Vadim Mazalov

20 papers A 1B 5C 1Misc 3Journal 5Unranked 5
YearRankTypeTitle / Venue / Authors
2025 J jnl
Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs.
CoRR
Abdelrahman Abouelenin, Atabak Ashfaq, Adam Atkinson, Hany Awadalla, Nguyen Bach, Jianmin Bao, Alon Benhaim, Martin Cai, Vishrav Chaudhary, Congcong Chen, Dong Chen, Dongdong Chen, Jun-Kun Chen, Weizhu Chen, Yen-Chun Chen, Yi-ling Chen, Qi Dai, Xiyang Dai, Ruchao Fan, Mei Gao, Min Gao, Amit Garg, Abhishek Goswami, Junheng Hao, Amr Hendy, Yuxuan Hu, Xin Jin, Mahmoud Khademi, Dongwoo Kim, Young Jin Kim, Gina Lee, Jinyu Li, Yunsheng Li, Chen Liang, Xihui Lin, Zeqi Lin, Mengchen Liu, Yang Liu, Gilsinia Lopez, Chong Luo, Piyush Madan, Vadim Mazalov, Arindam Mitra, Ali Mousavi, Anh Nguyen, Jing Pan, Daniel Perez-Becker, Jacob Platin, Thomas Portet, Kai Qiu, Bo Ren, Liliang Ren, Sambuddha Roy, Ning Shang, Yelong Shen, Saksham Singhal, Subhojit Som, Xia Song, Tetyana Sych, Praneetha Vaddamanu, Shuohang Wang, Yiming Wang, Zhenghao Wang, Haibin Wu, Haoran Xu, Weijian Xu, Yifan Yang, Ziyi Yang, Donghan Yu, Ishmam Zabir, Jianwen Zhang, Li Lyna Zhang, Yunan Zhang, Xiren Zhou
2022 Misc conf
Have Best of Both Worlds: Two-Pass Hybrid and E2E Cascading Framework for Speech Recognition.
ICASSP
Guoli Ye, Vadim Mazalov, Jinyu Li, Yifan Gong
2021 J jnl
Have best of both worlds: two-pass hybrid and E2E cascading framework for speech recognition.
CoRR
Guoli Ye, Vadim Mazalov, Jinyu Li, Yifan Gong
2020 A conf
Developing RNN-T Models Surpassing High-Performance Hybrid Models with Customization Capability.
INTERSPEECH
Jinyu Li, Rui Zhao, Zhong Meng, Yanqing Liu, Wenning Wei, Sarangarajan Parthasarathy, Vadim Mazalov, Zhenghao Wang, Lei He, Sheng Zhao, Yifan Gong
2020 J jnl
Developing RNN-T Models Surpassing High-Performance Hybrid Models with Customization Capability.
CoRR
Jinyu Li, Rui Zhao, Zhong Meng, Yanqing Liu, Wenning Wei, Sarangarajan Parthasarathy, Vadim Mazalov, Zhenghao Wang, Lei He, Sheng Zhao, Yifan Gong
2018 Misc conf
Speaker-Invariant Training Via Adversarial Learning.
ICASSP
Zhong Meng, Jinyu Li, Zhuo Chen, Yang Zhao, Vadim Mazalov, Yifan Gong, Biing-Hwang Juang
2018 J jnl
Speaker-Invariant Training via Adversarial Learning.
CoRR
Zhong Meng, Jinyu Li, Zhuo Chen, Yong Zhao, Vadim Mazalov, Yifan Gong, Biing-Hwang Juang
2017 J jnl
Unsupervised Adaptation with Domain Separation Networks for Robust Speech Recognition.
CoRR
Zhong Meng, Zhuo Chen, Vadim Mazalov, Jinyu Li, Yifan Gong
2017 C conf
Unsupervised adaptation with domain separation networks for robust speech recognition.
ASRU
Zhong Meng, Zhuo Chen, Vadim Mazalov, Jinyu Li, Yifan Gong
2014 Misc conf
Distance-based High-frequency Trading.
ICCS
Travis Felker, Vadim Mazalov, Stephen M. Watt
2013 — conf
Recommendation systems in mathematical character recognition.
CICM Workshops
Vadim Mazalov, Stephen M. Watt
2012 — conf
A Streaming Digital Ink Framework for Multi-party Collaboration.
AISC/MKM/Calculemus
Rui Hu, Vadim Mazalov, Stephen M. Watt
2012 B conf
A Structure for Adaptive Handwriting Recognition.
ICFHR
Vadim Mazalov, Stephen M. Watt
2012 — conf
Improving isolated and in-context classication of handwritten characters.
DRR
Vadim Mazalov, Stephen M. Watt
2012 B conf
Linear Compression of Digital Ink via Point Selection.
Document Analysis Systems
Vadim Mazalov, Stephen M. Watt
2012 — conf
Message visualizer: a visualization tool for chat messages.
iConference
Lu Xiao, Vadim Mazalov
2012 B conf
Recognition of Relatively Small Handwritten Characters or "Size Matters".
ICFHR
Vadim Mazalov, Stephen M. Watt
2012 — conf
Writing on Clouds.
AISC/MKM/Calculemus
Vadim Mazalov, Stephen M. Watt
2010 B conf
Digital Ink Compression via Functional Approximation.
ICFHR
Vadim Mazalov, Stephen M. Watt
2010 B conf
Toward affine recognition of handwritten mathematical characters.
Document Analysis Systems
Oleg Golubitsky, Vadim Mazalov, Stephen M. Watt