Sitemap
A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.
Pages
Posts
Future Blog Post
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Blog Post number 4
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 2
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 1
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
portfolio
Portfolio item number 1
Short description of portfolio item number 1
Portfolio item number 2
Short description of portfolio item number 2
publications
Self-Supervised Attributed Graph Learning: A Comprehensive Review
Published in IEEE Transactions on Knowledge and Data Engineering (TKDE), 2021
A review of self-supervised learning methods on attributed graphs.
Recommended citation: Xie, Y., Xu, Z., Ji, J., Wang, Z., Wang, S., Liu, J., Ding, T., Hou, Z., and Tang, J. (2021). "Self-Supervised Attributed Graph Learning: A Comprehensive Review." IEEE TKDE.
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GraphMAE: Self-Supervised Masked Graph Autoencoders
Published in International Conference on Machine Learning (ICML), 2022
ICML 2022 paper proposing masked autoencoding for self-supervised graph representation learning.
Recommended citation: Hou, Z., Liu, X., Cen, Y., Dong, Y., Jiang, H., Yang, H., Wang, C., and Tang, J. (2022). "GraphMAE: Self-Supervised Masked Graph Autoencoders." ICML.
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GraphMAE2: A Decoding-Enhanced Masked Self-Supervised Graph Learner
Published in ACM Web Conference (WWW), 2023
WWW 2023 paper extending masked graph autoencoding with enhanced decoding for stronger self-supervised graph representation learning.
Recommended citation: Hou, Z., et al. (2023). "GraphMAE2: A Decoding-Enhanced Masked Self-Supervised Graph Learner." WWW.
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Harnessing Large Language Models for Hyperedge Prediction
Published in AAAI Conference on Artificial Intelligence (AAAI), 2024
Using LLMs and hypergraph learning for hyperedge prediction tasks.
Recommended citation: Hou, Z., Fang, Y., Liu, Z., Cen, Y., Zheng, V., and Tang, J. (2024). "Harnessing Large Language Models for Hyperedge Prediction." AAAI.
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ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools
Published in arXiv, 2024
A technical report of the ChatGLM model family from GLM-130B to GLM-4.
Recommended citation: Zeng, A., Liu, X., Du, Z., Wang, Z., Lai, H., Hou, Z., and others. (2024). "ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools." arXiv:2406.12793.
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T1: Advancing Language Model Reasoning through Reinforcement Learning and Inference Scaling
Published in International Conference on Machine Learning (ICML), 2025
T1 studies reasoning improvements via reinforcement learning and inference-time scaling.
Recommended citation: Hu, W., Xu, C., Hou, Z., et al. (2025). "T1: Advancing Language Model Reasoning through Reinforcement Learning and Inference Scaling." ICML.
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GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation Models
Published in arXiv, 2025
GLM-4.5 introduces ARC-oriented large language models for agentic behavior, reasoning, and coding.
Recommended citation: Zhipu AI et al. (2025). "GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation Models." arXiv:2508.06471.
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talks
Talk 1 on Relevant Topic in Your Field
Published:
This is a description of your talk, which is a markdown file that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
Published:
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.