The study and improvement of memory management based on SOS. - Fuqing Wu; Max Q.-H. Meng; Lingfei Wu 001; Zhuancheng Zhang; Xijun Chen (ROBIO, 2008)

A practical evaluation of radio signal strength for mobile robot localization. - Lingfei Wu 001; Max Q.-H. Meng; Zijing Lin; Wu He; Chao Peng; Huawei Liang (ROBIO, 2009)

PRIMME_SVDS: A Preconditioned SVD Solver for Computing Accurately Singular Triplets of Large Matrices based on the PRIMME Eigensolver. - Lingfei Wu 001; Andreas Stathopoulos (CoRR, 2014)

Towards Real-Time Detection and Tracking of Blob-Filaments in Fusion Plasma Big Data. - Lingfei Wu 001; Kesheng Wu; Alex Sim; Michael Churchill; Jong Youl Choi; Andreas Stathopoulos; Choong-Seock Chang; Scott Klasky (CoRR, 2015)

A Preconditioned Hybrid SVD Method for Accurately Computing Singular Triplets of Large Matrices. - Lingfei Wu 001; Andreas Stathopoulos (SIAM J. Sci. Comput., 2015)

Efficient one-vs-one kernel ridge regression for speech recognition. - Jie Chen 007; Lingfei Wu 001; Kartik Audhkhasi; Brian Kingsbury; Bhuvana Ramabhadran (ICASSP, 2016)

Revisiting Random Binning Features: Fast Convergence and Strong Parallelizability. - Lingfei Wu 001; Ian En-Hsu Yen; Jie Chen 007; Rui Yan 001 (KDD, 2016)

Estimating the trace of the matrix inverse by interpolating from the diagonal of an approximate inverse. - Lingfei Wu 001; Jesse Laeuchli; Vassilis Kalantzis; Andreas Stathopoulos; Efstratios Gallopoulos (J. Comput. Phys., 2016)

Towards Real-Time Detection and Tracking of Spatio-Temporal Features: Blob-Filaments in Fusion Plasma. - Lingfei Wu 001; K. John Wu; Alex Sim; Michael Churchill; Jong Youl Choi; Andreas Stathopoulos; Choong-Seock Chang; Scott Klasky (IEEE Trans. Big Data, 2016)

Revisiting Spectral Graph Clustering with Generative Community Models. - Pin-Yu Chen; Lingfei Wu 001 (ICDM, 2017)

Similarity Preserving Representation Learning for Time Series Analysis. - Qi Lei; Jinfeng Yi; Roman Vaculín; Lingfei Wu 001; Inderjit S. Dhillon (CoRR, 2017)

PRIMME_SVDS: A High-Performance Preconditioned SVD Solver for Accurate Large-Scale Computations. - Lingfei Wu 001; Eloy Romero; Andreas Stathopoulos (SIAM J. Sci. Comput., 2017)

Assessing National Development Plans for Alignment With Sustainable Development Goals via Semantic Search. - Jonathan Galsurkar; Moninder Singh; Lingfei Wu 001; Aditya Vempaty; Mikhail Sushkov; Devika Iyer; Serge Kapto; Kush R. Varshney (AAAI, 2018)

Random Warping Series: A Random Features Method for Time-Series Embedding. - Lingfei Wu 001; Ian En-Hsu Yen; Jinfeng Yi; Fangli Xu; Qi Lei; Michael Witbrock (AISTATS, 2018)

Quantized Densely Connected U-Nets for Efficient Landmark Localization. - Zhiqiang Tang 001; Xi Peng 005; Shijie Geng; Lingfei Wu 001; Shaoting Zhang 001; Dimitris N. Metaxas (ECCV (3), 2018)

Word Mover's Embedding: From Word2Vec to Document Embedding. - Lingfei Wu 001; Ian En-Hsu Yen; Kun Xu 005; Fangli Xu; Avinash Balakrishnan; Pin-Yu Chen; Pradeep Ravikumar; Michael J. Witbrock (EMNLP, 2018)

SQL-to-Text Generation with Graph-to-Sequence Model. - Kun Xu 005; Lingfei Wu 001; Zhiguo Wang; Yansong Feng 002; Vadim Sheinin (EMNLP, 2018)

Exploiting Rich Syntactic Information for Semantic Parsing with Graph-to-Sequence Model. - Kun Xu 005; Lingfei Wu 001; Zhiguo Wang; Mo Yu; Liwei Chen; Vadim Sheinin (EMNLP, 2018)

Scalable Spectral Clustering Using Random Binning Features. - Lingfei Wu 001; Pin-Yu Chen; Ian En-Hsu Yen; Fangli Xu; Yinglong Xia; Charu C. Aggarwal (KDD, 2018)

D2KE: From Distance to Kernel and Embedding. - Lingfei Wu 001; Ian En-Hsu Yen; Fangli Xu; Pradeep Ravikumar; Michael Witbrock (CoRR, 2018)

Graph2Seq: Graph to Sequence Learning with Attention-based Neural Networks. - Kun Xu 005; Lingfei Wu 001; Zhiguo Wang; Yansong Feng 002; Vadim Sheinin (CoRR, 2018)

SQL-to-Text Generation with Graph-to-Sequence Model. - Kun Xu 005; Lingfei Wu 001; Zhiguo Wang; Mo Yu; Liwei Chen; Vadim Sheinin (CoRR, 2018)

Discrete Attacks and Submodular Optimization with Applications to Text Classification. - Qi Lei; Lingfei Wu 001; Pin-Yu Chen; Alexandros G. Dimakis; Inderjit S. Dhillon; Michael Witbrock (CoRR, 2018)

Incomplete Label Multi-Task Deep Learning for Spatio-Temporal Event Subtype Forecasting. - Yuyang Gao; Liang Zhao 002; Lingfei Wu 001; Yanfang Ye 001; Hui Xiong; Chaowei Yang (AAAI, 2019)

Multi-stage Deep Classifier Cascades for Open World Recognition. - Xiaojie Guo 002; Amir Alipour-Fanid; Lingfei Wu 001; Hemant Purohit; Xiang Chen 010; Kai Zeng 001; Liang Zhao 002 (CIKM, 2019)

DQ Scheduler: Deep Reinforcement Learning Based Controller Synchronization in Distributed SDN. - Ziyao Zhang; Liang Ma 002; Konstantinos Poularakis; Kin K. Leung; Lingfei Wu 001 (ICC, 2019)

DynGraph2Seq: Dynamic-Graph-to-Sequence Interpretable Learning for Health Stage Prediction in Online Health Forums. - Yuyang Gao; Lingfei Wu 001; Houman Homayoun; Liang Zhao 002 (ICDM, 2019)

Contrast Feature Dependency Pattern Mining for Controlled Experiments with Application to Driving Behavior. - Qingzhe Li; Liang Zhao 002; Yi-Ching Lee; Yanfang Ye 001; Jessica Lin 001; Lingfei Wu 001 (ICDM, 2019)

Fast Incremental von Neumann Graph Entropy Computation: Theory, Algorithm, and Applications. - Pin-Yu Chen; Lingfei Wu 001; Sijia Liu 001; Indika Rajapakse (ICML, 2019)

Similarity Preserving Representation Learning for Time Series Clustering. - Qi Lei; Jinfeng Yi; Roman Vaculín; Lingfei Wu 001; Inderjit S. Dhillon (IJCAI, 2019)

Efficient Global String Kernel with Random Features: Beyond Counting Substructures. - Lingfei Wu 001; Ian En-Hsu Yen; Siyu Huo; Liang Zhao 002; Kun Xu 005; Liang Ma 002; Shouling Ji; Charu C. Aggarwal (KDD, 2019)

Scalable Global Alignment Graph Kernel Using Random Features: From Node Embedding to Graph Embedding. - Lingfei Wu 001; Ian En-Hsu Yen; Zhen Zhang 007; Kun Xu 005; Liang Zhao 002; Xi Peng 005; Yinglong Xia; Charu C. Aggarwal (KDD, 2019)

Discrete Adversarial Attacks and Submodular Optimization with Applications to Text Classification. - Qi Lei; Lingfei Wu 001; Pin-Yu Chen; Alex Dimakis; Inderjit S. Dhillon; Michael Witbrock (SysML, 2019)

Bidirectional Attentive Memory Networks for Question Answering over Knowledge Bases. - Yu Chen 022; Lingfei Wu 001; Mohammed J. Zaki (NAACL-HLT (1), 2019)

Reinforcement Learning Based Text Style Transfer without Parallel Training Corpus. - Hongyu Gong; Suma Bhat; Lingfei Wu 001; Jinjun Xiong; Wen-Mei W. Hwu (NAACL-HLT (1), 2019)

KerGM: Kernelized Graph Matching. - Zhen Zhang 007; Yijian Xiang; Lingfei Wu 001; Bing Xue 003; Arye Nehorai (NeurIPS, 2019)

Graph Enhanced Cross-Domain Text-to-SQL Generation. - Siyu Huo; Tengfei Ma 001; Jie Chen 007; Maria Chang 001; Lingfei Wu 001; Michael Witbrock (TextGraphs@EMNLP, 2019)

High-Fidelity Vector Space Models of Structured Data. - Maxwell Crouse; Achille Fokoue; Maria Chang 001; Pavan Kapanipathi; Ryan Musa; Constantine Nakos; Lingfei Wu 001; Kenneth D. Forbus; Michael Witbrock (CoRR, 2019)

Attacking Graph Convolutional Networks via Rewiring. - Yao Ma 001; Suhang Wang; Lingfei Wu 001; Jiliang Tang (CoRR, 2019)

MUTLA: A Large-Scale Dataset for Multimodal Teaching and Learning Analytics. - Fangli Xu; Lingfei Wu 001; K. P. Thai; Carol Hsu; Wei Wang; Richard Jiarui Tong (CoRR, 2019)

Natural Question Generation with Reinforcement Learning Based Graph-to-Sequence Model. - Yu Chen 022; Lingfei Wu 001; Mohammed J. Zaki (CoRR, 2019)

Improving Graph Neural Network Representations of Logical Formulae with Subgraph Pooling. - Maxwell Crouse; Ibrahim Abdelaziz; Cristina Cornelio; Veronika Thost; Lingfei Wu 001; Kenneth D. Forbus; Achille Fokoue (CoRR, 2019)

Deep Iterative and Adaptive Learning for Graph Neural Networks. - Yu Chen 022; Lingfei Wu 001; Mohammed J. Zaki (CoRR, 2019)

TRPL+K: Thick-Restart Preconditioned Lanczos+K Method for Large Symmetric Eigenvalue Problems. - Lingfei Wu 001; Fei Xue; Andreas Stathopoulos (SIAM J. Sci. Comput., 2019)

A Multi-Perspective Architecture for Semantic Code Search. - Rajarshi Haldar; Lingfei Wu 001; Jinjun Xiong; Julia Hockenmaier (ACL, 2020)

Knowledge Graph-Augmented Abstractive Summarization with Semantic-Driven Cloze Reward. - Luyang Huang; Lingfei Wu 001; Lu Wang 008 (ACL, 2020)

A Joint Neural Model for Information Extraction with Global Features. - Ying Lin; Heng Ji 001; Fei Huang 002; Lingfei Wu 001 (ACL, 2020)

Crossing Variational Autoencoders for Answer Retrieval. - Wenhao Yu 002; Lingfei Wu 001; Qingkai Zeng 001; Shu Tao; Yu Deng 004; Meng Jiang 001 (ACL, 2020)

Graph-to-Tree Neural Networks for Learning Structured Input-Output Translation with Applications to Semantic Parsing and Math Word Problem. - Shucheng Li; Lingfei Wu 001; Shiwei Feng 002; Fangli Xu; Fengyuan Xu; Sheng Zhong 002 (EMNLP (Findings), 2020)

Unsupervised Reference-Free Summary Quality Evaluation via Contrastive Learning. - Hanlu Wu; Tengfei Ma 001; Lingfei Wu 001; Tariro Manyumwa; Shouling Ji (EMNLP (1), 2020)

A Technical Question Answering System with Transfer Learning. - Wenhao Yu 002; Lingfei Wu 001; Yu Deng 004; Ruchi Mahindru; Qingkai Zeng 001; Sinem Güven; Meng Jiang 001 (EMNLP (Demos), 2020)

Reinforcement Learning Based Graph-to-Sequence Model for Natural Question Generation. - Yu Chen 022; Lingfei Wu 001; Mohammed J. Zaki (ICLR, 2020)

GraphFlow: Exploiting Conversation Flow with Graph Neural Networks for Conversational Machine Comprehension. - Yu Chen 022; Lingfei Wu 001; Mohammed J. Zaki (IJCAI, 2020)

RDF-to-Text Generation with Graph-augmented Structural Neural Encoders. - Hanning Gao; Lingfei Wu 001; Po Hu; Fangli Xu (IJCAI, 2020)

Hierarchical Attention Based Spatial-Temporal Graph-to-Sequence Learning for Grounded Video Description. - Kai Shen; Lingfei Wu 001; Fangli Xu; Siliang Tang; Jun Xiao 001; Yueting Zhuang (IJCAI, 2020)

Improved Code Summarization via a Graph Neural Network. - Alexander LeClair; Sakib Haque; Lingfei Wu 001; Collin McMillan (ICPC, 2020)

Interpretable Deep Graph Generation with Node-edge Co-disentanglement. - Xiaojie Guo 002; Liang Zhao 002; Zhao Qin; Lingfei Wu 001; Amarda Shehu; Yanfang Ye 001 (KDD, 2020)

Deep Graph Learning: Foundations, Advances and Applications. - Yu Rong 001; Tingyang Xu; Junzhou Huang; Wenbing Huang 001; Hong Cheng 001; Yao Ma 001; Yiqi Wang 001; Tyler Derr; Lingfei Wu 001; Tengfei Ma 001 (KDD, 2020)

Improved Automatic Summarization of Subroutines via Attention to File Context. - Sakib Haque; Alexander LeClair; Lingfei Wu 001; Collin McMillan (MSR, 2020)

Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddings. - Yu Chen 022; Lingfei Wu 001; Mohammed J. Zaki (NeurIPS, 2020)

Hierarchical Graph Matching Networks for Deep Graph Similarity Learning. - Xiang Ling 001; Lingfei Wu 001; Saizhuo Wang; Tengfei Ma 001; Fangli Xu; Alex X. Liu; Chunming Wu 001; Shouling Ji (CoRR, 2020)

Stronger Transformers for Neural Multi-Hop Question Generation. - Devendra Singh Sachan; Lingfei Wu 001; Mrinmaya Sachan; William L. Hamilton (CoRR, 2020)

Exploiting Heterogeneous Graph Neural Networks with Latent Worker/Task Correlation Information for Label Aggregation in Crowdsourcing. - Hanlu Wu; Tengfei Ma 001; Lingfei Wu 001; Shouling Ji (CoRR, 2020)

Towards Byzantine-Resilient Federated Learning via Group-Wise Robust Aggregation. - Lei Yu 002; Lingfei Wu 001 (Federated Learning, 2020)

Relation-aware Graph Attention Model with Adaptive Self-adversarial Training. - Xiao Qin 003; Nasrullah Sheikh; Berthold Reinwald; Lingfei Wu 001 (AAAI, 2021)

Sequential Search with Off-Policy Reinforcement Learning. - Dadong Miao; Yanan Wang; Guoyu Tang; Lin Liu; Sulong Xu; Bo Long; Yun Xiao; Lingfei Wu 001; Yunjiang Jiang (CIKM, 2021)

Constructing contrastive samples via summarization for text classification with limited annotations. - Yangkai Du; Tengfei Ma 001; Lingfei Wu 001; Fangli Xu; Xuhong Zhang 002; Bo Long; Shouling Ji (EMNLP (Findings), 2021)

Timeline Summarization based on Event Graph Compression via Time-Aware Optimal Transport. - Manling Li; Tengfei Ma 001; Mo Yu; Lingfei Wu 001; Tian Gao; Heng Ji 001; Kathleen R. McKeown (EMNLP (1), 2021)

HAConvGNN: Hierarchical Attention Based Convolutional Graph Neural Network for Code Documentation Generation in Jupyter Notebooks. - Xuye Liu; Dakuo Wang; April Yi Wang; Yufang Hou 001; Lingfei Wu 001 (EMNLP (Findings), 2021)

Adversarial Attack against Cross-lingual Knowledge Graph Alignment. - Zeru Zhang; Zijie Zhang 001; Yang Zhou 001; Lingfei Wu 001; Sixing Wu; Xiaoying Han; Dejing Dou; Tianshi Che; Da Yan 001 (EMNLP (1), 2021)

Expressive 1-Lipschitz Neural Networks for Robust Multiple Graph Learning against Adversarial Attacks. - Xin Zhao; Zeru Zhang; Zijie Zhang 001; Lingfei Wu 001; Jiayin Jin; Yang Zhou 001; Ruoming Jin; Dejing Dou; Da Yan 001 (ICML, 2021)

Graph-Augmented Code Summarization in Computational Notebooks. - April Yi Wang; Dakuo Wang; Xuye Liu; Lingfei Wu 001 (IJCAI, 2021)

Graph Adversarial Attack via Rewiring. - Yao Ma 001; Suhang Wang; Tyler Derr; Lingfei Wu 001; Jiliang Tang (KDD, 2021)

Deep Learning on Graphs for Natural Language Processing. - Lingfei Wu 001; Yu Chen 022; Heng Ji 001; Bang Liu (KDD, 2021)

The Sixth International Workshop on Deep Learning on Graphs - Methods and Applications (DLG-KDD'21). - Lingfei Wu 001; Jiliang Tang; Yinglong Xia; Jian Pei 001; Xiaojie Guo 002 (KDD, 2021)

2nd International Workshop on Industrial Recommendation Systems (IRS). - Jianpeng Xu; Lingfei Wu 001; Xiaolin Pang 001; Mohit Sharma 002; Dawei Yin; George Karypis; Justin Basilico; Philip S. Yu (KDD, 2021)

Linking the Characters: Video-oriented Social Graph Generation via Hierarchical-cumulative GCN. - Shiwei Wu; Joya Chen; Tong Xu 001; Liyi Chen 001; Lingfei Wu 001; Yao Hu 002; Enhong Chen (ACM Multimedia, 2021)

Technical Question Answering across Tasks and Domains. - Wenhao Yu 002; Lingfei Wu 001; Yu Deng 004; Qingkai Zeng 001; Ruchi Mahindru; Sinem Güven; Meng Jiang 001 (NAACL-HLT (Industry Papers), 2021)

Learning to Generate Visual Questions with Noisy Supervision. - Kai Shen; Lingfei Wu 001; Siliang Tang; Yueting Zhuang; Zhen He; Zhuoye Ding; Yun Xiao; Bo Long (NeurIPS, 2021)

Validating the Lottery Ticket Hypothesis with Inertial Manifold Theory. - Zeru Zhang; Jiayin Jin; Zijie Zhang 001; Yang Zhou 001; Xin Zhao; Jiaxiang Ren 001; Ji Liu 003; Lingfei Wu 001; Ruoming Jin; Dejing Dou (NeurIPS, 2021)

A Neural Question Answering System for Basic Questions about Subroutines. - Aakash Bansal; Zachary Eberhart; Lingfei Wu 001; Collin McMillan (SANER, 2021)

Action Word Prediction for Neural Source Code Summarization. - Sakib Haque; Aakash Bansal; Lingfei Wu 001; Collin McMillan (SANER, 2021)

Themisto: Towards Automated Documentation Generation in Computational Notebooks. - April Yi Wang; Dakuo Wang; Jaimie Drozdal; Michael J. Muller; Soya Park; Justin D. Weisz; Xuye Liu; Lingfei Wu 001; Casey Dugan (CoRR, 2021)

HAConvGNN: Hierarchical Attention Based Convolutional Graph Neural Network for Code Documentation Generation in Jupyter Notebooks. - Xuye Liu; Dakuo Wang; April Yi Wang; Lingfei Wu 001 (CoRR, 2021)

Constructing Contrastive samples via Summarization for Text Classification with limited annotations. - Yangkai Du; Tengfei Ma 001; Lingfei Wu 001; Fangli Xu; Xuhong Zhang 002; Shouling Ji (CoRR, 2021)

Heterogeneous Global Graph Neural Networks for Personalized Session-based Recommendation. - Yitong Pang; Lingfei Wu 001; Qi Shen 001; Yiming Zhang 020; Zhihua Wei 001; Fangli Xu; Ethan Chang; Bo Long (CoRR, 2021)

Bridging the Gap between Spatial and Spectral Domains: A Theoretical Framework for Graph Neural Networks. - Zhiqian Chen; Fanglan Chen; Lei Zhang 158; Taoran Ji; Kaiqun Fu; Liang Zhao 002; Feng Chen 001; Lingfei Wu 001; Charu C. Aggarwal; Chang-Tien Lu (CoRR, 2021)

Multi-behavior Graph Contextual Aware Network for Session-based Recommendation. - Qi Shen 001; Lingfei Wu 001; Yitong Pang; Yiming Zhang 020; Zhihua Wei 001; Fangli Xu; Bo Long (CoRR, 2021)

RDF-to-Text Generation with Reinforcement Learning Based Graph-augmented Structural Neural Encoders. - Hanning Gao; Lingfei Wu 001; Po Hu; Zhihua Wei 001; Fangli Xu; Bo Long (CoRR, 2021)

Intelligent Online Selling Point Extraction for E-Commerce Recommendation. - Xiaojie Guo 002; Shugen Wang; Hanqing Zhao; Shiliang Diao; Jiajia Chen; Zhuoye Ding; Zhen He; Yun Xiao; Bo Long; Han Yu 001; Lingfei Wu 001 (CoRR, 2021)

Multi-Choice Questions based Multi-Interest Policy Learning for Conversational Recommendation. - Yiming Zhang 020; Lingfei Wu 001; Qi Shen 001; Yitong Pang; Zhihua Wei 001; Fangli Xu; Bo Long; Jian Pei 001 (CoRR, 2021)

Adversarial Attacks against Windows PE Malware Detection: A Survey of the State-of-the-Art. - Xiang Ling 001; Lingfei Wu 001; Jiangyu Zhang; Zhenqing Qu; Wei Deng; Xiang Chen 017; Chunming Wu 001; Shouling Ji; Tianyue Luo; Jingzheng Wu; Yanjun Wu (CoRR, 2021)

Deep Graph Matching and Searching for Semantic Code Retrieval. - Xiang Ling 001; Lingfei Wu 001; Saizhuo Wang; Gaoning Pan; Tengfei Ma 001; Fangli Xu; Alex X. Liu; Chunming Wu 001; Shouling Ji (ACM Trans. Knowl. Discov. Data, 2021)

Large-scale Cost-Aware Classification Using Feature Computational Dependency Graph. - Qingzhe Li; Amir Alipour-Fanid; Martin Slawski; Yanfang Ye 001; Lingfei Wu 001; Kai Zeng 001; Liang Zhao 002 (IEEE Trans. Knowl. Data Eng., 2021)

Intelligent Online Selling Point Extraction for E-commerce Recommendation. - Xiaojie Guo 002; Shugen Wang; Hanqing Zhao; Shiliang Diao; Jiajia Chen; Zhuoye Ding; Zhen He; Jianchao Lu; Yun Xiao; Bo Long; Han Yu 001; Lingfei Wu 001 (AAAI, 2022)

Automatic Product Copywriting for E-commerce. - Xueying Zhang; Yanyan Zou; Hainan Zhang; Jing Zhou; Shiliang Diao; Jiajia Chen; Zhuoye Ding; Zhen He; Xueqi He; Yun Xiao; Bo Long; Han Yu 001; et al. (AAAI, 2022)

Feeding What You Need by Understanding What You Learned. - Xiaoqiang Wang 007; Bang Liu; Fangli Xu; Bo Long; Siliang Tang; Lingfei Wu 001 (ACL (1), 2022)

Applied Machine Learning Methods for Time Series Forecasting. - Linsey Pang; Wei Liu 007; Lingfei Wu 001; Kexin Xie; Stephen D. Guo; Raghav Chalapathy; Musen Wen (CIKM, 2022)

Automatic Scene-based Topic Channel Construction System for E-Commerce. - Peng Lin; Yanyan Zou; Lingfei Wu 001; Mian Ma; Zhuoye Ding; Bo Long (EMNLP (Industry Track), 2022)

Knowledge Distillation based Contextual Relevance Matching for E-commerce Product Search. - Ziyang Liu 004; Chaokun Wang; Hao Feng 007; Lingfei Wu 001; Liqun Yang (EMNLP (Industry Track), 2022)

QRelScore: Better Evaluating Generated Questions with Deeper Understanding of Context-aware Relevance. - Xiaoqiang Wang 007; Bang Liu; Siliang Tang; Lingfei Wu 001 (EMNLP, 2022)

Robust Meta-learning with Sampling Noise and Label Noise via Eigen-Reptile. - Dong Chen 017; Lingfei Wu 001; Siliang Tang; Xiao Yun; Bo Long; Yueting Zhuang (ICML, 2022)

Input-agnostic Certified Group Fairness via Gaussian Parameter Smoothing. - Jiayin Jin; Zeru Zhang; Yang Zhou 001; Lingfei Wu 001 (ICML, 2022)

Graph-augmented Learning to Rank for Querying Large-scale Knowledge Graph. - Hanning Gao; Lingfei Wu 001; Po Hu; Zhihua Wei 001; Fangli Xu; Bo Long (AACL/IJCNLP (1), 2022)

MalGraph: Hierarchical Graph Neural Networks for Robust Windows Malware Detection. - Xiang Ling 001; Lingfei Wu 001; Wei Deng; Zhenqing Qu; Jiangyu Zhang; Sheng Zhang; Tengfei Ma 001; Bin Wang 062; Chunming Wu 001; Shouling Ji (INFOCOM, 2022)

Automatic Controllable Product Copywriting for E-Commerce. - Xiaojie Guo 002; Qingkai Zeng 001; Meng Jiang 001; Yun Xiao; Bo Long; Lingfei Wu 001 (KDD, 2022)

Automatic Generation of Product-Image Sequence in E-commerce. - Xiaochuan Fan; Chi Zhang 012; Yong Yang; Yue Shang; Xueying Zhang; Zhen He; Yun Xiao; Bo Long; Lingfei Wu 001 (KDD, 2022)

Deep Learning on Graphs: Methods and Applications (DLG-KDD2022). - Lingfei Wu 001; Jian Pei 001; Jiliang Tang; Yinglong Xia; Xiaojie Guo 002 (KDD, 2022)

Heterogeneous Global Graph Neural Networks for Personalized Session-based Recommendation. - Yitong Pang; Lingfei Wu 001; Qi Shen 001; Yiming Zhang 020; Zhihua Wei 001; Fangli Xu; Ethan Chang; Bo Long; Jian Pei 001 (WSDM, 2022)

Accepted Tutorials at The Web Conference 2022. - Riccardo Tommasini 001; Senjuti Basu Roy; Xuan Wang 008; Hongwei Wang; Heng Ji 001; Jiawei Han 001; Preslav Nakov; Giovanni Da San Martino; Firoj Alam; Markus Schedl; Elisabeth Lex; Akash Bharadwaj; et al. (WWW (Companion Volume), 2022)

Compact Graph Structure Learning via Mutual Information Compression. - Nian Liu; Xiao Wang 017; Lingfei Wu 001; Yu Chen 022; Xiaojie Guo 002; Chuan Shi 001 (WWW, 2022)

Multiple Choice Questions based Multi-Interest Policy Learning for Conversational Recommendation. - Yiming Zhang 020; Lingfei Wu 001; Qi Shen 001; Yitong Pang; Zhihua Wei 001; Fangli Xu; Bo Long; Jian Pei 001 (WWW, 2022)

Embedding Knowledge for Document Summarization: A Survey. - Yutong Qu; Wei Emma Zhang; Jian Yang 001; Lingfei Wu 001; Jia Wu 001; Xindong Wu 001 (CoRR, 2022)

Heterogeneous Graph Neural Networks using Self-supervised Reciprocally Contrastive Learning. - Di Jin 001; Cuiying Huo; Jianwu Dang 001; Peican Zhu; Weixiong Zhang; Witold Pedrycz; Lingfei Wu 001 (CoRR, 2022)

Improving Long Tailed Document-Level Relation Extraction via Easy Relation Augmentation and Contrastive Learning. - Yangkai Du; Tengfei Ma 001; Lingfei Wu 001; Yiming Wu; Xuhong Zhang 002; Bo Long; Shouling Ji (CoRR, 2022)

Scenario-based Multi-product Advertising Copywriting Generation for E-Commerce. - Xueying Zhang; Kai Shen; Chi Zhang 012; Xiaochuan Fan; Yun Xiao; Zhen He; Bo Long; Lingfei Wu 001 (CoRR, 2022)

TeKo: Text-Rich Graph Neural Networks with External Knowledge. - Zhizhi Yu; Di Jin 001; Jianguo Wei; Ziyang Liu 004; Yue Shang; Yun Xiao; Jiawei Han 001; Lingfei Wu 001 (CoRR, 2022)

HigeNet: A Highly Efficient Modeling for Long Sequence Time Series Prediction in AIOps. - Jiajia Li 004; Feng Tan; Cheng He; Zikai Wang; Haitao Song; Lingfei Wu 001; Pengwei Hu (CoRR, 2022)

Knowledge-aware document summarization: A survey of knowledge, embedding methods and architectures. - Yutong Qu; Wei Emma Zhang; Jian Yang 001; Lingfei Wu 001; Jia Wu 001 (Knowl. Based Syst., 2022)

Exploiting Heterogeneous Graph Neural Networks with Latent Worker/Task Correlation Information for Label Aggregation in Crowdsourcing. - Hanlu Wu; Tengfei Ma 001; Lingfei Wu 001; Fangli Xu; Shouling Ji (ACM Trans. Knowl. Discov. Data, 2022)

Documentation Matters: Human-Centered AI System to Assist Data Science Code Documentation in Computational Notebooks. - April Yi Wang; Dakuo Wang; Jaimie Drozdal; Michael J. Muller; Soya Park; Justin D. Weisz; Xuye Liu; Lingfei Wu 001; Casey Dugan (ACM Trans. Comput. Hum. Interact., 2022)

T2-GNN: Graph Neural Networks for Graphs with Incomplete Features and Structure via Teacher-Student Distillation. - Cuiying Huo; Di Jin 001; Yawen Li 001; Dongxiao He; Yu-Bin Yang; Lingfei Wu 001 (AAAI, 2023)

Human-Instructed Deep Hierarchical Generative Learning for Automated Urban Planning. - Dongjie Wang; Lingfei Wu 001; Denghui Zhang; Jingbo Zhou; Leilei Sun; Yanjie Fu (AAAI, 2023)

SkillQG: Learning to Generate Question for Reading Comprehension Assessment. - Xiaoqiang Wang 007; Bang Liu; Siliang Tang; Lingfei Wu 001 (ACL (Findings), 2023)

Coarse-to-fine Knowledge Graph Domain Adaptation based on Distantly-supervised Iterative Training. - Wenxiong Liao; Zhengliang Liu; Yiyang Zhang 003; Xiaoke Huang; Fei Qi 007; Siqi Ding; Hui Ren 001; Zihao Wu 001; Haixing Dai; Sheng Li 001; Lingfei Wu 001; Ninghao Liu; et al. (BIBM, 2023)

CP-BCS: Binary Code Summarization Guided by Control Flow Graph and Pseudo Code. - Tong Ye; Lingfei Wu 001; Tengfei Ma 001; Xuhong Zhang 002; Yangkai Du; Peiyu Liu 003; Shouling Ji; Wenhai Wang (EMNLP, 2023)

Graph Neural Networks: Foundation, Frontiers and Applications. - Lingfei Wu 001; Peng Cui 001; Jian Pei 001; Liang Zhao 002; Xiaojie Guo 002 (KDD, 2023)

Deep Learning on Graphs: Methods and Applications (DLG-KDD2023). - Lingfei Wu 001; Jian Pei 001; Jiliang Tang; Yinglong Xia; Xiaojie Guo 002 (KDD, 2023)

RelKD 2023: International Workshop on Resource-Efficient Learning for Knowledge Discovery. - Chuxu Zhang; Dongkuan Xu; Mojan Javaheripi; Subhabrata Mukherjee; Lingfei Wu 001; Yinglong Xia; Jundong Li; Meng Jiang 001; Yanzhi Wang (KDD, 2023)

Meta Policy Learning for Cold-Start Conversational Recommendation. - Zhendong Chu; Hongning Wang; Yun Xiao; Bo Long; Lingfei Wu 001 (WSDM, 2023)

The 2nd Workshop on Interactive and Scalable Information Retrieval Methods for eCommerce (ISIR-eCom). - Vachik S. Dave; Linsey Pang; Xiquan Cui; Lingfei Wu 001; Hamed Zamani; George Karypis (WWW (Companion Volume), 2023)

Tutorials at The Web Conference 2023. - Valeria Fionda; Olaf Hartig; Reyhaneh Abdolazimi; Sihem Amer-Yahia; Hongzhi Chen; Xiao Chen 016; Peng Cui 001; Jeffrey Dalton 001; Xin Luna Dong; Lisette Espín-Noboa; Wenqi Fan; Manuela Fritz; et al. (WWW (Companion Volume), 2023)

KGTrust: Evaluating Trustworthiness of SIoT via Knowledge Enhanced Graph Neural Networks. - Zhizhi Yu; Di Jin 001; Cuiying Huo; Zhiqiang Wang; Xiulong Liu; Heng Qi; Jia Wu 001; Lingfei Wu 001 (WWW, 2023)

Pruning Before Training May Improve Generalization, Provably. - Hongru Yang; Yingbin Liang; Xiaojie Guo 002; Lingfei Wu 001; Zhangyang Wang (CoRR, 2023)

Embracing Uncertainty: Adaptive Vague Preference Policy Learning for Multi-round Conversational Recommendation. - Gangyi Zhang; Chongming Gao; Wenqiang Lei; Xiaojie Guo 002; Shijun Li 002; Lingfei Wu 001; Hongshen Chen; Zhuozhi Ding; Sulong Xu; Xiangnan He 001 (CoRR, 2023)

Graph Neural Networks for Natural Language Processing: A Survey. - Lingfei Wu 001; Yu Chen 022; Kai Shen; Xiaojie Guo 002; Hanning Gao; Shucheng Li; Jian Pei 001; Bo Long (Found. Trends Mach. Learn., 2023)

Modeling Health Stage Development of Patients With Dynamic Attributed Graphs in Online Health Communities. - Yuyang Gao; Tanmoy Chowdhury; Lingfei Wu 001; Liang Zhao 002 (IEEE Trans. Knowl. Data Eng., 2023)

Multilevel Graph Matching Networks for Deep Graph Similarity Learning. - Xiang Ling 001; Lingfei Wu 001; Saizhuo Wang; Tengfei Ma 001; Fangli Xu; Alex X. Liu; Chunming Wu 001; Shouling Ji (IEEE Trans. Neural Networks Learn. Syst., 2023)

Intelligent online selling point extraction and generation for e-commerce recommendation. - Xiaojie Guo 002; Shugen Wang; Hanqing Zhao; Shiliang Diao; Jiajia Chen; Zhuoye Ding; Zhen He; Jianchao Lu; Yun Xiao; Bo Long; Han Yu 001; Lingfei Wu 001 (AI Mag., 2023)

Automatic product copywriting for e-commerce. - Yanyan Zou; Xueying Zhang; Jing Zhou; Shiliang Diao; Jiajia Chen; Zhuoye Ding; Zhen He; Xueqi He; Yun Xiao; Bo Long; Mian Ma; Sulong Xu; et al. (AI Mag., 2023)

Adversarial attacks against Windows PE malware detection: A survey of the state-of-the-art. - Xiang Ling 001; Lingfei Wu 001; Jiangyu Zhang; Zhenqing Qu; Wei Deng; Xiang Chen 017; Yaguan Qian; Chunming Wu 001; Shouling Ji; Tianyue Luo; Jingzheng Wu; Yanjun Wu (Comput. Secur., 2023)

Deep Graph Translation. - Xiaojie Guo 002; Lingfei Wu 001; Liang Zhao 002 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Graph Learning Augmented Heterogeneous Graph Neural Network for Social Recommendation. - Yiming Zhang 020; Lingfei Wu 001; Qi Shen 001; Yitong Pang; Zhihua Wei 001; Fangli Xu; Ethan Chang; Bo Long (Trans. Recomm. Syst., 2023)

AdaCCD: Adaptive Semantic Contrasts Discovery Based Cross Lingual Adaptation for Code Clone Detection. - Yangkai Du; Tengfei Ma 001; Lingfei Wu 001; Xuhong Zhang 002; Shouling Ji (AAAI, 2024)

KG-TREAT: Pre-training for Treatment Effect Estimation by Synergizing Patient Data with Knowledge Graphs. - Ruoqi Liu; Lingfei Wu 001; Ping Zhang 016 (AAAI, 2024)

RCAgent: Cloud Root Cause Analysis by Autonomous Agents with Tool-Augmented Large Language Models. - Zefan Wang; Zichuan Liu; Yingying Zhang; Aoxiao Zhong; Jihong Wang; Fengbin Yin; Lunting Fan; Lingfei Wu 001; Qingsong Wen (CIKM, 2024)

FAC²E: Better Understanding Large Language Model Capabilities by Dissociating Language and Cognition. - Xiaoqiang Wang 007; Lingfei Wu 001; Tengfei Ma 001; Bang Liu (EMNLP, 2024)

Tram: A Token-level Retrieval-augmented Mechanism for Source Code Summarization. - Tong Ye; Lingfei Wu 001; Tengfei Ma 001; Xuhong Zhang 002; Yangkai Du; Peiyu Liu 003; Shouling Ji; Wenhai Wang (NAACL-HLT (Findings), 2024)

The 3rd International Workshop on Interactive and Scalable Information Retrieval Methods for eCommerce (ISIR-eCom 2024). - Vachik S. Dave; Linsey Pang; Xiquan Cui; Chen Luo 003; Hamed Zamani; Lingfei Wu 001; George Karypis (WSDM, 2024)

FAC2E: Better Understanding Large Language Model Capabilities by Dissociating Language and Cognition. - Xiaoqiang Wang 007; Bang Liu; Lingfei Wu 001 (CoRR, 2024)

Iterative or Innovative? A Problem-Oriented Perspective for Code Optimization. - Tong Ye; Tengfei Ma 001; Lingfei Wu 001; Xuhong Zhang 002; Shouling Ji; Wenhai Wang (CoRR, 2024)

GraphFlow+: Exploiting Conversation Flow in Conversational Machine Comprehension with Graph Neural Networks. - Jing Hu; Lingfei Wu 001; Yu Chen 022; Po Hu; Mohammed J. Zaki (Mach. Intell. Res., 2024)

Bridging the Gap between Spatial and Spectral Domains: A Unified Framework for Graph Neural Networks. - Zhiqian Chen; Fanglan Chen; Lei Zhang 158; Taoran Ji; Kaiqun Fu; Liang Zhao 002; Feng Chen 001; Lingfei Wu 001; Charu Aggarwal 001; Chang-Tien Lu (ACM Comput. Surv., 2024)

RustGraph: Robust Anomaly Detection in Dynamic Graphs by Jointly Learning Structural-Temporal Dependency. - Jianhao Guo; Siliang Tang; Juncheng Li 006; Kaihang Pan; Lingfei Wu 001 (IEEE Trans. Knowl. Data Eng., 2024)

CGKPN: Cross-Graph Knowledge Propagation Network with Adaptive Connection for Reasoning-Based Machine Reading Comprehension. - Zhuo Zhao; Guangyou Zhou; Zhiwen Xie; Lingfei Wu 001; Jimmy Xiangji Huang (ACM Trans. Intell. Syst. Technol., 2024)

Toward Subgraph-Guided Knowledge Graph Question Generation With Graph Neural Networks. - Yu Chen 022; Lingfei Wu 001; Mohammed J. Zaki (IEEE Trans. Neural Networks Learn. Syst., 2024)

TrustGNN: Graph Neural Network-Based Trust Evaluation via Learnable Propagative and Composable Nature. - Cuiying Huo; Dongxiao He; Chundong Liang; Di Jin 001; Tie Qiu 001; Lingfei Wu 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

TeKo: Text-Rich Graph Neural Networks With External Knowledge. - Zhizhi Yu; Di Jin 001; Jianguo Wei; Yawen Li 001; Ziyang Liu 004; Yue Shang; Jiawei Han 001; Lingfei Wu 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Ask Questions With Double Hints: Visual Question Generation With Answer-Awareness and Region-Reference. - Kai Shen; Lingfei Wu 001; Siliang Tang; Fangli Xu; Bo Long; Yueting Zhuang; Jian Pei 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

BiG-Fed: Bilevel Optimization Enhanced Graph-Aided Federated Learning. - Pengwei Xing; Songtao Lu; Lingfei Wu 001; Han Yu 001 (IEEE Trans. Big Data, 2024)

Multi-Interest Multi-Round Conversational Recommendation System with Fuzzy Feedback Based User Simulator. - Qi Shen 001; Lingfei Wu 001; Yiming Zhang 020; Yitong Pang; Zhihua Wei 001; Fangli Xu; Bo Long; Jian Pei 001 (Trans. Recomm. Syst., 2024)

Uncovering LLM-Generated Code: A Zero-Shot Synthetic Code Detector via Code Rewriting. - Tong Ye; Yangkai Du; Tengfei Ma 001; Lingfei Wu 001; Xuhong Zhang 002; Shouling Ji; Wenhai Wang (AAAI, 2025)

Heterogeneous Graph Neural Networks using Self-supervised Reciprocally Contrastive Learning. - Cuiying Huo; Dongxiao He; Yawen Li 001; Di Jin 001; Jianwu Dang 001; Witold Pedrycz; Lingfei Wu 001; Weixiong Zhang (ACM Trans. Intell. Syst. Technol., 2025)

Dual Enhanced Meta-Learning With Adaptive Task Scheduler for Cold-Start Recommendation. - Dongxiao He; Jiaqi Cui; Xiaobao Wang; Guojie Song; Yuxiao Huang; Lingfei Wu 001 (IEEE Trans. Knowl. Data Eng., 2025)

Vague Preference Policy Learning for Conversational Recommendation. - Gangyi Zhang; Chongming Gao; Wenqiang Lei; Xiaojie Guo 002; Shijun Li 002; Hongshen Chen; Zhuozhi Ding; Sulong Xu; Lingfei Wu 001 (ACM Trans. Inf. Syst., 2025)

Towards Expressive Spectral-Temporal Graph Neural Networks for Time Series Forecasting. - Ming Jin 005; Guangsi Shi; Yuan-Fang Li; Bo Xiong; Tian Zhou 004; Flora D. Salim; Liang Zhao 002; Lingfei Wu 001; Qingsong Wen; Shirui Pan (IEEE Trans. Pattern Anal. Mach. Intell., 2025)