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ORCIDYingshui Tan
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2020 – today
- 2025
[i17]Yingshui Tan, Yilei Jiang, Yanshi Li, Jiaheng Liu, Xingyuan Bu, Wenbo Su, Xiangyu Yue, Xiaoyong Zhu, Bo Zheng:
Equilibrate RLHF: Towards Balancing Helpfulness-Safety Trade-off in Large Language Models. CoRR abs/2502.11555 (2025)- [i16]Jihao Gu, Yingyao Wang, Pi Bu, Chen Wang, Ziming Wang, Tengtao Song, Donglai Wei, Jiale Yuan, Yingxiu Zhao, Yancheng He, Shilong Li, Jiaheng Liu, Meng Cao, Jun Song, Yingshui Tan, Xiang Li, Wenbo Su, Zhicheng Zheng, Xiaoyong Zhu, Bo Zheng:
ChineseSimpleVQA - "See the World, Discover Knowledge": A Chinese Factuality Evaluation for Large Vision Language Models. CoRR abs/2502.11718 (2025) - [i15]Yilei Jiang, Xinyan Gao, Tianshuo Peng, Yingshui Tan, Xiaoyong Zhu, Bo Zheng, Xiangyu Yue:
HiddenDetect: Detecting Jailbreak Attacks against Large Vision-Language Models via Monitoring Hidden States. CoRR abs/2502.14744 (2025) - [i14]Alexander Zhang, Marcus Dong, Jiaheng Liu, Wei Zhang, Yejie Wang, Jian Yang, Ge Zhang, Tianyu Liu, Zhongyuan Peng, Yingshui Tan, Yuanxing Zhang, Zhexu Wang, Weixun Wang, Yancheng He, Ken Deng, Wangchunshu Zhou, Wenhao Huang, Zhaoxiang Zhang:
CodeCriticBench: A Holistic Code Critique Benchmark for Large Language Models. CoRR abs/2502.16614 (2025) - [i13]Jiaheng Liu, Dawei Zhu, Zhiqi Bai, Yancheng He, Huanxuan Liao, Haoran Que, Zekun Wang, Chenchen Zhang, Ge Zhang, Jiebin Zhang, Yuanxing Zhang, Zhuo Chen, Hangyu Guo, Shilong Li, Ziqiang Liu, Yong Shan, Yifan Song, Jiayi Tian, Wenhao Wu, Zhejian Zhou, Ruijie Zhu, Junlan Feng, Yang Gao, Shizhu He, Zhoujun Li, Tianyu Liu, Fanyu Meng, Wenbo Su, Yingshui Tan, Zili Wang, Jian Yang, Wei Ye, Bo Zheng, Wangchunshu Zhou, Wenhao Huang, Sujian Li, Zhaoxiang Zhang:
A Comprehensive Survey on Long Context Language Modeling. CoRR abs/2503.17407 (2025) - 2024
- [i12]Zhendong Liu, Yuanbi Nie, Yingshui Tan, Xiangyu Yue, Qiushi Cui, Chongjun Wang, Xiaoyong Zhu, Bo Zheng:
Safety Alignment for Vision Language Models. CoRR abs/2405.13581 (2024) - [i11]Yanshi Li, Shaopan Xiong, Gengru Chen, Xiaoyang Li, Yijia Luo, Xingyao Zhang, Yanhui Huang, Xingyuan Bu, Yingshui Tan, Chun Yuan, Jiamang Wang, Wenbo Su, Bo Zheng:
Adaptive Dense Reward: Understanding the Gap Between Action and Reward Space in Alignment. CoRR abs/2411.00809 (2024) - [i10]Yancheng He, Shilong Li, Jiaheng Liu, Yingshui Tan, Weixun Wang, Hui Huang, Xingyuan Bu, Hangyu Guo, Chengwei Hu, Boren Zheng, Zhuoran Lin, Xuepeng Liu, Dekai Sun, Shirong Lin, Zhicheng Zheng, Xiaoyong Zhu, Wenbo Su, Bo Zheng:
Chinese SimpleQA: A Chinese Factuality Evaluation for Large Language Models. CoRR abs/2411.07140 (2024) - [i9]Zhendong Liu, Yuanbi Nie, Yingshui Tan, Xiangyu Yue, Qiushi Cui, Chongjun Wang, Xiaoyong Zhu, Bo Zheng:
Enhancing Vision-Language Model Safety through Progressive Concept-Bottleneck-Driven Alignment. CoRR abs/2411.11543 (2024) - [i8]Yingshui Tan, Boren Zheng, Baihui Zheng, Kerui Cao, Huiyun Jing, Jincheng Wei, Jiaheng Liu, Yancheng He, Wenbo Su, Xiangyong Zhu, Bo Zheng, Kaifu Zhang:
Chinese SafetyQA: A Safety Short-form Factuality Benchmark for Large Language Models. CoRR abs/2412.15265 (2024) - [i7]Yilei Jiang, Yingshui Tan, Xiangyu Yue:
RapGuard: Safeguarding Multimodal Large Language Models via Rationale-aware Defensive Prompting. CoRR abs/2412.18826 (2024) - 2021
- [j1]Xuhong Wang
, Baihong Jin, Ying Du, Ping Cui, Yingshui Tan, Yupu Yang:
One-class graph neural networks for anomaly detection in attributed networks. Neural Comput. Appl. 33(18): 12073-12085 (2021) - 2020
- [i6]Baihong Jin, Yingshui Tan, Yuxin Chen, Kameshwar Poolla, Alberto L. Sangiovanni-Vincentelli:
Are Ensemble Classifiers Powerful Enough for the Detection and Diagnosis of Intermediate-Severity Faults? CoRR abs/2007.03167 (2020) - [i5]Yingshui Tan, Baihong Jin, Xiangyu Yue, Yuxin Chen, Alberto L. Sangiovanni-Vincentelli:
Exploiting Uncertainties from Ensemble Learners to Improve Decision-Making in Healthcare AI. CoRR abs/2007.06063 (2020) - [i4]Baihong Jin, Yingshui Tan, Albert Liu, Xiangyu Yue, Yuxin Chen, Alberto L. Sangiovanni-Vincentelli:
Using Ensemble Classifiers to Detect Incipient Anomalies. CoRR abs/2008.08710 (2020) - [i3]Yingshui Tan, Baihong Jin, Qiushi Cui, Xiangyu Yue, Alberto L. Sangiovanni-Vincentelli:
Generalizing Fault Detection Against Domain Shifts Using Stratification-Aware Cross-Validation. CoRR abs/2008.08713 (2020)
2010 – 2019
- 2019
- [c1]Yingshui Tan, Baihong Jin, Alexander J. Nettekoven, Yuxin Chen, Yisong Yue, Ufuk Topcu, Alberto L. Sangiovanni-Vincentelli:
An Encoder-Decoder Based Approach for Anomaly Detection with Application in Additive Manufacturing. ICMLA 2019: 1008-1015 - [i2]Baihong Jin, Yingshui Tan, Alexander J. Nettekoven, Yuxin Chen, Ufuk Topcu, Yisong Yue, Alberto L. Sangiovanni-Vincentelli:
An Encoder-Decoder Based Approach for Anomaly Detection with Application in Additive Manufacturing. CoRR abs/1907.11778 (2019) - [i1]Baihong Jin, Yingshui Tan, Yuxin Chen, Alberto L. Sangiovanni-Vincentelli:
Augmenting Monte Carlo Dropout Classification Models with Unsupervised Learning Tasks for Detecting and Diagnosing Out-of-Distribution Faults. CoRR abs/1909.04202 (2019)
Coauthor Index
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last updated on 2025-04-20 23:52 CEST by the dblp team
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