He Zhang

According to our database, He Zhang authored at least 28 papers between 2010 and 2024.

Collaborative distances:

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

2024

From Wide to Deep: Dimension Lifting Network for Parameter-Efficient Knowledge Graph Embedding.

Borui Cai, Yong Xiang, Longxiang Gao, Di Wu, He Zhang, Jiong Jin, Tom H. Luan

IEEE Trans. Knowl. Data Eng., December, 2024

Trustworthy Graph Neural Networks: Aspects, Methods, and Trends.

He Zhang, Bang Wu, Xingliang Yuan, Shirui Pan, Hanghang Tong, Jian Pei

Proc. IEEE, February, 2024

Gradient Transformation: Towards Efficient and Model-Agnostic Unlearning for Dynamic Graph Neural Networks.

He Zhang, Bang Wu, Xiangwen Yang, Xingliang Yuan, Chengqi Zhang, Shirui Pan

CoRR, 2024

Overview of the NLPCC2024 Shared Task 6: Scientific Literature Survey Generation.

Yangjie Tian, Xungang Gu, Aijia Li, He Zhang, Ruohua Xu, Yunfeng Li, Ming Liu

Proceedings of the Natural Language Processing and Chinese Computing, 2024

GraphGuard: Detecting and Counteracting Training Data Misuse in Graph Neural Networks.

Bang Wu, He Zhang, Xiangwen Yang, Shuo Wang, Minhui Xue, Shirui Pan, Xingliang Yuan

Proceedings of the 31st Annual Network and Distributed System Security Symposium, 2024

ICPR 2024 Competition on Multi-line Mathematical Expressions Recognition.

Tianrui Zong, Lin Yang, Wei Luo, Wenhao Yu, Borui Cai, He Zhang, Fenghong Liu, Qinqin Yan, Liangcai Gao

Proceedings of the Pattern Recognition. Competitions - 27th International Conference, 2024

Unraveling Privacy Risks of Individual Fairness in Graph Neural Networks.

He Zhang, Xingliang Yuan, Shirui Pan

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

GOODAT: Towards Test-Time Graph Out-of-Distribution Detection.

Luzhi Wang, Dongxiao He, He Zhang, Yixin Liu, Wenjie Wang, Shirui Pan, Di Jin, Tat-Seng Chua

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

2023

A survey on fairness-aware recommender systems.

Di Jin, Luzhi Wang, He Zhang, Yizhen Zheng, Weiping Ding, Feng Xia, Shirui Pan

Inf. Fusion, December, 2023

Projective Ranking-Based GNN Evasion Attacks.

He Zhang, Xingliang Yuan, Chuan Zhou, Shirui Pan

IEEE Trans. Knowl. Data Eng., August, 2023

Recent Advances in Hierarchical Multi-label Text Classification: A Survey.

Rundong Liu, Wenhan Liang, Weijun Luo, Yuxiang Song, He Zhang, Ruohua Xu, Yunfeng Li, Ming Liu

CoRR, 2023

On the Interaction between Node Fairness and Edge Privacy in Graph Neural Networks.

He Zhang, Xingliang Yuan, Quoc Viet Hung Nguyen, Shirui Pan

CoRR, 2023

Temporal Knowledge Graph Completion: A Survey.

Borui Cai, Yong Xiang, Longxiang Gao, He Zhang, Yunfeng Li, Jianxin Li

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Finding the Missing-half: Graph Complementary Learning for Homophily-prone and Heterophily-prone Graphs.

Yizhen Zheng, He Zhang, Vincent Cheng-Siong Lee, Yu Zheng, Xiao Wang, Shirui Pan

Proceedings of the International Conference on Machine Learning, 2023

Demystifying Uneven Vulnerability of Link Stealing Attacks against Graph Neural Networks.

He Zhang, Bang Wu, Shuo Wang, Xiangwen Yang, Minhui Xue, Shirui Pan, Xingliang Yuan

Proceedings of the International Conference on Machine Learning, 2023

2022

Overview of NLPCC2022 Shared Task 5 Track 1: Multi-label Classification for Scientific Literature.

Ming Liu, He Zhang, Yangjie Tian, Tianrui Zong, Borui Cai, Ruohua Xu, Yunfeng Li

Proceedings of the Natural Language Processing and Chinese Computing, 2022

Overview of NLPCC2022 Shared Task 5 Track 2: Named Entity Recognition.

Borui Cai, He Zhang, Fenghong Liu, Ming Liu, Tianrui Zong, Zhe Chen, Yunfeng Li

Proceedings of the Natural Language Processing and Chinese Computing, 2022

How Far are We from Robust Long Abstractive Summarization?

Huan Yee Koh, Jiaxin Ju, He Zhang, Ming Liu, Shirui Pan

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021

Federated Learning Meets Natural Language Processing: A Survey.

Ming Liu, Stella Ho, Mengqi Wang, Longxiang Gao, Yuan Jin, He Zhang

CoRR, 2021

Projective Ranking: A Transferable Evasion Attack Method on Graph Neural Networks.

He Zhang, Bang Wu, Xiangwen Yang, Chuan Zhou, Shuo Wang, Xingliang Yuan, Shirui Pan

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

SummPip: Unsupervised Multi-Document Summarization with Sentence Graph Compression.

Jinming Zhao, Ming Liu, Longxiang Gao, Yuan Jin, Lan Du, He Zhao, He Zhang, Gholamreza Haffari

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

2019

Fast and efficient calculations of structural invariants of chirality.

He Zhang, Hanlin Mo, You Hao, Qi Li, Shirui Li, Hua Li

Pattern Recognit. Lett., 2019

Dual affine moment invariants.

You Hao, Hanlin Mo, Qi Li, He Zhang, Hua Li

CoRR, 2019

2018

AMI-Net: Convolution Neural Networks With Affine Moment Invariants.

You Hao, Qi Li, Hanlin Mo, He Zhang, Hua Li

IEEE Signal Process. Lett., 2018

Differential and Integral Invariants Under Möbius Transformation.

He Zhang, Hanlin Mo, You Hao, Qi Li, Hua Li

Proceedings of the Pattern Recognition and Computer Vision - First Chinese Conference, 2018

A Rotation Invariant Descriptor Using Multi-directional and High-Order Gradients.

Hanlin Mo, Qi Li, You Hao, He Zhang, Hua Li

Proceedings of the Pattern Recognition and Computer Vision - First Chinese Conference, 2018

2017

Fast and Efficient Calculations of Structural Invariants of Chirality.

He Zhang, Hanlin Mo, You Hao, Shirui Li, Hua Li

CoRR, 2017

2010

Dynamical Jumping Real-Time Fault-Tolerant Routing Protocol for Wireless Sensor Networks.

Guowei Wu, Chi Lin, Feng Xia, Lin Yao, He Zhang, Bing Liu

Sensors, 2010