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Jian Li
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Network embedding as matrix factorization: Unifying deepwalk, line, pte, and node2vec
J Qiu, Y Dong, H Ma, J Li, K Wang, J Tang
Proceedings of the eleventh ACM international conference on web search and …, 2018
9962018
Brits: Bidirectional recurrent imputation for time series
W Cao, D Wang, J Li, H Zhou, L Li, Y Li
NeurIPS 2018, 2018
5692018
When will you arrive? estimating travel time based on deep neural networks
D Wang, J Zhang, W Cao, J Li, Y Zheng
Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018
3592018
Gradient descent maximizes the margin of homogeneous neural networks
K Lyu, J Li
ICLR 2020, 2019
2832019
A unified approach to ranking in probabilistic databases
J Li, B Saha, A Deshpande
The VLDB Journal 20, 249-275, 2011
2502011
DeepSD: Supply-demand prediction for online car-hailing services using deep neural networks
D Wang, W Cao, J Li, J Ye
2017 IEEE 33rd international conference on data engineering (ICDE), 243-254, 2017
2162017
Netsmf: Large-scale network embedding as sparse matrix factorization
J Qiu, Y Dong, H Ma, J Li, C Wang, K Wang, J Tang
The World Wide Web Conference, 1509-1520, 2019
1892019
Combinatorial multi-armed bandit with general reward functions
W Chen, W Hu, F Li, J Li, Y Liu, P Lu
Advances in Neural Information Processing Systems 29, 2016
1352016
When LP is the cure for your matching woes: Improved bounds for stochastic matchings
N Bansal, A Gupta, J Li, J Mestre, V Nagarajan, A Rudra
Algorithmica 63, 733-762, 2012
1202012
Optimal PAC multiple arm identification with applications to crowdsourcing
Y Zhou, X Chen, J Li
International Conference on Machine Learning, 217-225, 2014
1132014
Data generation using declarative constraints
A Arasu, R Kaushik, J Li
Proceedings of the 2011 ACM SIGMOD International Conference on Management of …, 2011
1092011
A simple proximal stochastic gradient method for nonsmooth nonconvex optimization
Z Li, J Li
NeurIPS 2018, 2018
1082018
Learning gradient descent: Better generalization and longer horizons
K Lv, S Jiang, J Li
International Conference on Machine Learning, 2247-2255, 2017
1082017
Cost-effective crowdsourced entity resolution: A partial-order approach
C Chai, G Li, J Li, D Deng, J Feng
Proceedings of the 2016 International Conference on Management of Data, 969-984, 2016
1062016
Sensitivity analysis and explanations for robust query evaluation in probabilistic databases
B Kanagal, J Li, A Deshpande
Proceedings of the 2011 ACM SIGMOD International Conference on Management of …, 2011
932011
Algorithms on Minimizing the Maximum Sensor Movement for Barrier Coverage of a Linear Domain
D Chen, Y Gu, J Li, H Wang
Discrete & Computational Geometry, 2013, 177-188, 2012
892012
Lrspeech: Extremely low-resource speech synthesis and recognition
J Xu, X Tan, Y Ren, T Qin, J Li, S Zhao, TY Liu
Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020
802020
CDB: optimizing queries with crowd-based selections and joins
G Li, C Chai, J Fan, X Weng, J Li, Y Zheng, Y Li, X Yu, X Zhang, H Yuan
Proceedings of the 2017 ACM International Conference on Management of Data …, 2017
772017
On generalization error bounds of noisy gradient methods for non-convex learning
J Li, X Luo, M Qiao
ICLR 2020, 2019
752019
Epsilon-coresets for clustering (with outliers) in doubling metrics
L Huang, SHC Jiang, J Li, X Wu
2018 IEEE 59th Annual Symposium on Foundations of Computer Science (FOCS …, 2018
742018
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Articles 1–20