Yunxiao Shi

Orcid: 0009-0003-7308-7928

According to our database1, Yunxiao Shi authored at least 36 papers between 2017 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
MEGG: replay via maximally extreme GGscore in incremental learning for neural recommendation models.
Data Min. Knowl. Discov., April, 2026

AgentSelect: Benchmark for Narrative Query-to-Agent Recommendation.
CoRR, March, 2026

Generative Scenario Rollouts for End-to-End Autonomous Driving.
CoRR, January, 2026

BPF-DAG: Byte-Packet-Flow Features Fusion via Dynamic Attributed Graph for Reliable Encrypted Traffic Classification.
IEEE Trans. Inf. Forensics Secur., 2026

2025
Accumulative SGD Influence Estimation for Data Attribution.
CoRR, October, 2025

sam-llm: interpretable lane change trajectoryprediction via parametric finetuning.
CoRR, September, 2025

RoCA: Robust Cross-Domain End-to-End Autonomous Driving.
CoRR, June, 2025

ODG: Occupancy Prediction Using Dual Gaussians.
CoRR, June, 2025

BePo: Leveraging Birds Eye View and Sparse Points for Efficient and Accurate 3D Occupancy Prediction.
CoRR, June, 2025

InstructAgent: Building User Controllable Recommender via LLM Agent.
CoRR, February, 2025

Causal disentanglement for regulating social influence bias in social recommendation.
Neurocomputing, 2025

HyBiGraph: Toward Multi-Order Malicious Encrypted Traffic Classification via Hyper-Bipartite Graph Fusion.
Proceedings of the 24th IEEE International Conference on Trust, 2025

RSVLM-QA: A Benchmark Dataset for Remote Sensing Vision Language Model-based Question Answering.
Proceedings of the 33rd ACM International Conference on Multimedia, 2025

H3O: Hyper-Efficient 3D Occupancy Prediction with Heterogeneous Supervision.
Proceedings of the IEEE International Conference on Robotics and Automation, 2025

SLMRec: Distilling Large Language Models into Small for Sequential Recommendation.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

PADRe: A Unifying Polynomial Attention Drop-in Replacement for Efficient Vision Transformer.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Answering Narrative-Driven Recommendation Queries via a Retrieve-Rank Paradigm and the OCG-Agent.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

iAgent: LLM Agent as a Shield between User and Recommender Systems.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

PersonaX: A Recommendation Agent-Oriented User Modeling Framework for Long Behavior Sequence.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024
Beyond KAN: Introducing KarSein for Adaptive High-Order Feature Interaction Modeling in CTR Prediction.
CoRR, 2024

ERAGent: Enhancing Retrieval-Augmented Language Models with Improved Accuracy, Efficiency, and Personalization.
CoRR, 2024

Parameter Hierarchical Optimization for Visible-Infrared Person Re-Identification.
CoRR, 2024

A Learnable Agent Collaboration Network Framework for Personalized Multimodal AI Search Engine.
Proceedings of the 2nd International Workshop on Deep Multimodal Generation and Retrieval, 2024

FutureDepth: Learning to Predict the Future Improves Video Depth Estimation.
Proceedings of the Computer Vision - ECCV 2024, 2024

Enhancing Retrieval and Managing Retrieval: A Four-Module Synergy for Improved Quality and Efficiency in RAG Systems.
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

DeCoTR: Enhancing Depth Completion with 2D and 3D Attentions.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

BDC Dataset: A Comprehensive Dataset for Automated Build Damage Classification.
Proceedings of the Advanced Data Mining and Applications - 20th International Conference, 2024

2023
A Parted-based Method for Unsupervised Visible-Infrared Re-identification.
Proceedings of the 18th International Conference on Intelligent Systems and Knowledge Engineering, 2023

MAMo: Leveraging Memory and Attention for Monocular Video Depth Estimation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

EGA-Depth: Efficient Guided Attention for Self-Supervised Multi-Camera Depth Estimation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
A Novel Malware Traffic Classification Method Based on Differentiable Architecture Search.
Proceedings of the 96th Vehicular Technology Conference, 2022

2020
MDA-Net: Memorable Domain Adaptation Network for Monocular Depth Estimation.
Proceedings of the 31st British Machine Vision Conference 2020, 2020

2019
Self-Supervised Learning of Depth and Ego-motion with Differentiable Bundle Adjustment.
CoRR, 2019

Structure-Attentioned Memory Network for Monocular Depth Estimation.
CoRR, 2019

Pairwise Attention Encoding for Point Cloud Feature Learning.
Proceedings of the 2019 International Conference on 3D Vision, 2019

2017
Adaptive L_p (0 Regularization: Oracle Property and Applications.
Proceedings of the Neural Information Processing - 24th International Conference, 2017


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