Yuchao Zheng

According to our database, Yuchao Zheng authored at least 15 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Rec-Distill: An Industrial Distillation Pipeline for Large-Scale Recommendation Models.

Haoran Ding, Wenlin Zhao, Yuchen Jiang, Juren Li, Jie Zhu, Xinchun Li, Yishujie Zhao, Yi Zhang, Ao Qiao, Jianhui Dong, Cheng Chen, Ziyan Gong, Deping Xie, Peng Xu, Zikai Wang, Yuwei Wang, Huizhi Yang, Zhe Chen, Yuchao Zheng

CoRR, May, 2026

MixFormer: Co-Scaling Up Dense and Sequence in Industrial Recommenders.

Xu Huang, Hao Zhang, Zhifang Fan, Yunwen Huang, Zhuoxing Wei, Zheng Chai, Jinan Ni, Yuchao Zheng, Qiwei Chen

CoRR, February, 2026

Compute Only Once: UG-Separation for Efficient Large Recommendation Models.

Hui Lu, Zheng Chai, Shipeng Bai, Hao Zhang, Zhifang Fan, Kunmin Bai, Yingwen Wu, Bingzheng Wei, Xiang Sun, Ziyan Gong, Tianyi Liu, Hua Chen, Deping Xie, Zhongkai Chen, Zhiliang Guo, Qiwei Chen, Yuchao Zheng

CoRR, February, 2026

MSN: A Memory-based Sparse Activation Scaling Framework for Large-scale Industrial Recommendation.

Shikang Wu, Hui Lu, Jinqiu Jin, Zheng Chai, Shiyong Hong, Junjie Zhang, Shanlei Mu, Kaiyuan Ma, Tianyi Liu, Yuchao Zheng, Zhe Wang, Jingjian Lin

CoRR, February, 2026

TokenMixer-Large: Scaling Up Large Ranking Models in Industrial Recommenders.

Yuchen Jiang, Jie Zhu, Xintian Han, Hui Lu, Kunmin Bai, Mingyu Yang, Shikang Wu, Ruihao Zhang, Wenlin Zhao, Shipeng Bai, Sijin Zhou, Huizhi Yang, Tianyi Liu, Wenda Liu, Ziyan Gong, Haoran Ding, Zheng Chai, Deping Xie, Zhe Chen, Yuchao Zheng, Peng Xu

CoRR, February, 2026

HyFormer: Revisiting the Roles of Sequence Modeling and Feature Interaction in CTR Prediction.

Yunwen Huang, Shiyong Hong, Xijun Xiao, Jinqiu Jin, Xuanyuan Luo, Zhe Wang, Zheng Chai, Shikang Wu, Yuchao Zheng, Jingjian Lin

CoRR, January, 2026

2025

LEMUR: Large scale End-to-end MUltimodal Recommendation.

Xintian Han, Honggang Chen, Quan Lin, Jingyue Gao, Xiangyuan Ren, Lifei Zhu, Zhisheng Ye, Shikang Wu, Xionghang Xie, Xiaochu Gan, Bingzheng Wei, Peng Xu, Zhe Wang, Yuchao Zheng, Jingjian Lin, Di Wu, Junfeng Ge

CoRR, November, 2025

LongRetriever: Towards Ultra-Long Sequence based Candidate Retrieval for Recommendation.

Qin Ren, Zheng Chai, Xijun Xiao, Yuchao Zheng, Di Wu

CoRR, August, 2025

Large Memory Network for Recommendation.

Hui Lu, Zheng Chai, Yuchao Zheng, Zhe Chen, Deping Xie, Peng Xu, Xun Zhou, Di Wu

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

Pyramid Mixer: Multi-dimensional Multi-period Interest Modeling for Sequential Recommendation.

Zhen Gong, Zhifang Fan, Hui Lu, Qiwei Chen, Chenbin Zhang, Lin Guan, Yuchao Zheng, Feng Zhang, Xiao Yang, Zuotao Liu

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

Adaptive Domain Scaling for Personalized Sequential Modeling in Recommenders.

Zheng Chai, Hui Lu, Di Chen, Qin Ren, Yuchao Zheng, Xun Zhou

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

LONGER: Scaling Up Long Sequence Modeling in Industrial Recommenders.

Zheng Chai, Qin Ren, Xijun Xiao, Huizhi Yang, Bo Han, Sijun Zhang, Di Chen, Hui Lu, Wenlin Zhao, Lele Yu, Xionghang Xie, Shiru Ren, Xiang Sun, Yaocheng Tan, Peng Xu, Yuchao Zheng, Di Wu

Proceedings of the Nineteenth ACM Conference on Recommender Systems, 2025

RankMixer: Scaling Up Ranking Models in Industrial Recommenders.

Jie Zhu, Zhifang Fan, Xiaoxie Zhu, Yuchen Jiang, Hangyu Wang, Xintian Han, Haoran Ding, Xinmin Wang, Wenlin Zhao, Zhen Gong, Huizhi Yang, Zheng Chai, Zhe Chen, Yuchao Zheng, Qiwei Chen, Feng Zhang, Xun Zhou, Peng Xu, Xiao Yang, Di Wu, Zuotao Liu

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

2021

Joint Geoeffectiveness and Arrival Time Prediction of CMEs by a Unified Deep Learning Framework.

Huiyuan Fu, Yuchao Zheng, Yudong Ye, Xueshang Feng, Chaoxu Liu, Huadong Ma

Remote. Sens., 2021

Transformer based Neural Network for Fine-Grained Classification of Vehicle Color.

Yingjin Wang, Chuanming Wang, Yuchao Zheng, Huiyuan Fu, Huadong Ma

Proceedings of the 4th IEEE International Conference on Multimedia Information Processing and Retrieval, 2021