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2020 – today
- 2024
[i5]Muyang Du, Chuan Liu, Junjie Lai:
Incremental FastPitch: Chunk-based High Quality Text to Speech. CoRR abs/2401.01755 (2024)- [i4]Wen Ding, Fei Jia, Hainan Xu, Yu Xi, Junjie Lai, Boris Ginsburg:
Romanization Encoding For Multilingual ASR. CoRR abs/2407.04368 (2024) - 2023
- [j2]Ziyu Lyu
, Yue Wu, Junjie Lai, Min Yang, Chengming Li, Wei Zhou:
Knowledge Enhanced Graph Neural Networks for Explainable Recommendation. IEEE Trans. Knowl. Data Eng. 35(5): 4954-4968 (2023) - [c12]Muyang Du, Chuan Liu, Jiaxing Qi, Junjie Lai:
Efficient Incremental Text-to-Speech on GPUs. APSIPA ASC 2023: 1422-1428 - [c11]Yu Chen, Wen Ding, Junjie Lai:
Improving Noisy Student Training on Non-Target Domain Data for Automatic Speech Recognition. ICASSP 2023: 1-5 - [c10]Zhe Zhang, Yukun Zou, Junjie Lai, Qing Xu:
M2DQN: A Robust Method for Accelerating Deep Q-learning Network. ICMLC 2023: 116-120 - [c9]Muyang Du, Chuan Liu, Jiaxing Qi, Junjie Lai:
Improving WaveRNN with Heuristic Dynamic Blending for Fast and High-Quality GPU Vocoding. INTERSPEECH 2023: 4344-4348 - 2022
- [c8]Chang Liu, Junjie Lai:
Pattern Matters: Hierarchical Correlated Strip Convolutional Network for Scene Text Recognition. ICME 2022: 1-6 - [c7]Chang Liu, Rui Zhang, Junjie Lai:
Connect to the Past: Graph-Based Latent Estimation for Blind Super-Resolution. ICME 2022: 1-6 - [c6]Dongxu Yang, Junhong Liu, Jiaxing Qi, Junjie Lai:
WholeGraph: A Fast Graph Neural Network Training Framework with Multi-GPU Distributed Shared Memory Architecture. SC 2022: 54:1-54:14 - [i3]Zhe Zhang, Yukun Zou, Junjie Lai, Qing Xu:
M2DQN: A Robust Method for Accelerating Deep Q-learning Network. CoRR abs/2209.07809 (2022) - [i2]Yu Chen, Wen Ding, Junjie Lai:
Improving Noisy Student Training on Non-target Domain Data for Automatic Speech Recognition. CoRR abs/2211.04717 (2022) - [i1]Muyang Du, Chuan Liu, Jiaxing Qi, Junjie Lai:
Efficient Incremental Text-to-Speech on GPUs. CoRR abs/2211.13939 (2022) - 2021
- [j1]Dongxu Yang, Junhong Liu, Junjie Lai:
EDGES: An Efficient Distributed Graph Embedding System on GPU Clusters. IEEE Trans. Parallel Distributed Syst. 32(7): 1892-1902 (2021) - [c5]Junhong Liu, Dongxu Yang, Junjie Lai:
Optimizing Winograd-Based Convolution with Tensor Cores. ICPP 2021: 84:1-84:10
2010 – 2019
- 2017
- [c4]Junjie Lai, Yun Zhao, Yanjian Liao, Wensheng Hou, Ying Chen, Yao Zhang, Guanglin Li, Xiaoying Wu:
Design of a multi-degree-of-freedom virtual hand bench for myoelectrical prosthesis. ICARM 2017: 345-350 - 2013
- [b1]Junjie Lai:
Throughput-oriented analytical models for performance estimation on programmable hardware accelerators. (Analyse de performance potentielle d'une simulation de QCD sur réseau sur processeur Cell et GPU). University of Rennes 1, France, 2013 - [c3]Junjie Lai, André Seznec:
Performance upper bound analysis and optimization of SGEMM on Fermi and Kepler GPUs. CGO 2013: 4:1-4:10 - [c2]Yuan Tian, Junjie Lai, Lei Yang, Ji Qi, Qingguo Zhou:
A heterogeneous CPU-GPU implementation for discrete elements simulation with multiple GPUs. iCAST/UMEDIA 2013: 547-552 - 2012
- [c1]Junjie Lai, André Seznec:
Break down GPU execution time with an analytical method. RAPIDO 2012: 33-39
Coauthor Index
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