Yabo Ni

29 papers A* 8A 1Journal 18Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
ManCAR: Manifold-Constrained Latent Reasoning with Adaptive Test-Time Computation for Sequential Recommendation.
CoRR
Kun Yang, Yuxuan Zhu, Yazhe Chen, Siyao Zheng, Bangyang Hong, Kangle Wu, Yabo Ni, Anxiang Zeng, Cong Fu, Hui Li
2026 J jnl
Rethinking Generative Recommender Tokenizer: Recsys-Native Encoding and Semantic Quantization Beyond LLMs.
CoRR
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
2026 A* conf
TreeBridge: Aligning LLM Embeddings in Industrial Recommender Systems.
AAAI
Yabo Ni, Yuanpeng Cao, Wenhang Zhou, Bangyang Hong, Zhongyi Zhang, Enlei Cai, Kangle Wu, Anxiang Zeng, Han Yu, Xiaoxiao Li
2025 J jnl
A 12-bit 2-GS/s Pipeline ADC in 28-nm CMOS With Linear-Error Self-Calibration.
IEEE Trans. Very Large Scale Integr. Syst.
Yabo Ni, Lu Liu, Yong Zhang, Tao Zhu
2025 J jnl
A Neural Network-Enhanced Digital Background Calibration Algorithm for Residue Amplifier Nonlinearity in Pipelined ADCs.
IEEE Trans. Circuits Syst. II Express Briefs
Yutao Peng, Ziwei Lai, Hu Wang, Jun Zhang, Dongbing Fu, Yabo Ni, Tao Liu, Zhifei Lu, Xizhu Peng, He Tang
2025 J jnl
A Probabilistic Framework for Temporal Distribution Generalization in Industry-Scale Recommender Systems.
CoRR
Yuxuan Zhu, Cong Fu, Yabo Ni, Anxiang Zeng, Yuan Fang
2025 J jnl
Dynamic masking-based feature interaction modeling for e-commerce click-through rate prediction.
Eng. Appl. Artif. Intell.
Yabo Ni, Yueqiu Wu, Jingyi Li, Anxiang Zeng, Han Yu, Xiaoxiao Li
2025 — conf
Embed Progressive Implicit Preference in Unified Space for Deep Collaborative Filtering.
KDD (2)
Zhongjin Zhang, Yu Liang, Cong Fu, Yuxuan Zhu, Kun Wang, Yabo Ni, Anxiang Zeng, Jiazhi Xia
2025 J jnl
Embed Progressive Implicit Preference in Unified Space for Deep Collaborative Filtering.
CoRR
Zhongjin Zhang, Yu Liang, Cong Fu, Yuxuan Zhu, Kun Wang, Yabo Ni, Anxiang Zeng, Jiazhi Xia
2025 J jnl
Kolmogorov-Arnold Networks-Based Calibration for Single-Channel ADCs: High-Precision Nonlinear Code Synthesis With Low Power Consumption.
IEEE Trans. Circuits Syst. I Regul. Pap.
Yutao Peng, Xizhu Peng, Hu Wang, Dongbing Fu, Yabo Ni, Can Zhu, Boyuan Zhang, Lei Chen, Zhe Hu, Zhifei Lu, He Tang, Mingqiang Guo
2025 J jnl
Learning Personalizable Clustered Embedding for Recommender Systems.
Trans. Recomm. Syst.
Yizhou Chen, Guangda Huzhang, Anxiang Zeng, Qingtao Yu, Hui Sun, Heng-Yi Li, Jingyi Li, Yabo Ni, Han Yu, Zhiming Zhou
2025 J jnl
Maximum Inner Product is Query-Scaled Nearest Neighbor.
CoRR
Tingyang Chen, Cong Fu, Kun Wang, Xiangyu Ke, Yunjun Gao, Wenchao Zhou, Yabo Ni, Anxiang Zeng
2025 J jnl
Maximum Inner Product is Query-Scaled Nearest Neighbor.
Proc. VLDB Endow.
Tingyang Chen, Cong Fu, Kun Wang, Xiangyu Ke, Yunjun Gao, Wenchao Zhou, Yabo Ni, Anxiang Zeng
2025 J jnl
OnePiece: Bringing Context Engineering and Reasoning to Industrial Cascade Ranking System.
CoRR
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
2025 J jnl
Reveal Hidden Pitfalls and Navigate Next Generation of Vector Similarity Search from Task-Centric Views.
CoRR
Tingyang Chen, Cong Fu, Jiahua Wu, Haotian Wu, Hua Fan, Xiangyu Ke, Yunjun Gao, Yabo Ni, Anxiang Zeng
2025 A* conf
Stitching Inner Product and Euclidean Metrics for Topology-aware Maximum Inner Product Search.
SIGIR
Tingyang Chen, Cong Fu, Xiangyu Ke, Yunjun Gao, Yabo Ni, Anxiang Zeng
2025 J jnl
Stitching Inner Product and Euclidean Metrics for Topology-aware Maximum Inner Product Search.
CoRR
Tingyang Chen, Cong Fu, Xiangyu Ke, Yunjun Gao, Yabo Ni, Anxiang Zeng
2024 A* conf
An E-Commerce Dataset Revealing Variations during Sales.
SIGIR
Jianfu Zhang, Qingtao Yu, Yizhou Chen, Guoliang Zhou, Yawen Liu, Yawei Sun, Chen Liang, Guangda Huzhang, Yabo Ni, Anxiang Zeng, Han Yu
2024 A* conf
Residual Multi-Task Learner for Applied Ranking.
KDD
Cong Fu, Kun Wang, Jiahua Wu, Yizhou Chen, Guangda Huzhang, Yabo Ni, Anxiang Zeng, Zhiming Zhou
2024 J jnl
Residual Multi-Task Learner for Applied Ranking.
CoRR
Cong Fu, Kun Wang, Jiahua Wu, Yizhou Chen, Guangda Huzhang, Yabo Ni, Anxiang Zeng, Zhiming Zhou
2023 A* conf
Clustered Embedding Learning for Recommender Systems.
WWW
Yizhou Chen, Guangda Huzhang, Anxiang Zeng, Qingtao Yu, Hui Sun, Heng-Yi Li, Jingyi Li, Yabo Ni, Han Yu, Zhiming Zhou
2023 J jnl
Clustered Embedding Learning for Recommender Systems.
CoRR
Yizhou Chen, Guangda Huzhang, Anxiang Zeng, Qingtao Yu, Hui Sun, Heng-Yi Li, Jingyi Li, Yabo Ni, Han Yu, Zhiming Zhou
2022 A* conf
Prior-Guided Transfer Learning for Enhancing Item Representation in E-commerce.
AAAI
Heng-Yi Li, Yabo Ni, Anxiang Zeng, Han Yu, Chunyan Miao
2021 A* conf
Enhancing E-commerce Recommender System Adaptability with Online Deep Controllable Learning-To-Rank.
AAAI
Anxiang Zeng, Han Yu, Hua-Lin He, Yabo Ni, Yongliang Li, Jingren Zhou, Chunyan Miao
2020 — conf
Scenario-aware and Mutual-based approach for Multi-scenario Recommendation in E-Commerce.
ICDM (Workshops)
Yuting Chen, Yanshi Wang, Yabo Ni, Anxiang Zeng, Lanfen Lin
2020 J jnl
Scenario-aware and Mutual-based approach for Multi-scenario Recommendation in E-Commerce.
CoRR
Yuting Chen, Yanshi Wang, Yabo Ni, Anxiang Zeng, Lanfen Lin
2018 A* conf
Perceive Your Users in Depth: Learning Universal User Representations from Multiple E-commerce Tasks.
KDD
Yabo Ni, Dan Ou, Shichen Liu, Xiang Li, Wenwu Ou, Anxiang Zeng, Luo Si
2018 J jnl
Perceive Your Users in Depth: Learning Universal User Representations from Multiple E-commerce Tasks.
CoRR
Yabo Ni, Dan Ou, Shichen Liu, Xiang Li, Wenwu Ou, Anxiang Zeng, Luo Si
2013 A conf
Personalized automatic image annotation based on reinforcement learning.
ICME
Yabo Ni, Miao Zheng, Jiajun Bu, Chun Chen, Dazhou Wang