Hongwei Zheng
Orcid: 0000-0003-4293-0807Affiliations:
- Beijing Academy of Blockchain and Edge Computing (BABEC), Beijing, China
- Guangzhou University, Institute of Artificial Intelligence and Blockchain, Guangzhou, China
According to our database1,
Hongwei Zheng authored at least 34 papers
between 2020 and 2026.
Collaborative distances:
Collaborative distances:
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Bibliography
2026
Replacing Parameters with Preferences: Federated Alignment of Heterogeneous Vision-Language Models.
CoRR, May, 2026
HalluSAE: Detecting Hallucinations in Large Language Models via Sparse Auto-Encoders.
CoRR, April, 2026
CoRR, March, 2026
CoRR, March, 2026
Stable-RAG: Mitigating Retrieval-Permutation-Induced Hallucinations in Retrieval-Augmented Generation.
CoRR, January, 2026
CodeBC: A more secure large language model for smart contract code generation in blockchain.
Neurocomputing, 2026
Entropy-optimized contrastive decoding for hallucination suppression in vision-language-action models.
Neurocomputing, 2026
Less is More: Compact Clue Selection for Efficient Retrieval-Augmented Generation Reasoning.
Proceedings of the ACM Web Conference 2026, 2026
2025
CoRR, September, 2025
HyFedRAG: A Federated Retrieval-Augmented Generation Framework for Heterogeneous and Privacy-Sensitive Data.
CoRR, September, 2025
Exploring AIoT Blockchain Transaction Semantic Detection and Incentive Mechanism With Evolutionary Game Toward Web 3.0 Ecosystem.
IEEE Internet Things J., August, 2025
Learning to Erase Private Knowledge from Multi-Documents for Retrieval-Augmented Large Language Models.
CoRR, April, 2025
FineFilter: A Fine-grained Noise Filtering Mechanism for Retrieval-Augmented Large Language Models.
CoRR, February, 2025
Bc²FL: Double-Layer Blockchain-Driven Federated Learning Framework for Agricultural IoT.
IEEE Internet Things J., 2025
Sci. China Inf. Sci., 2025
ContribChain: A Stress-Balanced Blockchain Sharding Protocol with Node Contribution Awareness.
Proceedings of the IEEE INFOCOM 2025, 2025
Know Your Account: Double Graph Inference-Based Account De-Anonymization on Ethereum.
Proceedings of the 41st IEEE International Conference on Data Engineering, 2025
MaFeRw: Query Rewriting with Multi-Aspect Feedbacks for Retrieval-Augmented Large Language Models.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025
2024
IEEE Trans. Knowl. Data Eng., November, 2024
NeuroImage, 2024
AdaComp: Extractive Context Compression with Adaptive Predictor for Retrieval-Augmented Large Language Models.
CoRR, 2024
Safely Learning with Private Data: A Federated Learning Framework for Large Language Model.
CoRR, 2024
Proceedings of the 23rd IEEE International Conference on Trust, 2024
Enhanced Object Detection Method with Decoupled Direction Prediction and Fusion Strategy.
Proceedings of the International Joint Conference on Neural Networks, 2024
Safely Learning with Private Data: A Federated Learning Framework for Large Language Model.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
MTEC: A Multi-tier Blockchain Storage Framework Using Erasure Coding for IoT Application.
Proceedings of the Web and Big Data - 8th International Joint Conference, 2024
2023
Bidirectional supervision: An effective method to suppress corruption and defection under the third party punishment mechanism of donation games.
Appl. Math. Comput., August, 2023
Noise improves the association between effects of local stimulation and structural degree of brain networks.
PLoS Comput. Biol., 2023
CAMUS: Attribute-Aware Counterfactual Augmentation for Minority Users in Recommendation.
Proceedings of the ACM Web Conference 2023, 2023
2022
Entropy, 2022
Expertise diversity of teams predicts originality and long-term impact in science and technology.
CoRR, 2022
2020
Proceedings of the BSCI '20: Proceedings of the 2nd ACM International Symposium on Blockchain and Secure Critical Infrastructure, 2020