Xuchao Zhang

发表

Reducing Noise Pixels and Metric Bias in Semantic Inpainting on Segmentation Map

Jianfeng He, Bei Xiao, Xuchao Zhang, 2021, 2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW).

One Document, Many Revisions: A Dataset for Classification and Description of Edit Intents

E. Hovy, Dheeraj Rajagopal, Michael Gamon, 2022, LREC.

CAT: Beyond Efficient Transformer for Content-Aware Anomaly Detection in Event Sequences

Wei Cheng, Yanchi Liu, Hui Xiong, 2022, KDD.

DeepGAR: Deep Graph Learning for Analogical Reasoning

Liang Zhao, Haifeng Chen, Junxiang Wang, 2022, ArXiv.

TapNet: Multivariate Time Series Classification with Attentional Prototypical Network

Chang-Tien Lu, Yifeng Gao, Jessica Lin, 2020, AAAI.

Multi-Task Recurrent Modular Networks

Wei Cheng, Bo Zong, Wenchao Yu, 2021, AAAI.

Corpus-level and Concept-based Explanations for Interpretable Document Classification pdf

Ping Wang, Xuchao Zhang, Chandan K. Reddy, 2020, ACM Trans. Knowl. Discov. Data.

A Concept-based Abstraction-Aggregation Deep Neural Network for Interpretable Document Classification

C. Reddy, Tian Shi, Xuchao Zhang, 2020, ArXiv.

Scalable Robust Models Under Adversarial Data Corruption

Xuchao Zhang, Xuchao Zhang, 2019 .

Deep Prototypical Networks for Imbalanced Time Series Classification under Data Scarcity

Nitesh V. Chawla, Xian Wu, Suwen Lin, 2019, CIKM.

Recommending Root-Cause and Mitigation Steps for Cloud Incidents using Large Language Models

T. Zimmermann, Toufique Ahmed, Chetan Bansal, 2023, 2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE).

Dynamic Gaussian Mixture based Deep Generative Model For Robust Forecasting on Sparse Multivariate Time Series pdf

Bo Zong, Yanchi Liu, Yinjun Wu, 2021, AAAI.

Temporal Context-Aware Representation Learning for Question Routing

Bo Zong, Xuchao Zhang, Yuncong Chen, 2020, WSDM.

Empowering Practical Root Cause Analysis by Large Language Models for Cloud Incidents

Yinfang Chen, S. Rajmohan, Xuchao Zhang, 2023, 2305.15778.

Boosting Cross-Lingual Transfer via Self-Learning with Uncertainty Estimation pdf

Jinho D. Choi, Xujiang Zhao, Feng Chen, 2021, EMNLP.

Towards More Accurate Uncertainty Estimation in Text Classification

Chang-Tien Lu, Zhiqian Chen, Jianfeng He, 2020, EMNLP.

Do Multi-Lingual Pre-trained Language Models Reveal Consistent Token Attributions in Different Languages? pdf

Bo Zong, Jingchao Ni, Wei Cheng, 2021, ArXiv.

Online and Distributed Robust Regressions with Extremely Noisy Labels

Liang Zhao, Arnold P. Boedihardjo, Shuo Lei, 2021, ACM Trans. Knowl. Discov. Data.

Semantic Editing On Segmentation Map Via Multi-Expansion Loss pdf

Qingming Huang, Chang-Tien Lu, Shuhui Wang, 2020, ArXiv.

Knowledge-enhanced Neural Machine Reasoning: A Review

Xujiang Zhao, Guang-ying Bai, Tanmoy Chowdhury, 2023, ArXiv.

Robust phase unwrapping algorithm based on Zernike polynomial fitting and Swin-Transformer network

Junxiang Li, Zixin Zhao, Chen Fan, 2022, Measurement Science and Technology.

Robust phase unwrapping algorithm for interferometric applications based on Zernike polynomial fitting and Wrapped Kalman Filter

Junxiang Li, Zixin Zhao, Chen Fan, 2022, Optics and Lasers in Engineering.

Domain Specialization as the Key to Make Large Language Models Disruptive: A Comprehensive Survey

Carl Yang, Wei Cheng, Yanchi Liu, 2023, 2305.18703.

Empowering Practical Root Cause Analysis by Large Language Models for Cloud Incidents

Yuan Cao, Yinfang Chen, Qingwei Lin, 2023, ArXiv.

Modeling the Relationship between User Comments and Edits in Document Revision

Chang-Tien Lu, Michael Gamon, Xuchao Zhang, 2019, EMNLP.

Interpreting Convolutional Sequence Model by Learning Local Prototypes with Adaptation Regularization

Bo Zong, Yanchi Liu, Jingchao Ni, 2021, CIKM.

Zero-Shot Cross-Lingual Machine Reading Comprehension via Inter-Sentence Dependency Graph pdf

Bo Zong, Yanchi Liu, Jinho D. Choi, 2021, AAAI.

Unsupervised Concept Representation Learning for Length-Varying Text Similarity

Wei Cheng, Bo Zong, Yanchi Liu, 2021, NAACL.

Domain Specialization as the Key to Make Large Language Models Disruptive: A Comprehensive Survey

Carl Yang, Wei Cheng, Yanchi Liu, 2023, 2305.18703.

Feature Driven Learning Framework for Cybersecurity Event Detection

Chang-Tien Lu, Xuchao Zhang, Naren Ramakrishnan, 2019, 2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM).

Time Series Contrastive Learning with Information-Aware Augmentations

Wei Cheng, Yanchi Liu, Wenchao Yu, 2023, AAAI.

Unsupervised Document Embedding via Contrastive Augmentation pdf

Wei Cheng, Bo Zong, Yanchi Liu, 2021, ArXiv.

Self-Paced Robust Learning for Leveraging Clean Labels in Noisy Data

Chang-Tien Lu, Xian Wu, Liang Zhao, 2020, AAAI.

Domain Specialization as the Key to Make Large Language Models Disruptive: A Comprehensive Survey

Carl Yang, Wei Cheng, Yanchi Liu, 2023, 2305.18703.

Similarity-Aware Network Embedding with Self-Paced Learning

Nitesh V. Chawla, Xian Wu, Xuchao Zhang, 2019, CIKM.

Automatic Root Cause Analysis via Large Language Models for Cloud Incidents

Yinfang Chen, Qingwei Lin, Yu Kang, 2023, EuroSys.

Uncertainty Quantification for In-Context Learning of Large Language Models

Xuchao Zhang, Liang Zhao, Haifeng Chen, 2024, NAACL.

Uncertainty Decomposition and Quantification for In-Context Learning of Large Language Models

Xuchao Zhang, Liang Zhao, Katsushi Matsuda, 2024, ArXiv.