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Yue Xing

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

33

Venues

13

Active years

2018–2026

Best venue rank

A*

Where they publish

Papers

33 indexed papers, newest first.

YearVenueTitleAuthors
2026ACLA Reward-Guided Dual-Phase Framework for Adaptive Inference-Time Reasoning.Yingqian Cui, Zhenwei Dai, Pengfei He, Bing He, Hui Liu, Zhan Shi, Xianfeng Tang, Jingying Zeng, Suhang Wang, Yue Xing, Jiliang Tang, Benoit Dumoulin
2026ACLRetrieval Heads are Dynamic.Yuping Lin, Zitao Li, Yue Xing, Pengfei He, Yingqian Cui, Yaliang Li, Bolin Ding, Jingren Zhou, Jiliang Tang
2026EACLPEAR: Planner-Executor Agent Robustness Benchmark.Shen Dong, Mingxuan Zhang, Pengfei He, Li Ma, Bhavani Thuraisingham, Hui Liu, Yue Xing
2026ISCASEnhancing SPAD HDR Imaging via Cross-Modality Frequency-Spatial Fusion.Yuhe Chen, Yunhui Zeng, Yue Xing, Xin Jin
2025ACLA General Framework to Enhance Fine-tuning-based LLM Unlearning.Jie Ren, Zhenwei Dai, Xianfeng Tang, Hui Liu, Jingying Zeng, Zhen Li, Rahul Goutam, Suhang Wang, Yue Xing, Qi He, Hui Liu
2025ACLUnveiling Privacy Risks in LLM Agent Memory.Bo Wang, Weiyi He, Shenglai Zeng, Zhen Xiang, Yue Xing, Jiliang Tang, Pengfei He
2025ACLStepwise Perplexity-Guided Refinement for Efficient Chain-of-Thought Reasoning in Large Language Models.Yingqian Cui, Pengfei He, Jingying Zeng, Hui Liu, Xianfeng Tang, Zhenwei Dai, Yan Han, Chen Luo, Jing Huang, Zhen Li, Suhang Wang, Yue Xing, Jiliang Tang, Qi He
2025ACLRed-Teaming LLM Multi-Agent Systems via Communication Attacks.Pengfei He, Yuping Lin, Shen Dong, Han Xu, Yue Xing, Hui Liu
2025ACLTowards Context-Robust LLMs: A Gated Representation Fine-tuning Approach.Shenglai Zeng, Pengfei He, Kai Guo, Tianqi Zheng, Hanqing Lu, Yue Xing, Hui Liu
2025AISTATSA Theoretical Understanding of Chain-of-Thought: Coherent Reasoning and Error-Aware Demonstration.Yingqian Cui, Pengfei He, Xianfeng Tang, Qi He, Chen Luo, Jiliang Tang, Yue Xing
2025AISTATSSuperiority of Multi-Head Attention: A Theoretical Study in Shallow Transformers in In-Context Linear Regression.Yingqian Cui, Jie Ren, Pengfei He, Hui Liu, Jiliang Tang, Yue Xing
2025AISTATSAdversarial Training in High-Dimensional Regression: Generated Data and Neural Networks.Yue Xing
2025CVPRSix-CD: Benchmarking Concept Removals for Text-to-image Diffusion Models.Jie Ren, Kangrui Chen, Yingqian Cui, Shenglai Zeng, Hui Liu, Yue Xing, Jiliang Tang, Lingjuan Lyu
2025EMNLPAdvancing Reasoning with Off-the-Shelf LLMs: A Semantic Structure Perspective.Pengfei He, Zitao Li, Yue Xing, Yaliang Li, Jiliang Tang, Bolin Ding
2025EMNLPMitigating the Privacy Issues in Retrieval-Augmented Generation (RAG) via Pure Synthetic Data.Shenglai Zeng, Jiankun Zhang, Pengfei He, Jie Ren, Tianqi Zheng, Hanqing Lu, Han Xu, Hui Liu, Yue Xing, Jiliang Tang
2025NAACLData Poisoning for In-context Learning.Pengfei He, Han Xu, Yue Xing, Hui Liu, Makoto Yamada, Jiliang Tang
2025NAACLTowards Knowledge Checking in Retrieval-augmented Generation: A Representation Perspective.Shenglai Zeng, Jiankun Zhang, Bingheng Li, Yuping Lin, Tianqi Zheng, Dante Everaert, Hanqing Lu, Hui Liu, Hui Liu, Yue Xing, Monica Xiao Cheng, Jiliang Tang
2025WWWSelf-Comparison for Dataset-Level Membership Inference in Large (Vision-)Language Model.Jie Ren, Kangrui Chen, Chen Chen, Vikash Sehwag, Yue Xing, Jiliang Tang, Lingjuan Lyu
2024ACLExploring Memorization in Fine-tuned Language Models.Shenglai Zeng, Yaxin Li, Jie Ren, Yiding Liu, Han Xu, Pengfei He, Yue Xing, Shuaiqiang Wang, Jiliang Tang, Dawei Yin
2024ACLThe Good and The Bad: Exploring Privacy Issues in Retrieval-Augmented Generation (RAG).Shenglai Zeng, Jiankun Zhang, Pengfei He, Yiding Liu, Yue Xing, Han Xu, Jie Ren, Yi Chang, Shuaiqiang Wang, Dawei Yin, Jiliang Tang
2024AISTATSBetter Representations via Adversarial Training in Pre-Training: A Theoretical Perspective.Yue Xing, Xiaofeng Lin, Qifan Song, Yi Xu, Belinda Zeng, Guang Cheng
2024AISTATSEffect of Ambient-Intrinsic Dimension Gap on Adversarial Vulnerability.Rajdeep Haldar, Yue Xing, Qifan Song
2024ECCVUnveiling and Mitigating Memorization in Text-to-Image Diffusion Models Through Cross Attention.Jie Ren, Yaxin Li, Shenglai Zeng, Han Xu, Lingjuan Lyu, Yue Xing, Jiliang Tang
2024EMNLPTowards Understanding Jailbreak Attacks in LLMs: A Representation Space Analysis.Yuping Lin, Pengfei He, Han Xu, Yue Xing, Makoto Yamada, Hui Liu, Jiliang Tang
2022AISTATSUnlabeled Data Help: Minimax Analysis and Adversarial Robustness.Yue Xing, Qifan Song, Guang Cheng
2022ASPDACGeneralizing Tandem Simulation: Connecting High-level and RTL Simulation Models.Yue Xing, Aarti Gupta, Sharad Malik
2022ICCADCompositional Verification Using a Formal Component and Interface Specification.Yue Xing, Huaixi Lu, Aarti Gupta, Sharad Malik
2021AISTATSPredictive Power of Nearest Neighbors Algorithm under Random Perturbation.Yue Xing, Qifan Song, Guang Cheng
2021AISTATSOn the Generalization Properties of Adversarial Training.Yue Xing, Qifan Song, Guang Cheng
2021AISTATSAdversarially Robust Estimate and Risk Analysis in Linear Regression.Yue Xing, Ruizhi Zhang, Guang Cheng
2021DATELeveraging Processor Modeling and Verification for General Hardware Modules.Yue Xing, Huaixi Lu, Aarti Gupta, Sharad Malik
2019ICIGFU-Net: Multi-class Image Segmentation Using Feedback Weighted U-Net.Mina Jafari, Ruizhe Li, Yue Xing, Dorothee Auer, Susan T. Francis, Jonathan M. Garibaldi, Xin Chen
2018ICCADA formal instruction-level GPU model for scalable verification.Yue Xing, Bo-Yuan Huang, Aarti Gupta, Sharad Malik