| Deep sentence embedding using long short-term memory networks: Analysis and application to information retrieval H Palangi, L Deng, Y Shen, J Gao, X He, J Chen, X Song, R Ward IEEE/ACM Transactions on Audio, Speech, and Language Processing 24 (4), 694-707, 2016 | 1144* | 2016 |
| Diffusion adaptation strategies for distributed optimization and learning over networks J Chen, AH Sayed IEEE Transactions on Signal Processing 60 (8), 4289-4305, 2012 | 719 | 2012 |
| CherryPick: Adaptively Unearthing the Best Cloud Configurations for Big Data Analytics O Alipourfard, HH Liu, J Chen, S Venkataraman, M Yu, M Zhang 14th USENIX Symposium on Networked Systems Design and Implementation (NSDI …, 2017 | 619 | 2017 |
| Diffusion strategies for adaptation and learning over networks: an examination of distributed strategies and network behavior AH Sayed, SY Tu, J Chen, X Zhao, ZJ Towfic IEEE Signal Processing Magazine 30 (3), 155-171, 2013 | 515 | 2013 |
| TabFact: A Large-scale Dataset for Table-based Fact Verification W Chen, H Wang, J Chen, Y Zhang, H Wang, S Li, X Zhou, WY Wang Proc. International Conference of Learning Representations (ICLR) [arXiv …, 2020 | 406 | 2020 |
| SBEED: Convergent reinforcement learning with nonlinear function approximation B Dai, A Shaw, L Li, L Xiao, N He, Z Liu, J Chen, L Song Proc. International Conference on Machine Learning (ICML), 1133-1142, 2018 | 314 | 2018 |
| DREAM: A challenge data set and models for dialogue-based reading comprehension K Sun, D Yu, J Chen, D Yu, Y Choi, C Cardie Transactions of the Association for Computational Linguistics 7, 217-231, 2019 | 311 | 2019 |
| Deep Reinforcement Learning with a Natural Language Action Space J He, J Chen, X He, J Gao, L Li, L Deng, M Ostendorf Proc. Association for Computational Linguistics (ACL), 2016 | 292* | 2016 |
| Stochastic Variance Reduction Methods for Policy Evaluation SS Du, J Chen, L Li, L Xiao, D Zhou Proc. 34th International Conference on Machine Learning (ICML), 2017 | 203 | 2017 |
| Distributed Pareto Optimization via Diffusion Strategies J Chen, AH Sayed IEEE Journal of Selected Topics in Signal Processing 7 (2), 205-220, 2013 | 196 | 2013 |
| M-Walk: Learning to Walk over Graphs using Monte Carlo Tree Search Y Shen*, J Chen*, PS Huang*, Y Guo, J Gao, (*=equal contribution) Proc. Advances in Neural Information Processing Systems, 6785-6796, 2018 | 181 | 2018 |
| Logical natural language generation from open-domain tables W Chen, J Chen, Y Su, Z Chen, WY Wang Proc. Association for Computational Linguistics (ACL), 2020 | 150 | 2020 |
| Semantically Conditioned Dialog Response Generation via Hierarchical Disentangled Self-Attention W Chen, J Chen, P Qin, X Yan, WY Wang Proc. Association for Computational Linguistics (ACL), 2019 | 150 | 2019 |
| On the Learning Behavior of Adaptive Networks-Part I: Transient Analysis J Chen, AH Sayed IEEE Transactions on Information Theory 61 (6), 3487--3517, 2015 | 144 | 2015 |
| Comprehensive image captioning via scene graph decomposition Y Zhong, L Wang, J Chen, D Yu, Y Li Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 133 | 2020 |
| Distributed Policy Evaluation Under Multiple Behavior Strategies S Valcarcel Macua, J Chen, S Zazo, AH Sayed IEEE Transactions on Automatic Control 60 (5), 2015 | 118* | 2015 |
| Dictionary learning over distributed models J Chen, ZJ Towfic, AH Sayed IEEE Transactions on Signal Processing 63 (4), 1001--1016, 2015 | 116 | 2015 |
| Explanations from large language models make small reasoners better S Li, J Chen, Y Shen, Z Chen, X Zhang, Z Li, H Wang, J Qian, B Peng, ... arXiv preprint arXiv:2210.06726, 2022 | 101 | 2022 |
| On the Learning Behavior of Adaptive Networks-Part II: Performance Analysis J Chen, AH Sayed IEEE Transactions on Information Theory 61 (6), 3518--3548, 2015 | 94 | 2015 |
| Recurrent reinforcement learning: a hybrid approach X Li, L Li, J Gao, X He, J Chen, L Deng, J He arXiv preprint arXiv:1509.03044, 2015 | 90 | 2015 |
Li DengChief AI Officer, Citadel (former)Verified email at ieee.org
