Yu Zhang

27 papers A* 6A 4Journal 17
YearRankTypeTitle / Venue / Authors
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
Bionic soft robotic glove with EMG-based gesture and grip strength synchronized prediction for grasping assistance.
Biomed. Signal Process. Control.
Jing Zhang, Aibin Zhu, Bingsheng Bao, Meng Li, Yu Zhang, Jing Wang, Xinyu Wu, Chunli Zheng, Xiao Li
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
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 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
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
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
CROLoss: Towards a Customizable Loss for Retrieval Models in Recommender Systems.
CIKM
Yongxiang Tang, Wentao Bai, Guilin Li, Xialong Liu, Yu Zhang
2022 J jnl
CROLoss: Towards a Customizable Loss for Retrieval Models in Recommender Systems.
CoRR
Yongxiang Tang, Wentao Bai, Guilin Li, Xialong Liu, Yu Zhang