Zhaocheng Du

Orcid: 0000-0002-1811-129X

According to our database¹, Zhaocheng Du authored at least 43 papers between 2023 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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Book In proceedings Article PhD thesis Dataset Other

Bibliography

2026

FollowTable: A Benchmark for Instruction-Following Table Retrieval.

[BibT_eX]

[DOI]

CoRR, May, 2026

MALLOC: Benchmarking the Memory-aware Long Sequence Compression for Large Sequential Recommendation.

[BibT_eX]

[DOI]

CoRR, January, 2026

CollectiveKV: Decoupling and Sharing Collaborative Information in Sequential Recommendation.

[BibT_eX]

[DOI]

CoRR, January, 2026

Length-Adaptive Interest Network for Balancing Long and Short Sequence Modeling in CTR Prediction.

[BibT_eX]

[DOI]

CoRR, January, 2026

FairFS: Addressing Deep Feature Selection Biases for Recommender System.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2026, 2026

BlossomRec: Block-level Fused Sparse Attention Mechanism for Sequential Recommendations.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2026, 2026

AFE-Master: Enhancing LLM-Driven Autonomous Feature Engineering with Domain-Specific Language Parsing and Guided Local Search.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2026, 2026

Length-Adaptive Interest Network for Balancing Long and Short Sequence Modeling in CTR Prediction.

[BibT_eX]

[DOI]

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

REACTION: Parameter-Efficient Learning for Recommendation.

[BibT_eX]

[DOI]

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

No One Left Behind: How to Exploit the Incomplete and Skewed Multi-Label Data for Conversion Rate Prediction.

[BibT_eX]

[DOI]

CoRR, December, 2025

Process vs. Outcome Reward: Which is Better for Agentic RAG Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, May, 2025

LSRP: A Leader-Subordinate Retrieval Framework for Privacy-Preserving Cloud-Device Collaboration.

[BibT_eX]

[DOI]

CoRR, May, 2025

A Survey of Personalization: From RAG to Agent.

[BibT_eX]

[DOI]

CoRR, April, 2025

CHOP: Mobile Operating Assistant with Constrained High-frequency Optimized Subtask Planning.

[BibT_eX]

[DOI]

CoRR, March, 2025

Inference Computation Scaling for Feature Augmentation in Recommendation Systems.

[BibT_eX]

[DOI]

CoRR, February, 2025

SampleLLM: Optimizing Tabular Data Synthesis in Recommendations.

[BibT_eX]

[DOI]

CoRR, January, 2025

Few-shot LLM Synthetic Data with Distribution Matching.

[BibT_eX]

[DOI]

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

SampleLLM: Optimizing Tabular Data Synthesis in Recommendations.

[BibT_eX]

[DOI]

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

MCNet: Monotonic Calibration Networks for Expressive Uncertainty Calibration in Online Advertising.

[BibT_eX]

[DOI]

Proceedings of the ACM on Web Conference 2025, 2025

Mitigating Source Bias with LLM Alignment.

[BibT_eX]

[DOI]

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

CHORD: Customizing Hybrid-precision On-device Model for Sequential Recommendation with Device-cloud Collaboration.

[BibT_eX]

[DOI]

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

LSRP: A Leader-Subordinate Retrieval Framework for Privacy-Preserving Cloud-Device Collaboration.

[BibT_eX]

[DOI]

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

TayFCS: Towards Light Feature Combination Selection for Deep Recommender Systems.

[BibT_eX]

[DOI]

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

Q-PRM: Adaptive Query Rewriting for Retrieval-Augmented Generation via Step-level Process Supervision.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

ICG: Improving Cover Image Generation via MLLM-based Prompting and Personalized Preference Alignment.

[BibT_eX]

[DOI]

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Prompt Tuning as User Inherent Profile Inference Machine.

[BibT_eX]

[DOI]

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

SELF: Surrogate-light Feature Selection with Large Language Models in Deep Recommender Systems.

[BibT_eX]

[DOI]

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

Bridging Relevance and Reasoning: Rationale Distillation in Retrieval-Augmented Generation.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

SyNeg: LLM-Driven Synthetic Hard-Negatives for Dense Retrieval.

[BibT_eX]

[DOI]

CoRR, 2024

RecSys Arena: Pair-wise Recommender System Evaluation with Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

Bridging Relevance and Reasoning: Rationale Distillation in Retrieval-Augmented Generation.

[BibT_eX]

[DOI]

CoRR, 2024

AltFS: Agency-light Feature Selection with Large Language Models in Deep Recommender Systems.

[BibT_eX]

[DOI]

CoRR, 2024

Prompt Tuning as User Inherent Profile Inference Machine.

[BibT_eX]

[DOI]

CoRR, 2024

Retrievable Domain-Sensitive Feature Memory for Multi-Domain Recommendation.

[BibT_eX]

[DOI]

CoRR, 2024

ERASE: Benchmarking Feature Selection Methods for Deep Recommender Systems.

[BibT_eX]

[DOI]

CoRR, 2024

LightCS: Selecting Quadratic Feature Crosses in Linear Complexity.

[BibT_eX]

[DOI]

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

Ranking-Aware Unbiased Post-Click Conversion Rate Estimation via AUC Optimization on Entire Exposure Space.

[BibT_eX]

[DOI]

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

A Tutorial on Feature Interpretation in Recommender Systems.

[BibT_eX]

[DOI]

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

Multimodal Pretraining, Adaptation, and Generation for Recommendation: A Survey.

[BibT_eX]

[DOI]

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

ERASE: Benchmarking Feature Selection Methods for Deep Recommender Systems.

[BibT_eX]

[DOI]

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

UniEmbedding: Learning Universal Multi-Modal Multi-Domain Item Embeddings via User-View Contrastive Learning.

[BibT_eX]

[DOI]

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

Single-shot Feature Selection for Multi-task Recommendations.

[BibT_eX]

[DOI]

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

Diffusion Augmentation for Sequential Recommendation.

[BibT_eX]

[DOI]

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

Zhaocheng Du

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