Haijie Gu

According to our database, Haijie Gu authored at least 20 papers between 2006 and 2026.

Collaborative distances:

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

2026

SIREN: Unified Multi-Granularity Semantic Interaction for Multi-Modal Lifelong User Interest Modeling.

Yaqian Zhang, Ruyi Yu, Tianyi Li, Bohan Liu, Maoquan Ye, Ke Wang, Shifeng Wen, Junwei Pan, Lijie Wang, Qi Zhou, Yeshou Cai, Chengguo Yin, Lifeng Wang, Hui Li, Lei Xiao, Haijie Gu

CoRR, May, 2026

Expand More, Shrink Less: Shaping Effective-Rank Dynamics for Dense Scaling in Recommendation.

Guoming Li, Shangyu Zhang, Junwei Pan, Wentao Ning, Jin Chen, Gengsheng Xue, Chao Zhou, Shudong Huang, Haijie Gu, Menglin Yang

CoRR, May, 2026

Asymmetric Generative Recommendation via Multi-Expert Projection and Multi-Faceted Hierarchical Quantization.

Bin Huang, Xin Wang, Junwei Pan, Yongqi Zhou, Yifeng Zhou, Zhiyong Feng, Shudong Huang, Haijie Gu, Wenwu Zhu

CoRR, May, 2026

RankUp: Towards High-rank Representations for Large Scale Advertising Recommender Systems.

Jin Chen, Shangyu Zhang, Bin Hu, Chao Zhou, Junwei Pan, Gengsheng Xue, Wentao Ning, Gengyu Weng, Wang Zheng, Shaohua Liu, Zeen Xu, Chengyuan Mai, Shijie Quan, Tingyu Jiang, Lifeng Wang, Shudong Huang, Chengguo Yin, Haijie Gu, Jie Jiang

CoRR, April, 2026

TokenFormer: Unify the Multi-Field and Sequential Recommendation Worlds.

Yifeng Zhou, Yuehong Hu, Zhixiang Feng, Junwei Pan, Kaihui Wu, Hanyong Li, Shangyu Zhang, Shudong Huang, Zhangbin Zhu, Chengguo Yin, Haijie Gu, Jie Jiang

CoRR, April, 2026

Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation.

Junwei Pan, Wei Xue, Chao Zhou, Xing Zhou, Lunan Fan, Yanbo Wang, Haoran Xin, Zhiyu Hu, Yaozheng Wang, Fengye Xu, Yurong Yang, Xiaotian Li, Junbang Huo, Wentao Ning, Yuliang Sun, Chengguo Yin, Jun Zhang, Shudong Huang, Lei Xiao, Huan Yu, Irwin King, Haijie Gu, Jie Jiang

CoRR, April, 2026

2025

An Efficient Embedding Based Ad Retrieval with GPU-Powered Feature Interaction.

Yifan Lei, Jiahua Luo, Tingyu Jiang, Bo Zhang, Lifeng Wang, Dapeng Liu, Zhaoren Wu, Haijie Gu, Huan Yu, Jie Jiang

CoRR, November, 2025

Practice on Long Behavior Sequence Modeling in Tencent Advertising.

Xian Hu, Ming Yue, Zhixiang Feng, Junwei Pan, Junjie Zhai, Ximei Wang, Xinrui Miao, Qian Li, Xun Liu, Shangyu Zhang, Letian Wang, Hua Lu, Zijian Zeng, Chen Cai, Wei Wang, Fei Xiong, Pengfei Xiong, Jintao Zhang, Zhiyuan Wu, Chunhui Zhang, Anan Liu, Jiulong You, Chao Deng, Yuekui Yang, Shudong Huang, Dapeng Liu, Haijie Gu

CoRR, October, 2025

LEADRE: Multi-Faceted Knowledge Enhanced LLM Empowered Display Advertisement Recommender System.

Fengxin Li, Yi Li, Yue Liu, Chao Zhou, Yuan Wang, Xiaoxiang Deng, Wei Xue, Dapeng Liu, Lei Xiao, Haijie Gu, Jie Jiang, Hongyan Liu, Biao Qin, Jun He

Proc. VLDB Endow., August, 2025

Large Foundation Model for Ads Recommendation.

Shangyu Zhang, Shijie Quan, Zhongren Wang, Junwei Pan, Tianqu Zhuang, Bo Fu, Yilong Sun, Jieying Lin, Jushuo Chen, Xiaotian Li, Zhixiang Feng, Xian Hu, Huiting Deng, Hua Lu, Jinpeng Wang, Boqi Dai, Xiaoyu Chen, Bin Hu, Lili Huang, Yanwen Wu, Yeshou Cai, Qi Zhou, Huang Tang, Chunfeng Yang, Chengguo Yin, Tingyu Jiang, Lifeng Wang, Shudong Huang, Dapeng Liu, Lei Xiao, Haijie Gu, Shu-Tao Xia, Jie Jiang

CoRR, August, 2025

Topic Guided Multi-faceted Semantic Disentanglement for CTR prediction.

Fengxin Li, Zhiqian Yin, Hongyan Liu, Jingcai Guo, Jun He, Yi Li, Chao Zhou, Jun Zhang, Haijie Gu

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

2024

LEADRE: Multi-Faceted Knowledge Enhanced LLM Empowered Display Advertisement Recommender System.

Fengxin Li, Yi Li, Yue Liu, Chao Zhou, Yuan Wang, Xiaoxiang Deng, Wei Xue, Dapeng Liu, Lei Xiao, Haijie Gu, Jie Jiang, Hongyan Liu, Biao Qin, Jun He

CoRR, 2024

2020

AdaScale SGD: A User-Friendly Algorithm for Distributed Training.

Tyler B. Johnson, Pulkit Agrawal, Haijie Gu, Carlos Guestrin

Proceedings of the 37th International Conference on Machine Learning, 2020

2012

Identifying spam in the iOS app store.

Rishi Chandy, Haijie Gu

Proceedings of the 2nd Joint WICOW/AIRWeb Workshop on Web Quality, 2012

PowerGraph: Distributed Graph-Parallel Computation on Natural Graphs.

Joseph E. Gonzalez, Yucheng Low, Haijie Gu, Danny Bickson, Carlos Guestrin

Proceedings of the 10th USENIX Symposium on Operating Systems Design and Implementation, 2012

Sequential Nonparametric Regression.

Haijie Gu, John D. Lafferty

Proceedings of the 29th International Conference on Machine Learning, 2012

2011

Forest Density Estimation.

Han Liu, Min Xu, Haijie Gu, Anupam Gupta, John D. Lafferty, Larry A. Wasserman

J. Mach. Learn. Res., 2011

Efficient algorithm for a novel pattern of time series.

Haijie Gu, Gang Rong, Ji-Dong Shao

Expert Syst. Appl., 2011

2009

Evaluate time delay from sensor's data by trend similarity search.

Haijie Gu, Gang Rong

Int. J. Syst. Sci., 2009

2006

Mining Delay in Streaming Time Series of Industrial Process.

Haijie Gu, Gang Rong

Proceedings of the Advanced Data Mining and Applications, Second International Conference, 2006