Xuchao Zhang
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
49
Venues
18
Active years
2016–2026
Best venue rank
A*
Where they publish
Papers
49 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | SynthAgent: Adapting Web Agents with Synthetic Supervision. | Zhaoyang Wang, Yiming Liang, Xuchao Zhang, Qianhui Wu, Siwei Han, Anson Bastos, Rujia Wang, Chetan Bansal, Baolin Peng, Jianfeng Gao, Saravan Rajmohan, Huaxiu Yao |
| 2025 | ACL | CARMO: Dynamic Criteria Generation for Context Aware Reward Modelling. | Taneesh Gupta, Shivam Shandilya, Xuchao Zhang, Rahul Madhavan, Supriyo Ghosh, Chetan Bansal, Huaxiu Yao, Saravan Rajmohan |
| 2025 | ACL | Synergistic Weak-Strong Collaboration by Aligning Preferences. | Yizhu Jiao, Xuchao Zhang, Zhaoyang Wang, Yubo Ma, Zhun Deng, Rujia Wang, Chetan Bansal, Saravan Rajmohan, Jiawei Han, Huaxiu Yao |
| 2025 | ICLR | CREAM: Consistency Regularized Self-Rewarding Language Models. | Zhaoyang Wang, Weilei He, Zhiyuan Liang, Xuchao Zhang, Chetan Bansal, Ying Wei, Weitong Zhang, Huaxiu Yao |
| 2025 | ICLR | Anyprefer: An Agentic Framework for Preference Data Synthesis. | Yiyang Zhou, Zhaoyang Wang, Tianle Wang, Shangyu Xing, Peng Xia, Bo Li, Kaiyuan Zheng, Zijian Zhang, Zhaorun Chen, Wenhao Zheng, Xuchao Zhang, Chetan Bansal, Weitong Zhang, Ying Wei, Mohit Bansal, Huaxiu Yao |
| 2025 | ICML | AMPO: Active Multi Preference Optimization for Self-play Preference Selection. | Taneesh Gupta, Rahul Madhavan, Xuchao Zhang, Chetan Bansal, Saravan Rajmohan |
| 2025 | NAACL | Verifiable Format Control for Large Language Model Generations. | Zhaoyang Wang, Jinqi Jiang, Huichi Zhou, Wenhao Zheng, Xuchao Zhang, Chetan Bansal, Huaxiu Yao |
| 2024 | CLOUD | Building AI Agents for Autonomous Clouds: Challenges and Design Principles. | Manish Shetty, Yinfang Chen, Gagan Somashekar, Minghua Ma, Yogesh Simmhan, Xuchao Zhang, Jonathan Mace, Dax Vandevoorde, Pedro Henrique B. Las-Casas, Shachee Mishra Gupta, Suman Nath, Chetan Bansal, Saravan Rajmohan |
| 2024 | EMNLP | Hybrid-RACA: Hybrid Retrieval-Augmented Composition Assistance for Real-time Text Prediction. | Menglin Xia, Xuchao Zhang, Camille Couturier, Guoqing Zheng, Saravan Rajmohan, Victor Rhle |
| 2024 | EuroSys | Automatic Root Cause Analysis via Large Language Models for Cloud Incidents. | 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 |
| 2024 | NAACL | Uncertainty Quantification for In-Context Learning of Large Language Models. | 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 |
| 2023 | AAAI | Time Series Contrastive Learning with Information-Aware Augmentations. | Dongsheng Luo, Wei Cheng, Yingheng Wang, Dongkuan Xu, Jingchao Ni, Wenchao Yu, Xuchao Zhang, Yanchi Liu, Yuncong Chen, Haifeng Chen, Xiang Zhang |
| 2023 | ACL | TART: Improved Few-shot Text Classification Using Task-Adaptive Reference Transformation. | Shuo Lei, Xuchao Zhang, Jianfeng He, Fanglan Chen, Chang-Tien Lu |
| 2023 | EMNLP | Open-ended Commonsense Reasoning with Unrestricted Answer Candidates. | Chen Ling, Xuchao Zhang, Xujiang Zhao, Yanchi Liu, Wei Cheng, Mika Oishi, Takao Osaki, Katsushi Matsuda, Haifeng Chen, Liang Zhao |
| 2023 | ICASSP | Multi-Label Temporal Evidential Neural Networks for Early Event Detection. | Xujiang Zhao, Xuchao Zhang, Chen Zhao, Jin-Hee Cho, Lance M. Kaplan, Dong Hyun Jeong, Audun Jsang, Haifeng Chen, Feng Chen |
| 2023 | ICSE | Recommending Root-Cause and Mitigation Steps for Cloud Incidents using Large Language Models. | Toufique Ahmed, Supriyo Ghosh, Chetan Bansal, Thomas Zimmermann, Xuchao Zhang, Saravan Rajmohan |
| 2023 | KDD | CLUR: Uncertainty Estimation for Few-Shot Text Classification with Contrastive Learning. | Jianfeng He, Xuchao Zhang, Shuo Lei, Abdulaziz Alhamadani, Fanglan Chen, Bei Xiao, Chang-Tien Lu |
| 2023 | USENIX | AutoARTS: Taxonomy, Insights and Tools for Root Cause Labelling of Incidents in Microsoft Azure. | Pradeep Dogga, Chetan Bansal, Richard Costleigh, Gopinath Jayagopal, Suman Nath, Xuchao Zhang |
| 2022 | AAAI | Zero-Shot Cross-Lingual Machine Reading Comprehension via Inter-sentence Dependency Graph. | Liyan Xu, Xuchao Zhang, Bo Zong, Yanchi Liu, Wei Cheng, Jingchao Ni, Haifeng Chen, Liang Zhao, Jinho D. Choi |
| 2022 | ECCV | Cross-Domain Few-Shot Semantic Segmentation. | Shuo Lei, Xuchao Zhang, Jianfeng He, Fanglan Chen, Bowen Du, Chang-Tien Lu |
| 2022 | ICASSP | Seed: Sound Event Early Detection Via Evidential Uncertainty. | Xujiang Zhao, Xuchao Zhang, Wei Cheng, Wenchao Yu, Yuncong Chen, Haifeng Chen, Feng Chen |
| 2022 | ICDM | DeepGAR: Deep Graph Learning for Analogical Reasoning. | Chen Ling, Tanmoy Chowdhury, Junji Jiang, Junxiang Wang, Xuchao Zhang, Haifeng Chen, Liang Zhao |
| 2022 | KDD | CAT: Beyond Efficient Transformer for Content-Aware Anomaly Detection in Event Sequences. | Shengming Zhang, Yanchi Liu, Xuchao Zhang, Wei Cheng, Haifeng Chen, Hui Xiong |
| 2022 | LREC | One Document, Many Revisions: A Dataset for Classification and Description of Edit Intents. | Dheeraj Rajagopal, Xuchao Zhang, Michael Gamon, Sujay Kumar Jauhar, Diyi Yang, Eduard H. Hovy |
| 2022 | NAACL | Uncertainty-Aware Cross-Lingual Transfer with Pseudo Partial Labels. | Shuo Lei, Xuchao Zhang, Jianfeng He, Fanglan Chen, Chang-Tien Lu |
| 2021 | AAAI | Dynamic Gaussian Mixture based Deep Generative Model For Robust Forecasting on Sparse Multivariate Time Series. | Yinjun Wu, Jingchao Ni, Wei Cheng, Bo Zong, Dongjin Song, Zhengzhang Chen, Yanchi Liu, Xuchao Zhang, Haifeng Chen, Susan B. Davidson |
| 2021 | AAAI | Multi-Task Recurrent Modular Networks. | Dongkuan Xu, Wei Cheng, Xin Dong, Bo Zong, Wenchao Yu, Jingchao Ni, Dongjin Song, Xuchao Zhang, Haifeng Chen, Xiang Zhang |
| 2021 | CIKM | Interpreting Convolutional Sequence Model by Learning Local Prototypes with Adaptation Regularization. | Jingchao Ni, Zhengzhang Chen, Wei Cheng, Bo Zong, Dongjin Song, Yanchi Liu, Xuchao Zhang, Haifeng Chen |
| 2021 | EMNLP | Boosting Cross-Lingual Transfer via Self-Learning with Uncertainty Estimation. | Liyan Xu, Xuchao Zhang, Xujiang Zhao, Haifeng Chen, Feng Chen, Jinho D. Choi |
| 2021 | ICDM | Aspect-based Sentiment Classification via Reinforcement Learning. | Lichen Wang, Bo Zong, Yunyu Liu, Can Qin, Wei Cheng, Wenchao Yu, Xuchao Zhang, Haifeng Chen, Yun Fu |
| 2021 | NAACL | Unsupervised Concept Representation Learning for Length-Varying Text Similarity. | Xuchao Zhang, Bo Zong, Wei Cheng, Jingchao Ni, Yanchi Liu, Haifeng Chen |
| 2020 | AAAI | TapNet: Multivariate Time Series Classification with Attentional Prototypical Network. | Xuchao Zhang, Yifeng Gao, Jessica Lin, Chang-Tien Lu |
| 2020 | AAAI | Self-Paced Robust Learning for Leveraging Clean Labels in Noisy Data. | Xuchao Zhang, Xian Wu, Fanglan Chen, Liang Zhao, Chang-Tien Lu |
| 2020 | EMNLP | Towards More Accurate Uncertainty Estimation In Text Classification. | Jianfeng He, Xuchao Zhang, Shuo Lei, Zhiqian Chen, Fanglan Chen, Abdulaziz Alhamadani, Bei Xiao, Chang-Tien Lu |
| 2020 | ICDM | Robust Multi-Target Regression for Correlated Data Corruption. | Xuchao Zhang, Yingwen Shao |
| 2020 | WSDM | Temporal Context-Aware Representation Learning for Question Routing. | Xuchao Zhang, Wei Cheng, Bo Zong, Yuncong Chen, Jianwu Xu, Ding Li, Haifeng Chen |
| 2019 | CIKM | Similarity-Aware Network Embedding with Self-Paced Learning. | Chao Huang, Baoxu Shi, Xuchao Zhang, Xian Wu, Nitesh V. Chawla |
| 2019 | CIKM | Deep Prototypical Networks for Imbalanced Time Series Classification under Data Scarcity. | Chao Huang, Xian Wu, Xuchao Zhang, Suwen Lin, Nitesh V. Chawla |
| 2019 | EMNLP | Modeling the Relationship between User Comments and Edits in Document Revision. | Xuchao Zhang, Dheeraj Rajagopal, Michael Gamon, Sujay Kumar Jauhar, Chang-Tien Lu |
| 2019 | KDD | Online Purchase Prediction via Multi-Scale Modeling of Behavior Dynamics. | Chao Huang, Xian Wu, Xuchao Zhang, Chuxu Zhang, Jiashu Zhao, Dawei Yin, Nitesh V. Chawla |
| 2019 | NAACL | Mitigating Uncertainty in Document Classification. | Xuchao Zhang, Fanglan Chen, Chang-Tien Lu, Naren Ramakrishnan |
| 2018 | ICDM | Rational Neural Networks for Approximating Graph Convolution Operator on Jump Discontinuities. | Zhiqian Chen, Feng Chen, Rongjie Lai, Xuchao Zhang, Chang-Tien Lu |
| 2018 | ICDM | Robust Regression via Online Feature Selection Under Adversarial Data Corruption. | Xuchao Zhang, Shuo Lei, Liang Zhao, Arnold P. Boedihardjo, Chang-Tien Lu |
| 2018 | IJCAI | Distributed Self-Paced Learning in Alternating Direction Method of Multipliers. | Xuchao Zhang, Liang Zhao, Zhiqian Chen, Chang-Tien Lu |
| 2017 | CIKM | Spatiotemporal Event Forecasting from Incomplete Hyper-local Price Data. | Xuchao Zhang, Liang Zhao, Arnold P. Boedihardjo, Chang-Tien Lu, Naren Ramakrishnan |
| 2017 | ICDM | Online and Distributed Robust Regressions Under Adversarial Data Corruption. | Xuchao Zhang, Liang Zhao, Arnold P. Boedihardjo, Chang-Tien Lu |
| 2017 | IJCAI | Multimodal Storytelling via Generative Adversarial Imitation Learning. | Zhiqian Chen, Xuchao Zhang, Arnold P. Boedihardjo, Jing Dai, Chang-Tien Lu |
| 2017 | IJCAI | Robust Regression via Heuristic Hard Thresholding. | Xuchao Zhang, Liang Zhao, Arnold P. Boedihardjo, Chang-Tien Lu |
| 2016 | CIKM | Automatical Storyline Generation with Help from Twitter. | Ting Hua, Xuchao Zhang, Wei Wang, Chang-Tien Lu, Naren Ramakrishnan |