← Authors

Sijia Liu

119 papers · 2017–2026 · 16 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (15) 🌈 Renaissance Researcher (5) 🐝 Cross-Pollinator (8) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (16) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird πŸƒ Academic Marathon (8) 🏠 Conference Loyalist (21) πŸ‘₯ Mega-Team (20) πŸ† Keyword Champion (3) πŸ† Grand Slam 🀝 Dynamic Duo (46) πŸ‘‘ Triple Crown πŸ”¬ Deep Specialist (27) πŸ—ƒοΈ Keyword Collector (367) ❓ The Questioner (16) ⚑ Prolific Year (19) πŸš€ Conference Pioneer πŸ’Ž Century Club (117) πŸ”₯ Unstoppable (9) πŸ“ˆ Trend Setter

Conferences

ICLR (22) NIPS (21) ICML (17) AAAI (14) CVPR (11) ECCV (5) ICCV (5) NAACL (5) ACL (4) EMNLP (4) AISTATS (3) IJCAI (3) WACV (2) EACL (1) SEMEVAL (1) UAI (1)

Top co-authors

Pin-Yu Chen (46) Yihua Zhang (27) Shiyu Chang (22) Mingyi Hong (17) Jinghan Jia (16) Tianlong Chen (15) Xue Lin (14) Yanzhi Wang (13) Zhangyang Wang (13) Yuguang Yao (12)

Research topics

Privacy (2) Applications (1) Education (1)

Keywords

adversarial robustness (19) adversarial attack (12) model compression (10) adversarial training (10) machine unlearning (9) large language model (8) lottery ticket hypothesis (8) neural network (8) neural network optimization (6) transfer learning (6) zeroth-order optimization (6) neural network pruning (6) black-box optimization (5) sample complexity (5) network pruning (5) min-max optimization (4) model utility (4) adversarial learning (4) bi-level optimization (4) self-supervised learning (3)

Papers

Robust Learning from Noisily Labeled Long-Tailed Data via Fairness Regularizer AAAI 2026
BLUR: A Bi-Level Optimization Approach for LLM Unlearning EACL 2026
PSBD: Prediction Shift Uncertainty Unlocks Backdoor Detection CVPR 2025
Edit Away and My Face Will not Stay: Personal Biometric Defense against Malicious Generative Editing CVPR 2025
Improve Decoding Factuality by Token-wise Cross Layer Entropy of Large Language Models NAACL 2025
Invisible Watermarks, Visible Gains: Steering Machine Unlearning with Bi-Level Watermarking Design ICCV 2025
Reasoning Model Unlearning: Forgetting Traces, Not Just Answers, While Preserving Reasoning Skills EMNLP 2025
When is Task Vector Provably Effective for Model Editing? A Generalization Analysis of Nonlinear Transformers ICLR 2025
ID-Patch: Robust ID Association for Group Photo Personalization CVPR 2025
Invariance Makes LLM Unlearning Resilient Even to Unanticipated Downstream Fine-Tuning ICML 2025
Can Adversarial Examples Be Parsed to Reveal Victim Model Information? WACV 2025
Towards LLM Unlearning Resilient to Relearning Attacks: A Sharpness-Aware Minimization Perspective and Beyond ICML 2025
SEUF: Is Unlearning One Expert Enough for Mixture-of-Experts LLMs? ACL 2025
Visual Prompting Upgrades Neural Network Sparsification: A Data-Model Perspective AAAI 2025
What Improves the Generalization of Graph Transformers? A Theoretical Dive into the Self-attention and Positional Encoding ICML 2024
AutoVP: An Automated Visual Prompting Framework and Benchmark ICLR 2024
SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation ICLR 2024
CryoRL: Reinforcement Learning Enables Efficient Cryo-EM Data Collection WACV 2024
Backdoor Secrets Unveiled: Identifying Backdoor Data with Optimized Scaled Prediction Consistency ICLR 2024
LLM Self-Correction with DeCRIM: Decompose, Critique, and Refine for Enhanced Following of Instructions with Multiple Constraints EMNLP 2024
SOUL: Unlocking the Power of Second-Order Optimization for LLM Unlearning EMNLP 2024
Challenging Forgets: Unveiling the Worst-Case Forget Sets in Machine Unlearning ECCV 2024
To Generate or Not? Safety-Driven Unlearned Diffusion Models Are Still Easy To Generate Unsafe Images ... For Now ECCV 2024
More Samples or More Prompts? Exploring Effective Few-Shot In-Context Learning for LLMs with In-Context Sampling NAACL 2024
Advancing the Robustness of Large Language Models through Self-Denoised Smoothing NAACL 2024
Reversing the Forget-Retain Objectives: An Efficient LLM Unlearning Framework from Logit Difference NIPS 2024
Defensive Unlearning with Adversarial Training for Robust Concept Erasure in Diffusion Models NIPS 2024
WAGLE: Strategic Weight Attribution for Effective and Modular Unlearning in Large Language Models NIPS 2024
From Trojan Horses to Castle Walls: Unveiling Bilateral Data Poisoning Effects in Diffusion Models NIPS 2024
UnlearnCanvas: Stylized Image Dataset for Enhanced Machine Unlearning Evaluation in Diffusion Models NIPS 2024
Tracing Hyperparameter Dependencies for Model Parsing via Learnable Graph Pooling Network NIPS 2024
Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark ICML 2024
EmotionQueen: A Benchmark for Evaluating Empathy of Large Language Models ACL 2024
Do Large Language Models have Problem-Solving Capability under Incomplete Information Scenarios? ACL 2024
DeepZero: Scaling Up Zeroth-Order Optimization for Deep Model Training ICLR 2024
Selectivity Drives Productivity: Efficient Dataset Pruning for Enhanced Transfer Learning NIPS 2023
On the Convergence and Sample Complexity Analysis of Deep Q-Networks with $\epsilon$-Greedy Exploration NIPS 2023
Towards Credible Human Evaluation of Open-Domain Dialog Systems Using Interactive Setup AAAI 2023
DialGuide: Aligning Dialogue Model Behavior with Developer Guidelines EMNLP 2023
Patch-level Routing in Mixture-of-Experts is Provably Sample-efficient for Convolutional Neural Networks ICML 2023
Joint Edge-Model Sparse Learning is Provably Efficient for Graph Neural Networks ICLR 2023
What Is Missing in IRM Training and Evaluation? Challenges and Solutions ICLR 2023
A Theoretical Understanding of Shallow Vision Transformers: Learning, Generalization, and Sample Complexity ICLR 2023
TextGrad: Advancing Robustness Evaluation in NLP by Gradient-Driven Optimization ICLR 2023
Linearly Constrained Bilevel Optimization: A Smoothed Implicit Gradient Approach ICML 2023
Robust Mixture-of-Expert Training for Convolutional Neural Networks ICCV 2023
Model Sparsity Can Simplify Machine Unlearning NIPS 2023
Text-Visual Prompting for Efficient 2D Temporal Video Grounding CVPR 2023
Understanding and Improving Visual Prompting: A Label-Mapping Perspective CVPR 2023
AAAI New Faculty Highlights: General and Scalable Optimization for Robust AI AAAI 2023
Holistic Adversarial Robustness of Deep Learning Models AAAI 2023
PersLEARN: Research Training through the Lens of Perspective Cultivation ACL 2023
Quarantine: Sparsity Can Uncover the Trojan Attack Trigger for Free CVPR 2022
Advancing Model Pruning via Bi-level Optimization NIPS 2022
Fairness Reprogramming NIPS 2022
Adversarial Examples Can Be Effective Data Augmentation for Unsupervised Machine Learning AAAI 2022
Zeroth-Order Optimization for Composite Problems with Functional Constraints AAAI 2022
Proactive Image Manipulation Detection CVPR 2022
Decentralized Learning for Overparameterized Problems: A Multi-Agent Kernel Approximation Approach ICLR 2022
How unlabeled data improve generalization in self-training? A one-hidden-layer theoretical analysis ICLR 2022
Optimizer Amalgamation ICLR 2022
Reverse Engineering of Imperceptible Adversarial Image Perturbations ICLR 2022
How to Robustify Black-Box ML Models? A Zeroth-Order Optimization Perspective ICLR 2022
Data-Efficient Double-Win Lottery Tickets from Robust Pre-training ICML 2022
Linearity Grafting: Relaxed Neuron Pruning Helps Certifiable Robustness ICML 2022
Revisiting Contrastive Learning through the Lens of Neighborhood Component Analysis: an Integrated Framework ICML 2022
Generalization Guarantee of Training Graph Convolutional Networks with Graph Topology Sampling ICML 2022
Revisiting and Advancing Fast Adversarial Training Through The Lens of Bi-Level Optimization ICML 2022
Learning to Generate Image Source-Agnostic Universal Adversarial Perturbations IJCAI 2022
A Word is Worth A Thousand Dollars: Adversarial Attack on Tweets Fools Stock Prediction NAACL 2022
Distributed adversarial training to robustify deep neural networks at scale UAI 2022
Generating Adversarial Computer Programs using Optimized Obfuscations ICLR 2021
Adversarial Attack Generation Empowered by Min-Max Optimization NIPS 2021
NPAS: A Compiler-Aware Framework of Unified Network Pruning and Architecture Search for Beyond Real-Time Mobile Acceleration CVPR 2021
Lottery Ticket Preserves Weight Correlation: Is It Desirable or Not? ICML 2021
Sanity Checks for Lottery Tickets: Does Your Winning Ticket Really Win the Jackpot? NIPS 2021
Why Lottery Ticket Wins? A Theoretical Perspective of Sample Complexity on Sparse Neural Networks NIPS 2021
On Fast Adversarial Robustness Adaptation in Model-Agnostic Meta-Learning ICLR 2021
MEST: Accurate and Fast Memory-Economic Sparse Training Framework on the Edge NIPS 2021
A Compression-Compilation Framework for On-mobile Real-time BERT Applications IJCAI 2021
Long Live the Lottery: The Existence of Winning Tickets in Lifelong Learning ICLR 2021
Hidden Cost of Randomized Smoothing AISTATS 2021
When does Contrastive Learning Preserve Adversarial Robustness from Pretraining to Finetuning? NIPS 2021
Rate-improved inexact augmented Lagrangian method for constrained nonconvex optimization AISTATS 2021
The Lottery Tickets Hypothesis for Supervised and Self-Supervised Pre-Training in Computer Vision Models CVPR 2021
RT3D: Achieving Real-Time Execution of 3D Convolutional Neural Networks on Mobile Devices AAAI 2021
Self-Progressing Robust Training AAAI 2021
Fast Training of Provably Robust Neural Networks by SingleProp AAAI 2021
RMSMP: A Novel Deep Neural Network Quantization Framework With Row-Wise Mixed Schemes and Multiple Precisions ICCV 2021
Robust Overfitting may be mitigated by properly learned smoothening ICLR 2021
Practical Detection of Trojan Neural Networks: Data-Limited and Data-Free Cases ECCV 2020
Training Stronger Baselines for Learning to Optimize NIPS 2020
Higher-Order Certification For Randomized Smoothing NIPS 2020
Adversarial Robustness: From Self-Supervised Pre-Training to Fine-Tuning CVPR 2020
Towards Verifying Robustness of Neural Networks Against A Family of Semantic Perturbations CVPR 2020
Proper Network Interpretability Helps Adversarial Robustness in Classification ICML 2020
Is There a Trade-Off Between Fairness and Accuracy? A Perspective Using Mismatched Hypothesis Testing ICML 2020
Min-Max Optimization without Gradients: Convergence and Applications to Black-Box Evasion and Poisoning Attacks ICML 2020
Fast Learning of Graph Neural Networks with Guaranteed Generalizability: One-hidden-layer Case ICML 2020
The Lottery Ticket Hypothesis for Pre-trained BERT Networks NIPS 2020
Towards Certificated Model Robustness Against Weight Perturbations AAAI 2020
An ADMM Based Framework for AutoML Pipeline Configuration AAAI 2020
An Image Enhancing Pattern-based Sparsity for Real-time Inference on Mobile Devices ECCV 2020
Adversarial T-shirt! Evading Person Detectors in A Physical World ECCV 2020
Sign-OPT: A Query-Efficient Hard-label Adversarial Attack ICLR 2020
Topology Attack and Defense for Graph Neural Networks: An Optimization Perspective IJCAI 2019
AutoZOOM: Autoencoder-Based Zeroth Order Optimization Method for Attacking Black-Box Neural Networks AAAI 2019
CNN-Cert: An Efficient Framework for Certifying Robustness of Convolutional Neural Networks AAAI 2019
ZO-AdaMM: Zeroth-Order Adaptive Momentum Method for Black-Box Optimization NIPS 2019
signSGD via Zeroth-Order Oracle ICLR 2019
Attention Neural Model for Temporal Relation Extraction NAACL 2019
Adversarial Robustness vs. Model Compression, or Both? ICCV 2019
On the Design of Black-Box Adversarial Examples by Leveraging Gradient-Free Optimization and Operator Splitting Method ICCV 2019
Fast Incremental von Neumann Graph Entropy Computation: Theory, Algorithm, and Applications ICML 2019
On the Convergence of A Class of Adam-Type Algorithms for Non-Convex Optimization ICLR 2019
Structured Adversarial Attack: Towards General Implementation and Better Interpretability ICLR 2019
Zeroth-Order Online Alternating Direction Method of Multipliers: Convergence Analysis and Applications AISTATS 2018
Zeroth-Order Stochastic Variance Reduction for Nonconvex Optimization NIPS 2018
MayoNLP at SemEval 2017 Task 10: Word Embedding Distance Pattern for Keyphrase Classification in Scientific Publications SEMEVAL 2017