Ziyu Lyu

Orcid: 0000-0002-3049-0085

According to our database1, Ziyu Lyu authored at least 21 papers between 2020 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Links

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Bibliography

2025
MidPO: Dual Preference Optimization for Safety and Helpfulness in Large Language Models via a Mixture of Experts Framework.
CoRR, June, 2025

TFDNet: Time-Frequency enhanced Decomposed Network for long-term time series forecasting.
Pattern Recognit., 2025

ShiftKD: Benchmarking knowledge distillation under distribution shift.
Neural Networks, 2025

EGRec: Leveraging Generative Rich Intents for Enhanced Recommendation with Large Language Models.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

FairWork: A Generic Framework For Evaluating Fairness In LLM-Based Job Recommender System.
Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

DHAKR: Learning Deep Hierarchical Attention-Based Kernelized Representations for Graph Classification.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024
ANID: How Far Are We? Evaluating the Discrepancies Between AI-synthesized Images and Natural Images through Multimodal Guidance.
CoRR, 2024

Knowledge Probing for Graph Representation Learning.
CoRR, 2024

2023
Knowledge Enhanced Graph Neural Networks for Explainable Recommendation.
IEEE Trans. Knowl. Data Eng., May, 2023

Information Retrieval meets Large Language Models: A strategic report from Chinese IR community.
AI Open, January, 2023

Hierarchical conversation flow transition and reasoning for conversational machine comprehension.
Neural Comput. Appl., 2023

Defect engineering of fatigue-resistant steels by data-driven models.
Eng. Appl. Artif. Intell., 2023

Revisiting Knowledge Distillation under Distribution Shift.
CoRR, 2023

TFDNet: Time-Frequency Enhanced Decomposed Network for Long-term Time Series Forecasting.
CoRR, 2023

You Augment Me: Exploring ChatGPT-based Data Augmentation for Semantic Code Search.
Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2023

Multi-task Learning for Recommendation over Heterogeneous Information Network (Extended abstract).
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

2022
Multi-Task Learning for Recommendation Over Heterogeneous Information Network.
IEEE Trans. Knowl. Data Eng., 2022

Visual Knowledge Graph for Human Action Reasoning in Videos.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

2021
Multi-view group representation learning for location-aware group recommendation.
Inf. Sci., 2021

2020
Hierarchical fusion of common sense knowledge and classifier decisions for answer selection in community question answering.
Neural Networks, 2020

Reachability preserving compression for dynamic graph.
Inf. Sci., 2020


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