Qiang Fu

71 papers A* 18A 12B 1Misc 1Journal 32Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
Test-Time Learning of Causal Structure from Interventional Data.
CoRR
Wei Chen, Rui Ding, Bojun Huang, Yang Zhang, Qiang Fu, Yuxuan Liang, Han Shi, Dongmei Zhang
2025 A conf
Learning Identifiable Structures Helps Avoid Bias in DNN-based Supervised Causal Learning.
AISTATS
Jiaru Zhang, Rui Ding, Qiang Fu, Bojun Huang, Zizhen Deng, Yang Hua, Haibing Guan, Shi Han, Dongmei Zhang
2025 J jnl
Learning Identifiable Structures Helps Avoid Bias in DNN-based Supervised Causal Learning.
CoRR
Jiaru Zhang, Rui Ding, Qiang Fu, Bojun Huang, Zizhen Deng, Yang Hua, Haibing Guan, Shi Han, Dongmei Zhang
2024 J jnl
Hadamard Adapter: An Extreme Parameter-Efficient Adapter Tuning Method for Pre-trained Language Models.
CoRR
Yuyan Chen, Qiang Fu, Ge Fan, Lun Du, Jian-Guang Lou, Shi Han, Dongmei Zhang, Zhixu Li, Yanghua Xiao
2024 J jnl
Hallucination Detection: Robustly Discerning Reliable Answers in Large Language Models.
CoRR
Yuyan Chen, Qiang Fu, Yichen Yuan, Zhihao Wen, Ge Fan, Dayiheng Liu, Dongmei Zhang, Zhixu Li, Yanghua Xiao
2024 J jnl
Make Heterophilic Graphs Better Fit GNN: A Graph Rewiring Approach.
IEEE Trans. Knowl. Data Eng.
Wendong Bi, Lun Du, Qiang Fu, Yanlin Wang, Shi Han, Dongmei Zhang
2024 A conf
Professional Network Matters: Connections Empower Person-Job Fit.
WSDM
Hao Chen, Lun Du, Yuxuan Lu, Qiang Fu, Xu Chen, Shi Han, Yanbin Kang, Guangming Lu, Zi Li
2024 J jnl
Professional Network Matters: Connections Empower Person-Job Fit.
CoRR
Hao Chen, Lun Du, Yuxuan Lu, Qiang Fu, Xu Chen, Shi Han, Yanbin Kang, Guangming Lu, Zi Li
2024 J jnl
Prompting Large Language Models with Divide-and-Conquer Program for Discerning Problem Solving.
CoRR
Yizhou Zhang, Lun Du, Defu Cao, Qiang Fu, Yan Liu
2024 J jnl
Scalable Differentiable Causal Discovery in the Presence of Latent Confounders with Skeleton Posterior (Extended Version).
CoRR
Pingchuan Ma, Rui Ding, Qiang Fu, Jiaru Zhang, Shuai Wang, Shi Han, Dongmei Zhang
2024 A* conf
Scalable Differentiable Causal Discovery in the Presence of Latent Confounders with Skeleton Posterior.
KDD
Pingchuan Ma, Rui Ding, Qiang Fu, Jiaru Zhang, Shuai Wang, Shi Han, Dongmei Zhang
2024 A conf
Source Free Graph Unsupervised Domain Adaptation.
WSDM
Haitao Mao, Lun Du, Yujia Zheng, Qiang Fu, Zelin Li, Xu Chen, Shi Han, Dongmei Zhang
2024 J jnl
TAROT: A Hierarchical Framework with Multitask Co-Pretraining on Semi-Structured Data towards Effective Person-Job Fit.
CoRR
Yihan Cao, Xu Chen, Lun Du, Hao Chen, Qiang Fu, Shi Han, Yushu Du, Yanbin Kang, Guangming Lu, Zi Li
2024 Misc conf
TAROT: A Hierarchical Framework with Multitask co-pretraining on Semi-Structured Data Towards Effective Person-Job fit.
ICASSP
Yihan Cao, Xu Chen, Lun Du, Hao Chen, Qiang Fu, Shi Han, Yushu Du, Yanbin Kang, Guangming Lu, Zi Li
2024 A* conf
Text-to-Image Generation for Abstract Concepts.
AAAI
Jiayi Liao, Xu Chen, Qiang Fu, Lun Du, Xiangnan He, Xiang Wang, Shi Han, Dongmei Zhang
2023 A* conf
Causal-Based Supervision of Attention in Graph Neural Network: A Better and Simpler Choice towards Powerful Attention.
IJCAI
Hongjun Wang, Jiyuan Chen, Lun Du, Qiang Fu, Shi Han, Xuan Song
2023 J jnl
Causal-Based Supervision of Attention in Graph Neural Network: A Better and Simpler Choice towards Powerful Attention.
CoRR
Hongjun Wang, Jiyuan Chen, Lun Du, Qiang Fu, Shi Han, Xuan Song
2023 A conf
DIGMN: Dynamic Intent Guided Meta Network for Differentiated User Engagement Forecasting in Online Professional Social Platforms.
WSDM
Feifan Li, Lun Du, Qiang Fu, Shi Han, Yushu Du, Guangming Lu, Zi Li
2023 A* conf
Does Deep Learning Learn to Abstract? A Systematic Probing Framework.
ICLR
Shengnan An, Zeqi Lin, Bei Chen, Qiang Fu, Nanning Zheng, Jian-Guang Lou
2023 J jnl
Does Deep Learning Learn to Abstract? A Systematic Probing Framework.
CoRR
Shengnan An, Zeqi Lin, Bei Chen, Qiang Fu, Nanning Zheng, Jian-Guang Lou
2023 A conf
Hadamard Adapter: An Extreme Parameter-Efficient Adapter Tuning Method for Pre-trained Language Models.
CIKM
Yuyan Chen, Qiang Fu, Ge Fan, Lun Du, Jian-Guang Lou, Shi Han, Dongmei Zhang, Zhixu Li, Yanghua Xiao
2023 A conf
Hallucination Detection: Robustly Discerning Reliable Answers in Large Language Models.
CIKM
Yuyan Chen, Qiang Fu, Yichen Yuan, Zhihao Wen, Ge Fan, Dayiheng Liu, Dongmei Zhang, Zhixu Li, Yanghua Xiao
2023 A* conf
Homophily-oriented Heterogeneous Graph Rewiring.
WWW
Jiayan Guo, Lun Du, Wendong Bi, Qiang Fu, Xiaojun Ma, Xu Chen, Shi Han, Dongmei Zhang, Yan Zhang
2023 J jnl
Homophily-oriented Heterogeneous Graph Rewiring.
CoRR
Jiayan Guo, Lun Du, Wendong Bi, Qiang Fu, Xiaojun Ma, Xu Chen, Shi Han, Dongmei Zhang, Yan Zhang
2023 — conf
How Do In-Context Examples Affect Compositional Generalization?
ACL (1)
Shengnan An, Zeqi Lin, Qiang Fu, Bei Chen, Nanning Zheng, Jian-Guang Lou, Dongmei Zhang
2023 J jnl
How Do In-Context Examples Affect Compositional Generalization?
CoRR
Shengnan An, Zeqi Lin, Qiang Fu, Bei Chen, Nanning Zheng, Jian-Guang Lou, Dongmei Zhang
2023 A conf
MM-GNN: Mix-Moment Graph Neural Network towards Modeling Neighborhood Feature Distribution.
WSDM
Wendong Bi, Lun Du, Qiang Fu, Yanlin Wang, Shi Han, Dongmei Zhang
2023 — conf
Making Language Models Better Reasoners with Step-Aware Verifier.
ACL (1)
Yifei Li, Zeqi Lin, Shizhuo Zhang, Qiang Fu, Bei Chen, Jian-Guang Lou, Weizhu Chen
2023 A* conf
On Manipulating Signals of User-Item Graph: A Jacobi Polynomial-based Graph Collaborative Filtering.
KDD
Jiayan Guo, Lun Du, Xu Chen, Xiaojun Ma, Qiang Fu, Shi Han, Dongmei Zhang, Yan Zhang
2023 J jnl
On Manipulating Signals of User-Item Graph: A Jacobi Polynomial-based Graph Collaborative Filtering.
CoRR
Jiayan Guo, Lun Du, Xu Chen, Xiaojun Ma, Qiang Fu, Shi Han, Dongmei Zhang, Yan Zhang
2023 A* conf
Out-of-Distribution Detection based on In-Distribution Data Patterns Memorization with Modern Hopfield Energy.
ICLR
Jinsong Zhang, Qiang Fu, Xu Chen, Lun Du, Zelin Li, Gang Wang, Xiaoguang Liu, Shi Han, Dongmei Zhang
2023 A* conf
Robust Mid-Pass Filtering Graph Convolutional Networks.
WWW
Jincheng Huang, Lun Du, Xu Chen, Qiang Fu, Shi Han, Dongmei Zhang
2023 J jnl
Robust Mid-Pass Filtering Graph Convolutional Networks.
CoRR
Jincheng Huang, Lun Du, Xu Chen, Qiang Fu, Shi Han, Dongmei Zhang
2023 A* conf
Skill-Based Few-Shot Selection for In-Context Learning.
EMNLP
Shengnan An, Bo Zhou, Zeqi Lin, Qiang Fu, Bei Chen, Nanning Zheng, Weizhu Chen, Jian-Guang Lou
2023 J jnl
Skill-Based Few-Shot Selection for In-Context Learning.
CoRR
Shengnan An, Bo Zhou, Zeqi Lin, Qiang Fu, Bei Chen, Nanning Zheng, Weizhu Chen, Jian-Guang Lou
2023 J jnl
Text-to-Image Generation for Abstract Concepts.
CoRR
Jiayi Liao, Xu Chen, Qiang Fu, Lun Du, Xiangnan He, Xiang Wang, Shi Han, Dongmei Zhang
2022 J jnl
DIGMN: Dynamic Intent Guided Meta Network for Differentiated User Engagement Forecasting in Online Professional Social Platforms.
CoRR
Feifan Li, Lun Du, Qiang Fu, Shi Han, Yushu Du, Guangming Lu, Zi Li
2022 A* conf
GBK-GNN: Gated Bi-Kernel Graph Neural Networks for Modeling Both Homophily and Heterophily.
WWW
Lun Du, Xiaozhou Shi, Qiang Fu, Xiaojun Ma, Hengyu Liu, Shi Han, Dongmei Zhang
2022 J jnl
HTGN-BTW: Heterogeneous Temporal Graph Network with Bi-Time-Window Training Strategy for Temporal Link Prediction.
CoRR
Chongjian Yue, Lun Du, Qiang Fu, Wendong Bi, Hengyu Liu, Yu Gu, Di Yao
2022 J jnl
Input-Tuning: Adapting Unfamiliar Inputs to Frozen Pretrained Models.
CoRR
Shengnan An, Yifei Li, Zeqi Lin, Qian Liu, Bei Chen, Qiang Fu, Weizhu Chen, Nanning Zheng, Jian-Guang Lou
2022 A conf
Learning Rate Perturbation: A Generic Plugin of Learning Rate Schedule towards Flatter Local Minima.
CIKM
Hengyu Liu, Qiang Fu, Lun Du, Tiancheng Zhang, Ge Yu, Shi Han, Dongmei Zhang
2022 J jnl
Learning Rate Perturbation: A Generic Plugin of Learning Rate Schedule towards Flatter Local Minima.
CoRR
Hengyu Liu, Qiang Fu, Lun Du, Tiancheng Zhang, Ge Yu, Shi Han, Dongmei Zhang
2022 J jnl
MM-GNN: Mix-Moment Graph Neural Network towards Modeling Neighborhood Feature Distribution.
CoRR
Wendong Bi, Lun Du, Qiang Fu, Yanlin Wang, Shi Han, Dongmei Zhang
2022 J jnl
Make Heterophily Graphs Better Fit GNN: A Graph Rewiring Approach.
CoRR
Wendong Bi, Lun Du, Qiang Fu, Yanlin Wang, Shi Han, Dongmei Zhang
2022 A* conf
Neuron with Steady Response Leads to Better Generalization.
NeurIPS
Qiang Fu, Lun Du, Haitao Mao, Xu Chen, Wei Fang, Shi Han, Dongmei Zhang
2022 J jnl
On the Advance of Making Language Models Better Reasoners.
CoRR
Yifei Li, Zeqi Lin, Shizhuo Zhang, Qiang Fu, Bei Chen, Jian-Guang Lou, Weizhu Chen
2022 A* conf
Reasoning Like Program Executors.
EMNLP
Xinyu Pi, Qian Liu, Bei Chen, Morteza Ziyadi, Zeqi Lin, Qiang Fu, Yan Gao, Jian-Guang Lou, Weizhu Chen
2022 J jnl
Reasoning Like Program Executors.
CoRR
Xinyu Pi, Qian Liu, Bei Chen, Morteza Ziyadi, Zeqi Lin, Yan Gao, Qiang Fu, Jian-Guang Lou, Weizhu Chen
2022 A conf
Understanding and Improvement of Adversarial Training for Network Embedding from an Optimization Perspective.
WSDM
Lun Du, Xu Chen, Fei Gao, Qiang Fu, Kunqing Xie, Shi Han, Dongmei Zhang
2021 J jnl
GBK-GNN: Gated Bi-Kernel Graph Neural Networks for Modeling Both Homophily and Heterophily.
CoRR
Lun Du, Xiaozhou Shi, Qiang Fu, Hengyu Liu, Shi Han, Dongmei Zhang
2021 A conf
Neuron Campaign for Initialization Guided by Information Bottleneck Theory.
CIKM
Haitao Mao, Xu Chen, Qiang Fu, Lun Du, Shi Han, Dongmei Zhang
2021 J jnl
Neuron Campaign for Initialization Guided by Information Bottleneck Theory.
CoRR
Haitao Mao, Xu Chen, Qiang Fu, Lun Du, Shi Han, Dongmei Zhang
2021 J jnl
Neuron with Steady Response Leads to Better Generalization.
CoRR
Qiang Fu, Lun Du, Haitao Mao, Xu Chen, Wei Fang, Shi Han, Dongmei Zhang
2021 J jnl
Source Free Unsupervised Graph Domain Adaptation.
CoRR
Haitao Mao, Lun Du, Yujia Zheng, Qiang Fu, Zelin Li, Xu Chen, Shi Han, Dongmei Zhang
2017 J jnl
Experience report on applying software analytics in incident management of online service.
Autom. Softw. Eng.
Jian-Guang Lou, Qingwei Lin, Rui Ding, Qiang Fu, Dongmei Zhang, Tao Xie
2015 — conf
Learning to Log: Helping Developers Make Informed Logging Decisions.
ICSE (1)
Jieming Zhu, Pinjia He, Qiang Fu, Hongyu Zhang, Michael R. Lyu, Dongmei Zhang
2015 — conf
Log2: A Cost-Aware Logging Mechanism for Performance Diagnosis.
USENIX ATC
Rui Ding, Hucheng Zhou, Jian-Guang Lou, Hongyu Zhang, Qingwei Lin, Qiang Fu, Dongmei Zhang, Tao Xie
2015 J jnl
YADING: Fast Clustering of Large-Scale Time Series Data.
Proc. VLDB Endow.
Rui Ding, Qiang Wang, Yingnong Dang, Qiang Fu, Haidong Zhang, Dongmei Zhang
2014 A* conf
Correlating events with time series for incident diagnosis.
KDD
Chen Luo, Jian-Guang Lou, Qingwei Lin, Qiang Fu, Rui Ding, Dongmei Zhang, Zhe Wang
2014 A* conf
Identifying Recurrent and Unknown Performance Issues.
ICDM
Meng-Hui Lim, Jian-Guang Lou, Hongyu Zhang, Qiang Fu, Andrew Beng Jin Teoh, Qingwei Lin, Rui Ding, Dongmei Zhang
2014 A conf
Mining Historical Issue Repositories to Heal Large-Scale Online Service Systems.
DSN
Rui Ding, Qiang Fu, Jian-Guang Lou, Qingwei Lin, Dongmei Zhang, Tao Xie
2014 — conf
Where do developers log? an empirical study on logging practices in industry.
ICSE Companion
Qiang Fu, Jieming Zhu, Wenlu Hu, Jian-Guang Lou, Rui Ding, Qingwei Lin, Dongmei Zhang, Tao Xie
2013 A conf
Contextual analysis of program logs for understanding system behaviors.
MSR
Qiang Fu, Jian-Guang Lou, Qingwei Lin, Rui Ding, Dongmei Zhang, Tao Xie
2013 A* conf
Software analytics for incident management of online services: An experience report.
ASE
Jian-Guang Lou, Qingwei Lin, Rui Ding, Qiang Fu, Dongmei Zhang, Tao Xie
2012 — conf
Budget-based control for interactive services with adaptive execution.
ICAC
Yuxiong He, Zihao Ye, Qiang Fu, Sameh Elnikety
2012 A* conf
Healing online service systems via mining historical issue repositories.
ASE
Rui Ding, Qiang Fu, Jian-Guang Lou, Qingwei Lin, Dongmei Zhang, Jiajun Shen, Tao Xie
2012 B conf
Performance Issue Diagnosis for Online Service Systems.
SRDS
Qiang Fu, Jian-Guang Lou, Qingwei Lin, Rui Ding, Dongmei Zhang, Zihao Ye, Tao Xie
2010 — conf
Mining Invariants from Console Logs for System Problem Detection.
USENIX ATC
Jian-Guang Lou, Qiang Fu, Shengqi Yang, Ye Xu, Jiang Li
2010 J jnl
Mining dependency in distributed systems through unstructured logs analysis.
ACM SIGOPS Oper. Syst. Rev.
Jian-Guang Lou, Qiang Fu, Yi Wang, Jiang Li
2010 A* conf
Mining program workflow from interleaved traces.
KDD
Jian-Guang Lou, Qiang Fu, Shengqi Yang, Jiang Li, Bin Wu
2009 A* conf
Execution Anomaly Detection in Distributed Systems through Unstructured Log Analysis.
ICDM
Qiang Fu, Jian-Guang Lou, Yi Wang, Jiang Li