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2020 – today
- 2024
[j8]Linling Zhong, Yongzhong Yang, Zheng Mei
, Yuxi Xie, Aixian Yu:
Exploring Consumer Citizenship Behavior by Personification of E-Commerce Virtual Anchors Based on Shopping Value. IEEE Access 12: 76469-76477 (2024)- [j7]Yuxi Xie, Shaofan Li, C. T. Wu, Zhipeng Lai, Miao Su:
A novel hypergraph convolution network for wafer defect patterns identification based on an unbalanced dataset. J. Intell. Manuf. 35(2): 633-646 (2024) - [c14]Kaixin Li, Qisheng Hu, James Xu Zhao, Hui Chen, Yuxi Xie, Tiedong Liu, Michael Shieh, Junxian He:
InstructCoder: Instruction Tuning Large Language Models for Code Editing. ACL (Student Research Workshop) 2024: 50-70 - [c13]Do Xuan Long, Yiran Zhao, Hannah Brown, Yuxi Xie, James Xu Zhao, Nancy F. Chen, Kenji Kawaguchi, Michael Shieh, Junxian He:
Prompt Optimization via Adversarial In-Context Learning. ACL (1) 2024: 7308-7327 - [c12]Hongfu Liu, Yuxi Xie, Ye Wang, Michael Shieh:
Advancing Adversarial Suffix Transfer Learning on Aligned Large Language Models. EMNLP 2024: 7213-7224 - [c11]Yuxi Xie, Guanzhen Li, Xiao Xu, Min-Yen Kan:
V-DPO: Mitigating Hallucination in Large Vision Language Models via Vision-Guided Direct Preference Optimization. EMNLP (Findings) 2024: 13258-13273 - [c10]Guanzhen Li, Yuxi Xie, Min-Yen Kan:
MVP-Bench: Can Large Vision-Language Models Conduct Multi-level Visual Perception Like Humans? EMNLP (Findings) 2024: 13505-13527 - [i16]Yuxi Xie, Anirudh Goyal, Wenyue Zheng, Min-Yen Kan, Timothy P. Lillicrap, Kenji Kawaguchi, Michael Shieh:
Monte Carlo Tree Search Boosts Reasoning via Iterative Preference Learning. CoRR abs/2405.00451 (2024) - [i15]Hongfu Liu, Yuxi Xie, Ye Wang, Michael Shieh:
Advancing Adversarial Suffix Transfer Learning on Aligned Large Language Models. CoRR abs/2408.14866 (2024) - [i14]Guanzhen Li, Yuxi Xie, Min-Yen Kan:
MVP-Bench: Can Large Vision-Language Models Conduct Multi-level Visual Perception Like Humans? CoRR abs/2410.04345 (2024) - [i13]Yuxi Xie, Anirudh Goyal, Xiaobao Wu, Xunjian Yin, Xiao Xu, Min-Yen Kan, Liangming Pan, William Yang Wang:
COrAL: Order-Agnostic Language Modeling for Efficient Iterative Refinement. CoRR abs/2410.09675 (2024) - [i12]Antonis Antoniades, Albert Örwall, Kexun Zhang, Yuxi Xie, Anirudh Goyal, William Yang Wang:
SWE-Search: Enhancing Software Agents with Monte Carlo Tree Search and Iterative Refinement. CoRR abs/2410.20285 (2024) - [i11]Yuxi Xie, Guanzhen Li, Xiao Xu, Min-Yen Kan:
V-DPO: Mitigating Hallucination in Large Vision Language Models via Vision-Guided Direct Preference Optimization. CoRR abs/2411.02712 (2024) - [i10]Xiao Xu, Tianhao Niu, Yuxi Xie, Libo Qin, Wanxiang Che, Min-Yen Kan:
Exploring Multi-Grained Concept Annotations for Multimodal Large Language Models. CoRR abs/2412.05939 (2024) - [i9]Xiaobao Wu, Liangming Pan, Yuxi Xie, Ruiwen Zhou, Shuai Zhao, Yubo Ma, Mingzhe Du, Rui Mao, Anh Tuan Luu, William Yang Wang:
AntiLeak-Bench: Preventing Data Contamination by Automatically Constructing Benchmarks with Updated Real-World Knowledge. CoRR abs/2412.13670 (2024) - 2023
- [c9]James Xu Zhao, Yuxi Xie, Kenji Kawaguchi, Junxian He, Michael Qizhe Xie:
Automatic Model Selection with Large Language Models for Reasoning. EMNLP (Findings) 2023: 758-783 - [c8]Yuxi Xie, Guanzhen Li, Min-Yen Kan:
ECHo: A Visio-Linguistic Dataset for Event Causality Inference via Human-Centric Reasoning. EMNLP (Findings) 2023: 4064-4085 - [c7]Yuxi Xie, Kenji Kawaguchi, Yiran Zhao, James Xu Zhao, Min-Yen Kan, Junxian He, Michael Qizhe Xie:
Self-Evaluation Guided Beam Search for Reasoning. NeurIPS 2023 - [i8]Yuxi Xie, Kenji Kawaguchi, Yiran Zhao, Xu Zhao, Min-Yen Kan, Junxian He, Qizhe Xie:
Decomposition Enhances Reasoning via Self-Evaluation Guided Decoding. CoRR abs/2305.00633 (2023) - [i7]Xu Zhao, Yuxi Xie, Kenji Kawaguchi, Junxian He, Qizhe Xie:
Automatic Model Selection with Large Language Models for Reasoning. CoRR abs/2305.14333 (2023) - [i6]Yuxi Xie, Guanzhen Li, Min-Yen Kan:
ECHo: Event Causality Inference via Human-centric Reasoning. CoRR abs/2305.14740 (2023) - [i5]Qisheng Hu, Kaixin Li, Xu Zhao, Yuxi Xie, Tiedong Liu, Hui Chen, Qizhe Xie, Junxian He:
InstructCoder: Empowering Language Models for Code Editing. CoRR abs/2310.20329 (2023) - [i4]Xuan Long Do, Yiran Zhao, Hannah Brown, Yuxi Xie, James Xu Zhao, Nancy F. Chen, Kenji Kawaguchi, Michael Qizhe Xie, Junxian He:
Prompt Optimization via Adversarial In-Context Learning. CoRR abs/2312.02614 (2023) - 2022
- [j6]Yuxi Xie, Shaofan Li, Xuan Hu, Dana Bishara:
An adhesive Gurtin-Murdoch surface hydrodynamics theory of moving contact line and modeling of droplet wettability on soft substrates. J. Comput. Phys. 456: 111074 (2022) - [j5]Yuxi Xie, Min Qiu, Haibo Zhang, Lizhi Peng, Zhenxiang Chen:
Gaussian Distribution Based Oversampling for Imbalanced Data Classification. IEEE Trans. Knowl. Data Eng. 34(2): 667-679 (2022) - 2021
- [c6]Yuxi Xie, Danqing Huang, Jinpeng Wang, Chin-Yew Lin:
CanvasEmb: Learning Layout Representation with Large-scale Pre-training for Graphic Design. ACM Multimedia 2021: 4100-4108 - 2020
- [j4]Anqi Teng, Lizhi Peng, Yuxi Xie, Haibo Zhang, Zhenxiang Chen:
Gradient descent evolved imbalanced data gravitation classification with an application on Internet video traffic identification. Inf. Sci. 539: 447-460 (2020) - [c5]Liangming Pan, Yuxi Xie, Yansong Feng, Tat-Seng Chua, Min-Yen Kan:
Semantic Graphs for Generating Deep Questions. ACL 2020: 1463-1475 - [c4]Yuxi Xie, Liangming Pan, Dongzhe Wang, Min-Yen Kan, Yansong Feng:
Exploring Question-Specific Rewards for Generating Deep Questions. COLING 2020: 2534-2546 - [i3]Liangming Pan, Yuxi Xie, Yansong Feng, Tat-Seng Chua, Min-Yen Kan:
Semantic Graphs for Generating Deep Questions. CoRR abs/2004.12704 (2020) - [i2]Yuxi Xie, Liangming Pan, Dongzhe Wang, Min-Yen Kan, Yansong Feng:
Exploring Question-Specific Rewards for Generating Deep Questions. CoRR abs/2011.01102 (2020)
2010 – 2019
- 2019
- [j3]Yuxi Xie, Lizhi Peng, Zhenxiang Chen, Bo Yang, Hongli Zhang, Haibo Zhang:
Generative learning for imbalanced data using the Gaussian mixed model. Appl. Soft Comput. 79: 439-451 (2019) - [c3]Anqi Teng, Lizhi Peng, Yuxi Xie, Haibo Zhang, Zhenxiang Chen:
Imbalanced Data Gravitation Classification Model Using For Internet Video Traffic Identification. BigDataSecurity/HPSC/IDS 2019: 172-177 - [c2]Zechang Li, Yuxuan Lai, Yuxi Xie, Yansong Feng, Dongyan Zhao:
A Sketch-Based System for Semantic Parsing. NLPCC (2) 2019: 748-759 - [i1]Zechang Li, Yuxuan Lai, Yuxi Xie, Yansong Feng, Dongyan Zhao:
A Sketch-Based System for Semantic Parsing. CoRR abs/1909.00574 (2019) - 2018
- [c1]Yuxi Xie, Hanbo Deng, Lizhi Peng, Zhenxiang Chen:
Accurate Identification of Internet Video Traffic Using Byte Code Distribution Features. ICA3PP (1) 2018: 46-58 - 2016
- [j2]Yuxi Xie, Junwei Zhang, Yonggui He, Aibin Cheng, Qinan Yin:
Study on FOA_BP remote sepsis diagnosis based on wireless sensor network. J. Intell. Fuzzy Syst. 31(5): 2737-2743 (2016) - [j1]Yuxi Xie, Yonggui He, Aibin Cheng, Junwei Zhang:
Study on medical image enhancement based on IFOA improved grayscale image adaptive enhancement. Multim. Tools Appl. 75(22): 14367-14379 (2016)
Coauthor Index
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