36 citations · 93 across the 11 of their papers we have counts for
11 papers
Spinning Metasurface Stack for Spectro-polarimetric Thermal Imaging
Xueji Wang, Ziyi Yang, Fanglin Bao +2
Spectro-polarimetric imaging in the long-wave infrared (LWIR) region plays a crucial role in applications from night vision and machine perception to trace gas sensing and thermogr…
i-Code: An Integrative and Composable Multimodal Learning Framework
Ziyi Yang, Yuwei Fang, Chenguang Zhu +17
Human intelligence is multimodal; we integrate visual, linguistic, and acoustic signals to maintain a holistic worldview. Most current pretraining methods, however, are limited to…
A Simple and Effective Method To Eliminate the Self Language Bias in Multilingual Representations
Ziyi Yang, Yinfei Yang, Daniel Cer +1
Language agnostic and semantic-language information isolation is an emerging research direction for multilingual representations models. We explore this problem from a novel angle…
Universal Sentence Representation Learning with Conditional Masked Language Model
Ziyi Yang, Yinfei Yang, Daniel Cer +2
This paper presents a novel training method, Conditional Masked Language Modeling (CMLM), to effectively learn sentence representations on large scale unlabeled corpora. CMLM integ…
Multi-Constitutive Neural Network for Large Deformation Poromechanics Problem
Qi Zhang, Yilin Chen, Ziyi Yang +1
In this paper, we study the problem of large-strain consolidation in poromechanics with deep neural networks (DNN). Given different material properties and different loading condit…
Memory Augmented Generative Adversarial Networks for Anomaly Detection
Ziyi Yang, Teng Zhang, Iman Soltani Bozchalooi +1
In this paper, we present a memory-augmented algorithm for anomaly detection. Classical anomaly detection algorithms focus on learning to model and generate normal data, but typica…
Regularized Cycle Consistent Generative Adversarial Network for Anomaly Detection
Ziyi Yang, Iman Soltani Bozchalooi, Eric Darve
In this paper, we investigate algorithms for anomaly detection. Previous anomaly detection methods focus on modeling the distribution of non-anomalous data provided during training…
TED: A Pretrained Unsupervised Summarization Model with Theme Modeling and Denoising
Ziyi Yang, Chenguang Zhu, Robert Gmyr +3
Text summarization aims to extract essential information from a piece of text and transform the text into a concise version. Existing unsupervised abstractive summarization models…
Out-of-Vocabulary Embedding Imputation with Grounded Language Information by Graph Convolutional Networks
Ziyi Yang, Chenguang Zhu, Vin Sachidananda +1
Due to the ubiquitous use of embeddings as input representations for a wide range of natural language tasks, imputation of embeddings for rare and unseen words is a critical proble…
Parameter-free Sentence Embedding via Orthogonal Basis
Ziyi Yang, Chenguang Zhu, Weizhu Chen
We propose a simple and robust non-parameterized approach for building sentence representations. Inspired by the Gram-Schmidt Process in geometric theory, we build an orthogonal ba…
A van der Waals pn heterojunction with organic/inorganic semiconductors
Daowei He, Yiming Pan, Haiyan Nan +13
van der Waals (vdW) heterojunctions formed by two-dimensional (2D) materials have attracted tremendous attention due to their excellent electrical/optical properties and device app…