Search Results for author: Jian Hu

Found 7 papers, 1 papers with code

Discriminative Partial Domain Adversarial Network

no code implementations ECCV 2020 Jian Hu, Hongya Tuo, Chao Wang, Lingfeng Qiao, Haowen Zhong, Junchi Yan, Zhongliang Jing, Henry Leung

Previous methods typically match the whole source domain to target domain, which causes negative transfer due to the source-negative classes in source domain that does not exist in target domain.

Partial Domain Adaptation Transfer Learning

Self-Adaptive Partial Domain Adaptation

no code implementations18 Sep 2021 Jian Hu, Hongya Tuo, Shizhao Zhang, Chao Wang, Haowen Zhong, Zhikang Zou, Zhongliang Jing, Henry Leung, Ruping Zou

Partial Domain adaptation (PDA) aims to solve a more practical cross-domain learning problem that assumes target label space is a subset of source label space.

Partial Domain Adaptation

Domain Adaptive YOLO for One-Stage Cross-Domain Detection

no code implementations26 Jun 2021 Shizhao Zhang, Hongya Tuo, Jian Hu, Zhongliang Jing

Multi-scale instance level features alignment is presented to reduce instance domain shift effectively , such as variations in object appearance and viewpoint.

Domain Adaptation

Rethinking the Implementation Matters in Cooperative Multi-Agent Reinforcement Learning

1 code implementation6 Feb 2021 Jian Hu, Siyang Jiang, Seth Austin Harding, Haibin Wu, Shih-wei Liao

Multi-Agent Reinforcement Learning (MARL) has seen revolutionary breakthroughs with its successful application to multi-agent cooperative tasks such as computer games and robot swarms.

SMAC Starcraft

QR-MIX: Distributional Value Function Factorisation for Cooperative Multi-Agent Reinforcement Learning

no code implementations9 Sep 2020 Jian Hu, Seth Austin Harding, Haibin Wu, Siyue Hu, Shih-wei Liao

Existing methods such as Value Decomposition Network (VDN) and QMIX estimate the value of long-term returns as a scalar that does not contain the information of randomness.

SMAC Starcraft

A hybrid model based on deep LSTM for predicting high-dimensional chaotic systems

no code implementations21 Jan 2020 Youming Lei, Jian Hu, Jianpeng Ding

The numerical results show that the proposed method can effectively avoid the rapid divergence of the multi-layer LSTM model when reconstructing chaotic attractors, and demonstrate the feasibility of the combination of deep learning based on the gradient descent method and the empirical model.

The Trajectory of Voice Onset Time with Vocal Aging

no code implementations15 Oct 2018 Xuanda Chen, Ziyu Xiong, Jian Hu

Vocal aging, a universal process of human aging, can largely affect one's language use, possibly including some subtle acoustic features of one's utterances like Voice Onset Time.

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