← Authors

Shiyu Chang

97 papers · 2013–2026 · 15 conferences · across top CS/AI conferences

Achievements

🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (15) 🐝 Cross-Pollinator (13) πŸƒ Academic Marathon (12) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (17) 🌈 Renaissance Researcher (11) 🀝 Dynamic Duo (39) πŸ‘‘ Triple Crown πŸ† Keyword Champion πŸ† Grand Slam 🌱 Topic Pioneer πŸ”¬ Deep Specialist (14) 🧬 Topic Evolution ⚑ Prolific Year (12) πŸ“ˆ Trend Setter ❓ The Questioner πŸ—ƒοΈ Keyword Collector (371) πŸ’Ž Century Club (96) πŸš€ Conference Pioneer πŸ”₯ Unstoppable (11)

Conferences

ICML (17) NIPS (13) CVPR (10) EMNLP (10) ICLR (10) ACL (7) ICCV (6) NAACL (6) IJCNLP (4) INTERSPEECH (4) AAAI (3) IJCAI (3) EACL (2) AACL (1) COLING (1)

Top co-authors

Yang Zhang (40) Mo Yu (31) Sijia Liu (22) Zhangyang Wang (18) Xiaoxiao Guo (16) Tianlong Chen (12) Kaizhi Qian (11) Tommi Jaakkola (10) William Yang Wang (9) Yujian Liu (9)

Research topics

Learning Types (1) Generation (1) Science (1)

Keywords

adversarial robustness (9) transfer learning (7) self-supervised learning (6) text classification (5) neural network (5) reinforcement learning (5) lottery ticket hypothesis (5) adversarial training (5) image generation (5) zero-shot learning (4) question answering (4) jailbreak attack (4) few-shot learning (4) feature selection (4) diffusion model (4) large language model (4) unsupervised learning (4) representation learning (3) voice conversion (3) catastrophic forgetting (3)

Papers

A Reinforcement Learning Framework for Robust and Secure LLM Watermarking EACL 2026
VSP: Diagnosing the Dual Challenges of Perception and Reasoning in Spatial Planning Tasks for MLLMs ICCV 2025
Augment before You Try: Knowledge-Enhanced Table Question Answering via Table Expansion EMNLP 2025
Defending Large Language Models against Jailbreak Attacks via Semantic Smoothing IJCNLP 2025
Fictitious Synthetic Data Can Improve LLM Factuality via Prerequisite Learning ICLR 2025
Defending Large Language Models against Jailbreak Attacks via Semantic Smoothing AACL 2025
Instruction-Following Pruning for Large Language Models ICML 2025
A Probabilistic Framework for LLM Hallucination Detection via Belief Tree Propagation NAACL 2025
Reversing the Forget-Retain Objectives: An Efficient LLM Unlearning Framework from Logit Difference NIPS 2024
Revisiting Who’s Harry Potter: Towards Targeted Unlearning from a Causal Intervention Perspective EMNLP 2024
Correcting Diffusion Generation through Resampling CVPR 2024
Sparse Cocktail: Every Sparse Pattern Every Sparse Ratio All At Once ICML 2024
Decomposing Uncertainty for Large Language Models through Input Clarification Ensembling ICML 2024
Speech Self-Supervised Learning Using Diffusion Model Synthetic Data ICML 2024
Advancing the Robustness of Large Language Models through Self-Denoised Smoothing NAACL 2024
GeSS: Benchmarking Geometric Deep Learning under Scientific Applications with Distribution Shifts NIPS 2024
PromptBoosting: Black-Box Text Classification with Ten Forward Passes ICML 2023
Towards Coherent Image Inpainting Using Denoising Diffusion Implicit Models ICML 2023
TextGrad: Advancing Robustness Evaluation in NLP by Gradient-Driven Optimization ICLR 2023
Selectivity Drives Productivity: Efficient Dataset Pruning for Enhanced Transfer Learning NIPS 2023
Robust Mixture-of-Expert Training for Convolutional Neural Networks ICCV 2023
Harnessing the Spatial-Temporal Attention of Diffusion Models for High-Fidelity Text-to-Image Synthesis ICCV 2023
Uncovering the Disentanglement Capability in Text-to-Image Diffusion Models CVPR 2023
Incremental Prompting: Episodic Memory Prompt for Lifelong Event Detection COLING 2022
Fairness Reprogramming NIPS 2022
An Adversarial Framework for Generating Unseen Images by Activation Maximization AAAI 2022
Query and Extract: Refining Event Extraction as Type-oriented Binary Decoding ACL 2022
Quarantine: Sparsity Can Uncover the Trojan Attack Trigger for Free CVPR 2022
Optimizer Amalgamation ICLR 2022
Adversarial Support Alignment ICLR 2022
How to Robustify Black-Box ML Models? A Zeroth-Order Optimization Perspective ICLR 2022
Learning Stable Classifiers by Transferring Unstable Features ICML 2022
Data-Efficient Double-Win Lottery Tickets from Robust Pre-training ICML 2022
Linearity Grafting: Relaxed Neuron Pruning Helps Certifiable Robustness ICML 2022
ContentVec: An Improved Self-Supervised Speech Representation by Disentangling Speakers ICML 2022
Revisiting and Advancing Fast Adversarial Training Through The Lens of Bi-Level Optimization ICML 2022
Unsupervised Text-to-Speech Synthesis by Unsupervised Automatic Speech Recognition INTERSPEECH 2022
WavPrompt: Towards Few-Shot Spoken Language Understanding with Frozen Language Models INTERSPEECH 2022
DiffCSE: Difference-based Contrastive Learning for Sentence Embeddings NAACL 2022
Zero-Shot Cross-Lingual Phonetic Recognition with External Language Embedding INTERSPEECH 2021
The Lottery Tickets Hypothesis for Supervised and Self-Supervised Pre-Training in Computer Vision Models CVPR 2021
TransGAN: Two Pure Transformers Can Make One Strong GAN, and That Can Scale Up NIPS 2021
PARP: Prune, Adjust and Re-Prune for Self-Supervised Speech Recognition NIPS 2021
Self-Progressing Robust Training AAAI 2021
Robust Overfitting may be mitigated by properly learned smoothening ICLR 2021
Long Live the Lottery: The Existence of Winning Tickets in Lifelong Learning ICLR 2021
Generating Adversarial Computer Programs using Optimized Obfuscations ICLR 2021
Complementary Evidence Identification in Open-Domain Question Answering EACL 2021
Understanding Interlocking Dynamics of Cooperative Rationalization NIPS 2021
Predict then Interpolate: A Simple Algorithm to Learn Stable Classifiers ICML 2021
Global Prosody Style Transfer Without Text Transcriptions ICML 2021
Interactive Fiction Game Playing as Multi-Paragraph Reading Comprehension with Reinforcement Learning EMNLP 2020
Few-shot Text Classification with Distributional Signatures ICLR 2020
Training Stronger Baselines for Learning to Optimize NIPS 2020
Proper Network Interpretability Helps Adversarial Robustness in Classification ICML 2020
Invariant Rationalization ICML 2020
Unsupervised Speech Decomposition via Triple Information Bottleneck ICML 2020
The Lottery Ticket Hypothesis for Pre-trained BERT Networks NIPS 2020
Adversarial Robustness: From Self-Supervised Pre-Training to Fine-Tuning CVPR 2020
Out-of-Domain Detection for Low-Resource Text Classification Tasks IJCNLP 2019
Rethinking Cooperative Rationalization: Introspective Extraction and Complement Control EMNLP 2019
Context-Aware Conversation Thread Detection in Multi-Party Chat EMNLP 2019
Simple yet Effective Bridge Reasoning for Open-Domain Multi-Hop Question Answering EMNLP 2019
TWEETQA: A Social Media Focused Question Answering Dataset ACL 2019
AutoGAN: Neural Architecture Search for Generative Adversarial Networks ICCV 2019
Selection Bias Explorations and Debias Methods for Natural Language Sentence Matching Datasets ACL 2019
Improving Question Answering over Incomplete KBs with Knowledge-Aware Reader ACL 2019
Self-Supervised Learning for Contextualized Extractive Summarization ACL 2019
Tight Certificates of Adversarial Robustness for Randomly Smoothed Classifiers NIPS 2019
Extracting Multiple-Relations in One-Pass with Pre-Trained Transformers ACL 2019
AutoVC: Zero-Shot Voice Style Transfer with Only Autoencoder Loss ICML 2019
A Game Theoretic Approach to Class-wise Selective Rationalization NIPS 2019
Imposing Label-Relational Inductive Bias for Extremely Fine-Grained Entity Typing NAACL 2019
Sentence Embedding Alignment for Lifelong Relation Extraction NAACL 2019
Hybrid Reinforcement Learning with Expert State Sequences AAAI 2019
Out-of-Domain Detection for Low-Resource Text Classification Tasks EMNLP 2019
Rethinking Cooperative Rationalization: Introspective Extraction and Complement Control IJCNLP 2019
Context-Aware Conversation Thread Detection in Multi-Party Chat IJCNLP 2019
Additive Adversarial Learning for Unbiased Authentication CVPR 2019
Evidence Aggregation for Answer Re-Ranking in Open-Domain Question Answering ICLR 2018
Scheduled Policy Optimization for Natural Language Communication with Intelligent Agents IJCAI 2018
A Co-Matching Model for Multi-choice Reading Comprehension ACL 2018
Zeroth-Order Stochastic Variance Reduction for Nonconvex Optimization NIPS 2018
Improving Reinforcement Learning Based Image Captioning with Natural Language Prior EMNLP 2018
Deriving Machine Attention from Human Rationales EMNLP 2018
Diverse Few-Shot Text Classification with Multiple Metrics NAACL 2018
Image Super-Resolution via Dual-State Recurrent Networks CVPR 2018
One-Shot Relational Learning for Knowledge Graphs EMNLP 2018
Speech Enhancement Using Bayesian Wavenet INTERSPEECH 2017
Dilated Recurrent Neural Networks NIPS 2017
Jointly Attentive Spatial-Temporal Pooling Networks for Video-Based Person Re-Identification ICCV 2017
Robust Video Super-Resolution With Learned Temporal Dynamics ICCV 2017
D3: Deep Dual-Domain Based Fast Restoration of JPEG-Compressed Images CVPR 2016
Studying Very Low Resolution Recognition Using Deep Networks CVPR 2016
A Joint Optimization Framework of Sparse Coding and Discriminative Clustering IJCAI 2015
A Space Alignment Method for Cold-Start TV Show Recommendations IJCAI 2015
Learning Locally-Adaptive Decision Functions for Person Verification CVPR 2013