Break down GPU execution time with an analytical method. - Junjie Lai; André Seznec (RAPIDO, 2012)

Performance upper bound analysis and optimization of SGEMM on Fermi and Kepler GPUs. - Junjie Lai; André Seznec (CGO, 2013)

A heterogeneous CPU-GPU implementation for discrete elements simulation with multiple GPUs. - Yuan Tian; Junjie Lai; Lei Yang 021; Ji Qi; Qingguo Zhou (iCAST/UMEDIA, 2013)

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). - Junjie Lai (2013)

Design of a multi-degree-of-freedom virtual hand bench for myoelectrical prosthesis. - Junjie Lai; Yun Zhao; Yanjian Liao; Wensheng Hou; Ying Chen; Yao Zhang; Guanglin Li 001; Xiaoying Wu (ICARM, 2017)

Optimizing Winograd-Based Convolution with Tensor Cores. - Junhong Liu; Dongxu Yang; Junjie Lai (ICPP, 2021)

EDGES: An Efficient Distributed Graph Embedding System on GPU Clusters. - Dongxu Yang; Junhong Liu; Junjie Lai (IEEE Trans. Parallel Distributed Syst., 2021)

Pattern Matters: Hierarchical Correlated Strip Convolutional Network for Scene Text Recognition. - Chang Liu; Junjie Lai (ICME, 2022)

Connect to the Past: Graph-Based Latent Estimation for Blind Super-Resolution. - Chang Liu; Rui Zhang; Junjie Lai (ICME, 2022)

WholeGraph: A Fast Graph Neural Network Training Framework with Multi-GPU Distributed Shared Memory Architecture. - Dongxu Yang; Junhong Liu; Jiaxing Qi; Junjie Lai (SC, 2022)

M2DQN: A Robust Method for Accelerating Deep Q-learning Network. - Zhe Zhang; Yukun Zou; Junjie Lai; Qing Xu 017 (CoRR, 2022)

Efficient Incremental Text-to-Speech on GPUs. - Muyang Du; Chuan Liu; Jiaxing Qi; Junjie Lai (APSIPA ASC, 2023)

Improving Noisy Student Training on Non-Target Domain Data for Automatic Speech Recognition. - Yu Chen; Wen Ding 005; Junjie Lai (ICASSP, 2023)

M2DQN: A Robust Method for Accelerating Deep Q-learning Network. - Zhe Zhang; Yukun Zou; Junjie Lai; Qing Xu 017 (ICMLC, 2023)

Improving WaveRNN with Heuristic Dynamic Blending for Fast and High-Quality GPU Vocoding. - Muyang Du; Chuan Liu; Jiaxing Qi; Junjie Lai (INTERSPEECH, 2023)

Knowledge Enhanced Graph Neural Networks for Explainable Recommendation. - Ziyu Lyu; Yue Wu 013; Junjie Lai; Min Yang 007; Chengming Li; Wei Zhou 028 (IEEE Trans. Knowl. Data Eng., 2023)

Romanization Encoding For Multilingual ASR. - Wen Ding 005; Fei Jia; Hainan Xu; Yu Xi; Junjie Lai; Boris Ginsburg (SLT, 2024)

Semi-Supervised Learning For Code-Switching ASR With Large Language Model Filter. - Yu Xi; Wen Ding 005; Kai Yu 004; Junjie Lai (SLT, 2024)

Incremental FastPitch: Chunk-based High Quality Text to Speech. - Muyang Du; Chuan Liu; Junjie Lai (CoRR, 2024)

InstantSpeech: Instant Synchronous Text-to-Speech Synthesis for LLM-driven Voice Chatbots. - Muyang Du; Chuan Liu; Junjie Lai (ICASSP, 2025)

Lightweight neural inverse rendering framework for uncalibrated photometric stereo. - Zhi Xu; Xiyao Xie; Junjie Lai; Hao Wu; Jiajia Liu (J. Electronic Imaging, 2025)