-frame Accelerate Attack against Video Interpolation Models. CoRR (2023)
Haitao Mao, Zhikai Chen, Wei Jin, Haoyu Han, Yao Ma, Tong Zhao, Neil Shah, Jiliang Tang
Demystifying Structural Disparity in Graph Neural Networks: Can One Size Fit All? NeurIPS (2023)
Zhikai Chen, Yafei Wang, Xulei Liu, Xinchang Wang
FS-GRU: Continuous Perception and Prediction with inter Frame Feature Sharing. ITSC (2022)
Zhikai Chen, Peng Wu, Li Pan
Leveraging Diversity-Aware Context Attention Networks for Fake News Detection on Social Platforms. IJCNN (2022)
Run Wang, Ziheng Huang, Zhikai Chen, Li Liu, Jing Chen, Lina Wang
Anti-Forgery: Towards a Stealthy and Robust DeepFake Disruption Attack via Adversarial Perceptual-aware Perturbations. CoRR (2022)
Run Wang, Ziheng Huang, Zhikai Chen, Li Liu, Jing Chen, Lina Wang
Anti-Forgery: Towards a Stealthy and Robust DeepFake Disruption Attack via Adversarial Perceptual-aware Perturbations. IJCAI (2022)
Zhikai Chen, Lingxi Xie, Shanmin Pang, Yong He, Qi Tian
Appending Adversarial Frames for Universal Video Attack. WACV (2021)
Zhikai Chen, Lingxi Xie, Shanmin Pang, Yong He, Bo Zhang
MagDR: Mask-Guided Detection and Reconstruction for Defending Deepfakes. CVPR (2021)
Zhikai Chen, Lingxi Xie, Shanmin Pang, Yong He, Bo Zhang
MagDR: Mask-guided Detection and Reconstruction for Defending Deepfakes. CoRR (2021)
Wenyu Hao, Shanmin Pang, Zhikai Chen
Multi-view spectral clustering via common structure maximization of local and global representations. Neural Networks 143 (2021)
Zhikai Chen, Lingxi Xie, Shanmin Pang, Yong He, Qi Tian
Appending Adversarial Frames for Universal Video Attack. CoRR (2019)
Xin Jin, Zhibo Chen, Jianxin Lin, Zhikai Chen, Wei Zhou
Unsupervised Single Image Deraining with Self-Supervised Constraints. ICIP (2019)
Xin Jin, Zhibo Chen, Jianxin Lin, Zhikai Chen, Wei Zhou
Unsupervised Single Image Deraining with Self-supervised Constraints. CoRR (2018)
Zhikai Chen, Kurt Maly, Piyush Mehrotra, Mohammad Zubair
Arcade: A Web-Java Based Framework for Distributed Computing. WebNet (1999)
Zhikai Chen, Kurt Maly, Piyush Mehrotra, Praveen K. Vangala, Mohammad Zubair
Web-based Framework for Distributed Computing. Concurr. Pract. Exp. 9 (11) (1997)