Dynamical Jumping Real-Time Fault-Tolerant Routing Protocol for Wireless Sensor Networks. - Guowei Wu; Chi Lin 001; Feng Xia 001; Lin Yao 001; He Zhang 012; Bing Liu (Sensors, 2010)

Fast and Efficient Calculations of Structural Invariants of Chirality. - He Zhang 012; Hanlin Mo; You Hao; Shirui Li; Hua Li 009 (CoRR, 2017)

A Rotation Invariant Descriptor Using Multi-directional and High-Order Gradients. - Hanlin Mo; Qi Li; You Hao; He Zhang 012; Hua Li 009 (PRCV (1), 2018)

Differential and Integral Invariants Under Möbius Transformation. - He Zhang 012; Hanlin Mo; You Hao; Qi Li; Hua Li 009 (PRCV (3), 2018)

AMI-Net: Convolution Neural Networks With Affine Moment Invariants. - You Hao; Qi Li; Hanlin Mo; He Zhang 012; Hua Li 009 (IEEE Signal Process. Lett., 2018)

Dual affine moment invariants. - You Hao; Hanlin Mo; Qi Li; He Zhang 012; Hua Li 009 (CoRR, 2019)

Fast and efficient calculations of structural invariants of chirality. - He Zhang 012; Hanlin Mo; You Hao; Qi Li; Shirui Li; Hua Li 009 (Pattern Recognit. Lett., 2019)

SummPip: Unsupervised Multi-Document Summarization with Sentence Graph Compression. - Jinming Zhao; Ming Liu 028; Longxiang Gao; Yuan Jin; Lan Du 002; He Zhao 001; He Zhang 012; Gholamreza Haffari (SIGIR, 2020)

Projective Ranking: A Transferable Evasion Attack Method on Graph Neural Networks. - He Zhang 012; Bang Wu; Xiangwen Yang; Chuan Zhou 001; Shuo Wang 012; Xingliang Yuan; Shirui Pan (CIKM, 2021)

Federated Learning Meets Natural Language Processing: A Survey. - Ming Liu 028; Stella Ho; Mengqi Wang; Longxiang Gao; Yuan Jin; He Zhang 012 (CoRR, 2021)

How Far are We from Robust Long Abstractive Summarization? - Huan Yee Koh; Jiaxin Ju; He Zhang 012; Ming Liu 028; Shirui Pan (EMNLP, 2022)

Overview of NLPCC2022 Shared Task 5 Track 2: Named Entity Recognition. - Borui Cai; He Zhang 012; Fenghong Liu 002; Ming Liu 028; Tianrui Zong; Zhe Chen; Yunfeng Li (NLPCC (2), 2022)

Overview of NLPCC2022 Shared Task 5 Track 1: Multi-label Classification for Scientific Literature. - Ming Liu 028; He Zhang 012; Yangjie Tian; Tianrui Zong; Borui Cai; Ruohua Xu; Yunfeng Li (NLPCC (2), 2022)

Demystifying Uneven Vulnerability of Link Stealing Attacks against Graph Neural Networks. - He Zhang 012; Bang Wu; Shuo Wang 012; Xiangwen Yang; Minhui Xue 001; Shirui Pan; Xingliang Yuan (ICML, 2023)

Finding the Missing-half: Graph Complementary Learning for Homophily-prone and Heterophily-prone Graphs. - Yizhen Zheng; He Zhang 012; Vincent Cheng-Siong Lee; Yu Zheng 013; Xiao Wang; Shirui Pan (ICML, 2023)

Temporal Knowledge Graph Completion: A Survey. - Borui Cai; Yong Xiang 001; Longxiang Gao; He Zhang 012; Yunfeng Li; Jianxin Li 001 (IJCAI, 2023)

On the Interaction between Node Fairness and Edge Privacy in Graph Neural Networks. - He Zhang 012; Xingliang Yuan; Quoc Viet Hung Nguyen; Shirui Pan (CoRR, 2023)

Recent Advances in Hierarchical Multi-label Text Classification: A Survey. - Rundong Liu; Wenhan Liang; Weijun Luo; Yuxiang Song; He Zhang 012; Ruohua Xu; Yunfeng Li; Ming Liu 028 (CoRR, 2023)

Projective Ranking-Based GNN Evasion Attacks. - He Zhang 012; Xingliang Yuan; Chuan Zhou 001; Shirui Pan (IEEE Trans. Knowl. Data Eng., 2023)

A survey on fairness-aware recommender systems. - Di Jin 001; Luzhi Wang; He Zhang 012; Yizhen Zheng; Weiping Ding 001; Feng Xia 001; Shirui Pan (Inf. Fusion, 2023)

GOODAT: Towards Test-Time Graph Out-of-Distribution Detection. - Luzhi Wang; Dongxiao He; He Zhang 012; Yixin Liu 001; Wenjie Wang; Shirui Pan; Di Jin 001; Tat-Seng Chua (AAAI, 2024)

Unraveling Privacy Risks of Individual Fairness in Graph Neural Networks. - He Zhang 012; Xingliang Yuan; Shirui Pan (ICDE, 2024)

ICPR 2024 Competition on Multi-line Mathematical Expressions Recognition. - Tianrui Zong; Lin Yang; Wei Luo 001; Wenhao Yu 013; Borui Cai; He Zhang 012; Fenghong Liu 002; Qinqin Yan; Liangcai Gao (ICPR (34), 2024)

GraphGuard: Detecting and Counteracting Training Data Misuse in Graph Neural Networks. - Bang Wu; He Zhang 012; Xiangwen Yang; Shuo Wang 012; Minhui Xue 001; Shirui Pan; Xingliang Yuan (NDSS, 2024)

Overview of the NLPCC2024 Shared Task 6: Scientific Literature Survey Generation. - Yangjie Tian; Xungang Gu; Aijia Li; He Zhang 012; Ruohua Xu; Yunfeng Li; Ming Liu 028 (NLPCC (5), 2024)

Gradient Transformation: Towards Efficient and Model-Agnostic Unlearning for Dynamic Graph Neural Networks. - He Zhang 012; Bang Wu; Xiangwen Yang; Xingliang Yuan; Chengqi Zhang; Shirui Pan (CoRR, 2024)

Trustworthy Graph Neural Networks: Aspects, Methods, and Trends. - He Zhang 012; Bang Wu; Xingliang Yuan; Shirui Pan; Hanghang Tong; Jian Pei 001 (Proc. IEEE, 2024)

From Wide to Deep: Dimension Lifting Network for Parameter-Efficient Knowledge Graph Embedding. - Borui Cai; Yong Xiang 001; Longxiang Gao; Di Wu 050; He Zhang 012; Jiong Jin; Tom H. Luan (IEEE Trans. Knowl. Data Eng., 2024)

Dynamic Graph Unlearning: A General and Efficient Post-Processing Method via Gradient Transformation. - He Zhang 012; Bang Wu; Xiangwen Yang; Xingliang Yuan; Xiaoning Liu 002; Xun Yi (WWW, 2025)

BiMark: Unbiased Multilayer Watermarking for Large Language Models. - Xiaoyan Feng; He Zhang 012; Yanjun Zhang; Leo Yu Zhang; Shirui Pan (CoRR, 2025)