Jian Li
Cited by
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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
Brits: Bidirectional recurrent imputation for time series
W Cao, D Wang, J Li, H Zhou, L Li, Y Li
NeurIPS 2018, 2018
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
A unified approach to ranking in probabilistic databases
J Li, B Saha, A Deshpande
The VLDB Journal 20, 249-275, 2011
Gradient descent maximizes the margin of homogeneous neural networks
K Lyu, J Li
ICLR 2020, 2019
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
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
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
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
Data generation using declarative constraints
A Arasu, R Kaushik, J Li
Proceedings of the 2011 ACM SIGMOD International Conference on Management of …, 2011
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
Optimal PAC multiple arm identification with applications to crowdsourcing
Y Zhou, X Chen, J Li
International Conference on Machine Learning, 217-225, 2014
Learning gradient descent: Better generalization and longer horizons
K Lv, S Jiang, J Li
International Conference on Machine Learning, 2247-2255, 2017
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
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
A simple proximal stochastic gradient method for nonsmooth nonconvex optimization
Z Li, J Li
NeurIPS 2018, 2018
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
Energy efficient scheduling via partial shutdown
S Khuller, J Li, B Saha
Proceedings of the twenty-first annual ACM-SIAM symposium on Discrete …, 2010
Scalable column concept determination for web tables using large knowledge bases
D Deng, Y Jiang, G Li, J Li, C Yu
Proceedings of the VLDB Endowment 6 (13), 1606-1617, 2013
Consensus answers for queries over probabilistic databases
J Li, A Deshpande
Proceedings of the twenty-eighth ACM SIGMOD-SIGACT-SIGART symposium on …, 2009
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Articles 1–20