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
Published:
This post will show up by default. To disable scheduling of future posts, edit config.yml and set future: false.
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
Social influence learning for recommendation systems.
Published in CIKM24, 2024
This paper is done by my junior colleague Simon.
Recommended citation: Chen Ximing, Lei Pui Ieng, Sheng Yijun, Liu Yanyan, & Gong Zhiguo*. (2024, October). Social influence learning for recommendation systems. In Proceedings of the 33rd ACM International Conference on Information and Knowledge Management (CIKM), pp. 312–322.
Download Paper
Learning Invariant Reliability under Diverse Contexts for Robust Multimedia Recommendation
Published in CIKM25, 2025
This paper is my second work.
Recommended citation: Sheng Yijun, Lei Pui Ieng, Liu Yanyan, Chen Ximing, & Gong Zhiguo*. (2025, October). Learning Invariant Reliability under Diverse Contexts for Robust Multimedia Recommendation. In Proceedings of the 33rd ACM International Conference on Information and Knowledge Management (CIKM), in Press.
Download Paper
Local Structure-Adaptive Graph Filtering for Collaborative Filtering
Published in CIKM25, 2025
This paper is my thid work.
Recommended citation: Sheng Yijun, Chen Ximing, Lei Pui Ieng, Liu Yanyan, & Gong Zhiguo*. (2025, October). Local Structure-Adaptive Graph Filtering for Collaborative Filtering. In Proceedings of the 33rd ACM International Conference on Information and Knowledge Management (CIKM), in Press.
Download Paper
Dual space multi-granular model for multi-interest sequential recommendation
Published in Knowledge-Based Systems, 2025
This paper is my first work.
Recommended citation: Sheng Yijun, Lei Pui Ieng, Liu Yanyan, Chen Ximing, Xu Qiwen, & Gong Zhiguo*. (2025). Dual space multi-granular model for multi-interest sequential recommendation. Knowledge-Based Systems.
Download Paper
Efficient energy-based neural topic modeling with embeddings.
Published in Neurocomputing, 2025
This paper is done by my senior colleague Yanyan.
Recommended citation: Liu Yanyan, Lei Pui Ieng, Sheng Yijun, Chen Ximing, & Gong Zhiguo*. (2025). Efficient energy-based neural topic modeling with embeddings. Neurocomputing, 638, 130179.
Download Paper
Aggregate, Optimize, and Propagate: A Forward-Forward Algorithm Framework for Graph-Based Recommendation
Published in DASFAA26, 2026
This paper proposes a Forward-Forward framework for graph-based recommendation.
Recommended citation: Chen Ximing, Lei Pui Ieng, Sheng Yijun, Liu Yanyan, & Gong Zhiguo*. (2026, April). Aggregate, Optimize, and Propagate: A Forward-Forward Algorithm Framework for Graph-Based Recommendation. In Database Systems for Advanced Applications (DASFAA), pp. 406–423.
Download Paper
Dual graph collaborative filtering
Published in Knowledge and Information Systems, 2026
This paper models both interest and disinterest collaborative signals for graph-based recommendation.
Recommended citation: Sheng Yijun, Liu Yanyan, Lei Pui Ieng, Chen Ximing, & Gong Zhiguo*. (2026). Dual graph collaborative filtering. Knowledge and Information Systems, 68(1), 182.
Download Paper
Adaptive Graph Reweighting for Collaborative Filtering
Published in WWW26, 2026
This paper improves graph connectivity for collaborative filtering by adaptively reweighting edges.
Recommended citation: Sheng Yijun, Chen Ximing, Lei Pui Ieng, Liu Yanyan, & Gong Zhiguo*. (2026). Adaptive Graph Reweighting for Collaborative Filtering. In Proceedings of the ACM Web Conference (WWW), pp. 5710–5721.
Download Paper
Gradual Domain Adaptation for Graph Learning
Published in ACM TIST, 2026
This paper proposes a gradual domain adaptation framework for graph learning under large distribution shifts.
Recommended citation: Lei Pui Ieng, Chen Ximing, Sheng Yijun, Liu Yanyan, Gong Zhiguo*, & Yang Qiang. (2026). Gradual Domain Adaptation for Graph Learning. ACM Transactions on Intelligent Systems and Technology, 17(5), Article 112, pp. 1–45.
Download Paper
Towards A Tri-View Diffusion Framework for Recommendation
Published in KDD26, 2026
This paper studies diffusion-based recommendation through energy, entropy, and hard-negative sampling.
Recommended citation: Chen Ximing, Lei Pui Ieng, Sheng Yijun, Liu Yanyan, & Gong Zhiguo*. (2026, August). Towards A Tri-View Diffusion Framework for Recommendation. In Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), pp. 116–127.
Download Paper