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Shengtao Wen
Observed name:
Wen, Shengtao
Institution:
Nanjing University of Aeronautics and Astronautics
Observed institutions:
Lanzhou University of Technology,
Chinese People's Liberation Army,
Nanjing University of Aeronautics and Astronautics
OpenAlex ID:
A5112950235
Joint Radar-Communication Optimization of Distributed Airborne Radar for AOA Localization
2023
·
Gangsong Ding
, Qinhao Wu
, et al.
·
Applied Sciences
·
1
PDF
Decoupling Knowledge Forgetting and Refusal Learning in MLLM Unlearning
2026
·
Chen, Haodong
, Wen, Shengtao
, et al.
·
arXiv (Cornell University)
PDF
Mind the Execution Gap: Action-Semantic Mismatch in World-Model Control
2026
·
Wen, Shengtao
, Chen, Xiang
, et al.
·
arXiv (Cornell University)
PDF
Decoupling Knowledge and Privacy: Post-Task Self-Distillation Replay for LLM Continual Learning
2026
·
Wen, Shengtao
, Yang, Yunying
, et al.
·
arXiv (Cornell University)
PDF
Knowing but Not Saying: Preventing Factual Access Failures in LLM SFT via Recall-Anchored Distillation
2026
·
Chen, Haodong
, Wang, Yadong
, et al.
·
arXiv (Cornell University)
PDF
When Entropy Is Not Enough: Reclaiming Lost Semantics in LLM Output Length Prediction
2026
·
Ren, Feiyang
, Wen, Shengtao
, et al.
·
arXiv (Cornell University)
PDF
VARM-Bench: Benchmarking Verifiable Structured Reasoning in Chinese Abusive Speech Moderation
2026
·
Yuan, Mingyu
, Wen, Shengtao
, et al.
·
arXiv (Cornell University)
PDF
MultiMedBench: A Scenario-Aware Benchmark for Evaluating Knowledge Editing in Medical VQA
2026
·
Shengtao Wen
, Haodong Chen
, et al.
·
Proceedings of the AAAI Conference on Artificial Intelligence
291 - MultiMedBench: A Scenario-Aware Benchmark for Evaluating Knowledge Editing in Medical VQA
2026
·
Association for Artificial Intelligence 2026
, Chen, Haodong
, et al.
·
Underline Science Inc.
MultiMedBench: A Scenario-Aware Benchmark for Evaluating Knowledge Editing in Medical VQA
2026
·
Association for Artificial Intelligence 2026
, Chen, Haodong
, et al.
·
Underline Science Inc.
Enhanced GRU Model for Predicting Heterogeneous Machine Resource Usage in Cloud Data Centers
2025
·
Sishuai Li
, Guanyu Sun
, et al.
·
IEEE International Conference on Information Systems and Computer Aided Education (ICISCAE)
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Works count:
11
Citation count:
1
H-index:
1
I10-index:
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