Search Results for author: Ying Xiong

Found 12 papers, 2 papers with code

From Shading to Local Shape

no code implementations10 Oct 2013 Ying Xiong, Ayan Chakrabarti, Ronen Basri, Steven J. Gortler, David W. Jacobs, Todd Zickler

We develop a framework for extracting a concise representation of the shape information available from diffuse shading in a small image patch.

Surface Reconstruction

Modeling Radiometric Uncertainty for Vision with Tone-mapped Color Images

no code implementations27 Nov 2013 Ayan Chakrabarti, Ying Xiong, Baochen Sun, Trevor Darrell, Daniel Scharstein, Todd Zickler, Kate Saenko

To produce images that are suitable for display, tone-mapping is widely used in digital cameras to map linear color measurements into narrow gamuts with limited dynamic range.

Tone Mapping

Low-level Vision by Consensus in a Spatial Hierarchy of Regions

no code implementations CVPR 2015 Ayan Chakrabarti, Ying Xiong, Steven J. Gortler, Todd Zickler

We introduce a multi-scale framework for low-level vision, where the goal is estimating physical scene values from image data---such as depth from stereo image pairs.

valid

Trigger Word Detection and Thematic Role Identification via BERT and Multitask Learning

no code implementations WS 2019 Dongfang Li, Ying Xiong, Baotian Hu, Hanyang Du, Buzhou Tang, Qingcai Chen

In this paper, we present our approaches for trigger word detection (task 1) and the identification of its thematic role (task 2) in AGAC track of BioNLP Open Shared Task 2019.

Drug Discovery Multi-Task Learning +3

A Deep Learning-Based System for PharmaCoNER

no code implementations WS 2019 Ying Xiong, Yedan Shen, Yuanhang Huang, Shuai Chen, Buzhou Tang, Xiaolong Wang, Qingcai Chen, Jun Yan, Yi Zhou

The Biological Text Mining Unit at BSC and CNIO organized the first shared task on chemical {\&} drug mention recognition from Spanish medical texts called PharmaCoNER (Pharmacological Substances, Compounds and proteins and Named Entity Recognition track) in 2019, which includes two tracks: one for NER offset and entity classification (track 1) and the other one for concept indexing (track 2).

General Classification named-entity-recognition +2

Atomic configuration controlled photocurrent in van der Waals homostructures

no code implementations17 Nov 2020 Ying Xiong, Li-kun Shi, Justin C. W. Song

Conventional photocurrents at a p-n junction depend on macroscopic built-in fields and are typically insensitive to the microscopic details of a crystal's atomic configuration.

Mesoscale and Nanoscale Physics

LightSeq2: Accelerated Training for Transformer-based Models on GPUs

1 code implementation12 Oct 2021 Xiaohui Wang, Yang Wei, Ying Xiong, Guyue Huang, Xian Qian, Yufei Ding, Mingxuan Wang, Lei LI

In this paper, we present LightSeq2, a system to accelerate training for a general family of Transformer models on GPUs.

Machine Translation Speech Recognition +1

Wideband Power Spectrum Sensing: a Fast Practical Solution for Nyquist Folding Receiver

no code implementations14 Aug 2023 Kaili Jiang, Dechang Wang, Kailun Tian, HanCong Feng, Yuxin Zhao, Sen Cao, Jian Gao, Xuying Zhang, Yanfei Li, Junyu Yuan, Ying Xiong, Bin Tang

To address the high-speed sampling bottleneck of wideband spectrum sensing, a fast and practical solution of power spectrum estimation for Nyquist folding receiver (NYFR) is proposed in this paper.

Improving Natural Language Understanding with Computation-Efficient Retrieval Representation Fusion

no code implementations4 Jan 2024 Shangyu Wu, Ying Xiong, Yufei Cui, Xue Liu, Buzhou Tang, Tei-Wei Kuo, Chun Jason Xue

Retrieval-based augmentations that aim to incorporate knowledge from an external database into language models have achieved great success in various knowledge-intensive (KI) tasks, such as question-answering and text generation.

Natural Language Understanding Neural Architecture Search +5

HITSZ-ICRC: A Report for SMM4H Shared Task 2020-Automatic Classification of Medications and Adverse Effect in Tweets

no code implementations SMM4H (COLING) 2020 Xiaoyu Zhao, Ying Xiong, Buzhou Tang

This is the system description of the Harbin Institute of Technology Shenzhen (HITSZ) team for the first and second subtasks of the fifth Social Media Mining for Health Applications (SMM4H) shared task in 2020.

Classification Task 2

Cannot find the paper you are looking for? You can Submit a new open access paper.