Gaowen Liu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
51
Venues
20
Active years
2013–2026
Best venue rank
A*
Where they publish
Papers
51 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | FAMA: Failure-Aware Meta-Agentic Framework for Open-Source LLMs in Interactive Tool Use Environments. | Amir Saeidi, Venkatesh Mishra, Souradeep Mukhopadhyay, Gaowen Liu, Ali Payani, Jayanth Srinivasa, Chitta Baral |
| 2026 | ACL | Bidirectional LMs are Better Knowledge Memorizers? A Benchmark for Real-world Knowledge Injection. | Yuwei Zhang, Wenhao Yu, Shangbin Feng, Yifan Zhu, Letian Peng, Jayanth Srinivasa, Gaowen Liu, Jingbo Shang |
| 2026 | WACV | QUOTA: Quantifying Objects with Text-to-Image Models for Any Domain. | Wenfang Sun, Yingjun Du, Gaowen Liu, Yefeng Zheng, Cees G. M. Snoek |
| 2025 | AAAI | UniMuMo: Unified Text, Music, and Motion Generation. | Han Yang, Kun Su, Yutong Zhang, Jiaben Chen, Kaizhi Qian, Gaowen Liu, Chuang Gan |
| 2025 | ACL | SEUF: Is Unlearning One Expert Enough for Mixture-of-Experts LLMs? | Haomin Zhuang, Yihua Zhang, Kehan Guo, Jinghan Jia, Gaowen Liu, Sijia Liu, Xiangliang Zhang |
| 2025 | CVPR | Compositional Caching for Training-free Open-vocabulary Attribute Detection. | Marco Garosi, Alessandro Conti, Gaowen Liu, Elisa Ricci, Massimiliano Mancini |
| 2025 | CVPR | 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 |
| 2025 | CVPR | Enhancing Dance-to-Music Generation via Negative Conditioning Latent Diffusion Model. | Changchang Sun, Gaowen Liu, Charles Fleming, Yan Yan |
| 2025 | CVPR | Targeted Forgetting of Image Subgroups in CLIP Models. | Zeliang Zhang, Gaowen Liu, Charles Fleming, Ramana Rao Kompella, Chenliang Xu |
| 2025 | DAC | Towards Training Robustness Against Dynamic Errors in Quantum Machine Learning. | Shijin Duan, Gaowen Liu, Charles Fleming, Ramana Kompella, Xiaolin Xu, Shaolei Ren |
| 2025 | EMNLP | How Can Input Reformulation Improve Tool Usage Accuracy in a Complex Dynamic Environment? A Study on tau-bench. | Venkatesh Mishra, Amir Saeidi, Satyam Raj, Mutsumi Nakamura, Gaowen Liu, Ali Payani, Jayanth Srinivasa, Chitta Baral |
| 2025 | EMNLP | SafeKey: Amplifying Aha-Moment Insights for Safety Reasoning. | Kaiwen Zhou, Xuandong Zhao, Jayanth Srinivasa, Gaowen Liu, Aosong Feng, Dawn Song, Xin Eric Wang |
| 2025 | ICCV | Invisible Watermarks, Visible Gains: Steering Machine Unlearning with Bi-Level Watermarking Design. | Yuhao Sun, Yihua Zhang, Gaowen Liu, Hongtao Xie, Sijia Liu |
| 2025 | ICCV | CaO2: Rectifying Inconsistencies in Diffusion-Based Dataset Distillation. | Haoxuan Wang, Zhenghao Zhao, Junyi Wu, Yuzhang Shang, Gaowen Liu, Yan Yan |
| 2025 | ICCV | 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 |
| 2025 | ICIP | Tie-Breaking Conflict-Ease Cross-Modal Hashing. | Changchang Sun, Jialie Shen, Gaowen Liu, Aihua Zheng, Yan Yan |
| 2025 | ICLR | Understanding Matrix Function Normalizations in Covariance Pooling through the Lens of Riemannian Geometry. | Ziheng Chen, Yue Song, Xiaojun Wu, Gaowen Liu, Nicu Sebe |
| 2025 | ICML | MGD3 : Mode-Guided Dataset Distillation using Diffusion Models. | Jeffrey A. Chan-Santiago, Praveen Tirupattur, Gaurav Kumar Nayak, Gaowen Liu, Mubarak Shah |
| 2025 | ICML | 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 |
| 2025 | IJCNLP | The Hidden Risks of Large Reasoning Models: A Safety Assessment of R1. | Kaiwen Zhou, Chengzhi Liu, Xuandong Zhao, Shreedhar Jangam, Jayanth Srinivasa, Gaowen Liu, Dawn Song, Xin Eric Wang |
| 2025 | MMM | Quantized-ViT Efficient Training via Fisher Matrix Regularization. | Yuzhang Shang, Gaowen Liu, Ramana Kompella, Yan Yan |
| 2025 | NAACL | Investigating the Shortcomings of LLMs in Step-by-Step Legal Reasoning. | Venkatesh Mishra, Bimsara Pathiraja, Mihir Parmar, Sat Chidananda, Jayanth Srinivasa, Gaowen Liu, Ali Payani, Chitta Baral |
| 2025 | WACV | 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. Thiravathukal, Yung-Hsiang Lu |
| 2025 | SENSYS | ThermoHands: A Benchmark for 3D Hand Pose Estimation from Egocentric Thermal Images. | Fangqiang Ding, Yunzhou Zhu, Xiangyu Wen, Gaowen Liu, Chris Xiaoxuan Lu |
| 2024 | AAAI | WaveFormer: Wavelet Transformer for Noise-Robust Video Inpainting. | Zhiliang Wu, Changchang Sun, Hanyu Xuan, Gaowen Liu, Yan Yan |
| 2024 | ACL | Answer is All You Need: Instruction-following Text Embedding via Answering the Question. | Letian Peng, Yuwei Zhang, Zilong Wang, Jayanth Srinivasa, Gaowen Liu, Zihan Wang, Jingbo Shang |
| 2024 | CVPR | Riemannian Multinomial Logistics Regression for SPD Neural Networks. | Ziheng Chen, Yue Song, Gaowen Liu, Ramana Rao Kompella, Xiao-Jun Wu, Nicu Sebe |
| 2024 | CVPR | MULTIFLOW: Shifting Towards Task-Agnostic Vision-Language Pruning. | Matteo Farina, Massimiliano Mancini, Elia Cunegatti, Gaowen Liu, Giovanni Iacca, Elisa Ricci |
| 2024 | CVPR | Efficient Multitask Dense Predictor via Binarization. | Yuzhang Shang, Dan Xu, Gaowen Liu, Ramana Rao Kompella, Yan Yan |
| 2024 | CVPR | Enhancing Post-Training Quantization Calibration Through Contrastive Learning. | Yuzhang Shang, Gaowen Liu, Ramana Rao Kompella, Yan Yan |
| 2024 | ECCV | Self-adapting Large Visual-Language Models to Edge Devices Across Visual Modalities. | Kaiwen Cai, Zhekai Duan, Gaowen Liu, Charles Fleming, Chris Xiaoxuan Lu |
| 2024 | ECCV | SegVG: Transferring Object Bounding Box to Segmentation for Visual Grounding. | Weitai Kang, Gaowen Liu, Mubarak Shah, Yan Yan |
| 2024 | EMNLP | Open-world Multi-label Text Classification with Extremely Weak Supervision. | Xintong Li, Jinya Jiang, Ria Dharmani, Jayanth Srinivasa, Gaowen Liu, Jingbo Shang |
| 2024 | ICASSP | Variance Reduction Can Improve Trade-Off in Multi-Objective Learning. | Heshan Devaka Fernando, Lisha Chen, Songtao Lu, Pin-Yu Chen, Miao Liu, Subhajit Chaudhury, Keerthiram Murugesan, Gaowen Liu, Meng Wang, Tianyi Chen |
| 2024 | ICASSP | A Method for Bilevel Optimization with Convex Lower-Level Problem. | Han Shen, Santiago Paternain, Gaowen Liu, Ramana Kompella, Tianyi Chen |
| 2024 | ICIP | CenterRadarNet: Joint 3D Object Detection and Tracking Framework Using 4D FMCW Radar. | Jen-Hao Cheng, Sheng-Yao Kuan, Hou-I Liu, Hugo Latapie, Gaowen Liu, Jenq-Neng Hwang |
| 2024 | NAACL | Advancing the Robustness of Large Language Models through Self-Denoised Smoothing. | Jiabao Ji, Bairu Hou, Zhen Zhang, Guanhua Zhang, Wenqi Fan, Qing Li, Yang Zhang, Gaowen Liu, Sijia Liu, Shiyu Chang |
| 2024 | WACV | Adaptive Deep Neural Network Inference Optimization with EENet. | Fatih Ilhan, Ka-Ho Chow, Sihao Hu, Tiansheng Huang, Selim F. Tekin, Wenqi Wei, Yanzhao Wu, Myungjin Lee, Ramana Kompella, Hugo Latapie, Gaowen Liu, Ling Liu |
| 2023 | CVPR | Network Specialization via Feature-level Knowledge Distillation. | Gaowen Liu, Yuzhang Shang, Yuguang Yao, Ramana Kompella |
| 2023 | ICCV | Causal-DFQ: Causality Guided Data-free Network Quantization. | Yuzhang Shang, Bingxin Xu, Gaowen Liu, Ramana Rao Kompella, Yan Yan |
| 2023 | ICONIP | Spatially-Aware Human-Object Interaction Detection with Cross-Modal Enhancement. | Gaowen Liu, Huan Liu, Caixia Yan, Yuyang Guo, Rui Li, Sizhe Dang |
| 2022 | CVPR | Parallel Generative Adversarial Network for Third-person to First-person Image Generation. | Gaowen Liu, Hugo Latapie, zkan Kili, Adam Lawrence |
| 2022 | CVPR | Deep Normalized Cross-Modal Hashing with Bi-Direction Relation Reasoning. | Changchang Sun, Hugo Latapie, Gaowen Liu, Yan Yan |
| 2022 | ECCV | Learning Omnidirectional Flow in 360$^\circ $ Video via Siamese Representation. | Keshav Bhandari, Bin Duan, Gaowen Liu, Hugo Latapie, Ziliang Zong, Yan Yan |
| 2020 | ICASSP | Exocentric to Egocentric Image Generation Via Parallel Generative Adversarial Network. | Gaowen Liu, Hao Tang, Hugo Latapie, Yan Yan |
| 2015 | AAAI | Complex Event Detection via Event Oriented Dictionary Learning. | Yan Yan, Yi Yang, Haoquan Shen, Deyu Meng, Gaowen Liu, Alexander G. Hauptmann, Nicu Sebe |
| 2015 | IJCAI | Inferring Painting Style with Multi-Task Dictionary Learning. | Gaowen Liu, Yan Yan, Elisa Ricci, Yi Yang, Yahong Han, Stefan Winkler, Nicu Sebe |
| 2014 | ACCV | Recognizing Daily Activities from First-Person Videos with Multi-task Clustering. | Yan Yan, Elisa Ricci, Gaowen Liu, Nicu Sebe |
| 2014 | ICIP | Minimizing dataset bias: Discriminative multi-task sparse coding through shared subspace learning for image classification. | Gaowen Liu, Yan Yan, Jingkuan Song, Nicu Sebe |
| 2014 | ICPR | Clustered Multi-task Linear Discriminant Analysis for View Invariant Color-Depth Action Recognition. | Yan Yan, Elisa Ricci, Gaowen Liu, Ramanathan Subramanian, Nicu Sebe |
| 2013 | ICIP | Multi-task linear discriminant analysis for multi-view action recognition. | Yan Yan, Gaowen Liu, Elisa Ricci, Nicu Sebe |