| Variational Autoencoder for Deep Learning of Images, Labels and Captions Y Pu, Z Gan, R Henao, X Yuan, C Li, A Stevens, L Carin Neural Information Processing Systems (NIPS), 2016 | 460 | 2016 |
| Baseline Needs More Love: On Simple Word-Embedding-Based Models and Associated Pooling Mechanisms D Shen, G Wang, W Wang, MR Min, Q Su, Y Zhang, C Li, R Henao, ... Annual Meeting of the Association for Computational Linguistics (ACL), 2018 | 182 | 2018 |
| Preconditioned Stochastic Gradient Langevin Dynamics for Deep Neural Networks C Li, C Chen, D Carlson, L Carin AAAI Conference on Artificial Intelligence, 2016 | 175 | 2016 |
| ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching C Li, H Liu, C Chen, Y Pu, L Chen, R Henao, L Carin Neural Information Processing Systems (NIPS), 2017 | 159 | 2017 |
| Joint Embedding of Words and Labels for Text Classification G Wang, C Li, W Wang, Y Zhang, D Shen, X Zhang, R Henao, L Carin Annual Meeting of the Association for Computational Linguistics (ACL), 2018 | 154 | 2018 |
| SHREC’15 Track: Non-rigid 3D Shape Retrieval Z Lian, J Zhang, S Choi, H ElNaghy, J El-Sana, T Furuya, A Giachetti, ... Eurographics Workshop on 3D Object Retrieval, 2015 | 152* | 2015 |
| A comparison of 3D shape retrieval methods based on a large-scale benchmark supporting multimodal queries B Li, Y Lu, C Li, A Godil, T Schreck, M Aono, M Burtscher, Q Chen, ... Computer Vision and Image Understanding (CVIU) 131, 1-27, 2015 | 123 | 2015 |
| Shape retrieval of non-rigid 3D human models D Pickup, X Sun, PL Rosin, RR Martin, Z Cheng, Z Lian, M Aono, ... International Journal of Computer Vision (IJCV), 2016 | 117 | 2016 |
| A multiresolution descriptor for deformable 3D shape retrieval C Li, AB Hamza The Visual Computer 29 (6-8), 513-524, 2013 | 108 | 2013 |
| Measuring the Intrinsic Dimension of Objective Landscapes C Li, H Farkhoor, R Liu, J Yosinski International Conference on Learning Representations (ICLR), 2018 | 104 | 2018 |
| Learning Generic Sentence Representations Using Convolutional Neural Networks Z Gan, Y Pu, R Henao, C Li, X He, L Carin Empirical Methods on Natural Language Processing (EMNLP), 2017 | 104* | 2017 |
| Triangle Generative Adversarial Networks Z Gan, L Chen, W Wang, Y Pu, Y Zhang, H Liu, C Li, L Carin Neural Information Processing Systems (NIPS), 2017 | 100 | 2017 |
| Persistence-based structural recognition C Li, M Ovsjanikov, F Chazal Computer Vision and Pattern Recognition (CVPR), 2014, 2003-2010, 2014 | 98 | 2014 |
| Minimum near-convex decomposition for robust shape representation Z Ren, J Yuan, C Li, W Liu International Conference on Computer Vision (ICCV), 303-310, 2011 | 94 | 2011 |
| SHREC’14 Track: Extended Large Scale Sketch-Based 3D Shape Retrieval B Li, Y Lu, C Li, A Godil, T Schreck, M Aono, M Burtscher, H Fu, T Furuya, ... Eurographics Workshop on 3D Object Retrieval 2014 (3DOR 2014), 121-130, 2014 | 91 | 2014 |
| Cyclical Annealing Schedule: A Simple Approach to Mitigating KL Vanishing H Fu, C Li, X Liu, J Gao, A Celikyilmaz, L Carin NAACL, 2019 | 77 | 2019 |
| Deep temporal sigmoid belief networks for sequence modeling Z Gan, C Li, R Henao, D Carlson, L Carin Neural Information Processing Systems (NIPS), 2467-2475, 2015 | 77 | 2015 |
| Spatially aggregating spectral descriptors for nonrigid 3D shape retrieval: a comparative survey C Li, AB Hamza Multimedia Systems 20 (3), 253-281, 2014 | 64 | 2014 |
| Adversarial Symmetric Variational Autoencoder Y Pu, W Wang, R Henao, L Chen, Z Gan, C Li, L Carin Neural Information Processing Systems (NIPS), 2017 | 63 | 2017 |
| Bridging the Gap between Stochastic Gradient MCMC and Stochastic Optimization C Chen, D Carlson, Z Gan, C Li, L Carin AISTATS, 2016 | 59 | 2016 |
Lawrence CarinProfessor of Electrical and Computer Engineering, Duke UniversityAdresse e-mail validée de ece.duke.edu
