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ORCIDTengfei Ma 0001
马腾飞
Person information
- unicode name: 马腾飞
- affiliation: Stony Brook University, NY, USA
- affiliation (former): IBM Thomas J. Watson Research Center, Yorktown Heights, NY, USA
Other persons with the same name
- Tengfei Ma — disambiguation page
- Tengfei Ma 0002
![[0000-0002-1560-2261]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-1560-2261")
— Hunan University, College of Information Science and Engineering, China - Tengfei Ma 0003 — Nanjing University of Aeronautics and Astronautics, Nanjing, China
- Tengfei Ma 0004 — Liupanshui Normal University, Liupanshui, China
- Tengfei Ma 0005 — Zhejiang University, Hangzhou, China
- Tengfei Ma 0006 — Minzu University of China, Beijing, China
- Tengfei Ma 0007 — Zhejiang A&F University, Lin'An, Zhejiang, China
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Journal Articles
- 2023
[j6]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): 799-813 (2023)- [j5]Zhihua Jin, Yong Wang, Qianwen Wang, Yao Ming, Tengfei Ma, Huamin Qu:
GNNLens: A Visual Analytics Approach for Prediction Error Diagnosis of Graph Neural Networks. IEEE Trans. Vis. Comput. Graph. 29(6): 3024-3038 (2023) - 2022
- [j4]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): 27:1-27:18 (2022) - [j3]Cao Xiao, Trong Nghia Hoang, Shenda Hong, Tengfei Ma, Jimeng Sun:
CHEER: Rich Model Helps Poor Model via Knowledge Infusion. IEEE Trans. Knowl. Data Eng. 34(2): 531-543 (2022) - 2021
- [j2]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): 88:1-88:21 (2021) - 2020
- [j1]Yong Wang, Zhihua Jin, Qianwen Wang, Weiwei Cui, Tengfei Ma, Huamin Qu:
DeepDrawing: A Deep Learning Approach to Graph Drawing. IEEE Trans. Vis. Comput. Graph. 26(1): 676-686 (2020)
Conference and Workshop Papers
- 2024
- [c53]Yangkai Du, Tengfei Ma, Lingfei Wu, Xuhong Zhang, Shouling Ji:
AdaCCD: Adaptive Semantic Contrasts Discovery Based Cross Lingual Adaptation for Code Clone Detection. AAAI 2024: 17942-17950 - 2023
- [c52]Fengjie Wang, Xuye Liu, Oujing Liu, Ali Neshati, Tengfei Ma, Min Zhu, Jian Zhao:
Slide4N: Creating Presentation Slides from Computational Notebooks with Human-AI Collaboration. CHI 2023: 364:1-364:18 - [c51]EunJeong Hwang, Veronika Thost, Vered Shwartz, Tengfei Ma:
Knowledge Graph Compression Enhances Diverse Commonsense Generation. EMNLP 2023: 558-572 - [c50]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: 14740-14752 - [c49]Ruixuan Yan, Yunshi Wen, Debarun Bhattacharjya, Ronny Luss, Tengfei Ma, Achille Fokoue, Anak Agung Julius:
Weighted Clock Logic Point Process. ICLR 2023 - [c48]Arpandeep Khatua, Vikram Sharma Mailthody, Bhagyashree Taleka, Tengfei Ma, Xiang Song, Wen-Mei Hwu:
IGB: Addressing The Gaps In Labeling, Features, Heterogeneity, and Size of Public Graph Datasets for Deep Learning Research. KDD 2023: 4284-4295 - [c47]Zuoyu Yan, Tengfei Ma, Liangcai Gao, Zhi Tang, Chao Chen, Yusu Wang:
Cycle Invariant Positional Encoding for Graph Representation Learning. LoG 2023: 4 - [c46]Yuting Hu, Jiajie Li, Florian Klemme, Gi-Joon Nam, Tengfei Ma, Hussam Amrouch, Jinjun Xiong:
SyncTREE: Fast Timing Analysis for Integrated Circuit Design through a Physics-informed Tree-based Graph Neural Network. NeurIPS 2023 - [c45]Tengfei Ma, Trong Nghia Hoang, Jie Chen:
Federated learning of models pre-trained on different features with consensus graphs. UAI 2023: 1336-1346 - 2022
- [c44]Ruixuan Yan, Tengfei Ma, Achille Fokoue, Maria Chang, Agung Julius:
Neuro-symbolic Models for Interpretable Time Series Classification using Temporal Logic Description. ICDM 2022: 618-627 - [c43]Zuoyu Yan, Tengfei Ma, Liangcai Gao, Zhi Tang, Chao Chen:
Cycle Representation Learning for Inductive Relation Prediction. ICML 2022: 24895-24910 - [c42]Mehdi Ali, Max Berrendorf, Mikhail Galkin, Veronika Thost, Tengfei Ma, Volker Tresp, Jens Lehmann:
Improving Inductive Link Prediction Using Hyper-Relational Facts (Extended Abstract). IJCAI 2022: 5259-5263 - [c41]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: 1998-2007 - [c40]Weimin Lyu, Songzhu Zheng, Tengfei Ma, Chao Chen:
A Study of the Attention Abnormality in Trojaned BERTs. NAACL-HLT 2022: 4727-4741 - [c39]Zuoyu Yan, Tengfei Ma, Liangcai Gao, Zhi Tang, Yusu Wang, Chao Chen:
Neural Approximation of Graph Topological Features. NeurIPS 2022 - 2021
- [c38]Tengfei Ma, Jie Chen:
Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport. AAAI 2021: 8856-8864 - [c37]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: 1365-1376 - [c36]Manling Li, Tengfei Ma, Mo Yu, Lingfei Wu, Tian Gao, Heng Ji, Kathleen R. McKeown:
Timeline Summarization based on Event Graph Compression via Time-Aware Optimal Transport. EMNLP (1) 2021: 6443-6456 - [c35]Zuoyu Yan, Tengfei Ma, Liangcai Gao, Zhi Tang, Chao Chen:
Link Prediction with Persistent Homology: An Interactive View. ICML 2021: 11659-11669 - [c34]Ruixuan Yan, Agung Julius, Maria Chang, Achille Fokoue, Tengfei Ma, Rosario Uceda-Sosa:
STONE: Signal Temporal Logic Neural Network for Time Series Classification. ICDM (Workshops) 2021: 778-787 - [c33]Mehdi Ali, Max Berrendorf, Mikhail Galkin, Veronika Thost, Tengfei Ma, Volker Tresp, Jens Lehmann:
Improving Inductive Link Prediction Using Hyper-relational Facts. ISWC 2021: 74-92 - 2020
- [c32]Tengfei Ma, Patrick Ferber, Siyu Huo, Jie Chen, Michael Katz:
Online Planner Selection with Graph Neural Networks and Adaptive Scheduling. AAAI 2020: 5077-5084 - [c31]Aldo Pareja, Giacomo Domeniconi, Jie Chen, Tengfei Ma, Toyotaro Suzumura, Hiroki Kanezashi, Tim Kaler, Tao B. Schardl, Charles E. Leiserson:
EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs. AAAI 2020: 5363-5370 - [c30]Xiao Qin, Cao Xiao, Tengfei Ma, Tabassum Kakar, Susmitha Wunnava, Xiangnan Kong, Elke A. Rundensteiner, Fei Wang:
Supervised Topic Compositional Neural Language Model for Clinical Narrative Understanding. IEEE BigData 2020: 758-767 - [c29]Hanlu Wu, Tengfei Ma, Lingfei Wu, Tariro Manyumwa, Shouling Ji:
Unsupervised Reference-Free Summary Quality Evaluation via Contrastive Learning. EMNLP (1) 2020: 3612-3621 - [c28]Ze Ye, Kin Sum Liu, Tengfei Ma, Jie Gao, Chao Chen:
Curvature Graph Network. ICLR 2020 - [c27]Yu Rong, Tingyang Xu, Junzhou Huang, Wenbing Huang, Hong Cheng, Yao Ma, Yiqi Wang, Tyler Derr, Lingfei Wu, Tengfei Ma:
Deep Graph Learning: Foundations, Advances and Applications. KDD 2020: 3555-3556 - 2019
- [c26]Junyuan Shang, Cao Xiao, Tengfei Ma, Hongyan Li, Jimeng Sun:
GAMENet: Graph Augmented MEmory Networks for Recommending Medication Combination. AAAI 2019: 1126-1133 - [c25]Tianfan Fu, Tian Gao, Cao Xiao, Tengfei Ma, Jimeng Sun:
PEARL: Prototype Learning via Rule Learning. BCB 2019: 223-232 - [c24]Tianfan Fu, Tian Gao, Cao Xiao, Tengfei Ma, Jimeng Sun:
PEARL: Prototype Learning via Rule Learning. BCB 2019: 542 - [c23]Zhongshu Gu, Hani Jamjoom, Dong Su, Heqing Huang, Jialong Zhang, Tengfei Ma, Dimitrios Pendarakis, Ian M. Molloy:
Reaching Data Confidentiality and Model Accountability on the CalTrain. DSN 2019: 336-348 - [c22]Chul Sung, Tejas I. Dhamecha, Swarnadeep Saha, Tengfei Ma, Vinay Reddy, Rishi Arora:
Pre-Training BERT on Domain Resources for Short Answer Grading. EMNLP/IJCNLP (1) 2019: 6070-6074 - [c21]Shenda Hong, Cao Xiao, Tengfei Ma, Hongyan Li, Jimeng Sun:
MINA: Multilevel Knowledge-Guided Attention for Modeling Electrocardiography Signals. IJCAI 2019: 5888-5894 - [c20]Shenda Hong, Cao Xiao, Trong Nghia Hoang, Tengfei Ma, Hongyan Li, Jimeng Sun:
RDPD: Rich Data Helps Poor Data via Imitation. IJCAI 2019: 5895-5901 - [c19]Junyuan Shang, Tengfei Ma, Cao Xiao, Jimeng Sun:
Pre-training of Graph Augmented Transformers for Medication Recommendation. IJCAI 2019: 5953-5959 - [c18]Siyu Huo, Tengfei Ma, Jie Chen, Maria Chang, Lingfei Wu, Michael Witbrock:
Graph Enhanced Cross-Domain Text-to-SQL Generation. TextGraphs@EMNLP 2019: 159-163 - 2018
- [c17]Matthew Ventura, Maria Chang, Peter W. Foltz, Nirmal Mukhi, Jessica Yarbro, Anne Pier Salverda, John T. Behrens, Jae-wook Ahn, Tengfei Ma, Tejas I. Dhamecha, Smit Marvaniya, Patrick Watson, Cassius D'Helon, Ravi Tejwani, Shazia Afzal:
Preliminary Evaluations of a Dialogue-Based Digital Tutor. AIED (2) 2018: 480-483 - [c16]Jie Chen, Tengfei Ma, Cao Xiao:
FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling. ICLR (Poster) 2018 - [c15]Tengfei Ma, Cao Xiao, Jiayu Zhou, Fei Wang:
Drug Similarity Integration Through Attentive Multi-view Graph Auto-Encoders. IJCAI 2018: 3477-3483 - [c14]Tengfei Ma, Jie Chen, Cao Xiao:
Constrained Generation of Semantically Valid Graphs via Regularizing Variational Autoencoders. NeurIPS 2018: 7113-7124 - [c13]Tengfei Ma, Cao Xiao, Fei Wang:
Health-ATM: A Deep Architecture for Multifaceted Patient Health Record Representation and Risk Prediction. SDM 2018: 261-269 - [c12]Patrick Watson, Tengfei Ma, Ravi Tejwani, Maria Chang, Jae-wook Ahn, Sharad Sundararajan:
Human-level Multiple Choice Question Guessing Without Domain Knowledge: Machine-Learning of Framing Effects. WWW (Companion Volume) 2018: 299-303 - 2017
- [c11]Jae-wook Ahn, Patrick Watson, Maria Chang, Sharad Sundararajan, Tengfei Ma, Nirmal Mukhi, Srijith Prabhu:
Wizard's Apprentice: Cognitive Suggestion Support for Wizard-of-Oz Question Answering. AIED 2017: 630-635 - [c10]Long Duong, Hiroshi Kanayama, Tengfei Ma, Steven Bird, Trevor Cohn:
Multilingual Training of Crosslingual Word Embeddings. EACL (1) 2017: 894-904 - [c9]Tengfei Ma, Tetsuya Nasukawa:
Inverted Bilingual Topic Models for Lexicon Extraction from Non-parallel Data. IJCAI 2017: 4075-4081 - 2016
- [c8]Long Duong, Hiroshi Kanayama, Tengfei Ma, Steven Bird, Trevor Cohn:
Learning Crosslingual Word Embeddings without Bilingual Corpora. EMNLP 2016: 1285-1295 - 2015
- [c7]Tengfei Ma, Issei Sato, Hiroshi Nakagawa:
The Hybrid Nested/Hierarchical Dirichlet Process and its Application to Topic Modeling with Word Differentiation. AAAI 2015: 2835-2841 - 2013
- [c6]Tengfei Ma, Hiroshi Nakagawa:
Automatically Determining a Proper Length for Multi-Document Summarization: A Bayesian Nonparametric Approach. EMNLP 2013: 736-746 - [c5]Jaydeep De, Tengfei Ma, Huiqi Li, Manoranjan Dash, Cheng Li:
Automated Tracing of Retinal Blood Vessels Using Graphical Models. SCIA 2013: 277-289 - 2011
- [c4]Xiaojun Wan, Liang Zong, Xiaojiang Huang, Tengfei Ma, Houping Jia, Yuqian Wu, Jianguo Xiao:
Named Entity Recognition in Chinese News Comments on the Web. IJCNLP 2011: 856-864 - 2010
- [c3]Tengfei Ma, Xiaojun Wan:
Opinion Target Extraction in Chinese News Comments. COLING (Posters) 2010: 782-790 - [c2]Tengfei Ma, Xiaojun Wan:
Multi-document Summarization Using Minimum Distortion. ICDM 2010: 354-363 - [c1]Chenfeng Wang, Tengfei Ma, Liqiang Guo, Xiaojun Wan, Jianwu Yang:
PKUTM Experiments in NTCIR-8 MOAT Task. NTCIR 2010: 228-233
Informal and Other Publications
- 2024
- [i46]Tong Ye, Yangkai Du, Tengfei Ma, Lingfei Wu, Xuhong Zhang, Shouling Ji, Wenhai Wang:
Uncovering LLM-Generated Code: A Zero-Shot Synthetic Code Detector via Code Rewriting. CoRR abs/2405.16133 (2024) - [i45]Tong Ye, Tengfei Ma, Lingfei Wu, Xuhong Zhang, Shouling Ji, Wenhai Wang:
Iterative or Innovative? A Problem-Oriented Perspective for Code Optimization. CoRR abs/2406.11935 (2024) - 2023
- [i44]Arpandeep Khatua, Vikram Sharma Mailthody, Bhagyashree Taleka, Tengfei Ma, Xiang Song, Wen-mei W. Hwu:
IGB: Addressing The Gaps In Labeling, Features, Heterogeneity, and Size of Public Graph Datasets for Deep Learning Research. CoRR abs/2302.13522 (2023) - [i43]Yinan Liu, Xinyu Dong, Weimin Lyu, Richard N. Rosenthal, Rachel Wong, Tengfei Ma, Fusheng Wang:
Enhancing Clinical Predictive Modeling through Model Complexity-Driven Class Proportion Tuning for Class Imbalanced Data: An Empirical Study on Opioid Overdose Prediction. CoRR abs/2305.05722 (2023) - [i42]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 abs/2305.11074 (2023) - [i41]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 abs/2310.16853 (2023) - [i40]Yangkai Du, Tengfei Ma, Lingfei Wu, Xuhong Zhang, Shouling Ji:
AdaCCD: Adaptive Semantic Contrasts Discovery based Cross Lingual Adaptation for Code Clone Detection. CoRR abs/2311.07277 (2023) - [i39]Zuoyu Yan, Tengfei Ma, Liangcai Gao, Zhi Tang, Chao Chen, Yusu Wang:
Cycle Invariant Positional Encoding for Graph Representation Learning. CoRR abs/2311.14333 (2023) - 2022
- [i38]Zuoyu Yan, Tengfei Ma, Liangcai Gao, Zhi Tang, Yusu Wang, Chao Chen:
Neural Approximation of Extended Persistent Homology on Graphs. CoRR abs/2201.12032 (2022) - [i37]Zhixian Chen, Tengfei Ma, Yang Wang:
When Does A Spectral Graph Neural Network Fail in Node Classification? CoRR abs/2202.07902 (2022) - [i36]Weimin Lyu, Songzhu Zheng, Tengfei Ma, Chao Chen:
A Study of the Attention Abnormality in Trojaned BERTs. CoRR abs/2205.08305 (2022) - [i35]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 abs/2205.10511 (2022) - [i34]Weimin Lyu, Songzhu Zheng, Tengfei Ma, Haibin Ling, Chao Chen:
Attention Hijacking in Trojan Transformers. CoRR abs/2208.04946 (2022) - [i33]Ruixuan Yan, Tengfei Ma, Achille Fokoue, Maria Chang, Agung Julius:
Neuro-symbolic Models for Interpretable Time Series Classification using Temporal Logic Description. CoRR abs/2209.09114 (2022) - 2021
- [i32]Zhixian Chen, Tengfei Ma, Zhihua Jin, Yangqiu Song, Yang Wang:
BiGCN: A Bi-directional Low-Pass Filtering Graph Neural Network. CoRR abs/2101.05519 (2021) - [i31]Zhixian Chen, Tengfei Ma, Yangqiu Song, Yang Wang:
Wasserstein diffusion on graphs with missing attributes. CoRR abs/2102.03450 (2021) - [i30]Zuoyu Yan, Tengfei Ma, Liangcai Gao, Zhi Tang, Chao Chen:
Persistence Homology for Link Prediction: An Interactive View. CoRR abs/2102.10255 (2021) - [i29]Yangkai Du, Tengfei Ma, Lingfei Wu, Fangli Xu, Xuhong Zhang, Shouling Ji:
Constructing Contrastive samples via Summarization for Text Classification with limited annotations. CoRR abs/2104.05094 (2021) - [i28]Arthur Feeney, Rishabh Gupta, Veronika Thost, Rico Angell, Gayathri Chandu, Yash Adhikari, Tengfei Ma:
Relation Matters in Sampling: A Scalable Multi-Relational Graph Neural Network for Drug-Drug Interaction Prediction. CoRR abs/2105.13975 (2021) - [i27]Mehdi Ali, Max Berrendorf, Mikhail Galkin, Veronika Thost, Tengfei Ma, Volker Tresp, Jens Lehmann:
Improving Inductive Link Prediction Using Hyper-Relational Facts. CoRR abs/2107.04894 (2021) - [i26]Zuoyu Yan, Tengfei Ma, Liangcai Gao, Zhi Tang, Chao Chen:
A Topological View of Rule Learning in Knowledge Graphs. CoRR abs/2110.02510 (2021) - 2020
- [i25]Cao Xiao, Trong Nghia Hoang, Shenda Hong, Tengfei Ma, Jimeng Sun:
CHEER: Rich Model Helps Poor Model via Knowledge Infusion. CoRR abs/2005.10918 (2020) - [i24]Xiang Ling, Lingfei Wu, Saizhuo Wang, Tengfei Ma, Fangli Xu, Alex X. Liu, Chunming Wu, Shouling Ji:
Hierarchical Graph Matching Networks for Deep Graph Similarity Learning. CoRR abs/2007.04395 (2020) - [i23]Hanlu Wu, Tengfei Ma, Lingfei Wu, Tariro Manyumwa, Shouling Ji:
Unsupervised Reference-Free Summary Quality Evaluation via Contrastive Learning. CoRR abs/2010.01781 (2020) - [i22]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. CoRR abs/2010.12908 (2020) - [i21]Hanlu Wu, Tengfei Ma, Lingfei Wu, Shouling Ji:
Exploiting Heterogeneous Graph Neural Networks with Latent Worker/Task Correlation Information for Label Aggregation in Crowdsourcing. CoRR abs/2010.13080 (2020) - [i20]Zhihua Jin, Yong Wang, Qianwen Wang, Yao Ming, Tengfei Ma, Huamin Qu:
GNNVis: A Visual Analytics Approach for Prediction Error Diagnosis of Graph Neural Networks. CoRR abs/2011.11048 (2020) - 2019
- [i19]Aldo Pareja, Giacomo Domeniconi, Jie Chen, Tengfei Ma, Toyotaro Suzumura, Hiroki Kanezashi, Tim Kaler, Charles E. Leiserson:
EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs. CoRR abs/1902.10191 (2019) - [i18]Patrick Ferber, Tengfei Ma, Siyu Huo, Jie Chen, Michael Katz:
IPC: A Benchmark Data Set for Learning with Graph-Structured Data. CoRR abs/1905.06393 (2019) - [i17]Shenda Hong, Cao Xiao, Tengfei Ma, Hongyan Li, Jimeng Sun:
MINA: Multilevel Knowledge-Guided Attention for Modeling Electrocardiography Signals. CoRR abs/1905.11333 (2019) - [i16]Junyuan Shang, Tengfei Ma, Cao Xiao, Jimeng Sun:
Pre-training of Graph Augmented Transformers for Medication Recommendation. CoRR abs/1906.00346 (2019) - [i15]Yong Wang, Zhihua Jin, Qianwen Wang, Weiwei Cui, Tengfei Ma, Huamin Qu:
DeepDrawing: A Deep Learning Approach to Graph Drawing. CoRR abs/1907.11040 (2019) - [i14]Tengfei Ma, Junyuan Shang, Cao Xiao, Jimeng Sun:
GENN: Predicting Correlated Drug-drug Interactions with Graph Energy Neural Networks. CoRR abs/1910.02107 (2019) - [i13]Tengfei Ma, Jie Chen:
Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport. CoRR abs/1912.11176 (2019) - 2018
- [i12]Jie Chen, Tengfei Ma, Cao Xiao:
FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling. CoRR abs/1801.10247 (2018) - [i11]Tengfei Ma, Cao Xiao, Jiayu Zhou, Fei Wang:
Drug Similarity Integration Through Attentive Multi-view Graph Auto-Encoders. CoRR abs/1804.10850 (2018) - [i10]Junyuan Shang, Cao Xiao, Tengfei Ma, Hongyan Li, Jimeng Sun:
GAMENet: Graph Augmented MEmory Networks for Recommending Medication Combination. CoRR abs/1809.01852 (2018) - [i9]Shenda Hong, Cao Xiao, Tengfei Ma, Hongyan Li, Jimeng Sun:
RDPD: Rich Data Helps Poor Data via Imitation. CoRR abs/1809.01921 (2018) - [i8]Tengfei Ma, Jie Chen, Cao Xiao:
Constrained Generation of Semantically Valid Graphs via Regularizing Variational Autoencoders. CoRR abs/1809.02630 (2018) - [i7]Tengfei Ma, Chiamin Wu, Cao Xiao, Jimeng Sun:
AWE: Asymmetric Word Embedding for Textual Entailment. CoRR abs/1809.04047 (2018) - [i6]Tengfei Ma, Patrick Ferber, Siyu Huo, Jie Chen, Michael Katz:
Adaptive Planner Scheduling with Graph Neural Networks. CoRR abs/1811.00210 (2018) - [i5]Mark Weber, Jie Chen, Toyotaro Suzumura, Aldo Pareja, Tengfei Ma, Hiroki Kanezashi, Tim Kaler, Charles E. Leiserson, Tao B. Schardl:
Scalable Graph Learning for Anti-Money Laundering: A First Look. CoRR abs/1812.00076 (2018) - [i4]Zhongshu Gu, Hani Jamjoom, Dong Su, Heqing Huang, Jialong Zhang, Tengfei Ma, Dimitrios Pendarakis, Ian M. Molloy:
Reaching Data Confidentiality and Model Accountability on the CalTrain. CoRR abs/1812.03230 (2018) - 2016
- [i3]Long Duong, Hiroshi Kanayama, Tengfei Ma, Steven Bird, Trevor Cohn:
Learning Crosslingual Word Embeddings without Bilingual Corpora. CoRR abs/1606.09403 (2016) - [i2]Tengfei Ma:
Inverted Bilingual Topic Models for Lexicon Extraction from Non-parallel Data. CoRR abs/1612.07215 (2016) - 2010
- [i1]Houping Jia, Xiaojiang Huang, Tengfei Ma, Xiaojun Wan, Jianguo Xiao:
PKUTM Participation at TAC 2010 RTE and Summarization Track. TAC 2010
Coauthor Index
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