Execution Anomaly Detection in Distributed Systems through Unstructured Log Analysis. - Qiang Fu 015; Jian-Guang Lou; Yi Wang 010; Jiang Li 008 (ICDM, 2009)

Mining program workflow from interleaved traces. - Jian-Guang Lou; Qiang Fu 015; Shengqi Yang; Jiang Li 008; Bin Wu 001 (KDD, 2010)

Mining Invariants from Console Logs for System Problem Detection. - Jian-Guang Lou; Qiang Fu 015; Shengqi Yang; Ye Xu; Jiang Li 008 (USENIX ATC, 2010)

Mining dependency in distributed systems through unstructured logs analysis. - Jian-Guang Lou; Qiang Fu 015; Yi Wang 010; Jiang Li 008 (ACM SIGOPS Oper. Syst. Rev., 2010)

Budget-based control for interactive services with adaptive execution. - Yuxiong He; Zihao Ye; Qiang Fu 015; Sameh Elnikety (ICAC, 2012)

Healing online service systems via mining historical issue repositories. - Rui Ding 001; Qiang Fu 015; Jian-Guang Lou; Qingwei Lin; Dongmei Zhang 001; Jiajun Shen; Tao Xie 001 (ASE, 2012)

Performance Issue Diagnosis for Online Service Systems. - Qiang Fu 015; Jian-Guang Lou; Qingwei Lin; Rui Ding 001; Dongmei Zhang 001; Zihao Ye; Tao Xie 001 (SRDS, 2012)

Software analytics for incident management of online services: An experience report. - Jian-Guang Lou; Qingwei Lin; Rui Ding 001; Qiang Fu 015; Dongmei Zhang 001; Tao Xie 001 (ASE, 2013)

Contextual analysis of program logs for understanding system behaviors. - Qiang Fu 015; Jian-Guang Lou; Qingwei Lin; Rui Ding 001; Dongmei Zhang 001; Tao Xie 001 (MSR, 2013)

Mining Historical Issue Repositories to Heal Large-Scale Online Service Systems. - Rui Ding 001; Qiang Fu 015; Jian-Guang Lou; Qingwei Lin; Dongmei Zhang 001; Tao Xie 001 (DSN, 2014)

Identifying Recurrent and Unknown Performance Issues. - Meng-Hui Lim; Jian-Guang Lou; Hongyu Zhang 002; Qiang Fu 015; Andrew Beng Jin Teoh; Qingwei Lin; Rui Ding 001; Dongmei Zhang 001 (ICDM, 2014)

Where do developers log? an empirical study on logging practices in industry. - Qiang Fu 015; Jieming Zhu; Wenlu Hu; Jian-Guang Lou; Rui Ding 001; Qingwei Lin; Dongmei Zhang 001; Tao Xie 001 (ICSE Companion, 2014)

Correlating events with time series for incident diagnosis. - Chen Luo; Jian-Guang Lou; Qingwei Lin; Qiang Fu 015; Rui Ding 001; Dongmei Zhang 001; Zhe Wang 007 (KDD, 2014)

Learning to Log: Helping Developers Make Informed Logging Decisions. - Jieming Zhu; Pinjia He; Qiang Fu 015; Hongyu Zhang 002; Michael R. Lyu; Dongmei Zhang 001 (ICSE (1), 2015)

Log2: A Cost-Aware Logging Mechanism for Performance Diagnosis. - Rui Ding 001; Hucheng Zhou; Jian-Guang Lou; Hongyu Zhang 002; Qingwei Lin; Qiang Fu 015; Dongmei Zhang 001; Tao Xie 001 (USENIX ATC, 2015)

YADING: Fast Clustering of Large-Scale Time Series Data. - Rui Ding 001; Qiang Wang; Yingnong Dang; Qiang Fu 015; Haidong Zhang; Dongmei Zhang 001 (Proc. VLDB Endow., 2015)

Experience report on applying software analytics in incident management of online service. - Jian-Guang Lou; Qingwei Lin; Rui Ding 001; Qiang Fu 015; Dongmei Zhang 001; Tao Xie 001 (Autom. Softw. Eng., 2017)

Neuron Campaign for Initialization Guided by Information Bottleneck Theory. - Haitao Mao; Xu Chen 022; Qiang Fu 015; Lun Du; Shi Han; Dongmei Zhang 001 (CIKM, 2021)

GBK-GNN: Gated Bi-Kernel Graph Neural Networks for Modeling Both Homophily and Heterophily. - Lun Du; Xiaozhou Shi; Qiang Fu 015; Hengyu Liu 001; Shi Han; Dongmei Zhang 001 (CoRR, 2021)

Source Free Unsupervised Graph Domain Adaptation. - Haitao Mao; Lun Du; Yujia Zheng 001; Qiang Fu 015; Zelin Li 001; Xu Chen 022; Shi Han; Dongmei Zhang 001 (CoRR, 2021)

Learning Rate Perturbation: A Generic Plugin of Learning Rate Schedule towards Flatter Local Minima. - Hengyu Liu 001; Qiang Fu 015; Lun Du; Tiancheng Zhang 001; Ge Yu 001; Shi Han; Dongmei Zhang 001 (CIKM, 2022)

Neuron with Steady Response Leads to Better Generalization. - Qiang Fu 015; Lun Du; Haitao Mao; Xu Chen 022; Wei Fang; Shi Han; Dongmei Zhang 001 (NeurIPS, 2022)

Understanding and Improvement of Adversarial Training for Network Embedding from an Optimization Perspective. - Lun Du; Xu Chen 022; Fei Gao; Qiang Fu 015; Kunqing Xie; Shi Han; Dongmei Zhang 001 (WSDM, 2022)

GBK-GNN: Gated Bi-Kernel Graph Neural Networks for Modeling Both Homophily and Heterophily. - Lun Du; Xiaozhou Shi; Qiang Fu 015; Xiaojun Ma; Hengyu Liu 001; Shi Han; Dongmei Zhang 001 (WWW, 2022)

HTGN-BTW: Heterogeneous Temporal Graph Network with Bi-Time-Window Training Strategy for Temporal Link Prediction. - Chongjian Yue; Lun Du; Qiang Fu 015; Wendong Bi; Hengyu Liu 001; Yu Gu 002; Di Yao 001 (CoRR, 2022)

Input-Tuning: Adapting Unfamiliar Inputs to Frozen Pretrained Models. - Shengnan An; Yifei Li 005; Zeqi Lin; Qian Liu; Bei Chen; Qiang Fu 015; Weizhu Chen; Nanning Zheng 001; Jian-Guang Lou (CoRR, 2022)

Make Heterophily Graphs Better Fit GNN: A Graph Rewiring Approach. - Wendong Bi; Lun Du; Qiang Fu 015; Yanlin Wang 001; Shi Han; Dongmei Zhang 001 (CoRR, 2022)

How Do In-Context Examples Affect Compositional Generalization? - Shengnan An; Zeqi Lin; Qiang Fu 015; Bei Chen; Nanning Zheng 001; Jian-Guang Lou; Dongmei Zhang 001 (ACL (1), 2023)

Making Language Models Better Reasoners with Step-Aware Verifier. - Yifei Li 005; Zeqi Lin; Shizhuo Zhang; Qiang Fu 015; Bei Chen; Jian-Guang Lou; Weizhu Chen (ACL (1), 2023)

Hadamard Adapter: An Extreme Parameter-Efficient Adapter Tuning Method for Pre-trained Language Models. - Yuyan Chen; Qiang Fu 015; Ge Fan; Lun Du; Jian-Guang Lou; Shi Han; Dongmei Zhang 001; Zhixu Li; Yanghua Xiao (CIKM, 2023)

Hallucination Detection: Robustly Discerning Reliable Answers in Large Language Models. - Yuyan Chen; Qiang Fu 015; Yichen Yuan; Zhihao Wen; Ge Fan; Dayiheng Liu; Dongmei Zhang 001; Zhixu Li; Yanghua Xiao (CIKM, 2023)

Skill-Based Few-Shot Selection for In-Context Learning. - Shengnan An; Bo Zhou; Zeqi Lin; Qiang Fu 015; Bei Chen; Nanning Zheng 001; Weizhu Chen; Jian-Guang Lou (EMNLP, 2023)

Does Deep Learning Learn to Abstract? A Systematic Probing Framework. - Shengnan An; Zeqi Lin; Bei Chen; Qiang Fu 015; Nanning Zheng 001; Jian-Guang Lou (ICLR, 2023)

Out-of-Distribution Detection based on In-Distribution Data Patterns Memorization with Modern Hopfield Energy. - Jinsong Zhang; Qiang Fu 015; Xu Chen 022; Lun Du; Zelin Li 001; Gang Wang 001; Xiaoguang Liu 001; Shi Han; Dongmei Zhang 001 (ICLR, 2023)

Causal-Based Supervision of Attention in Graph Neural Network: A Better and Simpler Choice towards Powerful Attention. - Hongjun Wang 007; Jiyuan Chen; Lun Du; Qiang Fu 015; Shi Han; Xuan Song 001 (IJCAI, 2023)

On Manipulating Signals of User-Item Graph: A Jacobi Polynomial-based Graph Collaborative Filtering. - Jiayan Guo; Lun Du; Xu Chen 022; Xiaojun Ma; Qiang Fu 015; Shi Han; Dongmei Zhang 001; Yan Zhang (KDD, 2023)

MM-GNN: Mix-Moment Graph Neural Network towards Modeling Neighborhood Feature Distribution. - Wendong Bi; Lun Du; Qiang Fu 015; Yanlin Wang 001; Shi Han; Dongmei Zhang 001 (WSDM, 2023)

DIGMN: Dynamic Intent Guided Meta Network for Differentiated User Engagement Forecasting in Online Professional Social Platforms. - Feifan Li; Lun Du; Qiang Fu 015; Shi Han; Yushu Du; Guangming Lu; Zi Li (WSDM, 2023)

Homophily-oriented Heterogeneous Graph Rewiring. - Jiayan Guo; Lun Du; Wendong Bi; Qiang Fu 015; Xiaojun Ma; Xu Chen 022; Shi Han; Dongmei Zhang 001; Yan Zhang (WWW, 2023)

Robust Mid-Pass Filtering Graph Convolutional Networks. - Jincheng Huang 005; Lun Du; Xu Chen 022; Qiang Fu 015; Shi Han; Dongmei Zhang 001 (WWW, 2023)

Text-to-Image Generation for Abstract Concepts. - Jiayi Liao; Xu Chen 022; Qiang Fu 015; Lun Du; Xiangnan He 001; Xiang Wang 010; Shi Han; Dongmei Zhang 001 (AAAI, 2024)

TAROT: A Hierarchical Framework with Multitask co-pretraining on Semi-Structured Data Towards Effective Person-Job fit. - Yihan Cao; Xu Chen 022; Lun Du; Hao Chen; Qiang Fu 015; Shi Han; Yushu Du; Yanbin Kang; Guangming Lu; Zi Li (ICASSP, 2024)

Scalable Differentiable Causal Discovery in the Presence of Latent Confounders with Skeleton Posterior. - Pingchuan Ma 004; Rui Ding 001; Qiang Fu 015; Jiaru Zhang; Shuai Wang 011; Shi Han; Dongmei Zhang 001 (KDD, 2024)

Professional Network Matters: Connections Empower Person-Job Fit. - Hao Chen; Lun Du; Yuxuan Lu 003; Qiang Fu 015; Xu Chen 022; Shi Han; Yanbin Kang; Guangming Lu; Zi Li (WSDM, 2024)

Source Free Graph Unsupervised Domain Adaptation. - Haitao Mao; Lun Du; Yujia Zheng 001; Qiang Fu 015; Zelin Li 001; Xu Chen 022; Shi Han; Dongmei Zhang 001 (WSDM, 2024)

Prompting Large Language Models with Divide-and-Conquer Program for Discerning Problem Solving. - Yizhou Zhang; Lun Du; Defu Cao; Qiang Fu 015; Yan Liu 002 (CoRR, 2024)

Scalable Differentiable Causal Discovery in the Presence of Latent Confounders with Skeleton Posterior (Extended Version). - Pingchuan Ma 004; Rui Ding 001; Qiang Fu 015; Jiaru Zhang; Shuai Wang 011; Shi Han; Dongmei Zhang 001 (CoRR, 2024)

Make Heterophilic Graphs Better Fit GNN: A Graph Rewiring Approach. - Wendong Bi; Lun Du; Qiang Fu 015; Yanlin Wang 001; Shi Han; Dongmei Zhang 001 (IEEE Trans. Knowl. Data Eng., 2024)

Learning Identifiable Structures Helps Avoid Bias in DNN-based Supervised Causal Learning. - Jiaru Zhang; Rui Ding 001; Qiang Fu 015; Bojun Huang; Zizhen Deng; Yang Hua 001; Haibing Guan; Shi Han; Dongmei Zhang 001 (CoRR, 2025)