Yabo Ni

According to our database, Yabo Ni authored at least 22 papers between 2013 and 2026.

Collaborative distances:

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

2026

ManCAR: Manifold-Constrained Latent Reasoning with Adaptive Test-Time Computation for Sequential Recommendation.

Kun Yang, Yuxuan Zhu, Yazhe Chen, Siyao Zheng, Bangyang Hong, Kangle Wu, Yabo Ni, Anxiang Zeng, Cong Fu, Hui Li

CoRR, February, 2026

Rethinking Generative Recommender Tokenizer: Recsys-Native Encoding and Semantic Quantization Beyond LLMs.

Yu Liang, Zhongjin Zhang, Yuxuan Zhu, Kerui Zhang, Zhiluohan Guo, Wenhang Zhou, Zonqi Yang, Kangle Wu, Yabo Ni, Anxiang Zeng, Cong Fu, Jianxin Wang, Jiazhi Xia

CoRR, February, 2026

TreeBridge: Aligning LLM Embeddings in Industrial Recommender Systems.

Yabo Ni, Yuanpeng Cao, Wenhang Zhou, Bangyang Hong, Zhongyi Zhang, Enlei Cai, Kangle Wu, Anxiang Zeng, Han Yu, Xiaoxiao Li

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Reveal Hidden Pitfalls and Navigate Next Generation of Vector Similarity Search from Task-Centric Views.

Tingyang Chen, Cong Fu, Jiahua Wu, Haotian Wu, Hua Fan, Xiangyu Ke, Yunjun Gao, Yabo Ni, Anxiang Zeng

CoRR, December, 2025

A Probabilistic Framework for Temporal Distribution Generalization in Industry-Scale Recommender Systems.

Yuxuan Zhu, Cong Fu, Yabo Ni, Anxiang Zeng, Yuan Fang

CoRR, November, 2025

Learning Personalizable Clustered Embedding for Recommender Systems.

Yizhou Chen, Guangda Huzhang, Anxiang Zeng, Qingtao Yu, Hui Sun, Heng-Yi Li, Jingyi Li, Yabo Ni, Han Yu, Zhiming Zhou

Trans. Recomm. Syst., September, 2025

OnePiece: Bringing Context Engineering and Reasoning to Industrial Cascade Ranking System.

Sunhao Dai, Jiakai Tang, Jiahua Wu, Kun Wang, Yuxuan Zhu, Bingjun Chen, Bangyang Hong, Yu Zhao, Cong Fu, Kangle Wu, Yabo Ni, Anxiang Zeng, Wenjie Wang, Xu Chen, Jun Xu, See-Kiong Ng

CoRR, September, 2025

A Neural Network-Enhanced Digital Background Calibration Algorithm for Residue Amplifier Nonlinearity in Pipelined ADCs.

Yutao Peng, Ziwei Lai, Hu Wang, Jun Zhang, Dongbing Fu, Yabo Ni, Tao Liu, Zhifei Lu, Xizhu Peng, He Tang

IEEE Trans. Circuits Syst. II Express Briefs, August, 2025

A 12-bit 2-GS/s Pipeline ADC in 28-nm CMOS With Linear-Error Self-Calibration.

Yabo Ni, Lu Liu, Yong Zhang, Tao Zhu

IEEE Trans. Very Large Scale Integr. Syst., June, 2025

Kolmogorov-Arnold Networks-Based Calibration for Single-Channel ADCs: High-Precision Nonlinear Code Synthesis With Low Power Consumption.

Yutao Peng, Xizhu Peng, Hu Wang, Dongbing Fu, Yabo Ni, Can Zhu, Boyuan Zhang, Lei Chen, Zhe Hu, Zhifei Lu, He Tang, Mingqiang Guo

IEEE Trans. Circuits Syst. I Regul. Pap., June, 2025

Maximum Inner Product is Query-Scaled Nearest Neighbor.

Tingyang Chen, Cong Fu, Kun Wang, Xiangyu Ke, Yunjun Gao, Wenchao Zhou, Yabo Ni, Anxiang Zeng

Proc. VLDB Endow., February, 2025

Dynamic masking-based feature interaction modeling for e-commerce click-through rate prediction.

Yabo Ni, Yueqiu Wu, Jingyi Li, Anxiang Zeng, Han Yu, Xiaoxiao Li

Eng. Appl. Artif. Intell., 2025

Stitching Inner Product and Euclidean Metrics for Topology-aware Maximum Inner Product Search.

Tingyang Chen, Cong Fu, Xiangyu Ke, Yunjun Gao, Yabo Ni, Anxiang Zeng

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

Embed Progressive Implicit Preference in Unified Space for Deep Collaborative Filtering.

Zhongjin Zhang, Yu Liang, Cong Fu, Yuxuan Zhu, Kun Wang, Yabo Ni, Anxiang Zeng, Jiazhi Xia

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

2024

An E-Commerce Dataset Revealing Variations during Sales.

Jianfu Zhang, Qingtao Yu, Yizhou Chen, Guoliang Zhou, Yawen Liu, Yawei Sun, Chen Liang, Guangda Huzhang, Yabo Ni, Anxiang Zeng, Han Yu

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Residual Multi-Task Learner for Applied Ranking.

Cong Fu, Kun Wang, Jiahua Wu, Yizhou Chen, Guangda Huzhang, Yabo Ni, Anxiang Zeng, Zhiming Zhou

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

2023

Clustered Embedding Learning for Recommender Systems.

Yizhou Chen, Guangda Huzhang, Anxiang Zeng, Qingtao Yu, Hui Sun, Heng-Yi Li, Jingyi Li, Yabo Ni, Han Yu, Zhiming Zhou

Proceedings of the ACM Web Conference 2023, 2023

2022

Prior-Guided Transfer Learning for Enhancing Item Representation in E-commerce.

Heng-Yi Li, Yabo Ni, Anxiang Zeng, Han Yu, Chunyan Miao

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Enhancing E-commerce Recommender System Adaptability with Online Deep Controllable Learning-To-Rank.

Anxiang Zeng, Han Yu, Hua-Lin He, Yabo Ni, Yongliang Li, Jingren Zhou, Chunyan Miao

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Scenario-aware and Mutual-based approach for Multi-scenario Recommendation in E-Commerce.

Yuting Chen, Yanshi Wang, Yabo Ni, Anxiang Zeng, Lanfen Lin

Proceedings of the 20th International Conference on Data Mining Workshops, 2020

2018

Perceive Your Users in Depth: Learning Universal User Representations from Multiple E-commerce Tasks.

Yabo Ni, Dan Ou, Shichen Liu, Xiang Li, Wenwu Ou, Anxiang Zeng, Luo Si

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

2013

Personalized automatic image annotation based on reinforcement learning.

Yabo Ni, Miao Zheng, Jiajun Bu, Chun Chen, Dazhou Wang

Proceedings of the 2013 IEEE International Conference on Multimedia and Expo, 2013