Web-based Framework for Distributed Computing. - Zhikai Chen; Kurt Maly; Piyush Mehrotra; Praveen K. Vangala; Mohammad Zubair (Concurr. Pract. Exp., 1997)

Arcade: A Web-Java Based Framework for Distributed Computing. - Zhikai Chen; Kurt Maly; Piyush Mehrotra; Mohammad Zubair (WebNet, 1999)

Unsupervised Single Image Deraining with Self-Supervised Constraints. - Xin Jin 014; Zhibo Chen 001; Jianxin Lin; Zhikai Chen; Wei Zhou 021 (ICIP, 2019)

MagDR: Mask-Guided Detection and Reconstruction for Defending Deepfakes. - Zhikai Chen; Lingxi Xie; Shanmin Pang; Yong He; Bo Zhang 010 (CVPR, 2021)

Appending Adversarial Frames for Universal Video Attack. - Zhikai Chen; Lingxi Xie; Shanmin Pang; Yong He; Qi Tian 001 (WACV, 2021)

Multi-view spectral clustering via common structure maximization of local and global representations. - Wenyu Hao; Shanmin Pang; Zhikai Chen (Neural Networks, 2021)

Anti-Forgery: Towards a Stealthy and Robust DeepFake Disruption Attack via Adversarial Perceptual-aware Perturbations. - Run Wang 001; Ziheng Huang; Zhikai Chen; Li Liu; Jing Chen 003; Lina Wang 001 (IJCAI, 2022)

Leveraging Diversity-Aware Context Attention Networks for Fake News Detection on Social Platforms. - Zhikai Chen; Peng Wu 013; Li Pan 002 (IJCNN, 2022)

FS-GRU: Continuous Perception and Prediction with inter Frame Feature Sharing. - Zhikai Chen; Yafei Wang 002; Xulei Liu; Xinchang Wang (ITSC, 2022)

AnchorFormer: Point Cloud Completion from Discriminative Nodes. - Zhikai Chen; Fuchen Long; Zhaofan Qiu; Ting Yao; Wengang Zhou 001; Jiebo Luo 001; Tao Mei 001 (CVPR, 2023)

Demystifying Structural Disparity in Graph Neural Networks: Can One Size Fit All? - Haitao Mao; Zhikai Chen; Wei Jin 009; Haoyu Han 001; Yao Ma 001; Tong Zhao 003; Neil Shah; Jiliang Tang (NeurIPS, 2023)

Inter-frame Accelerate Attack against Video Interpolation Models. - Junpei Liao; Zhikai Chen; Liang Yi; Wenyuan Yang; Baoyuan Wu; Xiaochun Cao (CoRR, 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 001 (IEEE Trans. Inf. Forensics Secur., 2023)

Exploring the Potential of Large Language Models (LLMs)in Learning on Graphs. - Zhikai Chen; Haitao Mao; Hang Li 007; Wei Jin 009; Hongzhi Wen; Xiaochi Wei; Shuaiqiang Wang; Dawei Yin; Wenqi Fan; Hui Liu 031; Jiliang Tang (SIGKDD Explor., 2023)

Learning Spatial Adaptation and Temporal Coherence in Diffusion Models for Video Super-Resolution. - Zhikai Chen; Fuchen Long; Zhaofan Qiu; Ting Yao; Wengang Zhou 001; Jiebo Luo 001; Tao Mei 001 (CVPR, 2024)

Label-free Node Classification on Graphs with Large Language Models (LLMs). - Zhikai Chen; Haitao Mao; Hongzhi Wen; Haoyu Han 001; Wei Jin 009; Haiyang Zhang; Hui Liu 031; Jiliang Tang (ICLR, 2024)

Position: Graph Foundation Models Are Already Here. - Haitao Mao; Zhikai Chen; Wenzhuo Tang; Jianan Zhao 002; Yao Ma 001; Tong Zhao 003; Neil Shah; Mikhail Galkin 001; Jiliang Tang (ICML, 2024)

Towards Neural Scaling Laws on Graphs. - Jingzhe Liu; Haitao Mao; Zhikai Chen; Tong Zhao 003; Neil Shah; Jiliang Tang (LoG, 2024)

A Pure Transformer Pretraining Framework on Text-Attributed Graphs. - Yu Song; Haitao Mao; Jiachen Xiao; Jingzhe Liu; Zhikai Chen; Wei Jin 009; Carl Yang 001; Jiliang Tang; Hui Liu 031 (LoG, 2024)

Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights. - Zhikai Chen; Haitao Mao; Jingzhe Liu; Yu Song; Bingheng Li; Wei Jin 009; Bahare Fatemi; Anton Tsitsulin; Bryan Perozzi; Hui Liu 031; Jiliang Tang (NeurIPS, 2024)

The 1st International Workshop on Graph Foundation Models (GFM). - Haitao Mao; Jianan Zhao 002; Xiaoxin He; Zhikai Chen; Qian Huang; Zhaocheng Zhu; Jian Tang 005; Michael M. Bronstein; Xavier Bresson; Bryan Hooi; Haiyang Zhang; Xianfeng Tang; et al. (WWW (Companion Volume), 2024)

Neural Scaling Laws on Graphs. - Jingzhe Liu; Haitao Mao; Zhikai Chen; Tong Zhao 003; Neil Shah; Jiliang Tang (CoRR, 2024)

Graph Foundation Models. - Haitao Mao; Zhikai Chen; Wenzhuo Tang; Jianan Zhao 002; Yao Ma 001; Tong Zhao 003; Neil Shah; Mikhail Galkin 001; Jiliang Tang (CoRR, 2024)

Enhancing ID and Text Fusion via Alternative Training in Session-based Recommendation. - Juanhui Li; Haoyu Han 001; Zhikai Chen; Harry Shomer; Wei Jin 009; Amin Javari; Jiliang Tang (CoRR, 2024)

Graph Machine Learning in the Era of Large Language Models (LLMs). - Wenqi Fan; Shijie Wang 002; Jiani Huang 001; Zhikai Chen; Yu Song; Wenzhuo Tang; Haitao Mao; Hui Liu 031; Xiaorui Liu; Dawei Yin; Qing Li 001 (CoRR, 2024)

Learning on Graphs with Large Language Models(LLMs): A Deep Dive into Model Robustness. - Kai Guo 003; Zewen Liu 005; Zhikai Chen; Hongzhi Wen; Wei Jin 009; Jiliang Tang; Yi Chang 001 (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)

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 003; Neil Shah; Jiliang Tang (CoRR, 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 001 (IEEE Trans. Image Process., 2024)

Learning 3D Shape Latent for Point Cloud Completion. - Zhikai Chen; Fuchen Long; Zhaofan Qiu; Ting Yao; Wengang Zhou 001; Jiebo Luo 001; Tao Mei 001 (IEEE Trans. Multim., 2024)

AutoG: Towards automatic graph construction from tabular data. - Zhikai Chen; Han Xie; Jian Zhang; Xiang Song 003; Jiliang Tang; Huzefa Rangwala; George Karypis (ICLR, 2025)

CausalEval: Towards Better Causal Reasoning in Language Models. - Longxuan Yu; Delin Chen; Siheng Xiong; Qingyang Wu; Dawei Li; Zhikai Chen; Xiaoze Liu; Liangming Pan (NAACL (Long Papers), 2025)

Towards robust DeepFake distortion attack via adversarial autoaugment. - Qi Guo 008; Shanmin Pang; Zhikai Chen; Qing Guo 005 (Neurocomputing, 2025)

Unveiling Mode Connectivity in Graph Neural Networks. - Bingheng Li; Zhikai Chen; Haoyu Han 001; Shenglai Zeng; Jingzhe Liu; Jiliang Tang (CoRR, 2025)

A Grounding Fault Location Method for Auxiliary Power Supply Circuit in Electrical Locomotive. - Aiyu Gu; Yang Meng; Qiang Ni; Zhikai Chen; Jialin Li; Xueming Li (IEEE Trans. Ind. Electron., 2025)

A Pre-training Framework for Relational Data with Information-theoretic Principles. - Quang Truong; Zhikai Chen; Mingxuan Ju; Tong Zhao 003; Neil Shah; Jiliang Tang (CoRR, 2025)

Single-Gate Driving and Nonisolated Power Supply Technology for Series SiC-MOSFETs in High-Voltage Applications. - Yu Xiao; Zhixing He; Zongjian Li; Biao Liu; Zhikai Chen; Zhikang Shuai; Lei Wang 067 (IEEE Trans. Ind. Electron., 2025)