Xuchao Zhang

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 91

Top Topics

Multivariate Time Series

Top Venues

Publications

Xuchao Zhang, Supriyo Ghosh, Chetan Bansal, Rujia Wang, Minghua Ma, Yu Kang, Saravan Rajmohan
Automated Root Causing of Cloud Incidents using In-Context Learning with GPT-4. CoRR (2024)
Manish Shetty, Yinfang Chen, Gagan Somashekar, Minghua Ma, Yogesh Simmhan, Xuchao Zhang, Jonathan Mace, Dax Vandevoorde, Pedro Las-Casas, Shachee Mishra Gupta, Suman Nath, Chetan Bansal, Saravan Rajmohan
Building AI Agents for Autonomous Clouds: Challenges and Design Principles. CoRR (2024)
Xuchao Zhang, Supriyo Ghosh, Chetan Bansal, Rujia Wang, Minghua Ma, Yu Kang, Saravan Rajmohan
Automated Root Causing of Cloud Incidents using In-Context Learning with GPT-4. SIGSOFT FSE Companion (2024)
Chen Ling, Xujiang Zhao, Xuchao Zhang, Wei Cheng, Yanchi Liu, Yiyou Sun, Mika Oishi, Takao Osaki, Katsushi Matsuda, Jie Ji, Guangji Bai, Liang Zhao, Haifeng Chen
Uncertainty Quantification for In-Context Learning of Large Language Models. NAACL-HLT (2024)
Devjeet Roy, Xuchao Zhang, Rashi Bhave, Chetan Bansal, Pedro Henrique B. Las-Casas, Rodrigo Fonseca, Saravan Rajmohan
Exploring LLM-based Agents for Root Cause Analysis. CoRR (2024)
Yinfang Chen, Huaibing Xie, Minghua Ma, Yu Kang, Xin Gao, Liu Shi, Yunjie Cao, Xuedong Gao, Hao Fan, Ming Wen, Jun Zeng, Supriyo Ghosh, Xuchao Zhang, Chaoyun Zhang, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Tianyin Xu
Automatic Root Cause Analysis via Large Language Models for Cloud Incidents. EuroSys (2024)
Drishti Goel, Fiza Husain, Aditya Singh, Supriyo Ghosh, Anjaly Parayil, Chetan Bansal, Xuchao Zhang, Saravan Rajmohan
X-lifecycle Learning for Cloud Incident Management using LLMs. CoRR (2024)
Drishti Goel, Fiza Husain, Aditya Singh, Supriyo Ghosh, Anjaly Parayil, Chetan Bansal, Xuchao Zhang, Saravan Rajmohan
X-Lifecycle Learning for Cloud Incident Management using LLMs. SIGSOFT FSE Companion (2024)
Devjeet Roy, Xuchao Zhang, Rashi Bhave, Chetan Bansal, Pedro Henrique B. Las-Casas, Rodrigo Fonseca, Saravan Rajmohan
Exploring LLM-Based Agents for Root Cause Analysis. SIGSOFT FSE Companion (2024)
Chen Ling, Xujiang Zhao, Wei Cheng, Yanchi Liu, Yiyou Sun, Xuchao Zhang, Mika Oishi, Takao Osaki, Katsushi Matsuda, Jie Ji, Guangji Bai, Liang Zhao, Haifeng Chen
Uncertainty Decomposition and Quantification for In-Context Learning of Large Language Models. CoRR (2024)
Peng Xia, Ze Chen, Juanxi Tian, Yangrui Gong, Ruibo Hou, Yue Xu, Zhenbang Wu, Zhiyuan Fan, Yiyang Zhou, Kangyu Zhu, Wenhao Zheng, Zhaoyang Wang, Xiao Wang, Xuchao Zhang, Chetan Bansal, Marc Niethammer, Junzhou Huang, Hongtu Zhu, Yun Li, Jimeng Sun, Zongyuan Ge, Gang Li, James Zou, Huaxiu Yao
CARES: A Comprehensive Benchmark of Trustworthiness in Medical Vision Language Models. CoRR (2024)
Dylan Zhang, Xuchao Zhang, Chetan Bansal, Pedro Henrique B. Las-Casas, Rodrigo Fonseca, Saravan Rajmohan
LM-PACE: Confidence Estimation by Large Language Models for Effective Root Causing of Cloud Incidents. SIGSOFT FSE Companion (2024)
Yinfang Chen, Huaibing Xie, Minghua Ma, Yu Kang, Xin Gao, Liu Shi, Yunjie Cao, Xuedong Gao, Hao Fan, Ming Wen, Jun Zeng, Supriyo Ghosh, Xuchao Zhang, Chaoyun Zhang, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang
Empowering Practical Root Cause Analysis by Large Language Models for Cloud Incidents. CoRR (2023)
Chen Ling, Xuchao Zhang, Xujiang Zhao, Yanchi Liu, Wei Cheng, Mika Oishi, Takao Osaki, Katsushi Matsuda, Haifeng Chen, Liang Zhao
Open-ended Commonsense Reasoning with Unrestricted Answer Candidates. EMNLP (Findings) (2023)
Jianfeng He, Xuchao Zhang, Shuo Lei, Abdulaziz Alhamadani, Fanglan Chen, Bei Xiao, Chang-Tien Lu
CLUR: Uncertainty Estimation for Few-Shot Text Classification with Contrastive Learning. KDD (2023)
Toufique Ahmed, Supriyo Ghosh, Chetan Bansal, Thomas Zimmermann, Xuchao Zhang, Saravan Rajmohan
Recommending Root-Cause and Mitigation Steps for Cloud Incidents using Large Language Models. CoRR (2023)
Chen Ling, Xuchao Zhang, Xujiang Zhao, Yanchi Liu, Wei Cheng, Mika Oishi, Takao Osaki, Katsushi Matsuda, Haifeng Chen, Liang Zhao
Open-ended Commonsense Reasoning with Unrestricted Answer Scope. CoRR (2023)
Pradeep Dogga, Chetan Bansal, Richard Costleigh, Gopinath Jayagopal, Suman Nath, Xuchao Zhang
AutoARTS: Taxonomy, Insights and Tools for Root Cause Labelling of Incidents in Microsoft Azure. USENIX Annual Technical Conference (2023)
Dylan Zhang, Xuchao Zhang, Chetan Bansal, Pedro Henrique B. Las-Casas, Rodrigo Fonseca, Saravan Rajmohan
PACE-LM: Prompting and Augmentation for Calibrated Confidence Estimation with GPT-4 in Cloud Incident Root Cause Analysis. CoRR (2023)
Xuchao Zhang, Menglin Xia, Camille Couturier, Guoqing Zheng, Saravan Rajmohan, Victor Rühle
Hybrid Retrieval-Augmented Generation for Real-time Composition Assistance. CoRR (2023)
Abdulaziz Alhamadani, Xuchao Zhang, Jianfeng He, Aadyant Khatri, Chang-Tien Lu
LANS: Large-scale Arabic News Summarization Corpus. ArabicNLP (2023)
Dongsheng Luo, Wei Cheng, Yingheng Wang, Dongkuan Xu, Jingchao Ni, Wenchao Yu, Xuchao Zhang, Yanchi Liu, Yuncong Chen, Haifeng Chen, Xiang Zhang
Time Series Contrastive Learning with Information-Aware Augmentations. CoRR (2023)
Tanmoy Chowdhury, Chen Ling, Xuchao Zhang, Xujiang Zhao, Guangji Bai, Jian Pei, Haifeng Chen, Liang Zhao
Knowledge-enhanced Neural Machine Reasoning: A Review. CoRR (2023)
Xujiang Zhao, Xuchao Zhang, Chen Zhao, Jin-Hee Cho, Lance M. Kaplan, Dong Hyun Jeong, Audun Jøsang, Haifeng Chen, Feng Chen
Multi-Label Temporal Evidential Neural Networks for Early Event Detection. ICASSP (2023)
Shuo Lei, Xuchao Zhang, Jianfeng He, Fanglan Chen, Chang-Tien Lu
TART: Improved Few-shot Text Classification Using Task-Adaptive Reference Transformation. CoRR (2023)
Chen Ling, Xujiang Zhao, Xuchao Zhang, Yanchi Liu, Wei Cheng, Haoyu Wang, Zhengzhang Chen, Takao Osaki, Katsushi Matsuda, Haifeng Chen, Liang Zhao
Improving Open Information Extraction with Large Language Models: A Study on Demonstration Uncertainty. CoRR (2023)
Chen Ling, Xujiang Zhao, Jiaying Lu, Chengyuan Deng, Can Zheng, Junxiang Wang, Tanmoy Chowdhury, Yun Li, Hejie Cui, Xuchao Zhang, Tianjiao Zhao, Amit Panalkar, Wei Cheng, Haoyu Wang, Yanchi Liu, Zhengzhang Chen, Haifeng Chen, Chris White, Quanquan Gu, Carl Yang, Liang Zhao
Beyond One-Model-Fits-All: A Survey of Domain Specialization for Large Language Models. CoRR (2023)
Toufique Ahmed, Supriyo Ghosh, Chetan Bansal, Thomas Zimmermann, Xuchao Zhang, Saravan Rajmohan
Recommending Root-Cause and Mitigation Steps for Cloud Incidents using Large Language Models. ICSE (2023)
Shuo Lei, Xuchao Zhang, Jianfeng He, Fanglan Chen, Chang-Tien Lu
TART: Improved Few-shot Text Classification Using Task-Adaptive Reference Transformation. ACL (1) (2023)
Dongsheng Luo, Wei Cheng, Yingheng Wang, Dongkuan Xu, Jingchao Ni, Wenchao Yu, Xuchao Zhang, Yanchi Liu, Yuncong Chen, Haifeng Chen, Xiang Zhang
Time Series Contrastive Learning with Information-Aware Augmentations. AAAI (2023)
Chen Ling, Tanmoy Chowdhury, Junji Jiang, Junxiang Wang, Xuchao Zhang, Haifeng Chen, Liang Zhao
DeepGAR: Deep Graph Learning for Analogical Reasoning. ICDM (2022)
Jianfeng He, Xuchao Zhang, Shuo Lei, Shuhui Wang, Chang-Tien Lu, Bei Xiao
Semantic inpainting on segmentation map via multi-expansion loss. Neurocomputing 501 (2022)
Shuo Lei, Xuchao Zhang, Jianfeng He, Fanglan Chen, Chang-Tien Lu
Uncertainty-Aware Cross-Lingual Transfer with Pseudo Partial Labels. NAACL-HLT (Findings) (2022)
Abdulaziz Alhamadani, Xuchao Zhang, Jianfeng He, Chang-Tien Lu
LANS: Large-scale Arabic News Summarization Corpus. CoRR (2022)
Shuo Lei, Xuchao Zhang, Jianfeng He, Fanglan Chen, Bowen Du, Chang-Tien Lu
Cross-Domain Few-Shot Semantic Segmentation. ECCV (30) (2022)
Xujiang Zhao, Xuchao Zhang, Wei Cheng, Wenchao Yu, Yuncong Chen, Haifeng Chen, Feng Chen
SEED: Sound Event Early Detection via Evidential Uncertainty. CoRR (2022)
Xujiang Zhao, Xuchao Zhang, Wei Cheng, Wenchao Yu, Yuncong Chen, Haifeng Chen, Feng Chen
Seed: Sound Event Early Detection Via Evidential Uncertainty. ICASSP (2022)
Tian Shi, Xuchao Zhang, Ping Wang, Chandan K. Reddy
Corpus-level and Concept-based Explanations for Interpretable Document Classification. ACM Trans. Knowl. Discov. Data 16 (3) (2022)
Dheeraj Rajagopal, Xuchao Zhang, Michael Gamon, Sujay Kumar Jauhar, Diyi Yang, Eduard H. Hovy
One Document, Many Revisions: A Dataset for Classification and Description of Edit Intents. LREC (2022)
Chen Ling, Tanmoy Chowdhury, Junji Jiang, Junxiang Wang, Xuchao Zhang, Haifeng Chen, Liang Zhao
DeepGAR: Deep Graph Learning for Analogical Reasoning. CoRR (2022)
Shengming Zhang, Yanchi Liu, Xuchao Zhang, Wei Cheng, Haifeng Chen, Hui Xiong
CAT: Beyond Efficient Transformer for Content-Aware Anomaly Detection in Event Sequences. KDD (2022)
Liyan Xu, Xuchao Zhang, Bo Zong, Yanchi Liu, Wei Cheng, Jingchao Ni, Haifeng Chen, Liang Zhao, Jinho D. Choi
Zero-Shot Cross-Lingual Machine Reading Comprehension via Inter-sentence Dependency Graph. AAAI (2022)
Shuo Lei, Xuchao Zhang, Liang Zhao, Arnold P. Boedihardjo, Chang-Tien Lu
Online and Distributed Robust Regressions with Extremely Noisy Labels. ACM Trans. Knowl. Discov. Data 16 (3) (2022)
Shuo Lei, Xuchao Zhang, Jianfeng He, Fanglan Chen, Chang-Tien Lu
Few-Shot Semantic Segmentation via Prototype Augmentation with Image-Level Annotations. ICME (2021)
Liyan Xu, Xuchao Zhang, Bo Zong, Yanchi Liu, Wei Cheng, Jingchao Ni, Haifeng Chen, Liang Zhao, Jinho D. Choi
Zero-Shot Cross-Lingual Machine Reading Comprehension via Inter-Sentence Dependency Graph. CoRR (2021)
Junxiang Wang, Xuchao Zhang, Bo Zong, Yanchi Liu, Wei Cheng, Jingchao Ni, Haifeng Chen, Liang Zhao
Do Multi-Lingual Pre-trained Language Models Reveal Consistent Token Attributions in Different Languages? CoRR (2021)
Jingchao Ni, Zhengzhang Chen, Wei Cheng, Bo Zong, Dongjin Song, Yanchi Liu, Xuchao Zhang, Haifeng Chen
Interpreting Convolutional Sequence Model by Learning Local Prototypes with Adaptation Regularization. CIKM (2021)
Tao Wang, Zhiyuan Shao, Yifu Xiao, Xuchao Zhang, Yitian Chen, Binze Shi, Siyu Chen, Yuxian Wang, Jiajie Peng, Xuequn Shang
Predicting Hepatoma-Related Genes Based on Representation Learning of PPI network and Gene Ontology Annotations. BIBM (2021)
Jianfeng He, Bei Xiao, Xuchao Zhang, Shuo Lei, Shuhui Wang, Chang-Tien Lu
Reducing Noise Pixels and Metric Bias in Semantic Inpainting on Segmentation Map. ICCVW (2021)
Dongkuan Xu, Wei Cheng, Xin Dong, Bo Zong, Wenchao Yu, Jingchao Ni, Dongjin Song, Xuchao Zhang, Haifeng Chen, Xiang Zhang
Multi-Task Recurrent Modular Networks. AAAI (2021)
Xuchao Zhang, Bo Zong, Wei Cheng, Jingchao Ni, Yanchi Liu, Haifeng Chen
Unsupervised Concept Representation Learning for Length-Varying Text Similarity. NAACL-HLT (2021)
Lichen Wang, Bo Zong, Yunyu Liu, Can Qin, Wei Cheng, Wenchao Yu, Xuchao Zhang, Haifeng Chen, Yun Fu
Aspect-based Sentiment Classification via Reinforcement Learning. ICDM (2021)
Liyan Xu, Xuchao Zhang, Xujiang Zhao, Haifeng Chen, Feng Chen, Jinho D. Choi
Boosting Cross-Lingual Transfer via Self-Learning with Uncertainty Estimation. CoRR (2021)
Yinjun Wu, Jingchao Ni, Wei Cheng, Bo Zong, Dongjin Song, Zhengzhang Chen, Yanchi Liu, Xuchao Zhang, Haifeng Chen, Susan B. Davidson
Dynamic Gaussian Mixture based Deep Generative Model For Robust Forecasting on Sparse Multivariate Time Series. AAAI (2021)
Dongsheng Luo, Wei Cheng, Jingchao Ni, Wenchao Yu, Xuchao Zhang, Bo Zong, Yanchi Liu, Zhengzhang Chen, Dongjin Song, Haifeng Chen, Xiang Zhang
Unsupervised Document Embedding via Contrastive Augmentation. CoRR (2021)
Yinjun Wu, Jingchao Ni, Wei Cheng, Bo Zong, Dongjin Song, Zhengzhang Chen, Yanchi Liu, Xuchao Zhang, Haifeng Chen, Susan B. Davidson
Dynamic Gaussian Mixture based Deep Generative Model For Robust Forecasting on Sparse Multivariate Time Series. CoRR (2021)
Liyan Xu, Xuchao Zhang, Xujiang Zhao, Haifeng Chen, Feng Chen, Jinho D. Choi
Boosting Cross-Lingual Transfer via Self-Learning with Uncertainty Estimation. EMNLP (1) (2021)
Xuchao Zhang, Yifeng Gao, Jessica Lin, Chang-Tien Lu
TapNet: Multivariate Time Series Classification with Attentional Prototypical Network. AAAI (2020)
Jianfeng He, Xuchao Zhang, Shuo Lei, Zhiqian Chen, Fanglan Chen, Abdulaziz Alhamadani, Bei Xiao, Chang-Tien Lu
Towards More Accurate Uncertainty Estimation In Text Classification. EMNLP (1) (2020)
Jianfeng He, Xuchao Zhang, Shuo Lei, Shuhui Wang, Qingming Huang, Chang-Tien Lu, Bei Xiao
Semantic Editing On Segmentation Map Via Multi-Expansion Loss. CoRR (2020)
Xuchao Zhang, Yingwen Shao
Robust Multi-Target Regression for Correlated Data Corruption. ICDM (2020)
Shuo Lei, Xuchao Zhang, Jianfeng He, Fanglan Chen, Chang-Tien Lu
Few-Shot Semantic Segmentation Augmented with Image-Level Weak Annotations. CoRR (2020)
Xuchao Zhang, Xian Wu, Fanglan Chen, Liang Zhao, Chang-Tien Lu
Self-Paced Robust Learning for Leveraging Clean Labels in Noisy Data. AAAI (2020)
Tian Shi, Xuchao Zhang, Ping Wang, Chandan K. Reddy
A Concept-based Abstraction-Aggregation Deep Neural Network for Interpretable Document Classification. CoRR (2020)
Xuchao Zhang, Wei Cheng, Bo Zong, Yuncong Chen, Jianwu Xu, Ding Li, Haifeng Chen
Temporal Context-Aware Representation Learning for Question Routing. WSDM (2020)
Xuchao Zhang, Shuo Lei, Liang Zhao, Arnold P. Boedihardjo, Chang-Tien Lu
Robust Regression via Heuristic Corruption Thresholding and Its Adaptive Estimation Variation. ACM Trans. Knowl. Discov. Data 13 (3) (2019)
Chao Huang, Xian Wu, Xuchao Zhang, Suwen Lin, Nitesh V. Chawla
Deep Prototypical Networks for Imbalanced Time Series Classification under Data Scarcity. CIKM (2019)
Xuchao Zhang, Fanglan Chen, Chang-Tien Lu, Naren Ramakrishnan
Mitigating Uncertainty in Document Classification. CoRR (2019)
Taoran Ji, Xuchao Zhang, Nathan Self, Kaiqun Fu, Chang-Tien Lu, Naren Ramakrishnan
Feature driven learning framework for cybersecurity event detection. ASONAM (2019)
Xuchao Zhang, Shuo Lei, Liang Zhao, Arnold P. Boedihardjo, Chang-Tien Lu
Robust Regression via Online Feature Selection under Adversarial Data Corruption. CoRR (2019)
Chao Huang, Baoxu Shi, Xuchao Zhang, Xian Wu, Nitesh V. Chawla
Similarity-Aware Network Embedding with Self-Paced Learning. CIKM (2019)
Chao Huang, Xian Wu, Xuchao Zhang, Chuxu Zhang, Jiashu Zhao, Dawei Yin, Nitesh V. Chawla
Online Purchase Prediction via Multi-Scale Modeling of Behavior Dynamics. KDD (2019)
Xuchao Zhang, Dheeraj Rajagopal, Michael Gamon, Sujay Kumar Jauhar, Chang-Tien Lu
Modeling the Relationship between User Comments and Edits in Document Revision. EMNLP/IJCNLP (1) (2019)
Xuchao Zhang, Fanglan Chen, Chang-Tien Lu, Naren Ramakrishnan
Mitigating Uncertainty in Document Classification. NAACL-HLT (1) (2019)
Lei Zhang, Liang Zhao, Xuchao Zhang, Wenmo Kong, Zitong Sheng, Chang-Tien Lu
Situation-Based Interpretable Learning for Personality Prediction in Social Media. IEEE BigData (2018)
Zhiqian Chen, Feng Chen, Rongjie Lai, Xuchao Zhang, Chang-Tien Lu
Rational Neural Networks for Approximating Graph Convolution Operator on Jump Discontinuities. ICDM (2018)
Xuchao Zhang, Shuo Lei, Liang Zhao, Arnold P. Boedihardjo, Chang-Tien Lu
Robust Regression via Online Feature Selection Under Adversarial Data Corruption. ICDM (2018)
Bingsheng Wang, Xuchao Zhang, Chang-Tien Lu, Feng Chen
Water Disaggregation via Shape Features based Bayesian Discriminative Sparse Coding. CoRR (2018)
Xuchao Zhang, Liang Zhao, Zhiqian Chen, Chang-Tien Lu
Distributed Self-Paced Learning in Alternating Direction Method of Multipliers. CoRR (2018)
Xuchao Zhang, Liang Zhao, Zhiqian Chen, Chang-Tien Lu
Distributed Self-Paced Learning in Alternating Direction Method of Multipliers. IJCAI (2018)
Zhiqian Chen, Feng Chen, Rongjie Lai, Xuchao Zhang, Chang-Tien Lu
Rational Neural Networks for Approximating Jump Discontinuities of Graph Convolution Operator. CoRR (2018)
Xuchao Zhang, Liang Zhao, Arnold P. Boedihardjo, Chang-Tien Lu
Online and Distributed Robust Regressions under Adversarial Data Corruption. CoRR (2017)
Xuchao Zhang, Liang Zhao, Arnold P. Boedihardjo, Chang-Tien Lu, Naren Ramakrishnan
Spatiotemporal Event Forecasting from Incomplete Hyper-local Price Data. CIKM (2017)
Xuchao Zhang, Liang Zhao, Arnold P. Boedihardjo, Chang-Tien Lu
Online and Distributed Robust Regressions Under Adversarial Data Corruption. ICDM (2017)
Xuchao Zhang, Liang Zhao, Arnold P. Boedihardjo, Chang-Tien Lu
Robust Regression via Heuristic Hard Thresholding. IJCAI (2017)
Zhiqian Chen, Xuchao Zhang, Arnold P. Boedihardjo, Jing Dai, Chang-Tien Lu
Multimodal Storytelling via Generative Adversarial Imitation Learning. IJCAI (2017)
Xuchao Zhang, Zhiqian Chen, Liang Zhao, Arnold P. Boedihardjo, Chang-Tien Lu
TRACES: Generating Twitter stories via shared subspace and temporal smoothness. IEEE BigData (2017)
Xuchao Zhang, Liang Zhao, Zhiqian Chen, Arnold P. Boedihardjo, Jing Dai, Chang-Tien Lu
Trendi: Tracking stories in news and microblogs via emerging, evolving and fading topics. IEEE BigData (2017)
Zhiqian Chen, Xuchao Zhang, Arnold P. Boedihardjo, Jing Dai, Chang-Tien Lu
Multimodal Storytelling via Generative Adversarial Imitation Learning. CoRR (2017)
Ting Hua, Xuchao Zhang, Wei Wang, Chang-Tien Lu, Naren Ramakrishnan
Automatical Storyline Generation with Help from Twitter. CIKM (2016)
Xuchao Zhang, Zhiqian Chen, Weisheng Zhong, Arnold P. Boedihardjo, Chang-Tien Lu
Storytelling in heterogeneous Twitter entity network based on hierarchical cluster routing. IEEE BigData (2016)