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ORCIDDongmei Zhang 0001
Person information
- affiliation: Microsoft Research Asia, Beijing, China
- affiliation (PhD 1999): Carnegie Mellon University, School of Computer Science, Pittsburgh, PA, USA
Other persons with the same name
- Dongmei Zhang (aka: Dong-Mei Zhang) — disambiguation page
- Dongmei Zhang 0002
![[0000-0003-0018-9184]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0003-0018-9184")
— Shandong Jianzhu University, Jinan, China - Dongmei Zhang 0003 — Beijing Normal University, Beijing, China
- Dongmei Zhang 0004 — Army Engineering University of PLA, Nanjing, China (and 1 more)
- Dongmei Zhang 0005 — Zhejiang University of Technology, Hangzhou, China
- Dongmei Zhang 0006 — China University of Geosciences, Wuhan, China
- Dongmei Zhang 0007 — Beijing University of Posts and Telecommunications, Beijing, China
- Dongmei Zhang 0008 — Tongji University, Department of Geotechnical Engineering, Shanghai, China (and 1 more)
- Dongmei Zhang 0009 — Linyi University, School of Mathematics and Statistics, China
- Dongmei Zhang 0010 — Nokia Siemens Networks, Beijing, China
- Dongmei Zhang 0011 — China University of Geosciences, School of Computer Science, Wuhan, China
- Dongmei Zhang 0012 — Qinhuangdao Port Co. Ltd., Qinhuangdao, China (and 1 more)
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2020 – today
- 2024
[j29]Yuanyuan Jiang, Rui Ding, Tianchi Qiao, Yunan Zhu, Shi Han, Dongmei Zhang:
FXAM: A unified and fast interpretable model for predictive analytics. Expert Syst. Appl. 252: 123890 (2024)- [j28]Sibei Chen, Yeye He, Weiwei Cui, Ju Fan, Song Ge, Haidong Zhang, Dongmei Zhang, Surajit Chaudhuri:
Auto-Formula: Recommend Formulas in Spreadsheets using Contrastive Learning for Table Representations. Proc. ACM Manag. Data 2(3): 122 (2024) - [j27]Peng Li, Yeye He, Dror Yashar, Weiwei Cui, Song Ge, Haidong Zhang, Danielle Rifinski Fainman, Dongmei Zhang, Surajit Chaudhuri:
Table-GPT: Table Fine-tuned GPT for Diverse Table Tasks. Proc. ACM Manag. Data 2(3): 176 (2024) - [j26]Wendong Bi, Lun Du, Qiang Fu, Yanlin Wang, Shi Han, Dongmei Zhang:
Make Heterophilic Graphs Better Fit GNN: A Graph Rewiring Approach. IEEE Trans. Knowl. Data Eng. 36(12): 8744-8757 (2024) - [c216]Jiayi Liao, Xu Chen, Qiang Fu, Lun Du, Xiangnan He, Xiang Wang, Shi Han, Dongmei Zhang:
Text-to-Image Generation for Abstract Concepts. AAAI 2024: 3360-3368 - [c215]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. AAAI 2024: 18206-18215 - [c214]Zhuoshi Pan, Qianhui Wu, Huiqiang Jiang, Menglin Xia, Xufang Luo, Jue Zhang, Qingwei Lin, Victor Rühle, Yuqing Yang, Chin-Yew Lin, H. Vicky Zhao, Lili Qiu, Dongmei Zhang:
LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression. ACL (Findings) 2024: 963-981 - [c213]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. ACL (Findings) 2024: 1638-1662 - [c212]Sitao Cheng, Ziyuan Zhuang, Yong Xu, Fangkai Yang, Chaoyun Zhang, Xiaoting Qin, Xiang Huang, Ling Chen, Qingwei Lin, Dongmei Zhang, Saravan Rajmohan, Qi Zhang:
Call Me When Necessary: LLMs can Efficiently and Faithfully Reason over Structured Environments. ACL (Findings) 2024: 4275-4295 - [c211]Lu Wang, Mayukh Das, Fangkai Yang, Chao Du, Bo Qiao, Hang Dong, Chetan Bansal, Si Qin, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang, Qi Zhang:
COIN: Chance-Constrained Imitation Learning for Safe and Adaptive Resource Oversubscription under Uncertainty. CIKM 2024: 4939-4947 - [c210]Chaoyun Zhang, Randolph Yao, Si Qin, Ze Li, Shekhar Agrawal, Binit R. Mishra, Tri Tran, Minghua Ma, Qingwei Lin, Murali Chintalapati, Dongmei Zhang:
Deoxys: A Causal Inference Engine for Unhealthy Node Mitigation in Large-scale Cloud Infrastructure. SoCC 2024: 361-379 - [c209]Mengkang Hu, Haoyu Dong, Ping Luo, Shi Han, Dongmei Zhang:
KET-QA: A Dataset for Knowledge Enhanced Table Question Answering. LREC/COLING 2024: 9705-9719 - [c208]Fan Hu, Yanlin Wang, Lun Du, Hongyu Zhang, Dongmei Zhang, Xirong Li:
Tackling Long Code Search with Splitting, Encoding, and Aggregating. LREC/COLING 2024: 15500-15510 - [c207]Kaikai An, Fangkai Yang, Junting Lu, Liqun Li, Zhixing Ren, Hao Huang, Lu Wang, Pu Zhao, Yu Kang, Hua Ding, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Qi Zhang:
Nissist: An Incident Mitigation Copilot based on Troubleshooting Guides. ECAI 2024: 4471-4474 - [c206]Ziyuan Zhuang, Zhiyang Zhang, Sitao Cheng, Fangkai Yang, Jia Liu, Shujian Huang, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Qi Zhang:
EfficientRAG: Efficient Retriever for Multi-Hop Question Answering. EMNLP 2024: 3392-3411 - [c205]Jia Fu, Xiaoting Qin, Fangkai Yang, Lu Wang, Jue Zhang, Qingwei Lin, Yubo Chen, Dongmei Zhang, Saravan Rajmohan, Qi Zhang:
AutoRAG-HP: Automatic Online Hyper-Parameter Tuning for Retrieval-Augmented Generation. EMNLP (Findings) 2024: 3875-3891 - [c204]Nuo Chen, Zinan Zheng, Ning Wu, Ming Gong, Dongmei Zhang, Jia Li:
Breaking Language Barriers in Multilingual Mathematical Reasoning: Insights and Observations. EMNLP (Findings) 2024: 7001-7016 - [c203]Jiaru Zou, Mengyu Zhou, Tao Li, Shi Han, Dongmei Zhang:
PromptIntern: Saving Inference Costs by Internalizing Recurrent Prompt during Large Language Model Fine-tuning. EMNLP (Findings) 2024: 10288-10305 - [c202]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. EMNLP (Findings) 2024: 10306-10323 - [c201]Xinyi He, Jiaru Zou, Yun Lin, Mengyu Zhou, Shi Han, Zejian Yuan, Dongmei Zhang:
CoCoST: Automatic Complex Code Generation with Online Searching and Correctness Testing. EMNLP 2024: 19433-19451 - [c200]Haoyu Dong, Jianbo Zhao, Yuzhang Tian, Junyu Xiong, Mengyu Zhou, Yun Lin, José Cambronero, Yeye He, Shi Han, Dongmei Zhang:
Encoding Spreadsheets for Large Language Models. EMNLP 2024: 20728-20748 - [c199]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: 674-688 - [c198]Junjielong Xu, Ziang Cui, Yuan Zhao, Xu Zhang, Shilin He, Pinjia He, Liqun Li, Yu Kang, Qingwei Lin, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang:
UniLog: Automatic Logging via LLM and In-Context Learning. ICSE 2024: 14:1-14:12 - [c197]Yuxuan Jiang, Chaoyun Zhang, Shilin He, Zhihao Yang, Minghua Ma, Si Qin, Yu Kang, Yingnong Dang, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang:
Xpert: Empowering Incident Management with Query Recommendations via Large Language Models. ICSE 2024: 92:1-92:13 - [c196]Pingchuan Ma, Rui Ding, Qiang Fu, Jiaru Zhang, Shuai Wang, Shi Han, Dongmei Zhang:
Scalable Differentiable Causal Discovery in the Presence of Latent Confounders with Skeleton Posterior. KDD 2024: 2141-2152 - [c195]Zhaoyang Yu, Changhua Pei, Xin Wang, Minghua Ma, Chetan Bansal, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang, Xidao Wen, Jianhui Li, Gaogang Xie, Dan Pei:
Pre-trained KPI Anomaly Detection Model Through Disentangled Transformer. KDD 2024: 6190-6201 - [c194]Jiawei Lin, Zhaoyun Jiang, Jiaqi Guo, Shizhao Sun, Ting Liu, Zijiang Yang, Jian-Guang Lou, Dongmei Zhang:
IconDM: Text-Guided Icon Set Expansion Using Diffusion Models. ACM Multimedia 2024: 156-165 - [c193]Chaoxiang He, Xiaofan Bai, Xiaojing Ma, Bin B. Zhu, Pingyi Hu, Jiayun Fu, Hai Jin, Dongmei Zhang:
Towards Stricter Black-box Integrity Verification of Deep Neural Network Models. ACM Multimedia 2024: 9875-9884 - [c192]Chaoxiang He, Xiaojing Ma, Bin B. Zhu, Yimiao Zeng, Hanqing Hu, Xiaofan Bai, Hai Jin, Dongmei Zhang:
DorPatch: Distributed and Occlusion-Robust Adversarial Patch to Evade Certifiable Defenses. NDSS 2024 - [c191]Zhaoyang Yu, Minghua Ma, Chaoyun Zhang, Si Qin, Yu Kang, Chetan Bansal, Saravan Rajmohan, Yingnong Dang, Changhua Pei, Dan Pei, Qingwei Lin, Dongmei Zhang:
MonitorAssistant: Simplifying Cloud Service Monitoring via Large Language Models. SIGSOFT FSE Companion 2024: 38-49 - [c190]Haitao Mao, Lun Du, Yujia Zheng, Qiang Fu, Zelin Li, Xu Chen, Shi Han, Dongmei Zhang:
Source Free Graph Unsupervised Domain Adaptation. WSDM 2024: 520-528 - [c189]Yuan Sui, Mengyu Zhou, Mingjie Zhou, Shi Han, Dongmei Zhang:
Table Meets LLM: Can Large Language Models Understand Structured Table Data? A Benchmark and Empirical Study. WSDM 2024: 645-654 - [c188]Chiming Duan, Fangkai Yang, Pu Zhao, Lingling Zheng, Yash Dagli, Yudong Liu, Qingwei Lin, Dongmei Zhang:
SOIL: Score Conditioned Diffusion Model for Imbalanced Cloud Failure Prediction. WWW (Companion Volume) 2024: 65-72 - [c187]Zexin Wang, Changhua Pei, Minghua Ma, Xin Wang, Zhihan Li, Dan Pei, Saravan Rajmohan, Dongmei Zhang, Qingwei Lin, Haiming Zhang, Jianhui Li, Gaogang Xie:
Revisiting VAE for Unsupervised Time Series Anomaly Detection: A Frequency Perspective. WWW 2024: 3096-3105 - [i138]Lu Wang, Mayukh Das, Fangkai Yang, Junjie Sheng, Bo Qiao, Hang Dong, Si Qin, Victor Rühle, Chetan Bansal, Eli Cortez, Íñigo Goiri, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang:
Risk-aware Adaptive Virtual CPU Oversubscription in Microsoft Cloud via Prototypical Human-in-the-loop Imitation Learning. CoRR abs/2401.07033 (2024) - [i137]Lu Wang, Mayukh Das, Fangkai Yang, Chao Du, Bo Qiao, Hang Dong, Si Qin, Chetan Bansal, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Qi Zhang:
COIN: Chance-Constrained Imitation Learning for Uncertainty-aware Adaptive Resource Oversubscription Policy. CoRR abs/2401.07051 (2024) - [i136]Lu Wang, Chao Du, Pu Zhao, Chuan Luo, Zhangchi Zhu, Bo Qiao, Wei Zhang, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Qi Zhang:
Contrastive Learning with Negative Sampling Correction. CoRR abs/2401.08690 (2024) - [i135]Haozhe Li, Minghua Ma, Yudong Liu, Pu Zhao, Lingling Zheng, Ze Li, Yingnong Dang, Murali Chintalapati, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang:
Why does Prediction Accuracy Decrease over Time? Uncertain Positive Learning for Cloud Failure Prediction. CoRR abs/2402.00034 (2024) - [i134]Zexin Wang, Changhua Pei, Minghua Ma, Xin Wang, Zhihan Li, Dan Pei, Saravan Rajmohan, Dongmei Zhang, Qingwei Lin, Haiming Zhang, Jianhui Li, Gaogang Xie:
Revisiting VAE for Unsupervised Time Series Anomaly Detection: A Frequency Perspective. CoRR abs/2402.02820 (2024) - [i133]Chaoyun Zhang, Liqun Li, Shilin He, Xu Zhang, Bo Qiao, Si Qin, Minghua Ma, Yu Kang, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Qi Zhang:
UFO: A UI-Focused Agent for Windows OS Interaction. CoRR abs/2402.07939 (2024) - [i132]Hanshuang Tong, Jun Li, Ning Wu, Ming Gong, Dongmei Zhang, Qi Zhang:
Ploutos: Towards interpretable stock movement prediction with financial large language model. CoRR abs/2403.00782 (2024) - [i131]Sitao Cheng, Ziyuan Zhuang, Yong Xu, Fangkai Yang, Chaoyun Zhang, Xiaoting Qin, Xiang Huang, Ling Chen, Qingwei Lin, Dongmei Zhang, Saravan Rajmohan, Qi Zhang:
Call Me When Necessary: LLMs can Efficiently and Faithfully Reason over Structured Environments. CoRR abs/2403.08593 (2024) - [i130]Zhuoshi Pan, Qianhui Wu, Huiqiang Jiang, Menglin Xia, Xufang Luo, Jue Zhang, Qingwei Lin, Victor Rühle, Yuqing Yang, Chin-Yew Lin, H. Vicky Zhao, Lili Qiu, Dongmei Zhang:
LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression. CoRR abs/2403.12968 (2024) - [i129]Xinyi He, Jiaru Zou, Yun Lin, Mengyu Zhou, Shi Han, Zejian Yuan, Dongmei Zhang:
CONLINE: Complex Code Generation and Refinement with Online Searching and Correctness Testing. CoRR abs/2403.13583 (2024) - [i128]Chaoyun Zhang, Zicheng Ma, Yuhao Wu, Shilin He, Si Qin, Minghua Ma, Xiaoting Qin, Yu Kang, Yuyi Liang, Xiaoyu Gou, Yajie Xue, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Qi Zhang:
AllHands: Ask Me Anything on Large-scale Verbatim Feedback via Large Language Models. CoRR abs/2403.15157 (2024) - [i127]Sibei Chen, Yeye He, Weiwei Cui, Ju Fan, Song Ge, Haidong Zhang, Dongmei Zhang, Surajit Chaudhuri:
Auto-Formula: Recommend Formulas in Spreadsheets using Contrastive Learning for Table Representations. CoRR abs/2404.12608 (2024) - [i126]Dapeng Li, Hang Dong, Lu Wang, Bo Qiao, Si Qin, Qingwei Lin, Dongmei Zhang, Qi Zhang, Zhiwei Xu, Bin Zhang, Guoliang Fan:
Verco: Learning Coordinated Verbal Communication for Multi-agent Reinforcement Learning. CoRR abs/2404.17780 (2024) - [i125]Mengkang Hu, Haoyu Dong, Ping Luo, Shi Han, Dongmei Zhang:
KET-QA: A Dataset for Knowledge Enhanced Table Question Answering. CoRR abs/2405.08099 (2024) - [i124]Jun Liu, Chaoyun Zhang, Jiaxu Qian, Minghua Ma, Si Qin, Chetan Bansal, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang:
Large Language Models can Deliver Accurate and Interpretable Time Series Anomaly Detection. CoRR abs/2405.15370 (2024) - [i123]Shiyu Xia, Junyu Xiong, Haoyu Dong, Jianbo Zhao, Yuzhang Tian, Mengyu Zhou, Yeye He, Shi Han, Dongmei Zhang:
Vision Language Models for Spreadsheet Understanding: Challenges and Opportunities. CoRR abs/2405.16234 (2024) - [i122]Hang Dong, Liwen Zhu, Zhao Shan, Bo Qiao, Fangkai Yang, Si Qin, Chuan Luo, Qingwei Lin, Yuwen Yang, Gurpreet Virdi, Saravan Rajmohan, Dongmei Zhang, Thomas Moscibroda:
An Advanced Reinforcement Learning Framework for Online Scheduling of Deferrable Workloads in Cloud Computing. CoRR abs/2406.01047 (2024) - [i121]Pingchuan Ma, Rui Ding, Qiang Fu, Jiaru Zhang, Shuai Wang, Shi Han, Dongmei Zhang:
Scalable Differentiable Causal Discovery in the Presence of Latent Confounders with Skeleton Posterior (Extended Version). CoRR abs/2406.10537 (2024) - [i120]Kaikai An, Fangkai Yang, Liqun Li, Junting Lu, Sitao Cheng, Lu Wang, Pu Zhao, Lele Cao, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Qi Zhang:
Thread: A Logic-Based Data Organization Paradigm for How-To Question Answering with Retrieval Augmented Generation. CoRR abs/2406.13372 (2024) - [i119]Weihao Liu, Ning Wu, Wenbiao Ding, Shining Liang, Ming Gong, Dongmei Zhang:
Towards Truthful Multilingual Large Language Models: Benchmarking and Alignment Strategies. CoRR abs/2406.14434 (2024) - [i118]Jia Fu, Xiaoting Qin, Fangkai Yang, Lu Wang, Jue Zhang, Qingwei Lin, Yubo Chen, Dongmei Zhang, Saravan Rajmohan, Qi Zhang:
AutoRAG-HP: Automatic Online Hyper-Parameter Tuning for Retrieval-Augmented Generation. CoRR abs/2406.19251 (2024) - [i117]Jiaru Zou, Mengyu Zhou, Tao Li, Shi Han, Dongmei Zhang:
PromptIntern: Saving Inference Costs by Internalizing Recurrent Prompt during Large Language Model Fine-tuning. CoRR abs/2407.02211 (2024) - [i116]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. CoRR abs/2407.04121 (2024) - [i115]Yuzhang Tian, Jianbo Zhao, Haoyu Dong, Junyu Xiong, Shiyu Xia, Mengyu Zhou, Yun Lin, José Cambronero, Yeye He, Shi Han, Dongmei Zhang:
SpreadsheetLLM: Encoding Spreadsheets for Large Language Models. CoRR abs/2407.09025 (2024) - [i114]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. CoRR abs/2407.11033 (2024) - [i113]Zhiyang Zhang, Fangkai Yang, Xiaoting Qin, Jue Zhang, Qingwei Lin, Gong Cheng, Dongmei Zhang, Saravan Rajmohan, Qi Zhang:
The Vision of Autonomic Computing: Can LLMs Make It a Reality? CoRR abs/2407.14402 (2024) - [i112]Mengkang Hu, Pu Zhao, Can Xu, Qingfeng Sun, Jianguang Lou, Qingwei Lin, Ping Luo, Saravan Rajmohan, Dongmei Zhang:
AgentGen: Enhancing Planning Abilities for Large Language Model based Agent via Environment and Task Generation. CoRR abs/2408.00764 (2024) - [i111]Ziyuan Zhuang, Zhiyang Zhang, Sitao Cheng, Fangkai Yang, Jia Liu, Shujian Huang, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Qi Zhang:
EfficientRAG: Efficient Retriever for Multi-Hop Question Answering. CoRR abs/2408.04259 (2024) - [i110]Junting Lu, Zhiyang Zhang, Fangkai Yang, Jue Zhang, Lu Wang, Chao Du, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Qi Zhang:
Turn Every Application into an Agent: Towards Efficient Human-Agent-Computer Interaction with API-First LLM-Based Agents. CoRR abs/2409.17140 (2024) - [i109]Junjie Xing, Yeye He, Mengyu Zhou, Haoyu Dong, Shi Han, Dongmei Zhang, Surajit Chaudhuri:
Table-LLM-Specialist: Language Model Specialists for Tables using Iterative Generator-Validator Fine-tuning. CoRR abs/2410.12164 (2024) - [i108]Chaoyun Zhang, Randolph Yao, Si Qin, Ze Li, Shekhar Agrawal, Binit R. Mishra, Tri Tran, Minghua Ma, Qingwei Lin, Murali Chintalapati, Dongmei Zhang:
Deoxys: A Causal Inference Engine for Unhealthy Node Mitigation in Large-scale Cloud Infrastructure. CoRR abs/2410.17709 (2024) - [i107]Yingzhe Peng, Xiaoting Qin, Zhiyang Zhang, Jue Zhang, Qingwei Lin, Xu Yang, Dongmei Zhang, Saravan Rajmohan, Qi Zhang:
Navigating the Unknown: A Chat-Based Collaborative Interface for Personalized Exploratory Tasks. CoRR abs/2410.24032 (2024) - 2023
- [j25]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): 135 (2023) - [j24]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): 156:1-156:27 (2023) - [j23]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. Proc. VLDB Endow. 17(3): 359-372 (2023) - [j22]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): 1222-1232 (2023) - [j21]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): 3093-3104 (2023) - [c186]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: 12951-12958 - [c185]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: 13400-13408 - [c184]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: 8356-8372 - [c183]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: 9471-9492 - [c182]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: 11027-11052 - [c181]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: 631-643 - [c180]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: 245-255 - [c179]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: 276-285 - [c178]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: 18403-18412 - [c177]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: 522-530 - [c176]Fangkai Yang, Pu Zhao, Zezhong Wang, Lu Wang, Bo Qiao, Jue Zhang, Mohit Garg, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang:
Empower Large Language Model to Perform Better on Industrial Domain-Specific Question Answering. EMNLP (Industry Track) 2023: 294-312 - [c175]Pingchuan Ma, Rui Ding, Shuai Wang, Shi Han, Dongmei Zhang:
InsightPilot: An LLM-Empowered Automated Data Exploration System. EMNLP (Demos) 2023: 346-352 - [c174]Junyi Zhang, Jiaqi Guo, Shizhao Sun, Jian-Guang Lou, Dongmei Zhang:
LayoutDiffusion: Improving Graphic Layout Generation by Discrete Diffusion Probabilistic Models. ICCV 2023: 7192-7202 - [c173]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: 23565-23574 - [c172]Hongwei Han, Mengyu Zhou, Shi Han, Xiu Li, Dongmei Zhang:
CASR: Generating Complex Sequences with Autoregressive Self-Boost Refinement. ICLR 2023 - [c171]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 - [c170]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 - [c169]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: 138-149 - [c168]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: 222-233 - [c167]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: 258-269 - [c166]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: 830-842 - [c165]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: 2198-2210 - [c164]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: 2299-2311 - [c163]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: 298-308 - [c162]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: 39-51 - [c161]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: 602-613 - [c160]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: 941-950 - [c159]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: 3663-3673 - [c158]