| 2026 | AAAI | Revisiting the Data Sampling in Multimodal Post-training from a Difficulty-Distinguish View. | Jianyu Qi, Ding Zou, Wenrui Yan, Rui Ma, Jiaxu Li, Zhijie Zheng, Zhiguo Yang, Rongchang Zhao |
| 2026 | ACL | Bridging SFT and RL: Dynamic Policy Optimization for Robust Reasoning. | Taojie Zhu, Dongyang Xu, Ding Zou, Sen Zhao, Qiaobo Hao, Zhiguo Yang, Yonghong He |
| 2025 | EMNLP | Curr-ReFT: Overcoming Training Bottlenecks in Small-scale Vision-Language Models via Curriculum Reinforcement Finetuning. | Huilin Deng, Ding Zou, Xinghao Zhao, Rui Ma, Yanming Guo, Yang Cao, Yu Kang |
| 2024 | COCOA | An Equally-Split Bin Packing Problem. | Ding Zou, Jiayi Lian, Wei Lu, Yichao Duan, Xingyu Lu, Jun Zhou, Yuchen Mao, Guochuan Zhang |
| 2024 | WWW | Knowledge Enhanced Multi-intent Transformer Network for Recommendation. | Ding Zou, Wei Wei, Feida Zhu, Chuanyu Xu, Tao Zhang, Chengfu Huo |
| 2022 | AAAI | Multi-View Intent Disentangle Graph Networks for Bundle Recommendation. | Sen Zhao, Wei Wei, Ding Zou, Xianling Mao |
| 2022 | CIKM | Improving Knowledge-aware Recommendation with Multi-level Interactive Contrastive Learning. | Ding Zou, Wei Wei, Ziyang Wang, Xian-Ling Mao, Feida Zhu, Rui Fang, Dangyang Chen |
| 2022 | SIGIR | Multi-level Cross-view Contrastive Learning for Knowledge-aware Recommender System. | Ding Zou, Wei Wei, Xian-Ling Mao, Ziyang Wang, Minghui Qiu, Feida Zhu, Xin Cao |