Parallel Search Strategies for TSPs Using a Greedy Genetic Algorithm. - Yingzi Wei; Yulan Hu; Kanfeng Gu (ICNC (3), 2007)

The Research of Target Identification Based on Neural Network and D-S Evidence Theory. - Yulan Hu; Xiaojing Fan; Huijing Zhao; Bing Hu (CAR, 2009)

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)

An Efficient Anomaly Detection Framework for Electromagnetic Streaming Data. - Degang Sun; Yulan Hu; Zhixin Shi; Guokun Xu; Wei Zhou (ICBDC, 2019)

Research on field personnel vibration recognition algorithm based on HHT-MFCC and LBG. - Yulan Hu; Yuangen Lu; Peng Wang; Yuanzhen Jiang; Wei Lu (ICCAI, 2021)

Anomaly detection method of packet loss node location in heterogeneous hash networks. - Jian Wang; Yulan Hu; Yining Wang; Qingshan Zhao (Comput. Commun., 2021)

Green CWS: Extreme Distillation and Efficient Decode Method Towards Industrial Application. - Yulan Hu; Yong Liu (CoRR, 2021)

HGCVAE: Integrating Generative and Contrastive Learning for Heterogeneous Graph Learning. - Yulan Hu; Zhirui Yang; Sheng Ouyang; Junchen Wan; Fuzheng Zhang; Zhongyuan Wang 006; Yong Liu 018 (CoRR, 2023)

Do We Really Need Contrastive Learning for Graph Representation? - Yulan Hu; Sheng Ouyang; Jingyu Liu; Ge Chen 006; Zhirui Yang; Junchen Wan; Fuzheng Zhang; Zhongyuan Wang 006; Yong Liu 018 (CoRR, 2023)

VIGraph: Self-supervised Learning for Class-Imbalanced Node Classification. - Yulan Hu; Sheng Ouyang; Zhirui Yang; Yong Liu (CoRR, 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., 2023)

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 018 (AAAI, 2024)

Advancing Latent Representation Ranking for Masked Graph Autoencoder. - Yulan Hu; Ge Chen 006; Sheng Ouyang; Zhirui Yang; Junchen Wan; Fuzheng Zhang; Zhongyuan Wang 006; Zhao Cao; Shangquan Wu; Yong Liu 018 (DASFAA (6), 2024)

GFMAE: Self-Supervised GNN-Free Masked Autoencoders. - Yulan Hu; Sheng Ouyang; Zhirui Yang; Yi Zhao 006; Junchen Wan; Fuzheng Zhang; Zhongyuan Wang 006; Yong Liu 018 (ICASSP, 2024)

Enhancing Realism in 3D Facial Animation Using Conformer-Based Generation and Automated Post-Processing. - Yi Zhao 006; Chunyu Qiang; Hao Li 078; Yulan Hu; Wangjin Zhou; Sheng Li 010 (ICASSP, 2024)

IdmGAE: Importance-Inspired Dynamic Masking for Graph Autoencoders. - Ge Chen 006; Yulan Hu; Sheng Ouyang; Zhirui Yang; Yong Liu 018; Cuicui Luo (SIGIR, 2024)

Exploring Task Unification in Graph Representation Learning via Generative Approach. - Yulan Hu; Sheng Ouyang; Zhirui Yang; Ge Chen 006; Junchen Wan; Xiao Wang; Yong Liu 018 (CoRR, 2024)

Towards Comprehensive Preference Data Collection for Reward Modeling. - Yulan Hu; Qingyang Li 001; Sheng Ouyang; Ge Chen 006; Kaihui Chen; Lijun Mei; Xucheng Ye; Fuzheng Zhang; Yong Liu 018 (CoRR, 2024)

Preserving Node Distinctness in Graph Autoencoders via Similarity Distillation. - Ge Chen 006; Yulan Hu; Sheng Ouyang; Yong Liu 018; Cuicui Luo (CoRR, 2024)

TSO: Self-Training with Scaled Preference Optimization. - Kaihui Chen; Hao Yi; Qingyang Li 001; Tianyu Qi; Yulan Hu; Fuzheng Zhang; Yong Liu 018 (CoRR, 2024)

GUNDAM: Aligning Large Language Models with Graph Understanding. - Sheng Ouyang; Yulan Hu; Ge Chen 006; Yong Liu 018 (CoRR, 2024)

Video-Text Dataset Construction from Multi-AI Feedback: Promoting Weak-to-Strong Preference Learning for Video Large Language Models. - Hao Yi; Qingyang Li 001; Yulan Hu; Fuzheng Zhang; Di Zhang; Yong Liu 018 (CoRR, 2024)

Towards Reward Fairness in RLHF: From a Resource Allocation Perspective. - Sheng Ouyang; Yulan Hu; Ge Chen 006; Qingyang Li 001; Fuzheng Zhang; Yong Liu 018 (ACL (1), 2025)

Contrastive Pre-Training and Post-Tuning for Heterogeneous Graph Learning. - Yulan Hu; Sheng Ouyang; Zhirui Yang; Yong Liu (ICASSP, 2025)

Adversarial Masked Graph Autoencoders for Improved Graph Representation Learning. - Yulan Hu; Zhirui Yang; Sheng Ouyang; Yong Liu 018 (ICMR, 2025)

Coarse-to-Fine Process Reward Modeling for Enhanced Mathematical Reasoning. - Yulan Hu; Sheng Ouyang; Yong Liu 018 (CoRR, 2025)

SPPD: Self-training with Process Preference Learning Using Dynamic Value Margin. - Hao Yi; Qingyang Li 001; Yulan Hu; Fuzheng Zhang; Di Zhang; Yong Liu 018 (CoRR, 2025)