no code implementations • 22 Jul 2024 • Mengxian Lyu, Cheng Peng, Daniel Paredes, Ziyi Chen, Aokun Chen, Jiang Bian, Yonghui Wu
This paper presents a hybrid solution for generating discharge summary sections as part of our participation in the "Discharge Me!"
1 code implementation • 4 Jun 2024 • Philip Anastassiou, Jiawei Chen, Jitong Chen, Yuanzhe Chen, Zhuo Chen, Ziyi Chen, Jian Cong, Lelai Deng, Chuang Ding, Lu Gao, Mingqing Gong, Peisong Huang, Qingqing Huang, Zhiying Huang, YuanYuan Huo, Dongya Jia, ChuMin Li, Feiya Li, Hui Li, Jiaxin Li, Xiaoyang Li, Xingxing Li, Lin Liu, Shouda Liu, Sichao Liu, Xudong Liu, Yuchen Liu, Zhengxi Liu, Lu Lu, Junjie Pan, Xin Wang, Yuping Wang, Yuxuan Wang, Zhen Wei, Jian Wu, Chao Yao, Yifeng Yang, YuanHao Yi, Junteng Zhang, Qidi Zhang, Shuo Zhang, Wenjie Zhang, Yang Zhang, Zilin Zhao, Dejian Zhong, Xiaobin Zhuang
Seed-TTS offers superior controllability over various speech attributes such as emotion and is capable of generating highly expressive and diverse speech for speakers in the wild.
no code implementations • CVPR 2024 • Ziyi Chen, Xiaolong Wu, Yu Zhang
Specifically, we integrate view-dependent biases in monocular normal priors into the neural implicit representation of the scene.
no code implementations • 23 Mar 2024 • YiWen Chen, Yuyao Ye, Ziyi Chen, Chuheng Zhang, Marcelo H. Ang
Robotics learning highly relies on human expertise and efforts, such as demonstrations, design of reward functions in reinforcement learning, performance evaluation using human feedback, etc.
1 code implementation • 18 Mar 2024 • Ziyi Chen, Mengyuan Zhang, Mustafa Mohammed Ahmed, Yi Guo, Thomas J. George, Jiang Bian, Yonghui Wu
Cancer treatments are known to introduce cardiotoxicity, negatively impacting outcomes and survivorship.
1 code implementation • 4 Jan 2024 • Xuanhua He, Tao Hu, Guoli Wang, Zejin Wang, Run Wang, Qian Zhang, Keyu Yan, Ziyi Chen, Rui Li, Chenjun Xie, Jie Zhang, Man Zhou
However, current methods often ignore the difference between cell phone RAW images and DSLR camera RGB images, a difference that goes beyond the color matrix and extends to spatial structure due to resolution variations.
no code implementations • 19 Dec 2023 • Ziyi Chen, Jize Jiang, Daqian Zuo, Heyi Tao, Jun Yang, Yuxiang Wei
This results in high computational costs and limits the number of retrieved text, hindering accuracy.
1 code implementation • 18 Dec 2023 • Ziyi Chen, Xiaocong Yang, Jiacheng Lin, Chenkai Sun, Kevin Chen-Chuan Chang, Jie Huang
Introduced to enhance the efficiency of large language model (LLM) inference, speculative decoding operates by having a smaller model generate a draft.
no code implementations • 11 Oct 2023 • Ziyi Chen, Fankai Xie, Meng Wan, Yang Yuan, Miao Liu, Zongguo Wang, Sheng Meng, Yangang Wang
The prediction of chemical synthesis pathways plays a pivotal role in materials science research.
no code implementations • 3 Feb 2023 • Ziyi Chen, Ren Yang, Sunyang Fu, Nansu Zong, Hongfang Liu, Ming Huang
In this work, we propose a hybrid deep learning model which combines a pretrained sentence BERT (SBERT) and convolutional neural network (CNN) to detect individuals with depression with their Reddit posts.
1 code implementation • 4 Jul 2022 • Yaojia Zheng, Zhouwu Liu, Rong Mo, Ziyi Chen, Wei-Shi Zheng, Ruixuan Wang
Compared to supervised learning with labelled disease EEG data which can train a model to analyze specific diseases but would fail to monitor previously unseen statuses, anomaly detection based on only normal EEGs can detect any potential anomaly in new EEGs.
1 code implementation • 6 May 2022 • Yuan Gong, Ziyi Chen, Iek-Heng Chu, Peng Chang, James Glass
Automatic pronunciation assessment is an important technology to help self-directed language learners.
Ranked #2 on Phone-level pronunciation scoring on speechocean762 (using extra training data)
Automatic Speech Recognition Automatic Speech Recognition (ASR) +5
no code implementations • 31 Mar 2022 • Shaocong Ma, Ziyi Chen, Yi Zhou, Kaiyi Ji, Yingbin Liang
Moreover, we show that online SGD with mini-batch sampling can further substantially improve the sample complexity over online SGD with periodic data-subsampling over highly dependent data.
no code implementations • 30 Mar 2022 • Ziyi Chen, Bhavya Kailkhura, Yi Zhou
In this work, we study a proximal gradient-type algorithm that adopts the approximate implicit differentiation (AID) scheme for nonconvex bi-level optimization with possibly nonconvex and nonsmooth regularizers.
no code implementations • 22 Dec 2021 • Ziyi Chen, Shaocong Ma, Yi Zhou
Alternating gradient-descent-ascent (AltGDA) is an optimization algorithm that has been widely used for model training in various machine learning applications, which aims to solve a nonconvex minimax optimization problem.
no code implementations • 14 Oct 2021 • Ziyi Chen, Zhengyang Hu, Qunwei Li, Zhe Wang, Yi Zhou
However, GDA has been proved to converge to stationary points for nonconvex minimax optimization, which are suboptimal compared with local minimax points.
no code implementations • ICLR 2022 • Ziyi Chen, Shaocong Ma, Yi Zhou
Two-player zero-sum Markov game is a fundamental problem in reinforcement learning and game theory.
no code implementations • 29 Sep 2021 • Ziyi Chen, Qunwei Li, Yi Zhou
Our result shows that Cubic-GDA achieves an orderwise faster convergence rate than the standard GDA for a wide spectrum of gradient dominant geometry.
no code implementations • 29 Sep 2021 • Shaocong Ma, Ziyi Chen, Yi Zhou, Kaiyi Ji, Yingbin Liang
Specifically, with a $\phi$-mixing model that captures both exponential and polynomial decay of the data dependence over time, we show that SGD with periodic data-subsampling achieves an improved sample complexity over the standard SGD in the full spectrum of the $\phi$-mixing data dependence.
no code implementations • 8 Sep 2021 • Ziyi Chen, Yi Zhou, Rongrong Chen, Shaofeng Zou
Actor-critic (AC) algorithms have been widely adopted in decentralized multi-agent systems to learn the optimal joint control policy.
no code implementations • ICLR 2021 • Shaocong Ma, Ziyi Chen, Yi Zhou, Shaofeng Zou
Greedy-GQ is a value-based reinforcement learning (RL) algorithm for optimal control.
no code implementations • 24 Mar 2021 • Ziyi Chen, Yi Zhou, Rongrong Chen
Under Markovian sampling and linear function approximation, we proved that the finite-time sample complexity of both algorithms for achieving an $\epsilon$-accurate solution is in the order of $\mathcal{O}(\epsilon^{-1}\ln \epsilon^{-1})$, matching the near-optimal sample complexity of centralized TD(0) and TDC.
no code implementations • ICLR 2021 • Ziyi Chen, Yi Zhou, Tengyu Xu, Yingbin Liang
By leveraging this Lyapunov function and the K{\L} geometry that parameterizes the local geometries of general nonconvex functions, we formally establish the variable convergence of proximal-GDA to a critical point $x^*$, i. e., $x_t\to x^*, y_t\to y^*(x^*)$.
no code implementations • 24 Oct 2020 • Ziyi Chen, Patrick De Causmaecker, Yajie Dou
The personnel rostering problem is the problem of finding an optimal way to assign employees to shifts, subject to a set of hard constraints which all valid solutions must follow, and a set of soft constraints which define the relative quality of valid solutions.
no code implementations • 22 Sep 2020 • Cheng Chen, Ziyi Chen, Yi Zhou, Bhavya Kailkhura
We develop FedCluster--a novel federated learning framework with improved optimization efficiency, and investigate its theoretical convergence properties.
no code implementations • 15 May 2020 • Ziyi Chen, Yi Zhou
This paper complements the existing literature by developing various momentum schemes with SPIDER-based variance reduction for non-convex composition optimization.
no code implementations • 10 Feb 2018 • Ziyi Chen
Smartphones with sensors such as accelerometer and gyroscope can be used as pedometers and navigators.