Tian Gao
Tian Gao
IBM Research
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Dag-gnn: Dag structure learning with graph neural networks
Y Yu, J Chen, T Gao, M Yu
ICML arXiv preprint arXiv:1904.10098, 2019
Efficient Markov Blanket Discovery and Its Application
T Gao, Q Ji
IEEE Transactions on Cybernetics, 2016
Generalized linear rule models
D Wei, S Dash, T Gao, O Günlük
ICML arXiv preprint arXiv:1906.01761, 2019
Local causal discovery of direct causes and effects
T Gao, Q Ji
Advances in Neural Information Processing Systems 28, 2015
Proximal graphical event models
D Bhattacharjya, D Subramanian, T Gao
Advances in Neural Information Processing Systems 31, 2018
Local-to-global Bayesian network structure learning
T Gao, K Fadnis, M Campbell
International Conference on Machine Learning, 1193-1202, 2017
Efficient score-based Markov Blanket discovery
T Gao, Q Ji
International Journal of Approximate Reasoning 80, 277-293, 2017
Multi-step entity-centric information retrieval for multi-hop question answering
R Das, A Godbole, D Kavarthapu, Z Gong, A Singhal, M Yu, X Guo, T Gao, ...
Proceedings of the 2nd Workshop on Machine Reading for Question Answering …, 2019
Do multi-hop readers dream of reasoning chains?
H Wang, M Yu, X Guo, R Das, W Xiong, T Gao
arXiv preprint arXiv:1910.14520, 2019
Nonlocal kernel network (NKN): a stable and resolution-independent deep neural network
H You, Y Yu, M D'Elia, T Gao, S Silling
Journal of Computational Physics 469, 111536, 2022
DAGs with No Fears: A Closer Look at Continuous Optimization for Learning Bayesian Networks
D Wei, T Gao, Y Yu
NeurIPS 20 arXiv preprint arXiv:2010.09133, 2020
Identifying the discourse function of news article paragraphs
WV Yarlott, C Cornelio, T Gao, M Finlayson
Proceedings of the Workshop Events and Stories in the News 2018, 25-33, 2018
DAGs with No Curl: An Efficient DAG Structure Learning Approach
Y Yu, T Gao, N Yin, Q Ji
ICML 21 arXiv preprint arXiv:2106.07197, 2021
Event-Driven Continuous Time Bayesian Networks
D Bhattacharjya, K Shanmugam, T Gao, N Mattei, KR Varshney, ...
AAAI, 2020
Parallel Bayesian network structure learning
T Gao, D Wei
International Conference on Machine Learning, 1685-1694, 2018
Type-augmented Relation Prediction in Knowledge Graphs
Z Cui, P Kapanipathi, K Talamadupula, T Gao, Q Ji
AAAI 21 arXiv preprint arXiv:2009.07938, 2020
Multi-step entity-centric information retrieval for multi-hop question answering
A Godbole, D Kavarthapu, R Das, Z Gong, A Singhal, H Zamani, M Yu, ...
arXiv preprint arXiv:1909.07598, 2019
Characterization of Overlap in Observational Studies
M Oberst, FD Johansson, D Wei, T Gao, G Brat, D Sontag, KR Varshney
Learning with Hidden Information Using a Max-Margin Latent Variable Model
Z Wang, T Gao, Q Ji
Proceedings of the 2014 22nd International Conference on Pattern Recognition …, 2014
Timeline summarization based on event graph compression via time-aware optimal transport
M Li, T Ma, M Yu, L Wu, T Gao, H Ji, K McKeown
Proceedings of the 2021 Conference on Empirical Methods in Natural Language …, 2021
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