77 citations · 133 across the 12 of their papers we have counts for
12 papers
A Cyclic Adaptation-Generalization Framework with Uncertainty-Guided Self-Paced Learning for Long-Term Brain-Machine Interfaces
Jiyu Wei, Di Hong, Zhanjie Zhang +3
Brain-Machine Interfaces (BMIs), which link the brain to external devices, hold great potential in rehabilitation, human performance augmentation, and human-centered robotics. Howe…
Self-Supervised Consistency Enhanced Disentangled Learning for Neural Decoding Generalization in Brain-Machine Interface
Jiyu Wei, Di Hong, Zhanjie Zhang +3
Brain-Machine Interfaces (BMIs) provide a direct communication pathway between the brain and external devices, enabling humans to control assistive and robotic technologies, with p…
Cross-Modal Alignment between Visual Stimuli and Neural Responses in the Visual Cortex
Xing Gao, Dazhong Rong, Qinming He
Investigating the mapping between visual stimuli and neural responses in the visual cortex contributes to a deeper understanding of biological visual processing mechanisms. Most ex…
Improving Unsupervised Task-driven Models of Ventral Visual Stream via Relative Position Predictivity
Dazhong Rong, Hao Dong, Xing Gao +5
Based on the concept that ventral visual stream (VVS) mainly functions for object recognition, current unsupervised task-driven methods model VVS by contrastive learning, and have…
Preventing the Popular Item Embedding Based Attack in Federated Recommendations
Jun Zhang, Huan Li, Dazhong Rong +3
Privacy concerns have led to the rise of federated recommender systems (FRS), which can create personalized models across distributed clients. However, FRS is vulnerable to poisoni…
Blockchain-based Federated Recommendation with Incentive Mechanism
Jianhai Chen, Yanlin Wu, Dazhong Rong +5
Nowadays, federated recommendation technology is rapidly evolving to help multiple organisations share data and train models while meeting user privacy, data security and governmen…
Speed-enhanced Subdomain Adaptation Regression for Long-term Stable Neural Decoding in Brain-computer Interfaces
Jiyu Wei, Dazhong Rong, Xinyun Zhu +2
Brain-computer interfaces (BCIs) offer a means to convert neural signals into control signals, providing a potential restoration of movement for people with paralysis. Despite thei…
Clean-image Backdoor Attacks
Dazhong Rong, Guoyao Yu, Shuheng Shen +6
To gather a significant quantity of annotated training data for high-performance image classification models, numerous companies opt to enlist third-party providers to label their…
MuFuzz: Sequence-Aware Mutation and Seed Mask Guidance for Blockchain Smart Contract Fuzzing
Peng Qian, Hanjie Wu, Zeren Du +7
As blockchain smart contracts become more widespread and carry more valuable digital assets, they become an increasingly attractive target for attackers. Over the past few years, s…
CoMeta: Enhancing Meta Embeddings with Collaborative Information in Cold-start Problem of Recommendation
Haonan Hu, Dazhong Rong, Jianhai Chen +2
The cold-start problem is quite challenging for existing recommendation models. Specifically, for the new items with only a few interactions, their ID embeddings are trained inadeq…
Poisoning Deep Learning Based Recommender Model in Federated Learning Scenarios
Dazhong Rong, Qinming He, Jianhai Chen
Various attack methods against recommender systems have been proposed in the past years, and the security issues of recommender systems have drawn considerable attention. Tradition…
FedRecAttack: Model Poisoning Attack to Federated Recommendation
Dazhong Rong, Shuai Ye, Ruoyan Zhao +3
Federated Recommendation (FR) has received considerable popularity and attention in the past few years. In FR, for each user, its feature vector and interaction data are kept local…