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ORCIDQiang Fu 0015
Person information
- affiliation: Microsoft Corporation, Beijing, China
Other persons with the same name
- Qiang Fu — disambiguation page
- Qiang Fu 0001 — Chinese Academy of Sciences, Institute of Acoustics, Key Laboratory of Speech Acoustics and Content Understanding, Beijing, China
- Qiang Fu 0002
![[0000-0001-6395-8521]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0001-6395-8521")
— King Abdullah University of Science and Technology, Thuwal, Saudi Arabia (and 2 more) - Qiang Fu 0003 — Changsha University of Science and Technology, School of Energy and Power Engineering, China (and 1 more)
- Qiang Fu 0004 — Beihang University, School of Computer Science and Engineering, VR Lab, Beijing, China
- Qiang Fu 0005 — Northeastern University, MoE, Key Laboratory of Medical Image Computing, Shenyang, China
- Qiang Fu 0006 — Peking University, School of Software and Microelectronics, Beijing, China
- Qiang Fu 0007 — University of Science and Technology Beijing, School of Automation and Electrical Engineering, China (and 1 more)
- Qiang Fu 0008 — Fetch Technologies, El Segundo, CA, USA (and 1 more)
- Qiang Fu 0009 — KU Leuven, Department of Microbial and Molecular Systems, Belgium
- Qiang Fu 0010 — Air Force Engineering University, School of Science, Xi'an, China (and 1 more)
- Qiang Fu 0011 — Victoria University of Wellington, School of Engineering and Computer Science, New Zealand (and 1 more)
- Qiang Fu 0012 — National University of Singapore, Department of Strategy and Policy, Singapore (and 1 more)
- Qiang Fu 0013 — Hunan University, National Engineering Laboratory for Robot Visual Perception / Control Technology College of Electrical and Information Engineering, Changsha, China
- Qiang Fu 0014 — National University of Defense Technology, College of Electronic Science, National Key Laboratory of Science and Technology on Automatic Target Recognition, Changsha, China
- Qiang Fu 0016 — Tencent AI Lab, Shenzhen, China
- Qiang Fu 0017 — Army Engineering University of PLA, Shijiazhuang, China (and 1 more)
- Qiang Fu 0018 — Northeast Agricultural University, College of Engineering, Harbin, China (and 1 more)
- Qiang Fu 0019 — Guangxi Normal University, School of Electronic and Information Engineering, Guangxi Key Lab of Brain-inspired Computing and Intelligent Chips, Guilin, China (and 1 more)
- Qiang Fu 0020 — Air Force Engineering University, College of Air and Missile Defense, Xi'an, China (and 1 more)
- Qiang Fu 0021 — University of Minnesota, Department of Computer Science & Engineering, Twin Cities, MN, USA
- Qiang Fu 0022 — University of British Columbia, Department of Sociology, Vancouver, Canada
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2020 – today
- 2024
[c37]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- [c36]Yihan Cao, Xu Chen, Lun Du, Hao Chen, Qiang Fu, Shi Han, Yushu Du, Yanbin Kang, Guangming Lu, Zi Li:
TAROT: A Hierarchical Framework with Multitask co-pretraining on Semi-Structured Data Towards Effective Person-Job fit. ICASSP 2024: 12046-12050 - [c35]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 - [c34]Hao Chen, Lun Du, Yuxuan Lu, Qiang Fu, Xu Chen, Shi Han, Yanbin Kang, Guangming Lu, Zi Li:
Professional Network Matters: Connections Empower Person-Job Fit. WSDM 2024: 96-105 - [c33]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 - [i24]Hao Chen, Lun Du, Yuxuan Lu, Qiang Fu, Xu Chen, Shi Han, Yanbin Kang, Guangming Lu, Zi Li:
Professional Network Matters: Connections Empower Person-Job Fit. CoRR abs/2401.00010 (2024) - [i23]Yihan Cao, Xu Chen, Lun Du, Hao Chen, Qiang Fu, Shi Han, Yushu Du, Yanbin Kang, Guangming Lu, Zi Li:
TAROT: A Hierarchical Framework with Multitask Co-Pretraining on Semi-Structured Data towards Effective Person-Job Fit. CoRR abs/2401.07525 (2024) - [i22]Yizhou Zhang, Lun Du, Defu Cao, Qiang Fu, Yan Liu:
Prompting Large Language Models with Divide-and-Conquer Program for Discerning Problem Solving. CoRR abs/2402.05359 (2024) - [i21]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) - [i20]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) - [i19]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) - 2023
- [c32]Yifei Li, Zeqi Lin, Shizhuo Zhang, Qiang Fu, Bei Chen, Jian-Guang Lou, Weizhu Chen:
Making Language Models Better Reasoners with Step-Aware Verifier. ACL (1) 2023: 5315-5333 - [c31]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 - [c30]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 - [c29]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 - [c28]Shengnan An, Bo Zhou, Zeqi Lin, Qiang Fu, Bei Chen, Nanning Zheng, Weizhu Chen, Jian-Guang Lou:
Skill-Based Few-Shot Selection for In-Context Learning. EMNLP 2023: 13472-13492 - [c27]Shengnan An, Zeqi Lin, Bei Chen, Qiang Fu, Nanning Zheng, Jian-Guang Lou:
Does Deep Learning Learn to Abstract? A Systematic Probing Framework. ICLR 2023 - [c26]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 - [c25]Hongjun Wang, Jiyuan Chen, Lun Du, Qiang Fu, Shi Han, Xuan Song:
Causal-Based Supervision of Attention in Graph Neural Network: A Better and Simpler Choice towards Powerful Attention. IJCAI 2023: 2315-2323 - [c24]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 - [c23]Wendong Bi, Lun Du, Qiang Fu, Yanlin Wang, Shi Han, Dongmei Zhang:
MM-GNN: Mix-Moment Graph Neural Network towards Modeling Neighborhood Feature Distribution. WSDM 2023: 132-140 - [c22]Feifan Li, Lun Du, Qiang Fu, Shi Han, Yushu Du, Guangming Lu, Zi Li:
DIGMN: Dynamic Intent Guided Meta Network for Differentiated User Engagement Forecasting in Online Professional Social Platforms. WSDM 2023: 384-392 - [c21]Jincheng Huang, Lun Du, Xu Chen, Qiang Fu, Shi Han, Dongmei Zhang:
Robust Mid-Pass Filtering Graph Convolutional Networks. WWW 2023: 328-338 - [c20]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: 511-522 - [i18]Jiayan Guo, Lun Du, Wendong Bi, Qiang Fu, Xiaojun Ma, Xu Chen, Shi Han, Dongmei Zhang, Yan Zhang:
Homophily-oriented Heterogeneous Graph Rewiring. CoRR abs/2302.06299 (2023) - [i17]Jincheng Huang, Lun Du, Xu Chen, Qiang Fu, Shi Han, Dongmei Zhang:
Robust Mid-Pass Filtering Graph Convolutional Networks. CoRR abs/2302.08048 (2023) - [i16]Shengnan An, Zeqi Lin, Bei Chen, Qiang Fu, Nanning Zheng, Jian-Guang Lou:
Does Deep Learning Learn to Abstract? A Systematic Probing Framework. CoRR abs/2302.11978 (2023) - [i15]Shengnan An, Zeqi Lin, Qiang Fu, Bei Chen, Nanning Zheng, Jian-Guang Lou, Dongmei Zhang:
How Do In-Context Examples Affect Compositional Generalization? CoRR abs/2305.04835 (2023) - [i14]Hongjun Wang, Jiyuan Chen, Lun Du, Qiang Fu, Shi Han, Xuan Song:
Causal-Based Supervision of Attention in Graph Neural Network: A Better and Simpler Choice towards Powerful Attention. CoRR abs/2305.13115 (2023) - [i13]Shengnan An, Bo Zhou, Zeqi Lin, Qiang Fu, Bei Chen, Nanning Zheng, Weizhu Chen, Jian-Guang Lou:
Skill-Based Few-Shot Selection for In-Context Learning. CoRR abs/2305.14210 (2023) - [i12]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. CoRR abs/2306.03624 (2023) - [i11]Jiayi Liao, Xu Chen, Qiang Fu, Lun Du, Xiangnan He, Xiang Wang, Shi Han, Dongmei Zhang:
Text-to-Image Generation for Abstract Concepts. CoRR abs/2309.14623 (2023) - 2022
- [c19]Hengyu Liu, Qiang Fu, Lun Du, Tiancheng Zhang, Ge Yu, Shi Han, Dongmei Zhang:
Learning Rate Perturbation: A Generic Plugin of Learning Rate Schedule towards Flatter Local Minima. CIKM 2022: 4234-4238 - [c18]Qiang Fu, Lun Du, Haitao Mao, Xu Chen, Wei Fang, Shi Han, Dongmei Zhang:
Neuron with Steady Response Leads to Better Generalization. NeurIPS 2022 - [c17]Lun Du, Xu Chen, Fei Gao, Qiang Fu, Kunqing Xie, Shi Han, Dongmei Zhang:
Understanding and Improvement of Adversarial Training for Network Embedding from an Optimization Perspective. WSDM 2022: 230-240 - [c16]Lun Du, Xiaozhou Shi, Qiang Fu, Xiaojun Ma, Hengyu Liu, Shi Han, Dongmei Zhang:
GBK-GNN: Gated Bi-Kernel Graph Neural Networks for Modeling Both Homophily and Heterophily. WWW 2022: 1550-1558 - [i10]Chongjian Yue, Lun Du, Qiang Fu, Wendong Bi, Hengyu Liu, Yu Gu, Di Yao:
HTGN-BTW: Heterogeneous Temporal Graph Network with Bi-Time-Window Training Strategy for Temporal Link Prediction. CoRR abs/2202.12713 (2022) - [i9]Shengnan An, Yifei Li, Zeqi Lin, Qian Liu, Bei Chen, Qiang Fu, Weizhu Chen, Nanning Zheng, Jian-Guang Lou:
Input-Tuning: Adapting Unfamiliar Inputs to Frozen Pretrained Models. CoRR abs/2203.03131 (2022) - [i8]Wendong Bi, Lun Du, Qiang Fu, Yanlin Wang, Shi Han, Dongmei Zhang:
MM-GNN: Mix-Moment Graph Neural Network towards Modeling Neighborhood Feature Distribution. CoRR abs/2208.07012 (2022) - [i7]Hengyu Liu, Qiang Fu, Lun Du, Tiancheng Zhang, Ge Yu, Shi Han, Dongmei Zhang:
Learning Rate Perturbation: A Generic Plugin of Learning Rate Schedule towards Flatter Local Minima. CoRR abs/2208.11873 (2022) - [i6]Wendong Bi, Lun Du, Qiang Fu, Yanlin Wang, Shi Han, Dongmei Zhang:
Make Heterophily Graphs Better Fit GNN: A Graph Rewiring Approach. CoRR abs/2209.08264 (2022) - [i5]Feifan Li, Lun Du, Qiang Fu, Shi Han, Yushu Du, Guangming Lu, Zi Li:
DIGMN: Dynamic Intent Guided Meta Network for Differentiated User Engagement Forecasting in Online Professional Social Platforms. CoRR abs/2210.12402 (2022) - 2021
- [c15]Haitao Mao, Xu Chen, Qiang Fu, Lun Du, Shi Han, Dongmei Zhang:
Neuron Campaign for Initialization Guided by Information Bottleneck Theory. CIKM 2021: 3328-3332 - [i4]Haitao Mao, Xu Chen, Qiang Fu, Lun Du, Shi Han, Dongmei Zhang:
Neuron Campaign for Initialization Guided by Information Bottleneck Theory. CoRR abs/2108.06530 (2021) - [i3]Lun Du, Xiaozhou Shi, Qiang Fu, Hengyu Liu, Shi Han, Dongmei Zhang:
GBK-GNN: Gated Bi-Kernel Graph Neural Networks for Modeling Both Homophily and Heterophily. CoRR abs/2110.15777 (2021) - [i2]Qiang Fu, Lun Du, Haitao Mao, Xu Chen, Wei Fang, Shi Han, Dongmei Zhang:
Neuron with Steady Response Leads to Better Generalization. CoRR abs/2111.15414 (2021) - [i1]Haitao Mao, Lun Du, Yujia Zheng, Qiang Fu, Zelin Li, Xu Chen, Shi Han, Dongmei Zhang:
Source Free Unsupervised Graph Domain Adaptation. CoRR abs/2112.00955 (2021)
2010 – 2019
- 2017
- [j3]Jian-Guang Lou, Qingwei Lin, Rui Ding, Qiang Fu, Dongmei Zhang, Tao Xie:
Experience report on applying software analytics in incident management of online service. Autom. Softw. Eng. 24(4): 905-941 (2017) - 2015
- [j2]Rui Ding, Qiang Wang, Yingnong Dang, Qiang Fu, Haidong Zhang, Dongmei Zhang:
YADING: Fast Clustering of Large-Scale Time Series Data. Proc. VLDB Endow. 8(5): 473-484 (2015) - [c14]Jieming Zhu, Pinjia He, Qiang Fu, Hongyu Zhang, Michael R. Lyu, Dongmei Zhang:
Learning to Log: Helping Developers Make Informed Logging Decisions. ICSE (1) 2015: 415-425 - [c13]Rui Ding, Hucheng Zhou, Jian-Guang Lou, Hongyu Zhang, Qingwei Lin, Qiang Fu, Dongmei Zhang, Tao Xie:
Log2: A Cost-Aware Logging Mechanism for Performance Diagnosis. USENIX ATC 2015: 139-150 - 2014
- [c12]Rui Ding, Qiang Fu, Jian-Guang Lou, Qingwei Lin, Dongmei Zhang, Tao Xie:
Mining Historical Issue Repositories to Heal Large-Scale Online Service Systems. DSN 2014: 311-322 - [c11]Meng-Hui Lim, Jian-Guang Lou, Hongyu Zhang, Qiang Fu, Andrew Beng Jin Teoh, Qingwei Lin, Rui Ding, Dongmei Zhang:
Identifying Recurrent and Unknown Performance Issues. ICDM 2014: 320-329 - [c10]Qiang Fu, Jieming Zhu, Wenlu Hu, Jian-Guang Lou, Rui Ding, Qingwei Lin, Dongmei Zhang, Tao Xie:
Where do developers log? an empirical study on logging practices in industry. ICSE Companion 2014: 24-33 - [c9]Chen Luo, Jian-Guang Lou, Qingwei Lin, Qiang Fu, Rui Ding, Dongmei Zhang, Zhe Wang:
Correlating events with time series for incident diagnosis. KDD 2014: 1583-1592 - 2013
- [c8]Jian-Guang Lou, Qingwei Lin, Rui Ding, Qiang Fu, Dongmei Zhang, Tao Xie:
Software analytics for incident management of online services: An experience report. ASE 2013: 475-485 - [c7]Qiang Fu, Jian-Guang Lou, Qingwei Lin, Rui Ding, Dongmei Zhang, Tao Xie:
Contextual analysis of program logs for understanding system behaviors. MSR 2013: 397-400 - 2012
- [c6]Yuxiong He, Zihao Ye, Qiang Fu, Sameh Elnikety:
Budget-based control for interactive services with adaptive execution. ICAC 2012: 105-114 - [c5]Rui Ding, Qiang Fu, Jian-Guang Lou, Qingwei Lin, Dongmei Zhang, Jiajun Shen, Tao Xie:
Healing online service systems via mining historical issue repositories. ASE 2012: 318-321 - [c4]Qiang Fu, Jian-Guang Lou, Qingwei Lin, Rui Ding, Dongmei Zhang, Zihao Ye, Tao Xie:
Performance Issue Diagnosis for Online Service Systems. SRDS 2012: 273-278 - 2010
- [j1]Jian-Guang Lou, Qiang Fu, Yi Wang, Jiang Li:
Mining dependency in distributed systems through unstructured logs analysis. ACM SIGOPS Oper. Syst. Rev. 44(1): 91-96 (2010) - [c3]Jian-Guang Lou, Qiang Fu, Shengqi Yang, Jiang Li, Bin Wu:
Mining program workflow from interleaved traces. KDD 2010: 613-622 - [c2]Jian-Guang Lou, Qiang Fu, Shengqi Yang, Ye Xu, Jiang Li:
Mining Invariants from Console Logs for System Problem Detection. USENIX ATC 2010
2000 – 2009
- 2009
- [c1]Qiang Fu, Jian-Guang Lou, Yi Wang, Jiang Li:
Execution Anomaly Detection in Distributed Systems through Unstructured Log Analysis. ICDM 2009: 149-158
Coauthor Index
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