Shiyu Chang

According to our database1, Shiyu Chang authored at least 158 papers between 2011 and 2024.

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Bibliography

2024
A Survey on Data Selection for Language Models.
CoRR, 2024

Defending Large Language Models against Jailbreak Attacks via Semantic Smoothing.
CoRR, 2024

Augment before You Try: Knowledge-Enhanced Table Question Answering via Table Expansion.
CoRR, 2024

2023
Temporal Frame Filtering for Autonomous Driving Using 3D-Stacked Global Shutter CIS With IWO Buffer Memory and Near-Pixel Compute.
IEEE Trans. Circuits Syst. I Regul. Pap., May, 2023

Broad Spectrum Image Deblurring via an Adaptive Super-Network.
IEEE Trans. Image Process., 2023

Correcting Diffusion Generation through Resampling.
CoRR, 2023

Decomposing Uncertainty for Large Language Models through Input Clarification Ensembling.
CoRR, 2023

GDL-DS: A Benchmark for Geometric Deep Learning under Distribution Shifts.
CoRR, 2023

Certified Robustness for Large Language Models with Self-Denoising.
CoRR, 2023

Improving Diffusion Models for Scene Text Editing with Dual Encoders.
CoRR, 2023

Harnessing the Spatial-Temporal Attention of Diffusion Models for High-Fidelity Text-to-Image Synthesis.
CoRR, 2023

Users are the North Star for AI Transparency.
CoRR, 2023

ClawSAT: Towards Both Robust and Accurate Code Models.
Proceedings of the IEEE International Conference on Software Analysis, 2023

Selectivity Drives Productivity: Efficient Dataset Pruning for Enhanced Transfer Learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Towards Coherent Image Inpainting Using Denoising Diffusion Implicit Models.
Proceedings of the International Conference on Machine Learning, 2023

PromptBoosting: Black-Box Text Classification with Ten Forward Passes.
Proceedings of the International Conference on Machine Learning, 2023

TextGrad: Advancing Robustness Evaluation in NLP by Gradient-Driven Optimization.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Robust Mixture-of-Expert Training for Convolutional Neural Networks.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Harnessing the Spatial-Temporal Attention of Diffusion Models for High-Fidelity Text-to-Image Synthesis.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Uncovering the Disentanglement Capability in Text-to-Image Diffusion Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Audio-Visual Neural Syntax Acquisition.
Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2023

Data-Model-Circuit Tri-Design for Ultra-Light Video Intelligence on Edge Devices.
Proceedings of the 28th Asia and South Pacific Design Automation Conference, 2023

2022
Can You Win Everything with A Lottery Ticket?
Trans. Mach. Learn. Res., 2022

Queried Unlabeled Data Improves and Robustifies Class-Incremental Learning.
Trans. Mach. Learn. Res., 2022

Domain Generalization for Language-Independent Automatic Speech Recognition.
Frontiers Artif. Intell., 2022

Grasping the Arrow of Time from the Singularity: Decoding Micromotion in Low-dimensional Latent Spaces from StyleGAN.
CoRR, 2022

Improving Self-Supervised Speech Representations by Disentangling Speakers.
CoRR, 2022

Fairness Reprogramming.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

DiffCSE: Difference-based Contrastive Learning for Sentence Embeddings.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Unsupervised Text-to-Speech Synthesis by Unsupervised Automatic Speech Recognition.
Proceedings of the Interspeech 2022, 2022

WavPrompt: Towards Few-Shot Spoken Language Understanding with Frozen Language Models.
Proceedings of the Interspeech 2022, 2022

Revisiting and Advancing Fast Adversarial Training Through The Lens of Bi-Level Optimization.
Proceedings of the International Conference on Machine Learning, 2022

ContentVec: An Improved Self-Supervised Speech Representation by Disentangling Speakers.
Proceedings of the International Conference on Machine Learning, 2022

Linearity Grafting: Relaxed Neuron Pruning Helps Certifiable Robustness.
Proceedings of the International Conference on Machine Learning, 2022

Data-Efficient Double-Win Lottery Tickets from Robust Pre-training.
Proceedings of the International Conference on Machine Learning, 2022

Learning Stable Classifiers by Transferring Unstable Features.
Proceedings of the International Conference on Machine Learning, 2022

How to Robustify Black-Box ML Models? A Zeroth-Order Optimization Perspective.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Adversarial Support Alignment.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Optimizer Amalgamation.
Proceedings of the Tenth International Conference on Learning Representations, 2022

On the Interplay between Sparsity, Naturalness, Intelligibility, and Prosody in Speech Synthesis.
Proceedings of the IEEE International Conference on Acoustics, 2022

Quarantine: Sparsity Can Uncover the Trojan Attack Trigger for Free.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Incremental Prompting: Episodic Memory Prompt for Lifelong Event Detection.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Temporal Frame Filtering with Near-Pixel Compute for Autonomous Driving.
Proceedings of the 4th IEEE International Conference on Artificial Intelligence Circuits and Systems, 2022

Query and Extract: Refining Event Extraction as Type-oriented Binary Decoding.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

An Adversarial Framework for Generating Unseen Images by Activation Maximization.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Global Rhythm Style Transfer Without Text Transcriptions.
CoRR, 2021

TransGAN: Two Transformers Can Make One Strong GAN.
CoRR, 2021

Understanding Interlocking Dynamics of Cooperative Rationalization.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

PARP: Prune, Adjust and Re-Prune for Self-Supervised Speech Recognition.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

TransGAN: Two Pure Transformers Can Make One Strong GAN, and That Can Scale Up.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Zero-Shot Cross-Lingual Phonetic Recognition with External Language Embedding.
Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

Global Prosody Style Transfer Without Text Transcriptions.
Proceedings of the 38th International Conference on Machine Learning, 2021

Predict then Interpolate: A Simple Algorithm to Learn Stable Classifiers.
Proceedings of the 38th International Conference on Machine Learning, 2021

Generating Adversarial Computer Programs using Optimized Obfuscations.
Proceedings of the 9th International Conference on Learning Representations, 2021

Long Live the Lottery: The Existence of Winning Tickets in Lifelong Learning.
Proceedings of the 9th International Conference on Learning Representations, 2021

Robust Overfitting may be mitigated by properly learned smoothening.
Proceedings of the 9th International Conference on Learning Representations, 2021

Continuous Cnn For Nonuniform Time Series.
Proceedings of the IEEE International Conference on Acoustics, 2021

Complementary Evidence Identification in Open-Domain Question Answering.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

The Lottery Tickets Hypothesis for Supervised and Self-Supervised Pre-Training in Computer Vision Models.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

extending PySyft with N.-IID Federated Learning Benchmarkby Houda Bouraqqadi, Ayoub Berrag, Mohamed Mhaouach, Afaf Bouhoute, Khalid Fardousse, and Ismail Berrada: Learning to Recover Reasoning Chains for Multi-Hop Question Answering via Cooperative Games.
Proceedings of the 34th Canadian Conference on Artificial Intelligence, 2021

Self-Progressing Robust Training.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Lifelong Object Detection.
CoRR, 2020

Can 3D Adversarial Logos Cloak Humans?
CoRR, 2020

Learning to Recover Reasoning Chains for Multi-Hop Question Answering via Cooperative Games.
CoRR, 2020

Training Stronger Baselines for Learning to Optimize.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

The Lottery Ticket Hypothesis for Pre-trained BERT Networks.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Unsupervised Speech Decomposition via Triple Information Bottleneck.
Proceedings of the 37th International Conference on Machine Learning, 2020

Invariant Rationalization.
Proceedings of the 37th International Conference on Machine Learning, 2020

Proper Network Interpretability Helps Adversarial Robustness in Classification.
Proceedings of the 37th International Conference on Machine Learning, 2020

Few-shot Text Classification with Distributional Signatures.
Proceedings of the 8th International Conference on Learning Representations, 2020

Interactive Fiction Game Playing as Multi-Paragraph Reading Comprehension with Reinforcement Learning.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Adversarial Robustness: From Self-Supervised Pre-Training to Fine-Tuning.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
An Efficient and Margin-Approaching Zero-Confidence Adversarial Attack.
CoRR, 2019

Meta Reasoning over Knowledge Graphs.
CoRR, 2019

A Stratified Approach to Robustness for Randomly Smoothed Classifiers.
CoRR, 2019

Zero-Shot Voice Style Transfer with Only Autoencoder Loss.
CoRR, 2019

Tight Certificates of Adversarial Robustness for Randomly Smoothed Classifiers.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

A Game Theoretic Approach to Class-wise Selective Rationalization.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Imposing Label-Relational Inductive Bias for Extremely Fine-Grained Entity Typing.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Sentence Embedding Alignment for Lifelong Relation Extraction.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Coupled Variational Recurrent Collaborative Filtering.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

AutoVC: Zero-Shot Voice Style Transfer with Only Autoencoder Loss.
Proceedings of the 36th International Conference on Machine Learning, 2019

AutoGAN: Neural Architecture Search for Generative Adversarial Networks.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Rethinking Cooperative Rationalization: Introspective Extraction and Complement Control.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Out-of-Domain Detection for Low-Resource Text Classification Tasks.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Context-Aware Conversation Thread Detection in Multi-Party Chat.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Additive Adversarial Learning for Unbiased Authentication.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Selection Bias Explorations and Debias Methods for Natural Language Sentence Matching Datasets.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Improving Question Answering over Incomplete KBs with Knowledge-Aware Reader.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

TWEETQA: A Social Media Focused Question Answering Dataset.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Self-Supervised Learning for Contextualized Extractive Summarization.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Extracting Multiple-Relations in One-Pass with Pre-Trained Transformers.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Simple yet Effective Bridge Reasoning for Open-Domain Multi-Hop Question Answering.
Proceedings of the 2nd Workshop on Machine Reading for Question Answering, 2019

Hybrid Reinforcement Learning with Expert State Sequences.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Learning Temporal Dynamics for Video Super-Resolution: A Deep Learning Approach.
IEEE Trans. Image Process., 2018

A Simple Non-i.i.d. Sampling Approach for Efficient Training and Better Generalization.
CoRR, 2018

Co-Regularized Deep Multi-Network Embedding.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

Zeroth-Order Stochastic Variance Reduction for Nonconvex Optimization.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Diverse Few-Shot Text Classification with Multiple Metrics.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Scheduled Policy Optimization for Natural Language Communication with Intelligent Agents.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Matrix Factorization on GPUs with Memory Optimization and Approximate Computing.
Proceedings of the 47th International Conference on Parallel Processing, 2018

Evidence Aggregation for Answer Re-Ranking in Open-Domain Question Answering.
Proceedings of the 6th International Conference on Learning Representations, 2018

Deep Learning Based Speech Beamforming.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

One-Shot Relational Learning for Knowledge Graphs.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Improving Reinforcement Learning Based Image Captioning with Natural Language Prior.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Deriving Machine Attention from Human Rationales.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Image Super-Resolution via Dual-State Recurrent Networks.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

A Co-Matching Model for Multi-choice Reading Comprehension.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

R<sup>3</sup>: Reinforced Ranker-Reader for Open-Domain Question Answering.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Greedy Batch-Based Minimum-Cost Flows for Tracking Multiple Objects.
IEEE Trans. Image Process., 2017

LEGO-MM: LEarning Structured Model by Probabilistic loGic Ontology Tree for MultiMedia.
IEEE Trans. Image Process., 2017

Unsupervised Sequential Outlier Detection With Deep Architectures.
IEEE Trans. Image Process., 2017

R<sup>3</sup>: Reinforced Reader-Ranker for Open-Domain Question Answering.
CoRR, 2017

Robust Task Clustering for Deep Many-Task Learning.
CoRR, 2017

Streaming Recommender Systems.
Proceedings of the 26th International Conference on World Wide Web, 2017

Dilated Recurrent Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Speech Enhancement Using Bayesian Wavenet.
Proceedings of the Interspeech 2017, 2017

Image aesthetics assessment using Deep Chatterjee's machine.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Fast Generation for Convolutional Autoregressive Models.
Proceedings of the 5th International Conference on Learning Representations, 2017

Jointly Attentive Spatial-Temporal Pooling Networks for Video-Based Person Re-identification.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Robust Video Super-Resolution with Learned Temporal Dynamics.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Transformed Anti-Sparse Hashing.
Proceedings of the British Machine Vision Conference 2017, 2017

On the improvement of classifying EEG recordings using neural networks.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2016
Similarity learning in the era of big data
PhD thesis, 2016

Large-scale supervised similarity learning in networks.
Knowl. Inf. Syst., 2016

$\mathbf{D^3}$: Deep Dual-Domain Based Fast Restoration of JPEG-Compressed Images.
CoRR, 2016

Brain-Inspired Deep Networks for Image Aesthetics Assessment.
CoRR, 2016

Fast Wavenet Generation Algorithm.
CoRR, 2016

Learning A Task-Specific Deep Architecture For Clustering.
Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

Positive-Unlabeled Learning in Streaming Networks.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Learning A Deep ℓ<sub>∞</sub> Encoder for Hashing.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Low-Rank Sparse Feature Selection for Patient Similarity Learning.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Robust Convex Clustering Analysis.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

D3: Deep Dual-Domain Based Fast Restoration of JPEG-Compressed Images.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Studying Very Low Resolution Recognition Using Deep Networks.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Epitomic Image Super-Resolution.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Learning Super-Resolution Jointly From External and Internal Examples.
IEEE Trans. Image Process., 2015

Decentralized Recommender Systems.
CoRR, 2015

Learning A Task-Specific Deep Architecture For Clustering.
CoRR, 2015

Negative Link Prediction in Social Media.
Proceedings of the Eighth ACM International Conference on Web Search and Data Mining, 2015

Scalable Similarity Learning Using Large Margin Neighborhood Embedding.
Proceedings of the 2015 IEEE Winter Conference on Applications of Computer Vision, 2015

Heterogeneous Network Embedding via Deep Architectures.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

A Joint Optimization Framework of Sparse Coding and Discriminative Clustering.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

A Space Alignment Method for Cold-Start TV Show Recommendations.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Self-tuned deep super resolution.
Proceedings of the 2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2015

2014
Blind Image Deblurring Using Spectral Properties of Convolution Operators.
IEEE Trans. Image Process., 2014

A joint perspective towards image super-resolution: Unifying external- and self-examples.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2014

Collaborative Recommendation of Photo-Taking Geolocations.
Proceedings of the 3rd ACM Multimedia Workshop on Geotagging and Its Applications in Multimedia, 2014

Factorized Similarity Learning in Networks.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

Learning Local Semantic Distances with Limited Supervision.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

Data Clustering by Laplacian Regularized L1-Graph.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

Multimedia Classification.
Proceedings of the Data Classification: Algorithms and Applications, 2014

2013
Multimedia LEGO: Learning Structured Model by Probabilistic Logic Ontology Tree.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

Learning Locally-Adaptive Decision Functions for Person Verification.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

Localizing Web Videos from Heterogeneous Images.
Proceedings of the Late-Breaking Developments in the Field of Artificial Intelligence, 2013

Clustering Multimedia Data.
Proceedings of the Data Clustering: Algorithms and Applications, 2013

2012
Beyond Mahalanobis distance: Learning second-order discriminant function for people verification.
Proceedings of the 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2012

2011
Towards cross-category knowledge propagation for learning visual concepts.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011


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