Chang, Shiyu

76 publications

TMLR 2026 Learning from Online Videos at Inference Time for Computer-Use Agents Yujian Liu, Ze Wang, Hao Chen, Ximeng Sun, Xiaodong Yu, Jialian Wu, Jiang Liu, Emad Barsoum, Zicheng Liu, Shiyu Chang

TMLR 2026 ThinkPrune: Pruning Long Chain-of-Thought of LLMs via Reinforcement Learning Bairu Hou, Yang Zhang, Jiabao Ji, Yujian Liu, Kaizhi Qian, Jacob Andreas, Shiyu Chang

ICLR 2025 Fictitious Synthetic Data Can Improve LLM Factuality via Prerequisite Learning Yujian Liu, Shiyu Chang, Tommi Jaakkola, Yang Zhang

ICML 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

NeurIPS 2025 KVLink: Accelerating Large Language Models via Efficient KV Cache Reuse Jingbo Yang, Bairu Hou, Wei Wei, Yujia Bao, Shiyu Chang

ICCV 2025 VSP: Diagnosing the Dual Challenges of Perception and Reasoning in Spatial Planning Tasks for MLLMs Qiucheng Wu, Handong Zhao, Michael Saxon, Trung Bui, William Yang Wang, Yang Zhang, Shiyu Chang

TMLR 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

CVPR 2024 Correcting Diffusion Generation Through Resampling Yujian Liu, Yang Zhang, Tommi Jaakkola, Shiyu Chang

CPAL 2024 Decoding Micromotion in Low-Dimensional Latent Spaces from StyleGAN Qiucheng Wu, Yifan Jiang, Junru Wu, Kai Wang, Eric Zhang, Humphrey Shi, Zhangyang Wang, Shiyu Chang

ICML 2024 Decomposing Uncertainty for Large Language Models Through Input Clarification Ensembling Bairu Hou, Yujian Liu, Kaizhi Qian, Jacob Andreas, Shiyu Chang, Yang Zhang

NeurIPS 2024 GeSS: Benchmarking Geometric Deep Learning Under Scientific Applications with Distribution Shifts Deyu Zou, Shikun Liu, Siqi Miao, Victor Fung, Shiyu Chang, Pan Li

TMLR 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

NeurIPS 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

ICML 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

ICML 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

ICCV 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

ICML 2023 PromptBoosting: Black-Box Text Classification with Ten Forward Passes Bairu Hou, Joe O’Connor, Jacob Andreas, Shiyu Chang, Yang Zhang

ICCV 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

NeurIPS 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

ICLR 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

ICML 2023 Towards Coherent Image Inpainting Using Denoising Diffusion Implicit Models Guanhua Zhang, Jiabao Ji, Yang Zhang, Mo Yu, Tommi Jaakkola, Shiyu Chang

CVPR 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

ICLR 2022 Adversarial Support Alignment Shangyuan Tong, Timur Garipov, Yang Zhang, Shiyu Chang, Tommi S. Jaakkola

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

TMLR 2022 Can You Win Everything with a Lottery Ticket? Tianlong Chen, Zhenyu Zhang, Jun Wu, Randy Huang, Sijia Liu, Shiyu Chang, Zhangyang Wang

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

ICML 2022 Data-Efficient Double-Win Lottery Tickets from Robust Pre-Training Tianlong Chen, Zhenyu Zhang, Sijia Liu, Yang Zhang, Shiyu Chang, Zhangyang Wang

NeurIPS 2022 Fairness Reprogramming Guanhua Zhang, Yihua Zhang, Yang Zhang, Wenqi Fan, Qing Li, Sijia Liu, Shiyu Chang

ICLR 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

ICML 2022 Learning Stable Classifiers by Transferring Unstable Features Yujia Bao, Shiyu Chang, Dr.Regina Barzilay

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

ICLR 2022 Optimizer Amalgamation Tianshu Huang, Tianlong Chen, Sijia Liu, Shiyu Chang, Lisa Amini, Zhangyang Wang

CVPR 2022 Quarantine: Sparsity Can Uncover the Trojan Attack Trigger for Free Tianlong Chen, Zhenyu Zhang, Yihua Zhang, Shiyu Chang, Sijia Liu, Zhangyang Wang

TMLR 2022 Queried Unlabeled Data Improves and Robustifies Class-Incremental Learning Tianlong Chen, Sijia Liu, Shiyu Chang, Lisa Amini, Zhangyang Wang

ICML 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

ICLR 2021 Generating Adversarial Computer Programs Using Optimized Obfuscations Shashank Srikant, Sijia Liu, Tamara Mitrovska, Shiyu Chang, Quanfu Fan, Gaoyuan Zhang, Una-May O'Reilly

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

ICLR 2021 Long Live the Lottery: The Existence of Winning Tickets in Lifelong Learning Tianlong Chen, Zhenyu Zhang, Sijia Liu, Shiyu Chang, Zhangyang Wang

NeurIPS 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 Cox, Jim Glass

ICML 2021 Predict Then Interpolate: A Simple Algorithm to Learn Stable Classifiers Yujia Bao, Shiyu Chang, Regina Barzilay

ICLR 2021 Robust Overfitting May Be Mitigated by Properly Learned Smoothening Tianlong Chen, Zhenyu Zhang, Sijia Liu, Shiyu Chang, Zhangyang Wang

AAAI 2021 Self-Progressing Robust Training Minhao Cheng, Pin-Yu Chen, Sijia Liu, Shiyu Chang, Cho-Jui Hsieh, Payel Das

CVPR 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

NeurIPS 2021 TransGAN: Two Pure Transformers Can Make One Strong GAN, and That Can Scale up Yifan Jiang, Shiyu Chang, Zhangyang Wang

NeurIPS 2021 Understanding Interlocking Dynamics of Cooperative Rationalization Mo Yu, Yang Zhang, Shiyu Chang, Tommi Jaakkola

ICLR 2020 Few-Shot Text Classification with Distributional Signatures Yujia Bao, Menghua Wu, Shiyu Chang, Regina Barzilay

ICML 2020 Invariant Rationalization Shiyu Chang, Yang Zhang, Mo Yu, Tommi Jaakkola

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

NeurIPS 2020 The Lottery Ticket Hypothesis for Pre-Trained BERT Networks Tianlong Chen, Jonathan Frankle, Shiyu Chang, Sijia Liu, Yang Zhang, Zhangyang Wang, Michael Carbin

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

ICML 2020 Unsupervised Speech Decomposition via Triple Information Bottleneck Kaizhi Qian, Yang Zhang, Shiyu Chang, Mark Hasegawa-Johnson, David Cox

NeurIPS 2019 A Game Theoretic Approach to Class-Wise Selective Rationalization Shiyu Chang, Yang Zhang, Mo Yu, Tommi Jaakkola

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

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

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

ICLR 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

AAAI 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

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

NeurIPS 2018 Zeroth-Order Stochastic Variance Reduction for Nonconvex Optimization Sijia Liu, Bhavya Kailkhura, Pin-Yu Chen, Paishun Ting, Shiyu Chang, Lisa Amini

NeurIPS 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

ICLR 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

ICCV 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

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

CVPR 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

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

IJCAI 2016 Learning a Deep ℓ∞ Encoder for Hashing Zhangyang Wang, Yingzhen Yang, Shiyu Chang, Qing Ling, Thomas S. Huang

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

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

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

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

CVPRW 2015 Self-Tuned Deep Super Resolution Zhangyang Wang, Yingzhen Yang, Zhaowen Wang, Shiyu Chang, Wei Han, Jianchao Yang, Thomas S. Huang

WACV 2014 A Joint Perspective Towards Image Super-Resolution: Unifying External- and Self-Examples Zhangyang Wang, Zhaowen Wang, Shiyu Chang, Jianchao Yang, Thomas S. Huang

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

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

CVPRW 2012 Beyond Mahalanobis Distance: Learning Second-Order Discriminant Function for People Verification Zhen Li, Liangliang Cao, Shiyu Chang, John R. Smith, Thomas S. Huang

CVPR 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