Xiang Kong

Carnegie Mellon University

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Papers17 papers

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Decoupling Global and Local Representations via Invertible Generative Flows

Xuezhe Ma,Xiang Kong,Shanghang Zhang,Eduard H Hovy

ICLR 2021, (2021)

Bibtex

Decoupling Global and Local Representations from/for Image Generation

Ma Xuezhe,Kong Xiang,Zhang Shanghang,Hovy Eduard

Bibtex

An Empirical Exploration of Local Ordering Pre-training for Structured Learning

Zhisong Zhang,Xiang Kong,Lori S. Levin,Eduard H. Hovy

EMNLP, pp.1770-1783, (2020)

EIBibtex

A Two-Step Approach for Implicit Event Argument Detection

Zhisong Zhang,Xiang Kong,Zhengzhong Liu,Xuezhe Ma,Eduard Hovy

ACL, pp.7479-7485, (2020)

EIBibtex

SCDE: Sentence Cloze Dataset with High Quality Distractors From Examinations

Kong Xiang, Gangal Varun,Hovy Eduard

ACL, pp.5668-5683, (2020)

EIBibtex

Deep Transformers with Latent Depth

Xian Li,Asa Cooper Stickland,Yuqing Tang,Xiang Kong

NIPS 2020, (2020)

EIBibtex

Fast and Simple Mixture of Softmaxes with BPE and Hybrid-LightRNN for Language Generation

Xiang Kong,Qizhe Xie,Zihang Dai,Eduard H. Hovy

national conference on artificial intelligence, (2019)

Cited by7EIBibtex

Neural Machine Translation with Adequacy-Oriented Learning

Xiang Kong,Zhaopeng Tu,Shuming Shi,Eduard H. Hovy,Tong Zhang

national conference on artificial intelligence, (2019)

Cited by15EIBibtex

An Adversarial Approach to High-Quality, Sentiment-Controlled Neural Dialogue Generation

Xiang Kong, Bohan Li,Graham Neubig,Eduard H. Hovy,Yiming Yang

arXiv: Computation and Language, (2019)

Cited by9EIBibtex

MaCow: Masked Convolutional Generative Flow

Xuezhe Ma,Xiang Kong,Shanghang Zhang,Eduard Hovy

ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 32 (NIPS 2019), (2019): 5891-5900

Cited by12EIBibtex

Decompressing Knowledge Graph Representations for Link Prediction

Kong Xiang, Chen Xianyang, Hovy Eduard

Bibtex

Generalized Data Augmentation for Low-Resource Translation

Mengzhou Xia,Xiang Kong,Antonios Anastasopoulos,Graham Neubig

Meeting of the Association for Computational Linguistics, (2019)

Cited by2EIBibtex

Landmark-based consonant voicing detection on multilingual corpora

Xiang Kong,Xuesong Yang,Mark Hasegawa-Johnson,Jeung-Yoon Choi,Stefanie Shattuck-Hufnagel

Journal of the Acoustical Society of America, (2017)

Cited by3EIBibtex

Evaluating Automatic Speech Recognition Systems in Comparison With Human Perception Results Using Distinctive Feature Measures

Xiang Kong,Jeung-Yoon Choi,Stefanie Shattuck-Hufnagel

ICASSP, (2017)

Cited by12EIBibtex

Landmark-based pronunciation error identification on Chinese learning

Xuesong Yang,Xiang Kong,Mark Hasegawa-Johnson,Yanlu Xie

Speech prosody, pp.247-251, (2016)

Bibtex

Performance Improvement of Probabilistic Transcriptions with Language-specific Constraints

Xiang Kong,Preethi Jyothi,Mark Hasegawa-Johnson

SLTU, pp.30-36, (2016)

Cited by4EIBibtex

Analysis of distinctive feature matching with random error generation in a lexical access system

Xiang Kong,Jeungyoon Choi,Stefanie Shattuckhufnagel

Journal of the Acoustical Society of America, (2015)

Cited by4Bibtex

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