Shiyu Chang

发表

One-Shot Relational Learning for Knowledge Graphs pdf

Mo Yu, Wenhan Xiong, Shiyu Chang, 2018, EMNLP.

Image aesthetics assessment using Deep Chatterjee's machine

Thomas S. Huang, Ding Liu, Shiyu Chang, 2017, 2017 International Joint Conference on Neural Networks (IJCNN).

Self-tuned deep super resolution

Thomas S. Huang, Shiyu Chang, Zhangyang Wang, 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

A Simple Non-i.i.d. Sampling Approach for Efficient Training and Better Generalization pdf

Jinjun Xiong, Yunchao Wei, Thomas S. Huang, 2020, ArXiv.

Robust Task Clustering for Deep Many-Task Learning pdf

Jinfeng Yi, Haoyu Wang, Bowen Zhou, 2017, ArXiv.

Few-shot Text Classification with Distributional Signatures pdf

Regina Barzilay, Shiyu Chang, Menghua Wu, 2019, ICLR.

Self-Progressing Robust Training pdf

Cho-Jui Hsieh, Shiyu Chang, Sijia Liu, 2020, ArXiv.

Selection Bias Explorations and Debias Methods for Natural Language Sentence Matching Datasets

Tiejun Zhao, Conghui Zhu, Mo Yu, 2019, ACL.

Learning Super-Resolution Jointly From External and Internal Examples

Thomas S. Huang, Shiyu Chang, Zhangyang Wang, 2015, IEEE Transactions on Image Processing.

Unsupervised Sequential Outlier Detection With Deep Architectures

Yu Cheng, Bin Liang, Shiyu Chang, 2017, IEEE Transactions on Image Processing.

Faster Reinforcement Learning with Expert State Sequences

Mo Yu, Shiyu Chang, Xiaoxiao Guo, 2018 .

2014 IEEE International Conference on Data Mining

Philip S. Yu, Charu C. Aggarwal, Meng Wang, 2014 .

Coupled Variational Recurrent Collaborative Filtering

Shiyu Chang, Qingquan Song, Xia Hu, 2019, KDD.

Rethinking Cooperative Rationalization: Introspective Extraction and Complement Control pdf

Tommi S. Jaakkola, Shiyu Chang, Yang Zhang, 2019, EMNLP.

Continuous Convolutional Neural Network forNonuniform Time Series

Mark Hasegawa-Johnson, Shiyu Chang, Jishen Zhao, 2019 .

Diverse Few-Shot Text Classification with Multiple Metrics pdf

Yu Cheng, Jinfeng Yi, Haoyu Wang, 2018, NAACL.

Beyond Mahalanobis distance: Learning second-order discriminant function for people verification

Zhen Li, John R. Smith, Thomas S. Huang, 2012, 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops.

Data Clustering by Laplacian Regularized L1-Graph

Jiangping Wang, Thomas S. Huang, Shiyu Chang, 2014, AAAI.

Learning A Deep $\ell_\infty$ Encoder for Hashing.

Qing Ling, Thomas S. Huang, Shiyu Chang, 2016, 1604.01475.

Heterogeneous Network Embedding via Deep Architectures

Charu C. Aggarwal, Thomas S. Huang, Shiyu Chang, 2015, KDD.

Zero-Shot Voice Style Transfer with Only Autoencoder Loss pdf

Mark Hasegawa-Johnson, Shiyu Chang, Xuesong Yang, 2019, ICML.

Matrix Factorization on GPUs with Memory Optimization and Approximate Computing

Liana L. Fong, Cheng Li, Shiyu Chang, 2018, ICPP.

AutoGAN: Neural Architecture Search for Generative Adversarial Networks

Shiyu Chang, Yifan Jiang, Zhangyang Wang, 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).

Evidence Aggregation for Answer Re-Ranking in Open-Domain Question Answering pdf

Wei Zhang, Mo Yu, Shiyu Chang, 2017, ICLR.

Extracting Multiple-Relations in One-Pass with Pre-Trained Transformers pdf

Mo Yu, Shiyu Chang, Xiaoxiao Guo, 2019, ACL.

Clustering Multimedia Data

Thomas S. Huang, Shiyu Chang, Guo-Jun Qi, 2018, Data Clustering: Algorithms and Applications.

Scheduled Policy Optimization for Natural Language Communication with Intelligent Agents pdf

Bowen Zhou, Mo Yu, Wenhan Xiong, 2018, IJCAI.

LEGO-MM: LEarning Structured Model by Probabilistic loGic Ontology Tree for MultiMedia

Qi Tian, Jinhui Tang, Thomas S. Huang, 2017, IEEE Transactions on Image Processing.

Improving Reinforcement Learning Based Image Captioning with Natural Language Prior

Mo Yu, Shiyu Chang, Kun Bai, 2018, EMNLP.

$\mathbf{D^3}$: Deep Dual-Domain Based Fast Restoration of JPEG-Compressed Images pdf

Qing Ling, Thomas S. Huang, Ding Liu, 2016, ArXiv.

Brain-Inspired Deep Networks for Image Aesthetics Assessment pdf

Thomas S. Huang, Shiyu Chang, Zhangyang Wang, 2016, ArXiv.

On the improvement of classifying EEG recordings using neural networks

Shiyu Chang, Shen Li, Shaohan Hu, 2017, 2017 IEEE International Conference on Big Data (Big Data).

Robust Convex Clustering Analysis

Jiayu Zhou, Thomas S. Huang, Qi Wang, 2016, 2016 IEEE 16th International Conference on Data Mining (ICDM).

Visual Interpretability Alone Helps Adversarial Robustness

Shiyu Chang, Sijia Liu, Luca Daniel, 2019 .

Multimedia Classification

Ning Xu, Xianming Liu, Thomas S. Huang, 2014, Data Classification: Algorithms and Applications.

Factorized Similarity Learning in Networks

Charu C. Aggarwal, Meng Wang, Jiayu Zhou, 2014, 2014 IEEE International Conference on Data Mining.

Can 3D Adversarial Logos Cloak Humans? pdf

Yi Wang, Shiyu Chang, Tianlong Chen, 2020, ArXiv.

Cross-Categorization Transfer Learning Enhancing Image and Video Classification Performance

Shiyu Chang, 2011 .

Dilated Recurrent Neural Networks

Thomas S. Huang, Mark Hasegawa-Johnson, Michael J. Witbrock, 2017, NIPS.

Proper Network Interpretability Helps Adversarial Robustness in Classification

Shiyu Chang, Pin-Yu Chen, Gaoyuan Zhang, 2020, ICML.

Large-scale supervised similarity learning in networks

Charu C. Aggarwal, Meng Wang, Jiayu Zhou, 2015, Knowledge and Information Systems.

Speech Enhancement Using Bayesian Wavenet

Mark Hasegawa-Johnson, Shiyu Chang, Xuesong Yang, 2017, INTERSPEECH.

Training Stronger Baselines for Learning to Optimize pdf

Shiyu Chang, Tianlong Chen, Zhangyang Wang, 2020, NeurIPS.

Tight Certificates of Adversarial Robustness for Randomly Smoothed Classifiers

Tommi S. Jaakkola, Shiyu Chang, Guang-He Lee, 2019, NeurIPS.

Learning Locally-Adaptive Decision Functions for Person Verification

Zhen Li, John R. Smith, Thomas S. Huang, 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.

Additive Adversarial Learning for Unbiased Authentication

Zenglin Xu, Chenbin Zhang, Shiyu Chang, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Scalable Similarity Learning Using Large Margin Neighborhood Embedding

Thomas S. Huang, Shiyu Chang, Zhe L. Lin, 2014, 2015 IEEE Winter Conference on Applications of Computer Vision.

A Stratified Approach to Robustness for Randomly Smoothed Classifiers pdf

Tommi S. Jaakkola, Shiyu Chang, Guang-He Lee, 2019, NeurIPS 2019.

Towards cross-category knowledge propagation for learning visual concepts

Charu C. Aggarwal, Qi Tian, Thomas S. Huang, 2011, CVPR 2011.

An Efficient and Margin-Approaching Zero-Confidence Adversarial Attack pdf

Mo Yu, Shiyu Chang, Yang Zhang, 2019, ArXiv.

The Lottery Ticket Hypothesis for Pre-trained BERT Networks pdf

Yang Zhang, Shiyu Chang, Tianlong Chen, 2020, NeurIPS.

A Game Theoretic Approach to Class-wise Selective Rationalization

Tommi S. Jaakkola, Shiyu Chang, Yang Zhang, 2019, NeurIPS.

Fast Wavenet Generation Algorithm pdf

Thomas S. Huang, Shiyu Chang, Yang Zhang, 2016, ArXiv.

Learning A Deep ℓ∞ Encoder for Hashing pdf

Qing Ling, Thomas S. Huang, Shiyu Chang, 2016, IJCAI.

Deep Learning Based Speech Beamforming

Mark Hasegawa-Johnson, Shiyu Chang, Xuesong Yang, 2018, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Interactive Fiction Game Playing as Multi-Paragraph Reading Comprehension with Reinforcement Learning

Chuang Gan, Shiyu Chang, Xiaoxiao Guo, 2020, EMNLP.

Adversarial Robustness: From Self-Supervised Pre-Training to Fine-Tuning

Yu Cheng, Shiyu Chang, Tianlong Chen, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Self-Supervised Learning for Contextualized Extractive Summarization

Mo Yu, Wenhan Xiong, Shiyu Chang, 2019, ACL.

Learning a deep l ∞ encoder for hashing

Qing Ling, Thomas S. Huang, Shiyu Chang, 2016, IJCAI 2016.

Low-Rank Sparse Feature Selection for Patient Similarity Learning

Shiyu Chang, Buyue Qian, Jishang Wei, 2016, 2016 IEEE 16th International Conference on Data Mining (ICDM).

A joint perspective towards image super-resolution: Unifying external- and self-examples

Thomas S. Huang, Shiyu Chang, Zhangyang Wang, 2014, IEEE Winter Conference on Applications of Computer Vision.

Lifelong Object Detection pdf

Shiyu Chang, David Cox, Wang Zhou, 2020, ArXiv.

Positive-Unlabeled Learning in Streaming Networks

Yi Chang, Thomas S. Huang, Shiyu Chang, 2016, KDD.

Transformed Anti-Sparse Hashing

Shiyu Chang, Ji Liu, Zhangyang Wang, 2017, BMVC.

A Space Alignment Method for Cold-Start TV Show Recommendations

Jiayu Zhou, Thomas S. Huang, Shiyu Chang, 2015, IJCAI.

Simple yet Effective Bridge Reasoning for Open-Domain Multi-Hop Question Answering pdf

Wenhan Xiong, Shiyu Chang, Xiaoxiao Guo, 2019, MRQA@EMNLP.

Localizing Web Videos from Heterogeneous Images

Yue Gao, Rongrong Ji, Xianming Liu, 2013, AAAI.

Epitomic Image Super-Resolution

Thomas S. Huang, Ding Liu, Shiyu Chang, 2016, AAAI.

Blind Image Deblurring Using Spectral Properties of Convolution Operators

Guangcan Liu, Yi Ma, Shiyu Chang, 2014, IEEE Transactions on Image Processing.

Learning Local Semantic Distances with Limited Supervision

Charu C. Aggarwal, Thomas S. Huang, Shiyu Chang, 2014, 2014 IEEE International Conference on Data Mining.

Unsupervised Speech Decomposition via Triple Information Bottleneck pdf

Mark Hasegawa-Johnson, Shiyu Chang, David Cox, 2020, ICML.

Imposing Label-Relational Inductive Bias for Extremely Fine-Grained Entity Typing pdf

Mo Yu, Wenhan Xiong, Shiyu Chang, 2019, NAACL.

Meta Reasoning over Knowledge Graphs pdf

Wenhan Xiong, Shiyu Chang, Xiaoxiao Guo, 2019, ArXiv.

The Lottery Tickets Hypothesis for Supervised and Self-supervised Pre-training in Computer Vision Models pdf

Shiyu Chang, Tianlong Chen, Zhangyang Wang, 2020, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

R3: Reinforced Ranker-Reader for Open-Domain Question Answering

Wei Zhang, Bowen Zhou, Mo Yu, 2018, AAAI.

Deriving Machine Attention from Human Rationales pdf

Regina Barzilay, Mo Yu, Shiyu Chang, 2018, EMNLP.

Invariant Rationalization

Tommi S. Jaakkola, Shiyu Chang, Yang Zhang, 2020, ICML.

Streaming Recommender Systems

Yi Chang, Thomas S. Huang, Shiyu Chang, 2016, WWW.

Negative Link Prediction in Social Media

Charu C. Aggarwal, Huan Liu, Shiyu Chang, 2014, WSDM.

Fast Generation for Convolutional Autoregressive Models pdf

Thomas S. Huang, Roy H. Campbell, Shiyu Chang, 2017, ICLR.

Studying Very Low Resolution Recognition Using Deep Networks

Thomas S. Huang, Ding Liu, Shiyu Chang, 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Decentralized Recommender Systems pdf

Jiayu Zhou, Xianming Liu, Thomas S. Huang, 2015, ArXiv.

Hybrid Reinforcement Learning with Expert State Sequences pdf

Mo Yu, Shiyu Chang, Xiaoxiao Guo, 2019, AAAI.

Similarity learning in the era of big data

Shiyu Chang, 2016 .

Sentence Embedding Alignment for Lifelong Relation Extraction pdf

Hong Wang, Mo Yu, Wenhan Xiong, 2019, NAACL.

Stacked Approximated Regression Machine: A Simple Deep Learning Approach pdf

Qing Ling, Thomas S. Huang, Shiyu Chang, 2016, ArXiv.

Co-Regularized Deep Multi-Network Embedding

Xiao Liu, Wei Cheng, Shiyu Chang, 2018, WWW.

Learning to Recover Reasoning Chains for Multi-Hop Question Answering via Cooperative Games pdf

Wenhan Xiong, Shiyu Chang, Murray Campbell, 2020, ArXiv.

Collaborative Recommendation of Photo-Taking Geolocations

Jiayu Zhou, Shiyu Chang, Thomas Phan, 2014, GeoMM '14.

Image Super-Resolution via Dual-State Recurrent Networks

Thomas S. Huang, Ding Liu, Mo Yu, 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Context-Aware Conversation Thread Detection in Multi-Party Chat

Shiyu Chang, Xiaoxiao Guo, Yupeng Gao, 2019, EMNLP.

Zeroth-Order Stochastic Variance Reduction for Nonconvex Optimization

Shiyu Chang, Bhavya Kailkhura, Lisa Amini, 2018, NeurIPS.

Greedy Batch-Based Minimum-Cost Flows for Tracking Multiple Objects

Xianming Liu, Thomas S. Huang, Dacheng Tao, 2017, IEEE Transactions on Image Processing.

TWEETQA: A Social Media Focused Question Answering Dataset

Wenhan Xiong, Shiyu Chang, Xiaoxiao Guo, 2019, ACL.

Learning Temporal Dynamics for Video Super-Resolution: A Deep Learning Approach

Xianming Liu, Thomas S. Huang, Shiyu Chang, 2018, IEEE Transactions on Image Processing.

Improving Question Answering over Incomplete KBs with Knowledge-Aware Reader pdf

Wenhan Xiong, Shiyu Chang, Xiaoxiao Guo, 2019, ACL.

D3: Deep Dual-Domain Based Fast Restoration of JPEG-Compressed Images

Qing Ling, Thomas S. Huang, Ding Liu, 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Jointly Attentive Spatial-Temporal Pooling Networks for Video-Based Person Re-identification

Yu Cheng, Yang Yang, Shiyu Chang, 2017, 2017 IEEE International Conference on Computer Vision (ICCV).

Revisiting Pre-training: An Efficient Training Method for Image Classification.

Jinjun Xiong, Yunchao Wei, Thomas S. Huang, 2018 .

A Co-Matching Model for Multi-choice Reading Comprehension pdf

Shiyu Chang, Shuohang Wang, Jing Jiang, 2018, ACL.

SPROUT: Self-Progressing Robust Training

Cho-Jui Hsieh, Shiyu Chang, Sijia Liu, 2019 .

Learning A Task-Specific Deep Architecture For Clustering pdf

Jiayu Zhou, Thomas S. Huang, Shiyu Chang, 2015, SDM.

Learning Corresponded Rationales for Text Matching

Tommi S. Jaakkola, Shiyu Chang, Mo Yu, 2018 .

Robust Video Super-Resolution with Learned Temporal Dynamics

Xianming Liu, Thomas S. Huang, Ding Liu, 2017, 2017 IEEE International Conference on Computer Vision (ICCV).

A Joint Optimization Framework of Sparse Coding and Discriminative Clustering

Simon Fong, Jinyan Li, Thomas S. Huang, 2015, IJCAI.

Structured concept recycling by probabilistic logic ontology tree

Shiyu Chang, 2014 .

R3: Reinforced Reader-Ranker for Open-Domain Question Answering pdf

Wei Zhang, Bowen Zhou, Mo Yu, 2017, ArXiv.

Multimedia LEGO: Learning Structured Model by Probabilistic Logic Ontology Tree

Qi Tian, Jinhui Tang, Thomas S. Huang, 2013, 2013 IEEE 13th International Conference on Data Mining.

TransGAN: Two Transformers Can Make One Strong GAN pdf

Shiyu Chang, Zhangyang Wang, Yifan Jiang, 2021, ArXiv.

Predict then Interpolate: A Simple Algorithm to Learn Stable Classifiers

Regina Barzilay, Shiyu Chang, Yujia Bao, 2021, ICML.

Understanding Interlocking Dynamics of Cooperative Rationalization pdf

Tommi S. Jaakkola, Shiyu Chang, Yang Zhang, 2021, NeurIPS.

Global Rhythm Style Transfer Without Text Transcriptions pdf

Chuang Gan, Mark Hasegawa-Johnson, Shiyu Chang, 2021, ArXiv.

TransGAN: Two Pure Transformers Can Make One Strong GAN, and That Can Scale Up

Shiyu Chang, Zhangyang Wang, Yifan Jiang, 2021 .

Continuous Cnn For Nonuniform Time Series

Mark Hasegawa-Johnson, Shiyu Chang, Yang Zhang, 2021, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

On the Interplay Between Sparsity, Naturalness, Intelligibility, and Prosody in Speech Synthesis pdf

James Glass, Junichi Yamagishi, Shiyu Chang, 2021, ArXiv.

Global Prosody Style Transfer Without Text Transcriptions

Chuang Gan, Mark Hasegawa-Johnson, Shiyu Chang, 2021, ICML.

Query and Extract: Refining Event Extraction as Type-oriented Binary Decoding pdf

Lifu Huang, Shiyu Chang, Lichao Sun, 2021, ArXiv.

PARP: Prune, Adjust and Re-Prune for Self-Supervised Speech Recognition pdf

James Glass, Shiyu Chang, Yang Zhang, 2021, ArXiv.

Robust Overfitting may be mitigated by properly learned smoothening

Shiyu Chang, Zhangyang Wang, Sijia Liu, 2021, ICLR.

Complementary Evidence Identification in Open-Domain Question Answering

Shiyu Chang, Xiangyang Mou, Li Zhang, 2021, EACL.

Learning Stable Classifiers by Transferring Unstable Features pdf

Regina Barzilay, Shiyu Chang, Yujia Bao, 2021, ArXiv.

Generating Adversarial Computer Programs using Optimized Obfuscations pdf

Quanfu Fan, Shiyu Chang, Una-May O'Reilly, 2021, ICLR.

The Lottery Ticket Hypothesis for Pre-trained BERT Networks pdf

Shiyu Chang, Yang Zhang, Tianlong Chen, 2020, NeurIPS.

Out-of-Domain Detection for Low-Resource Text Classification Tasks pdf

Yang Yu, Shiyu Chang, Haoyu Wang, 2019, EMNLP.