Dongmei Zhang

2025

doi dblp

Ploutos: Towards Explainable Stock Movement Prediction with Financial Large Language Model.

Hanshuang Tong|Jun Li|Ning Wu|Ming Gong|Dongmei Zhang|Qi Zhang

Companion Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025 - 2 May 2025

2024

doi dblp

COIN: Chance-Constrained Imitation Learning for Safe and Adaptive Resource Oversubscription under Uncertainty.

Lu Wang|Mayukh Das|Fangkai Yang|Chao Du|Bo Qiao|Hang Dong|Chetan Bansal|Si Qin|Saravan Rajmohan|Qingwei Lin|Dongmei Zhang|Qi Zhang

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024

doi dblp

Source Free Graph Unsupervised Domain Adaptation.

Haitao Mao|Lun Du|Yujia Zheng|Qiang Fu|Zelin Li|Xu Chen|Shi Han|Dongmei Zhang

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, WSDM 2024, Merida, Mexico, March 4-8, 2024

doi dblp

Table Meets LLM: Can Large Language Models Understand Structured Table Data? A Benchmark and Empirical Study.

Yuan Sui|Mengyu Zhou|Mingjie Zhou|Shi Han|Dongmei Zhang

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, WSDM 2024, Merida, Mexico, March 4-8, 2024

doi dblp

Revisiting VAE for Unsupervised Time Series Anomaly Detection: A Frequency Perspective.

Zexin Wang|Changhua Pei|Minghua Ma|Xin Wang|Zhihan Li|Dan Pei|Saravan Rajmohan|Dongmei Zhang|Qingwei Lin|Haiming Zhang|Jianhui Li|Gaogang Xie

Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, May 13-17, 2024

doi dblp

SOIL: Score Conditioned Diffusion Model for Imbalanced Cloud Failure Prediction.

Chiming Duan|Fangkai Yang|Pu Zhao|Lingling Zheng|Yash Dagli|Yudong Liu|Qingwei Lin|Dongmei Zhang

Companion Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, Singapore, May 13-17, 2024

2023

doi dblp

Hadamard Adapter: An Extreme Parameter-Efficient Adapter Tuning Method for Pre-trained Language Models.

Yuyan Chen|Qiang Fu|Ge Fan|Lun Du|Jian-Guang Lou|Shi Han|Dongmei Zhang|Zhixu Li|Yanghua Xiao

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023

doi dblp

Hallucination Detection: Robustly Discerning Reliable Answers in Large Language Models.

Yuyan Chen|Qiang Fu|Yichen Yuan|Zhihao Wen|Ge Fan|Dayiheng Liu|Dongmei Zhang|Zhixu Li|Yanghua Xiao

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023

doi dblp

MM-GNN: Mix-Moment Graph Neural Network towards Modeling Neighborhood Feature Distribution.

Wendong Bi|Lun Du|Qiang Fu|Yanlin Wang|Shi Han|Dongmei Zhang

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, WSDM 2023, Singapore, 27 February 2023 - 3 March 2023.

doi dblp

Revisiting Code Search in a Two-Stage Paradigm.

Fan Hu|Yanlin Wang|Lun Du|Xirong Li|Hongyu Zhang|Shi Han|Dongmei Zhang

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, WSDM 2023, Singapore, 27 February 2023 - 3 March 2023.

doi dblp

Homophily-oriented Heterogeneous Graph Rewiring.

Jiayan Guo|Lun Du|Wendong Bi|Qiang Fu|Xiaojun Ma|Xu Chen|Shi Han|Dongmei Zhang|Yan Zhang

Proceedings of the ACM Web Conference 2023, WWW 2023, Austin, TX, USA, 30 April 2023 - 4 May 2023

doi dblp

Robust Mid-Pass Filtering Graph Convolutional Networks.

Jincheng Huang|Lun Du|Xu Chen|Qiang Fu|Shi Han|Dongmei Zhang

Proceedings of the ACM Web Conference 2023, WWW 2023, Austin, TX, USA, 30 April 2023 - 4 May 2023

doi dblp

Learning Cooperative Oversubscription for Cloud by Chance-Constrained Multi-Agent Reinforcement Learning.

Junjie Sheng|Lu Wang|Fangkai Yang|Bo Qiao|Hang Dong|Xiangfeng Wang|Bo Jin|Jun Wang|Si Qin|Saravan Rajmohan|Qingwei Lin|Dongmei Zhang

Proceedings of the ACM Web Conference 2023, WWW 2023, Austin, TX, USA, 30 April 2023 - 4 May 2023

doi dblp

Multi-Agent Reinforcement Learning with Shared Policy for Cloud Quota Management Problem.

Tong Cheng|Hang Dong|Lu Wang|Bo Qiao|Si Qin|Qingwei Lin|Dongmei Zhang|Saravan Rajmohan|Thomas Moscibroda

Companion Proceedings of the ACM Web Conference 2023, WWW 2023, Austin, TX, USA, 30 April 2023 - 4 May 2023

doi dblp

EDITS: An Easy-to-difficult Training Strategy for Cloud Failure Prediction.

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

Companion Proceedings of the ACM Web Conference 2023, WWW 2023, Austin, TX, USA, 30 April 2023 - 4 May 2023

doi dblp

HAPENS: Hardness-Personalized Negative Sampling for Implicit Collaborative Filtering.

Haoxin Liu|Pu Zhao|Si Qin|Yong Shi|Mirror Xu|Qingwei Lin|Dongmei Zhang

Companion Proceedings of the ACM Web Conference 2023, WWW 2023, Austin, TX, USA, 30 April 2023 - 4 May 2023

2022

doi dblp

Learning Rate Perturbation: A Generic Plugin of Learning Rate Schedule towards Flatter Local Minima.

Hengyu Liu|Qiang Fu|Lun Du|Tiancheng Zhang|Ge Yu|Shi Han|Dongmei Zhang

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022

doi dblp

Understanding and Improvement of Adversarial Training for Network Embedding from an Optimization Perspective.

Lun Du|Xu Chen|Fei Gao|Qiang Fu|Kunqing Xie|Shi Han|Dongmei Zhang

WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21 - 25, 2022

doi dblp

GBK-GNN: Gated Bi-Kernel Graph Neural Networks for Modeling Both Homophily and Heterophily.

Lun Du|Xiaozhou Shi|Qiang Fu|Xiaojun Ma|Hengyu Liu|Shi Han|Dongmei Zhang

WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25 - 29, 2022

doi dblp

UniParser: A Unified Log Parser for Heterogeneous Log Data.

Yudong Liu|Xu Zhang|Shilin He|Hongyu Zhang|Liqun Li|Yu Kang|Yong Xu|Minghua Ma|Qingwei Lin|Yingnong Dang|Saravan Rajmohan|Dongmei Zhang

WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25 - 29, 2022

2021

doi dblp

Is a Single Model Enough? MuCoS: A Multi-Model Ensemble Learning Approach for Semantic Code Search.

Lun Du|Xiaozhou Shi|Yanlin Wang|Ensheng Shi|Shi Han|Dongmei Zhang

CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021

doi dblp

Neuron Campaign for Initialization Guided by Information Bottleneck Theory.

Haitao Mao|Xu Chen|Qiang Fu|Lun Du|Shi Han|Dongmei Zhang

CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021

doi dblp

AnaSearch: Extract, Retrieve and Visualize Structured Results from Unstructured Text for Analytical Queries.

Tongliang Li|Lei Fang|Jian-Guang Lou|Zhoujun Li|Dongmei Zhang

WSDM '21, The Fourteenth ACM International Conference on Web Search and Data Mining, Virtual Event, Israel, March 8-12, 2021

doi dblp

NTAM: Neighborhood-Temporal Attention Model for Disk Failure Prediction in Cloud Platforms.

Chuan Luo|Pu Zhao|Bo Qiao|Youjiang Wu|Hongyu Zhang|Wei Wu|Weihai Lu|Yingnong Dang|Saravanakumar Rajmohan|Qingwei Lin|Dongmei Zhang

WWW '21: The Web Conference 2021, Virtual Event / Ljubljana, Slovenia, April 19-23, 2021.

2020

doi dblp

Neural Formatting for Spreadsheet Tables.

Haoyu Dong|Jinyu Wang|Zhouyu Fu|Shi Han|Dongmei Zhang

CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, Virtual Event, Ireland, October 19-23, 2020

doi dblp

Learning Formatting Style Transfer and Structure Extraction for Spreadsheet Tables with a Hybrid Neural Network Architecture.

Haoyu Dong|Jiong Yang|Shi Han|Dongmei Zhang

CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, Virtual Event, Ireland, October 19-23, 2020

2019

doi dblp

Outage Prediction and Diagnosis for Cloud Service Systems.

Yujun Chen|Xian Yang|Qingwei Lin|Hongyu Zhang|Feng Gao|Zhangwei Xu|Yingnong Dang|Dongmei Zhang|Hang Dong|Yong Xu|Hao Li|Yu Kang

The World Wide Web Conference, WWW 2019, San Francisco, CA, USA, May 13-17, 2019