Lingfei Wu

ORCID

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 217

Top Venues

Publications

Zhiqian Chen, Fanglan Chen, Lei Zhang, Taoran Ji, Kaiqun Fu, Liang Zhao, Feng Chen, Lingfei Wu, Charu Aggarwal, Chang-Tien Lu
Bridging the Gap between Spatial and Spectral Domains: A Unified Framework for Graph Neural Networks. ACM Comput. Surv. 56 (5) (2024)
Zak Risha, Yiling Lin, Erin Leahey, Lingfei Wu
Replacing the Renaissance Man: Are Teams More than the Sum of Their Parts? CoRR (2023)
Zefan Wang, Zichuan Liu, Yingying Zhang, Aoxiao Zhong, Lunting Fan, Lingfei Wu, Qingsong Wen
RCAgent: Cloud Root Cause Analysis by Autonomous Agents with Tool-Augmented Large Language Models. CoRR (2023)
Zhizhi Yu, Di Jin, Cuiying Huo, Zhiqiang Wang, Xiulong Liu, Heng Qi, Jia Wu, Lingfei Wu
KGTrust: Evaluating Trustworthiness of SIoT via Knowledge Enhanced Graph Neural Networks. CoRR (2023)
Xiaojie Guo, Shugen Wang, Hanqing Zhao, Shiliang Diao, Jiajia Chen, Zhuoye Ding, Zhen He, Jianchao Lu, Yun Xiao, Bo Long, Han Yu, Lingfei Wu
Intelligent online selling point extraction and generation for e-commerce recommendation. AI Mag. 44 (1) (2023)
Xiaojie Guo, Lingfei Wu, Liang Zhao
Deep Graph Translation. IEEE Trans. Neural Networks Learn. Syst. 34 (11) (2023)
Valeria Fionda, Olaf Hartig, Reyhaneh Abdolazimi, Sihem Amer-Yahia, Hongzhi Chen, Xiao Chen, Peng Cui, Jeffrey Dalton, Xin Luna Dong, Lisette Espín-Noboa, Wenqi Fan, Manuela Fritz, Quan Gan, Jingtong Gao, Xiaojie Guo, Torsten Hahmann, Jiawei Han, Soyeon Caren Han, Estevam Hruschka, Liang Hu, Jiaxin Huang, Utkarshani Jaimini, Olivier Jeunen, Yushan Jiang, Fariba Karimi, George Karypis, Krishnaram Kenthapadi, Himabindu Lakkaraju, Hady W. Lauw, Thai Le, Trung-Hoang Le, Dongwon Lee, Geon Lee, Liat Levontin, Cheng-Te Li, Haoyang Li, Ying Li, Jay Chiehen Liao, Qidong Liu, Usha Lokala, Ben London, Siqu Long, Hande Küçük-McGinty, Yu Meng, Seungwhan Moon, Usman Naseem, Pradeep Natarajan, Behrooz Omidvar-Tehrani, Zijie Pan, Devesh Parekh, Jian Pei, Tiago Peixoto, Steven Pemberton, Josiah Poon, Filip Radlinski, Federico Rossetto, Kaushik Roy, Aghiles Salah, Mehrnoosh Sameki, Amit P. Sheth, Cogan Shimizu, Kijung Shin, Dongjin Song, Julia Stoyanovich, Dacheng Tao, Johanne Trippas, Quoc Truong, Yu-Che Tsai, Adaku Uchendu, Bram van den Akker, Lin Wang, Minjie Wang, Shoujin Wang, Xin Wang, Ingmar Weber, Henry Weld, Lingfei Wu, Da Xu, Yifan Ethan Xu, Shuyuan Xu, Bo Yang, Ke Yang, Elad Yom-Tov, Jaemin Yoo, Zhou Yu, Reza Zafarani, Hamed Zamani, Meike Zehlike, Qi Zhang, Xikun Zhang, Yongfeng Zhang, Yu Zhang, Zheng Zhang, Liang Zhao, Xiangyu Zhao, Wenwu Zhu
Tutorials at The Web Conference 2023. WWW (Companion Volume) (2023)
Cuiying Huo, Di Jin, Yawen Li, Dongxiao He, Yu-Bin Yang, Lingfei Wu
T2-GNN: Graph Neural Networks for Graphs with Incomplete Features and Structure via Teacher-Student Distillation. AAAI (2023)
Zhendong Chu, Hongning Wang, Yun Xiao, Bo Long, Lingfei Wu
Meta Policy Learning for Cold-Start Conversational Recommendation. WSDM (2023)
Yiming Zhang, Lingfei Wu, Qi Shen, Yitong Pang, Zhihua Wei, Fangli Xu, Ethan Chang, Bo Long
Graph Learning Augmented Heterogeneous Graph Neural Network for Social Recommendation. Trans. Recomm. Syst. 1 (4) (2023)
Xiang Ling, Lingfei Wu, Jiangyu Zhang, Zhenqing Qu, Wei Deng, Xiang Chen, Yaguan Qian, Chunming Wu, Shouling Ji, Tianyue Luo, Jingzheng Wu, Yanjun Wu
Adversarial attacks against Windows PE malware detection: A survey of the state-of-the-art. Comput. Secur. 128 (2023)
Yuyang Gao, Tanmoy Chowdhury, Lingfei Wu, Liang Zhao
Modeling Health Stage Development of Patients With Dynamic Attributed Graphs in Online Health Communities. IEEE Trans. Knowl. Data Eng. 35 (2) (2023)
Lingfei Wu, Jian Pei, Jiliang Tang, Yinglong Xia, Xiaojie Guo
Deep Learning on Graphs: Methods and Applications (DLG-KDD2023). KDD (2023)
Tong Ye, Lingfei Wu, Tengfei Ma, Xuhong Zhang, Yangkai Du, Peiyu Liu, Shouling Ji, Wenhai Wang
CP-BCS: Binary Code Summarization Guided by Control Flow Graph and Pseudo Code. CoRR (2023)
Yanyan Zou, Xueying Zhang, Jing Zhou, Shiliang Diao, Jiajia Chen, Zhuoye Ding, Zhen He, Xueqi He, Yun Xiao, Bo Long, Mian Ma, Sulong Xu, Han Yu, Lingfei Wu
Automatic product copywriting for e-commerce. AI Mag. 44 (1) (2023)
Yiling Lin, Lingfei Wu
Small Teams Propel Fresh Ideas in Science and Technology. CoRR (2023)
Dongjie Wang, Lingfei Wu, Denghui Zhang, Jingbo Zhou, Leilei Sun, Yanjie Fu
Human-Instructed Deep Hierarchical Generative Learning for Automated Urban Planning. AAAI (2023)
Xiang Ling, Lingfei Wu, Saizhuo Wang, Tengfei Ma, Fangli Xu, Alex X. Liu, Chunming Wu, Shouling Ji
Multilevel Graph Matching Networks for Deep Graph Similarity Learning. IEEE Trans. Neural Networks Learn. Syst. 34 (2) (2023)
Zhizhi Yu, Di Jin, Cuiying Huo, Zhiqiang Wang, Xiulong Liu, Heng Qi, Jia Wu, Lingfei Wu
KGTrust: Evaluating Trustworthiness of SIoT via Knowledge Enhanced Graph Neural Networks. WWW (2023)
Tong Ye, Lingfei Wu, Tengfei Ma, Xuhong Zhang, Yangkai Du, Peiyu Liu, Wenhai Wang, Shouling Ji
Tram: A Token-level Retrieval-augmented Mechanism for Source Code Summarization. CoRR (2023)
Wenxiong Liao, Zhengliang Liu, Yiyang Zhang, Xiaoke Huang, Fei Qi, Siqi Ding, Hui Ren, Zihao Wu, Haixing Dai, Sheng Li, Lingfei Wu, Ninghao Liu, Quanzheng Li, Tianming Liu, Xiang Li, Hongmin Cai
Coarse-to-fine Knowledge Graph Domain Adaptation based on Distantly-supervised Iterative Training. BIBM (2023)
Yangkai Du, Tengfei Ma, Lingfei Wu, Xuhong Zhang, Shouling Ji
AdaCCD: Adaptive Semantic Contrasts Discovery based Cross Lingual Adaptation for Code Clone Detection. CoRR (2023)
Lingfei Wu, Yu Chen, Kai Shen, Xiaojie Guo, Hanning Gao, Shucheng Li, Jian Pei, Bo Long
Graph Neural Networks for Natural Language Processing: A Survey. Found. Trends Mach. Learn. 16 (2) (2023)
Hongru Yang, Yingbin Liang, Xiaojie Guo, Lingfei Wu, Zhangyang Wang
Theoretical Characterization of How Neural Network Pruning Affects its Generalization. CoRR (2023)
Vachik S. Dave, Linsey Pang, Xiquan Cui, Lingfei Wu, Hamed Zamani, George Karypis
The 2nd Workshop on Interactive and Scalable Information Retrieval Methods for eCommerce (ISIR-eCom). WWW (Companion Volume) (2023)
Lingfei Wu, Peng Cui, Jian Pei, Liang Zhao, Xiaojie Guo
Graph Neural Networks: Foundation, Frontiers and Applications. KDD (2023)
Xiaoqiang Wang, Bang Liu, Siliang Tang, Lingfei Wu
SkillQG: Learning to Generate Question for Reading Comprehension Assessment. ACL (Findings) (2023)
Chuxu Zhang, Dongkuan Xu, Mojan Javaheripi, Subhabrata Mukherjee, Lingfei Wu, Yinglong Xia, Jundong Li, Meng Jiang, Yanzhi Wang
RelKD 2023: International Workshop on Resource-Efficient Learning for Knowledge Discovery. KDD (2023)
Xiaoqiang Wang, Bang Liu, Siliang Tang, Lingfei Wu
SkillQG: Learning to Generate Question for Reading Comprehension Assessment. CoRR (2023)
Tong Ye, Lingfei Wu, Tengfei Ma, Xuhong Zhang, Yangkai Du, Peiyu Liu, Shouling Ji, Wenhai Wang
CP-BCS: Binary Code Summarization Guided by Control Flow Graph and Pseudo Code. EMNLP (2023)
Gangyi Zhang, Chongming Gao, Wenqiang Lei, Xiaojie Guo, Shijun Li, Lingfei Wu, Hongshen Chen, Zhuozhi Ding, Sulong Xu, Xiangnan He
Embracing Uncertainty: Adaptive Vague Preference Policy Learning for Multi-round Conversational Recommendation. CoRR (2023)
Xiaochuan Fan, Chi Zhang, Yong Yang, Yue Shang, Xueying Zhang, Zhen He, Yun Xiao, Bo Long, Lingfei Wu
Automatic Generation of Product-Image Sequence in E-commerce. CoRR (2022)
Xueying Zhang, Kai Shen, Chi Zhang, Xiaochuan Fan, Yun Xiao, Zhen He, Bo Long, Lingfei Wu
Scenario-based Multi-product Advertising Copywriting Generation for E-Commerce. CoRR (2022)
Cuiying Huo, Di Jin, Yawen Li, Dongxiao He, Yu-Bin Yang, Lingfei Wu
T2-GNN: Graph Neural Networks for Graphs with Incomplete Features and Structure via Teacher-Student Distillation. CoRR (2022)
Yutong Qu, Wei Emma Zhang, Jian Yang, Lingfei Wu, Jia Wu, Xindong Wu
Embedding Knowledge for Document Summarization: A Survey. CoRR (2022)
Nian Liu, Xiao Wang, Lingfei Wu, Yu Chen, Xiaojie Guo, Chuan Shi
Compact Graph Structure Learning via Mutual Information Compression. WWW (2022)
Ziyang Liu, Chaokun Wang, Hao Feng, Lingfei Wu, Liqun Yang
Knowledge Distillation based Contextual Relevance Matching for E-commerce Product Search. EMNLP (Industry Track) (2022)
Xiaojie Guo, Shugen Wang, Hanqing Zhao, Shiliang Diao, Jiajia Chen, Zhuoye Ding, Zhen He, Jianchao Lu, Yun Xiao, Bo Long, Han Yu, Lingfei Wu
Intelligent Online Selling Point Extraction for E-commerce Recommendation. AAAI (2022)
Jiayin Jin, Zeru Zhang, Yang Zhou, Lingfei Wu
Input-agnostic Certified Group Fairness via Gaussian Parameter Smoothing. ICML (2022)
Yangkai Du, Tengfei Ma, Lingfei Wu, Yiming Wu, Xuhong Zhang, Bo Long, Shouling Ji
Improving Long Tailed Document-Level Relation Extraction via Easy Relation Augmentation and Contrastive Learning. CoRR (2022)
Jiayin Jin, Zeru Zhang, Yang Zhou, Lingfei Wu
Input-agnostic Certified Group Fairness via Gaussian Parameter Smoothing. CoRR (2022)
Fengli Xu, Lingfei Wu, James A. Evans
Quantifying hierarchy in scientific teams. CoRR (2022)
Xiaochuan Fan, Chi Zhang, Yong Yang, Yue Shang, Xueying Zhang, Zhen He, Yun Xiao, Bo Long, Lingfei Wu
Automatic Generation of Product-Image Sequence in E-commerce. KDD (2022)
Hanning Gao, Lingfei Wu, Po Hu, Zhihua Wei, Fangli Xu, Bo Long
Graph-augmented Learning to Rank for Querying Large-scale Knowledge Graph. AACL/IJCNLP (1) (2022)
Xiaojie Guo, Qingkai Zeng, Meng Jiang, Yun Xiao, Bo Long, Lingfei Wu
Automatic Controllable Product Copywriting for E-Commerce. CoRR (2022)
Xiang Ling, Lingfei Wu, Wei Deng, Zhenqing Qu, Jiangyu Zhang, Sheng Zhang, Tengfei Ma, Bin Wang, Chunming Wu, Shouling Ji
MalGraph: Hierarchical Graph Neural Networks for Robust Windows Malware Detection. INFOCOM (2022)
Xiaoqiang Wang, Bang Liu, Fangli Xu, Bo Long, Siliang Tang, Lingfei Wu
Feeding What You Need by Understanding What You Learned. CoRR (2022)
Xiaoqiang Wang, Bang Liu, Siliang Tang, Lingfei Wu
QRelScore: Better Evaluating Generated Questions with Deeper Understanding of Context-aware Relevance. CoRR (2022)
Lingfei Wu, Peng Cui, Jian Pei, Liang Zhao, Xiaojie Guo
Graph Neural Networks: Foundation, Frontiers and Applications. KDD (2022)
Jiajia Li, Feng Tan, Cheng He, Zikai Wang, Haitao Song, Lingfei Wu, Pengwei Hu
HigeNet: A Highly Efficient Modeling for Long Sequence Time Series Prediction in AIOps. CoRR (2022)
Yiling Lin, Carl Benedikt Frey, Lingfei Wu
Remote Collaboration Fuses Fewer Breakthrough Ideas. CoRR (2022)
Dongjie Wang, Lingfei Wu, Denghui Zhang, Jingbo Zhou, Leilei Sun, Yanjie Fu
Human-instructed Deep Hierarchical Generative Learning for Automated Urban Planning. CoRR (2022)
Linsey Pang, Wei Liu, Lingfei Wu, Kexin Xie, Stephen Guo, Raghav Chalapathy, Musen Wen
Applied Machine Learning Methods for Time Series Forecasting. CIKM (2022)
Lingfei Wu, Jian Pei, Jiliang Tang, Yinglong Xia, Xiaojie Guo
Deep Learning on Graphs: Methods and Applications (DLG-KDD2022). KDD (2022)
Cuiying Huo, Di Jin, Chundong Liang, Dongxiao He, Tie Qiu, Lingfei Wu
TrustGNN: Graph Neural Network based Trust Evaluation via Learnable Propagative and Composable Nature. CoRR (2022)
Zhizhi Yu, Di Jin, Jianguo Wei, Ziyang Liu, Yue Shang, Yun Xiao, Jiawei Han, Lingfei Wu
TeKo: Text-Rich Graph Neural Networks with External Knowledge. CoRR (2022)
Yitong Pang, Lingfei Wu, Qi Shen, Yiming Zhang, Zhihua Wei, Fangli Xu, Ethan Chang, Bo Long, Jian Pei
Heterogeneous Global Graph Neural Networks for Personalized Session-based Recommendation. WSDM (2022)
Riccardo Tommasini, Senjuti Basu Roy, Xuan Wang, Hongwei Wang, Heng Ji, Jiawei Han, Preslav Nakov, Giovanni Da San Martino, Firoj Alam, Markus Schedl, Elisabeth Lex, Akash Bharadwaj, Graham Cormode, Milan Dojchinovski, Jan Forberg, Johannes Frey, Pieter Bonte, Marco Balduini, Matteo Belcao, Emanuele Della Valle, Junliang Yu, Hongzhi Yin, Tong Chen, Haochen Liu, Yiqi Wang, Wenqi Fan, Xiaorui Liu, Jamell Dacon, Lingjuan Lye, Jiliang Tang, Aristides Gionis, Stefan Neumann, Bruno Ordozgoiti, Simon Razniewski, Hiba Arnaout, Shrestha Ghosh, Fabian M. Suchanek, Lingfei Wu, Yu Chen, Yunyao Li, Bang Liu, Filip Ilievski, Daniel Garijo, Hans Chalupsky, Pedro A. Szekely, Ilias Kanellos, Dimitris Sacharidis, Thanasis Vergoulis, Nurendra Choudhary, Nikhil Rao, Karthik Subbian, Srinivasan H. Sengamedu, Chandan K. Reddy, Friedhelm Victor, Bernhard Haslhofer, George Katsogiannis-Meimarakis, Georgia Koutrika, Shengmin Jin, Danai Koutra, Reza Zafarani, Yulia Tsvetkov, Vidhisha Balachandran, Sachin Kumar, Xiangyu Zhao, Bo Chen, Huifeng Guo, Yejing Wang, Ruiming Tang, Yang Zhang, Wenjie Wang, Peng Wu, Fuli Feng, Xiangnan He
Accepted Tutorials at The Web Conference 2022. WWW (Companion Volume) (2022)
Yutong Qu, Wei Emma Zhang, Jian Yang, Lingfei Wu, Jia Wu
Knowledge-aware document summarization: A survey of knowledge, embedding methods and architectures. Knowl. Based Syst. 257 (2022)
Dong Chen, Lingfei Wu, Siliang Tang, Xiao Yun, Bo Long, Yueting Zhuang
Robust Meta-learning with Sampling Noise and Label Noise via Eigen-Reptile. CoRR (2022)
Ziyang Liu, Chaokun Wang, Hao Feng, Lingfei Wu, Liqun Yang
Knowledge Distillation based Contextual Relevance Matching for E-commerce Product Search. CoRR (2022)
Xiaoqiang Wang, Bang Liu, Fangli Xu, Bo Long, Siliang Tang, Lingfei Wu
Feeding What You Need by Understanding What You Learned. ACL (1) (2022)
Zhendong Chu, Hongning Wang, Yun Xiao, Bo Long, Lingfei Wu
Meta Policy Learning for Cold-Start Conversational Recommendation. CoRR (2022)
Haochuan Cui, Lingfei Wu, James A. Evans
Aging Scientists and Slowed Advance. CoRR (2022)
Fengli Xu, Lingfei Wu, James A. Evans
Flat Teams Drive Scientific Innovation. CoRR (2022)
Dong Chen, Lingfei Wu, Siliang Tang, Xiao Yun, Bo Long, Yueting Zhuang
Robust Meta-learning with Sampling Noise and Label Noise via Eigen-Reptile. ICML (2022)
Dadong Miao, Yanan Wang, Guoyu Tang, Lin Liu, Sulong Xu, Bo Long, Yun Xiao, Lingfei Wu, Yunjiang Jiang
Sequential Search with Off-Policy Reinforcement Learning. CoRR (2022)
Xueying Zhang, Yanyan Zou, Hainan Zhang, Jing Zhou, Shiliang Diao, Jiajia Chen, Zhuoye Ding, Zhen He, Xueqi He, Yun Xiao, Bo Long, Han Yu, Lingfei Wu
Automatic Product Copywriting for E-commerce. AAAI (2022)
Xiaoqiang Wang, Bang Liu, Siliang Tang, Lingfei Wu
QRelScore: Better Evaluating Generated Questions with Deeper Understanding of Context-aware Relevance. EMNLP (2022)
Nian Liu, Xiao Wang, Lingfei Wu, Yu Chen, Xiaojie Guo, Chuan Shi
Compact Graph Structure Learning via Mutual Information Compression. CoRR (2022)
April Yi Wang, Dakuo Wang, Jaimie Drozdal, Michael J. Muller, Soya Park, Justin D. Weisz, Xuye Liu, Lingfei Wu, Casey Dugan
Documentation Matters: Human-Centered AI System to Assist Data Science Code Documentation in Computational Notebooks. ACM Trans. Comput. Hum. Interact. 29 (2) (2022)
Peng Lin, Yanyan Zou, Lingfei Wu, Mian Ma, Zhuoye Ding, Bo Long
Automatic Scene-based Topic Channel Construction System for E-Commerce. EMNLP (Industry Track) (2022)
Di Jin, Cuiying Huo, Jianwu Dang, Peican Zhu, Weixiong Zhang, Witold Pedrycz, Lingfei Wu
Heterogeneous Graph Neural Networks using Self-supervised Reciprocally Contrastive Learning. CoRR (2022)
Hanlu Wu, Tengfei Ma, Lingfei Wu, Fangli Xu, Shouling Ji
Exploiting Heterogeneous Graph Neural Networks with Latent Worker/Task Correlation Information for Label Aggregation in Crowdsourcing. ACM Trans. Knowl. Discov. Data 16 (2) (2022)
Yiming Zhang, Lingfei Wu, Qi Shen, Yitong Pang, Zhihua Wei, Fangli Xu, Bo Long, Jian Pei
Multiple Choice Questions based Multi-Interest Policy Learning for Conversational Recommendation. WWW (2022)
Lingfei Wu, Aniket Kittur, Hyejin Youn, Stasa Milojevic, Erin Leahey, Stephen M. Fiore, Yong-Yeol Ahn
Metrics and mechanisms: Measuring the unmeasurable in the science of science. J. Informetrics 16 (2) (2022)
Peng Lin, Yanyan Zou, Lingfei Wu, Mian Ma, Zhuoye Ding, Bo Long
Automatic Scene-based Topic Channel Construction System for E-Commerce. CoRR (2022)
Yiling Lin, James A. Evans, Lingfei Wu
New directions in science emerge from disconnection and discord. J. Informetrics 16 (1) (2022)
Xiaojie Guo, Qingkai Zeng, Meng Jiang, Yun Xiao, Bo Long, Lingfei Wu
Automatic Controllable Product Copywriting for E-Commerce. KDD (2022)
Xin Zhao, Zeru Zhang, Zijie Zhang, Lingfei Wu, Jiayin Jin, Yang Zhou, Ruoming Jin, Dejing Dou, Da Yan
Expressive 1-Lipschitz Neural Networks for Robust Multiple Graph Learning against Adversarial Attacks. ICML (2021)
Xiang Ling, Lingfei Wu, Saizhuo Wang, Gaoning Pan, Tengfei Ma, Fangli Xu, Alex X. Liu, Chunming Wu, Shouling Ji
Deep Graph Matching and Searching for Semantic Code Retrieval. ACM Trans. Knowl. Discov. Data 15 (5) (2021)
Xiao Qin, Nasrullah Sheikh, Berthold Reinwald, Lingfei Wu
Relation-aware Graph Attention Model with Adaptive Self-adversarial Training. AAAI (2021)
Yangkai Du, Tengfei Ma, Lingfei Wu, Fangli Xu, Xuhong Zhang, Bo Long, Shouling Ji
Constructing contrastive samples via summarization for text classification with limited annotations. EMNLP (Findings) (2021)
Yao Ma, Suhang Wang, Tyler Derr, Lingfei Wu, Jiliang Tang
Graph Adversarial Attack via Rewiring. KDD (2021)
Xiang Ling, Lingfei Wu, Jiangyu Zhang, Zhenqing Qu, Wei Deng, Xiang Chen, Chunming Wu, Shouling Ji, Tianyue Luo, Jingzheng Wu, Yanjun Wu
Adversarial Attacks against Windows PE Malware Detection: A Survey of the State-of-the-Art. CoRR (2021)
Xuye Liu, Dakuo Wang, April Yi Wang, Lingfei Wu
HAConvGNN: Hierarchical Attention Based Convolutional Graph Neural Network for Code Documentation Generation in Jupyter Notebooks. CoRR (2021)
Xueying Zhang, Yanyan Zou, Hainan Zhang, Jing Zhou, Shiliang Diao, Jiajia Chen, Zhuoye Ding, Zhen He, Xueqi He, Yun Xiao, Bo Long, Han Yu, Lingfei Wu
Automatic Product Copywriting for E-Commerce. CoRR (2021)
Kai Shen, Lingfei Wu, Siliang Tang, Yueting Zhuang, Zhen He, Zhuoye Ding, Yun Xiao, Bo Long
Learning to Generate Visual Questions with Noisy Supervision. NeurIPS (2021)
Xuye Liu, Dakuo Wang, April Yi Wang, Yufang Hou, Lingfei Wu
HAConvGNN: Hierarchical Attention Based Convolutional Graph Neural Network for Code Documentation Generation in Jupyter Notebooks. EMNLP (Findings) (2021)
Hanning Gao, Lingfei Wu, Po Hu, Zhihua Wei, Fangli Xu, Bo Long
RDF-to-Text Generation with Reinforcement Learning Based Graph-augmented Structural Neural Encoders. CoRR (2021)
Yitong Pang, Lingfei Wu, Qi Shen, Yiming Zhang, Zhihua Wei, Fangli Xu, Ethan Chang, Bo Long
Heterogeneous Global Graph Neural Networks for Personalized Session-based Recommendation. CoRR (2021)
Xiao Qin, Nasrullah Sheikh, Berthold Reinwald, Lingfei Wu
Relation-aware Graph Attention Model With Adaptive Self-adversarial Training. CoRR (2021)
Shiwei Wu, Joya Chen, Tong Xu, Liyi Chen, Lingfei Wu, Yao Hu, Enhong Chen
Linking the Characters: Video-oriented Social Graph Generation via Hierarchical-cumulative GCN. ACM Multimedia (2021)
Yiming Zhang, Lingfei Wu, Qi Shen, Yitong Pang, Zhihua Wei, Fangli Xu, Bo Long, Jian Pei
Multi-Choice Questions based Multi-Interest Policy Learning for Conversational Recommendation. CoRR (2021)
Zhiqian Chen, Fanglan Chen, Lei Zhang, Taoran Ji, Kaiqun Fu, Liang Zhao, Feng Chen, Lingfei Wu, Charu C. Aggarwal, Chang-Tien Lu
Bridging the Gap between Spatial and Spectral Domains: A Theoretical Framework for Graph Neural Networks. CoRR (2021)
Qi Shen, Lingfei Wu, Yitong Pang, Yiming Zhang, Zhihua Wei, Fangli Xu, Bo Long
Multi-behavior Graph Contextual Aware Network for Session-based Recommendation. CoRR (2021)
Jianpeng Xu, Lingfei Wu, Xiaolin Pang, Mohit Sharma, Dawei Yin, George Karypis, Justin Basilico, Philip S. Yu
2nd International Workshop on Industrial Recommendation Systems (IRS). KDD (2021)
Lingfei Wu, Yu Chen, Heng Ji, Bang Liu
Deep Learning on Graphs for Natural Language Processing. KDD (2021)
April Yi Wang, Dakuo Wang, Xuye Liu, Lingfei Wu
Graph-Augmented Code Summarization in Computational Notebooks. IJCAI (2021)
Aakash Bansal, Zachary Eberhart, Lingfei Wu, Collin McMillan
A Neural Question Answering System for Basic Questions about Subroutines. SANER (2021)

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Publication Activity (10 Years)

Top Topics

Top Venues

Lingfei Wu