Hanjun Dai
TitoloCitata daAnno
Discriminative embeddings of latent variable models for structured data
H Dai, B Dai, L Song
International Conference on Machine Learning, 2702-2711, 2016
1942016
Recurrent Marked Temporal Point Processes: Embedding Event History to Vector
N Du, H Dai, R Trivedi, U Upadhyay, M Gomez-Rodriguez, L Song
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge …, 2016
1812016
Sequential click prediction for sponsored search with recurrent neural networks
Y Zhang, H Dai, C Xu, J Feng, T Wang, J Bian, B Wang, TY Liu
Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014
1712014
Learning Combinatorial Optimization Algorithms over Graphs
H Dai, EB Khalil, Y Zhang, B Dilkina, L Song
arXiv preprint arXiv:1704.01665, 2017
1652017
A probabilistic model for learning multi-prototype word embeddings
F Tian, H Dai, J Bian, B Gao, R Zhang, E Chen, TY Liu
Proceedings of COLING 2014, the 25th International Conference on …, 2014
1082014
Syntax-Directed Variational Autoencoder for Structured Data
H Dai, Y Tian, B Dai, S Skiena, L Song
arXiv preprint arXiv:1802.08786, 2018
652018
Know-Evolve: Deep Temporal Reasoning for Dynamic Knowledge Graphs
R Trivedi, H Dai, Y Wang, L Song
International Conference on Machine Learning, 3462-3471, 2017
602017
Adversarial Attack on Graph Structured Data
H Dai, H Li, T Tian, X Huang, L Wang, J Zhu, L Song
arXiv preprint arXiv:1806.02371, 2018
592018
Deep Coevolutionary Network: Embedding User and Item Features for Recommendation
H Dai, Y Wang, R Trivedi, L Song
46*2017
Provable Bayesian inference via particle mirror descent
B Dai, N He, H Dai, L Song
Artificial Intelligence and Statistics, 985-994, 2016
42*2016
Variational reasoning for question answering with knowledge graph
Y Zhang, H Dai, Z Kozareva, AJ Smola, L Song
Thirty-Second AAAI Conference on Artificial Intelligence, 2018
392018
Material structure-property linkages using three-dimensional convolutional neural networks
A Cecen, H Dai, YC Yabansu, SR Kalidindi, L Song
Acta Materialia 146, 76-84, 2018
372018
M-Statistic for Kernel Change-Point Detection
S Li, Y Xie, H Dai, L Song
Advances in Neural Information Processing Systems, 3348-3356, 2015
312015
Learning Steady-States of Iterative Algorithms over Graphs
H Dai, Z Kozareva, B Dai, A Smola, L Song
International Conference on Machine Learning, 1114-1122, 2018
182018
Knet: A general framework for learning word embedding using morphological knowledge
Q Cui, B Gao, J Bian, S Qiu, H Dai, TY Liu
ACM Transactions on Information Systems (TOIS) 34 (1), 4, 2015
172015
Recurrent Hidden Semi-Markov Model
H Dai, B Dai, YM Zhang, S Li, L Song
162016
Sequence2Vec: A novel embedding approach for modeling transcription factor binding affinity landscape
H Dai, R Umarov, H Kuwahara, Y Li, L Song, X Gao
Bioinformatics, btx480, 2017
152017
Learning loop invariants for program verification
X Si, H Dai, M Raghothaman, M Naik, L Song
Advances in Neural Information Processing Systems, 7751-7762, 2018
142018
KG^ 2: Learning to Reason Science Exam Questions with Contextual Knowledge Graph Embeddings
Y Zhang, H Dai, K Toraman, L Song
arXiv preprint arXiv:1805.12393, 2018
92018
CompILE: Compositional Imitation Learning and Execution
T Kipf, Y Li, H Dai, V Zambaldi, A Sanchez-Gonzalez, E Grefenstette, ...
International Conference on Machine Learning, 3418-3428, 2019
6*2019
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
Articoli 1–20