Study on FOA_BP remote sepsis diagnosis based on wireless sensor network. - Yuxi Xie; Junwei Zhang; Yonggui He; Aibin Cheng; Qinan Yin (J. Intell. Fuzzy Syst., 2016)

Study on medical image enhancement based on IFOA improved grayscale image adaptive enhancement. - Yuxi Xie; Yonggui He; Aibin Cheng; Junwei Zhang (Multim. Tools Appl., 2016)

Accurate Identification of Internet Video Traffic Using Byte Code Distribution Features. - Yuxi Xie; Hanbo Deng; Lizhi Peng; Zhenxiang Chen (ICA3PP (1), 2018)

Imbalanced Data Gravitation Classification Model Using For Internet Video Traffic Identification. - Anqi Teng; Lizhi Peng; Yuxi Xie; Haibo Zhang 001; Zhenxiang Chen (BigDataSecurity/HPSC/IDS, 2019)

A Sketch-Based System for Semantic Parsing. - Zechang Li; Yuxuan Lai; Yuxi Xie; Yansong Feng 002; Dongyan Zhao 001 (NLPCC (2), 2019)

Generative learning for imbalanced data using the Gaussian mixed model. - Yuxi Xie; Lizhi Peng; Zhenxiang Chen; Bo Yang 001; Hongli Zhang 001; Haibo Zhang 001 (Appl. Soft Comput., 2019)

Semantic Graphs for Generating Deep Questions. - Liangming Pan; Yuxi Xie; Yansong Feng 002; Tat-Seng Chua; Min-Yen Kan (ACL, 2020)

Exploring Question-Specific Rewards for Generating Deep Questions. - Yuxi Xie; Liangming Pan; Dongzhe Wang; Min-Yen Kan; Yansong Feng 002 (COLING, 2020)

Gradient descent evolved imbalanced data gravitation classification with an application on Internet video traffic identification. - Anqi Teng; Lizhi Peng; Yuxi Xie; Haibo Zhang 001; Zhenxiang Chen (Inf. Sci., 2020)

CanvasEmb: Learning Layout Representation with Large-scale Pre-training for Graphic Design. - Yuxi Xie; Danqing Huang; Jinpeng Wang 001; Chin-Yew Lin (ACM Multimedia, 2021)

An adhesive Gurtin-Murdoch surface hydrodynamics theory of moving contact line and modeling of droplet wettability on soft substrates. - Yuxi Xie; Shaofan Li; Xuan Hu; Dana Bishara (J. Comput. Phys., 2022)

Gaussian Distribution Based Oversampling for Imbalanced Data Classification. - Yuxi Xie; Min Qiu; Haibo Zhang 001; Lizhi Peng; Zhenxiang Chen (IEEE Trans. Knowl. Data Eng., 2022)

ECHo: A Visio-Linguistic Dataset for Event Causality Inference via Human-Centric Reasoning. - Yuxi Xie; Guanzhen Li; Min-Yen Kan (EMNLP (Findings), 2023)

Automatic Model Selection with Large Language Models for Reasoning. - James Xu Zhao; Yuxi Xie; Kenji Kawaguchi; Junxian He; Michael Qizhe Xie (EMNLP (Findings), 2023)

Self-Evaluation Guided Beam Search for Reasoning. - Yuxi Xie; Kenji Kawaguchi; Yiran Zhao 006; James Xu Zhao; Min-Yen Kan; Junxian He; Michael Qizhe Xie (NeurIPS, 2023)

Decomposition Enhances Reasoning via Self-Evaluation Guided Decoding. - Yuxi Xie; Kenji Kawaguchi; Yiran Zhao 006; Xu Zhao; Min-Yen Kan; Junxian He; Qizhe Xie (CoRR, 2023)

Automatic Model Selection with Large Language Models for Reasoning. - Xu Zhao; Yuxi Xie; Kenji Kawaguchi; Junxian He; Qizhe Xie (CoRR, 2023)

ECHo: Event Causality Inference via Human-centric Reasoning. - Yuxi Xie; Guanzhen Li; Min-Yen Kan (CoRR, 2023)

InstructCoder: Empowering Language Models for Code Editing. - Qisheng Hu; Kaixin Li; Xu Zhao; Yuxi Xie; Tiedong Liu; Hui Chen; Qizhe Xie; Junxian He (CoRR, 2023)

Prompt Optimization via Adversarial In-Context Learning. - Xuan Long Do; Yiran Zhao 006; Hannah Brown; Yuxi Xie; James Xu Zhao; Nancy F. Chen; Kenji Kawaguchi; Michael Qizhe Xie; Junxian He (CoRR, 2023)

InstructCoder: Instruction Tuning Large Language Models for Code Editing. - Kaixin Li; Qisheng Hu; James Xu Zhao; Hui Chen; Yuxi Xie; Tiedong Liu; Michael Shieh; Junxian He (ACL (Student Research Workshop), 2024)

Prompt Optimization via Adversarial In-Context Learning. - Do Xuan Long; Yiran Zhao 006; Hannah Brown; Yuxi Xie; James Xu Zhao; Nancy F. Chen; Kenji Kawaguchi; Michael Shieh; Junxian He (ACL (1), 2024)

MVP-Bench: Can Large Vision-Language Models Conduct Multi-level Visual Perception Like Humans? - Guanzhen Li; Yuxi Xie; Min-Yen Kan (EMNLP (Findings), 2024)

Advancing Adversarial Suffix Transfer Learning on Aligned Large Language Models. - Hongfu Liu; Yuxi Xie; Ye Wang; Michael Shieh (EMNLP, 2024)

V-DPO: Mitigating Hallucination in Large Vision Language Models via Vision-Guided Direct Preference Optimization. - Yuxi Xie; Guanzhen Li; Xiao Xu 005; Min-Yen Kan (EMNLP (Findings), 2024)

Exploring Consumer Citizenship Behavior by Personification of E-Commerce Virtual Anchors Based on Shopping Value. - Linling Zhong; Yongzhong Yang; Zheng Mei; Yuxi Xie; Aixian Yu (IEEE Access, 2024)

Monte Carlo Tree Search Boosts Reasoning via Iterative Preference Learning. - Yuxi Xie; Anirudh Goyal; Wenyue Zheng; Min-Yen Kan; Timothy P. Lillicrap; Kenji Kawaguchi; Michael Shieh (CoRR, 2024)

COrAL: Order-Agnostic Language Modeling for Efficient Iterative Refinement. - Yuxi Xie; Anirudh Goyal; Xiaobao Wu; Xunjian Yin; Xiao Xu 005; Min-Yen Kan; Liangming Pan; William Yang Wang (CoRR, 2024)

Exploring Multi-Grained Concept Annotations for Multimodal Large Language Models. - Xiao Xu 005; Tianhao Niu; Yuxi Xie; Libo Qin 001; Wanxiang Che; Min-Yen Kan (CoRR, 2024)

AntiLeak-Bench: Preventing Data Contamination by Automatically Constructing Benchmarks with Updated Real-World Knowledge. - Xiaobao Wu; Liangming Pan; Yuxi Xie; Ruiwen Zhou; Shuai Zhao 007; Yubo Ma; Mingzhe Du; Rui Mao 010; Anh Tuan Luu; William Yang Wang (CoRR, 2024)

A novel hypergraph convolution network for wafer defect patterns identification based on an unbalanced dataset. - Yuxi Xie; Shaofan Li; C. T. Wu; Zhipeng Lai; Miao Su (J. Intell. Manuf., 2024)

AntiLeakBench: Preventing Data Contamination by Automatically Constructing Benchmarks with Updated Real-World Knowledge. - Xiaobao Wu; Liangming Pan; Yuxi Xie; Ruiwen Zhou; Shuai Zhao 007; Yubo Ma; Mingzhe Du; Rui Mao 010; Anh Tuan Luu; William Yang Wang (ACL (1), 2025)

Understanding and Enhancing Safety Mechanisms of LLMs via Safety-Specific Neuron. - Yiran Zhao 006; Wenxuan Zhang 001; Yuxi Xie; Anirudh Goyal; Kenji Kawaguchi; Michael Shieh (ICLR, 2025)

SWE-Search: Enhancing Software Agents with Monte Carlo Tree Search and Iterative Refinement. - Antonis Antoniades; Albert Örwall; Kexun Zhang; Yuxi Xie; Anirudh Goyal; William Yang Wang (ICLR, 2025)

LEDOM: An Open and Fundamental Reverse Language Model. - Xunjian Yin; Sitao Cheng; Yuxi Xie; Xinyu Hu 001; Li Lin 014; Xinyi Wang 003; Liangming Pan; William Yang Wang; Xiaojun Wan 001 (CoRR, 2025)

A Practical Finite Element Approach for Simulating Dynamic Crack Growth in Cu/Ultra Low-k Interconnect Structures. - Yuxi Xie; Ethan J. Wu; Lu Xu; Jimmy Perez; Shaofan Li (CoRR, 2025)

A GPU-Accelerated Three-Dimensional Crack Element Method for Transient Dynamic Fracture Simulation. - Yuxi Xie; C. T. Wu; Wei Hu; Lu Xu; Tinh Q. Bui; Shaofan Li (CoRR, 2025)