Junjie Lai - RankMe

30 papers A 5B 1C 1Misc 3Journal 12Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AIConfigurator: Lightning-Fast Configuration Optimization for Multi-Framework LLM Serving. CoRR Tianhao Xu, Yiming Liu, Xianglong Lu, Yijia Zhao, Xuting Zhou, Aichen Feng, Yiyi Chen, Yi Shen, Qin Zhou, Xumeng Chen, Ilya Sherstyuk, Haorui Li, Rishi Thakkar, Ben Hamm, Yuanzhe Li, Xue Huang, Wenpeng Wu, Anish Shanbhag, Harry Kim, Chuan Chen, Junjie Lai
2026	J	`jnl`	Detecting object-level scene changes in images with feature alignment. J. Electronic Imaging Zhi Xu, Xiaowei Zeng, Yuchang Ma, Junjie Lai, Zhixin Zeng, Yong Jiang
2026	J	`jnl`	FP8-RL: A Practical and Stable Low-Precision Stack for LLM Reinforcement Learning. CoRR Zhaopeng Qiu, Shuang Yu, Jingqi Zhang, Shuai Zhang, Xue Huang, Jingyi Yang, Junjie Lai
2026	J	`jnl`	LiDAR-EVS: Enhance Extrapolated View Synthesis for 3D Gaussian Splatting with Pseudo-LiDAR Supervision. CoRR Yiming Huang, Xin Kang, Sipeng Zhang, Hongliang Ren, Weihua Zhang, Junjie Lai
2025	C	`conf`	Efficient Deployment of Large Speech Recognition Models on GPU. ASRU Yuekai Zhang, Shuang Yu, Junjie Lai
2025	Misc	`conf`	InstantSpeech: Instant Synchronous Text-to-Speech Synthesis for LLM-driven Voice Chatbots. ICASSP Muyang Du, Chuan Liu, Junjie Lai
2025	J	`jnl`	Lightweight neural inverse rendering framework for uncalibrated photometric stereo. J. Electronic Imaging Zhi Xu, Xiyao Xie, Junjie Lai, Hao Wu, Jiajia Liu
2025	—	`conf`	Practical Guidance and Tutorial on Incentivizing Reasoning in LLMs using Distillation and Reinforcement Learning. KDD (2) Zhaopeng Qiu, Jingqi Zhang, Shuang Yu, Shuai Zhang, Junjie Lai
2024	J	`jnl`	Incremental FastPitch: Chunk-based High Quality Text to Speech. CoRR Muyang Du, Chuan Liu, Junjie Lai
2024	—	`conf`	Romanization Encoding For Multilingual ASR. SLT Wen Ding, Fei Jia, Hainan Xu, Yu Xi, Junjie Lai, Boris Ginsburg
2024	J	`jnl`	Romanization Encoding For Multilingual ASR. CoRR Wen Ding, Fei Jia, Hainan Xu, Yu Xi, Junjie Lai, Boris Ginsburg
2024	—	`conf`	Semi-Supervised Learning For Code-Switching ASR With Large Language Model Filter. SLT Yu Xi, Wen Ding, Kai Yu, Junjie Lai
2023	—	`conf`	Efficient Incremental Text-to-Speech on GPUs. APSIPA ASC Muyang Du, Chuan Liu, Jiaxing Qi, Junjie Lai
2023	Misc	`conf`	Improving Noisy Student Training on Non-Target Domain Data for Automatic Speech Recognition. ICASSP Yu Chen, Wen Ding, Junjie Lai
2023	A	`conf`	Improving WaveRNN with Heuristic Dynamic Blending for Fast and High-Quality GPU Vocoding. INTERSPEECH Muyang Du, Chuan Liu, Jiaxing Qi, Junjie Lai
2023	J	`jnl`	Knowledge Enhanced Graph Neural Networks for Explainable Recommendation. IEEE Trans. Knowl. Data Eng. Ziyu Lyu, Yue Wu, Junjie Lai, Min Yang, Chengming Li, Wei Zhou
2023	Misc	`conf`	M2DQN: A Robust Method for Accelerating Deep Q-learning Network. ICMLC Zhe Zhang, Yukun Zou, Junjie Lai, Qing Xu
2022	A	`conf`	Connect to the Past: Graph-Based Latent Estimation for Blind Super-Resolution. ICME Chang Liu, Rui Zhang, Junjie Lai
2022	J	`jnl`	Efficient Incremental Text-to-Speech on GPUs. CoRR Muyang Du, Chuan Liu, Jiaxing Qi, Junjie Lai
2022	J	`jnl`	Improving Noisy Student Training on Non-target Domain Data for Automatic Speech Recognition. CoRR Yu Chen, Wen Ding, Junjie Lai
2022	J	`jnl`	M CoRR Zhe Zhang, Yukun Zou, Junjie Lai, Qing Xu
2022	A	`conf`	Pattern Matters: Hierarchical Correlated Strip Convolutional Network for Scene Text Recognition. ICME Chang Liu, Junjie Lai
2022	A	`conf`	WholeGraph: A Fast Graph Neural Network Training Framework with Multi-GPU Distributed Shared Memory Architecture. SC Dongxu Yang, Junhong Liu, Jiaxing Qi, Junjie Lai
2021	J	`jnl`	EDGES: An Efficient Distributed Graph Embedding System on GPU Clusters. IEEE Trans. Parallel Distributed Syst. Dongxu Yang, Junhong Liu, Junjie Lai
2021	B	`conf`	Optimizing Winograd-Based Convolution with Tensor Cores. ICPP Junhong Liu, Dongxu Yang, Junjie Lai
2017	—	`conf`	Design of a multi-degree-of-freedom virtual hand bench for myoelectrical prosthesis. ICARM Junjie Lai, Yun Zhao, Yanjian Liao, Wensheng Hou, Ying Chen, Yao Zhang, Guanglin Li, Xiaoying Wu
2013	—	`conf`	A heterogeneous CPU-GPU implementation for discrete elements simulation with multiple GPUs. iCAST/UMEDIA Yuan Tian, Junjie Lai, Lei Yang, Ji Qi, Qingguo Zhou
2013	A	`conf`	Performance upper bound analysis and optimization of SGEMM on Fermi and Kepler GPUs. CGO Junjie Lai, André Seznec
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
2012	—	`conf`	Break down GPU execution time with an analytical method. RAPIDO Junjie Lai, André Seznec