Dongmei Zhang

ORCID

Publication Activity (10 Years)

Years Active: 2021-2023
Publications (10 Years): 138

Top Venues

Publications

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)
Lu Wang, Chaoyun Zhang, Ruomeng Ding, Yong Xu, Qihang Chen, Wentao Zou, Qingjun Chen, Meng Zhang, Xuedong Gao, Hao Fan, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang
Root Cause Analysis for Microservice Systems via Hierarchical Reinforcement Learning from Human Feedback. KDD (2023)
Tong Cheng, Hang Dong, Lu Wang, Bo Qiao, Si Qin, Qingwei Lin, Dongmei Zhang, Saravan Rajmohan, Thomas Moscibroda
Multi-Agent Reinforcement Learning with Shared Policy for Cloud Quota Management Problem. WWW (Companion Volume) (2023)
Jiayan Guo, Lun Du, Xu Chen, Xiaojun Ma, Qiang Fu, Shi Han, Dongmei Zhang, Yan Zhang
On Manipulating Signals of User-Item Graph: A Jacobi Polynomial-based Graph Collaborative Filtering. KDD (2023)
Xiaohan Yan, Ken Hsieh, Yasitha Liyanage, Minghua Ma, Murali Chintalapati, Qingwei Lin, Yingnong Dang, Dongmei Zhang
Aegis: Attribution of Control Plane Change Impact across Layers and Components for Cloud Systems. ICSE-SEIP (2023)
Pengxiang Jin, Shenglin Zhang, Minghua Ma, Haozhe Li, Yu Kang, Liqun Li, Yudong Liu, Bo Qiao, Chaoyun Zhang, Pu Zhao, Shilin He, Federica Sarro, Yingnong Dang, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang
Assess and Summarize: Improve Outage Understanding with Large Language Models. ESEC/SIGSOFT FSE (2023)
Jiayan Guo, Lun Du, Wendong Bi, Qiang Fu, Xiaojun Ma, Xu Chen, Shi Han, Dongmei Zhang, Yan Zhang
Homophily-oriented Heterogeneous Graph Rewiring. CoRR (2023)
Wenyuan Kong, Zhaoyun Jiang, Shizhao Sun, Zhuoning Guo, Weiwei Cui, Ting Liu, Jianguang Lou, Dongmei Zhang
Aesthetics++: Refining Graphic Designs by Exploring Design Principles and Human Preference. IEEE Trans. Vis. Comput. Graph. 29 (6) (2023)
Xinyi He, Mengyu Zhou, Xinrun Xu, Xiaojun Ma, Rui Ding, Lun Du, Yan Gao, Ran Jia, Xu Chen, Shi Han, Zejian Yuan, Dongmei Zhang
Text2Analysis: A Benchmark of Table Question Answering with Advanced Data Analysis and Unclear Queries. CoRR (2023)
Wanrong He, Haoyu Dong, Yihuai Gao, Zhichao Fan, Xingzhuo Guo, Zhitao Hou, Xiao Lv, Ran Jia, Shi Han, Dongmei Zhang
HermEs: Interactive Spreadsheet Formula Prediction via Hierarchical Formulet Expansion. ACL (1) (2023)
Fan Hu, Yanlin Wang, Lun Du, Xirong Li, Hongyu Zhang, Shi Han, Dongmei Zhang
Revisiting Code Search in a Two-Stage Paradigm. WSDM (2023)
Junjie Sheng, Lu Wang, Fangkai Yang, Bo Qiao, Hang Dong, Xiangfeng Wang, Bo Jin, Jun Wang, Si Qin, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang
Learning Cooperative Oversubscription for Cloud by Chance-Constrained Multi-Agent Reinforcement Learning. WWW (2023)
Jincheng Huang, Lun Du, Xu Chen, Qiang Fu, Shi Han, Dongmei Zhang
Robust Mid-Pass Filtering Graph Convolutional Networks. WWW (2023)
Pingchuan Ma, Rui Ding, Shuai Wang, Shi Han, Dongmei Zhang
XInsight: eXplainable Data Analysis Through The Lens of Causality. Proc. ACM Manag. Data 1 (2) (2023)
Yun Wang, Leixian Shen, Zhengxin You, Xinhuan Shu, Bongshin Lee, John Thompson, Haidong Zhang, Dongmei Zhang
WonderFlow: Narration-Centric Design of Animated Data Videos. CoRR (2023)
Fangkai Yang, Jue Zhang, Lu Wang, Bo Qiao, Di Weng, Xiaoting Qin, Gregory Weber, Durgesh Nandini Das, Srinivasan Rakhunathan, Ranganathan Srikanth, Qingwei Lin, Dongmei Zhang
Contextual Self-attentive Temporal Point Process for Physical Decommissioning Prediction of Cloud Assets. KDD (2023)
Shengnan An, Zeqi Lin, Qiang Fu, Bei Chen, Nanning Zheng, Jian-Guang Lou, Dongmei Zhang
How Do In-Context Examples Affect Compositional Generalization? CoRR (2023)
Zhengran Zeng, Yuqun Zhang, Yong Xu, Minghua Ma, Bo Qiao, Wentao Zou, Qingjun Chen, Meng Zhang, Xu Zhang, Hongyu Zhang, Xuedong Gao, Hao Fan, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang
TraceArk: Towards Actionable Performance Anomaly Alerting for Online Service Systems. ICSE-SEIP (2023)
Haozhe Li, Minghua Ma, Yudong Liu, Si Qin, Bo Qiao, Randolph Yao, Harshwardhan Chaturvedi, Tri Tran, Murali Chintalapati, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang
CODEC: Cost-Effective Duration Prediction System for Deadline Scheduling in the Cloud. ISSRE (2023)
Yuan Sui, Jiaru Zou, Mengyu Zhou, Xinyi He, Lun Du, Shi Han, Dongmei Zhang
TAP4LLM: Table Provider on Sampling, Augmenting, and Packing Semi-structured Data for Large Language Model Reasoning. CoRR (2023)
Peng Li, Yeye He, Dror Yashar, Weiwei Cui, Song Ge, Haidong Zhang, Danielle Rifinski Fainman, Dongmei Zhang, Surajit Chaudhuri
Table-GPT: Table-tuned GPT for Diverse Table Tasks. CoRR (2023)
Junyi Zhang, Jiaqi Guo, Shizhao Sun, Jian-Guang Lou, Dongmei Zhang
LayoutDiffusion: Improving Graphic Layout Generation by Discrete Diffusion Probabilistic Models. CoRR (2023)
Ensheng Shi, Yanlin Wang, Hongyu Zhang, Lun Du, Shi Han, Dongmei Zhang, Hongbin Sun
Towards Efficient Fine-tuning of Pre-trained Code Models: An Experimental Study and Beyond. CoRR (2023)
Pingchuan Ma, Rui Ding, Shuai Wang, Shi Han, Dongmei Zhang
Demonstration of InsightPilot: An LLM-Empowered Automated Data Exploration System. CoRR (2023)
Zhaoyun Jiang, Jiaqi Guo, Shizhao Sun, Huayu Deng, Zhongkai Wu, Vuksan Mijovic, Zijiang James Yang, Jian-Guang Lou, Dongmei Zhang
LayoutFormer++: Conditional Graphic Layout Generation via Constraint Serialization and Decoding Space Restriction. CVPR (2023)
Jincheng Huang, Lun Du, Xu Chen, Qiang Fu, Shi Han, Dongmei Zhang
Robust Mid-Pass Filtering Graph Convolutional Networks. CoRR (2023)
Jinsong Zhang, Qiang Fu, Xu Chen, Lun Du, Zelin Li, Gang Wang, Xiaoguang Liu, Shi Han, Dongmei Zhang
Out-of-Distribution Detection based on In-Distribution Data Patterns Memorization with Modern Hopfield Energy. ICLR (2023)
Jiawei Lin, Jiaqi Guo, Shizhao Sun, Zijiang Yang, Jian-Guang Lou, Dongmei Zhang
LayoutPrompter: Awaken the Design Ability of Large Language Models. NeurIPS (2023)
Liting Chen, Jie Yan, Zhengdao Shao, Lu Wang, Qingwei Lin, Dongmei Zhang
Conservative State Value Estimation for Offline Reinforcement Learning. CoRR (2023)
Chongjian Yue, Xinrun Xu, Xiaojun Ma, Lun Du, Hengyu Liu, Zhiming Ding, Yanbing Jiang, Shi Han, Dongmei Zhang
Leveraging LLMs for KPIs Retrieval from Hybrid Long-Document: A Comprehensive Framework and Dataset. CoRR (2023)
Chenyu Zhao, Minghua Ma, Zhenyu Zhong, Shenglin Zhang, Zhiyuan Tan, Xiao Xiong, LuLu Yu, Jiayi Feng, Yongqian Sun, Yuzhi Zhang, Dan Pei, Qingwei Lin, Dongmei Zhang
Robust Multimodal Failure Detection for Microservice Systems. CoRR (2023)
Hongwei Han, Mengyu Zhou, Shi Han, Xiu Li, Dongmei Zhang
CASR: Generating Complex Sequences with Autoregressive Self-Boost Refinement. ICLR (2023)
Danqing Huang, Jiaqi Guo, Shizhao Sun, Hanling Tian, Jieru Lin, Zheng Hu, Chin-Yew Lin, Jian-Guang Lou, Dongmei Zhang
A Survey for Graphic Design Intelligence. CoRR (2023)
Haoxin Liu, Pu Zhao, Si Qin, Yong Shi, Mirror Xu, Qingwei Lin, Dongmei Zhang
HAPENS: Hardness-Personalized Negative Sampling for Implicit Collaborative Filtering. WWW (Companion Volume) (2023)
Jinyang Liu, Shilin He, Zhuangbin Chen, Liqun Li, Yu Kang, Xu Zhang, Pinjia He, Hongyu Zhang, Qingwei Lin, Zhangwei Xu, Saravan Rajmohan, Dongmei Zhang, Michael R. Lyu
Incident-aware Duplicate Ticket Aggregation for Cloud Systems. ICSE (2023)
Ensheng Shi, Yanlin Wang, Wenchao Gu, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Hongbin Sun
CoCoSoDa: Effective Contrastive Learning for Code Search. ICSE (2023)
Fangkai Yang, Wenjie Yin, Lu Wang, Tianci Li, Pu Zhao, Bo Liu, Paul Wang, Bo Qiao, Yudong Liu, Mårten Björkman, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang
Diffusion-based Time Series Data Imputation for Microsoft 365. CoRR (2023)
Shilin He, Botao Feng, Liqun Li, Xu Zhang, Yu Kang, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang
STEAM: Observability-Preserving Trace Sampling. ESEC/SIGSOFT FSE (2023)
Zhenhao Li, Chuan Luo, Tse-Hsun Chen, Weiyi Shang, Shilin He, Qingwei Lin, Dongmei Zhang
Did We Miss Something Important? Studying and Exploring Variable-Aware Log Abstraction. ICSE (2023)
Ensheng Shi, Yanlin Wang, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Hongbin Sun
CoCoAST: Representing Source Code via Hierarchical Splitting and Reconstruction of Abstract Syntax Trees. Empir. Softw. Eng. 28 (6) (2023)
Fangkai Yang, Wenjie Yin, Lu Wang, Tianci Li, Pu Zhao, Bo Liu, Paul Wang, Bo Qiao, Yudong Liu, Mårten Björkman, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang
Diffusion-Based Time Series Data Imputation for Cloud Failure Prediction at Microsoft 365. ESEC/SIGSOFT FSE (2023)
Ensheng Shi, Fengji Zhang, Yanlin Wang, Bei Chen, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Hongbin Sun
SoTaNa: The Open-Source Software Development Assistant. CoRR (2023)
Fangkai Yang, Lu Wang, Zhenyu Xu, Jue Zhang, Liqun Li, Bo Qiao, Camille Couturier, Chetan Bansal, Soumya Ram, Si Qin, Zhen Ma, Íñigo Goiri, Eli Cortez, Terry Yang, Victor Rühle, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang
Snape: Reliable and Low-Cost Computing with Mixture of Spot and On-Demand VMs. ASPLOS (3) (2023)
Xiaoting Qin, Minghua Ma, Yuheng Zhao, Jue Zhang, Chao Du, Yudong Liu, Anjaly Parayil, Chetan Bansal, Saravan Rajmohan, Íñigo Goiri, Eli Cortez, Si Qin, Qingwei Lin, Dongmei Zhang
How Different are the Cloud Workloads? Characterizing Large-Scale Private and Public Cloud Workloads. DSN (2023)
Yuan Sui, Mengyu Zhou, Mingjie Zhou, Shi Han, Dongmei Zhang
Evaluating and Enhancing Structural Understanding Capabilities of Large Language Models on Tables via Input Designs. CoRR (2023)
Jiawei Lin, Jiaqi Guo, Shizhao Sun, Weijiang Xu, Ting Liu, Jian-Guang Lou, Dongmei Zhang
A Parse-Then-Place Approach for Generating Graphic Layouts from Textual Descriptions. ICCV (2023)
Jiayi Liao, Xu Chen, Qiang Fu, Lun Du, Xiangnan He, Xiang Wang, Shi Han, Dongmei Zhang
Text-to-Image Generation for Abstract Concepts. CoRR (2023)
Chenyu Zhao, Minghua Ma, Zhenyu Zhong, Shenglin Zhang, Zhiyuan Tan, Xiao Xiong, LuLu Yu, Jiayi Feng, Yongqian Sun, Yuzhi Zhang, Dan Pei, Qingwei Lin, Dongmei Zhang
Robust Multimodal Failure Detection for Microservice Systems. KDD (2023)
Shengnan An, Zeqi Lin, Qiang Fu, Bei Chen, Nanning Zheng, Jian-Guang Lou, Dongmei Zhang
How Do In-Context Examples Affect Compositional Generalization? ACL (1) (2023)
Zhangchi Zhu, Lu Wang, Pu Zhao, Chao Du, Wei Zhang, Hang Dong, Bo Qiao, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang
Robust Positive-Unlabeled Learning via Noise Negative Sample Self-correction. KDD (2023)
Jinyang Liu, Shilin He, Zhuangbin Chen, Liqun Li, Yu Kang, Xu Zhang, Pinjia He, Hongyu Zhang, Qingwei Lin, Zhangwei Xu, Saravan Rajmohan, Dongmei Zhang, Michael R. Lyu
Incident-aware Duplicate Ticket Aggregation for Cloud Systems. CoRR (2023)
Haoyue Dai, Rui Ding, Yuanyuan Jiang, Shi Han, Dongmei Zhang
ML4C: Seeing Causality Through Latent Vicinity. SDM (2023)
Jiayan Guo, Lun Du, Wendong Bi, Qiang Fu, Xiaojun Ma, Xu Chen, Shi Han, Dongmei Zhang, Yan Zhang
Homophily-oriented Heterogeneous Graph Rewiring. WWW (2023)
Ensheng Shi, Yanlin Wang, Hongyu Zhang, Lun Du, Shi Han, Dongmei Zhang, Hongbin Sun
Towards Efficient Fine-Tuning of Pre-trained Code Models: An Experimental Study and Beyond. ISSTA (2023)
Yuyan Chen, Qiang Fu, Ge Fan, Lun Du, Jian-Guang Lou, Shi Han, Dongmei Zhang, Zhixu Li, Yanghua Xiao
Hadamard Adapter: An Extreme Parameter-Efficient Adapter Tuning Method for Pre-trained Language Models. CIKM (2023)
Dezhan Tu, Yeye He, Weiwei Cui, Song Ge, Haidong Zhang, Shi Han, Dongmei Zhang, Surajit Chaudhuri
Auto-Validate by-History: Auto-Program Data Quality Constraints to Validate Recurring Data Pipelines. CoRR (2023)
Ruomeng Ding, Chaoyun Zhang, Lu Wang, Yong Xu, Minghua Ma, Xiaomin Wu, Meng Zhang, Qingjun Chen, Xin Gao, Xuedong Gao, Hao Fan, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang
TraceDiag: Adaptive, Interpretable, and Efficient Root Cause Analysis on Large-Scale Microservice Systems. CoRR (2023)
Jiawei Lin, Jiaqi Guo, Shizhao Sun, Weijiang Xu, Ting Liu, Jian-Guang Lou, Dongmei Zhang
A Parse-Then-Place Approach for Generating Graphic Layouts from Textual Descriptions. CoRR (2023)
Ran Jia, Qiyu Li, Zihan Xu, Xiaoyuan Jin, Lun Du, Haoyu Dong, Xiao Lv, Shi Han, Dongmei Zhang
SheetPT: Spreadsheet Pre-training Based on Hierarchical Attention Network. AAAI (2023)
Haipeng Luo, Qingfeng Sun, Can Xu, Pu Zhao, Jianguang Lou, Chongyang Tao, Xiubo Geng, Qingwei Lin, Shifeng Chen, Dongmei Zhang
WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct. CoRR (2023)
Dezhan Tu, Yeye He, Weiwei Cui, Song Ge, Haidong Zhang, Shi Han, Dongmei Zhang, Surajit Chaudhuri
Auto-Validate by-History: Auto-Program Data Quality Constraints to Validate Recurring Data Pipelines. KDD (2023)
Liqun Li, Xu Zhang, Shilin He, Yu Kang, Hongyu Zhang, Minghua Ma, Yingnong Dang, Zhangwei Xu, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang
CONAN: Diagnosing Batch Failures for Cloud Systems. ICSE-SEIP (2023)
Junyi Zhang, Jiaqi Guo, Shizhao Sun, Jian-Guang Lou, Dongmei Zhang
LayoutDiffusion: Improving Graphic Layout Generation by Discrete Diffusion Probabilistic Models. ICCV (2023)
Zhangchi Zhu, Lu Wang, Pu Zhao, Chao Du, Wei Zhang, Hang Dong, Bo Qiao, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang
Robust Positive-Unlabeled Learning via Noise Negative Sample Self-correction. CoRR (2023)
Nuo Chen, Zinan Zheng, Ning Wu, Linjun Shou, Ming Gong, Yangqiu Song, Dongmei Zhang, Jia Li
Breaking Language Barriers in Multilingual Mathematical Reasoning: Insights and Observations. CoRR (2023)
Zezhong Wang, Fangkai Yang, Pu Zhao, Lu Wang, Jue Zhang, Mohit Garg, Qingwei Lin, Dongmei Zhang
Empower Large Language Model to Perform Better on Industrial Domain-Specific Question Answering. CoRR (2023)
Pengxiang Jin, Shenglin Zhang, Minghua Ma, Haozhe Li, Yu Kang, Liqun Li, Yudong Liu, Bo Qiao, Chaoyun Zhang, Pu Zhao, Shilin He, Federica Sarro, Yingnong Dang, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang
Assess and Summarize: Improve Outage Understanding with Large Language Models. CoRR (2023)
Ran Jia, Haoming Guo, Xiaoyuan Jin, Chao Yan, Lun Du, Xiaojun Ma, Tamara Stankovic, Marko Lozajic, Goran Zoranovic, Igor Ilic, Shi Han, Dongmei Zhang
GetPt: Graph-enhanced General Table Pre-training with Alternate Attention Network. KDD (2023)
Xu Zhang, Yuan Zhao, Ziang Cui, Liqun Li, Shilin He, Qingwei Lin, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang
Towards Lightweight, Model-Agnostic and Diversity-Aware Active Anomaly Detection. ICLR (2023)
Yuyan Chen, Qiang Fu, Yichen Yuan, Zhihao Wen, Ge Fan, Dayiheng Liu, Dongmei Zhang, Zhixu Li, Yanghua Xiao
Hallucination Detection: Robustly Discerning Reliable Answers in Large Language Models. CIKM (2023)
Qingwei Lin, Tianci Li, Pu Zhao, Yudong Liu, Minghua Ma, Lingling Zheng, Murali Chintalapati, Bo Liu, Paul Wang, Hongyu Zhang, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang
EDITS: An Easy-to-difficult Training Strategy for Cloud Failure Prediction. WWW (Companion Volume) (2023)
Jiawei Lin, Jiaqi Guo, Shizhao Sun, Zijiang James Yang, Jian-Guang Lou, Dongmei Zhang
LayoutPrompter: Awaken the Design Ability of Large Language Models. CoRR (2023)
Yuhang Chen, Chaoyun Zhang, Minghua Ma, Yudong Liu, Ruomeng Ding, Bowen Li, Shilin He, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang
ImDiffusion: Imputed Diffusion Models for Multivariate Time Series Anomaly Detection. CoRR (2023)
Zhenhao Li, Chuan Luo, Tse-Hsun Chen, Weiyi Shang, Shilin He, Qingwei Lin, Dongmei Zhang
Did We Miss Something Important? Studying and Exploring Variable-Aware Log Abstraction. CoRR (2023)
Pingchuan Ma, Rui Ding, Shuai Wang, Shi Han, Dongmei Zhang
InsightPilot: An LLM-Empowered Automated Data Exploration System. EMNLP (Demos) (2023)
Jiayun Fu, Xiaojing Ma, Bin B. Zhu, Pingyi Hu, Ruixin Zhao, Yaru Jia, Peng Xu, Hai Jin, Dongmei Zhang
Focusing on Pinocchio's Nose: A Gradients Scrutinizer to Thwart Split-Learning Hijacking Attacks Using Intrinsic Attributes. NDSS (2023)
Xinyi He, Mengyu Zhou, Mingjie Zhou, Jialiang Xu, Xiao Lv, Tianle Li, Yijia Shao, Shi Han, Zejian Yuan, Dongmei Zhang
AnaMeta: A Table Understanding Dataset of Field Metadata Knowledge Shared by Multi-dimensional Data Analysis Tasks. ACL (Findings) (2023)
Nuo Chen, Ning Wu, Shining Liang, Ming Gong, Linjun Shou, Dongmei Zhang, Jia Li
Beyond Surface: Probing LLaMA Across Scales and Layers. CoRR (2023)
Yun Wang, Zhitao Hou, Leixian Shen, Tongshuang Wu, Jiaqi Wang, He Huang, Haidong Zhang, Dongmei Zhang
Towards Natural Language-Based Visualization Authoring. IEEE Trans. Vis. Comput. Graph. 29 (1) (2023)
Lunyiu Nie, Jiuding Sun, Yanlin Wang, Lun Du, Shi Han, Dongmei Zhang, Lei Hou, Juanzi Li, Jidong Zhai
Unveiling the Black Box of PLMs with Semantic Anchors: Towards Interpretable Neural Semantic Parsing. AAAI (2023)
Ruomeng Ding, Chaoyun Zhang, Lu Wang, Yong Xu, Minghua Ma, Wei Zhang, Si Qin, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang
Everything of Thoughts: Defying the Law of Penrose Triangle for Thought Generation. CoRR (2023)
Liting Chen, Lu Wang, Hang Dong, Yali Du, Jie Yan, Fangkai Yang, Shuang Li, Pu Zhao, Si Qin, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang
Introspective Tips: Large Language Model for In-Context Decision Making. CoRR (2023)
Hongwei Han, Jialiang Xu, Mengyu Zhou, Yijia Shao, Shi Han, Dongmei Zhang
LUNA: Language Understanding with Number Augmentations on Transformers via Number Plugins and Pre-training. CoRR (2022)
Wenchao Gu, Yanlin Wang, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Michael R. Lyu
Accelerating Code Search with Deep Hashing and Code Classification. ACL (1) (2022)
Ensheng Shi, Yanlin Wang, Wei Tao, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Hongbin Sun
RACE: Retrieval-augmented Commit Message Generation. EMNLP (2022)
Wei Tao, Yanlin Wang, Ensheng Shi, Lun Du, Shi Han, Hongyu Zhang, Dongmei Zhang, Wenqiang Zhang
A large-scale empirical study of commit message generation: models, datasets and evaluation. Empir. Softw. Eng. 27 (7) (2022)
Sruti Srinivasa Ragavan, Zhitao Hou, Yun Wang, Andrew D. Gordon, Haidong Zhang, Dongmei Zhang
GridBook: Natural Language Formulas for the Spreadsheet Grid. IUI (2022)
Qiang Fu, Lun Du, Haitao Mao, Xu Chen, Wei Fang, Shi Han, Dongmei Zhang
Neuron with Steady Response Leads to Better Generalization. NeurIPS (2022)
Pingchuan Ma, Rui Ding, Haoyue Dai, Yuanyuan Jiang, Shuai Wang, Shi Han, Dongmei Zhang
ML4S: Learning Causal Skeleton from Vicinal Graphs. KDD (2022)
Zhoujun Cheng, Haoyu Dong, Zhiruo Wang, Ran Jia, Jiaqi Guo, Yan Gao, Shi Han, Jian-Guang Lou, Dongmei Zhang
HiTab: A Hierarchical Table Dataset for Question Answering and Natural Language Generation. ACL (1) (2022)
Wei Tang, Yanlin Wang, Hongyu Zhang, Shi Han, Ping Luo, Dongmei Zhang
LibDB: An Effective and Efficient Framework for Detecting Third-Party Libraries in Binaries. CoRR (2022)
Fan Zhou, Mengkang Hu, Haoyu Dong, Zhoujun Cheng, Fan Cheng, Shi Han, Dongmei Zhang
TaCube: Pre-computing Data Cubes for Answering Numerical-Reasoning Questions over Tabular Data. EMNLP (2022)
Lingbo Li, Tianle Li, Xinyi He, Mengyu Zhou, Shi Han, Dongmei Zhang
ASTA: Learning Analytical Semantics over Tables for Intelligent Data Analysis and Visualization. CoRR (2022)
Lu Wang, Pu Zhao, Chao Du, Chuan Luo, Mengna Su, Fangkai Yang, Yudong Liu, Qingwei Lin, Min Wang, Yingnong Dang, Hongyu Zhang, Saravan Rajmohan, Dongmei Zhang
NENYA: Cascade Reinforcement Learning for Cost-Aware Failure Mitigation at Microsoft 365. KDD (2022)
Ensheng Shi, Wenchao Gu, Yanlin Wang, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Hongbin Sun
Enhancing Semantic Code Search with Multimodal Contrastive Learning and Soft Data Augmentation. CoRR (2022)
Haoyu Dong, Zhoujun Cheng, Xinyi He, Mengyu Zhou, Anda Zhou, Fan Zhou, Ao Liu, Shi Han, Dongmei Zhang
Table Pre-training: A Survey on Model Architectures, Pre-training Objectives, and Downstream Tasks. IJCAI (2022)
Ao Liu, Haoyu Dong, Naoaki Okazaki, Shi Han, Dongmei Zhang
PLOG: Table-to-Logic Pretraining for Logical Table-to-Text Generation. EMNLP (2022)
Fan Hu, Yanlin Wang, Lun Du, Xirong Li, Hongyu Zhang, Shi Han, Dongmei Zhang
Revisiting Code Search in a Two-Stage Paradigm. CoRR (2022)
Xinyi He, Mengyu Zhou, Jialiang Xu, Xiao Lv, Tianle Li, Yijia Shao, Shi Han, Zejian Yuan, Dongmei Zhang
Inferring Tabular Analysis Metadata by Infusing Distribution and Knowledge Information. CoRR (2022)
Shuyue Li, Jiaqi Guo, Jian-Guang Lou, Ming Fan, Ting Liu, Dongmei Zhang
Testing Machine Learning Systems in Industry: An Empirical Study. ICSE (SEIP) (2022)

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Publication Activity (10 Years)

Top Topics

Top Venues

Dongmei Zhang