Shiyu Chang | UC Santa Barbara (original) (raw)

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

ICML'25: International Conference on Machine Learning

Fictitious Synthetic Data Can Improve LLM Factuality via Prerequisite Learning

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

ICLR'25: International Conference on Learning Representations

A Probabilistic Framework for LLM Hallucination Detection via Belief Tree Propagation

Bairu Hou☆, Yang Zhang, Jacob Andreas, Shiyu Chang

NAACL'25: Annual Conference of the North American Chapter of the Association for Computational Linguistics

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

NeurIPS'24: Advances in Neural Information Processing Systems

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

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

EMNLP'24: Conference on Empirical Methods in Natural Language Processing

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

ArXiv Preprint

Decomposing Uncertainty for Large Language Models through Input Clarification Ensembling

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

ICML'24: International Conference on Machine Learning

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

NAACL'24: Annual Conference of the North American Chapter of the Association for Computational Linguistics

Correcting Diffusion Generation through Resampling

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

CVPR'24: IEEE Computer Vision and Pattern Recognition

Improving Diffusion Models for Scene Text Editing with Dual Encoders

Jiabao Ji☆ ‡, Guanhua Zhang☆ ‡, Zhaowen Wang, Bairu Hou, Zhifei Zhang, Brian Price, Shiyu Chang

TMLR'24: Transactions on Machine Learning Research

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

ICCV'23: International Conference on Computer Vision

Towards Coherent Image Inpainting Using Denoising Diffusion Implicit Models

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

ICML'23: International Conference on Machine Learning

PromptBoosting: Black-Box Text Classification with Ten Forward Passes

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

ICML'23: International Conference on Machine Learning

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

CVPR'23: IEEE Computer Vision and Pattern Recognition

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

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

ICLR'23: International Conference on Learning Representations

Fairness Reprogramming

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

NeurIPS'22: Advances in Neural Information Processing Systems

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

ICML'22: International Conference on Machine Learning

Learning Stable Classifiers by Transferring Unstable Features

Yujia Bao, Shiyu Chang, Regina Barzilay

ICML'22: International Conference on Machine Learning

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

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

ICML'22: International Conference on Machine Learning

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

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

ICML'22: International Conference on Machine Learning

Linearity Grafting: How Neuron Pruning Helps Certifiable Robustness

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

ICML'22: International Conference on Machine Learning

DiffCSE: Difference-based Contrastive Learning for Sentence Embeddings

Yung-Sung Chuang, Rumen Dangovski, Hongyin Luo, Yang Zhang, Shiyu Chang, Marin Soljačić, Shang-Wen Li, Wen-tau Yih, Yoon Kim, James Glass

NAACL'22: Annual Conference of the North American Chapter of the Association for Computational Linguistics

Quarantine: Sparsity Can Uncover the Trojan Attack Trigger for Free

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

CVPR'22: IEEE Computer Vision and Pattern Recognition

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

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

ACL-Finding'22: Annual Meeting of the Association for Computational Linguistics

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

ICLR'22: International Conference on Learning Representations

Adversarial Support Alignment

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

ICLR'22: International Conference on Learning Representations

Optimizer Amalgamation

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

ICLR'22: International Conference on Learning Representations

Understanding Interlocking Dynamics of Cooperative Rationalization

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

NeurIPS'21: Advances in Neural Information Processing Systems

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

Yifan Jiang, Shiyu Chang, Zhangyang Wang

NeurIPS'21: Advances in Neural Information Processing Systems

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

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

NeurIPS'21: Advances in Neural Information Processing Systems

Predict then Interpolate: A Simple Algorithm to Learn Stable Classifiers

Yujia Bao, Shiyu Chang, Regina Barzilay

ICML'21: International Conference on Machine Learning

The Lottery Ticket Hypothesis for Pre-trained BERT Networks

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

NeurIPS'20: Advances in Neural Information Processing Systems

Invariant Rationalization

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

ICML'20: International Conference on Machine Learning

Unsupervised Speech Decomposition via Triple Information Bottleneck

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

ICML'20: International Conference on Machine Learning

Few-shot Text Classification with Distributional Signatures

Yujia Bao☆ ‡, Menghua Wu☆ ‡, Shiyu Chang, Regina Barzilay

ICLR'20: International Conference on Learning Representations

A Game Theoretic Approach to Class-wise Selective Rationalization

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

NeurIPS'19: Advances in Neural Information Processing Systems

A Stratified Approach to Robustness for Randomly Smoothed Classifiers

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

NeurIPS'19: Advances in Neural Information Processing Systems

Rethinking Cooperative Rationalization: Introspective Extraction and Complement Control

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

EMNLP'19: Conference on Empirical Methods in Natural Language Processing

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

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

ICML'19: International Conference on Machine Learning

Deriving Machine Attention from Human Rationales

Yujia Bao☆, Shiyu Chang, Mo Yu, Regina Barzilay

EMNLP'18: Conference on Empirical Methods in Natural Language Processing

Image Super-Resolution via Dual-State Recurrent Networks

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

CVPR'18: IEEE Computer Vision and Pattern Recognition

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

NIPS'17: Advances in Neural Information Processing Systems

Streaming Recommender Systems

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

WWW'17: ACM International World Wide Web Conference

Positive-Unlabeled Learning in Streaming Networks

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

KDD'16: ACM SIGKDD Conference on Knowledge Discovery and Data Mining

Heterogeneous Network Embedding via Deep Architectures

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

KDD'15: ACM SIGKDD Conference on Knowledge Discovery and Data Mining

Factorized Similarity Learning in Networks

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

ICDM'14: IEEE International Conference on Data Mining

Learning Locally-Adaptive Decision Functions for Person Verification

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

CVPR'13: IEEE Computer Vision and Pattern Recognition