Towards cross-category knowledge propagation for learning visual concepts. - Guo-Jun Qi; Charu C. Aggarwal; Yong Rui; Qi Tian 001; Shiyu Chang; Thomas S. Huang (CVPR, 2011)

Beyond Mahalanobis distance: Learning second-order discriminant function for people verification. - Zhen Li 028; Liangliang Cao; Shiyu Chang; John R. Smith; Thomas S. Huang (CVPR Workshops, 2012)

Clustering Multimedia Data. - Shen-Fu Tsai; Guo-Jun Qi; Shiyu Chang; Min-Hsuan Tsai; Thomas S. Huang (Data Clustering: Algorithms and Applications, 2013)

Localizing Web Videos from Heterogeneous Images. - Xianming Liu; Yue Gao 002; Rongrong Ji; Shiyu Chang; Thomas S. Huang (AAAI (Late-Breaking Developments), 2013)

Learning Locally-Adaptive Decision Functions for Person Verification. - Zhen Li 028; Shiyu Chang; Feng Liang 002; Thomas S. Huang; Liangliang Cao; John R. Smith (CVPR, 2013)

Multimedia LEGO: Learning Structured Model by Probabilistic Logic Ontology Tree. - Shiyu Chang; Guo-Jun Qi; Jinhui Tang 001; Qi Tian 001; Yong Rui; Thomas S. Huang (ICDM, 2013)

Multimedia Classification. - Shiyu Chang; Wei Han 002; Xianming Liu; Ning Xu 001; Pooya Khorrami; Thomas S. Huang (Data Classification: Algorithms and Applications, 2014)

Data Clustering by Laplacian Regularized L1-Graph. - Yingzhen Yang; Zhangyang Wang; Jianchao Yang; Jiangping Wang; Shiyu Chang; Thomas S. Huang (AAAI, 2014)

Learning Local Semantic Distances with Limited Supervision. - Shiyu Chang; Charu C. Aggarwal; Thomas S. Huang (ICDM, 2014)

Factorized Similarity Learning in Networks. - Shiyu Chang; Guo-Jun Qi; Charu C. Aggarwal; Jiayu Zhou; Meng Wang 001; Thomas S. Huang (ICDM, 2014)

Collaborative Recommendation of Photo-Taking Geolocations. - Thomas Phan; Jiayu Zhou; Shiyu Chang; Junling Hu; Juhan Lee (GeoMM, 2014)

A joint perspective towards image super-resolution: Unifying external- and self-examples. - Zhangyang Wang; Zhaowen Wang; Shiyu Chang; Jianchao Yang; Thomas S. Huang (WACV, 2014)

Blind Image Deblurring Using Spectral Properties of Convolution Operators. - Guangcan Liu; Shiyu Chang; Yi Ma 001 (IEEE Trans. Image Process., 2014)

Self-tuned deep super resolution. - Zhangyang Wang; Yingzhen Yang; Zhaowen Wang; Shiyu Chang; Wei Han 002; Jianchao Yang; Thomas S. Huang (CVPR Workshops, 2015)

A Space Alignment Method for Cold-Start TV Show Recommendations. - Shiyu Chang; Jiayu Zhou; Pirooz Chubak; Junling Hu; Thomas S. Huang (IJCAI, 2015)

A Joint Optimization Framework of Sparse Coding and Discriminative Clustering. - Zhangyang Wang; Yingzhen Yang; Shiyu Chang; Jinyan Li 002; Simon Fong 001; Thomas S. Huang (IJCAI, 2015)

Heterogeneous Network Embedding via Deep Architectures. - Shiyu Chang; Wei Han 002; Jiliang Tang; Guo-Jun Qi; Charu C. Aggarwal; Thomas S. Huang (KDD, 2015)

Scalable Similarity Learning Using Large Margin Neighborhood Embedding. - Zhaowen Wang; Jianchao Yang; Zhe Lin 001; Jonathan Brandt; Shiyu Chang; Thomas S. Huang (WACV, 2015)

Negative Link Prediction in Social Media. - Jiliang Tang; Shiyu Chang; Charu C. Aggarwal; Huan Liu 001 (WSDM, 2015)

Learning A Task-Specific Deep Architecture For Clustering. - Zhangyang Wang; Shiyu Chang; Jiayu Zhou; Thomas S. Huang (CoRR, 2015)

Decentralized Recommender Systems. - Zhangyang Wang; Xianming Liu; Shiyu Chang; Jiayu Zhou; Guo-Jun Qi; Thomas S. Huang (CoRR, 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)

Epitomic Image Super-Resolution. - Yingzhen Yang; Zhangyang Wang; Zhaowen Wang; Shiyu Chang; Ding Liu 001; Honghui Shi; Thomas S. Huang (AAAI, 2016)

Studying Very Low Resolution Recognition Using Deep Networks. - Zhangyang Wang; Shiyu Chang; Yingzhen Yang; Ding Liu 001; Thomas S. Huang (CVPR, 2016)

D3: Deep Dual-Domain Based Fast Restoration of JPEG-Compressed Images. - Zhangyang Wang; Ding Liu 001; Shiyu Chang; Qing Ling 001; Yingzhen Yang; Thomas S. Huang (CVPR, 2016)

Robust Convex Clustering Analysis. - Qi Wang; Pinghua Gong; Shiyu Chang; Thomas S. Huang; Jiayu Zhou (ICDM, 2016)

Low-Rank Sparse Feature Selection for Patient Similarity Learning. - Mengting Zhan; Shilei Cao 001; Buyue Qian; Shiyu Chang; Jishang Wei (ICDM, 2016)

Learning A Deep ℓ∞ Encoder for Hashing. - Zhangyang Wang; Yingzhen Yang; Shiyu Chang; Qing Ling 001; Thomas S. Huang (IJCAI, 2016)

Positive-Unlabeled Learning in Streaming Networks. - Shiyu Chang; Yang Zhang 001; Jiliang Tang; Dawei Yin; Yi Chang 001; Mark A. Hasegawa-Johnson; Thomas S. Huang (KDD, 2016)

Learning A Task-Specific Deep Architecture For Clustering. - Zhangyang Wang; Shiyu Chang; Jiayu Zhou; Meng Wang 001; Thomas S. Huang (SDM, 2016)

Fast Wavenet Generation Algorithm. - Tom Le Paine; Pooya Khorrami; Shiyu Chang; Yang Zhang 001; Prajit Ramachandran; Mark A. Hasegawa-Johnson; 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)

$ mathbf{D^3}$: Deep Dual-Domain Based Fast Restoration of JPEG-Compressed Images. - Zhangyang Wang; Ding Liu 001; Shiyu Chang; Qing Ling 001; Thomas S. Huang (CoRR, 2016)

Large-scale supervised similarity learning in networks. - Shiyu Chang; Guo-Jun Qi; Yingzhen Yang; Charu C. Aggarwal; Jiayu Zhou; Meng Wang 001; Thomas S. Huang (Knowl. Inf. Syst., 2016)

Similarity learning in the era of big data - Shiyu Chang (2016)

On the improvement of classifying EEG recordings using neural networks. - Yiran Zhao 001; Shuochao Yao; Shaohan Hu; Shiyu Chang; Raghu K. Ganti; Mudhakar Srivatsa; Shen Li 002; Tarek F. Abdelzaher (IEEE BigData, 2017)

Transformed Anti-Sparse Hashing. - Zhangyang Wang; Ji Liu 002; Shuai Huang 001; Xinchao Wang; Shiyu Chang (BMVC, 2017)

Robust Video Super-Resolution with Learned Temporal Dynamics. - Ding Liu 001; Zhaowen Wang; Yuchen Fan; Xianming Liu; Zhangyang Wang; Shiyu Chang; Thomas S. Huang (ICCV, 2017)

Jointly Attentive Spatial-Temporal Pooling Networks for Video-Based Person Re-identification. - Shuangjie Xu; Yu Cheng 001; Kang Gu; Yang Yang 002; Shiyu Chang; Pan Zhou 001 (ICCV, 2017)

Fast Generation for Convolutional Autoregressive Models. - Prajit Ramachandran; Tom Le Paine; Pooya Khorrami; Mohammad Babaeizadeh; Shiyu Chang; Yang Zhang 001; Mark A. Hasegawa-Johnson; Roy H. Campbell; Thomas S. Huang (ICLR (Workshop), 2017)

Image aesthetics assessment using Deep Chatterjee's machine. - Zhangyang Wang; Ding Liu 001; Shiyu Chang; Florin Dolcos; Diane M. Beck; Thomas S. Huang (IJCNN, 2017)

Speech Enhancement Using Bayesian Wavenet. - Kaizhi Qian; Yang Zhang 001; Shiyu Chang; Xuesong Yang; Dinei Florêncio; Mark Hasegawa-Johnson (INTERSPEECH, 2017)

Dilated Recurrent Neural Networks. - Shiyu Chang; Yang Zhang 001; Wei Han 002; Mo Yu; Xiaoxiao Guo; Wei Tan 001; Xiaodong Cui; Michael Witbrock; Mark A. Hasegawa-Johnson; Thomas S. Huang (NIPS, 2017)

Streaming Recommender Systems. - Shiyu Chang; Yang Zhang 001; Jiliang Tang; Dawei Yin; Yi Chang 001; Mark A. Hasegawa-Johnson; Thomas S. Huang (WWW, 2017)

Robust Task Clustering for Deep Many-Task Learning. - Mo Yu; Xiaoxiao Guo; Jinfeng Yi; Shiyu Chang; Saloni Potdar; Gerald Tesauro; Haoyu Wang 002; Bowen Zhou (CoRR, 2017)

R3: Reinforced Reader-Ranker for Open-Domain Question Answering. - Shuohang Wang; Mo Yu; Xiaoxiao Guo; Zhiguo Wang; Tim Klinger; Wei Zhang 057; Shiyu Chang; Gerald Tesauro; Bowen Zhou 002; Jing Jiang 001 (CoRR, 2017)

Unsupervised Sequential Outlier Detection With Deep Architectures. - Weining Lu; Yu Cheng 001; Cao Xiao; Shiyu Chang; Shuai Huang 001; Bin Liang 001; Thomas S. Huang (IEEE Trans. Image Process., 2017)

LEGO-MM: LEarning Structured Model by Probabilistic loGic Ontology Tree for MultiMedia. - Jinhui Tang 001; Shiyu Chang; Guo-Jun Qi; Qi Tian 001; Yong Rui; Thomas S. Huang (IEEE Trans. Image Process., 2017)

Greedy Batch-Based Minimum-Cost Flows for Tracking Multiple Objects. - Xinchao Wang; Bin Fan 001; Shiyu Chang; Zhangyang Wang; Xianming Liu; Dacheng Tao; Thomas S. Huang (IEEE Trans. Image Process., 2017)

R3: Reinforced Ranker-Reader for Open-Domain Question Answering. - Shuohang Wang; Mo Yu; Xiaoxiao Guo; Zhiguo Wang; Tim Klinger; Wei Zhang 057; Shiyu Chang; Gerry Tesauro; Bowen Zhou 002; Jing Jiang 001 (AAAI, 2018)

A Co-Matching Model for Multi-choice Reading Comprehension. - Shuohang Wang; Mo Yu; Jing Jiang 001; Shiyu Chang (ACL (2), 2018)

Image Super-Resolution via Dual-State Recurrent Networks. - Wei Han 002; Shiyu Chang; Ding Liu 001; Mo Yu; Michael Witbrock; Thomas S. Huang (CVPR, 2018)

Deriving Machine Attention from Human Rationales. - Yujia Bao; Shiyu Chang; Mo Yu; Regina Barzilay (EMNLP, 2018)

Improving Reinforcement Learning Based Image Captioning with Natural Language Prior. - Tszhang Guo; Shiyu Chang; Mo Yu; Kun Bai (EMNLP, 2018)

One-Shot Relational Learning for Knowledge Graphs. - Wenhan Xiong; Mo Yu; Shiyu Chang; Xiaoxiao Guo; William Yang Wang (EMNLP, 2018)

Deep Learning Based Speech Beamforming. - Kaizhi Qian; Yang Zhang 001; Shiyu Chang; Xuesong Yang; Dinei A. F. Florêncio; Mark Hasegawa-Johnson (ICASSP, 2018)

Evidence Aggregation for Answer Re-Ranking in Open-Domain Question Answering. - Shuohang Wang; Mo Yu; Jing Jiang 001; Wei Zhang 057; Xiaoxiao Guo; Shiyu Chang; Zhiguo Wang; Tim Klinger; Gerald Tesauro; Murray Campbell (ICLR (Poster), 2018)

Matrix Factorization on GPUs with Memory Optimization and Approximate Computing. - Wei Tan 001; Shiyu Chang; Liana Fong; Cheng Li; Zijun Wang; Liangliang Cao (ICPP, 2018)

Scheduled Policy Optimization for Natural Language Communication with Intelligent Agents. - Wenhan Xiong; Xiaoxiao Guo; Mo Yu; Shiyu Chang; Bowen Zhou; William Yang Wang (IJCAI, 2018)

Diverse Few-Shot Text Classification with Multiple Metrics. - Mo Yu; Xiaoxiao Guo; Jinfeng Yi; Shiyu Chang; Saloni Potdar; Yu Cheng 001; Gerald Tesauro; Haoyu Wang 002; Bowen Zhou (NAACL-HLT, 2018)

Zeroth-Order Stochastic Variance Reduction for Nonconvex Optimization. - Sijia Liu 001; Bhavya Kailkhura; Pin-Yu Chen; Pai-Shun Ting; Shiyu Chang; Lisa Amini (NeurIPS, 2018)

Co-Regularized Deep Multi-Network Embedding. - Jingchao Ni; Shiyu Chang; Xiao Liu 039; Wei Cheng 002; Haifeng Chen; Dongkuan Xu; Xiang Zhang 001 (WWW, 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)

Learning Temporal Dynamics for Video Super-Resolution: A Deep Learning Approach. - Ding Liu 001; Zhaowen Wang; Yuchen Fan; Xianming Liu; Zhangyang Wang; Shiyu Chang; Xinchao Wang; Thomas S. Huang (IEEE Trans. Image Process., 2018)

Hybrid Reinforcement Learning with Expert State Sequences. - Xiaoxiao Guo; Shiyu Chang; Mo Yu; Gerald Tesauro; Murray Campbell (AAAI, 2019)

Simple yet Effective Bridge Reasoning for Open-Domain Multi-Hop Question Answering. - Wenhan Xiong; Mo Yu; Xiaoxiao Guo; Hong Wang 023; Shiyu Chang; Murray Campbell; William Yang Wang (MRQA@EMNLP, 2019)

Extracting Multiple-Relations in One-Pass with Pre-Trained Transformers. - Haoyu Wang 002; Ming Tan; Mo Yu; Shiyu Chang; Dakuo Wang; Kun Xu; Xiaoxiao Guo; Saloni Potdar (ACL (1), 2019)

Self-Supervised Learning for Contextualized Extractive Summarization. - Hong Wang 023; Xin Wang 061; Wenhan Xiong; Mo Yu; Xiaoxiao Guo; Shiyu Chang; William Yang Wang (ACL (1), 2019)

TWEETQA: A Social Media Focused Question Answering Dataset. - Wenhan Xiong; Jiawei Wu 003; Hong Wang 023; Vivek Kulkarni; Mo Yu; Shiyu Chang; Xiaoxiao Guo; William Yang Wang (ACL (1), 2019)

Improving Question Answering over Incomplete KBs with Knowledge-Aware Reader. - Wenhan Xiong; Mo Yu; Shiyu Chang; Xiaoxiao Guo; William Yang Wang (ACL (1), 2019)

Selection Bias Explorations and Debias Methods for Natural Language Sentence Matching Datasets. - Guanhua Zhang; Bing Bai; Jian Liang 002; Kun Bai; Shiyu Chang; Mo Yu; Conghui Zhu; Tiejun Zhao (ACL (1), 2019)

Additive Adversarial Learning for Unbiased Authentication. - Jian Liang 002; Yuren Cao; Chenbin Zhang; Shiyu Chang; Kun Bai; Zenglin Xu (CVPR, 2019)

Context-Aware Conversation Thread Detection in Multi-Party Chat. - Ming Tan; Dakuo Wang; Yupeng Gao; Haoyu Wang 002; Saloni Potdar; Xiaoxiao Guo; Shiyu Chang; Mo Yu (EMNLP/IJCNLP (1), 2019)

Out-of-Domain Detection for Low-Resource Text Classification Tasks. - Ming Tan; Yang Yu 029; Haoyu Wang 002; Dakuo Wang; Saloni Potdar; Shiyu Chang; Mo Yu (EMNLP/IJCNLP (1), 2019)

Rethinking Cooperative Rationalization: Introspective Extraction and Complement Control. - Mo Yu; Shiyu Chang; Yang Zhang 001; Tommi S. Jaakkola (EMNLP/IJCNLP (1), 2019)

AutoGAN: Neural Architecture Search for Generative Adversarial Networks. - Xinyu Gong; Shiyu Chang; Yifan Jiang 001; Zhangyang Wang (ICCV, 2019)

AutoVC: Zero-Shot Voice Style Transfer with Only Autoencoder Loss. - Kaizhi Qian; Yang Zhang 001; Shiyu Chang; Xuesong Yang; Mark Hasegawa-Johnson (ICML, 2019)

Coupled Variational Recurrent Collaborative Filtering. - Qingquan Song; Shiyu Chang; Xia Hu 001 (KDD, 2019)

Sentence Embedding Alignment for Lifelong Relation Extraction. - Hong Wang 023; Wenhan Xiong; Mo Yu; Xiaoxiao Guo; Shiyu Chang; William Yang Wang (NAACL-HLT (1), 2019)

Imposing Label-Relational Inductive Bias for Extremely Fine-Grained Entity Typing. - Wenhan Xiong; Jiawei Wu 003; Deren Lei; Mo Yu; Shiyu Chang; Xiaoxiao Guo; William Yang Wang (NAACL-HLT (1), 2019)

A Game Theoretic Approach to Class-wise Selective Rationalization. - Shiyu Chang; Yang Zhang 001; Mo Yu; Tommi S. Jaakkola (NeurIPS, 2019)

Tight Certificates of Adversarial Robustness for Randomly Smoothed Classifiers. - Guang-He Lee; Yang Yuan; Shiyu Chang; Tommi S. Jaakkola (NeurIPS, 2019)

Zero-Shot Voice Style Transfer with Only Autoencoder Loss. - Kaizhi Qian; Yang Zhang 001; Shiyu Chang; Xuesong Yang; Mark Hasegawa-Johnson (CoRR, 2019)

Coupled Variational Recurrent Collaborative Filtering. - Qingquan Song; Shiyu Chang; Xia Hu (CoRR, 2019)

A Stratified Approach to Robustness for Randomly Smoothed Classifiers. - Guang-He Lee; Yang Yuan; Shiyu Chang; Tommi S. Jaakkola (CoRR, 2019)

Meta Reasoning over Knowledge Graphs. - Hong Wang 023; Wenhan Xiong; Mo Yu; Xiaoxiao Guo; Shiyu Chang; William Yang Wang (CoRR, 2019)

An Efficient and Margin-Approaching Zero-Confidence Adversarial Attack. - Yang Zhang 001; Shiyu Chang; Mo Yu; Kaizhi Qian (CoRR, 2019)

Adversarial Robustness: From Self-Supervised Pre-Training to Fine-Tuning. - Tianlong Chen 001; Sijia Liu 001; Shiyu Chang; Yu Cheng 001; Lisa Amini; Zhangyang Wang (CVPR, 2020)

Interactive Fiction Game Playing as Multi-Paragraph Reading Comprehension with Reinforcement Learning. - Xiaoxiao Guo; Mo Yu; Yupeng Gao; Chuang Gan 001; Murray Campbell; Shiyu Chang (EMNLP (1), 2020)

Few-shot Text Classification with Distributional Signatures. - Yujia Bao; Menghua Wu; Shiyu Chang; Regina Barzilay (ICLR, 2020)

Proper Network Interpretability Helps Adversarial Robustness in Classification. - Akhilan Boopathy; Sijia Liu 001; Gaoyuan Zhang; Cynthia Liu; Pin-Yu Chen; Shiyu Chang; Luca Daniel (ICML, 2020)

Invariant Rationalization. - Shiyu Chang; Yang Zhang 001; Mo Yu; Tommi S. Jaakkola (ICML, 2020)

Unsupervised Speech Decomposition via Triple Information Bottleneck. - Kaizhi Qian; Yang Zhang 001; Shiyu Chang; Mark Hasegawa-Johnson; David D. Cox (ICML, 2020)

The Lottery Ticket Hypothesis for Pre-trained BERT Networks. - Tianlong Chen 001; Jonathan Frankle; Shiyu Chang; Sijia Liu 001; Yang Zhang 001; Zhangyang Wang; Michael Carbin (NeurIPS, 2020)

Training Stronger Baselines for Learning to Optimize. - Tianlong Chen 001; Weiyi Zhang; Jingyang Zhou; Shiyu Chang; Sijia Liu 001; Lisa Amini; Zhangyang Wang (NeurIPS, 2020)

Learning to Recover Reasoning Chains for Multi-Hop Question Answering via Cooperative Games. - Yufei Feng; Mo Yu; Wenhan Xiong; Xiaoxiao Guo; Junjie Huang 008; Shiyu Chang; Murray Campbell; Michael A. Greenspan; Xiaodan Zhu 001 (CoRR, 2020)

Can 3D Adversarial Logos Cloak Humans? - Tianlong Chen 001; Yi Wang 076; Jingyang Zhou; Sijia Liu 001; Shiyu Chang; Chandrajit Bajaj; Zhangyang Wang (CoRR, 2020)

Lifelong Object Detection. - Wang Zhou; Shiyu Chang; Norma E. Sosa; Hendrik F. Hamann; David D. Cox (CoRR, 2020)

Self-Progressing Robust Training. - Minhao Cheng; Pin-Yu Chen; Sijia Liu 001; Shiyu Chang; Cho-Jui Hsieh; Payel Das (AAAI, 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 008; Shiyu Chang; Murray Campbell; Michael A. Greenspan; Xiaodan Zhu 001 (Canadian AI, 2021)

The Lottery Tickets Hypothesis for Supervised and Self-Supervised Pre-Training in Computer Vision Models. - Tianlong Chen 001; Jonathan Frankle; Shiyu Chang; Sijia Liu 001; Yang Zhang 001; Michael Carbin; Zhangyang Wang (CVPR, 2021)

Complementary Evidence Identification in Open-Domain Question Answering. - Xiangyang Mou; Mo Yu; Shiyu Chang; Yufei Feng; Li Zhang; Hui Su (EACL, 2021)

Continuous Cnn For Nonuniform Time Series. - Hui Shi; Yang Zhang 001; Hao Wu; Shiyu Chang; Kaizhi Qian; Mark Hasegawa-Johnson; Jishen Zhao (ICASSP, 2021)

Robust Overfitting may be mitigated by properly learned smoothening. - Tianlong Chen 001; Zhenyu Zhang 015; Sijia Liu 001; Shiyu Chang; Zhangyang Wang (ICLR, 2021)

Long Live the Lottery: The Existence of Winning Tickets in Lifelong Learning. - Tianlong Chen 001; Zhenyu Zhang 015; Sijia Liu 001; Shiyu Chang; Zhangyang Wang (ICLR, 2021)

Generating Adversarial Computer Programs using Optimized Obfuscations. - Shashank Srikant; Sijia Liu 001; Tamara Mitrovska; Shiyu Chang; Quanfu Fan; Gaoyuan Zhang; Una-May O'Reilly (ICLR, 2021)

Predict then Interpolate: A Simple Algorithm to Learn Stable Classifiers. - Yujia Bao; Shiyu Chang; Regina Barzilay (ICML, 2021)

Global Prosody Style Transfer Without Text Transcriptions. - Kaizhi Qian; Yang Zhang 001; Shiyu Chang; Jinjun Xiong; Chuang Gan 001; David D. Cox; Mark Hasegawa-Johnson (ICML, 2021)

Zero-Shot Cross-Lingual Phonetic Recognition with External Language Embedding. - Heting Gao; Junrui Ni; Yang Zhang 001; Kaizhi Qian; Shiyu Chang; Mark Hasegawa-Johnson (Interspeech, 2021)

TransGAN: Two Pure Transformers Can Make One Strong GAN, and That Can Scale Up. - Yifan Jiang 001; Shiyu Chang; Zhangyang Wang (NeurIPS, 2021)

PARP: Prune, Adjust and Re-Prune for Self-Supervised Speech Recognition. - Cheng-I Jeff Lai; Yang Zhang 001; Alexander H. Liu; Shiyu Chang; Yi-Lun Liao; Yung-Sung Chuang; Kaizhi Qian; Sameer Khurana; David D. Cox; James R. Glass (NeurIPS, 2021)

Understanding Interlocking Dynamics of Cooperative Rationalization. - Mo Yu; Yang Zhang 001; Shiyu Chang; Tommi S. Jaakkola (NeurIPS, 2021)

TransGAN: Two Transformers Can Make One Strong GAN. - Yifan Jiang 001; Shiyu Chang; Zhangyang Wang (CoRR, 2021)

Global Rhythm Style Transfer Without Text Transcriptions. - Kaizhi Qian; Yang Zhang 001; Shiyu Chang; Jinjun Xiong; Chuang Gan 001; David D. Cox; Mark Hasegawa-Johnson (CoRR, 2021)

An Adversarial Framework for Generating Unseen Images by Activation Maximization. - Yang Zhang 001; Wang Zhou; Gaoyuan Zhang; David D. Cox; Shiyu Chang (AAAI, 2022)

Query and Extract: Refining Event Extraction as Type-oriented Binary Decoding. - Sijia Wang; Mo Yu; Shiyu Chang; Lichao Sun 001; Lifu Huang (ACL (Findings), 2022)

Temporal Frame Filtering with Near-Pixel Compute for Autonomous Driving. - Wantong Li; Qiucheng Wu; Janak Sharda; Shiyu Chang; Shimeng Yu (AICAS, 2022)

Incremental Prompting: Episodic Memory Prompt for Lifelong Event Detection. - Minqian Liu; Shiyu Chang; Lifu Huang (COLING, 2022)

Quarantine: Sparsity Can Uncover the Trojan Attack Trigger for Free. - Tianlong Chen 001; Zhenyu Zhang 015; Yihua Zhang; Shiyu Chang; Sijia Liu 001; Zhangyang Wang (CVPR, 2022)

On the Interplay between Sparsity, Naturalness, Intelligibility, and Prosody in Speech Synthesis. - Cheng-I Jeff Lai; Erica Cooper; Yang Zhang 001; Shiyu Chang; Kaizhi Qian; Yi-Lun Liao; Yung-Sung Chuang; Alexander H. Liu; Junichi Yamagishi; David D. Cox; James R. Glass (ICASSP, 2022)

Optimizer Amalgamation. - Tianshu Huang; Tianlong Chen 001; Sijia Liu 001; Shiyu Chang; Lisa Amini; Zhangyang Wang (ICLR, 2022)

Adversarial Support Alignment. - Shangyuan Tong; Timur Garipov; Yang Zhang 001; Shiyu Chang; Tommi S. Jaakkola (ICLR, 2022)

How to Robustify Black-Box ML Models? A Zeroth-Order Optimization Perspective. - Yimeng Zhang; Yuguang Yao; Jinghan Jia; Jinfeng Yi; Mingyi Hong 001; Shiyu Chang; Sijia Liu 001 (ICLR, 2022)

Learning Stable Classifiers by Transferring Unstable Features. - Yujia Bao; Shiyu Chang; Regina Barzilay (ICML, 2022)

Data-Efficient Double-Win Lottery Tickets from Robust Pre-training. - Tianlong Chen 001; Zhenyu Zhang 015; Sijia Liu 001; Yang Zhang 001; Shiyu Chang; Zhangyang Wang (ICML, 2022)

Linearity Grafting: Relaxed Neuron Pruning Helps Certifiable Robustness. - Tianlong Chen 001; Huan Zhang 001; Zhenyu Zhang 015; Shiyu Chang; Sijia Liu 001; Pin-Yu Chen; Zhangyang Wang (ICML, 2022)

ContentVec: An Improved Self-Supervised Speech Representation by Disentangling Speakers. - Kaizhi Qian; Yang Zhang 001; Heting Gao; Junrui Ni; Cheng-I Lai; David D. Cox; Mark Hasegawa-Johnson; Shiyu Chang (ICML, 2022)

Revisiting and Advancing Fast Adversarial Training Through The Lens of Bi-Level Optimization. - Yihua Zhang; Guanhua Zhang; Prashant Khanduri; Mingyi Hong 001; Shiyu Chang; Sijia Liu 001 (ICML, 2022)

WavPrompt: Towards Few-Shot Spoken Language Understanding with Frozen Language Models. - Heting Gao; Junrui Ni; Kaizhi Qian; Yang Zhang 001; Shiyu Chang; Mark Hasegawa-Johnson (INTERSPEECH, 2022)

Unsupervised Text-to-Speech Synthesis by Unsupervised Automatic Speech Recognition. - Junrui Ni; Liming Wang 003; Heting Gao; Kaizhi Qian; Yang Zhang 001; Shiyu Chang; Mark Hasegawa-Johnson (INTERSPEECH, 2022)

DiffCSE: Difference-based Contrastive Learning for Sentence Embeddings. - Yung-Sung Chuang; Rumen Dangovski; Hongyin Luo; Yang Zhang 001; Shiyu Chang; Marin Soljacic; Shang-Wen Li 001; Scott Yih; Yoon Kim; James R. Glass (NAACL-HLT, 2022)

Fairness Reprogramming. - Guanhua Zhang; Yihua Zhang; Yang Zhang 001; Wenqi Fan; Qing Li 001; Sijia Liu 001; Shiyu Chang (NeurIPS, 2022)

Improving Self-Supervised Speech Representations by Disentangling Speakers. - Kaizhi Qian; Yang Zhang 001; Heting Gao; Junrui Ni; Cheng-I Lai; David D. Cox; Mark Hasegawa-Johnson; Shiyu Chang (CoRR, 2022)

Grasping the Arrow of Time from the Singularity: Decoding Micromotion in Low-dimensional Latent Spaces from StyleGAN. - Qiucheng Wu; Yifan Jiang 001; Junru Wu; Kai Wang 058; Gong Zhang 011; Humphrey Shi; Zhangyang Wang; Shiyu Chang (CoRR, 2022)

Domain Generalization for Language-Independent Automatic Speech Recognition. - Heting Gao; Junrui Ni; Yang Zhang 001; Kaizhi Qian; Shiyu Chang; Mark Hasegawa-Johnson (Frontiers Artif. Intell., 2022)

Queried Unlabeled Data Improves and Robustifies Class-Incremental Learning. - Tianlong Chen 001; Sijia Liu 001; Shiyu Chang; Lisa Amini; Zhangyang Wang (Trans. Mach. Learn. Res., 2022)

Can You Win Everything with A Lottery Ticket? - Tianlong Chen 001; Zhenyu Zhang 015; Jun Wu; Randy Huang; Sijia Liu 001; Shiyu Chang; Zhangyang Wang (Trans. Mach. Learn. Res., 2022)

Data-Model-Circuit Tri-Design for Ultra-Light Video Intelligence on Edge Devices. - Yimeng Zhang; Akshay Karkal Kamath; Qiucheng Wu; Zhiwen Fan; Wuyang Chen 001; Zhangyang Wang; Shiyu Chang; Sijia Liu 001; Cong Hao (ASP-DAC, 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 001; Karen Livescu; et al. (ASRU, 2023)

Uncovering the Disentanglement Capability in Text-to-Image Diffusion Models. - Qiucheng Wu; Yujian Liu; Handong Zhao; Ajinkya Kale; Trung Bui; Tong Yu 001; Zhe Lin 001; Yang Zhang 001; Shiyu Chang (CVPR, 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 001; Yang Zhang 001; Shiyu Chang (ICCV, 2023)

Robust Mixture-of-Expert Training for Convolutional Neural Networks. - Yihua Zhang; Ruisi Cai; Tianlong Chen 001; Guanhua Zhang; Huan Zhang 001; Pin-Yu Chen; Shiyu Chang; Zhangyang Wang; Sijia Liu 001 (ICCV, 2023)

TextGrad: Advancing Robustness Evaluation in NLP by Gradient-Driven Optimization. - Bairu Hou; Jinghan Jia; Yihua Zhang; Guanhua Zhang; Yang Zhang 001; Sijia Liu 001; Shiyu Chang (ICLR, 2023)

PromptBoosting: Black-Box Text Classification with Ten Forward Passes. - Bairu Hou; Joe O'Connor; Jacob Andreas; Shiyu Chang; Yang Zhang 001 (ICML, 2023)

Towards Coherent Image Inpainting Using Denoising Diffusion Implicit Models. - Guanhua Zhang; Jiabao Ji; Yang Zhang 001; Mo Yu; Tommi S. Jaakkola; Shiyu Chang (ICML, 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 001; Shiyu Chang; Sijia Liu 001 (NeurIPS, 2023)

ClawSAT: Towards Both Robust and Accurate Code Models. - Jinghan Jia; Shashank Srikant; Tamara Mitrovska; Chuang Gan 001; Shiyu Chang; Sijia Liu 001; Una-May O'Reilly (SANER, 2023)

Users are the North Star for AI Transparency. - Alex Mei; Michael Saxon; Shiyu Chang; Zachary C. Lipton; William Yang Wang (CoRR, 2023)

Certified Robustness for Large Language Models with Self-Denoising. - Zhen Zhang; Guanhua Zhang; Bairu Hou; Wenqi Fan; Qing Li 001; Sijia Liu 001; Yang Zhang 001; Shiyu Chang (CoRR, 2023)

GDL-DS: A Benchmark for Geometric Deep Learning under Distribution Shifts. - Deyu Zou; Shikun Liu; Siqi Miao 001; Victor Fung; Shiyu Chang; Pan Li 005 (CoRR, 2023)

Broad Spectrum Image Deblurring via an Adaptive Super-Network. - Qiucheng Wu; Yifan Jiang 001; Junru Wu; Victor Kulikov; Vidit Goel; Nikita Orlov; Humphrey Shi; Zhangyang Wang; Shiyu Chang (IEEE Trans. Image Process., 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., 2023)

Decoding Micromotion in Low-dimensional Latent Spaces from StyleGAN. - Qiucheng Wu; Yifan Jiang 001; Junru Wu; Kai Wang 058; Eric J. Zhang; Humphrey Shi; Zhangyang Wang; Shiyu Chang (CPAL, 2024)

Correcting Diffusion Generation Through Resampling. - Yujian Liu; Yang Zhang 001; Tommi S. Jaakkola; Shiyu Chang (CVPR, 2024)

Revisiting Who's Harry Potter: Towards Targeted Unlearning from a Causal Intervention Perspective. - Yujian Liu; Yang Zhang 001; Tommi S. Jaakkola; Shiyu Chang (EMNLP, 2024)

Speech Self-Supervised Learning Using Diffusion Model Synthetic Data. - Heting Gao; Kaizhi Qian; Junrui Ni; Chuang Gan 001; Mark A. Hasegawa-Johnson; Shiyu Chang; Yang Zhang 001 (ICML, 2024)

Decomposing Uncertainty for Large Language Models through Input Clarification Ensembling. - Bairu Hou; Yujian Liu; Kaizhi Qian; Jacob Andreas; Shiyu Chang; Yang Zhang 001 (ICML, 2024)

Sparse Cocktail: Every Sparse Pattern Every Sparse Ratio All At Once. - Zhangheng Li; Shiwei Liu 003; Tianlong Chen 001; Ajay Kumar Jaiswal; Zhenyu Zhang 015; Dilin Wang; Raghuraman Krishnamoorthi; Shiyu Chang; Zhangyang Wang (ICML, 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 (MWSCAS, 2024)

Advancing the Robustness of Large Language Models through Self-Denoised Smoothing. - Jiabao Ji; Bairu Hou; Zhen Zhang; Guanhua Zhang; Wenqi Fan; Qing Li 001; Yang Zhang 001; Gaowen Liu; Sijia Liu 001; Shiyu Chang (NAACL (Short Papers), 2024)

Reversing the Forget-Retain Objectives: An Efficient LLM Unlearning Framework from Logit Difference. - Jiabao Ji; Yujian Liu; Yang Zhang 001; Gaowen Liu; Ramana Kompella; Sijia Liu 001; Shiyu Chang (NeurIPS, 2024)

GeSS: Benchmarking Geometric Deep Learning under Scientific Applications with Distribution Shifts. - Deyu Zou; Shikun Liu; Siqi Miao 001; Victor Fung; Shiyu Chang; Pan Li 005 (NeurIPS, 2024)

Augment before You Try: Knowledge-Enhanced Table Question Answering via Table Expansion. - Yujian Liu; Jiabao Ji; Tong Yu 001; Ryan A. Rossi; Sungchul Kim; Handong Zhao; Ritwik Sinha; Yang Zhang 001; 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 001; Eric Wong 001; Shiyu Chang (CoRR, 2024)

A Probabilistic Framework for LLM Hallucination Detection via Belief Tree Propagation. - Bairu Hou; Yang Zhang 001; Jacob Andreas; Shiyu Chang (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 001; Shiyu Chang (CoRR, 2024)

A Survey on Data Selection for Language Models. - Alon Albalak; Yanai Elazar; Sang Michael Xie; Shayne Longpre; Nathan Lambert 001; Xinyi Wang 003; Niklas Muennighoff; Bairu Hou; Liangming Pan; Haewon Jeong; Colin Raffel; Shiyu Chang; et al. (Trans. Mach. Learn. Res., 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)

Fictitious Synthetic Data Can Improve LLM Factuality via Prerequisite Learning. - Yujian Liu; Shiyu Chang; Tommi S. Jaakkola; Yang Zhang 001 (ICLR, 2025)

A Probabilistic Framework for LLM Hallucination Detection via Belief Tree Propagation. - Bairu Hou; Yang Zhang; Jacob Andreas; Shiyu Chang (NAACL (Long Papers), 2025)

Instruction-Following Pruning for Large Language Models. - Bairu Hou; Qibin Chen; Jianyu Wang; Guoli Yin; Chong Wang; Nan Du; Ruoming Pang; Shiyu Chang; Tao Lei (CoRR, 2025)

KVLink: Accelerating Large Language Models via Efficient KV Cache Reuse. - Jingbo Yang; Bairu Hou; Wei Wei 019; Yujia Bao; Shiyu Chang (CoRR, 2025)

ThinkPrune: Pruning Long Chain-of-Thought of LLMs via Reinforcement Learning. - Bairu Hou; Yang Zhang 001; Jiabao Ji; Yujian Liu; Kaizhi Qian; Jacob Andreas; Shiyu Chang (CoRR, 2025)

Defending LLM Watermarking Against Spoofing Attacks with Contrastive Representation Learning. - Li An; Yujian Liu; Yepeng Liu; Yang Zhang; Yuheng Bu; Shiyu Chang (CoRR, 2025)

Collision- and Reachability-Aware Multi-Robot Control with Grounded LLM Planners. - Jiabao Ji; Yongchao Chen; Yang Zhang 001; Ramana Rao Kompella; Chuchu Fan; Gaowen Liu; Shiyu Chang (CoRR, 2025)

A Hierarchical Probabilistic Framework for Incremental Knowledge Tracing in Classroom Settings. - Xinyi Gao; Qiucheng Wu; Yang Zhang; Xuechen Liu; Kaizhi Qian; Ying Xu; Shiyu Chang (CoRR, 2025)