Search Results for author: Zhen Xiao

Found 20 papers, 5 papers with code

Making Flow-Matching-Based Zero-Shot Text-to-Speech Laugh as You Like

no code implementations12 Feb 2024 Naoyuki Kanda, Xiaofei Wang, Sefik Emre Eskimez, Manthan Thakker, Hemin Yang, Zirun Zhu, Min Tang, Canrun Li, Steven Tsai, Zhen Xiao, Yufei Xia, Jinzhu Li, Yanqing Liu, Sheng Zhao, Michael Zeng

In this work, we propose ELaTE, a zero-shot TTS that can generate natural laughing speech of any speaker based on a short audio prompt with precise control of laughter timing and expression.

Understanding the Weakness of Large Language Model Agents within a Complex Android Environment

1 code implementation9 Feb 2024 Mingzhe Xing, Rongkai Zhang, Hui Xue, Qi Chen, Fan Yang, Zhen Xiao

These challenges motivate AndroidArena, an environment and benchmark designed to evaluate LLM agents on a modern operating system.

Date Understanding Language Modelling +1

DTMM: Deploying TinyML Models on Extremely Weak IoT Devices with Pruning

no code implementations17 Jan 2024 Lixiang Han, Zhen Xiao, Zhenjiang Li

DTMM is a library designed for efficient deployment and execution of machine learning models on weak IoT devices such as microcontroller units (MCUs).

AGAIN: Adversarial Training With Attribution Span Enlargement and Hybrid Feature Fusion

1 code implementation CVPR 2023 Shenglin Yin, Kelu Yao, Sheng Shi, Yangzhou Du, Zhen Xiao

To this end, compared with standard DNNs, we discover that the generalization gap of adversarially trained DNNs is caused by the smaller attribution span on the input image.

Test

AnimalTrack: A Benchmark for Multi-Animal Tracking in the Wild

no code implementations30 Apr 2022 Libo Zhang, Junyuan Gao, Zhen Xiao, Heng Fan

Multi-animal tracking (MAT), a multi-object tracking (MOT) problem, is crucial for animal motion and behavior analysis and has many crucial applications such as biology, ecology and animal conservation.

Multi-Object Tracking

Florence: A New Foundation Model for Computer Vision

1 code implementation22 Nov 2021 Lu Yuan, Dongdong Chen, Yi-Ling Chen, Noel Codella, Xiyang Dai, Jianfeng Gao, Houdong Hu, Xuedong Huang, Boxin Li, Chunyuan Li, Ce Liu, Mengchen Liu, Zicheng Liu, Yumao Lu, Yu Shi, Lijuan Wang, JianFeng Wang, Bin Xiao, Zhen Xiao, Jianwei Yang, Michael Zeng, Luowei Zhou, Pengchuan Zhang

Computer vision foundation models, which are trained on diverse, large-scale dataset and can be adapted to a wide range of downstream tasks, are critical for this mission to solve real-world computer vision applications.

Action Classification Action Recognition In Videos +12

Learning Explicit Credit Assignment for Multi-agent Joint Q-learning

no code implementations29 Sep 2021 Hangyu Mao, Jianye Hao, Dong Li, Jun Wang, Weixun Wang, Xiaotian Hao, Bin Wang, Kun Shao, Zhen Xiao, Wulong Liu

In contrast, we formulate an \emph{explicit} credit assignment problem where each agent gives its suggestion about how to weight individual Q-values to explicitly maximize the joint Q-value, besides guaranteeing the Bellman optimality of the joint Q-value.

Q-Learning

Speech-language Pre-training for End-to-end Spoken Language Understanding

no code implementations11 Feb 2021 Yao Qian, Ximo Bian, Yu Shi, Naoyuki Kanda, Leo Shen, Zhen Xiao, Michael Zeng

End-to-end (E2E) spoken language understanding (SLU) can infer semantics directly from speech signal without cascading an automatic speech recognizer (ASR) with a natural language understanding (NLU) module.

Ranked #3 on Spoken Language Understanding on Fluent Speech Commands (using extra training data)

Language Modelling Natural Language Understanding +1

Neighborhood Cognition Consistent Multi-Agent Reinforcement Learning

no code implementations3 Dec 2019 Hangyu Mao, Wulong Liu, Jianye Hao, Jun Luo, Dong Li, Zhengchao Zhang, Jun Wang, Zhen Xiao

Social psychology and real experiences show that cognitive consistency plays an important role to keep human society in order: if people have a more consistent cognition about their environments, they are more likely to achieve better cooperation.

Multi-agent Reinforcement Learning Q-Learning +2

Learning Multi-agent Communication under Limited-bandwidth Restriction for Internet Packet Routing

no code implementations26 Feb 2019 Hangyu Mao, Zhibo Gong, Zhengchao Zhang, Zhen Xiao, Yan Ni

Communication is an important factor for the big multi-agent world to stay organized and productive.

Modelling the Dynamic Joint Policy of Teammates with Attention Multi-agent DDPG

no code implementations13 Nov 2018 Hangyu Mao, Zhengchao Zhang, Zhen Xiao, Zhibo Gong

Second, to model the teammates' policies using the collected information in an effective way, ATT-MADDPG enhances the centralized critic with an attention mechanism.

Reinforcement Learning (RL)

Predicting Restaurant Consumption Level through Social Media Footprints

no code implementations COLING 2016 Yang Xiao, Yu-An Wang, Hangyu Mao, Zhen Xiao

Accurate prediction of user attributes from social media is valuable for both social science analysis and consumer targeting.

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