Guorui Zhou

Orcid: 0009-0002-8550-279X

According to our database1, Guorui Zhou authored at least 117 papers between 2016 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
Kwai Summary Attention Technical Report.
CoRR, April, 2026

Generative Recommendation for Large-Scale Advertising.
CoRR, February, 2026

CREM: Compression-Driven Representation Enhancement for Multimodal Retrieval and Comprehension.
CoRR, February, 2026

UniRef-Image-Edit: Towards Scalable and Consistent Multi-Reference Image Editing.
CoRR, February, 2026

GEMs: Breaking the Long-Sequence Barrier in Generative Recommendation with a Multi-Stream Decoder.
CoRR, February, 2026

CAPTS: Channel-Aware, Preference-Aligned Trigger Selection for Multi-Channel Item-to-Item Retrieval.
CoRR, February, 2026

Kelix Technical Report.
CoRR, February, 2026

SMES: Towards Scalable Multi-Task Recommendation via Expert Sparsity.
CoRR, February, 2026

OneLive: Dynamically Unified Generative Framework for Live-Streaming Recommendation.
CoRR, February, 2026

DreamOn: Diffusion Language Models For Code Infilling Beyond Fixed-size Canvas.
CoRR, February, 2026

OneMall: One Architecture, More Scenarios - End-to-End Generative Recommender Family at Kuaishou E-Commerce.
CoRR, January, 2026

Unleashing the Native Recommendation Potential: LLM-Based Generative Recommendation via Structured Term Identifiers.
CoRR, January, 2026

PROMISE: Process Reward Models Unlock Test-Time Scaling Laws in Generative Recommendations.
CoRR, January, 2026

DeepSynth-Eval: Objectively Evaluating Information Consolidation in Deep Survey Writing.
CoRR, January, 2026

GRank: Towards Target-Aware and Streamlined Industrial Retrieval with a Generate-Rank Framework.
Proceedings of the ACM Web Conference 2026, 2026

DiffGRM: Diffusion-based Generative Recommendation Model.
Proceedings of the ACM Web Conference 2026, 2026

Toward Generalized Web Agent Training: A Deep Dive into Entropy-Balanced Reinforcement Learning.
Proceedings of the ACM Web Conference 2026, 2026

OneLoc: Geo-Aware Generative Recommender Systems for Local Life Service.
Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining, 2026

ChorusCVR: Chorus Supervision for Entire Space Post-Click Conversion Rate Modeling.
Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining, 2026

Foresight Prediction Enhanced Live-Streaming Recommendation.
Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining, 2026

PushGen: Push Notifications Generation with LLM.
Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining, 2026

CE-GPPO: Coordinating Entropy via Gradient-Preserving Clipping Policy Optimization in Reinforcement Learning.
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

OneRec-Think: In-Text Reasoning for Generative Recommendation.
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

Compressing then Matching: An Efficient Pre-training Paradigm for Multimodal Embedding.
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

DPWriter: Reinforcement Learning with Diverse Planning Branching for Creative Writing.
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

TIME: Temporal-Sensitive Multi-Dimensional Instruction Tuning and Robust Benchmarking for Video-LLMs.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Beyond Tokens: Dynamic Latent Reasoning via Semantic Residual Refinement.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

LLM-Aligned Geographic Item Tokenization for Local-Life Recommendation.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
Entropy Ratio Clipping as a Soft Global Constraint for Stable Reinforcement Learning.
CoRR, December, 2025

Efficient Training of Diffusion Mixture-of-Experts Models: A Practical Recipe.
CoRR, December, 2025

A Plug-and-Play Spatially-Constrained Representation Enhancement Framework for Local-Life Recommendation.
CoRR, November, 2025

Compression then Matching: An Efficient Pre-training Paradigm for Multimodal Embedding.
CoRR, November, 2025

Klear-AgentForge: Forging Agentic Intelligence through Posttraining Scaling.
CoRR, November, 2025

DiffGRM: Diffusion-based Generative Recommendation Model.
CoRR, October, 2025

Agentic Entropy-Balanced Policy Optimization.
CoRR, October, 2025

OneRec-Think: In-Text Reasoning for Generative Recommendation.
CoRR, October, 2025

Unlocking Exploration in RLVR: Uncertainty-aware Advantage Shaping for Deeper Reasoning.
CoRR, October, 2025

Accelerating Diffusion LLM Inference via Local Determinism Propagation.
CoRR, October, 2025

ASPO: Asymmetric Importance Sampling Policy Optimization.
CoRR, October, 2025

Attention as a Compass: Efficient Exploration for Process-Supervised RL in Reasoning Models.
CoRR, September, 2025

Kwai Keye-VL 1.5 Technical Report.
CoRR, September, 2025

OneRec-V2 Technical Report.
CoRR, August, 2025

Multimodal Recommendation via Self-Corrective Preference Alignmen.
CoRR, August, 2025

Thyme: Think Beyond Images.
CoRR, August, 2025

COMPEER: Controllable Empathetic Reinforcement Reasoning for Emotional Support Conversation.
CoRR, August, 2025

Klear-Reasoner: Advancing Reasoning Capability via Gradient-Preserving Clipping Policy Optimization.
CoRR, August, 2025

Selection and Exploitation of High-Quality Knowledge from Large Language Models for Recommendation.
CoRR, August, 2025

AR-GRPO: Training Autoregressive Image Generation Models via Reinforcement Learning.
CoRR, August, 2025

Klear-CodeTest: Scalable Test Case Generation for Code Reinforcement Learning.
CoRR, August, 2025

Agentic Reinforced Policy Optimization.
CoRR, July, 2025

Stabilizing Knowledge, Promoting Reasoning: Dual-Token Constraints for RLVR.
CoRR, July, 2025

Leanabell-Prover-V2: Verifier-integrated Reasoning for Formal Theorem Proving via Reinforcement Learning.
CoRR, July, 2025

RLEP: Reinforcement Learning with Experience Replay for LLM Reasoning.
CoRR, July, 2025

Kwai Keye-VL Technical Report.
CoRR, July, 2025

OneRec Technical Report.
CoRR, June, 2025

Why Distillation can Outperform Zero-RL: The Role of Flexible Reasoning.
CoRR, May, 2025

Modality Curation: Building Universal Embeddings for Advanced Multimodal Information Retrieval.
CoRR, May, 2025

Tool-Star: Empowering LLM-Brained Multi-Tool Reasoner via Reinforcement Learning.
CoRR, May, 2025

Leanabell-Prover: Posttraining Scaling in Formal Reasoning.
CoRR, April, 2025

LLM-Alignment Live-Streaming Recommendation.
CoRR, April, 2025

OneRec: Unifying Retrieve and Rank with Generative Recommender and Iterative Preference Alignment.
CoRR, February, 2025

DimeRec: A Unified Framework for Enhanced Sequential Recommendation via Generative Diffusion Models.
Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, 2025

FIM: Frequency-Aware Multi-View Interest Modeling for Local-Life Service Recommendation.
Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

Short Video Segment-level User Dynamic Interests Modeling in Personalized Recommendation.
Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

HoME: Hierarchy of Multi-Gate Experts for Multi-Task Learning at Kuaishou.
Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

RecFlow: An Industrial Full Flow Recommendation Dataset.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

MPFormer: Adaptive Framework for Industrial Multi-Task Personalized Sequential Retriever.
Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

MARM: Unlocking the Recommendation Cache Scaling-Law through Memory Augmentation and Scalable Complexity.
Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

QARM: Quantitative Alignment Multi-Modal Recommendation at Kuaishou.
Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

Taming Ultra-Long Behavior Sequence in Session-wise Generative Recommendation.
Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

MISS: Multi-Modal Tree Indexing and Searching with Lifelong Sequential Behavior for Retrieval Recommendation.
Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

Pantheon: Personalized Multi-objective Ensemble Sort via Iterative Pareto Policy Optimization.
Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

Transformers are Good Clusterers for Lifelong User Behavior Sequence Modeling.
Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

Multifaceted User Modeling in Recommendation: A Federated Foundation Models Approach.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024
CRM: Retrieval Model with Controllable Condition.
CoRR, 2024

QARM: Quantitative Alignment Multi-Modal Recommendation at Kuaishou.
CoRR, 2024

KuaiFormer: Transformer-Based Retrieval at Kuaishou.
CoRR, 2024

MARM: Unlocking the Future of Recommendation Systems through Memory Augmentation and Scalable Complexity.
CoRR, 2024

RecFlow: An Industrial Full Flow Recommendation Dataset.
CoRR, 2024

A Unified Framework for Cross-Domain Recommendation.
CoRR, 2024

Moment&Cross: Next-Generation Real-Time Cross-Domain CTR Prediction for Live-Streaming Recommendation at Kuaishou.
CoRR, 2024

End-to-end training of Multimodal Model and ranking Model.
CoRR, 2024

Chinese Tiny LLM: Pretraining a Chinese-Centric Large Language Model.
CoRR, 2024

Ensure Timeliness and Accuracy: A Novel Sliding Window Data Stream Paradigm for Live Streaming Recommendation.
CoRR, 2024

De-Anchor: Mitigating Attention Polarization for Lifelong User Behavior Modeling in Click-Through Rate Prediction.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Contextual Distillation Model for Diversified Recommendation.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

MMBee: Live Streaming Gift-Sending Recommendations via Multi-Modal Fusion and Behaviour Expansion.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Federated Adaptation for Foundation Model-based Recommendations.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

A Multimodal Transformer for Live Streaming Highlight Prediction.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

2023
ContentCTR: Frame-level Live Streaming Click-Through Rate Prediction with Multimodal Transformer.
CoRR, 2023

An End-to-End Framework for Marketing Effectiveness Optimization under Budget Constraint.
CoRR, 2023

Multi-behavior Self-supervised Learning for Recommendation.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Instant Representation Learning for Recommendation over Large Dynamic Graphs.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

2022
A Novel Airborne Molecular Contaminants Sensor Based on Sagnac Microfiber Structure.
Sensors, 2022

CAN: Feature Co-Action Network for Click-Through Rate Prediction.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

2021
An Ultra-Sensitive Multi-Functional Optical Micro/Nanofiber Based on Stretchable Encapsulation.
Sensors, 2021

One Model to Serve All: Star Topology Adaptive Recommender for Multi-Domain CTR Prediction.
CoRR, 2021

3rd International Workshop on Deep Learning Practice for High-Dimensional Sparse Data with KDD 2021.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Real Negatives Matter: Continuous Training with Real Negatives for Delayed Feedback Modeling.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

One Model to Serve All: Star Topology Adaptive Recommender for Multi-Domain CTR Prediction.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020
CAN: Revisiting Feature Co-Action for Click-Through Rate Prediction.
CoRR, 2020

COLD: Towards the Next Generation of Pre-Ranking System.
CoRR, 2020

DCAF: A Dynamic Computation Allocation Framework for Online Serving System.
CoRR, 2020

A Deep Recurrent Survival Model for Unbiased Ranking.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Search-based User Interest Modeling with Lifelong Sequential Behavior Data for Click-Through Rate Prediction.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019
Res-embedding for Deep Learning Based Click-Through Rate Prediction Modeling.
CoRR, 2019

Lifelong Sequential Modeling with Personalized Memorization for User Response Prediction.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Practice on Long Sequential User Behavior Modeling for Click-Through Rate Prediction.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Deep Interest Evolution Network for Click-Through Rate Prediction.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Deep Interest Network for Click-Through Rate Prediction.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Image Matters: Visually Modeling User Behaviors Using Advanced Model Server.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Rocket Launching: A Universal and Efficient Framework for Training Well-Performing Light Net.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
High Sensitivity Refractometer Based on Reflective Smf-Small Diameter No Core Fiber Structure.
Sensors, 2017

An effective on-line surface particles inspection instrument for large aperture optical element.
Int. J. Autom. Comput., 2017

Image Matters: Jointly Train Advertising CTR Model with Image Representation of Ad and User Behavior.
CoRR, 2017

Deep Interest Network for Click-Through Rate Prediction.
CoRR, 2017

2016
Hierarchical Latent Semantic Mapping for automated topic generation.
Proceedings of the 17th IEEE/ACIS International Conference on Software Engineering, 2016


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