Tengfei Ma

133 papers A* 36A 4B 1Misc 1Journal 68Unranked 23
YearRankTypeTitle / Venue / Authors
2026 J jnl
Graph Concept Bottleneck Models.
Trans. Mach. Learn. Res.
Haotian Xu, Tsui-Wei Weng, Lam M. Nguyen, Tengfei Ma
2025 J jnl
Concept-Guided Backdoor Attack on Vision Language Models.
CoRR
Haoyu Shen, Weimin Lyu, Haotian Xu, Tengfei Ma
2025 J jnl
Enhancing Graph Representation Learning with Localized Topological Features.
CoRR
Zuoyu Yan, Qi Zhao, Ze Ye, Tengfei Ma, Liangcai Gao, Zhi Tang, Yusu Wang, Chao Chen
2025 J jnl
Enhancing Graph Representation Learning with Localized Topological Features.
J. Mach. Learn. Res.
Zuoyu Yan, Qi Zhao, Ze Ye, Tengfei Ma, Liangcai Gao, Zhi Tang, Yusu Wang, Chao Chen
2025 J jnl
Graph Concept Bottleneck Models.
CoRR
Haotian Xu, Tsui-Wei Weng, Lam M. Nguyen, Tengfei Ma
2025 A* conf
Influencer: Empowering Everyday Users in Creating Promotional Posts via AI-infused Exploration and Customization.
CHI
Xuye Liu, Annie Sun, Pengcheng An, Tengfei Ma, Jian Zhao
2025 J jnl
LLM4EFFI: Leveraging Large Language Models to Enhance Code Efficiency and Correctness.
CoRR
Tong Ye, Weigang Huang, Xuhong Zhang, Tengfei Ma, Peiyu Liu, Jianwei Yin, Wenhai Wang
2025 A* conf
MACEDON : Supporting Programmers with Real-Time Multi-Dimensional Code Evaluation and Optimization.
UIST
Xuye Liu, Yuzhe You, Xinrong Qiu, Tengfei Ma, Jian Zhao
2025 — conf
NBDESCRIB: A Dataset for Text Description Generation from Tables and Code in Jupyter Notebooks with Guidelines.
ACL (Findings)
Xuye Liu, Tengfei Ma, Yimu Wang, Fengjie Wang, Jian Zhao
2025 J jnl
Resting Neurons, Active Insights: Improving Input Sparsification for Large Language Models.
CoRR
Haotian Xu, Tian Gao, Tsui-Wei Weng, Tengfei Ma
2025 J jnl
Self-Supervised Learning on Molecular Graphs: A Systematic Investigation of Masking Design.
CoRR
Jiannan Yang, Veronika Thost, Tengfei Ma
2025 J jnl
Self-Supervised Learning on Molecular Graphs: A Systematic Investigation of Masking Design.
Trans. Mach. Learn. Res.
Jiannan Yang, Veronika Thost, Tengfei Ma
2025 A* conf
Shedding Light on Time Series Classification using Interpretability Gated Networks.
ICLR
Yunshi Wen, Tengfei Ma, Ronny Luss, Debarun Bhattacharjya, Achille Fokoue, Anak Agung Julius
2025 A* conf
Uncovering LLM-Generated Code: A Zero-Shot Synthetic Code Detector via Code Rewriting.
AAAI
Tong Ye, Yangkai Du, Tengfei Ma, Lingfei Wu, Xuhong Zhang, Shouling Ji, Wenhai Wang
2025 — conf
Understanding and Tackling Over-Dilution in Graph Neural Networks.
KDD (2)
Junhyun Lee, Veronika Thost, Bumsoo Kim, Jaewoo Kang, Tengfei Ma
2025 J jnl
Understanding and Tackling Over-Dilution in Graph Neural Networks.
CoRR
Junhyun Lee, Veronika Thost, Bumsoo Kim, Jaewoo Kang, Tengfei Ma
2025 J jnl
Wasserstein Graph Neural Networks for Graphs With Missing Attributes.
IEEE Trans. Pattern Anal. Mach. Intell.
Zhixian Chen, Tengfei Ma, Yangqiu Song, Yang Wang
2024 A* conf
Abstracted Shapes as Tokens - A Generalizable and Interpretable Model for Time-series Classification.
NeurIPS
Yunshi Wen, Tengfei Ma, Lily Weng, Lam M. Nguyen, Anak Agung Julius
2024 J jnl
Abstracted Shapes as Tokens - A Generalizable and Interpretable Model for Time-series Classification.
CoRR
Yunshi Wen, Tengfei Ma, Tsui-Wei Weng, Lam M. Nguyen, Anak Agung Julius
2024 A* conf
AdaCCD: Adaptive Semantic Contrasts Discovery Based Cross Lingual Adaptation for Code Clone Detection.
AAAI
Yangkai Du, Tengfei Ma, Lingfei Wu, Xuhong Zhang, Shouling Ji
2024 A* conf
FAC²E: Better Understanding Large Language Model Capabilities by Dissociating Language and Cognition.
EMNLP
Xiaoqiang Wang, Lingfei Wu, Tengfei Ma, Bang Liu
2024 J jnl
Influencer: Empowering Everyday Users in Creating Promotional Posts via AI-infused Exploration and Customization.
CoRR
Xuye Liu, Annie Sun, Pengcheng An, Tengfei Ma, Jian Zhao
2024 J jnl
Iterative or Innovative? A Problem-Oriented Perspective for Code Optimization.
CoRR
Tong Ye, Tengfei Ma, Lingfei Wu, Xuhong Zhang, Shouling Ji, Wenhai Wang
2024 — conf
Tram: A Token-level Retrieval-augmented Mechanism for Source Code Summarization.
NAACL-HLT (Findings)
Tong Ye, Lingfei Wu, Tengfei Ma, Xuhong Zhang, Yangkai Du, Peiyu Liu, Shouling Ji, Wenhai Wang
2024 — conf
TrojVLM: Backdoor Attack Against Vision Language Models.
ECCV (65)
Weimin Lyu, Lu Pang, Tengfei Ma, Haibin Ling, Chao Chen
2024 J jnl
TrojVLM: Backdoor Attack Against Vision Language Models.
CoRR
Weimin Lyu, Lu Pang, Tengfei Ma, Haibin Ling, Chao Chen
2024 J jnl
Uncovering LLM-Generated Code: A Zero-Shot Synthetic Code Detector via Code Rewriting.
CoRR
Tong Ye, Yangkai Du, Tengfei Ma, Lingfei Wu, Xuhong Zhang, Shouling Ji, Wenhai Wang
2024 A* conf
What Improves the Generalization of Graph Transformers? A Theoretical Dive into the Self-attention and Positional Encoding.
ICML
Hongkang Li, Meng Wang, Tengfei Ma, Sijia Liu, Zaixi Zhang, Pin-Yu Chen
2024 J jnl
What Improves the Generalization of Graph Transformers? A Theoretical Dive into the Self-attention and Positional Encoding.
CoRR
Hongkang Li, Meng Wang, Tengfei Ma, Sijia Liu, Zaixi Zhang, Pin-Yu Chen
2023 J jnl
AdaCCD: Adaptive Semantic Contrasts Discovery based Cross Lingual Adaptation for Code Clone Detection.
CoRR
Yangkai Du, Tengfei Ma, Lingfei Wu, Xuhong Zhang, Shouling Ji
2023 A* conf
CP-BCS: Binary Code Summarization Guided by Control Flow Graph and Pseudo Code.
EMNLP
Tong Ye, Lingfei Wu, Tengfei Ma, Xuhong Zhang, Yangkai Du, Peiyu Liu, Shouling Ji, Wenhai Wang
2023 J jnl
CP-BCS: Binary Code Summarization Guided by Control Flow Graph and Pseudo Code.
CoRR
Tong Ye, Lingfei Wu, Tengfei Ma, Xuhong Zhang, Yangkai Du, Peiyu Liu, Shouling Ji, Wenhai Wang
2023 — conf
Cycle Invariant Positional Encoding for Graph Representation Learning.
LoG
Zuoyu Yan, Tengfei Ma, Liangcai Gao, Zhi Tang, Chao Chen, Yusu Wang
2023 J jnl
Cycle Invariant Positional Encoding for Graph Representation Learning.
CoRR
Zuoyu Yan, Tengfei Ma, Liangcai Gao, Zhi Tang, Chao Chen, Yusu Wang
2023 J jnl
Enhancing Clinical Predictive Modeling through Model Complexity-Driven Class Proportion Tuning for Class Imbalanced Data: An Empirical Study on Opioid Overdose Prediction.
CoRR
Yinan Liu, Xinyu Dong, Weimin Lyu, Richard N. Rosenthal, Rachel Wong, Tengfei Ma, Fusheng Wang
2023 J jnl
Federated Learning of Models Pre-Trained on Different Features with Consensus Graphs.
CoRR
Tengfei Ma, Trong Nghia Hoang, Jie Chen
2023 A conf
Federated learning of models pre-trained on different features with consensus graphs.
UAI
Tengfei Ma, Trong Nghia Hoang, Jie Chen
2023 J jnl
GNNLens: A Visual Analytics Approach for Prediction Error Diagnosis of Graph Neural Networks.
IEEE Trans. Vis. Comput. Graph.
Zhihua Jin, Yong Wang, Qianwen Wang, Yao Ming, Tengfei Ma, Huamin Qu
2023 A* conf
IGB: Addressing The Gaps In Labeling, Features, Heterogeneity, and Size of Public Graph Datasets for Deep Learning Research.
KDD
Arpandeep Khatua, Vikram Sharma Mailthody, Bhagyashree Taleka, Tengfei Ma, Xiang Song, Wen-Mei Hwu
2023 J jnl
IGB: Addressing The Gaps In Labeling, Features, Heterogeneity, and Size of Public Graph Datasets for Deep Learning Research.
CoRR
Arpandeep Khatua, Vikram Sharma Mailthody, Bhagyashree Taleka, Tengfei Ma, Xiang Song, Wen-mei W. Hwu
2023 A* conf
Knowledge Graph Compression Enhances Diverse Commonsense Generation.
EMNLP
Eunjeong Hwang, Veronika Thost, Vered Shwartz, Tengfei Ma
2023 J jnl
Multilevel Graph Matching Networks for Deep Graph Similarity Learning.
IEEE Trans. Neural Networks Learn. Syst.
Xiang Ling, Lingfei Wu, Saizhuo Wang, Tengfei Ma, Fangli Xu, Alex X. Liu, Chunming Wu, Shouling Ji
2023 A* conf
Slide4N: Creating Presentation Slides from Computational Notebooks with Human-AI Collaboration.
CHI
Fengjie Wang, Xuye Liu, Oujing Liu, Ali Neshati, Tengfei Ma, Min Zhu, Jian Zhao
2023 A* conf
SyncTREE: Fast Timing Analysis for Integrated Circuit Design through a Physics-informed Tree-based Graph Neural Network.
NeurIPS
Yuting Hu, Jiajie Li, Florian Klemme, Gi-Joon Nam, Tengfei Ma, Hussam Amrouch, Jinjun Xiong
2023 J jnl
Tram: A Token-level Retrieval-augmented Mechanism for Source Code Summarization.
CoRR
Tong Ye, Lingfei Wu, Tengfei Ma, Xuhong Zhang, Yangkai Du, Peiyu Liu, Wenhai Wang, Shouling Ji
2023 A* conf
Weighted Clock Logic Point Process.
ICLR
Ruixuan Yan, Yunshi Wen, Debarun Bhattacharjya, Ronny Luss, Tengfei Ma, Achille Fokoue, Anak Agung Julius
2022 — conf
A Study of the Attention Abnormality in Trojaned BERTs.
NAACL-HLT
Weimin Lyu, Songzhu Zheng, Tengfei Ma, Chao Chen
2022 J jnl
A Study of the Attention Abnormality in Trojaned BERTs.
CoRR
Weimin Lyu, Songzhu Zheng, Tengfei Ma, Chao Chen
2022 J jnl
Attention Hijacking in Trojan Transformers.
CoRR
Weimin Lyu, Songzhu Zheng, Tengfei Ma, Haibin Ling, Chao Chen
2022 J jnl
CHEER: Rich Model Helps Poor Model via Knowledge Infusion.
IEEE Trans. Knowl. Data Eng.
Cao Xiao, Trong Nghia Hoang, Shenda Hong, Tengfei Ma, Jimeng Sun
2022 A* conf
Cycle Representation Learning for Inductive Relation Prediction.
ICML
Zuoyu Yan, Tengfei Ma, Liangcai Gao, Zhi Tang, Chao Chen
2022 J jnl
Exploiting Heterogeneous Graph Neural Networks with Latent Worker/Task Correlation Information for Label Aggregation in Crowdsourcing.
ACM Trans. Knowl. Discov. Data
Hanlu Wu, Tengfei Ma, Lingfei Wu, Fangli Xu, Shouling Ji
2022 A* conf
Improving Inductive Link Prediction Using Hyper-Relational Facts (Extended Abstract).
IJCAI
Mehdi Ali, Max Berrendorf, Mikhail Galkin, Veronika Thost, Tengfei Ma, Volker Tresp, Jens Lehmann
2022 J jnl
Improving Long Tailed Document-Level Relation Extraction via Easy Relation Augmentation and Contrastive Learning.
CoRR
Yangkai Du, Tengfei Ma, Lingfei Wu, Yiming Wu, Xuhong Zhang, Bo Long, Shouling Ji
2022 A* conf
MalGraph: Hierarchical Graph Neural Networks for Robust Windows Malware Detection.
INFOCOM
Xiang Ling, Lingfei Wu, Wei Deng, Zhenqing Qu, Jiangyu Zhang, Sheng Zhang, Tengfei Ma, Bin Wang, Chunming Wu, Shouling Ji
2022 J jnl
Neural Approximation of Extended Persistent Homology on Graphs.
CoRR
Zuoyu Yan, Tengfei Ma, Liangcai Gao, Zhi Tang, Yusu Wang, Chao Chen
2022 A* conf
Neural Approximation of Graph Topological Features.
NeurIPS
Zuoyu Yan, Tengfei Ma, Liangcai Gao, Zhi Tang, Yusu Wang, Chao Chen
2022 A* conf
Neuro-symbolic Models for Interpretable Time Series Classification using Temporal Logic Description.
ICDM
Ruixuan Yan, Tengfei Ma, Achille Fokoue, Maria Chang, Agung Julius
2022 J jnl
Neuro-symbolic Models for Interpretable Time Series Classification using Temporal Logic Description.
CoRR
Ruixuan Yan, Tengfei Ma, Achille Fokoue, Maria Chang, Agung Julius
2022 J jnl
When Does A Spectral Graph Neural Network Fail in Node Classification?
CoRR
Zhixian Chen, Tengfei Ma, Yang Wang
2021 J jnl
A Topological View of Rule Learning in Knowledge Graphs.
CoRR
Zuoyu Yan, Tengfei Ma, Liangcai Gao, Zhi Tang, Chao Chen
2021 J jnl
BiGCN: A Bi-directional Low-Pass Filtering Graph Neural Network.
CoRR
Zhixian Chen, Tengfei Ma, Zhihua Jin, Yangqiu Song, Yang Wang
2021 J jnl
Constructing Contrastive samples via Summarization for Text Classification with limited annotations.
CoRR
Yangkai Du, Tengfei Ma, Lingfei Wu, Fangli Xu, Xuhong Zhang, Shouling Ji
2021 — conf
Constructing contrastive samples via summarization for text classification with limited annotations.
EMNLP (Findings)
Yangkai Du, Tengfei Ma, Lingfei Wu, Fangli Xu, Xuhong Zhang, Bo Long, Shouling Ji
2021 J jnl
Deep Graph Matching and Searching for Semantic Code Retrieval.
ACM Trans. Knowl. Discov. Data
Xiang Ling, Lingfei Wu, Saizhuo Wang, Gaoning Pan, Tengfei Ma, Fangli Xu, Alex X. Liu, Chunming Wu, Shouling Ji
2021 J jnl
Improving Inductive Link Prediction Using Hyper-Relational Facts.
CoRR
Mehdi Ali, Max Berrendorf, Mikhail Galkin, Veronika Thost, Tengfei Ma, Volker Tresp, Jens Lehmann
2021 Misc conf
Improving Inductive Link Prediction Using Hyper-relational Facts.
ISWC
Mehdi Ali, Max Berrendorf, Mikhail Galkin, Veronika Thost, Tengfei Ma, Volker Tresp, Jens Lehmann
2021 A* conf
Link Prediction with Persistent Homology: An Interactive View.
ICML
Zuoyu Yan, Tengfei Ma, Liangcai Gao, Zhi Tang, Chao Chen
2021 J jnl
Persistence Homology for Link Prediction: An Interactive View.
CoRR
Zuoyu Yan, Tengfei Ma, Liangcai Gao, Zhi Tang, Chao Chen
2021 J jnl
Relation Matters in Sampling: A Scalable Multi-Relational Graph Neural Network for Drug-Drug Interaction Prediction.
CoRR
Arthur Feeney, Rishabh Gupta, Veronika Thost, Rico Angell, Gayathri Chandu, Yash Adhikari, Tengfei Ma
2021 — conf
STONE: Signal Temporal Logic Neural Network for Time Series Classification.
ICDM (Workshops)
Ruixuan Yan, Agung Julius, Maria Chang, Achille Fokoue, Tengfei Ma, Rosario Uceda-Sosa
2021 — conf
Timeline Summarization based on Event Graph Compression via Time-Aware Optimal Transport.
EMNLP (1)
Manling Li, Tengfei Ma, Mo Yu, Lingfei Wu, Tian Gao, Heng Ji, Kathleen R. McKeown
2021 A* conf
Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport.
AAAI
Tengfei Ma, Jie Chen
2021 J jnl
Wasserstein diffusion on graphs with missing attributes.
CoRR
Zhixian Chen, Tengfei Ma, Yangqiu Song, Yang Wang
2020 J jnl
CHEER: Rich Model Helps Poor Model via Knowledge Infusion.
CoRR
Cao Xiao, Trong Nghia Hoang, Shenda Hong, Tengfei Ma, Jimeng Sun
2020 A* conf
Curvature Graph Network.
ICLR
Ze Ye, Kin Sum Liu, Tengfei Ma, Jie Gao, Chao Chen
2020 A* conf
Deep Graph Learning: Foundations, Advances and Applications.
KDD
Yu Rong, Tingyang Xu, Junzhou Huang, Wenbing Huang, Hong Cheng, Yao Ma, Yiqi Wang, Tyler Derr, Lingfei Wu, Tengfei Ma
2020 J jnl
Deep Graph Matching and Searching for Semantic Code Retrieval.
CoRR
Xiang Ling, Lingfei Wu, Saizhuo Wang, Gaoning Pan, Tengfei Ma, Fangli Xu, Alex X. Liu, Chunming Wu, Shouling Ji
2020 J jnl
DeepDrawing: A Deep Learning Approach to Graph Drawing.
IEEE Trans. Vis. Comput. Graph.
Yong Wang, Zhihua Jin, Qianwen Wang, Weiwei Cui, Tengfei Ma, Huamin Qu
2020 A* conf
EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs.
AAAI
Aldo Pareja, Giacomo Domeniconi, Jie Chen, Tengfei Ma, Toyotaro Suzumura, Hiroki Kanezashi, Tim Kaler, Tao B. Schardl, Charles E. Leiserson
2020 J jnl
Exploiting Heterogeneous Graph Neural Networks with Latent Worker/Task Correlation Information for Label Aggregation in Crowdsourcing.
CoRR
Hanlu Wu, Tengfei Ma, Lingfei Wu, Shouling Ji
2020 J jnl
GNNVis: A Visual Analytics Approach for Prediction Error Diagnosis of Graph Neural Networks.
CoRR
Zhihua Jin, Yong Wang, Qianwen Wang, Yao Ming, Tengfei Ma, Huamin Qu
2020 J jnl
Hierarchical Graph Matching Networks for Deep Graph Similarity Learning.
CoRR
Xiang Ling, Lingfei Wu, Saizhuo Wang, Tengfei Ma, Fangli Xu, Alex X. Liu, Chunming Wu, Shouling Ji
2020 A* conf
Online Planner Selection with Graph Neural Networks and Adaptive Scheduling.
AAAI
Tengfei Ma, Patrick Ferber, Siyu Huo, Jie Chen, Michael Katz
2020 — conf
Supervised Topic Compositional Neural Language Model for Clinical Narrative Understanding.
IEEE BigData
Xiao Qin, Cao Xiao, Tengfei Ma, Tabassum Kakar, Susmitha Wunnava, Xiangnan Kong, Elke A. Rundensteiner, Fei Wang
2020 — conf
Unsupervised Reference-Free Summary Quality Evaluation via Contrastive Learning.
EMNLP (1)
Hanlu Wu, Tengfei Ma, Lingfei Wu, Tariro Manyumwa, Shouling Ji
2020 J jnl
Unsupervised Reference-Free Summary Quality Evaluation via Contrastive Learning.
CoRR
Hanlu Wu, Tengfei Ma, Lingfei Wu, Tariro Manyumwa, Shouling Ji
2019 J jnl
DeepDrawing: A Deep Learning Approach to Graph Drawing.
CoRR
Yong Wang, Zhihua Jin, Qianwen Wang, Weiwei Cui, Tengfei Ma, Huamin Qu
2019 J jnl
EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs.
CoRR
Aldo Pareja, Giacomo Domeniconi, Jie Chen, Tengfei Ma, Toyotaro Suzumura, Hiroki Kanezashi, Tim Kaler, Charles E. Leiserson
2019 A* conf
GAMENet: Graph Augmented MEmory Networks for Recommending Medication Combination.
AAAI
Junyuan Shang, Cao Xiao, Tengfei Ma, Hongyan Li, Jimeng Sun
2019 J jnl
GENN: Predicting Correlated Drug-drug Interactions with Graph Energy Neural Networks.
CoRR
Tengfei Ma, Junyuan Shang, Cao Xiao, Jimeng Sun
2019 — conf
Graph Enhanced Cross-Domain Text-to-SQL Generation.
TextGraphs@EMNLP
Siyu Huo, Tengfei Ma, Jie Chen, Maria Chang, Lingfei Wu, Michael Witbrock
2019 J jnl
IPC: A Benchmark Data Set for Learning with Graph-Structured Data.
CoRR
Patrick Ferber, Tengfei Ma, Siyu Huo, Jie Chen, Michael Katz
2019 A* conf
MINA: Multilevel Knowledge-Guided Attention for Modeling Electrocardiography Signals.
IJCAI
Shenda Hong, Cao Xiao, Tengfei Ma, Hongyan Li, Jimeng Sun
2019 J jnl
MINA: Multilevel Knowledge-Guided Attention for Modeling Electrocardiography Signals.
CoRR
Shenda Hong, Cao Xiao, Tengfei Ma, Hongyan Li, Jimeng Sun
2019 — conf
PEARL: Prototype Learning via Rule Learning.
BCB
Tianfan Fu, Tian Gao, Cao Xiao, Tengfei Ma, Jimeng Sun
2019 — conf
PEARL: Prototype Learning via Rule Learning.
BCB
Tianfan Fu, Tian Gao, Cao Xiao, Tengfei Ma, Jimeng Sun
2019 — conf
Pre-Training BERT on Domain Resources for Short Answer Grading.
EMNLP/IJCNLP (1)
Chul Sung, Tejas I. Dhamecha, Swarnadeep Saha, Tengfei Ma, Vinay Reddy, Rishi Arora
2019 A* conf
Pre-training of Graph Augmented Transformers for Medication Recommendation.
IJCAI
Junyuan Shang, Tengfei Ma, Cao Xiao, Jimeng Sun
2019 J jnl
Pre-training of Graph Augmented Transformers for Medication Recommendation.
CoRR
Junyuan Shang, Tengfei Ma, Cao Xiao, Jimeng Sun
2019 A* conf
RDPD: Rich Data Helps Poor Data via Imitation.
IJCAI
Shenda Hong, Cao Xiao, Trong Nghia Hoang, Tengfei Ma, Hongyan Li, Jimeng Sun
2019 A conf
Reaching Data Confidentiality and Model Accountability on the CalTrain.
DSN
Zhongshu Gu, Hani Jamjoom, Dong Su, Heqing Huang, Jialong Zhang, Tengfei Ma, Dimitrios Pendarakis, Ian M. Molloy
2019 J jnl
Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport.
CoRR
Tengfei Ma, Jie Chen
2018 J jnl
AWE: Asymmetric Word Embedding for Textual Entailment.
CoRR
Tengfei Ma, Chiamin Wu, Cao Xiao, Jimeng Sun
2018 J jnl
Adaptive Planner Scheduling with Graph Neural Networks.
CoRR
Tengfei Ma, Patrick Ferber, Siyu Huo, Jie Chen, Michael Katz
2018 A* conf
Constrained Generation of Semantically Valid Graphs via Regularizing Variational Autoencoders.
NeurIPS
Tengfei Ma, Jie Chen, Cao Xiao
2018 J jnl
Constrained Generation of Semantically Valid Graphs via Regularizing Variational Autoencoders.
CoRR
Tengfei Ma, Jie Chen, Cao Xiao
2018 A* conf
Drug Similarity Integration Through Attentive Multi-view Graph Auto-Encoders.
IJCAI
Tengfei Ma, Cao Xiao, Jiayu Zhou, Fei Wang
2018 J jnl
Drug Similarity Integration Through Attentive Multi-view Graph Auto-Encoders.
CoRR
Tengfei Ma, Cao Xiao, Jiayu Zhou, Fei Wang
2018 — conf
FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling.
ICLR (Poster)
Jie Chen, Tengfei Ma, Cao Xiao
2018 J jnl
FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling.
CoRR
Jie Chen, Tengfei Ma, Cao Xiao
2018 J jnl
GAMENet: Graph Augmented MEmory Networks for Recommending Medication Combination.
CoRR
Junyuan Shang, Cao Xiao, Tengfei Ma, Hongyan Li, Jimeng Sun
2018 A conf
Health-ATM: A Deep Architecture for Multifaceted Patient Health Record Representation and Risk Prediction.
SDM
Tengfei Ma, Cao Xiao, Fei Wang
2018 — conf
Human-level Multiple Choice Question Guessing Without Domain Knowledge: Machine-Learning of Framing Effects.
WWW (Companion Volume)
Patrick Watson, Tengfei Ma, Ravi Tejwani, Maria Chang, Jae-wook Ahn, Sharad Sundararajan
2018 — conf
Preliminary Evaluations of a Dialogue-Based Digital Tutor.
AIED (2)
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
2018 J jnl
RDPD: Rich Data Helps Poor Data via Imitation.
CoRR
Shenda Hong, Cao Xiao, Tengfei Ma, Hongyan Li, Jimeng Sun
2018 J jnl
Reaching Data Confidentiality and Model Accountability on the CalTrain.
CoRR
Zhongshu Gu, Hani Jamjoom, Dong Su, Heqing Huang, Jialong Zhang, Tengfei Ma, Dimitrios Pendarakis, Ian M. Molloy
2018 J jnl
Scalable Graph Learning for Anti-Money Laundering: A First Look.
CoRR
Mark Weber, Jie Chen, Toyotaro Suzumura, Aldo Pareja, Tengfei Ma, Hiroki Kanezashi, Tim Kaler, Charles E. Leiserson, Tao B. Schardl
2017 A* conf
Inverted Bilingual Topic Models for Lexicon Extraction from Non-parallel Data.
IJCAI
Tengfei Ma, Tetsuya Nasukawa
2017 — conf
Multilingual Training of Crosslingual Word Embeddings.
EACL (1)
Long Duong, Hiroshi Kanayama, Tengfei Ma, Steven Bird, Trevor Cohn
2017 A conf
Wizard's Apprentice: Cognitive Suggestion Support for Wizard-of-Oz Question Answering.
AIED
Jae-wook Ahn, Patrick Watson, Maria Chang, Sharad Sundararajan, Tengfei Ma, Nirmal Mukhi, Srijith Prabhu
2016 J jnl
Accelerated Kaczmarz Algorithms using History Information.
CoRR
Tengfei Ma
2016 J jnl
Inverted Bilingual Topic Models for Lexicon Extraction from Non-parallel Data.
CoRR
Tengfei Ma
2016 A* conf
Learning Crosslingual Word Embeddings without Bilingual Corpora.
EMNLP
Long Duong, Hiroshi Kanayama, Tengfei Ma, Steven Bird, Trevor Cohn
2016 J jnl
Learning Crosslingual Word Embeddings without Bilingual Corpora.
CoRR
Long Duong, Hiroshi Kanayama, Tengfei Ma, Steven Bird, Trevor Cohn
2015 A* conf
The Hybrid Nested/Hierarchical Dirichlet Process and its Application to Topic Modeling with Word Differentiation.
AAAI
Tengfei Ma, Issei Sato, Hiroshi Nakagawa
2013 — conf
Automated Tracing of Retinal Blood Vessels Using Graphical Models.
SCIA
Jaydeep De, Tengfei Ma, Huiqi Li, Manoranjan Dash, Cheng Li
2013 A* conf
Automatically Determining a Proper Length for Multi-Document Summarization: A Bayesian Nonparametric Approach.
EMNLP
Tengfei Ma, Hiroshi Nakagawa
2011 B conf
Named Entity Recognition in Chinese News Comments on the Web.
IJCNLP
Xiaojun Wan, Liang Zong, Xiaojiang Huang, Tengfei Ma, Houping Jia, Yuqian Wu, Jianguo Xiao
2010 A* conf
Multi-document Summarization Using Minimum Distortion.
ICDM
Tengfei Ma, Xiaojun Wan
2010 — conf
Opinion Target Extraction in Chinese News Comments.
COLING (Posters)
Tengfei Ma, Xiaojun Wan
2010 — conf
PKUTM Experiments in NTCIR-8 MOAT Task.
NTCIR
Chenfeng Wang, Tengfei Ma, Liqiang Guo, Xiaojun Wan, Jianwu Yang
2010 — conf
PKUTM Participation at TAC 2010 RTE and Summarization Track.
TAC
Houping Jia, Xiaojiang Huang, Tengfei Ma, Xiaojun Wan, Jianguo Xiao