Chengxiang Zhuo

Orcid: 0009-0001-5750-140X

According to our database¹, Chengxiang Zhuo authored at least 21 papers between 2018 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

SPARD: Defending Harmful Fine-Tuning Attack via Safety Projection with Relevance-Diversity Data Selection.

[BibT_eX]

[DOI]

CoRR, May, 2026

Intent-Driven Semantic ID Generation for Grounded Conversational News Recommendation.

[BibT_eX]

[DOI]

CoRR, May, 2026

SAGER: Self-Evolving User Policy Skills for Recommendation Agent.

[BibT_eX]

[DOI]

CoRR, April, 2026

DynaMoLTV: A Cross-Game Dynamic Mixture Model with Weighted Sub-Distributions for Player Lifetime Value Prediction.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2026, 2026

G-UBS: Towards Robust Understanding of Implicit Feedback via Group-Aware User Behavior Simulation.

[BibT_eX]

[DOI]

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

When Top-ranked Recommendations Fail: Modeling Multi-Granular Negative Feedback for Explainable and Robust Video Recommendation.

[BibT_eX]

[DOI]

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

VRAgent-R1: Boosting Video Recommendation with MLLM-based Agents via Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

HiGR: Efficient Generative Slate Recommendation via Hierarchical Planning and Multi-Objective Preference Alignment.

[BibT_eX]

[DOI]

CoRR, December, 2025

When Top-ranked Recommendations Fail: Modeling Multi-Granular Negative Feedback for Explainable and Robust Video Recommendation.

[BibT_eX]

[DOI]

CoRR, November, 2025

G-UBS: Towards Robust Understanding of Implicit Feedback via Group-Aware User Behavior Simulation.

[BibT_eX]

[DOI]

CoRR, August, 2025

MixDec Sampling: A Soft Link-based Sampling Method of Graph Neural Network for Recommendation.

[BibT_eX]

[DOI]

CoRR, February, 2025

VisionMath: Vision-Form Mathematical Problem-Solving.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

STPformer: Mutation-Aware Spatial-Temporal Pivotal Attention Networks for Transformer-Based Traffic Forecasting.

[BibT_eX]

[DOI]

Proceedings of the Database Systems for Advanced Applications, 2025

2024

L<sup>2</sup>CL: Embarrassingly Simple Layer-to-Layer Contrastive Learning for Graph Collaborative Filtering.

[BibT_eX]

[DOI]

CoRR, 2024

Decomposition for Enhancing Attention: Improving LLM-based Text-to-SQL through Workflow Paradigm.

[BibT_eX]

[DOI]

CoRR, 2024

Decomposition for Enhancing Attention: Improving LLM-based Text-to-SQL through Workflow Paradigm.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Olapa-MCoT: Enhancing the Chinese Mathematical Reasoning Capability of LLMs.

[BibT_eX]

[DOI]

CoRR, 2023

OlaGPT: Empowering LLMs With Human-like Problem-Solving Abilities.

[BibT_eX]

[DOI]

CoRR, 2023

2022

MixDec Sampling: A Soft Link-based Sampling Method of Graph Neural Network for Recommendation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2022

2020

Domain Adaptation with Incomplete Target Domains.

[BibT_eX]

[DOI]

CoRR, 2020

2018

Large-Scale Targeted Marketing by Supervised PageRank with Seeds.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2018

Chengxiang Zhuo

Timeline

Legend:

Links

On csauthors.net:

Bibliography

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