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2020 – today
- 2024
[i1]Luchang Li, Sheng Qian, Jie Lu, Lunxi Yuan, Rui Wang, Qin Xie:
Transformer-Lite: High-efficiency Deployment of Large Language Models on Mobile Phone GPUs. CoRR abs/2403.20041 (2024)- 2023
- [c13]Xinyu Liu, Tiancheng Sun, Diantian Fu, Zijue Li, Sheng Qian, Ruyue Meng, Mayank Kejriwal:
Automatic Semantic Typing of Pet E-commerce Products Using Crowdsourced Reviews: An Experimental Study. KGSWC 2023: 151-167 - 2022
- [j7]Guanyue Li, Xiwen Wei, Si Wu
, Zhiwen Yu, Sheng Qian, Hau-San Wong:
Adversarial Adaptive Interpolation in Autoencoders for Dually Regularizing Representation Learning. IEEE Multim. 29(3): 57-68 (2022) - [j6]Boqiao Lai, Sheng Qian, Hanwei Zhang, Siwei Zhang, Anna A. Kozlova, Jubao Duan, Jinbo Xu, Xin He:
Annotating functional effects of non-coding variants in neuropsychiatric cell types by deep transfer learning. PLoS Comput. Biol. 18(5) (2022) - 2021
- [c12]Guanyue Li, Qianfen Jiao, Sheng Qian, Si Wu, Hau-San Wong:
High Fidelity GAN Inversion via Prior Multi-Subspace Feature Composition. AAAI 2021: 8366-8374 - [c11]Guanyue Li, Xiwen Wei, Sheng Qian, Si Wu, Zhiwen Yu, Hau-San Wong:
Adversarial Adaptive Interpolation for Regularizing Representation Learning and Image Synthesis in Autoencoders. ICME 2021: 1-6
2010 – 2019
- 2019
- [j5]Yan Keung Hui, Chen Li, Sheng Qian, Lam For Kwok:
Learning engagement via promoting situational interest in a blended learning environment. J. Comput. High. Educ. 31(2): 408-425 (2019) - [j4]Sheng Qian, Siqi Liang, Haiyuan Yu:
Leveraging genetic interactions for adverse drug-drug interaction prediction. PLoS Comput. Biol. 15(5) (2019) - [j3]Wenming Cao, Sheng Qian, Si Wu, Hau-San Wong:
Unsupervised Multi-task Learning with Hierarchical Data Structure. Pattern Recognit. 86: 248-264 (2019) - [j2]Cheng Liu, Chutao Zheng, Sheng Qian, Si Wu, Hau-San Wong:
Encoding sparse and competitive structures among tasks in multi-task learning. Pattern Recognit. 88: 689-701 (2019) - [c10]Sheng Qian, Guanyue Li, Wen-Ming Cao, Cheng Liu, Si Wu, Hau-San Wong:
Improving representation learning in autoencoders via multidimensional interpolation and dual regularizations. IJCAI 2019: 3268-3274 - 2018
- [j1]Sheng Qian, Hua Liu, Cheng Liu, Si Wu, Hau-San Wong:
Adaptive activation functions in convolutional neural networks. Neurocomputing 272: 204-212 (2018) - [c9]Yan Keung Hui, Chen Li, Sheng Qian, Lam-for Kwok:
Cultivating Situational Interest in Blended Learning Environment. ICBL 2018: 81-92 - [c8]Wen-ming Cao, Rui Li, Sheng Qian, Si Wu, Hau-San Wong:
Efficient Direct Structured Subspace Clustering. ICONIP (4) 2018: 181-190 - [c7]Rui Li, Wen-ming Cao, Sheng Qian, Hau-San Wong, Si Wu:
Cross-domain Semantic Feature Learning via Adversarial Adaptation Networks. ICPR 2018: 37-42 - [c6]Sheng Qian, Wen-ming Cao, Rui Li, Si Wu, Hau-San Wong:
Self-supervised GAN for Image Generation by Correlating Image Channels. PCM (2) 2018: 78-88 - [c5]Sheng Qian, Wen-ming Cao, Rui Li, Si Wu, Hau-San Wong:
Coupled Learning for Image Generation and Latent Representation Inference Using MMD. PCM (2) 2018: 430-440 - 2017
- [c4]Yan Keung Hui, Bo Mai, Sheng Qian, Lam For Kwok:
A Review of Learning Behaviors in Using E-Schoolbag: Enhancing Academic Performance in Primary Chinese. ICBL 2017: 41-52 - [c3]Chutao Zheng, Sheng Qian, Wen-Ming Cao, Hau-San Wong:
Locality-Sensitive Term Weighting for Short Text Clustering. ICONIP (1) 2017: 434-444 - 2016
- [c2]Dario Amodei, Sundaram Ananthanarayanan, Rishita Anubhai, Jingliang Bai, Eric Battenberg, Carl Case, Jared Casper, Bryan Catanzaro, Jingdong Chen, Mike Chrzanowski, Adam Coates, Greg Diamos, Erich Elsen, Jesse H. Engel, Linxi Fan, Christopher Fougner, Awni Y. Hannun, Billy Jun, Tony Han, Patrick LeGresley, Xiangang Li, Libby Lin, Sharan Narang, Andrew Y. Ng, Sherjil Ozair, Ryan Prenger, Sheng Qian, Jonathan Raiman, Sanjeev Satheesh, David Seetapun, Shubho Sengupta, Chong Wang, Yi Wang, Zhiqian Wang, Bo Xiao, Yan Xie, Dani Yogatama, Jun Zhan, Zhenyao Zhu:
Deep Speech 2 : End-to-End Speech Recognition in English and Mandarin. ICML 2016: 173-182 - 2015
- [c1]Pengjing Zhang, Xiaoqing Zheng, Wenqiang Zhang, Siyan Li, Sheng Qian, Wenqi He, Shangtong Zhang, Ziyuan Wang:
A Deep Neural Network for Modeling Music. ICMR 2015: 379-386
Coauthor Index
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last updated on 2024-08-08 19:12 CEST by the dblp team
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