Yulan Hu

According to our database, Yulan Hu authored at least 39 papers between 2007 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Multi-Stakeholder LLM Alignment: Decomposing Estimation from Aggregation.

Lulu Zheng, Wenjin Yang, Xiangwen Zhang, Rong Yin, Yulan Hu, Zheng Pan, Xin Li

CoRR, May, 2026

GroupTravelBench: Benchmarking LLM Agents on Multi-Person Travel Planning.

Xiang Cheng, Yulan Hu, Lulu Zheng, Zheng Pan, Xin Li, Yong Liu

CoRR, May, 2026

TRACE: Distilling Where It Matters via Token-Routed Self On-Policy Alignment.

Jiaxuan Wang, Xuan Ouyang, Zhiyu Chen, Yulan Hu, Zheng Pan, Xin Li, Lan-Zhe Guo

CoRR, May, 2026

Aligning Agents via Planning: A Benchmark for Trajectory-Level Reward Modeling.

Jiaxuan Wang, Yulan Hu, Wenjin Yang, Zheng Pan, Xin Li, Lan-Zhe Guo

CoRR, April, 2026

Beyond Forced Modality Balance: Intrinsic Information Budgets for Multimodal Learning.

Zechang Xiong, Da Li, Kexin Tang, Pengyuan Li, Wenkang Kong, Yulan Hu

CoRR, March, 2026

Learn More with Less: Uncertainty Consistency Guided Query Selection for RLVR.

Hao Yi, Yulan Hu, Xin Li, Sheng Ouyang, Lizhong Ding, Yong Liu

CoRR, January, 2026

No More Stale Feedback: Co-Evolving Critics for Open-World Agent Learning.

Zhicong Li, Lingjie Jiang, Yulan Hu, Xingchen Zeng, Yixia Li, Xiangwen Zhang, Guanhua Chen, Zheng Pan, Xin Li, Yong Liu

CoRR, January, 2026

Beyond Similar Information: A Distinction-Preserving Framework for Graph Autoencoders.

Ge Chen, Yulan Hu, Sheng Ouyang, Cuicui Luo

Proceedings of the Database Systems for Advanced Applications, 2026

2025

AMAP Agentic Planning Technical Report.

Yulan Hu, Xiangwen Zhang, Sheng Ouyang, Hao Yi, Lu Xu, Qinglin Lang, Lide Tan, Xiang Cheng, Tianchen Ye, Zhicong Li, Ge Chen, Wenjin Yang, Zheng Pan, Shaopan Xiong, Siran Yang, Ju Huang, Yan Zhang, Jiamang Wang, Yong Liu, Yinfeng Huang, Tucheng Lin, Xin Li, Ning Guo

CoRR, December, 2025

TravelBench: A Real-World Benchmark for Multi-Turn and Tool-Augmented Travel Planning.

Xiang Cheng, Yulan Hu, Xiangwen Zhang, Lu Xu, Zheng Pan, Xin Li, Yong Liu

CoRR, December, 2025

Coarse-to-Fine Process Reward Modeling for Enhanced Mathematical Reasoning.

Yulan Hu, Sheng Ouyang, Yong Liu

CoRR, January, 2025

Adversarial Masked Graph Autoencoders for Improved Graph Representation Learning.

Yulan Hu, Zhirui Yang, Sheng Ouyang, Yong Liu

Proceedings of the 2025 International Conference on Multimedia Retrieval, 2025

Contrastive Pre-Training and Post-Tuning for Heterogeneous Graph Learning.

Yulan Hu, Sheng Ouyang, Zhirui Yang, Yong Liu

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Tiny Budgets, Big Gains: Parameter Placement Strategy in Parameter Super-Efficient Fine-Tuning.

Jinman Zhao, Xueyan Zhang, Jiaru Li, Jingcheng Niu, Yulan Hu, Erxue Min, Gerald Penn

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

SPPD: Self-training with Process Preference Learning Using Dynamic Value Margin.

Hao Yi, Qingyang Li, Yulan Hu, Fuzheng Zhang, Di Zhang, Yong Liu

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

Improving Graph Autoencoders by Hard Sample Refinement with Global Similarity.

Ge Chen, Yulan Hu, Sheng Ouyang, Cuicui Luo

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

Towards Reward Fairness in RLHF: From a Resource Allocation Perspective.

Sheng Ouyang, Yulan Hu, Ge Chen, Qingyang Li, Fuzheng Zhang, Yong Liu

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Video-Text Dataset Construction from Multi-AI Feedback: Promoting Weak-to-Strong Preference Learning for Video Large Language Models.

Hao Yi, Qingyang Li, Yulan Hu, Fuzheng Zhang, Di Zhang, Yong Liu

CoRR, 2024

GUNDAM: Aligning Large Language Models with Graph Understanding.

Sheng Ouyang, Yulan Hu, Ge Chen, Yong Liu

CoRR, 2024

TSO: Self-Training with Scaled Preference Optimization.

Kaihui Chen, Hao Yi, Qingyang Li, Tianyu Qi, Yulan Hu, Fuzheng Zhang, Yong Liu

CoRR, 2024

Preserving Node Distinctness in Graph Autoencoders via Similarity Distillation.

Ge Chen, Yulan Hu, Sheng Ouyang, Yong Liu, Cuicui Luo

CoRR, 2024

Towards Comprehensive Preference Data Collection for Reward Modeling.

Yulan Hu, Qingyang Li, Sheng Ouyang, Ge Chen, Kaihui Chen, Lijun Mei, Xucheng Ye, Fuzheng Zhang, Yong Liu

CoRR, 2024

Exploring Task Unification in Graph Representation Learning via Generative Approach.

Yulan Hu, Sheng Ouyang, Zhirui Yang, Ge Chen, Junchen Wan, Xiao Wang, Yong Liu

CoRR, 2024

IdmGAE: Importance-Inspired Dynamic Masking for Graph Autoencoders.

Ge Chen, Yulan Hu, Sheng Ouyang, Zhirui Yang, Yong Liu, Cuicui Luo

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Enhancing Realism in 3D Facial Animation Using Conformer-Based Generation and Automated Post-Processing.

Yi Zhao, Chunyu Qiang, Hao Li, Yulan Hu, Wangjin Zhou, Sheng Li

Proceedings of the IEEE International Conference on Acoustics, 2024

GFMAE: Self-Supervised GNN-Free Masked Autoencoders.

Yulan Hu, Sheng Ouyang, Zhirui Yang, Yi Zhao, Junchen Wan, Fuzheng Zhang, Zhongyuan Wang, Yong Liu

Proceedings of the IEEE International Conference on Acoustics, 2024

Advancing Latent Representation Ranking for Masked Graph Autoencoder.

Yulan Hu, Ge Chen, Sheng Ouyang, Zhirui Yang, Junchen Wan, Fuzheng Zhang, Zhongyuan Wang, Zhao Cao, Shangquan Wu, Yong Liu

Proceedings of the Database Systems for Advanced Applications, 2024

WaveNet: Tackling Non-stationary Graph Signals via Graph Spectral Wavelets.

Zhirui Yang, Yulan Hu, Sheng Ouyang, Jingyu Liu, Shuqiang Wang, Xibo Ma, Wenhan Wang, Hanjing Su, Yong Liu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

On The Maximum Cliques Of The Subgraphs Induced By Binary Constant Weight Codes In Powers Of Hypercubes.

Juanjuan Shi, Yongfang Kou, Yulan Hu, Weihua Yang

Comput. J., October, 2023

VIGraph: Self-supervised Learning for Class-Imbalanced Node Classification.

Yulan Hu, Sheng Ouyang, Zhirui Yang, Yong Liu

CoRR, 2023

Do We Really Need Contrastive Learning for Graph Representation?

Yulan Hu, Sheng Ouyang, Jingyu Liu, Ge Chen, Zhirui Yang, Junchen Wan, Fuzheng Zhang, Zhongyuan Wang, Yong Liu

CoRR, 2023

HGCVAE: Integrating Generative and Contrastive Learning for Heterogeneous Graph Learning.

Yulan Hu, Zhirui Yang, Sheng Ouyang, Junchen Wan, Fuzheng Zhang, Zhongyuan Wang, Yong Liu

CoRR, 2023

2021

Green CWS: Extreme Distillation and Efficient Decode Method Towards Industrial Application.

Yulan Hu, Yong Liu

CoRR, 2021

Anomaly detection method of packet loss node location in heterogeneous hash networks.

Jian Wang, Yulan Hu, Yining Wang, Qingshan Zhao

Comput. Commun., 2021

Research on field personnel vibration recognition algorithm based on HHT-MFCC and LBG.

Yulan Hu, Yuangen Lu, Peng Wang, Yuanzhen Jiang, Wei Lu

Proceedings of the ICCAI '21: 2021 7th International Conference on Computing and Artificial Intelligence, Tianjin China, April 23, 2021

2019

An Efficient Anomaly Detection Framework for Electromagnetic Streaming Data.

Degang Sun, Yulan Hu, Zhixin Shi, Guokun Xu, Wei Zhou

Proceedings of the 4th International Conference on Big Data and Computing, 2019

2018

Some Approaches to the Calculation of Conservation Laws for a Telegraph System and Their Comparisons.

Buhe Eerdun, G. W. Bluman, Alatancang Chen, Yulan Hu

Symmetry, 2018

2009

The Research of Target Identification Based on Neural Network and D-S Evidence Theory.

Yulan Hu, Xiaojing Fan, Huijing Zhao, Bing Hu

Proceedings of the 2009 International Asia Conference on Informatics in Control, 2009

2007

Parallel Search Strategies for TSPs Using a Greedy Genetic Algorithm.

Yingzi Wei, Yulan Hu, Kanfeng Gu

Proceedings of the Third International Conference on Natural Computation, 2007