Jinxin Hu

42 papers A* 6A 5Journal 31
YearRankTypeTitle / Venue / Authors
2026 J jnl
AgenticRS-Architecture: System Design for Agentic Recommender Systems.
CoRR
Hao Zhang, Jinxin Hu, Hao Deng, Lingyu Mu, Shizhun Wang, Yu Zhang, Xiaoyi Zeng
2026 J jnl
AgenticRS-EnsNAS: Ensemble-Decoupled Self-Evolving Architecture Search.
CoRR
Yun Chen, Moyu Zhang, Jinxin Hu, Yu Zhang, Xiaoyi Zeng
2026 J jnl
Bridging Sequential and Contextual Features with a Dual-View of Fine-grained Core-Behaviors and Global Interest-Distribution.
CoRR
Yi Xu, Chaofan Fan, Moyu Zhang, Jinxin Hu, Jiahao Wang, Hao Zhang, Shizhun Wang, Yu Zhang, Xiaoyi Zeng
2026 J jnl
Deferred is Better: A Framework for Multi-Granularity Deferred Interaction of Heterogeneous Features.
CoRR
Yi Xu, Moyu Zhang, Chaofan Fan, Jinxin Hu, Yu Zhang, Xiaoyi Zeng
2026 A* conf
Infer As You Train: A Symmetric Paradigm of Masked Generative for Click-Through Rate Prediction.
WWW
Moyu Zhang, Yujun Jin, Yun Chen, Jinxin Hu, Yu Zhang, Xiaoyi Zeng
2026 J jnl
Learning to Reflect and Correct: Towards Better Decoding Trajectories for Large-Scale Generative Recommendation.
CoRR
Haibo Xing, Hao Deng, Lingyu Mu, Jinxin Hu, Yu Zhang, Xiaoyi Zeng, Jing Zhang
2026 A conf
MMQ: Multimodal Mixture-of-Quantization Tokenization for Semantic ID Generation and User Behavioral Adaptation.
WSDM
Yi Xu, Moyu Zhang, Chenxuan Li, Zhihao Liao, Haibo Xing, Hao Deng, Jinxin Hu, Yu Zhang, Xiaoyi Zeng, Jing Zhang
2026 J jnl
Masked Diffusion Generative Recommendation.
CoRR
Lingyu Mu, Hao Deng, Haibo Xing, Jinxin Hu, Yu Zhang, Xiaoyi Zeng, Jing Zhang
2026 J jnl
RCLRec: Reverse Curriculum Learning for Modeling Sparse Conversions in Generative Recommendation.
CoRR
Yulei Huang, Hao Deng, Haibo Xing, Jinxin Hu, Chuanfei Xu, Zulong Chen, Yu Zhang, Xiaoyi Zeng
2026 J jnl
Rethinking Recommendation Paradigms: From Pipelines to Agentic Recommender Systems.
CoRR
Jinxin Hu, Hao Deng, Lingyu Mu, Hao Zhang, Shizhun Wang, Yu Zhang, Xiaoyi Zeng
2025 J jnl
Addressing Information Loss and Interaction Collapse: A Dual Enhanced Attention Framework for Feature Interaction.
CoRR
Yi Xu, Zhiyuan Lu, Xiaochen Li, Jinxin Hu, Hong Wen, Zulong Chen, Yu Zhang, Jing Zhang
2025 A* conf
CSMF: Cascaded Selective Mask Fine-Tuning for Multi-Objective Embedding-Based Retrieval.
SIGIR
Hao Deng, Haibo Xing, Kanefumi Matsuyama, Moyu Zhang, Jinxin Hu, Hong Wen, Yu Zhang, Xiaoyi Zeng, Jing Zhang
2025 J jnl
CSMF: Cascaded Selective Mask Fine-Tuning for Multi-Objective Embedding-Based Retrieval.
CoRR
Hao Deng, Haibo Xing, Kanefumi Matsuyama, Moyu Zhang, Jinxin Hu, Hong Wen, Yu Zhang, Xiaoyi Zeng, Jing Zhang
2025 J jnl
DGenCTR: Towards a Universal Generative Paradigm for Click-Through Rate Prediction via Discrete Diffusion.
CoRR
Moyu Zhang, Yun Chen, Yujun Jin, Jinxin Hu, Yu Zhang
2025 A conf
Distribution-Guided Auto-Encoder for User Multimodal Interest Cross Fusion.
CIKM
Moyu Zhang, Yongxiang Tang, Yujun Jin, Jinxin Hu, Yu Zhang
2025 J jnl
Distribution-Guided Auto-Encoder for User Multimodal Interest Cross Fusion.
CoRR
Moyu Zhang, Yongxiang Tang, Yujun Jin, Jinxin Hu, Yu Zhang
2025 A* conf
ESANS: Effective and Semantic-Aware Negative Sampling for Large-Scale Retrieval Systems.
WWW
Haibo Xing, Kanefumi Matsuyama, Hao Deng, Jinxin Hu, Yu Zhang, Xiaoyi Zeng
2025 J jnl
ESANS: Effective and Semantic-Aware Negative Sampling for Large-Scale Retrieval Systems.
CoRR
Haibo Xing, Kanefumi Matsuyama, Hao Deng, Jinxin Hu, Yu Zhang, Xiaoyi Zeng
2025 J jnl
Efficient Long Sequential Low-rank Adaptive Attention for Click-through rate Prediction.
CoRR
Xin Song, Xiaochen Li, Jinxin Hu, Hong Wen, Zulong Chen, Yu Zhang, Xiaoyi Zeng, Jing Zhang
2025 A conf
Global-Distribution Aware Scenario-Specific Variational Representation Learning Framework.
CIKM
Moyu Zhang, Yujun Jin, Jinxin Hu, Yu Zhang
2025 J jnl
Global-Distribution Aware Scenario-Specific Variational Representation Learning Framework.
CoRR
Moyu Zhang, Yujun Jin, Jinxin Hu, Yu Zhang
2025 A* conf
HeterRec: Heterogeneous Information Transformer for Scalable Sequential Recommendation.
SIGIR
Hao Deng, Haibo Xing, Kanefumi Matsuyama, Yulei Huang, Jinxin Hu, Hong Wen, Jia Xu, Zulong Chen, Yu Zhang, Xiaoyi Zeng, Jing Zhang
2025 J jnl
Hierarchical Causal Transformer with Heterogeneous Information for Expandable Sequential Recommendation.
CoRR
Hao Deng, Haibo Xing, Kanefumi Matsuyama, Yulei Huang, Jinxin Hu, Hong Wen, Jia Xu, Zulong Chen, Yu Zhang, Xiaoyi Zeng, Jing Zhang
2025 J jnl
Infer As You Train: A Symmetric Paradigm of Masked Generative for Click-Through Rate Prediction.
CoRR
Moyu Zhang, Yujun Jin, Yun Chen, Jinxin Hu, Yu Zhang, Xiaoyi Zeng
2025 A* conf
LREA: Low-Rank Efficient Attention on Modeling Long-Term User Behaviors for CTR Prediction.
SIGIR
Xin Song, Xiaochen Li, Jinxin Hu, Hong Wen, Zulong Chen, Yu Zhang, Xiaoyi Zeng, Jing Zhang
2025 J jnl
MATT-CTR: Unleashing a Model-Agnostic Test-Time Paradigm for CTR Prediction with Confidence-Guided Inference Paths.
CoRR
Moyu Zhang, Yun Chen, Yujun Jin, Jinxin Hu, Yu Zhang, Xiaoyi Zeng
2025 J jnl
MMQ-v2: Align, Denoise, and Amplify: Adaptive Behavior Mining for Semantic IDs Learning in Recommendation.
CoRR
Yi Xu, Moyu Zhang, Chaofan Fan, Jinxin Hu, Xiaochen Li, Yu Zhang, Xiaoyi Zeng, Jing Zhang
2025 J jnl
MMQ: Multimodal Mixture-of-Quantization Tokenization for Semantic ID Generation and User Behavioral Adaptation.
CoRR
Yi Xu, Moyu Zhang, Chenxuan Li, Zhihao Liao, Haibo Xing, Hao Deng, Jinxin Hu, Yu Zhang, Xiaoyi Zeng, Jing Zhang
2025 J jnl
REG4Rec: Reasoning-Enhanced Generative Model for Large-Scale Recommendation Systems.
CoRR
Haibo Xing, Hao Deng, Yucheng Mao, Jinxin Hu, Yi Xu, Hao Zhang, Jiahao Wang, Shizhun Wang, Yu Zhang, Xiaoyi Zeng, Jing Zhang
2025 J jnl
STORE: Semantic Tokenization, Orthogonal Rotation and Efficient Attention for Scaling Up Ranking Models.
CoRR
Yi Xu, Chaofan Fan, Jinxin Hu, Yu Zhang, Xiaoyi Zeng, Jing Zhang
2025 J jnl
Synergistic Integration and Discrepancy Resolution of Contextualized Knowledge for Personalized Recommendation.
CoRR
Lingyu Mu, Hao Deng, Haibo Xing, Kaican Lin, Zhitong Zhu, Yu Zhang, Xiaoyi Zeng, Zhengxiao Liu, Zheng Lin, Jinxin Hu
2024 J jnl
Integrative Analysis of Financial Market Sentiment Using CNN and GRU for Risk Prediction and Alert Systems.
CoRR
You Wu, Mengfang Sun, Hongye Zheng, Jinxin Hu, Yingbin Liang, Zhenghao Lin
2024 J jnl
Research on Early Warning Model of Cardiovascular Disease Based on Computer Deep Learning.
CoRR
Yuxiang Hu, Jinxin Hu, Ting Xu, Bo Zhang, Jiajie Yuan, Haozhang Deng
2024 J jnl
Research on Feature Extraction Data Processing System For MRI of Brain Diseases Based on Computer Deep Learning.
CoRR
Lingxi Xiao, Jinxin Hu, Yutian Yang, Yinqiu Feng, Zichao Li, Zexi Chen
2024 J jnl
Robot Learning Method for Human-like Arm Skills Based on the Hybrid Primitive Framework.
Sensors
Jiaxin Li, Hasiaoqier Han, Jinxin Hu, Junwei Lin, Peiyi Li
2024 A* conf
Scenario-Adaptive Fine-Grained Personalization Network: Tailoring User Behavior Representation to the Scenario Context.
SIGIR
Moyu Zhang, Yongxiang Tang, Jinxin Hu, Yu Zhang
2024 J jnl
Scenario-Adaptive Fine-Grained Personalization Network: Tailoring User Behavior Representation to the Scenario Context.
CoRR
Moyu Zhang, Yongxiang Tang, Jinxin Hu, Yu Zhang
2022 A conf
SASNet: Stage-aware Sequential Matching for Online Travel Recommendation.
CIKM
Fanwei Zhu, Zulong Chen, Fan Zhang, Jiazhen Lou, Hong Wen, Shui Liu, Qi Rao, Tengfei Yuan, Shenghua Ni, Jinxin Hu, Fuzhen Sun, Quan Lu
2022 A conf
Scenario-Adaptive and Self-Supervised Model for Multi-Scenario Personalized Recommendation.
CIKM
Yuanliang Zhang, Xiaofeng Wang, Jinxin Hu, Ke Gao, Chenyi Lei, Fei Fang
2022 J jnl
Scenario-Adaptive and Self-Supervised Model for Multi-Scenario Personalized Recommendation.
CoRR
Yuanliang Zhang, Xiaofeng Wang, Jinxin Hu, Ke Gao, Chenyi Lei, Fei Fang
2019 J jnl
Identification and Compensation of Dynamic Interaction in a Non-Contact Dual-Stage Actuator System.
Sensors
Shaokai Wang, Jinxin Hu, Changqi Li, Jiubin Tan
2019 J jnl
Sliding-Mode-Based Trajectory Tracking and Load Sway Suppression Control for Double-Pendulum Overhead Cranes.
IEEE Access
Huimin Ouyang, Jinxin Hu, Guangming Zhang, Lei Mei, Xin Deng