LoSee: Long-Range Shared Bike Communication System Based on LoRaWAN Protocol. - Yuguang Yao; Zijun Ma; Zhichao Cao 001 (EWSN, 2019)

Poster: LoSee: Long-Range Shared Bike Communication System Based on LoRaWAN Protocol. - Yuguang Yao; Zijun Ma; Yifan Xu (EWSN, 2019)

Poster: Proactive ZigBee: A Novel MAC Mechanism Enabling Coordination between Wifi and ZigBee. - Yuguang Yao; Zijun Ma; Yifan Xu (EWSN, 2019)

Patronus: preventing unauthorized speech recordings with support for selective unscrambling. - Lingkun Li; Manni Liu; Yuguang Yao; Fan Dang 001; Zhichao Cao 001; Yunhao Liu 001 (SenSys, 2020)

Wi-fi see it all: generative adversarial network-augmented versatile wi-fi imaging. - Chenning Li; Zheng Liu; Yuguang Yao; Zhichao Cao 001; Mi Zhang 002; Yunhao Liu 001 (SenSys, 2020)

DeepLoRa: Learning Accurate Path Loss Model for Long Distance Links in LPWAN. - Li Liu 048; Yuguang Yao; Zhichao Cao 001; Mi Zhang 002 (INFOCOM, 2021)

When Does Backdoor Attack Succeed in Image Reconstruction? A Study of Heuristics vs. Bi-Level Solution. - Vardaan Taneja; Pin-Yu Chen; Yuguang Yao; Sijia Liu 001 (ICASSP, 2022)

Reverse Engineering of Imperceptible Adversarial Image Perturbations. - Yifan Gong 004; Yuguang Yao; Yize Li; Yimeng Zhang; Xiaoming Liu 002; Xue Lin 001; Sijia Liu 001 (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 to Generate Image Source-Agnostic Universal Adversarial Perturbations. - Pu Zhao 001; Parikshit Ram; Songtao Lu; Yuguang Yao; Djallel Bouneffouf 001; Xue Lin 001; Sijia Liu 001 (IJCAI, 2022)

Advancing Model Pruning via Bi-level Optimization. - Yihua Zhang; Yuguang Yao; Parikshit Ram; Pu Zhao 001; Tianlong Chen 001; Mingyi Hong 001; Yanzhi Wang; Sijia Liu 001 (NeurIPS, 2022)

CryoRL: Reinforcement Learning Enables Efficient Cryo-EM Data Collection. - Quanfu Fan; Yilai Li; Yuguang Yao; John Cohn; Sijia Liu 001; Seychelle M. Vos; Michael A. Cianfrocco (CoRR, 2022)

Towards Understanding How Self-training Tolerates Data Backdoor Poisoning. - Soumyadeep Pal; Ren Wang 008; Yuguang Yao; Sijia Liu 001 (SafeAI@AAAI, 2023)

Understanding and Improving Visual Prompting: A Label-Mapping Perspective. - Aochuan Chen; Yuguang Yao; Pin-Yu Chen; Yihua Zhang; Sijia Liu 001 (CVPR, 2023)

Network Specialization via Feature-level Knowledge Distillation. - Gaowen Liu; Yuzhang Shang; Yuguang Yao; Ramana Kompella (CVPR Workshops, 2023)

Visual Prompting for Adversarial Robustness. - Aochuan Chen; Peter Lorenz; Yuguang Yao; Pin-Yu Chen; Sijia Liu 001 (ICASSP, 2023)

SMUG: Towards Robust Mri Reconstruction by Smoothed Unrolling. - Hui Li; Jinghan Jia; Shijun Liang; Yuguang Yao; Saiprasad Ravishankar; Sijia Liu 001 (ICASSP, 2023)

Model Sparsity Can Simplify Machine Unlearning. - Jinghan Jia; Jiancheng Liu; Parikshit Ram; Yuguang Yao; Gaowen Liu; Yang Liu 018; Pranay Sharma; Sijia Liu 001 (NeurIPS, 2023)

Model Sparsification Can Simplify Machine Unlearning. - Jinghan Jia; Jiancheng Liu; Parikshit Ram; Yuguang Yao; Gaowen Liu; Yang Liu 018; Pranay Sharma; Sijia Liu 001 (CoRR, 2023)

An Introduction to Bi-level Optimization: Foundations and Applications in Signal Processing and Machine Learning. - Yihua Zhang; Prashant Khanduri; Ioannis C. Tsaknakis; Yuguang Yao; Mingyi Hong 001; Sijia Liu 001 (CoRR, 2023)

From Trojan Horses to Castle Walls: Unveiling Bilateral Backdoor Effects in Diffusion Models. - Zhuoshi Pan; Yuguang Yao; Gaowen Liu; Bingquan Shen; H. Vicky Zhao; Ramana Rao Kompella; Sijia Liu 001 (CoRR, 2023)

Elevating Visual Prompting in Transfer Learning Via Pruned Model Ensembles: No Retrain, No Pain. - Brian Zhang; Yuguang Yao; Sijia Liu 001 (ICASSP, 2024)

Backdoor Secrets Unveiled: Identifying Backdoor Data with Optimized Scaled Prediction Consistency. - Soumyadeep Pal; Yuguang Yao; Ren Wang 008; Bingquan Shen; Sijia Liu 001 (ICLR, 2024)

From Trojan Horses to Castle Walls: Unveiling Bilateral Data Poisoning Effects in Diffusion Models. - Zhuoshi Pan; Yuguang Yao; Gaowen Liu; Bingquan Shen; H. Vicky Zhao; Ramana Kompella; Sijia Liu 001 (NeurIPS, 2024)

UnlearnCanvas: Stylized Image Dataset for Enhanced Machine Unlearning Evaluation in Diffusion Models. - Yihua Zhang; Chongyu Fan; Yimeng Zhang; Yuguang Yao; Jinghan Jia; Jiancheng Liu; Gaoyuan Zhang; Gaowen Liu; Ramana Kompella; Xiaoming Liu 002; Sijia Liu 001 (NeurIPS, 2024)

CryoRL: Reinforcement Learning Enables Efficient Cryo-EM Data Collection. - Quanfu Fan; Yilai Li; Yuguang Yao; John Cohn; Sijia Liu 001; Ziping Xu; Seychelle M. Vos; Michael A. Cianfrocco (WACV, 2024)

Rethinking Machine Unlearning for Large Language Models. - Sijia Liu 001; Yuanshun Yao; Jinghan Jia; Stephen Casper; Nathalie Baracaldo; Peter Hase; Xiaojun Xu; Yuguang Yao; Hang Li 001; Kush R. Varshney; Mohit Bansal; Sanmi Koyejo; et al. (CoRR, 2024)

UnlearnCanvas: A Stylized Image Dataset to Benchmark Machine Unlearning for Diffusion Models. - Yihua Zhang; Yimeng Zhang; Yuguang Yao; Jinghan Jia; Jiancheng Liu; Xiaoming Liu 002; Sijia Liu 001 (CoRR, 2024)

Hide and Seek: How Does Watermarking Impact Face Recognition? - Yuguang Yao; Steven A. Grosz; Sijia Liu 001; Anil K. Jain 001 (CoRR, 2024)

Adversarial Watermarking for Face Recognition. - Yuguang Yao; Anil K. Jain 001; Sijia Liu 001 (CoRR, 2024)

Prompt Diffusion Robustifies Any-Modality Prompt Learning. - Yingjun Du; Gaowen Liu; Yuzhang Shang; Yuguang Yao; Ramana Kompella; Cees G. M. Snoek (CoRR, 2024)

FairSkin: Fair Diffusion for Skin Disease Image Generation. - Ruichen Zhang; Yuguang Yao; Zhen Tan 001; Zhiming Li; Pan Wang 013; Huan Liu 001; Jingtong Hu; Sijia Liu 001; Tianlong Chen 001 (CoRR, 2024)

Reverse Engineering of Deceptions on Machine- and Human-Centric Attacks. - Yuguang Yao; Xiao Guo; Vishal Asnani; Yifan Gong 004; Jiancheng Liu; Xue Lin 001; Xiaoming Liu 002; Sijia Liu 001 (Found. Trends Priv. Secur., 2024)

An Introduction to Bilevel Optimization: Foundations and applications in signal processing and machine learning. - Yihua Zhang; Prashant Khanduri; Ioannis C. Tsaknakis; Yuguang Yao; Mingyi Hong 001; Sijia Liu 001 (IEEE Signal Process. Mag., 2024)

Can Adversarial Examples be Parsed to Reveal Victim Model Information? - Yuguang Yao; Jiancheng Liu; Yifan Gong 004; Xiaoming Liu 002; Yanzhi Wang; Xue Lin 001; Sijia Liu 001 (WACV, 2025)

Rethinking machine unlearning for large language models. - Sijia Liu 001; Yuanshun Yao; Jinghan Jia; Stephen Casper; Nathalie Baracaldo; Peter Hase; Yuguang Yao; Chris Yuhao Liu; Xiaojun Xu; Hang Li 001; Kush R. Varshney; Mohit Bansal; et al. (Nat. Mac. Intell., 2025)

Safety Mirage: How Spurious Correlations Undermine VLM Safety Fine-tuning. - Yiwei Chen; Yuguang Yao; Yihua Zhang; Bingquan Shen; Gaowen Liu; Sijia Liu (CoRR, 2025)

R2I-Bench: Benchmarking Reasoning-Driven Text-to-Image Generation. - Kaijie Chen; Zihao Lin 003; Zhiyang Xu; Ying Shen 006; Yuguang Yao; Joy Rimchala; Jiaxin Zhang 005; Lifu Huang (CoRR, 2025)

Invariance Makes LLM Unlearning Resilient Even to Unanticipated Downstream Fine-Tuning. - Changsheng Wang; Yihua Zhang; Jinghan Jia; Parikshit Ram; Dennis Wei; Yuguang Yao; Soumyadeep Pal; Nathalie Baracaldo; Sijia Liu 001 (CoRR, 2025)

LaTtE-Flow: Layerwise Timestep-Expert Flow-based Transformer. - Ying Shen 006; Zhiyang Xu; Jiuhai Chen; Shizhe Diao; Jiaxin Zhang 005; Yuguang Yao; Joy Rimchala; Ismini Lourentzou; Lifu Huang (CoRR, 2025)