Publications

2026

IP Protection in the Era of Visual Generative AI: A Survey

Zhuan Shi, Shunchang Liu, Alireza Dehghanpour Farashah, Qian Yang, Han Yu, Cao Yang, Chaochao Chen, Yuping Yan, Yaochu Jin, Golnoosh Farnadi, Lingjuan Lyu

Preprint, 2026

IP Protection in the Era of Visual Generative AI: A Survey

Zhuan Shi, Shunchang Liu, Alireza Dehghanpour Farashah, Qian Yang, Han Yu, Cao Yang, Chaochao Chen, Yuping Yan, Yaochu Jin, Golnoosh Farnadi, Lingjuan Lyu

Preprint, 2026

Enhancing building product inventory automation through a hybrid spatial-semantic modeling framework

Shuting Mi, Xiaofei Wu, Shunchang Liu, Zhao Huang, Catherine De Wolf, Mennatallah El-Assady, Pei-Yu Wu

Developments in the Built Environment, 2026

Enhancing building product inventory automation through a hybrid spatial-semantic modeling framework

Shuting Mi, Xiaofei Wu, Shunchang Liu, Zhao Huang, Catherine De Wolf, Mennatallah El-Assady, Pei-Yu Wu

Developments in the Built Environment, 2026

Preference Instability in Reward Models: Detection and Mitigation via Sparse Autoencoders

Shunchang Liu, Xin Chen, Belen Martin Urcelay, Francesco Croce

ICML @CompLearn Workshop & @Mech Interp Workshop, 2026

Preference Instability in Reward Models: Detection and Mitigation via Sparse Autoencoders

Shunchang Liu, Xin Chen, Belen Martin Urcelay, Francesco Croce

ICML @CompLearn Workshop & @Mech Interp Workshop, 2026

2025

The Biased Oracle: Assessing LLMs' Understandability and Empathy in Medical Diagnoses

Jianzhou Yao*, Shunchang Liu*, Guillaume Drui, Rikard Pettersson, Alessandro Blasimme, Sara Kijewski (* equal contribution)

NeurIPS @GenAI4Health Workshop, 2025

The Biased Oracle: Assessing LLMs' Understandability and Empathy in Medical Diagnoses

Jianzhou Yao*, Shunchang Liu*, Guillaume Drui, Rikard Pettersson, Alessandro Blasimme, Sara Kijewski (* equal contribution)

NeurIPS @GenAI4Health Workshop, 2025

CopyJudge: Automated Copyright Infringement Identification and Mitigation in Text-to-Image Diffusion Models

Shunchang Liu*, Zhuan Shi*, Lingjuan Lyu, Yaochu Jin, Boi Faltings (* equal contribution)

ACM International Conference on Multimedia (MM), 2025

Thanks for Anderson's insightful commentary and sharing (1, 2) by the Korea Copyright Commission.

CopyJudge: Automated Copyright Infringement Identification and Mitigation in Text-to-Image Diffusion Models

Shunchang Liu*, Zhuan Shi*, Lingjuan Lyu, Yaochu Jin, Boi Faltings (* equal contribution)

ACM International Conference on Multimedia (MM), 2025

Thanks for Anderson's insightful commentary and sharing (1, 2) by the Korea Copyright Commission.

2023

Benchmarking the Robustness of Quantized Models

Yisong Xiao, Tianyuan Zhang, Shunchang Liu, Haotong Qin

CVPR @AdvCV Workshop, 2023

Benchmarking the Robustness of Quantized Models

Yisong Xiao, Tianyuan Zhang, Shunchang Liu, Haotong Qin

CVPR @AdvCV Workshop, 2023

Boosting Cross-task Transferability of Adversarial Patches with Visual Relations

Tony Ma, Songze Li, Yisong Xiao, Shunchang Liu# (# corresponding author)

CVPR @AdvCV Workshop, 2023

Boosting Cross-task Transferability of Adversarial Patches with Visual Relations

Tony Ma, Songze Li, Yisong Xiao, Shunchang Liu# (# corresponding author)

CVPR @AdvCV Workshop, 2023

2022

Harnessing Perceptual Adversarial Patches for Crowd Counting

Shunchang Liu*, Jiakai Wang*, Aishan Liu, Yingwei Li, Yijie Gao, Xianglong Liu, Dacheng Tao (* equal contribution)

ACM SIGSAC Conference on Computer and Communications Security (CCS), 2022

Harnessing Perceptual Adversarial Patches for Crowd Counting

Shunchang Liu*, Jiakai Wang*, Aishan Liu, Yingwei Li, Yijie Gao, Xianglong Liu, Dacheng Tao (* equal contribution)

ACM SIGSAC Conference on Computer and Communications Security (CCS), 2022

Revisiting Audio Visual Scene-Aware Dialog

Aishan Liu, Huiyuan Xie, Xianglong Liu, Zixin Yin, Shunchang Liu

Neurocomputing, 2022

Revisiting Audio Visual Scene-Aware Dialog

Aishan Liu, Huiyuan Xie, Xianglong Liu, Zixin Yin, Shunchang Liu

Neurocomputing, 2022

2021

Dual Attention Suppression Attack: Generate Adversarial Camouflage in Physical World

Jiakai Wang, Aishan Liu, Zixin Yin, Shunchang Liu, Shiyu Tang, Xianglong Liu

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021 Oral

Dual Attention Suppression Attack: Generate Adversarial Camouflage in Physical World

Jiakai Wang, Aishan Liu, Zixin Yin, Shunchang Liu, Shiyu Tang, Xianglong Liu

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021 Oral

Academic Service

Program Committee / Reviewer
  • NeurIPS 2026
  • Frontiers of Computer Science
  • IEEE Transactions on Intelligent Transportation Systems (T-ITS)
  • Workshops: ICML MoFA, CVPR AdvCV, ICML 2026 CompLearn
Teaching Assistant
  • EPFL – Machine Learning (Fall 2025)

Lab & Collaborators

Labs I’ve Worked At
Collaborators or Friends
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