I'm currently a CS PhD student at Michigan State University. My CV

Currently working on new directions.

Publications

• Exploring Cross-Scenario Generality of Agentic Memory Systems: Diagnostics and a Strong Baseline Zhikai Chen, Jialiang Gu, Junyu Yin, Xianxuan Long, Shenglai Zeng, Xiaoze Liu, Kai Guo, Keren Zhou, Jiliang Tang; arXiv 2026
• Do Proactive Agents Really Need an LLM to Decide When to Wake and What to Anchor? Xiaoze Liu, Ruowang Zhang, Amir H. Abdi, Michel Galley, Zhikai Chen, Siheng Xiong, Xiaoqian Wang, Jing Gao; arXiv 2026

Projects

• Amadeus: AI-powered research assistant for paper discovery, reading, and analysis
• Slack GPU Monitor: A slack bot to manage your server's GPU.

Writings

• A tutorial on DL Infra (Chinese version)
• Notes on optimization

• OpenRFM: Dissecting Relational In-Context Learning Zhikai Chen, Junyu Yin, Jialiang Gu, Siheng Xiong, Xiaoze Liu, Ruowang Zhang, Keren Zhou, Kai Guo; arXiv 2026
• RFMBench: Towards Principled Benchmarking of Relational Foundation Models Zhikai Chen, Han Xie, Jian Zhang, Haiyang Yu, Huzefa Rangwala, Xiang Song; preprint 2026
• AutoG: Towards automatic graph construction from tabular data Zhikai Chen, Han Xie, Jian Zhang, Xiang Song, Jiliang Tang, Huzefa Rangwala, George Karypis; ICLR 2025 (poster) Code
• A Pre-training Framework for Relational Data with Information-theoretic Principles Quang Truong, Zhikai Chen, Mingxuan Ju, Tong Zhao, Neil Shah, Jiliang Tang, NeurIPS 2025
• Relatron: Automating Relational Machine Learning over Relational Databases, ICLR 2026 Zhikai Chen, Han Xie, Jian Zhang, Jiliang Tang, Xiang Song, Huzefa Rangwala Paper Code

• Graph Foundation Models Haitao Mao*, Zhikai Chen*, Wenzhuo Tang, Jianan Zhao, Yao Ma, Tong Zhao, Neil Shah, Michael Galkin, Jiliang Tang 2024 [Paper lists]; ICML 2024 (Spotlight); * means equal contribution
• 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 Code; NeurIPS 2024 Datasets and Benchmarks Track (poster)
• Exploring the Potential of Large Language Models (LLMs) in Learning on Graphs preprint version journal version, Zhikai Chen, Haitao Mao, Hang Li, Wei Jin, Hongzhi Wen, Xiaochi Wei, Shuaiqiang Wang, Dawei Yin, Wenqi Fan, Hui Liu, Jiliang Tang 2023 Code; SIGKDD Explorations and NeurIPS GLFrontiers 2023
• 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 Code; ICLR 2024(poster)
• Neural Scaling Laws on Graphs Jingzhe Liu, Haitao Mao, Zhikai Chen, Tong Zhao, 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, Carl Yang, Jiliang Tang, Hui Liu, LOG 2024

Projects

• Fake News Detection

Publications

• Leveraging diversity-aware context attention networks for fake news detection on social platforms

Projects

• Blog System: Backend Management, Frontend
• Scheme Interpreter
• QEMU-based Toy Operating System
• An Android controller-app, you may use your mobile to control a screen remotely.