ML Anthology

Liu, Gaowen

42 publications

TMLR 2026 MetaSeal: Defending Against Image Attribution Forgery Through Content-Dependent Cryptographic Watermarks Tong Zhou, Ruyi Ding, Gaowen Liu, Charles Fleming, Ramana Rao Kompella, Yunsi Fei, Xiaolin Xu, Shaolei Ren
TMLR 2026 RT2I-Bench: Evaluating Robustness of Text-to-Image Systems Against Adversarial Attacks Athanasios Glentis, Ioannis Tsaknakis, Jiangweizhi Peng, Xun Xian, Yihua Zhang, Gaowen Liu, Charles Fleming, Mingyi Hong
ICML 2025 A First-Order Generative Bilevel Optimization Framework for Diffusion Models Quan Xiao, Hui Yuan, A F M Saif, Gaowen Liu, Ramana Rao Kompella, Mengdi Wang, Tianyi Chen
ICCV 2025 CaO2: Rectifying Inconsistencies in Diffusion-Based Dataset Distillation Haoxuan Wang, Zhenghao Zhao, Junyi Wu, Yuzhang Shang, Gaowen Liu, Yan Yan
CVPR 2025 Compositional Caching for Training-Free Open-Vocabulary Attribute Detection Marco Garosi, Alessandro Conti, Gaowen Liu, Elisa Ricci, Massimiliano Mancini
ICCV 2025 Effective Training Data Synthesis for Improving MLLM Chart Understanding Yuwei Yang, Zeyu Zhang, Yunzhong Hou, Zhuowan Li, Gaowen Liu, Ali Payani, Yuan-Sen Ting, Liang Zheng
NeurIPS 2025 Efficient Multimodal Dataset Distillation via Generative Models Zhenghao Zhao, Haoxuan Wang, Junyi Wu, Yuzhang Shang, Gaowen Liu, Yan Yan
CVPR 2025 Enhancing Dance-to-Music Generation via Negative Conditioning Latent Diffusion Model Changchang Sun, Gaowen Liu, Charles Fleming, Yan Yan
ICCV 2025 Invisible Watermarks, Visible Gains: Steering Machine Unlearning with Bi-Level Watermarking Design Yuhao Sun, Yihua Zhang, Gaowen Liu, Hongtao Xie, Sijia Liu
ICML 2025 MGD$^3$ : Mode-Guided Dataset Distillation Using Diffusion Models Jeffrey A Chan Santiago, Praveen Tirupattur, Gaurav Kumar Nayak, Gaowen Liu, Mubarak Shah
CVPR 2025 MonoTAKD: Teaching Assistant Knowledge Distillation for Monocular 3D Object Detection Hou-I Liu, Christine Wu, Jen-Hao Cheng, Wenhao Chai, Shian-Yun Wang, Gaowen Liu, Hugo Latapie, Jhih-Ciang Wu, Jenq-Neng Hwang, Hong-Han Shuai, Wen-Huang Cheng
NeurIPS 2025 Orientation-Anchored Hyper-Gaussian for 4D Reconstruction from Casual Videos Junyi Wu, Jiachen Tao, Haoxuan Wang, Gaowen Liu, Ramana Rao Kompella, Yan Yan
ICLRW 2025 ProDiF: Protecting Domain-Invariant Features to Secure Pre-Trained Models Against Extraction Tong Zhou, Shijin Duan, Gaowen Liu, Charles Fleming, Ramana Rao Kompella, Shaolei Ren, Xiaolin Xu
WACV 2025 Pruning One More Token Is Enough: Leveraging Latency-Workload Non-Linearities for Vision Transformers on the Edge Nicholas John Eliopoulos, Purvish Jajal, James C. Davis, Gaowen Liu, George K. Thiruvathukal, Yung-Hsiang Lu
CVPR 2025 Targeted Forgetting of Image Subgroups in CLIP Models Zeliang Zhang, Gaowen Liu, Charles Fleming, Ramana Rao Kompella, Chenliang Xu
ICLRW 2025 Towards Hierarchical Multi-Agent Workflows for Zero-Shot Prompt Optimization Yuchi Liu, Jaskirat Singh, Gaowen Liu, Ali Payani, Liang Zheng
CPAL 2025 Towards Vector Optimization on Low-Dimensional Vector Symbolic Architecture Shijin Duan, Yejia Liu, Gaowen Liu, Ramana Rao Kompella, Shaolei Ren, Xiaolin Xu
ICLR 2025 Understanding Matrix Function Normalizations in Covariance Pooling Through the Lens of Riemannian Geometry Ziheng Chen, Yue Song, Xiaojun Wu, Gaowen Liu, Nicu Sebe
AAAI 2025 UniMuMo: Unified Text, Music, and Motion Generation Han Yang, Kun Su, Yutong Zhang, Jiaben Chen, Kaizhi Qian, Gaowen Liu, Chuang Gan
TMLR 2025 ∇QDARTS: Quantization as an Elastic Dimension to Differentiable NAS Payman Behnam, Uday Kamal, Sanjana Vijay Ganesh, Zhaoyi Li, Michael Andrew Jurado, Alind Khare, Igor Fedorov, Gaowen Liu, Alexey Tumanov
WACV 2024 Adaptive Deep Neural Network Inference Optimization with EENet Fatih Ilhan, Ka-Ho Chow, Sihao Hu, Tiansheng Huang, Selim Tekin, Wenqi Wei, Yanzhao Wu, Myungjin Lee, Ramana Kompella, Hugo Latapie, Gaowen Liu, Ling Liu
CVPR 2024 Efficient Multitask Dense Predictor via Binarization Yuzhang Shang, Dan Xu, Gaowen Liu, Ramana Rao Kompella, Yan Yan
CVPR 2024 Enhancing Post-Training Quantization Calibration Through Contrastive Learning Yuzhang Shang, Gaowen Liu, Ramana Rao Kompella, Yan Yan
NeurIPS 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 Rao Kompella, Sijia Liu
CVPR 2024 MULTIFLOW: Shifting Towards Task-Agnostic Vision-Language Pruning Matteo Farina, Massimiliano Mancini, Elia Cunegatti, Gaowen Liu, Giovanni Iacca, Elisa Ricci
NeurIPS 2024 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
CVPR 2024 Riemannian Multinomial Logistics Regression for SPD Neural Networks Ziheng Chen, Yue Song, Gaowen Liu, Ramana Rao Kompella, Xiao-Jun Wu, Nicu Sebe
ECCV 2024 SegVG: Transferring Object Bounding Box to Segmentation for Visual Grounding Weitai Kang, Gaowen Liu, Mubarak Shah, Yan Yan
ECCV 2024 Self-Adapting Large Visual-Language Models to Edge Devices Across Visual Modalities Kaiwen Cai, ZheKai Duan, Gaowen Liu, Charles Fleming, Chris Xiaoxuan Lu
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, Sijia Liu
AAAI 2024 WaveFormer: Wavelet Transformer for Noise-Robust Video Inpainting Zhiliang Wu, Changchang Sun, Hanyu Xuan, Gaowen Liu, Yan Yan
ICCV 2023 Causal-DFQ: Causality Guided Data-Free Network Quantization Yuzhang Shang, Bingxin Xu, Gaowen Liu, Ramana Rao Kompella, Yan Yan
NeurIPSW 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
NeurIPS 2023 Graph Mixture of Experts: Learning on Large-Scale Graphs with Explicit Diversity Modeling Haotao Wang, Ziyu Jiang, Yuning You, Yan Han, Gaowen Liu, Jayanth Srinivasa, Ramana Kompella, Zhangyang "Atlas" Wang
NeurIPS 2023 Model Sparsity Can Simplify Machine Unlearning Jinghan Jia, Jiancheng Liu, Parikshit Ram, Yuguang Yao, Gaowen Liu, Yang Liu, Pranay Sharma, Sijia Liu
CVPRW 2023 Network Specialization via Feature-Level Knowledge Distillation Gaowen Liu, Yuzhang Shang, Yuguang Yao, Ramana Kompella
NeurIPS 2023 Selectivity Drives Productivity: Efficient Dataset Pruning for Enhanced Transfer Learning Yihua Zhang, Yimeng Zhang, Aochuan Chen, Jinghan Jia, Jiancheng Liu, Gaowen Liu, Mingyi Hong, Shiyu Chang, Sijia Liu
CVPRW 2022 Deep Normalized Cross-Modal Hashing with Bi-Direction Relation Reasoning Changchang Sun, Hugo Latapie, Gaowen Liu, Yan Yan
ECCV 2022 Learning Omnidirectional Flow in 360° Video via Siamese Representation Keshav Bhandari, Bin Duan, Gaowen Liu, Hugo Latapie, Ziliang Zong, Yan Yan
CVPRW 2022 Parallel Generative Adversarial Network for Third-Person to First-Person Image Generation Gaowen Liu, Hugo Latapie, Özkan Kiliç, Adam Lawrence
AAAI 2015 Complex Event Detection via Event Oriented Dictionary Learning Yan Yan, Yi Yang, Haoquan Shen, Deyu Meng, Gaowen Liu, Alexander G. Hauptmann, Nicu Sebe
IJCAI 2015 Inferring Painting Style with Multi-Task Dictionary Learning Gaowen Liu, Yan Yan, Elisa Ricci, Yi Yang, Yahong Han, Stefan Winkler, Nicu Sebe