Shiyu Chang

According to our database, Shiyu Chang authored at least 167 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Improving Diffusion Models for Scene Text Editing with Dual Encoders.

Jiabao Ji, Guanhua Zhang, Zhaowen Wang, Bairu Hou, Zhifei Zhang, Brian L. Price, Shiyu Chang

Trans. Mach. Learn. Res., 2024

A Survey on Data Selection for Language Models.

Alon Albalak, Yanai Elazar, Sang Michael Xie, Shayne Longpre, Nathan Lambert, Xinyi Wang, Niklas Muennighoff, Bairu Hou, Liangming Pan, Haewon Jeong, Colin Raffel, Shiyu Chang, Tatsunori Hashimoto, William Yang Wang

Trans. Mach. Learn. Res., 2024

Fictitious Synthetic Data Can Improve LLM Factuality via Prerequisite Learning.

Yujian Liu, Shiyu Chang, Tommi S. Jaakkola, Yang Zhang

CoRR, 2024

VSP: Assessing the dual challenges of perception and reasoning in spatial planning tasks for VLMs.

Qiucheng Wu, Handong Zhao, Michael Saxon, Trung Bui, William Yang Wang, Yang Zhang, Shiyu Chang

CoRR, 2024

Reversing the Forget-Retain Objectives: An Efficient LLM Unlearning Framework from Logit Difference.

Jiabao Ji, Yujian Liu, Yang Zhang, Gaowen Liu, Ramana Rao Kompella, Sijia Liu, Shiyu Chang

CoRR, 2024

A Probabilistic Framework for LLM Hallucination Detection via Belief Tree Propagation.

Bairu Hou, Yang Zhang, Jacob Andreas, Shiyu Chang

CoRR, 2024

Defending Large Language Models against Jailbreak Attacks via Semantic Smoothing.

Jiabao Ji, Bairu Hou, Alexander Robey, George J. Pappas, Hamed Hassani, Yang Zhang, Eric Wong, Shiyu Chang

CoRR, 2024

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

Yujian Liu, Jiabao Ji, Tong Yu, Ryan A. Rossi, Sungchul Kim, Handong Zhao, Ritwik Sinha, Yang Zhang, Shiyu Chang

CoRR, 2024

Advancing the Robustness of Large Language Models through Self-Denoised Smoothing.

Jiabao Ji, Bairu Hou, Zhen Zhang, Guanhua Zhang, Wenqi Fan, Qing Li, Yang Zhang, Gaowen Liu, Sijia Liu, Shiyu Chang

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Short Papers, 2024

Impact of In-Pixel Processing Circuit Non-idealities on Multi-object Tracking Accuracy for Autonomous Driving.

Janak Sharda, Qiucheng Wu, Shiyu Chang, Shimeng Yu

Proceedings of the 67th IEEE International Midwest Symposium on Circuits and Systems, 2024

Sparse Cocktail: Every Sparse Pattern Every Sparse Ratio All At Once.

Zhangheng Li, Shiwei Liu, Tianlong Chen, Ajay Kumar Jaiswal, Zhenyu Zhang, Dilin Wang, Raghuraman Krishnamoorthi, Shiyu Chang, Zhangyang Wang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Decomposing Uncertainty for Large Language Models through Input Clarification Ensembling.

Bairu Hou, Yujian Liu, Kaizhi Qian, Jacob Andreas, Shiyu Chang, Yang Zhang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Speech Self-Supervised Learning Using Diffusion Model Synthetic Data.

Heting Gao, Kaizhi Qian, Junrui Ni, Chuang Gan, Mark A. Hasegawa-Johnson, Shiyu Chang, Yang Zhang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Revisiting Who's Harry Potter: Towards Targeted Unlearning from a Causal Intervention Perspective.

Yujian Liu, Yang Zhang, Tommi S. Jaakkola, Shiyu Chang

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Correcting Diffusion Generation Through Resampling.

Yujian Liu, Yang Zhang, Tommi S. Jaakkola, Shiyu Chang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Temporal Frame Filtering for Autonomous Driving Using 3D-Stacked Global Shutter CIS With IWO Buffer Memory and Near-Pixel Compute.

Janak Sharda, Wantong Li, Qiucheng Wu, Shiyu Chang, Shimeng Yu

IEEE Trans. Circuits Syst. I Regul. Pap., May, 2023

Broad Spectrum Image Deblurring via an Adaptive Super-Network.

Qiucheng Wu, Yifan Jiang, Junru Wu, Victor Kulikov, Vidit Goel, Nikita Orlov, Humphrey Shi, Zhangyang Wang, Shiyu Chang

IEEE Trans. Image Process., 2023

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

Deyu Zou, Shikun Liu, Siqi Miao, Victor Fung, Shiyu Chang, Pan Li

CoRR, 2023

Certified Robustness for Large Language Models with Self-Denoising.

Zhen Zhang, Guanhua Zhang, Bairu Hou, Wenqi Fan, Qing Li, Sijia Liu, Yang Zhang, Shiyu Chang

CoRR, 2023

Users are the North Star for AI Transparency.

Alex Mei, Michael Saxon, Shiyu Chang, Zachary C. Lipton, William Yang Wang

CoRR, 2023

ClawSAT: Towards Both Robust and Accurate Code Models.

Jinghan Jia, Shashank Srikant, Tamara Mitrovska, Chuang Gan, Shiyu Chang, Sijia Liu, Una-May O'Reilly

Proceedings of the IEEE International Conference on Software Analysis, 2023

Selectivity Drives Productivity: Efficient Dataset Pruning for Enhanced Transfer Learning.

Yihua Zhang, Yimeng Zhang, Aochuan Chen, Jinghan Jia, Jiancheng Liu, Gaowen Liu, Mingyi Hong, Shiyu Chang, Sijia Liu

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.

Guanhua Zhang, Jiabao Ji, Yang Zhang, Mo Yu, Tommi S. Jaakkola, Shiyu Chang

Proceedings of the International Conference on Machine Learning, 2023

PromptBoosting: Black-Box Text Classification with Ten Forward Passes.

Bairu Hou, Joe O'Connor, Jacob Andreas, Shiyu Chang, Yang Zhang

Proceedings of the International Conference on Machine Learning, 2023

TextGrad: Advancing Robustness Evaluation in NLP by Gradient-Driven Optimization.

Bairu Hou, Jinghan Jia, Yihua Zhang, Guanhua Zhang, Yang Zhang, Sijia Liu, Shiyu Chang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Robust Mixture-of-Expert Training for Convolutional Neural Networks.

Yihua Zhang, Ruisi Cai, Tianlong Chen, Guanhua Zhang, Huan Zhang, Pin-Yu Chen, Shiyu Chang, Zhangyang Wang, Sijia Liu

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.

Qiucheng Wu, Yujian Liu, Handong Zhao, Trung Bui, Zhe Lin, Yang Zhang, Shiyu Chang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Uncovering the Disentanglement Capability in Text-to-Image Diffusion Models.

Qiucheng Wu, Yujian Liu, Handong Zhao, Ajinkya Kale, Trung Bui, Tong Yu, Zhe Lin, Yang Zhang, Shiyu Chang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Audio-Visual Neural Syntax Acquisition.

Cheng-I Jeff Lai, Freda Shi, Puyuan Peng, Yoon Kim, Kevin Gimpel, Shiyu Chang, Yung-Sung Chuang, Saurabhchand Bhati, David D. Cox, David Harwath, Yang Zhang, Karen Livescu, James R. Glass

Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2023

Data-Model-Circuit Tri-Design for Ultra-Light Video Intelligence on Edge Devices.

Yimeng Zhang, Akshay Karkal Kamath, Qiucheng Wu, Zhiwen Fan, Wuyang Chen, Zhangyang Wang, Shiyu Chang, Sijia Liu, Cong Hao

Proceedings of the 28th Asia and South Pacific Design Automation Conference, 2023

2022

Can You Win Everything with A Lottery Ticket?

Tianlong Chen, Zhenyu Zhang, Jun Wu, Randy Huang, Sijia Liu, Shiyu Chang, Zhangyang Wang

Trans. Mach. Learn. Res., 2022

Queried Unlabeled Data Improves and Robustifies Class-Incremental Learning.

Tianlong Chen, Sijia Liu, Shiyu Chang, Lisa Amini, Zhangyang Wang

Trans. Mach. Learn. Res., 2022

Domain Generalization for Language-Independent Automatic Speech Recognition.

Heting Gao, Junrui Ni, Yang Zhang, Kaizhi Qian, Shiyu Chang, Mark Hasegawa-Johnson

Frontiers Artif. Intell., 2022

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

Qiucheng Wu, Yifan Jiang, Junru Wu, Kai Wang, Gong Zhang, Humphrey Shi, Zhangyang Wang, Shiyu Chang

CoRR, 2022

Improving Self-Supervised Speech Representations by Disentangling Speakers.

Kaizhi Qian, Yang Zhang, Heting Gao, Junrui Ni, Cheng-I Lai, David D. Cox, Mark Hasegawa-Johnson, Shiyu Chang

CoRR, 2022

Fairness Reprogramming.

Guanhua Zhang, Yihua Zhang, Yang Zhang, Wenqi Fan, Qing Li, Sijia Liu, Shiyu Chang

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.

Yung-Sung Chuang, Rumen Dangovski, Hongyin Luo, Yang Zhang, Shiyu Chang, Marin Soljacic, Shang-Wen Li, Scott Yih, Yoon Kim, James R. Glass

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.

Junrui Ni, Liming Wang, Heting Gao, Kaizhi Qian, Yang Zhang, Shiyu Chang, Mark Hasegawa-Johnson

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

WavPrompt: Towards Few-Shot Spoken Language Understanding with Frozen Language Models.

Heting Gao, Junrui Ni, Kaizhi Qian, Yang Zhang, Shiyu Chang, Mark Hasegawa-Johnson

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

Revisiting and Advancing Fast Adversarial Training Through The Lens of Bi-Level Optimization.

Yihua Zhang, Guanhua Zhang, Prashant Khanduri, Mingyi Hong, Shiyu Chang, Sijia Liu

Proceedings of the International Conference on Machine Learning, 2022

ContentVec: An Improved Self-Supervised Speech Representation by Disentangling Speakers.

Kaizhi Qian, Yang Zhang, Heting Gao, Junrui Ni, Cheng-I Lai, David D. Cox, Mark Hasegawa-Johnson, Shiyu Chang

Proceedings of the International Conference on Machine Learning, 2022

Linearity Grafting: Relaxed Neuron Pruning Helps Certifiable Robustness.

Tianlong Chen, Huan Zhang, Zhenyu Zhang, Shiyu Chang, Sijia Liu, Pin-Yu Chen, Zhangyang Wang

Proceedings of the International Conference on Machine Learning, 2022

Data-Efficient Double-Win Lottery Tickets from Robust Pre-training.

Tianlong Chen, Zhenyu Zhang, Sijia Liu, Yang Zhang, Shiyu Chang, Zhangyang Wang

Proceedings of the International Conference on Machine Learning, 2022

Learning Stable Classifiers by Transferring Unstable Features.

Yujia Bao, Shiyu Chang, Regina Barzilay

Proceedings of the International Conference on Machine Learning, 2022

How to Robustify Black-Box ML Models? A Zeroth-Order Optimization Perspective.

Yimeng Zhang, Yuguang Yao, Jinghan Jia, Jinfeng Yi, Mingyi Hong, Shiyu Chang, Sijia Liu

Proceedings of the Tenth International Conference on Learning Representations, 2022

Adversarial Support Alignment.

Shangyuan Tong, Timur Garipov, Yang Zhang, Shiyu Chang, Tommi S. Jaakkola

Proceedings of the Tenth International Conference on Learning Representations, 2022

Optimizer Amalgamation.

Tianshu Huang, Tianlong Chen, Sijia Liu, Shiyu Chang, Lisa Amini, Zhangyang Wang

Proceedings of the Tenth International Conference on Learning Representations, 2022

On the Interplay between Sparsity, Naturalness, Intelligibility, and Prosody in Speech Synthesis.

Cheng-I Jeff Lai, Erica Cooper, Yang Zhang, Shiyu Chang, Kaizhi Qian, Yi-Lun Liao, Yung-Sung Chuang, Alexander H. Liu, Junichi Yamagishi, David D. Cox, James R. Glass

Proceedings of the IEEE International Conference on Acoustics, 2022

Quarantine: Sparsity Can Uncover the Trojan Attack Trigger for Free.

Tianlong Chen, Zhenyu Zhang, Yihua Zhang, Shiyu Chang, Sijia Liu, Zhangyang Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Incremental Prompting: Episodic Memory Prompt for Lifelong Event Detection.

Minqian Liu, Shiyu Chang, Lifu Huang

Proceedings of the 29th International Conference on Computational Linguistics, 2022

Temporal Frame Filtering with Near-Pixel Compute for Autonomous Driving.

Wantong Li, Qiucheng Wu, Janak Sharda, Shiyu Chang, Shimeng Yu

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.

Sijia Wang, Mo Yu, Shiyu Chang, Lichao Sun, Lifu Huang

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

An Adversarial Framework for Generating Unseen Images by Activation Maximization.

Yang Zhang, Wang Zhou, Gaoyuan Zhang, David D. Cox, Shiyu Chang

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Global Rhythm Style Transfer Without Text Transcriptions.

Kaizhi Qian, Yang Zhang, Shiyu Chang, Jinjun Xiong, Chuang Gan, David D. Cox, Mark Hasegawa-Johnson

CoRR, 2021

TransGAN: Two Transformers Can Make One Strong GAN.

Yifan Jiang, Shiyu Chang, Zhangyang Wang

CoRR, 2021

Understanding Interlocking Dynamics of Cooperative Rationalization.

Mo Yu, Yang Zhang, Shiyu Chang, Tommi S. Jaakkola

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.

Cheng-I Jeff Lai, Yang Zhang, Alexander H. Liu, Shiyu Chang, Yi-Lun Liao, Yung-Sung Chuang, Kaizhi Qian, Sameer Khurana, David D. Cox, James R. Glass

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.

Yifan Jiang, Shiyu Chang, Zhangyang Wang

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.

Heting Gao, Junrui Ni, Yang Zhang, Kaizhi Qian, Shiyu Chang, Mark Hasegawa-Johnson

Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

Global Prosody Style Transfer Without Text Transcriptions.

Kaizhi Qian, Yang Zhang, Shiyu Chang, Jinjun Xiong, Chuang Gan, David D. Cox, Mark Hasegawa-Johnson

Proceedings of the 38th International Conference on Machine Learning, 2021

Predict then Interpolate: A Simple Algorithm to Learn Stable Classifiers.

Yujia Bao, Shiyu Chang, Regina Barzilay

Proceedings of the 38th International Conference on Machine Learning, 2021

Generating Adversarial Computer Programs using Optimized Obfuscations.

Shashank Srikant, Sijia Liu, Tamara Mitrovska, Shiyu Chang, Quanfu Fan, Gaoyuan Zhang, Una-May O'Reilly

Proceedings of the 9th International Conference on Learning Representations, 2021

Long Live the Lottery: The Existence of Winning Tickets in Lifelong Learning.

Tianlong Chen, Zhenyu Zhang, Sijia Liu, Shiyu Chang, Zhangyang Wang

Proceedings of the 9th International Conference on Learning Representations, 2021

Robust Overfitting may be mitigated by properly learned smoothening.

Tianlong Chen, Zhenyu Zhang, Sijia Liu, Shiyu Chang, Zhangyang Wang

Proceedings of the 9th International Conference on Learning Representations, 2021

Continuous Cnn For Nonuniform Time Series.

Hui Shi, Yang Zhang, Hao Wu, Shiyu Chang, Kaizhi Qian, Mark Hasegawa-Johnson, Jishen Zhao

Proceedings of the IEEE International Conference on Acoustics, 2021

Complementary Evidence Identification in Open-Domain Question Answering.

Xiangyang Mou, Mo Yu, Shiyu Chang, Yufei Feng, Li Zhang, Hui Su

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.

Tianlong Chen, Jonathan Frankle, Shiyu Chang, Sijia Liu, Yang Zhang, Michael Carbin, Zhangyang Wang

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.

Yufei Feng, Mo Yu, Wenhan Xiong, Xiaoxiao Guo, Junjie Huang, Shiyu Chang, Murray Campbell, Michael A. Greenspan, Xiaodan Zhu

Proceedings of the 34th Canadian Conference on Artificial Intelligence, 2021

Self-Progressing Robust Training.

Minhao Cheng, Pin-Yu Chen, Sijia Liu, Shiyu Chang, Cho-Jui Hsieh, Payel Das

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Lifelong Object Detection.

Wang Zhou, Shiyu Chang, Norma E. Sosa, Hendrik F. Hamann, David D. Cox

CoRR, 2020

Can 3D Adversarial Logos Cloak Humans?

Tianlong Chen, Yi Wang, Jingyang Zhou, Sijia Liu, Shiyu Chang, Chandrajit Bajaj, Zhangyang Wang

CoRR, 2020

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

Yufei Feng, Mo Yu, Wenhan Xiong, Xiaoxiao Guo, Junjie Huang, Shiyu Chang, Murray Campbell, Michael A. Greenspan, Xiaodan Zhu

CoRR, 2020

Training Stronger Baselines for Learning to Optimize.

Tianlong Chen, Weiyi Zhang, Jingyang Zhou, Shiyu Chang, Sijia Liu, Lisa Amini, Zhangyang Wang

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.

Tianlong Chen, Jonathan Frankle, Shiyu Chang, Sijia Liu, Yang Zhang, Zhangyang Wang, Michael Carbin

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.

Kaizhi Qian, Yang Zhang, Shiyu Chang, Mark Hasegawa-Johnson, David D. Cox

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

Invariant Rationalization.

Shiyu Chang, Yang Zhang, Mo Yu, Tommi S. Jaakkola

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

Proper Network Interpretability Helps Adversarial Robustness in Classification.

Akhilan Boopathy, Sijia Liu, Gaoyuan Zhang, Cynthia Liu, Pin-Yu Chen, Shiyu Chang, Luca Daniel

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

Few-shot Text Classification with Distributional Signatures.

Yujia Bao, Menghua Wu, Shiyu Chang, Regina Barzilay

Proceedings of the 8th International Conference on Learning Representations, 2020

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

Xiaoxiao Guo, Mo Yu, Yupeng Gao, Chuang Gan, Murray Campbell, Shiyu Chang

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

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

Tianlong Chen, Sijia Liu, Shiyu Chang, Yu Cheng, Lisa Amini, Zhangyang Wang

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

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

Yang Zhang, Shiyu Chang, Mo Yu, Kaizhi Qian

CoRR, 2019

Meta Reasoning over Knowledge Graphs.

Hong Wang, Wenhan Xiong, Mo Yu, Xiaoxiao Guo, Shiyu Chang, William Yang Wang

CoRR, 2019

A Stratified Approach to Robustness for Randomly Smoothed Classifiers.

Guang-He Lee, Yang Yuan, Shiyu Chang, Tommi S. Jaakkola

CoRR, 2019

Coupled Variational Recurrent Collaborative Filtering.

Qingquan Song, Shiyu Chang, Xia Hu

CoRR, 2019

Zero-Shot Voice Style Transfer with Only Autoencoder Loss.

Kaizhi Qian, Yang Zhang, Shiyu Chang, Xuesong Yang, Mark Hasegawa-Johnson

CoRR, 2019

Tight Certificates of Adversarial Robustness for Randomly Smoothed Classifiers.

Guang-He Lee, Yang Yuan, Shiyu Chang, Tommi S. Jaakkola

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.

Shiyu Chang, Yang Zhang, Mo Yu, Tommi S. Jaakkola

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.

Wenhan Xiong, Jiawei Wu, Deren Lei, Mo Yu, Shiyu Chang, Xiaoxiao Guo, William Yang Wang

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.

Hong Wang, Wenhan Xiong, Mo Yu, Xiaoxiao Guo, Shiyu Chang, William Yang Wang

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.

Qingquan Song, Shiyu Chang, Xia Hu

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

AutoVC: Zero-Shot Voice Style Transfer with Only Autoencoder Loss.

Kaizhi Qian, Yang Zhang, Shiyu Chang, Xuesong Yang, Mark Hasegawa-Johnson

Proceedings of the 36th International Conference on Machine Learning, 2019

AutoGAN: Neural Architecture Search for Generative Adversarial Networks.

Xinyu Gong, Shiyu Chang, Yifan Jiang, Zhangyang Wang

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Rethinking Cooperative Rationalization: Introspective Extraction and Complement Control.

Mo Yu, Shiyu Chang, Yang Zhang, Tommi S. Jaakkola

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.

Ming Tan, Yang Yu, Haoyu Wang, Dakuo Wang, Saloni Potdar, Shiyu Chang, Mo Yu

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.

Ming Tan, Dakuo Wang, Yupeng Gao, Haoyu Wang, Saloni Potdar, Xiaoxiao Guo, Shiyu Chang, Mo Yu

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.

Jian Liang, Yuren Cao, Chenbin Zhang, Shiyu Chang, Kun Bai, Zenglin Xu

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

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

Guanhua Zhang, Bing Bai, Jian Liang, Kun Bai, Shiyu Chang, Mo Yu, Conghui Zhu, Tiejun Zhao

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

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

Wenhan Xiong, Mo Yu, Shiyu Chang, Xiaoxiao Guo, William Yang Wang

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

TWEETQA: A Social Media Focused Question Answering Dataset.

Wenhan Xiong, Jiawei Wu, Hong Wang, Vivek Kulkarni, Mo Yu, Shiyu Chang, Xiaoxiao Guo, William Yang Wang

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Self-Supervised Learning for Contextualized Extractive Summarization.

Hong Wang, Xin Wang, Wenhan Xiong, Mo Yu, Xiaoxiao Guo, Shiyu Chang, William Yang Wang

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

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

Haoyu Wang, Ming Tan, Mo Yu, Shiyu Chang, Dakuo Wang, Kun Xu, Xiaoxiao Guo, Saloni Potdar

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

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

Wenhan Xiong, Mo Yu, Xiaoxiao Guo, Hong Wang, Shiyu Chang, Murray Campbell, William Yang Wang

Proceedings of the 2nd Workshop on Machine Reading for Question Answering, 2019

Hybrid Reinforcement Learning with Expert State Sequences.

Xiaoxiao Guo, Shiyu Chang, Mo Yu, Gerald Tesauro, Murray Campbell

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

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

Ding Liu, Zhaowen Wang, Yuchen Fan, Xianming Liu, Zhangyang Wang, Shiyu Chang, Xinchao Wang, Thomas S. Huang

IEEE Trans. Image Process., 2018

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

Bowen Cheng, Yunchao Wei, Jiahui Yu, Shiyu Chang, Jinjun Xiong, Wen-Mei W. Hwu, Thomas S. Huang, Humphrey Shi

CoRR, 2018

Co-Regularized Deep Multi-Network Embedding.

Jingchao Ni, Shiyu Chang, Xiao Liu, Wei Cheng, Haifeng Chen, Dongkuan Xu, Xiang Zhang

Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

Zeroth-Order Stochastic Variance Reduction for Nonconvex Optimization.

Sijia Liu, Bhavya Kailkhura, Pin-Yu Chen, Pai-Shun Ting, Shiyu Chang, Lisa Amini

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.

Mo Yu, Xiaoxiao Guo, Jinfeng Yi, Shiyu Chang, Saloni Potdar, Yu Cheng, Gerald Tesauro, Haoyu Wang, Bowen Zhou

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.

Wenhan Xiong, Xiaoxiao Guo, Mo Yu, Shiyu Chang, Bowen Zhou, William Yang Wang

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Matrix Factorization on GPUs with Memory Optimization and Approximate Computing.

Wei Tan, Shiyu Chang, Liana Fong, Cheng Li, Zijun Wang, Liangliang Cao

Proceedings of the 47th International Conference on Parallel Processing, 2018

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

Shuohang Wang, Mo Yu, Jing Jiang, Wei Zhang, Xiaoxiao Guo, Shiyu Chang, Zhiguo Wang, Tim Klinger, Gerald Tesauro, Murray Campbell

Proceedings of the 6th International Conference on Learning Representations, 2018

Deep Learning Based Speech Beamforming.

Kaizhi Qian, Yang Zhang, Shiyu Chang, Xuesong Yang, Dinei A. F. Florêncio, Mark Hasegawa-Johnson

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

One-Shot Relational Learning for Knowledge Graphs.

Wenhan Xiong, Mo Yu, Shiyu Chang, Xiaoxiao Guo, William Yang Wang

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.

Tszhang Guo, Shiyu Chang, Mo Yu, Kun Bai

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Deriving Machine Attention from Human Rationales.

Yujia Bao, Shiyu Chang, Mo Yu, Regina Barzilay

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.

Wei Han, Shiyu Chang, Ding Liu, Mo Yu, Michael Witbrock, Thomas S. Huang

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

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

Shuohang Wang, Mo Yu, Jing Jiang, Shiyu Chang

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

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

Shuohang Wang, Mo Yu, Xiaoxiao Guo, Zhiguo Wang, Tim Klinger, Wei Zhang, Shiyu Chang, Gerry Tesauro, Bowen Zhou, Jing Jiang

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

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

Xinchao Wang, Bin Fan, Shiyu Chang, Zhangyang Wang, Xianming Liu, Dacheng Tao, Thomas S. Huang

IEEE Trans. Image Process., 2017

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

Jinhui Tang, Shiyu Chang, Guo-Jun Qi, Qi Tian, Yong Rui, Thomas S. Huang

IEEE Trans. Image Process., 2017

Unsupervised Sequential Outlier Detection With Deep Architectures.

Weining Lu, Yu Cheng, Cao Xiao, Shiyu Chang, Shuai Huang, Bin Liang, Thomas S. Huang

IEEE Trans. Image Process., 2017

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

Shuohang Wang, Mo Yu, Xiaoxiao Guo, Zhiguo Wang, Tim Klinger, Wei Zhang, Shiyu Chang, Gerald Tesauro, Bowen Zhou, Jing Jiang

CoRR, 2017

Robust Task Clustering for Deep Many-Task Learning.

Mo Yu, Xiaoxiao Guo, Jinfeng Yi, Shiyu Chang, Saloni Potdar, Gerald Tesauro, Haoyu Wang, Bowen Zhou

CoRR, 2017

Streaming Recommender Systems.

Shiyu Chang, Yang Zhang, Jiliang Tang, Dawei Yin, Yi Chang, Mark A. Hasegawa-Johnson, Thomas S. Huang

Proceedings of the 26th International Conference on World Wide Web, 2017

Dilated Recurrent Neural Networks.

Shiyu Chang, Yang Zhang, Wei Han, Mo Yu, Xiaoxiao Guo, Wei Tan, Xiaodong Cui, Michael Witbrock, Mark A. Hasegawa-Johnson, Thomas S. Huang

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

Speech Enhancement Using Bayesian Wavenet.

Kaizhi Qian, Yang Zhang, Shiyu Chang, Xuesong Yang, Dinei Florêncio, Mark Hasegawa-Johnson

Proceedings of the 18th Annual Conference of the International Speech Communication Association, 2017

Image aesthetics assessment using Deep Chatterjee's machine.

Zhangyang Wang, Ding Liu, Shiyu Chang, Florin Dolcos, Diane M. Beck, Thomas S. Huang

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Fast Generation for Convolutional Autoregressive Models.

Prajit Ramachandran, Tom Le Paine, Pooya Khorrami, Mohammad Babaeizadeh, Shiyu Chang, Yang Zhang, Mark A. Hasegawa-Johnson, Roy H. Campbell, Thomas S. Huang

Proceedings of the 5th International Conference on Learning Representations, 2017

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

Shuangjie Xu, Yu Cheng, Kang Gu, Yang Yang, Shiyu Chang, Pan Zhou

Proceedings of the IEEE International Conference on Computer Vision, 2017

Robust Video Super-Resolution with Learned Temporal Dynamics.

Ding Liu, Zhaowen Wang, Yuchen Fan, Xianming Liu, Zhangyang Wang, Shiyu Chang, Thomas S. Huang

Proceedings of the IEEE International Conference on Computer Vision, 2017

Transformed Anti-Sparse Hashing.

Zhangyang Wang, Ji Liu, Shuai Huang, Xinchao Wang, Shiyu Chang

Proceedings of the British Machine Vision Conference 2017, 2017

On the improvement of classifying EEG recordings using neural networks.

Yiran Zhao, Shuochao Yao, Shaohan Hu, Shiyu Chang, Raghu K. Ganti, Mudhakar Srivatsa, Shen Li, Tarek F. Abdelzaher

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2016

Similarity learning in the era of big data

Shiyu Chang

PhD thesis, 2016

Large-scale supervised similarity learning in networks.

Shiyu Chang, Guo-Jun Qi, Yingzhen Yang, Charu C. Aggarwal, Jiayu Zhou, Meng Wang, Thomas S. Huang

Knowl. Inf. Syst., 2016

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

Zhangyang Wang, Ding Liu, Shiyu Chang, Qing Ling, Thomas S. Huang

CoRR, 2016

Brain-Inspired Deep Networks for Image Aesthetics Assessment.

Zhangyang Wang, Florin Dolcos, Diane M. Beck, Shiyu Chang, Thomas S. Huang

CoRR, 2016

Fast Wavenet Generation Algorithm.

Tom Le Paine, Pooya Khorrami, Shiyu Chang, Yang Zhang, Prajit Ramachandran, Mark A. Hasegawa-Johnson, Thomas S. Huang

CoRR, 2016

Learning A Task-Specific Deep Architecture For Clustering.

Zhangyang Wang, Shiyu Chang, Jiayu Zhou, Meng Wang, Thomas S. Huang

Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

Positive-Unlabeled Learning in Streaming Networks.

Shiyu Chang, Yang Zhang, Jiliang Tang, Dawei Yin, Yi Chang, Mark A. Hasegawa-Johnson, Thomas S. Huang

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Learning A Deep ℓ_∞ Encoder for Hashing.

Zhangyang Wang, Yingzhen Yang, Shiyu Chang, Qing Ling, Thomas S. Huang

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Low-Rank Sparse Feature Selection for Patient Similarity Learning.

Mengting Zhan, Shilei Cao, Buyue Qian, Shiyu Chang, Jishang Wei

Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Robust Convex Clustering Analysis.

Qi Wang, Pinghua Gong, Shiyu Chang, Thomas S. Huang, Jiayu Zhou

Proceedings of the IEEE 16th International Conference on Data Mining, 2016

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

Zhangyang Wang, Ding Liu, Shiyu Chang, Qing Ling, Yingzhen Yang, Thomas S. Huang

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Studying Very Low Resolution Recognition Using Deep Networks.

Zhangyang Wang, Shiyu Chang, Yingzhen Yang, Ding Liu, Thomas S. Huang

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Epitomic Image Super-Resolution.

Yingzhen Yang, Zhangyang Wang, Zhaowen Wang, Shiyu Chang, Ding Liu, Honghui Shi, Thomas S. Huang

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Learning Super-Resolution Jointly From External and Internal Examples.

Zhangyang Wang, Yingzhen Yang, Zhaowen Wang, Shiyu Chang, Jianchao Yang, Thomas S. Huang

IEEE Trans. Image Process., 2015

Decentralized Recommender Systems.

Zhangyang Wang, Xianming Liu, Shiyu Chang, Jiayu Zhou, Guo-Jun Qi, Thomas S. Huang

CoRR, 2015

Learning A Task-Specific Deep Architecture For Clustering.

Zhangyang Wang, Shiyu Chang, Jiayu Zhou, Thomas S. Huang

CoRR, 2015

Negative Link Prediction in Social Media.

Jiliang Tang, Shiyu Chang, Charu C. Aggarwal, Huan Liu

Proceedings of the Eighth ACM International Conference on Web Search and Data Mining, 2015

Scalable Similarity Learning Using Large Margin Neighborhood Embedding.

Zhaowen Wang, Jianchao Yang, Zhe L. Lin, Jonathan Brandt, Shiyu Chang, Thomas S. Huang

Proceedings of the 2015 IEEE Winter Conference on Applications of Computer Vision, 2015

Heterogeneous Network Embedding via Deep Architectures.

Shiyu Chang, Wei Han, Jiliang Tang, Guo-Jun Qi, Charu C. Aggarwal, Thomas S. Huang

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.

Zhangyang Wang, Yingzhen Yang, Shiyu Chang, Jinyan Li, Simon Fong, Thomas S. Huang

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

A Space Alignment Method for Cold-Start TV Show Recommendations.

Shiyu Chang, Jiayu Zhou, Pirooz Chubak, Junling Hu, Thomas S. Huang

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Self-tuned deep super resolution.

Zhangyang Wang, Yingzhen Yang, Zhaowen Wang, Shiyu Chang, Wei Han, Jianchao Yang, Thomas S. Huang

Proceedings of the 2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2015

2014

Blind Image Deblurring Using Spectral Properties of Convolution Operators.

Guangcan Liu, Shiyu Chang, Yi Ma

IEEE Trans. Image Process., 2014

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

Zhangyang Wang, Zhaowen Wang, Shiyu Chang, Jianchao Yang, Thomas S. Huang

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2014

Collaborative Recommendation of Photo-Taking Geolocations.

Thomas Phan, Jiayu Zhou, Shiyu Chang, Junling Hu, Juhan Lee

Proceedings of the 3rd ACM Multimedia Workshop on Geotagging and Its Applications in Multimedia, 2014

Factorized Similarity Learning in Networks.

Shiyu Chang, Guo-Jun Qi, Charu C. Aggarwal, Jiayu Zhou, Meng Wang, Thomas S. Huang

Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

Learning Local Semantic Distances with Limited Supervision.

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

Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

Data Clustering by Laplacian Regularized L1-Graph.

Yingzhen Yang, Zhangyang Wang, Jianchao Yang, Jiangping Wang, Shiyu Chang, Thomas S. Huang

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

Multimedia Classification.

Shiyu Chang, Wei Han, Xianming Liu, Ning Xu, Pooya Khorrami, Thomas S. Huang

Proceedings of the Data Classification: Algorithms and Applications, 2014

2013

Multimedia LEGO: Learning Structured Model by Probabilistic Logic Ontology Tree.

Shiyu Chang, Guo-Jun Qi, Jinhui Tang, Qi Tian, Yong Rui, Thomas S. Huang

Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

Learning Locally-Adaptive Decision Functions for Person Verification.

Zhen Li, Shiyu Chang, Feng Liang, Thomas S. Huang, Liangliang Cao, John R. Smith

Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

Localizing Web Videos from Heterogeneous Images.

Xianming Liu, Yue Gao, Rongrong Ji, Shiyu Chang, Thomas S. Huang

Proceedings of the Late-Breaking Developments in the Field of Artificial Intelligence, 2013

Clustering Multimedia Data.

Shen-Fu Tsai, Guo-Jun Qi, Shiyu Chang, Min-Hsuan Tsai, Thomas S. Huang

Proceedings of the Data Clustering: Algorithms and Applications, 2013

2012

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

Zhen Li, Liangliang Cao, Shiyu Chang, John R. Smith, Thomas S. Huang

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.

Guo-Jun Qi, Charu C. Aggarwal, Yong Rui, Qi Tian, Shiyu Chang, Thomas S. Huang

Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011