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We stand with Ukraine

Xiaoyi Zeng

Orcid: 0009-0007-3681-7345

According to our database¹, Xiaoyi Zeng authored at least 72 papers between 2019 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Links

On csauthors.net:

Bibliography

2026

Selective Test-Time Compute Scaling for Click-Through Rate Prediction via Uncertainty-Triggered Feature Path Exploration.

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CoRR, May, 2026

Self-Balancing Gradient Allocation for Heterogeneity-Aware Feature Generation in Click-Through Rate Prediction.

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CoRR, May, 2026

LWGR: Lagrangian-Constrained Personalized World Knowledge for Generative Recommendation.

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CoRR, May, 2026

Beyond Dense Connectivity: Explicit Sparsity for Scalable Recommendation.

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CoRR, April, 2026

RCLRec: Reverse Curriculum Learning for Modeling Sparse Conversions in Generative Recommendation.

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CoRR, March, 2026

Rethinking Recommendation Paradigms: From Pipelines to Agentic Recommender Systems.

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CoRR, March, 2026

AgenticRS-Architecture: System Design for Agentic Recommender Systems.

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CoRR, March, 2026

Quality Over Clicks: Intrinsic Quality-Driven Iterative Reinforcement Learning for Cold-Start E-Commerce Query Suggestion.

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CoRR, March, 2026

GateSID: Adaptive Gating for Semantic-Collaborative Alignment in Cold-Start Recommendation.

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CoRR, March, 2026

AgenticRS-EnsNAS: Ensemble-Decoupled Self-Evolving Architecture Search.

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CoRR, March, 2026

Shopping Companion: A Memory-Augmented LLM Agent for Real-World E-Commerce Tasks.

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CoRR, March, 2026

Deferred is Better: A Framework for Multi-Granularity Deferred Interaction of Heterogeneous Features.

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CoRR, March, 2026

Bridging Sequential and Contextual Features with a Dual-View of Fine-grained Core-Behaviors and Global Interest-Distribution.

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CoRR, March, 2026

Differentiable Geometric Indexing for End-to-End Generative Retrieval.

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CoRR, March, 2026

SORT: A Systematically Optimized Ranking Transformer for Industrial-scale Recommenders.

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CoRR, March, 2026

ProductResearch: Training E-Commerce Deep Research Agents via Multi-Agent Synthetic Trajectory Distillation.

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CoRR, February, 2026

Learning to Reflect and Correct: Towards Better Decoding Trajectories for Large-Scale Generative Recommendation.

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CoRR, February, 2026

SIGMA: A Semantic-Grounded Instruction-Driven Generative Multi-Task Recommender at AliExpress.

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CoRR, February, 2026

Constraint-Aware Generative Auto-bidding via Pareto-Prioritized Regret Optimization.

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CoRR, February, 2026

Thinking Broad, Acting Fast: Latent Reasoning Distillation from Multi-Perspective Chain-of-Thought for E-Commerce Relevance.

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CoRR, January, 2026

Masked Diffusion Generative Recommendation.

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CoRR, January, 2026

Infer As You Train: A Symmetric Paradigm of Masked Generative for Click-Through Rate Prediction.

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Proceedings of the ACM Web Conference 2026, 2026

<i>Thinking Broad, Acting Fast: </i> Latent Reasoning Distillation from Multi-Perspective Chain-of-Thought for E-Commerce Relevance.

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Proceedings of the ACM Web Conference 2026, 2026

MMQ: Multimodal Mixture-of-Quantization Tokenization for Semantic ID Generation and User Behavioral Adaptation.

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Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining, 2026

ShoppingBench: A Real-World Intent-Grounded Shopping Benchmark for LLM-based Agents.

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Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

STORE: Semantic Tokenization, Orthogonal Rotation and Efficient Attention for Scaling Up Ranking Models.

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CoRR, November, 2025

MMQ-v2: Align, Denoise, and Amplify: Adaptive Behavior Mining for Semantic IDs Learning in Recommendation.

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CoRR, October, 2025

Synergistic Integration and Discrepancy Resolution of Contextualized Knowledge for Personalized Recommendation.

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CoRR, October, 2025

MATT-CTR: Unleashing a Model-Agnostic Test-Time Paradigm for CTR Prediction with Confidence-Guided Inference Paths.

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CoRR, October, 2025

REG4Rec: Reasoning-Enhanced Generative Model for Large-Scale Recommendation Systems.

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CoRR, August, 2025

COURIER: contrastive user intention reconstruction for large-scale visual recommendation.

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Frontiers Comput. Sci., July, 2025

Scaling Transformers for Discriminative Recommendation via Generative Pretraining.

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CoRR, June, 2025

Efficient Long Sequential Low-rank Adaptive Attention for Click-through rate Prediction.

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CoRR, March, 2025

Hierarchical Causal Transformer with Heterogeneous Information for Expandable Sequential Recommendation.

[DOI]

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Kanefumi Matsuyama

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CoRR, March, 2025

ESANS: Effective and Semantic-Aware Negative Sampling for Large-Scale Retrieval Systems.

[DOI]

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Kanefumi Matsuyama

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CoRR, February, 2025

ESANS: Effective and Semantic-Aware Negative Sampling for Large-Scale Retrieval Systems.

[DOI]

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Kanefumi Matsuyama

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Proceedings of the ACM on Web Conference 2025, 2025

LREA: Low-Rank Efficient Attention on Modeling Long-Term User Behaviors for CTR Prediction.

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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.

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Kanefumi Matsuyama

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Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

HeterRec: Heterogeneous Information Transformer for Scalable Sequential Recommendation.

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Kanefumi Matsuyama

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Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

Scaling Transformers for Discriminative Recommendation via Generative Pretraining.

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Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

Resource Trading for Vehicular Edge Computing Networks: A Trust-Based Double Auction Approach.

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Proceedings of the 34th International Conference on Computer Communications and Networks, 2025

Towards Unbiased Information Extraction and Adaptation in Cross-Domain Recommendation.

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Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

Oblique-MERF: Revisiting and Improving MERF for Oblique Photography.

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Proceedings of the International Conference on 3D Vision, 2025

2024

Large Language Model based Long-tail Query Rewriting in Taobao Search.

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Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Enhancing Cross-Domain Click-Through Rate Prediction via Explicit Feature Augmentation.

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Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Deformable NeRF using Recursively Subdivided Tetrahedra.

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Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

City-on-Web: Real-Time Neural Rendering of Large-Scale Scenes on the Web.

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Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Graph Contrastive Learning with Multi-Objective for Personalized Product Retrieval in Taobao Search.

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CoRR, 2023

COURIER: Contrastive User Intention Reconstruction for Large-Scale Pre-Train of Image Features.

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CoRR, 2023

Rethinking the Role of Pre-ranking in Large-scale E-Commerce Searching System.

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CoRR, 2023

Mixer: Image to Multi-Modal Retrieval Learning for Industrial Application.

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CoRR, 2023

Cross-domain Augmentation Networks for Click-Through Rate Prediction.

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CoRR, 2023

MAKE: Product Retrieval with Vision-Language Pre-training in Taobao Search.

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CoRR, 2023

MAKE: Vision-Language Pre-training based Product Retrieval in Taobao Search.

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Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

Multimodal Pre-Training with Self-Distillation for Product Understanding in E-Commerce.

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Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Delving into E-Commerce Product Retrieval with Vision-Language Pre-training.

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Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

MSRA: A Multi-Aspect Semantic Relevance Approach for E-Commerce via Multimodal Pre-Training.

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Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

Multi-Objective Personalized Product Retrieval in Taobao Search.

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CoRR, 2022

IHGNN: Interactive Hypergraph Neural Network for Personalized Product Search.

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Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Joint Learning of E-commerce Search and Recommendation with a Unified Graph Neural Network.

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Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Modeling Users' Contextualized Page-wise Feedback for Click-Through Rate Prediction in E-commerce Search.

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Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

ReprBERT: Distilling BERT to an Efficient Representation-Based Relevance Model for E-Commerce.

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Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Intelligent Request Strategy Design in Recommender System.

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Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Query Rewriting in TaoBao Search.

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Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

Embedding-based Product Retrieval in Taobao Search.

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Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Self-Supervised Learning on Users' Spontaneous Behaviors for Multi-Scenario Ranking in E-commerce.

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Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Capturing Delayed Feedback in Conversion Rate Prediction via Elapsed-Time Sampling.

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Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Adversarial Multimodal Representation Learning for Click-Through Rate Prediction.

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Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Neuron-level Structured Pruning using Polarization Regularizer.

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Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Deep Time-Aware Item Evolution Network for Click-Through Rate Prediction.

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Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019

A Minimax Game for Instance based Selective Transfer Learning.

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Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Cross-domain Attention Network with Wasserstein Regularizers for E-commerce Search.

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Forrest Sheng Bao

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

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