Jinxin Hu
Orcid: 0000-0002-7252-5207
According to our database1,
Jinxin Hu authored at least 40 papers
between 2019 and 2026.
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Bibliography
2026
Selective Test-Time Compute Scaling for Click-Through Rate Prediction via Uncertainty-Triggered Feature Path Exploration.
CoRR, May, 2026
Self-Balancing Gradient Allocation for Heterogeneity-Aware Feature Generation in Click-Through Rate Prediction.
CoRR, May, 2026
LWGR: Lagrangian-Constrained Personalized World Knowledge for Generative Recommendation.
CoRR, May, 2026
DocScope: Benchmarking Verifiable Reasoning for Trustworthy Long-Document Understanding.
CoRR, May, 2026
Counterfactual Multi-task Learning for Delayed Conversion Modeling in E-commerce Sales Pre-Promotion.
CoRR, April, 2026
RCLRec: Reverse Curriculum Learning for Modeling Sparse Conversions in Generative Recommendation.
CoRR, March, 2026
CoRR, March, 2026
CoRR, March, 2026
CoRR, March, 2026
Deferred is Better: A Framework for Multi-Granularity Deferred Interaction of Heterogeneous Features.
CoRR, March, 2026
Bridging Sequential and Contextual Features with a Dual-View of Fine-grained Core-Behaviors and Global Interest-Distribution.
CoRR, March, 2026
Learning to Reflect and Correct: Towards Better Decoding Trajectories for Large-Scale Generative Recommendation.
CoRR, February, 2026
Infer As You Train: A Symmetric Paradigm of Masked Generative for Click-Through Rate Prediction.
Proceedings of the ACM Web Conference 2026, 2026
MMQ: Multimodal Mixture-of-Quantization Tokenization for Semantic ID Generation and User Behavioral Adaptation.
Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining, 2026
2025
STORE: Semantic Tokenization, Orthogonal Rotation and Efficient Attention for Scaling Up Ranking Models.
CoRR, November, 2025
MMQ-v2: Align, Denoise, and Amplify: Adaptive Behavior Mining for Semantic IDs Learning in Recommendation.
CoRR, October, 2025
Synergistic Integration and Discrepancy Resolution of Contextualized Knowledge for Personalized Recommendation.
CoRR, October, 2025
MATT-CTR: Unleashing a Model-Agnostic Test-Time Paradigm for CTR Prediction with Confidence-Guided Inference Paths.
CoRR, October, 2025
CoRR, August, 2025
DGenCTR: Towards a Universal Generative Paradigm for Click-Through Rate Prediction via Discrete Diffusion.
CoRR, August, 2025
Addressing Information Loss and Interaction Collapse: A Dual Enhanced Attention Framework for Feature Interaction.
CoRR, March, 2025
Efficient Long Sequential Low-rank Adaptive Attention for Click-through rate Prediction.
CoRR, March, 2025
Hierarchical Causal Transformer with Heterogeneous Information for Expandable Sequential Recommendation.
CoRR, March, 2025
ESANS: Effective and Semantic-Aware Negative Sampling for Large-Scale Retrieval Systems.
CoRR, February, 2025
ESANS: Effective and Semantic-Aware Negative Sampling for Large-Scale Retrieval Systems.
Proceedings of the ACM on Web Conference 2025, 2025
LREA: Low-Rank Efficient Attention on Modeling Long-Term User Behaviors for CTR Prediction.
Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025
CSMF: Cascaded Selective Mask Fine-Tuning for Multi-Objective Embedding-Based Retrieval.
Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025
HeterRec: Heterogeneous Information Transformer for Scalable Sequential Recommendation.
Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025
Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025
Global-Distribution Aware Scenario-Specific Variational Representation Learning Framework.
Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025
2024
Robot Learning Method for Human-like Arm Skills Based on the Hybrid Primitive Framework.
Sensors, June, 2024
Integrative Analysis of Financial Market Sentiment Using CNN and GRU for Risk Prediction and Alert Systems.
CoRR, 2024
Research on Feature Extraction Data Processing System For MRI of Brain Diseases Based on Computer Deep Learning.
CoRR, 2024
Research on Early Warning Model of Cardiovascular Disease Based on Computer Deep Learning.
CoRR, 2024
Scenario-Adaptive Fine-Grained Personalization Network: Tailoring User Behavior Representation to the Scenario Context.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024
2022
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
Scenario-Adaptive and Self-Supervised Model for Multi-Scenario Personalized Recommendation.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
2019
Identification and Compensation of Dynamic Interaction in a Non-Contact Dual-Stage Actuator System.
Sensors, 2019
Sliding-Mode-Based Trajectory Tracking and Load Sway Suppression Control for Double-Pendulum Overhead Cranes.
IEEE Access, 2019