Search Results for author: YiWen Chen

Found 12 papers, 0 papers with code

Synthetic Textual Features for the Large-Scale Detection of Basic-level Categories in English and Mandarin

no code implementations EMNLP 2021 YiWen Chen, Simone Teufel

The best of our methods outperforms the current SoA in BLC detection, with an accuracy of English BLC detection of 75. 0%, and of Mandarin BLC detection 80. 7% on a test set.

StyleRF: Zero-shot 3D Style Transfer of Neural Radiance Fields

no code implementations19 Mar 2023 Kunhao Liu, Fangneng Zhan, YiWen Chen, Jiahui Zhang, Yingchen Yu, Abdulmotaleb El Saddik, Shijian Lu, Eric Xing

In addition, it transforms the grid features according to the reference style which directly leads to high-quality zero-shot style transfer.

Style Transfer

Deep-learning-aided Low-complexity DOA Estimators for Ultra-Massive MIMO Overlapped Receive Array

no code implementations15 Jan 2023 YiWen Chen, Xichao Zhan, Feng Shu

Massive multiple input multiple output(MIMO)-based fully-digital receive antenna arrays bring huge amount of complexity to both traditional direction of arrival(DOA) estimation algorithms and neural network training, which is difficult to satisfy high-precision and low-latency applications in future wireless communications.

ShapeCrafter: A Recursive Text-Conditioned 3D Shape Generation Model

no code implementations19 Jul 2022 Rao Fu, Xiao Zhan, YiWen Chen, Daniel Ritchie, Srinath Sridhar

Results show that our method can generate shapes consistent with text descriptions, and shapes evolve gradually as more phrases are added.

3D Shape Generation

Rapid Phase Ambiguity Elimination Methods for DOA Estimator via Hybrid Massive MIMO Receive Array

no code implementations27 Apr 2022 Xichao Zhan, YiWen Chen, Feng Shu, Xin Cheng, Yuanyuan Wu, Qi Zhang, Yifang Li, Peng Zhang

In the proposed Max-RP-QI, a quadratic interpolation scheme is adopted to interpolate the three DOA values corresponding to the largest three receive powers of Max-RP.

Two Low-complexity DOA Estimators for Massive/Ultra-massive MIMO Receive Array

no code implementations20 Apr 2022 YiWen Chen, Xichao Zhan, Feng Shu, Qijuan Jie, Xin Cheng, Zhihong Zhuang, Jiangzhou Wang

Eigen-decomposition-based direction finding methods of using large-scale/ultra-large-scale fully-digital receive antenna arrays lead to a high or ultra-high complexity.

A Versatile Agent for Fast Learning from Human Instructors

no code implementations1 Mar 2022 YiWen Chen, Zedong Zhang, Haofeng Liu, Jiayi Tan, Chee-Meng Chew, Marcelo Ang

In recent years, a myriad of superlative works on intelligent robotics policies have been done, thanks to advances in machine learning.

Hierarchical Reinforcement Learning Imitation Learning +1

Improving Learning from Demonstrations by Learning from Experience

no code implementations16 Nov 2021 Haofeng Liu, YiWen Chen, Jiayi Tan, Marcelo H Ang Jr

How to make imitation learning more general when demonstrations are relatively limited has been a persistent problem in reinforcement learning (RL).

Imitation Learning Reinforcement Learning (RL)

Canoe : A System for Collaborative Learning for Neural Nets

no code implementations27 Aug 2021 Harshit Daga, YiWen Chen, Aastha Agrawal, Ada Gavrilovska

For highly distributed environments such as edge computing, collaborative learning approaches eschew the dependence on a global, shared model, in favor of models tailored for each location.

Edge-computing Federated Learning +1

GenQu: A Hybrid Framework for Learning Classical Data in Quantum States

no code implementations1 Jan 2021 Samuel A. Stein, Ray Marie Tischio, Betis Baheri, YiWen Chen, Ying Mao, Qiang Guan, Ang Li, Bo Fang

In this paper, we propose GenQu, a hybrid and general-purpose quantum framework for learning classical data through quantum states.

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