YX
Yue Xing
cs.LGstat.MLcs.CRcs.AIcs.CLcs.CVcs.GRstat.AP
On Valency
published · living versionsW_y6sxdjsj·v1 · currentpublished
Preprints & journals
29 papers in the corpus · 2018–2026Divergence based Ranked Preference Alignment for LLMs2610.25588v1 · Rajdeep Haldar, Yue Xing, Qifan Song2026 · 0 citationsarXivon Valency
ScribbleEdit: A Benchmark for Scribble-Only Image Editing2610.09382v1 · Jie Ren, Hao Kang, Kai Guo et al.2026 · 0 citationsarXiv
Detecting Unseen Jailbreak Sources: A Multi-Source Conformal Detection Perspective2610.09167v1 · Xunlei Qian, Yingqian Cui, Yuping Lin et al.2026 · 0 citationsarXiv
How Do Latent Reasoning Methods Perform Under Weak and Strong Supervision?2602.22441v1 · Yingqian Cui, Zhenwei Dai, Bing He et al.2026 · 0 citationsarXiv
Impact of Positional Encoding: Clean and Adversarial Rademacher Complexity for Transformers under In-Context Regression2512.09275v2 · Weiyi He, Yue Xing2025 · 0 citationsarXiv
PEAR: Planner-Executor Agent Robustness Benchmark2510.07505v4 · Shen Dong, Mingxuan Zhang, Pengfei He et al.2025 · 0 citationsarXiv
Adaptive Test-Time Reasoning via Reward-Guided Dual-Phase Search2509.25420v1 · Yingqian Cui, Zhenwei Dai, Pengfei He et al.2025 · 0 citationsarXiv
Comprehensive Vulnerability Analysis is Necessary for Trustworthy LLM-MAS2506.01245v3 · Pengfei He, Yue Xing, Juanhui Li et al.2025 · 1 citationarXiv
Multi-Faceted Studies on Data Poisoning can Advance LLM Development2502.14182v1 · Pengfei He, Yue Xing, Han Xu et al.2025 · 0 citationsarXiv
Red-Teaming LLM Multi-Agent Systems via Communication Attacks2502.14847v2 · Pengfei He, Yupin Lin, Shen Dong et al.2025 · 15 citationsarXiv
Unveiling Privacy Risks in LLM Agent Memory2502.13172v2 · Bo Wang, Weiyi He, Shenglai Zeng et al.2025 · 23 citationsarXiv
A Theoretical Understanding of Chain-of-Thought: Coherent Reasoning and Error-Aware Demonstration2410.16540v1 · Yingqian Cui, Pengfei He, Xianfeng Tang et al.2024 · 3 citationsarXiv
Make LLMs better zero-shot reasoners: Structure-orientated autonomous reasoning2410.19000v1 · Pengfei He, Zitao Li, Yue Xing et al.2024 · 1 citationarXiv
Towards the Effect of Examples on In-Context Learning: A Theoretical Case Study2410.09411v2 · Pengfei He, Yingqian Cui, Han Xu et al.2024 · 1 citationarXiv
Mitigating the Privacy Issues in Retrieval-Augmented Generation (RAG) via Pure Synthetic Data2406.14773v2 · Shenglai Zeng, Jiankun Zhang, Pengfei He et al.2024 · 27 citationsarXiv
Unveiling and Mitigating Memorization in Text-to-image Diffusion Models through Cross Attention2403.11052v2 · Jie Ren, Yaxin Li, Shenglai Zeng et al.2024 · 10 citationsarXiv
The Good and The Bad: Exploring Privacy Issues in Retrieval-Augmented Generation (RAG)2402.16893v1 · Shenglai Zeng, Jiankun Zhang, Pengfei He et al.2024 · 110 citationsarXiv
Data Poisoning for In-context Learning2402.02160v3 · Pengfei He, Han Xu, Yue Xing et al.2024 · 6 citationsarXiv
Theoretical Understanding of In-Context Learning in Shallow Transformers with Unstructured Data2402.00743v2 · Yue Xing, Xiaofeng Lin, Chenheng Xu et al.2024 · 0 citationsarXiv
Superiority of Multi-Head Attention in In-Context Linear Regression2401.17426v1 · Yingqian Cui, Jie Ren, Pengfei He et al.2024 · 2 citationsarXiv
Better Representations via Adversarial Training in Pre-Training: A Theoretical Perspective2401.15248v1 · Yue Xing, Xiaofeng Lin, Qifan Song et al.2024 · 0 citationsarXiv
Adversarial Training with Generated Data in High-Dimensional Regression: An Asymptotic Study2306.12582v1 · Yue Xing2023 · 0 citationsarXiv
Unlabeled Data Help: Minimax Analysis and Adversarial Robustness2202.06996v1 · Yue Xing, Qifan Song, Guang Cheng2022 · 1 citationarXiv
Adversarially Robust Estimate and Risk Analysis in Linear Regression2012.10278v1 · Yue Xing, Ruizhi Zhang, Guang Cheng2020 · 4 citationsarXiv
On the Generalization Properties of Adversarial Training2008.06631v2 · Yue Xing, Qifan Song, Guang Cheng2020 · 18 citationsarXiv
Directional Pruning of Deep Neural Networks2006.09358v2 · Shih-Kang Chao, Zhanyu Wang, Yue Xing et al.2020 · 25 citationsarXiv
Predictive Power of Nearest Neighbors Algorithm under Random Perturbation2002.05304v1 · Yue Xing, Qifan Song, Guang Cheng2020 · 3 citationsarXiv
Benefit of Interpolation in Nearest Neighbor Algorithms1909.11720v1 · Yue Xing, Qifan Song, Guang Cheng2019 · 44 citationsarXiv
Statistical Optimality of Interpolated Nearest Neighbor Algorithms1810.02814v2 · Yue Xing, Qifan Song, Guang Cheng2018 · 7 citationsarXiv
Career total: 43 works. 29 are in this corpus.
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