| Word embedding based correlation model for question/answer matching Y Shen, W Rong, N Jiang, B Peng, J Tang, Z Xiong Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017 | 60 | 2017 |
| Citation regression analysis of computer science publications in different ranking categories and subfields Y Qian, W Rong, N Jiang, J Tang, Z Xiong Scientometrics 110, 1351-1374, 2017 | 42 | 2017 |
| An empirical analysis of different sparse penalties for autoencoder in unsupervised feature learning N Jiang, W Rong, B Peng, Y Nie, Z Xiong 2015 international joint conference on neural networks (IJCNN), 1-8, 2015 | 35 | 2015 |
| Constraint Satisfaction Driven Natural Language Generation: A Tree Search Embedded MCMC Approach M Zhang, N Jiang, L Li, Y Xue Proceedings of the Conference on Empirical Methods in Natural Language …, 2020 | 21* | 2020 |
| LSDSCC: a large scale domain-specific conversational corpus for response generation with diversity oriented evaluation metrics Z Xu, N Jiang, B Liu, W Rong, B Wu, B Wang, Z Wang, X Wang Proceedings of the 2018 Conference of the North American Chapter of the …, 2018 | 17 | 2018 |
| Why Do Neural Response Generation Models Prefer Universal Replies? B Wu, N Jiang, Z Gao, M Li, Z Wang, S Li, Q Feng, W Rong, B Wang arXiv preprint arXiv:1808.09187, 2018 | 10 | 2018 |
| Symbolic regression via control variable genetic programming N Jiang, Y Xue Joint European Conference on Machine Learning and Knowledge Discovery in …, 2023 | 9 | 2023 |
| Constraint reasoning embedded structured prediction N Jiang, M Zhang, WJ Van Hoeve, Y Xue Journal of machine learning research 23 (345), 1-40, 2022 | 7 | 2022 |
| Exploration of Tree-based Hierarchical Softmax for Recurrent Language Models. N Jiang, W Rong, M Gao, Y Shen, Z Xiong, N Jiang, W Rong, M Gao, ... IJCAI, 1951-1957, 2017 | 6 | 2017 |
| Massive text normalization via an efficient randomized algorithm N Jiang, C Luo, V Lakshman, Y Dattatreya, Y Xue Proceedings of the ACM Web Conference 2022, 2946-2956, 2022 | 5* | 2022 |
| Biological event trigger identification with noise contrastive estimation N Jiang, W Rong, Y Nie, Y Shen, Z Xiong IEEE/ACM Transactions on Computational Biology and Bioinformatics 15 (5 …, 2017 | 5 | 2017 |
| Task detection in continual learning via familiarity autoencoders MJ Jacobson, CQ Wright, N Jiang, G Rodriguez-Rivera, Y Xue 2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 1-8, 2022 | 2 | 2022 |
| A dual channel class hierarchy based recurrent language modeling L Shi, W Rong, S Zhou, N Jiang, Z Xiong Neurocomputing 418, 291-299, 2020 | 2 | 2020 |
| Modeling Joint Representation with Tri-Modal Deep Belief Networks for Query and Question Matching N Jiang, W Rong, B Peng, Y Nie, Z Xiong IEICE TRANSACTIONS on Information and Systems 99 (4), 927-935, 2016 | 2 | 2016 |
| Solving Satisfiability Modulo Counting for Symbolic and Statistical AI Integration with Provable Guarantees J Li, N Jiang, Y Xue Proceedings of the AAAI Conference on Artificial Intelligence 38 (18), 20481 …, 2024 | 1 | 2024 |
| Vertical Symbolic Regression N Jiang, M Nasim, Y Xue arXiv preprint arXiv:2312.11955, 2023 | 1 | 2023 |
| Active Symbolic Discovery of Ordinary Differential Equations via Phase Portrait Sketching N Jiang, M Nasim, Y Xue arXiv preprint arXiv:2409.01416, 2024 | | 2024 |
| A Tighter Convergence Proof of Reverse Experience Replay N Jiang, J Li, Y Xue arXiv preprint arXiv:2408.16999, 2024 | | 2024 |
| Racing Control Variable Genetic Programming for Symbolic Regression N Jiang, Y Xue Proceedings of the AAAI Conference on Artificial Intelligence 38 (11), 12901 …, 2024 | | 2024 |
| Vertical Symbolic Regression via Deep Policy Gradient N Jiang, M Nasim, Y Xue arXiv preprint arXiv:2402.00254, 2024 | | 2024 |
Yexiang XueAssistant Professor, Purdue University在 purdue.edu 的电子邮件经过验证
