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Publications
AdaRoPE: Not All Attention Heads Should Rotate and Scale Equally
[paper][cite]
Shaowen Wang*, Yuke Zheng*, Tansheng Zhu*, Shuang Chen*, Shaofan Liu, Suncong Zheng, Jian Li
ICML 2026.
@inproceedings{wang2026adarope,
title = {{AdaRoPE}: Not All Attention Heads Should Rotate and Scale Equally},
author = {Shaowen Wang and Yuke Zheng and Tansheng Zhu and Shuang Chen and Shaofan Liu and Suncong Zheng and Jian Li},
year = {2026},
booktitle = {Forty-third International Conference on Machine Learning},
url = {https://openreview.net/forum?id=xNuMtLaxo5}
}
When Bias Pretends to Be Truth: How Spurious Correlations Undermine Hallucination Detection in LLMs
[paper][arxiv][cite]
Shaowen Wang*, Yiqi Dong*, Ruinian Chang*, Tansheng Zhu*, Yuebo Sun, Kaifeng Lyu, Jian Li
ICLR 2026 Workshop on Principled Design for Trustworthy AI.
@inproceedings{wang2026when,
title = {When Bias Pretends to Be Truth: How Spurious Correlations Undermine Hallucination Detection in {LLM}s},
author = {Shaowen Wang and Yiqi Dong and Ruinian Chang and Tansheng Zhu and Yuebo Sun and Kaifeng Lyu and Jian Li},
year = {2026},
booktitle = {ICLR 2026 Workshop on Principled Design for Trustworthy AI - Interpretability, Robustness, and Safety across Modalities},
url = {https://openreview.net/forum?id=qveA6K5CLU}
}
Bayesian Optimization by Kernel Regression and Density-based Exploration
[paper][arxiv][cite]
Tansheng Zhu, Hongyu Zhou, Ke Jin, Xusheng Xu, Qiufan Yuan, Lijie Ji
Computational Optimization and Applications, 2026.
@article{zhu2026bayesian,
title = {{B}ayesian Optimization by Kernel Regression and Density-based Exploration},
author = {Tansheng Zhu and Hongyu Zhou and Ke Jin and Xusheng Xu and Qiufan Yuan and Lijie Ji},
year = {2026},
journal = {Computational Optimization and Applications},
publisher = {Springer Nature},
doi = {10.1007/s10589-026-00808-x},
url = {https://doi.org/10.1007/s10589-026-00808-x}
}
@misc{zhu2025bayesian,
title = {{B}ayesian Optimization by Kernel Regression and Density-based Exploration},
author = {Tansheng Zhu and Hongyu Zhou and Ke Jin and Xusheng Xu and Qiufan Yuan and Lijie Ji},
year = {2025},
url = {https://arxiv.org/abs/2502.06178},
eprint = {2502.06178},
archiveprefix = {arXiv},
primaryclass = {math.OC}
}
Bayesian-Optimized Progressive Widening via Kernel Regression for Monte Carlo Tree Search in Continuous Action Spaces
[paper][cite]
Ke Jin, Tansheng Zhu, Hongyu Zhou, Xusheng Xu, Qiufan Yuan, Lijie Ji
23rd IFAC Symposium on Automatic Control in Aerospace (ACA 2025).
@article{jin2025bayesian,
title = {{B}ayesian-Optimized Progressive Widening via Kernel Regression for {M}onte {C}arlo Tree Search in Continuous Action Spaces},
author = {Ke Jin and Tansheng Zhu and Hongyu Zhou and Xusheng Xu and Qiufan Yuan and Lijie Ji},
year = {2025},
journal = {IFAC-PapersOnLine},
publisher = {Elsevier},
volume = {59},
number = {20},
pages = {1291--1296},
doi = {10.1016/j.ifacol.2025.11.334},
note = {23rd IFAC Symposium on Automatic Control in Aerospace (ACA 2025)}
}
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