Portfolio item number 1
Short description of portfolio item number 1
Posts by Collection
portfolio
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
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.