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ORCIDMeng Jiang 0001
Person information
- affiliation: University of Notre Dame, Department of Computer Science and Engineering, IN, USA
- affiliation (2015 - 2017): University of Illinois at Urbana-Champaign, Department of Computer Science, Urbana, IL, USA
- affiliation (PhD 2015): Tsinghua University, Department of Computer Science and Technology, Beijing, China
- affiliation (2012 - 2013): Carnegie Mellon University, Department of Computer Science, Pittsburgh, PA, USA
Other persons with the same name
- Meng Jiang — disambiguation page
- Meng Jiang 0002 — Rochester Institute of Technology, Department of Computer Engineering, NY, USA
- Meng Jiang 0003 — University of Electronic Science and Technology of China, School of Electronic Engineering, China
- Meng Jiang 0004 — Shandong Agricultural University, Taian, China
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2020 – today
- 2023
[j27]Daheng Wang
, Zhihan Zhang, Yihong Ma, Tong Zhao, Tianwen Jiang, Nitesh V. Chawla, Meng Jiang:
Modeling Co-Evolution of Attributed and Structural Information in Graph Sequence. IEEE Trans. Knowl. Data Eng. 35(2): 1817-1830 (2023)- 2022
- [j26]Shawn Gu, Meng Jiang, Pietro Hiram Guzzi, Tijana Milenkovic:
Modeling multi-scale data via a network of networks. Bioinform. 38(9): 2544-2553 (2022) - [j25]Dylan Chou, Meng Jiang:
A Survey on Data-driven Network Intrusion Detection. ACM Comput. Surv. 54(9): 182:1-182:36 (2022) - [j24]Wenhao Yu, Chenguang Zhu, Zaitang Li, Zhiting Hu, Qingyun Wang, Heng Ji, Meng Jiang:
A Survey of Knowledge-enhanced Text Generation. ACM Comput. Surv. 54(11s): 227:1-227:38 (2022) - [j23]Meng Jiang, Chuxu Zhang, Xiangliang Zhang, Neil Shah:
Editorial: Computational Behavioral Modeling for Big User Data. Frontiers Big Data 5: 893216 (2022) - [j22]Mandana Saebi, Steven Kreig, Chuxu Zhang, Meng Jiang, Tomasz Kajdanowicz, Nitesh V. Chawla:
Heterogeneous relational reasoning in knowledge graphs with reinforcement learning. Inf. Fusion 88: 12-21 (2022) - [j21]Meng Jiang, Taeho Jung, Ryan Karl, Tong Zhao:
Federated Dynamic Graph Neural Networks with Secure Aggregation for Video-based Distributed Surveillance. ACM Trans. Intell. Syst. Technol. 13(4): 56:1-56:23 (2022) - [j20]Sendong Zhao, Meng Jiang, Bing Qin, Ting Liu, ChengXiang Zhai, Fei Wang:
Structural and Textual Information Fusion for Symptom and Disease Representation Learning. IEEE Trans. Knowl. Data Eng. 34(9): 4468-4483 (2022) - [j19]Tong Zhao, Tianwen Jiang, Neil Shah, Meng Jiang:
A Synergistic Approach for Graph Anomaly Detection With Pattern Mining and Feature Learning. IEEE Trans. Neural Networks Learn. Syst. 33(6): 2393-2405 (2022) - [c77]Chenguang Zhu, Yichong Xu, Xiang Ren, Bill Y. Lin, Meng Jiang, Wenhao Yu:
Knowledge-Augmented Methods for Natural Language Processing. ACL (tutorial) 2022: 12-20 - [c76]Wenhao Yu, Chenguang Zhu, Lianhui Qin, Zhihan Zhang, Tong Zhao, Meng Jiang:
Diversifying Content Generation for Commonsense Reasoning with Mixture of Knowledge Graph Experts. ACL (Findings) 2022: 1896-1906 - [c75]Wenhao Yu, Chenguang Zhu, Yuwei Fang, Donghan Yu, Shuohang Wang, Yichong Xu, Michael Zeng, Meng Jiang:
Dict-BERT: Enhancing Language Model Pre-training with Dictionary. ACL (Findings) 2022: 1907-1918 - [c74]Tong Zhao, Gang Liu, Daheng Wang, Wenhao Yu, Meng Jiang:
Learning from Counterfactual Links for Link Prediction. ICML 2022: 26911-26926 - [c73]Gang Liu, Tong Zhao, Jiaxin Xu, Tengfei Luo, Meng Jiang:
Graph Rationalization with Environment-based Augmentations. KDD 2022: 1069-1078 - [c72]Xiaojie Guo, Qingkai Zeng, Meng Jiang, Yun Xiao, Bo Long, Lingfei Wu:
Automatic Controllable Product Copywriting for E-Commerce. KDD 2022: 2946-2956 - [i45]Tong Zhao, Gang Liu, Stephan Günnemann, Meng Jiang:
Graph Data Augmentation for Graph Machine Learning: A Survey. CoRR abs/2202.08871 (2022) - [i44]Wenhao Yu, Chenguang Zhu, Lianhui Qin, Zhihan Zhang, Tong Zhao, Meng Jiang:
Diversifying Content Generation for Commonsense Reasoning with Mixture of Knowledge Graph Experts. CoRR abs/2203.07285 (2022) - [i43]Zhihan Zhang, Wenhao Yu, Mengxia Yu, Zhichun Guo, Meng Jiang:
A Survey of Multi-task Learning in Natural Language Processing: Regarding Task Relatedness and Training Methods. CoRR abs/2204.03508 (2022) - [i42]Gang Liu, Tong Zhao, Jiaxin Xu, Tengfei Luo, Meng Jiang:
Graph Rationalization with Environment-based Augmentations. CoRR abs/2206.02886 (2022) - [i41]Xiaojie Guo, Qingkai Zeng, Meng Jiang, Yun Xiao, Bo Long, Lingfei Wu:
Automatic Controllable Product Copywriting for E-Commerce. CoRR abs/2206.10103 (2022) - [i40]Jinfeng Lin, Amrit Poudel, Wenhao Yu, Qingkai Zeng, Meng Jiang, Jane Cleland-Huang:
Enhancing Automated Software Traceability by Transfer Learning from Open-World Data. CoRR abs/2207.01084 (2022) - [i39]Gang Liu, Zhihan Zhang, Zheng Ning, Meng Jiang:
On the Relationship between Counterfactual Explainer and Recommender: A Framework and Preliminary Observations. CoRR abs/2207.04317 (2022) - [i38]Wenhao Yu, Dan Iter, Shuohang Wang, Yichong Xu, Mingxuan Ju, Soumya Sanyal, Chenguang Zhu, Michael Zeng, Meng Jiang:
Generate rather than Retrieve: Large Language Models are Strong Context Generators. CoRR abs/2209.10063 (2022) - [i37]Zhihan Zhang, Wenhao Yu, Chenguang Zhu, Meng Jiang:
A Unified Encoder-Decoder Framework with Entity Memory. CoRR abs/2210.03273 (2022) - [i36]Wenhao Yu, Chenguang Zhu, Zhihan Zhang, Shuohang Wang, Zhuosheng Zhang, Yuwei Fang, Meng Jiang:
Retrieval Augmentation for Commonsense Reasoning: A Unified Approach. CoRR abs/2210.12887 (2022) - 2021
- [j18]Munira Syed, Daheng Wang, Meng Jiang, Oliver Conway, Vishal Juneja, Sriram Subramanian, Nitesh V. Chawla:
Unified Representation of Twitter and Online News Using Graph and Entities. Frontiers Big Data 4: 699070 (2021) - [j17]Tianwen Jiang, Qingkai Zeng, Tong Zhao, Bing Qin, Ting Liu, Nitesh V. Chawla, Meng Jiang:
Biomedical Knowledge Graphs Construction From Conditional Statements. IEEE ACM Trans. Comput. Biol. Bioinform. 18(3): 823-835 (2021) - [j16]Daheng Wang, Qingkai Zeng, Nitesh V. Chawla, Meng Jiang:
Modeling Complementarity in Behavior Data with Multi-Type Itemset Embedding. ACM Trans. Intell. Syst. Technol. 12(4): 42:1-42:25 (2021) - [j15]Chuxu Zhang, Huaxiu Yao, Lu Yu, Chao Huang, Dongjin Song, Haifeng Chen, Meng Jiang, Nitesh V. Chawla:
Inductive Contextual Relation Learning for Personalization. ACM Trans. Inf. Syst. 39(3): 35:1-35:22 (2021) - [c71]Tong Zhao, Yozen Liu, Leonardo Neves, Oliver J. Woodford, Meng Jiang, Neil Shah:
Data Augmentation for Graph Neural Networks. AAAI 2021: 11015-11023 - [c70]Tong Zhao, Bo Ni, Wenhao Yu, Zhichun Guo, Neil Shah, Meng Jiang:
Action Sequence Augmentation for Early Graph-based Anomaly Detection. CIKM 2021: 2668-2678 - [c69]Xiangyu Dong, Wenhao Yu, Chenguang Zhu, Meng Jiang:
Injecting Entity Types into Entity-Guided Text Generation. EMNLP (1) 2021: 734-741 - [c68]Wenhao Yu, Chenguang Zhu, Tong Zhao, Zhichun Guo, Meng Jiang:
Sentence-Permuted Paragraph Generation. EMNLP (1) 2021: 5051-5062 - [c67]Joseph Kuebler, Lingbo Tong, Meng Jiang:
Multi-Round Parsing-based Multiword Rules for Scientific Knowledge Extraction. ICBK 2021: 331-338 - [c66]Daheng Wang, Tong Zhao, Nitesh V. Chawla, Meng Jiang:
Dynamic Attributed Graph Prediction with Conditional Normalizing Flows. ICDM 2021: 1385-1390 - [c65]Jinfeng Lin, Yalin Liu, Qingkai Zeng, Meng Jiang, Jane Cleland-Huang:
Traceability Transformed: Generating more Accurate Links with Pre-Trained BERT Models. ICSE 2021: 324-335 - [c64]Meng Jiang:
Cross-Network Learning with Partially Aligned Graph Convolutional Networks. KDD 2021: 746-755 - [c63]Qingkai Zeng, Jinfeng Lin, Wenhao Yu, Jane Cleland-Huang, Meng Jiang:
Enhancing Taxonomy Completion with Concept Generation via Fusing Relational Representations. KDD 2021: 2104-2113 - [c62]Chuxu Zhang, Jundong Li, Meng Jiang:
Data Efficient Learning on Graphs. KDD 2021: 4092-4093 - [c61]Aude Hofleitner, Meng Jiang, Srijan Kumar, Neil Shah, Kai Shu:
The Second International MIS2 Workshop: Misinformation and Misbehavior Mining on the Web. KDD 2021: 4129-4130 - [c60]Wenhao Yu, Lingfei Wu, Yu Deng, Qingkai Zeng, Ruchi Mahindru, Sinem Guven, Meng Jiang:
Technical Question Answering across Tasks and Domains. NAACL-HLT (Industry Papers) 2021: 178-186 - [c59]Chenguang Zhu, William Hinthorn, Ruochen Xu, Qingkai Zeng, Michael Zeng, Xuedong Huang, Meng Jiang:
Enhancing Factual Consistency of Abstractive Summarization. NAACL-HLT 2021: 718-733 - [c58]Zhichun Guo, Chuxu Zhang, Wenhao Yu, John Herr, Olaf Wiest, Meng Jiang, Nitesh V. Chawla:
Few-Shot Graph Learning for Molecular Property Prediction. WWW 2021: 2559-2567 - [c57]Daheng Wang, Prashant Shiralkar, Colin Lockard, Binxuan Huang, Xin Luna Dong, Meng Jiang:
TCN: Table Convolutional Network for Web Table Interpretation. WWW 2021: 4020-4032 - [i35]Qingkai Zeng, Mengxia Yu, Wenhao Yu, Tianwen Jiang, Tim Weninger, Meng Jiang:
Validating Label Consistency in NER Data Annotation. CoRR abs/2101.08698 (2021) - [i34]Jinfeng Lin, Yalin Liu, Qingkai Zeng, Meng Jiang, Jane Cleland-Huang:
Traceability Transformed: Generating more Accurate Links with Pre-Trained BERT Models. CoRR abs/2102.04411 (2021) - [i33]Zhichun Guo, Chuxu Zhang, Wenhao Yu, John Herr, Olaf Wiest, Meng Jiang, Nitesh V. Chawla:
Few-Shot Graph Learning for Molecular Property Prediction. CoRR abs/2102.07916 (2021) - [i32]Daheng Wang, Prashant Shiralkar, Colin Lockard, Binxuan Huang, Xin Luna Dong, Meng Jiang:
TCN: Table Convolutional Network for Web Table Interpretation. CoRR abs/2102.09460 (2021) - [i31]Wenhao Yu, Chenguang Zhu, Tong Zhao, Zhichun Guo, Meng Jiang:
Sentence-Permuted Paragraph Generation. CoRR abs/2104.07228 (2021) - [i30]Meng Jiang:
Cross-Network Learning with Partially Aligned Graph Convolutional Networks. CoRR abs/2106.01583 (2021) - [i29]Tong Zhao, Gang Liu, Daheng Wang, Wenhao Yu, Meng Jiang:
Counterfactual Graph Learning for Link Prediction. CoRR abs/2106.02172 (2021) - [i28]Qingkai Zeng, Jinfeng Lin, Wenhao Yu, Jane Cleland-Huang, Meng Jiang:
Enhancing Taxonomy Completion with Concept Generation via Fusing Relational Representations. CoRR abs/2106.02974 (2021) - [i27]Joseph Kuebler, Lingbo Tong, Meng Jiang:
Multi-Round Parsing-based Multiword Rules for Scientific OpenIE. CoRR abs/2108.02074 (2021) - [i26]Wenhao Yu, Chenguang Zhu, Yuwei Fang, Donghan Yu, Shuohang Wang, Yichong Xu, Michael Zeng, Meng Jiang:
Dict-BERT: Enhancing Language Model Pre-training with Dictionary. CoRR abs/2110.06490 (2021) - 2020
- [j14]Xueying Wang, Meng Jiang:
Precise temporal slot filling via truth finding with data-driven commonsense. Knowl. Inf. Syst. 62(10): 4113-4139 (2020) - [j13]Jinglan Liu, Jiaxin Zhang, Yukun Ding, Xiaowei Xu, Meng Jiang, Yiyu Shi:
Binarizing Weights Wisely for Edge Intelligence: Guide for Partial Binarization of Deconvolution-Based Generators. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(12): 4748-4759 (2020) - [j12]Kun Kuang, Peng Cui, Bo Li, Meng Jiang, Yashen Wang, Fei Wu, Shiqiang Yang:
Treatment Effect Estimation via Differentiated Confounder Balancing and Regression. ACM Trans. Knowl. Discov. Data 14(1): 6:1-6:25 (2020) - [c56]Chuxu Zhang, Huaxiu Yao, Chao Huang, Meng Jiang, Zhenhui Li, Nitesh V. Chawla:
Few-Shot Knowledge Graph Completion. AAAI 2020: 3041-3048 - [c55]Huaxiu Yao, Chuxu Zhang, Ying Wei, Meng Jiang, Suhang Wang, Junzhou Huang, Nitesh V. Chawla, Zhenhui Li:
Graph Few-Shot Learning via Knowledge Transfer. AAAI 2020: 6656-6663 - [c54]Pingjie Tang, Meng Jiang, Bryan (Ning) Xia, Jed W. Pitera, Jeffrey Welser, Nitesh V. Chawla:
Multi-Label Patent Categorization with Non-Local Attention-Based Graph Convolutional Network. AAAI 2020: 9024-9031 - [c53]Wenhao Yu, Lingfei Wu, Qingkai Zeng, Shu Tao, Yu Deng, Meng Jiang:
Crossing Variational Autoencoders for Answer Retrieval. ACL 2020: 5635-5641 - [c52]Munira Syed, Daheng Wang, Meng Jiang, Oliver Conway, Vishal Juneja, Sriram Subramanian, Nitesh V. Chawla:
Overcoming Data Sparsity in Predicting User Characteristics from Behavior through Graph Embeddings. ASONAM 2020: 32-36 - [c51]Tianwen Jiang, Ning Zhang, Ming Liu, Meng Jiang, Ting Liu, Bing Qin:
Use of "Internal Knowledge": Biomedical Literature Search Liberated From External Resources. BIBM 2020: 275-280 - [c50]Jennifer J. Schnur, Ryan Karl, Angélica García-Martínez, Meng Jiang, Nitesh V. Chawla:
Imputing Growth Snapshot Similarity in Early Childhood Development: A Tensor Decomposition Approach. BIBM 2020: 729-734 - [c49]Alvin Alaphat, Meng Jiang:
SmartFund: Predicting Research Outcomes with Machine Learning and Natural Language Processing. IEEE BigData 2020: 2857-2865 - [c48]Zhichun Guo, Wenhao Yu, Chuxu Zhang, Meng Jiang, Nitesh V. Chawla:
GraSeq: Graph and Sequence Fusion Learning for Molecular Property Prediction. CIKM 2020: 435-443 - [c47]Tong Zhao, Chuchen Deng, Kaifeng Yu, Tianwen Jiang, Daheng Wang, Meng Jiang:
Error-Bounded Graph Anomaly Loss for GNNs. CIKM 2020: 1873-1882 - [c46]Wenhao Yu, Lingfei Wu, Yu Deng, Ruchi Mahindru, Qingkai Zeng, Sinem Guven, Meng Jiang:
A Technical Question Answering System with Transfer Learning. EMNLP (Demos) 2020: 92-99 - [c45]Chuxu Zhang, Lu Yu, Mandana Saebi, Meng Jiang, Nitesh V. Chawla:
Few-Shot Multi-Hop Relation Reasoning over Knowledge Bases. EMNLP (Findings) 2020: 580-585 - [c44]Qingkai Zeng, Wenhao Yu, Mengxia Yu, Tianwen Jiang, Tim Weninger, Meng Jiang:
Tri-Train: Automatic Pre-Fine Tuning between Pre-Training and Fine-Tuning for SciNER. EMNLP (Findings) 2020: 4778-4787 - [c43]Daheng Wang, Meng Jiang, Munira Syed, Oliver Conway, Vishal Juneja, Sriram Subramanian, Nitesh V. Chawla:
Calendar Graph Neural Networks for Modeling Time Structures in Spatiotemporal User Behaviors. KDD 2020: 2581-2589 - [c42]Meng Jiang, Jingbo Shang:
Scientific Text Mining and Knowledge Graphs. KDD 2020: 3537-3538 - [c41]Chuxu Zhang, Meng Jiang, Xiangliang Zhang, Yanfang Ye, Nitesh V. Chawla:
Multi-modal Network Representation Learning. KDD 2020: 3557-3558 - [c40]Yalin Liu, Jinfeng Lin, Qingkai Zeng, Meng Jiang, Jane Cleland-Huang:
Towards Semantically Guided Traceability. RE 2020: 328-333 - [c39]Wenhao Yu, Wei Peng, Yu Shu, Qingkai Zeng, Meng Jiang:
Experimental Evidence Extraction System in Data Science with Hybrid Table Features and Ensemble Learning. WWW 2020: 951-961 - [c38]Wenhao Yu, Mengxia Yu, Tong Zhao, Meng Jiang:
Identifying Referential Intention with Heterogeneous Contexts. WWW 2020: 962-972 - [i25]Bo Ni, Zhichun Guo, Jianing Li, Meng Jiang:
Improving Generalizability of Fake News Detection Methods using Propensity Score Matching. CoRR abs/2002.00838 (2020) - [i24]Mandana Saebi, Steven J. Krieg, Chuxu Zhang, Meng Jiang, Nitesh V. Chawla:
Heterogeneous Relational Reasoning in Knowledge Graphs with Reinforcement Learning. CoRR abs/2003.06050 (2020) - [i23]Chenguang Zhu, William Hinthorn, Ruochen Xu, Qingkai Zeng, Michael Zeng, Xuedong Huang, Meng Jiang:
Boosting Factual Correctness of Abstractive Summarization with Knowledge Graph. CoRR abs/2003.08612 (2020) - [i22]Wenhao Yu, Lingfei Wu, Qingkai Zeng, Yu Deng, Shu Tao, Meng Jiang:
Crossing Variational Autoencoders for Answer Retrieval. CoRR abs/2005.02557 (2020) - [i21]Yang Zhou, Tong Zhao, Meng Jiang:
A Probabilistic Model with Commonsense Constraints for Pattern-based Temporal Fact Extraction. CoRR abs/2006.06436 (2020) - [i20]Daheng Wang, Meng Jiang, Munira Syed, Oliver Conway, Vishal Juneja, Sriram Subramanian, Nitesh V. Chawla:
Calendar Graph Neural Networks for Modeling Time Structures in Spatiotemporal User Behaviors. CoRR abs/2006.06820 (2020) - [i19]Tong Zhao, Yozen Liu, Leonardo Neves, Oliver J. Woodford, Meng Jiang, Neil Shah:
Data Augmentation for Graph Neural Networks. CoRR abs/2006.06830 (2020) - [i18]Tianwen Jiang, Tong Zhao, Bing Qin, Ting Liu, Nitesh V. Chawla, Meng Jiang:
Canonicalizing Open Knowledge Bases with Multi-Layered Meta-Graph Neural Network. CoRR abs/2006.09610 (2020) - [i17]Daheng Wang, Zhihan Zhang, Yihong Ma, Tong Zhao, Tianwen Jiang, Nitesh V. Chawla, Meng Jiang:
Learning Attribute-Structure Co-Evolutions in Dynamic Graphs. CoRR abs/2007.13004 (2020) - [i16]Meng Jiang, Taeho Jung, Ryan Karl, Tong Zhao:
Federated Dynamic GNN with Secure Aggregation. CoRR abs/2009.07351 (2020) - [i15]Xiangyu Dong, Wenhao Yu, Chenguang Zhu, Meng Jiang:
Injecting Entity Types into Entity-Guided Text Generation. CoRR abs/2009.13401 (2020) - [i14]Wenhao Yu, Chenguang Zhu, Zaitang Li, Zhiting Hu, Qingyun Wang, Heng Ji, Meng Jiang:
A Survey of Knowledge-Enhanced Text Generation. CoRR abs/2010.04389 (2020) - [i13]Wenhao Yu, Lingfei Wu, Yu Deng, Qingkai Zeng, Ruchi Mahindru, Sinem Guven, Meng Jiang:
Technical Question Answering across Tasks and Domains. CoRR abs/2010.09780 (2020) - [i12]Tong Zhao, Bo Ni, Wenhao Yu, Meng Jiang:
Early Anomaly Detection by Learning and Forecasting Behavior. CoRR abs/2010.10016 (2020)
2010 – 2019
- 2019
- [c37]Tianwen Jiang, Zhihan Zhang, Tong Zhao, Bing Qin, Ting Liu, Nitesh V. Chawla, Meng Jiang:
CTGA: Graph-based Biomedical Literature Search. BIBM 2019: 395-400 - [c36]Yifan Ding, Daheng Wang, Tim Weninger, Meng Jiang:
Preserving Composition and Crystal Structures of Chemical Compounds in Atomic Embedding. IEEE BigData 2019: 6037-6039 - [c35]Tianwen Jiang, Tong Zhao, Bing Qin, Ting Liu, Nitesh V. Chawla, Meng Jiang:
Multi-Input Multi-Output Sequence Labeling for Joint Extraction of Fact and Condition Tuples from Scientific Text. EMNLP/IJCNLP (1) 2019: 302-312 - [c34]Tianwen Jiang, Tong Zhao, Bing Qin, Ting Liu, Nitesh V. Chawla, Meng Jiang:
The Role of: A Novel Scientific Knowledge Graph Representation and Construction Model. KDD 2019: 1634-1642 - [c33]Daheng Wang, Tianwen Jiang, Nitesh V. Chawla, Meng Jiang:
TUBE: Embedding Behavior Outcomes for Predicting Success. KDD 2019: 1682-1690 - [c32]Tianchen Wang, Jinjun Xiong, Xiaowei Xu, Meng Jiang, Haiyun Yuan, Meiping Huang, Jian Zhuang, Yiyu Shi:
MSU-Net: Multiscale Statistical U-Net for Real-Time 3D Cardiac MRI Video Segmentation. MICCAI (2) 2019: 614-622 - [c31]Qingkai Zeng, Mengxia Yu, Wenhao Yu, Jinjun Xiong, Yiyu Shi, Meng Jiang:
Faceted Hierarchy: A New Graph Type to Organize Scientific Concepts and a Construction Method. TextGraphs@EMNLP 2019: 140-150 - [c30]Xueying Wang, Haiqiao Zhang, Qi Li, Yiyu Shi, Meng Jiang:
A Novel Unsupervised Approach for Precise Temporal Slot Filling from Incomplete and Noisy Temporal Contexts. WWW 2019: 3328-3334 - [c29]Wenhao Yu, Zongze Li, Qingkai Zeng, Meng Jiang:
Tablepedia: Automating PDF Table Reading in an Experimental Evidence Exploration and Analytic System. WWW 2019: 3615-3619 - [i11]Tianwen Jiang, Tong Zhao, Bing Qin, Ting Liu, Nitesh V. Chawla, Meng Jiang:
Constructing Information-Lossless Biological Knowledge Graphs from Conditional Statements. CoRR abs/1907.00720 (2019) - [i10]Tianchen Wang, Jinjun Xiong, Xiaowei Xu, Meng Jiang, Yiyu Shi, Haiyun Yuan, Meiping Huang, Jian Zhuang:
MSU-Net: Multiscale Statistical U-Net for Real-time 3D Cardiac MRI Video Segmentation. CoRR abs/1909.06726 (2019) - [i9]Huaxiu Yao, Chuxu Zhang, Ying Wei, Meng Jiang, Suhang Wang, Junzhou Huang, Nitesh V. Chawla, Zhenhui Li:
Graph Few-shot Learning via Knowledge Transfer. CoRR abs/1910.03053 (2019) - [i8]Chuxu Zhang, Huaxiu Yao, Chao Huang, Meng Jiang, Zhenhui Li, Nitesh V. Chawla:
Few-Shot Knowledge Graph Completion. CoRR abs/1911.11298 (2019) - 2018
- [j11]Kun Kuang, Meng Jiang, Peng Cui, Hengliang Luo, Shiqiang Yang:
Effective Promotional Strategies Selection in Social Media: A Data-Driven Approach. IEEE Trans. Big Data 4(4): 487-501 (2018) - [j10]Jingbo Shang, Meng Jiang, Wenzhu Tong, Jinfeng Xiao, Jian Peng, Jiawei Han:
DPPred: An Effective Prediction Framework with Concise Discriminative Patterns. IEEE Trans. Knowl. Data Eng. 30(7): 1226-1239 (2018) - [j9]Jingbo Shang, Jialu Liu, Meng Jiang, Xiang Ren, Clare R. Voss, Jiawei Han:
Automated Phrase Mining from Massive Text Corpora. IEEE Trans. Knowl. Data Eng. 30(10): 1825-1837 (2018) - [c28]Sendong Zhao, Meng Jiang, Ming Liu, Bing Qin, Ting Liu:
CausalTriad: Toward Pseudo Causal Relation Discovery and Hypotheses Generation from Medical Text Data. BCB 2018: 184-193 - [c27]Tong Zhao, Matthew Malir, Meng Jiang:
Actionable Objective Optimization for Suspicious Behavior Detection on Large Bipartite Graphs. IEEE BigData 2018: 1248-1257 - [c26]Yukun Ding, Jinglan Liu, Jinjun Xiong, Meng Jiang, Yiyu Shi:
Optimizing Boiler Control in Real-Time with Machine Learning for Sustainability. CIKM 2018: 2147-2154 - [c25]Fangbo Tao, Chao Zhang, Xiusi Chen, Meng Jiang, Tim Hanratty, Lance M. Kaplan, Jiawei Han:
Doc2Cube: Allocating Documents to Text Cube Without Labeled Data. ICDM 2018: 1260-1265 - [c24]Qi Li, Meng Jiang, Xikun Zhang, Meng Qu, Timothy P. Hanratty, Jing Gao, Jiawei Han:
TruePIE: Discovering Reliable Patterns in Pattern-Based Information Extraction. KDD 2018: 1675-1684 - [c23]Daheng Wang, Meng Jiang, Qingkai Zeng, Zachary Eberhart, Nitesh V. Chawla:
Multi-Type Itemset Embedding for Learning Behavior Success. KDD 2018: 2397-2406 - [c22]Chao Zhang, Fangbo Tao, Xiusi Chen, Jiaming Shen, Meng Jiang, Brian M. Sadler, Michelle Vanni, Jiawei Han:
TaxoGen: Unsupervised Topic Taxonomy Construction by Adaptive Term Embedding and Clustering. KDD 2018: 2701-2709