Lingfei Wu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
87
Venues
20
Active years
2016–2026
Best venue rank
A*
Where they publish
Papers
87 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | From "Thinking" to "Justifying": Aligning High-Stakes Explainability with Professional Communication Standards. | Chen Qian, Yimeng Wang, Yu Chen, Lingfei Wu, Andreas Stathopoulos |
| 2025 | AAAI | Uncovering LLM-Generated Code: A Zero-Shot Synthetic Code Detector via Code Rewriting. | Tong Ye, Yangkai Du, Tengfei Ma, Lingfei Wu, Xuhong Zhang, Shouling Ji, Wenhai Wang |
| 2024 | AAAI | AdaCCD: Adaptive Semantic Contrasts Discovery Based Cross Lingual Adaptation for Code Clone Detection. | Yangkai Du, Tengfei Ma, Lingfei Wu, Xuhong Zhang, Shouling Ji |
| 2024 | AAAI | KG-TREAT: Pre-training for Treatment Effect Estimation by Synergizing Patient Data with Knowledge Graphs. | Ruoqi Liu, Lingfei Wu, Ping Zhang |
| 2024 | CIKM | 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, Qingsong Wen |
| 2024 | EMNLP | FAC²E: Better Understanding Large Language Model Capabilities by Dissociating Language and Cognition. | Xiaoqiang Wang, Lingfei Wu, Tengfei Ma, Bang Liu |
| 2024 | NAACL | Tram: A Token-level Retrieval-augmented Mechanism for Source Code Summarization. | Tong Ye, Lingfei Wu, Tengfei Ma, Xuhong Zhang, Yangkai Du, Peiyu Liu, Shouling Ji, Wenhai Wang |
| 2024 | WSDM | 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, Hamed Zamani, Lingfei Wu, George Karypis |
| 2023 | AAAI | T2-GNN: Graph Neural Networks for Graphs with Incomplete Features and Structure via Teacher-Student Distillation. | Cuiying Huo, Di Jin, Yawen Li, Dongxiao He, Yu-Bin Yang, Lingfei Wu |
| 2023 | AAAI | Human-Instructed Deep Hierarchical Generative Learning for Automated Urban Planning. | Dongjie Wang, Lingfei Wu, Denghui Zhang, Jingbo Zhou, Leilei Sun, Yanjie Fu |
| 2023 | ACL | SkillQG: Learning to Generate Question for Reading Comprehension Assessment. | Xiaoqiang Wang, Bang Liu, Siliang Tang, Lingfei Wu |
| 2023 | EMNLP | CP-BCS: Binary Code Summarization Guided by Control Flow Graph and Pseudo Code. | Tong Ye, Lingfei Wu, Tengfei Ma, Xuhong Zhang, Yangkai Du, Peiyu Liu, Shouling Ji, Wenhai Wang |
| 2023 | KDD | Graph Neural Networks: Foundation, Frontiers and Applications. | Lingfei Wu, Peng Cui, Jian Pei, Liang Zhao, Xiaojie Guo |
| 2023 | KDD | Deep Learning on Graphs: Methods and Applications (DLG-KDD2023). | Lingfei Wu, Jian Pei, Jiliang Tang, Yinglong Xia, Xiaojie Guo |
| 2023 | KDD | RelKD 2023: International Workshop on Resource-Efficient Learning for Knowledge Discovery. | Chuxu Zhang, Dongkuan Xu, Mojan Javaheripi, Subhabrata Mukherjee, Lingfei Wu, Yinglong Xia, Jundong Li, Meng Jiang, Yanzhi Wang |
| 2023 | WWW | The 2nd Workshop on Interactive and Scalable Information Retrieval Methods for eCommerce (ISIR-eCom). | Vachik S. Dave, Linsey Pang, Xiquan Cui, Lingfei Wu, Hamed Zamani, George Karypis |
| 2023 | WWW | Tutorials at The Web Conference 2023. | Valeria Fionda, Olaf Hartig, Reyhaneh Abdolazimi, Sihem Amer-Yahia, Hongzhi Chen, Xiao Chen, Peng Cui, Jeffrey Dalton, Xin Luna Dong, Lisette Espn-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 Kk-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 R. 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 |
| 2023 | WWW | KGTrust: Evaluating Trustworthiness of SIoT via Knowledge Enhanced Graph Neural Networks. | Zhizhi Yu, Di Jin, Cuiying Huo, Zhiqiang Wang, Xiulong Liu, Heng Qi, Jia Wu, Lingfei Wu |
| 2023 | WSDM | Meta Policy Learning for Cold-Start Conversational Recommendation. | Zhendong Chu, Hongning Wang, Yun Xiao, Bo Long, Lingfei Wu |
| 2022 | AAAI | Intelligent Online Selling Point Extraction for E-commerce Recommendation. | Xiaojie Guo, Shugen Wang, Hanqing Zhao, Shiliang Diao, Jiajia Chen, Zhuoye Ding, Zhen He, Jianchao Lu, Yun Xiao, Bo Long, Han Yu, Lingfei Wu |
| 2022 | AAAI | 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, Lingfei Wu |
| 2022 | ACL | Feeding What You Need by Understanding What You Learned. | Xiaoqiang Wang, Bang Liu, Fangli Xu, Bo Long, Siliang Tang, Lingfei Wu |
| 2022 | CIKM | Applied Machine Learning Methods for Time Series Forecasting. | Linsey Pang, Wei Liu, Lingfei Wu, Kexin Xie, Stephen D. Guo, Raghav Chalapathy, Musen Wen |
| 2022 | EMNLP | Automatic Scene-based Topic Channel Construction System for E-Commerce. | Peng Lin, Yanyan Zou, Lingfei Wu, Mian Ma, Zhuoye Ding, Bo Long |
| 2022 | EMNLP | Knowledge Distillation based Contextual Relevance Matching for E-commerce Product Search. | Ziyang Liu, Chaokun Wang, Hao Feng, Lingfei Wu, Liqun Yang |
| 2022 | EMNLP | QRelScore: Better Evaluating Generated Questions with Deeper Understanding of Context-aware Relevance. | Xiaoqiang Wang, Bang Liu, Siliang Tang, Lingfei Wu |
| 2022 | ICML | Robust Meta-learning with Sampling Noise and Label Noise via Eigen-Reptile. | Dong Chen, Lingfei Wu, Siliang Tang, Xiao Yun, Bo Long, Yueting Zhuang |
| 2022 | ICML | Input-agnostic Certified Group Fairness via Gaussian Parameter Smoothing. | Jiayin Jin, Zeru Zhang, Yang Zhou, Lingfei Wu |
| 2022 | IJCNLP | Graph-augmented Learning to Rank for Querying Large-scale Knowledge Graph. | Hanning Gao, Lingfei Wu, Po Hu, Zhihua Wei, Fangli Xu, Bo Long |
| 2022 | INFOCOM | MalGraph: Hierarchical Graph Neural Networks for Robust Windows Malware Detection. | Xiang Ling, Lingfei Wu, Wei Deng, Zhenqing Qu, Jiangyu Zhang, Sheng Zhang, Tengfei Ma, Bin Wang, Chunming Wu, Shouling Ji |
| 2022 | KDD | Automatic Controllable Product Copywriting for E-Commerce. | Xiaojie Guo, Qingkai Zeng, Meng Jiang, Yun Xiao, Bo Long, Lingfei Wu |
| 2022 | KDD | Automatic Generation of Product-Image Sequence in E-commerce. | Xiaochuan Fan, Chi Zhang, Yong Yang, Yue Shang, Xueying Zhang, Zhen He, Yun Xiao, Bo Long, Lingfei Wu |
| 2022 | KDD | Graph Neural Networks: Foundation, Frontiers and Applications. | Lingfei Wu, Peng Cui, Jian Pei, Liang Zhao, Xiaojie Guo |
| 2022 | KDD | Deep Learning on Graphs: Methods and Applications (DLG-KDD2022). | Lingfei Wu, Jian Pei, Jiliang Tang, Yinglong Xia, Xiaojie Guo |
| 2022 | WWW | Accepted Tutorials at The Web Conference 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 Lyu, 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 |
| 2022 | WWW | Compact Graph Structure Learning via Mutual Information Compression. | Nian Liu, Xiao Wang, Lingfei Wu, Yu Chen, Xiaojie Guo, Chuan Shi |
| 2022 | WWW | Multiple Choice Questions based Multi-Interest Policy Learning for Conversational Recommendation. | Yiming Zhang, Lingfei Wu, Qi Shen, Yitong Pang, Zhihua Wei, Fangli Xu, Bo Long, Jian Pei |
| 2022 | WSDM | Heterogeneous Global Graph Neural Networks for Personalized Session-based Recommendation. | Yitong Pang, Lingfei Wu, Qi Shen, Yiming Zhang, Zhihua Wei, Fangli Xu, Ethan Chang, Bo Long, Jian Pei |
| 2021 | AAAI | Relation-aware Graph Attention Model with Adaptive Self-adversarial Training. | Xiao Qin, Nasrullah Sheikh, Berthold Reinwald, Lingfei Wu |
| 2021 | CIKM | Sequential Search with Off-Policy Reinforcement Learning. | Dadong Miao, Yanan Wang, Guoyu Tang, Lin Liu, Sulong Xu, Bo Long, Yun Xiao, Lingfei Wu, Yunjiang Jiang |
| 2021 | EMNLP | Constructing contrastive samples via summarization for text classification with limited annotations. | Yangkai Du, Tengfei Ma, Lingfei Wu, Fangli Xu, Xuhong Zhang, Bo Long, Shouling Ji |
| 2021 | EMNLP | Timeline Summarization based on Event Graph Compression via Time-Aware Optimal Transport. | Manling Li, Tengfei Ma, Mo Yu, Lingfei Wu, Tian Gao, Heng Ji, Kathleen R. McKeown |
| 2021 | EMNLP | HAConvGNN: Hierarchical Attention Based Convolutional Graph Neural Network for Code Documentation Generation in Jupyter Notebooks. | Xuye Liu, Dakuo Wang, April Yi Wang, Yufang Hou, Lingfei Wu |
| 2021 | EMNLP | Adversarial Attack against Cross-lingual Knowledge Graph Alignment. | Zeru Zhang, Zijie Zhang, Yang Zhou, Lingfei Wu, Sixing Wu, Xiaoying Han, Dejing Dou, Tianshi Che, Da Yan |
| 2021 | ICML | Expressive 1-Lipschitz Neural Networks for Robust Multiple Graph Learning against Adversarial Attacks. | Xin Zhao, Zeru Zhang, Zijie Zhang, Lingfei Wu, Jiayin Jin, Yang Zhou, Ruoming Jin, Dejing Dou, Da Yan |
| 2021 | IJCAI | Graph-Augmented Code Summarization in Computational Notebooks. | April Yi Wang, Dakuo Wang, Xuye Liu, Lingfei Wu |
| 2021 | KDD | Graph Adversarial Attack via Rewiring. | Yao Ma, Suhang Wang, Tyler Derr, Lingfei Wu, Jiliang Tang |
| 2021 | KDD | Deep Learning on Graphs for Natural Language Processing. | Lingfei Wu, Yu Chen, Heng Ji, Bang Liu |
| 2021 | KDD | The Sixth International Workshop on Deep Learning on Graphs - Methods and Applications (DLG-KDD'21). | Lingfei Wu, Jiliang Tang, Yinglong Xia, Jian Pei, Xiaojie Guo |
| 2021 | KDD | 2nd International Workshop on Industrial Recommendation Systems (IRS). | Jianpeng Xu, Lingfei Wu, Xiaolin Pang, Mohit Sharma, Dawei Yin, George Karypis, Justin Basilico, Philip S. Yu |
| 2021 | NAACL | Technical Question Answering across Tasks and Domains. | Wenhao Yu, Lingfei Wu, Yu Deng, Qingkai Zeng, Ruchi Mahindru, Sinem Gven, Meng Jiang |
| 2021 | SIGIR | Deep Learning on Graphs for Natural Language Processing. | Lingfei Wu, Yu Chen, Heng Ji, Bang Liu |
| 2020 | ACL | A Multi-Perspective Architecture for Semantic Code Search. | Rajarshi Haldar, Lingfei Wu, Jinjun Xiong, Julia Hockenmaier |
| 2020 | ACL | Knowledge Graph-Augmented Abstractive Summarization with Semantic-Driven Cloze Reward. | Luyang Huang, Lingfei Wu, Lu Wang |
| 2020 | ACL | A Joint Neural Model for Information Extraction with Global Features. | Ying Lin, Heng Ji, Fei Huang, Lingfei Wu |
| 2020 | ACL | Crossing Variational Autoencoders for Answer Retrieval. | Wenhao Yu, Lingfei Wu, Qingkai Zeng, Shu Tao, Yu Deng, Meng Jiang |
| 2020 | EMNLP | Graph-to-Tree Neural Networks for Learning Structured Input-Output Translation with Applications to Semantic Parsing and Math Word Problem. | Shucheng Li, Lingfei Wu, Shiwei Feng, Fangli Xu, Fengyuan Xu, Sheng Zhong |
| 2020 | EMNLP | Unsupervised Reference-Free Summary Quality Evaluation via Contrastive Learning. | Hanlu Wu, Tengfei Ma, Lingfei Wu, Tariro Manyumwa, Shouling Ji |
| 2020 | EMNLP | A Technical Question Answering System with Transfer Learning. | Wenhao Yu, Lingfei Wu, Yu Deng, Ruchi Mahindru, Qingkai Zeng, Sinem Gven, Meng Jiang |
| 2020 | ICLR | Reinforcement Learning Based Graph-to-Sequence Model for Natural Question Generation. | Yu Chen, Lingfei Wu, Mohammed J. Zaki |
| 2020 | IJCAI | GraphFlow: Exploiting Conversation Flow with Graph Neural Networks for Conversational Machine Comprehension. | Yu Chen, Lingfei Wu, Mohammed J. Zaki |
| 2020 | IJCAI | RDF-to-Text Generation with Graph-augmented Structural Neural Encoders. | Hanning Gao, Lingfei Wu, Po Hu, Fangli Xu |
| 2020 | IJCAI | Hierarchical Attention Based Spatial-Temporal Graph-to-Sequence Learning for Grounded Video Description. | Kai Shen, Lingfei Wu, Fangli Xu, Siliang Tang, Jun Xiao, Yueting Zhuang |
| 2020 | KDD | Interpretable Deep Graph Generation with Node-edge Co-disentanglement. | Xiaojie Guo, Liang Zhao, Zhao Qin, Lingfei Wu, Amarda Shehu, Yanfang Ye |
| 2020 | KDD | Deep Graph Learning: Foundations, Advances and Applications. | Yu Rong, Tingyang Xu, Junzhou Huang, Wenbing Huang, Hong Cheng, Yao Ma, Yiqi Wang, Tyler Derr, Lingfei Wu, Tengfei Ma |
| 2020 | MSR | Improved Automatic Summarization of Subroutines via Attention to File Context. | Sakib Haque, Alexander LeClair, Lingfei Wu, Collin McMillan |
| 2019 | AAAI | Incomplete Label Multi-Task Deep Learning for Spatio-Temporal Event Subtype Forecasting. | Yuyang Gao, Liang Zhao, Lingfei Wu, Yanfang Ye, Hui Xiong, Chaowei Yang |
| 2019 | CIKM | Multi-stage Deep Classifier Cascades for Open World Recognition. | Xiaojie Guo, Amir Alipour-Fanid, Lingfei Wu, Hemant Purohit, Xiang Chen, Kai Zeng, Liang Zhao |
| 2019 | ICDM | DynGraph2Seq: Dynamic-Graph-to-Sequence Interpretable Learning for Health Stage Prediction in Online Health Forums. | Yuyang Gao, Lingfei Wu, Houman Homayoun, Liang Zhao |
| 2019 | ICDM | Contrast Feature Dependency Pattern Mining for Controlled Experiments with Application to Driving Behavior. | Qingzhe Li, Liang Zhao, Yi-Ching Lee, Yanfang Ye, Jessica Lin, Lingfei Wu |
| 2019 | ICML | Fast Incremental von Neumann Graph Entropy Computation: Theory, Algorithm, and Applications. | Pin-Yu Chen, Lingfei Wu, Sijia Liu, Indika Rajapakse |
| 2019 | IJCAI | Similarity Preserving Representation Learning for Time Series Clustering. | Qi Lei, Jinfeng Yi, Roman Vaculn, Lingfei Wu, Inderjit S. Dhillon |
| 2019 | KDD | Efficient Global String Kernel with Random Features: Beyond Counting Substructures. | Lingfei Wu, Ian En-Hsu Yen, Siyu Huo, Liang Zhao, Kun Xu, Liang Ma, Shouling Ji, Charu C. Aggarwal |
| 2019 | KDD | Scalable Global Alignment Graph Kernel Using Random Features: From Node Embedding to Graph Embedding. | Lingfei Wu, Ian En-Hsu Yen, Zhen Zhang, Kun Xu, Liang Zhao, Xi Peng, Yinglong Xia, Charu C. Aggarwal |
| 2019 | NAACL | Bidirectional Attentive Memory Networks for Question Answering over Knowledge Bases. | Yu Chen, Lingfei Wu, Mohammed J. Zaki |
| 2019 | NAACL | Reinforcement Learning Based Text Style Transfer without Parallel Training Corpus. | Hongyu Gong, Suma Bhat, Lingfei Wu, Jinjun Xiong, Wen-Mei W. Hwu |
| 2018 | AAAI | Assessing National Development Plans for Alignment With Sustainable Development Goals via Semantic Search. | Jonathan Galsurkar, Moninder Singh, Lingfei Wu, Aditya Vempaty, Mikhail Sushkov, Devika Iyer, Serge Kapto, Kush R. Varshney |
| 2018 | AISTATS | Random Warping Series: A Random Features Method for Time-Series Embedding. | Lingfei Wu, Ian En-Hsu Yen, Jinfeng Yi, Fangli Xu, Qi Lei, Michael Witbrock |
| 2018 | ECCV | Quantized Densely Connected U-Nets for Efficient Landmark Localization. | Zhiqiang Tang, Xi Peng, Shijie Geng, Lingfei Wu, Shaoting Zhang, Dimitris N. Metaxas |
| 2018 | EMNLP | Word Mover's Embedding: From Word2Vec to Document Embedding. | Lingfei Wu, Ian En-Hsu Yen, Kun Xu, Fangli Xu, Avinash Balakrishnan, Pin-Yu Chen, Pradeep Ravikumar, Michael J. Witbrock |
| 2018 | EMNLP | SQL-to-Text Generation with Graph-to-Sequence Model. | Kun Xu, Lingfei Wu, Zhiguo Wang, Yansong Feng, Vadim Sheinin |
| 2018 | EMNLP | Exploiting Rich Syntactic Information for Semantic Parsing with Graph-to-Sequence Model. | Kun Xu, Lingfei Wu, Zhiguo Wang, Mo Yu, Liwei Chen, Vadim Sheinin |
| 2018 | KDD | Scalable Spectral Clustering Using Random Binning Features. | Lingfei Wu, Pin-Yu Chen, Ian En-Hsu Yen, Fangli Xu, Yinglong Xia, Charu C. Aggarwal |
| 2017 | ICDM | Revisiting Spectral Graph Clustering with Generative Community Models. | Pin-Yu Chen, Lingfei Wu |
| 2016 | ICASSP | Efficient one-vs-one kernel ridge regression for speech recognition. | Jie Chen, Lingfei Wu, Kartik Audhkhasi, Brian Kingsbury, Bhuvana Ramabhadran |
| 2016 | KDD | Revisiting Random Binning Features: Fast Convergence and Strong Parallelizability. | Lingfei Wu, Ian En-Hsu Yen, Jie Chen, Rui Yan |
| 2016 | WSC | A model of online collaboration for knowledge production. | Miles K. Manning, Marco A. Janssen, Lingfei Wu |