Hongwei Zheng

Orcid: 0000-0003-4293-0807

Affiliations:
  • 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:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

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

Z-Erase: Enabling Concept Erasure in Single-Stream Diffusion Transformers.
CoRR, March, 2026

Lyapunov Probes for Hallucination Detection in Large Foundation Models.
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
Toward a Realistic Encoding Model of Auditory Affective Understanding in the Brain.
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

Gender and racial diversity socialization in science.
Nat. Comput. Sci., June, 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

Agent4Vul: multimodal LLM agents for smart contract vulnerability detection.
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
Temporal Knowledge Graph Reasoning With Dynamic Memory Enhancement.
IEEE Trans. Knowl. Data Eng., November, 2024

The heritability and structural correlates of resting-state fMRI complexity.
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

TierFlow: A Pipelined Layered BFT Consensus Protocol for Large-Scale Blockchain.
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
Local-Forest Method for Superspreaders Identification in Online Social Networks.
Entropy, 2022

Expertise diversity of teams predicts originality and long-term impact in science and technology.
CoRR, 2022

2020
Community detection based on first passage probabilities.
CoRR, 2020

An Assessment Framework for Distributed Ledger Technology in Financial Application.
Proceedings of the BSCI '20: Proceedings of the 2nd ACM International Symposium on Blockchain and Secure Critical Infrastructure, 2020


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