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
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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
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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
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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
Multi-level Cross-view Contrastive Learning for Knowledge-aware Recommender System
Published in SIGIR 2022, 2022
We study the sparse supervision problem in knowledge-aware recommender systems and introduce a self-supervised contrastive learning framework. Our approach models multiple graph views at different semantic levels and performs cross-view contrastive learning to enhance representation robustness. Experimental results show consistent gains across multiple public benchmarks.
Recommended citation: Ding Zou, Wei Wei, Xian-Ling Mao, Ziyang Wang, Minghui Qiu, Feida Zhu, and Xin Cao. Multi-level Cross-view Contrastive Learning for Knowledge-aware Recommender System. SIGIR 2022, 1358-1368.
Knowledge Enhanced Multi-intent Transformer Network for Recommendation
Published in WWW 2024, 2024
This paper addresses the challenges of multi-intent modeling and knowledge noise in knowledge-aware recommendation systems. We propose a knowledge-enhanced multi-intent transformer that integrates global heterogeneous information to model user intents while selectively filtering intent-irrelevant knowledge triples. Extensive experiments on multiple benchmark datasets demonstrate consistent improvements over strong baselines.
Recommended citation: Ding Zou, Wei Wei, Feida Zhu, Chuanyu Xu, Tao Zhang, and Chengfu Huo. Knowledge Enhanced Multi-intent Transformer Network for Recommendation. Companion Proceedings of the ACM Web Conference 2024, 1-9.
Boosting the Generalization and Reasoning of Vision Language Models with Curriculum Reinforcement Learning
Published in EMNLP 2025 Findings, 2025
We propose Curriculum Reinforcement Learning for improving reasoning and out-of-distribution generalization of small-scale Vision-Language Models.
Recommended citation: Ding Zou et al. Boosting the Generalization and Reasoning of Vision Language Models with Curriculum Reinforcement Learning. EMNLP 2025 Findings.
EmbodiedBrain: Expanding Performance Boundaries of Task Planning for Embodied Intelligence
Published in arXiv, 2025
We present EmbodiedBrain, a large-scale embodied planning model trained with multimodal post-training and reinforcement learning.
Recommended citation: Ding Zou et al. EmbodiedBrain: Expanding Performance Boundaries of Task Planning for Embodied Intelligence. arXiv:2510.20578.
Revisiting the Data Sampling in Multimodal Post-training from a Difficulty-Distinguish View
Published in AAAI 2026, 2026
This paper revisits multimodal data sampling strategies for reinforcement learning based post-training from a difficulty-distinguish perspective.
Recommended citation: J Qi, Ding Zou, Wentao Yan, Rui Ma, Jiawei Li, Zhibin Zheng, Zhen Yang, and Rui Zhao. Revisiting the Data Sampling in Multimodal Post-training from a Difficulty-Distinguish View. AAAI 2026.
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
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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.