Sliding-Mode-Based Trajectory Tracking and Load Sway Suppression Control for Double-Pendulum Overhead Cranes. - Huimin Ouyang; Jinxin Hu; Guangming Zhang; Lei Mei; Xin Deng (IEEE Access, 2019)

Identification and Compensation of Dynamic Interaction in a Non-Contact Dual-Stage Actuator System. - Shaokai Wang; Jinxin Hu; Changqi Li; Jiubin Tan (Sensors, 2019)

Scenario-Adaptive and Self-Supervised Model for Multi-Scenario Personalized Recommendation. - Yuanliang Zhang; Xiaofeng Wang; Jinxin Hu; Ke Gao; Chenyi Lei; Fei Fang 002 (CIKM, 2022)

SASNet: Stage-aware Sequential Matching for Online Travel Recommendation. - Fanwei Zhu; Zulong Chen; Fan Zhang; Jiazhen Lou; Hong Wen 002; Shui Liu; Qi Rao; Tengfei Yuan; Shenghua Ni; Jinxin Hu; Fuzhen Sun; Quan Lu (CIKM, 2022)

Scenario-Adaptive Fine-Grained Personalization Network: Tailoring User Behavior Representation to the Scenario Context. - Moyu Zhang; Yongxiang Tang; Jinxin Hu; Yu Zhang (SIGIR, 2024)

Research on Early Warning Model of Cardiovascular Disease Based on Computer Deep Learning. - Yuxiang Hu; Jinxin Hu; Ting Xu; Bo Zhang; Jiajie Yuan; Haozhang Deng (CoRR, 2024)

Research on Feature Extraction Data Processing System For MRI of Brain Diseases Based on Computer Deep Learning. - Lingxi Xiao; Jinxin Hu; Yutian Yang; Yinqiu Feng; Zichao Li; Zexi Chen (CoRR, 2024)

Integrative Analysis of Financial Market Sentiment Using CNN and GRU for Risk Prediction and Alert Systems. - You Wu; Mengfang Sun; Hongye Zheng; Jinxin Hu; Yingbin Liang; Zhenghao Lin (CoRR, 2024)

Robot Learning Method for Human-like Arm Skills Based on the Hybrid Primitive Framework. - Jiaxin Li; Hasiaoqier Han; Jinxin Hu; Junwei Lin; Peiyi Li 006 (Sensors, 2024)

HeterRec: Heterogeneous Information Transformer for Scalable Sequential Recommendation. - Hao Deng; Haibo Xing; Kanefumi Matsuyama; Yulei Huang; Jinxin Hu; Hong Wen 002; Jia Xu 005; Zulong Chen; Yu Zhang 206; Xiaoyi Zeng; Jing Zhang 037 (SIGIR, 2025)

CSMF: Cascaded Selective Mask Fine-Tuning for Multi-Objective Embedding-Based Retrieval. - Hao Deng; Haibo Xing; Kanefumi Matsuyama; Moyu Zhang; Jinxin Hu; Hong Wen 002; Yu Zhang 206; Xiaoyi Zeng; Jing Zhang 037 (SIGIR, 2025)

LREA: Low-Rank Efficient Attention on Modeling Long-Term User Behaviors for CTR Prediction. - Xin Song; Xiaochen Li; Jinxin Hu; Hong Wen 002; Zulong Chen; Yu Zhang 206; Xiaoyi Zeng; Jing Zhang 037 (SIGIR, 2025)

ESANS: Effective and Semantic-Aware Negative Sampling for Large-Scale Retrieval Systems. - Haibo Xing; Kanefumi Matsuyama; Hao Deng; Jinxin Hu; Yu Zhang 206; Xiaoyi Zeng (WWW, 2025)

ESANS: Effective and Semantic-Aware Negative Sampling for Large-Scale Retrieval Systems. - Haibo Xing; Kanefumi Matsuyama; Hao Deng; Jinxin Hu; Yu Zhang; Xiaoyi Zeng (CoRR, 2025)

Hierarchical Causal Transformer with Heterogeneous Information for Expandable Sequential Recommendation. - Hao Deng; Haibo Xing; Kanefumi Matsuyama; Yulei Huang; Jinxin Hu; Hong Wen; Jia Xu; Zulong Chen; Yu Zhang; Xiaoyi Zeng; Jing Zhang (CoRR, 2025)

Efficient Long Sequential Low-rank Adaptive Attention for Click-through rate Prediction. - Xin Song; Xiaochen Li; Jinxin Hu; Hong Wen; Zulong Chen; Yu Zhang; Xiaoyi Zeng; Jing Zhang (CoRR, 2025)

Addressing Information Loss and Interaction Collapse: A Dual Enhanced Attention Framework for Feature Interaction. - Yi Xu; Zhiyuan Lu; Xiaochen Li; Jinxin Hu; Hong Wen; Zulong Chen; Yu Zhang; Jing Zhang (CoRR, 2025)

CSMF: Cascaded Selective Mask Fine-Tuning for Multi-Objective Embedding-Based Retrieval. - Hao Deng; Haibo Xing; Kanefumi Matsuyama; Moyu Zhang; Jinxin Hu; Hong Wen; Yu Zhang; Xiaoyi Zeng; Jing Zhang (CoRR, 2025)

Distribution-Guided Auto-Encoder for User Multimodal Interest Cross Fusion. - Moyu Zhang; Yongxiang Tang; Yujun Jin; Jinxin Hu; Yu Zhang (CoRR, 2025)

Global-Distribution Aware Scenario-Specific Variational Representation Learning Framework. - Moyu Zhang; Yujun Jin; Jinxin Hu; Yu Zhang (CoRR, 2025)

DGenCTR: Towards a Universal Generative Paradigm for Click-Through Rate Prediction via Discrete Diffusion. - Moyu Zhang; Yun Chen; Yujun Jin; Jinxin Hu; Yu Zhang (CoRR, 2025)

MMQ: Multimodal Mixture-of-Quantization Tokenization for Semantic ID Generation and User Behavioral Adaptation. - Yi Xu; Moyu Zhang; Chenxuan Li; Zhihao Liao; Haibo Xing; Hao Deng; Jinxin Hu; Yu Zhang; Xiaoyi Zeng; Jing Zhang (CoRR, 2025)

REG4Rec: Reasoning-Enhanced Generative Model for Large-Scale Recommendation Systems. - Haibo Xing; Hao Deng; Yucheng Mao; Jinxin Hu; Yi Xu; Hao Zhang; Jiahao Wang; Shizhun Wang; Yu Zhang; Xiaoyi Zeng; Jing Zhang (CoRR, 2025)