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Junling Hu
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2020 – today
- 2024
- [i2]Junling Hu:
Ensemble Model With Bert, Roberta and Xlnet For Molecular property prediction. CoRR abs/2406.06553 (2024) - 2023
- [j7]Huanlin Liu
, Chang Tang, Yong Chen, Mingming Tang, Yan Qiu, Haonan Chen, Junling Hu:
A survivable multipath resource allocation strategy based on fragmentation-sensitive fragmentation-aware in space division multiplexing elastic optical networks. Comput. Commun. 204: 78-88 (2023) - 2022
- [j6]Huanlin Liu, Jie Ren, Yong Chen, Junling Hu, Chang Tang, Mingming Tang:
Spectrum slicing-based fragmentation aware routing and spectrum allocation in elastic optical networks. Opt. Switch. Netw. 45: 100673 (2022)
2010 – 2019
- 2019
- [i1]Mohit Sharma, Jiayu Zhou, Junling Hu, George Karypis:
Feature-based factorized Bilinear Similarity Model for Cold-Start Top-n Item Recommendation. CoRR abs/1904.11799 (2019) - 2015
- [j5]Faris Alqadah, Chandan K. Reddy
Biclustering neighborhood-based collaborative filtering method for top-n recommender systems. Knowl. Inf. Syst. 44(2): 475-491 (2015) - [c10]Shiyu Chang, Jiayu Zhou, Pirooz Chubak, Junling Hu, Thomas S. Huang:
A Space Alignment Method for Cold-Start TV Show Recommendations. IJCAI 2015: 3373-3379 - [c9]Mohit Sharma, Jiayu Zhou, Junling Hu, George Karypis
Feature-based factorized Bilinear Similarity Model for Cold-Start Top-n Item Recommendation. SDM 2015: 190-198 - 2014
- [c8]Thomas Phan, Jiayu Zhou, Shiyu Chang, Junling Hu, Juhan Lee:
Collaborative Recommendation of Photo-Taking Geolocations. GeoMM 2014: 11-16 - 2011
- [c7]Duangmanee Putthividhya, Junling Hu:
Bootstrapped Named Entity Recognition for Product Attribute Extraction. EMNLP 2011: 1557-1567 - 2010
- [c6]Aditya Khosla, Yu Cao, Cliff Chiung-Yu Lin, Hsu-Kuang Chiu, Junling Hu, Honglak Lee:
An integrated machine learning approach to stroke prediction. KDD 2010: 183-192
2000 – 2009
- 2007
- [c5]Junling Hu, Fabrizio Morbini, Fuliang Weng, Xue Liu:
Dynamic n-best Selection and Its Application in Dialog Act Detection. SIGdial 2007: 59-62 - 2003
- [j4]Junling Hu, Michael P. Wellman:
Nash Q-Learning for General-Sum Stochastic Games. J. Mach. Learn. Res. 4: 1039-1069 (2003) - 2001
- [j3]Junling Hu, Michael P. Wellman:
Learning about other agents in a dynamic multiagent system. Cogn. Syst. Res. 2(1): 67-79 (2001) - [j2]Junling Hu, Michael P. Wellman:
Erratum to "Learning about other agents in a dynamic multiagent system": [Cognitive Systems Research 2 (2001) 67-79]⋆. Cogn. Syst. Res. 2(3): 233 (2001) - 2000
- [c4]Junling Hu, Michael P. Wellman:
Experimental Results on Q-Learning for General-Sum Stochastic Games. ICML 2000: 407-414
1990 – 1999
- 1999
- [b1]Junling Hu:
Learning in dynamic noncooperative multiagent systems. University of Michigan, USA, 1999 - 1998
- [j1]Michael P. Wellman, Junling Hu:
Conjectural Equilibrium in Multiagent Learning. Mach. Learn. 33(2-3): 179-200 (1998) - [c3]Junling Hu:
Learning in Markov Games with Incomplete Information. AAAI/IAAI 1998: 1176 - [c2]Junling Hu, Michael P. Wellman:
Online Learning about Other Agents in a Dynamic Multiagent System. Agents 1998: 239-246 - [c1]Junling Hu, Michael P. Wellman:
Multiagent Reinforcement Learning: Theoretical Framework and an Algorithm. ICML 1998: 242-250
Coauthor Index
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