Hainan Zhang
Orcid: 0000-0002-7560-1500Affiliations:
- Beihang University, School of Aritificial Intelligence, Beijing Advanced Innovation Center for Future Blockchain and Privacy Computing, Beijing, China
- JD.com, Beijing, China (former)
- Chinese Academy of Sciences, Institute of Computing Technology, Beijing, China (PhD 2019)
According to our database1,
Hainan Zhang authored at least 47 papers
between 2017 and 2026.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2026
Replacing Parameters with Preferences: Federated Alignment of Heterogeneous Vision-Language Models.
CoRR, May, 2026
Taming Noise-Induced Prototype Degradation for Privacy-Preserving Personalized Federated Fine-Tuning.
CoRR, April, 2026
Mask-Free Privacy Extraction and Rewriting: A Domain-Aware Approach via Prototype Learning.
CoRR, April, 2026
CoRR, March, 2026
From Unfamiliar to Familiar: Detecting Pre-training Data via Gradient Deviations in Large Language Models.
CoRR, March, 2026
CoRR, February, 2026
CodeBC: A more secure large language model for smart contract code generation in blockchain.
Neurocomputing, 2026
Less is More: Compact Clue Selection for Efficient Retrieval-Augmented Generation Reasoning.
Proceedings of the ACM Web Conference 2026, 2026
Stable-RAG: Mitigating Retrieval-Permutation-Induced Hallucinations in Retrieval-Augmented Generation.
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026
FedSEA-LLaMA: A Secure, Efficient and Adaptive Federated Splitting Framework for Large Language Models.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026
2025
CoRR, November, 2025
CoRR, October, 2025
CoRR, October, 2025
Can Synthetic Query Rewrites Capture User Intent Better than Humans in Retrieval-Augmented Generation?
CoRR, September, 2025
HyFedRAG: A Federated Retrieval-Augmented Generation Framework for Heterogeneous and Privacy-Sensitive Data.
CoRR, September, 2025
Privacy-Preserving Reasoning with Knowledge-Distilled Parametric Retrieval Augmented Generation.
CoRR, September, 2025
CoRR, May, 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
Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025
Beyond the Surface: A Solution-Aware Retrieval Model for Competition-level Code Generation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025
Detecting Stealthy Backdoor Samples based on Intra-class Distance for Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025
Defending Against Sophisticated Poisoning Attacks with RL-based Aggregation in Federated Learning.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 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
High-Fidelity Polarimetric Implicit 3D Reconstruction with View-Dependent Physical Representation.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025
2024
Debiasing Counterfactual Context With Causal Inference for Multi-Turn Dialogue Reasoning.
IEEE ACM Trans. Audio Speech Lang. Process., 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
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
2023
HiBERT: Detecting the illogical patterns with hierarchical BERT for multi-turn dialogue reasoning.
Neurocomputing, March, 2023
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: EMNLP 2023, 2023
2022
From spoken dialogue to formal summary: An utterance rewriting for dialogue summarization.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021
CoLV: A Collaborative Latent Variable Model for Knowledge-Grounded Dialogue Generation.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020
2019
ReCoSa: Detecting the Relevant Contexts with Self-Attention for Multi-turn Dialogue Generation.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019
2018
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018
2017
Neural or Statistical: An Empirical Study on Language Models for Chinese Input Recommendation on Mobile.
Proceedings of the Information Retrieval - 23rd China conference, 2017