Qiang Fu

According to our database, Qiang Fu authored at least 48 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Make Heterophilic Graphs Better Fit GNN: A Graph Rewiring Approach.

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

IEEE Trans. Knowl. Data Eng., December, 2024

Scalable Differentiable Causal Discovery in the Presence of Latent Confounders with Skeleton Posterior (Extended Version).

Pingchuan Ma, Rui Ding, Qiang Fu, Jiaru Zhang, Shuai Wang, Shi Han, Dongmei Zhang

CoRR, 2024

Prompting Large Language Models with Divide-and-Conquer Program for Discerning Problem Solving.

Yizhou Zhang, Lun Du, Defu Cao, Qiang Fu, Yan Liu

CoRR, 2024

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, 2024

Professional Network Matters: Connections Empower Person-Job Fit.

Hao Chen, Lun Du, Yuxuan Lu, Qiang Fu, Xu Chen, Shi Han, Yanbin Kang, Guangming Lu, Zi Li

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

Scalable Differentiable Causal Discovery in the Presence of Latent Confounders with Skeleton Posterior.

Pingchuan Ma, Rui Ding, Qiang Fu, Jiaru Zhang, Shuai Wang, Shi Han, Dongmei Zhang

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

TAROT: A Hierarchical Framework with Multitask co-pretraining on Semi-Structured Data Towards Effective Person-Job fit.

Yihan Cao, Xu Chen, Lun Du, Hao Chen, Qiang Fu, Shi Han, Yushu Du, Yanbin Kang, Guangming Lu, Zi Li

Proceedings of the IEEE International Conference on Acoustics, 2024

Text-to-Image Generation for Abstract Concepts.

Jiayi Liao, Xu Chen, Qiang Fu, Lun Du, Xiangnan He, Xiang Wang, Shi Han, Dongmei Zhang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

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, 2023

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, 2023

DIGMN: Dynamic Intent Guided Meta Network for Differentiated User Engagement Forecasting in Online Professional Social Platforms.

Feifan Li, Lun Du, Qiang Fu, Shi Han, Yushu Du, Guangming Lu, Zi Li

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

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, 2023

On Manipulating Signals of User-Item Graph: A Jacobi Polynomial-based Graph Collaborative Filtering.

Jiayan Guo, Lun Du, Xu Chen, Xiaojun Ma, Qiang Fu, Shi Han, Dongmei Zhang, Yan Zhang

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Causal-Based Supervision of Attention in Graph Neural Network: A Better and Simpler Choice towards Powerful Attention.

Hongjun Wang, Jiyuan Chen, Lun Du, Qiang Fu, Shi Han, Xuan Song

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Out-of-Distribution Detection based on In-Distribution Data Patterns Memorization with Modern Hopfield Energy.

Jinsong Zhang, Qiang Fu, Xu Chen, Lun Du, Zelin Li, Gang Wang, Xiaoguang Liu, Shi Han, Dongmei Zhang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Does Deep Learning Learn to Abstract? A Systematic Probing Framework.

Shengnan An, Zeqi Lin, Bei Chen, Qiang Fu, Nanning Zheng, Jian-Guang Lou

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Skill-Based Few-Shot Selection for In-Context Learning.

Shengnan An, Bo Zhou, Zeqi Lin, Qiang Fu, Bei Chen, Nanning Zheng, Weizhu Chen, Jian-Guang Lou

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

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, 2023

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, 2023

Making Language Models Better Reasoners with Step-Aware Verifier.

Yifei Li, Zeqi Lin, Shizhuo Zhang, Qiang Fu, Bei Chen, Jian-Guang Lou, Weizhu Chen

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

How Do In-Context Examples Affect Compositional Generalization?

Shengnan An, Zeqi Lin, Qiang Fu, Bei Chen, Nanning Zheng, Jian-Guang Lou, Dongmei Zhang

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Make Heterophily Graphs Better Fit GNN: A Graph Rewiring Approach.

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

CoRR, 2022

Input-Tuning: Adapting Unfamiliar Inputs to Frozen Pretrained Models.

Shengnan An, Yifei Li, Zeqi Lin, Qian Liu, Bei Chen, Qiang Fu, Weizhu Chen, Nanning Zheng, Jian-Guang Lou

CoRR, 2022

HTGN-BTW: Heterogeneous Temporal Graph Network with Bi-Time-Window Training Strategy for Temporal Link Prediction.

Chongjian Yue, Lun Du, Qiang Fu, Wendong Bi, Hengyu Liu, Yu Gu, Di Yao

CoRR, 2022

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

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

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

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

Neuron with Steady Response Leads to Better Generalization.

Qiang Fu, Lun Du, Haitao Mao, Xu Chen, Wei Fang, Shi Han, Dongmei Zhang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

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, 2022

2021

Source Free Unsupervised Graph Domain Adaptation.

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

CoRR, 2021

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

Lun Du, Xiaozhou Shi, Qiang Fu, Hengyu Liu, Shi Han, Dongmei Zhang

CoRR, 2021

Neuron Campaign for Initialization Guided by Information Bottleneck Theory.

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

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

2017

Experience report on applying software analytics in incident management of online service.

Jian-Guang Lou, Qingwei Lin, Rui Ding, Qiang Fu, Dongmei Zhang, Tao Xie

Autom. Softw. Eng., 2017

2015

YADING: Fast Clustering of Large-Scale Time Series Data.

Rui Ding, Qiang Wang, Yingnong Dang, Qiang Fu, Haidong Zhang, Dongmei Zhang

Proc. VLDB Endow., 2015

Log2: A Cost-Aware Logging Mechanism for Performance Diagnosis.

Rui Ding, Hucheng Zhou, Jian-Guang Lou, Hongyu Zhang, Qingwei Lin, Qiang Fu, Dongmei Zhang, Tao Xie

Proceedings of the 2015 USENIX Annual Technical Conference, 2015

Learning to Log: Helping Developers Make Informed Logging Decisions.

Jieming Zhu, Pinjia He, Qiang Fu, Hongyu Zhang, Michael R. Lyu, Dongmei Zhang

Proceedings of the 37th IEEE/ACM International Conference on Software Engineering, 2015

2014

Correlating events with time series for incident diagnosis.

Chen Luo, Jian-Guang Lou, Qingwei Lin, Qiang Fu, Rui Ding, Dongmei Zhang, Zhe Wang

Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Where do developers log? an empirical study on logging practices in industry.

Qiang Fu, Jieming Zhu, Wenlu Hu, Jian-Guang Lou, Rui Ding, Qingwei Lin, Dongmei Zhang, Tao Xie

Proceedings of the 36th International Conference on Software Engineering, 2014

Identifying Recurrent and Unknown Performance Issues.

Meng-Hui Lim, Jian-Guang Lou, Hongyu Zhang, Qiang Fu, Andrew Beng Jin Teoh, Qingwei Lin, Rui Ding, Dongmei Zhang

Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

Mining Historical Issue Repositories to Heal Large-Scale Online Service Systems.

Rui Ding, Qiang Fu, Jian-Guang Lou, Qingwei Lin, Dongmei Zhang, Tao Xie

Proceedings of the 44th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2014

2013

Contextual analysis of program logs for understanding system behaviors.

Qiang Fu, Jian-Guang Lou, Qingwei Lin, Rui Ding, Dongmei Zhang, Tao Xie

Proceedings of the 10th Working Conference on Mining Software Repositories, 2013

Software analytics for incident management of online services: An experience report.

Jian-Guang Lou, Qingwei Lin, Rui Ding, Qiang Fu, Dongmei Zhang, Tao Xie

Proceedings of the 2013 28th IEEE/ACM International Conference on Automated Software Engineering, 2013

2012

Performance Issue Diagnosis for Online Service Systems.

Qiang Fu, Jian-Guang Lou, Qingwei Lin, Rui Ding, Dongmei Zhang, Zihao Ye, Tao Xie

Proceedings of the IEEE 31st Symposium on Reliable Distributed Systems, 2012

Healing online service systems via mining historical issue repositories.

Rui Ding, Qiang Fu, Jian-Guang Lou, Qingwei Lin, Dongmei Zhang, Jiajun Shen, Tao Xie

Proceedings of the IEEE/ACM International Conference on Automated Software Engineering, 2012

Budget-based control for interactive services with adaptive execution.

Yuxiong He, Zihao Ye, Qiang Fu, Sameh Elnikety

Proceedings of the 9th International Conference on Autonomic Computing, 2012

2010

Mining dependency in distributed systems through unstructured logs analysis.

Jian-Guang Lou, Qiang Fu, Yi Wang, Jiang Li

ACM SIGOPS Oper. Syst. Rev., 2010

Mining Invariants from Console Logs for System Problem Detection.

Jian-Guang Lou, Qiang Fu, Shengqi Yang, Ye Xu, Jiang Li

Proceedings of the 2010 USENIX Annual Technical Conference, 2010

Mining program workflow from interleaved traces.

Jian-Guang Lou, Qiang Fu, Shengqi Yang, Jiang Li, Bin Wu

Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

2009

Execution Anomaly Detection in Distributed Systems through Unstructured Log Analysis.

Qiang Fu, Jian-Guang Lou, Yi Wang, Jiang Li

Proceedings of the ICDM 2009, 2009