Xingyu Lou

Orcid: 0009-0003-3180-0668

According to our database1, Xingyu Lou authored at least 30 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

Online presence:

On csauthors.net:

Bibliography

2026
TopoClaw: A Human-Centric and Topology-Aware Agent Operating System.
CoRR, May, 2026

Externalization in LLM Agents: A Unified Review of Memory, Skills, Protocols and Harness Engineering.
CoRR, April, 2026

Plan-MCTS: Plan Exploration for Action Exploitation in Web Navigation.
CoRR, February, 2026

Adaptive Milestone Reward for GUI Agents.
CoRR, February, 2026

LLM4DSR: Leveraging Large Language Model for Denoising Sequential Recommendation.
ACM Trans. Inf. Syst., January, 2026

ColorBrowserAgent: An Intelligent GUI Agent for Complex Long-Horizon Web Automation.
CoRR, January, 2026

Agent-Dice: Disentangling Knowledge Updates via Geometric Consensus for Agent Continual Learning.
CoRR, January, 2026

ColorBench: Benchmarking Mobile Agents with Graph-Structured Framework for Complex Long-Horizon Tasks.
Proceedings of the ACM Web Conference 2026, 2026

Field Matters: A Lightweight LLM-enhanced Method for CTR Prediction.
Proceedings of the ACM Web Conference 2026, 2026

2025
ColorEcosystem: Powering Personalized, Standardized, and Trustworthy Agentic Service in massive-agent Ecosystem.
CoRR, October, 2025

ColorAgent: Building A Robust, Personalized, and Interactive OS Agent.
CoRR, October, 2025

ColorBench: Benchmarking Mobile Agents with Graph-Structured Framework for Complex Long-Horizon Tasks.
CoRR, October, 2025

HatLLM: Hierarchical Attention Masking for Enhanced Collaborative Modeling in LLM-based Recommendation.
CoRR, October, 2025

VeriOS: Query-Driven Proactive Human-Agent-GUI Interaction for Trustworthy OS Agents.
CoRR, September, 2025

Quick on the Uptake: Eliciting Implicit Intents from Human Demonstrations for Personalized Mobile-Use Agents.
CoRR, August, 2025

MobileUse: A GUI Agent with Hierarchical Reflection for Autonomous Mobile Operation.
CoRR, July, 2025

OThink-R1: Intrinsic Fast/Slow Thinking Mode Switching for Over-Reasoning Mitigation.
CoRR, June, 2025

TD3: Tucker Decomposition Based Dataset Distillation Method for Sequential Recommendation.
Proceedings of the ACM on Web Conference 2025, 2025

FedGF: Enhancing Structural Knowledge via Graph Factorization for Federated Graph Learning.
Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, 2025

Progressive Tasks Guided Multi-Source Network for Customer Lifetime Value Prediction in Online Advertising.
Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, 2025

MSL: Not All Tokens Are What You Need for Tuning LLM as a Recommender.
Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

Training-free Periodic Interest Augmentation in Incremental Recommendation.
Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

Personalized Federated Recommendation with Multi-Faceted User Representation and Global Consistent Prototype.
Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

2024
Adaptive Conditional Expert Selection Network for Multi-domain Recommendation.
CoRR, 2024

LLM4DSR: Leveraing Large Language Model for Denoising Sequential Recommendation.
CoRR, 2024

HMDN: Hierarchical Multi-Distribution Network for Click-Through Rate Prediction.
CoRR, 2024

Knowledge-aware Dual-side Attribute-enhanced Recommendation.
CoRR, 2024

DIIT: A Domain-Invariant Information Transfer Method for Industrial Cross-Domain Recommendation.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2021
Improving Dialogue Response Generation Via Knowledge Graph Filter.
Proceedings of the IEEE International Conference on Acoustics, 2021

2019
Adversarial Discrete Sequence Generation without Explicit NeuralNetworks as Discriminators.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019


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