no code implementations • 18 Mar 2024 • Chuang Liu, Linhao Yu, Jiaxuan Li, Renren Jin, Yufei Huang, Ling Shi, Junhui Zhang, Xinmeng Ji, Tingting Cui, Tao Liu, Jinwang Song, Hongying Zan, Sun Li, Deyi Xiong
In addition to these benchmarks, we have implemented a phased public evaluation and benchmark update strategy to ensure that OpenEval is in line with the development of Chinese LLMs or even able to provide cutting-edge benchmark datasets to guide the development of Chinese LLMs.
no code implementations • 16 Jun 2023 • Moïse Blanchard, Junhui Zhang, Patrick Jaillet
We propose a family of recursive cutting-plane algorithms to solve feasibility problems with constrained memory, which can also be used for first-order convex optimization.
no code implementations • 9 Feb 2023 • Moïse Blanchard, Junhui Zhang, Patrick Jaillet
For the feasibility problem, in which an algorithm only has access to a separation oracle, we show a stronger trade-off: for at most $d^{2-\delta}$ memory, the number of queries required is $\tilde\Omega(d^{1+\delta})$.
no code implementations • 12 Dec 2022 • Junhui Zhang, Junjie Pan, Xiang Yin, Zejun Ma
Speech-to-speech translation directly translates a speech utterance to another between different languages, and has great potential in tasks such as simultaneous interpretation.
no code implementations • 10 Jul 2022 • Junhui Zhang, Lizhi Ding, Xiaonan Lu, Wenyuan Tang
This paper developed a novel control approach for the sparse and safe frequency regulation for inverter intensive microgrids (MGs).
no code implementations • 10 Jun 2022 • Junhui Zhang, Wudi Bao, Junjie Pan, Xiang Yin, Zejun Ma
In this paper, we propose a novel Chinese dialect TTS frontend with a translation module, which converts Mandarin text into dialectic expressions to improve the intelligibility and naturalness of synthesized speech.
1 code implementation • 8 Oct 2021 • Pengfei Wu, Junjie Pan, Chenchang Xu, Junhui Zhang, Lin Wu, Xiang Yin, Zejun Ma
In expressive speech synthesis, there are high requirements for emotion interpretation.
no code implementations • NeurIPS 2021 • Junhui Zhang, Jingkai Yan, John Wright
We show that a single, universal choice of the regularization parameter suffices to achieve reconstruction error proportional to the (a priori unknown) noise level.
no code implementations • 11 Nov 2019 • Junhui Zhang, Junjie Pan, Xiang Yin, Chen Li, Shichao Liu, Yang Zhang, Yuxuan Wang, Zejun Ma
In this paper, we propose a hybrid text normalization system using multi-head self-attention.