Multi-task linear discriminant analysis for multi-view action recognition. - Yan Yan 002; Gaowen Liu; Elisa Ricci 001; Nicu Sebe (ICIP, 2013)

GLocal structural feature selection with sparsity for multimedia data understanding. - Yan Yan 002; Zhongwen Xu; Gaowen Liu; Zhigang Ma; Nicu Sebe (ACM Multimedia, 2013)

Recognizing Daily Activities from First-Person Videos with Multi-task Clustering. - Yan Yan 002; Elisa Ricci 001; Gaowen Liu; Nicu Sebe (ACCV (4), 2014)

Minimizing dataset bias: Discriminative multi-task sparse coding through shared subspace learning for image classification. - Gaowen Liu; Yan Yan 002; Jingkuan Song; Nicu Sebe (ICIP, 2014)

Clustered Multi-task Linear Discriminant Analysis for View Invariant Color-Depth Action Recognition. - Yan Yan 002; Elisa Ricci 001; Gaowen Liu; Ramanathan Subramanian; Nicu Sebe (ICPR, 2014)

Interactive Surveillance Event Detection through Mid-level Discriminative Representation. - Chenqiang Gao; Deyu Meng; Wei Tong; Yi Yang 001; Yang Cai 002; Haoquan Shen; Gaowen Liu; Shicheng Xu; Alexander G. Hauptmann (ICMR, 2014)

The Mystery of Faces: Investigating Face Contribution for Multimedia Event Detection. - Gaowen Liu; Yan Yan 002; Chenqiang Gao; Wei Tong; Alexander G. Hauptmann; Nicu Sebe (ICMR, 2014)

GLocal tells you more: Coupling GLocal structural for feature selection with sparsity for image and video classification. - Yan Yan 002; Haoquan Shen; Gaowen Liu; Zhigang Ma; Chenqiang Gao; Nicu Sebe (Comput. Vis. Image Underst., 2014)

Multitask Linear Discriminant Analysis for View Invariant Action Recognition. - Yan Yan 002; Elisa Ricci 001; Ramanathan Subramanian; Gaowen Liu; Nicu Sebe (IEEE Trans. Image Process., 2014)

Complex Event Detection via Event Oriented Dictionary Learning. - Yan Yan 002; Yi Yang 001; Haoquan Shen; Deyu Meng; Gaowen Liu; Alexander G. Hauptmann; Nicu Sebe (AAAI, 2015)

Inferring Painting Style with Multi-Task Dictionary Learning. - Gaowen Liu; Yan Yan 002; Elisa Ricci 001; Yi Yang 001; Yahong Han; Stefan Winkler 001; Nicu Sebe (IJCAI, 2015)

Egocentric Daily Activity Recognition via Multitask Clustering. - Yan Yan 002; Elisa Ricci 001; Gaowen Liu; Nicu Sebe (IEEE Trans. Image Process., 2015)

Event Oriented Dictionary Learning for Complex Event Detection. - Yan Yan 002; Yi Yang 001; Deyu Meng; Gaowen Liu; Wei Tong; Alexander G. Hauptmann; Nicu Sebe (IEEE Trans. Image Process., 2015)

A Multi-Task Learning Framework for Head Pose Estimation under Target Motion. - Yan Yan 002; Elisa Ricci 001; Ramanathan Subramanian; Gaowen Liu; Oswald Lanz; Nicu Sebe (IEEE Trans. Pattern Anal. Mach. Intell., 2016)

Active domain adaptation with noisy labels for multimedia analysis. - Gaowen Liu; Yan Yan 002; Ramanathan Subramanian; Jingkuan Song; Guoyu Lu; Nicu Sebe (World Wide Web, 2016)

Graph-based clustering and ranking for diversified image search. - Yan Yan 006; Gaowen Liu; Sen Wang 001; Jian Zhang 026; Kai Zheng 001 (Multim. Syst., 2017)

Learning with Shared Information for Image and Video Analysis. - Gaowen Liu (2017)

Cycle In Cycle Generative Adversarial Networks for Keypoint-Guided Image Generation. - Hao Tang 005; Dan Xu 002; Gaowen Liu; Wei Wang 108; Nicu Sebe; Yan Yan 002 (ACM Multimedia, 2019)

Exocentric to Egocentric Image Generation Via Parallel Generative Adversarial Network. - Gaowen Liu; Hao Tang 005; Hugo Latapie; Yan Yan 002 (ICASSP, 2020)

Cross-View Exocentric to Egocentric Video Synthesis. - Gaowen Liu; Hao Tang 005; Hugo Latapie; Jason J. Corso; Yan Yan 002 (ACM Multimedia, 2021)

A Metamodel and Framework for Artificial General Intelligence From Theory to Practice. - Hugo Latapie; Özkan Kiliç; Gaowen Liu; Ramana Kompella; Adam Lawrence; Yuhong Sun; Jayanth Srinivasa; Yan Yan 002; Pei Wang 002; Kristinn R. Thórisson (J. Artif. Intell. Conscious., 2021)

Parallel Generative Adversarial Network for Third-person to First-person Image Generation. - Gaowen Liu; Hugo Latapie; Özkan Kiliç; Adam Lawrence (CVPR Workshops, 2022)

Deep Normalized Cross-Modal Hashing with Bi-Direction Relation Reasoning. - Changchang Sun; Hugo Latapie; Gaowen Liu; Yan Yan 002 (CVPR Workshops, 2022)

Learning Omnidirectional Flow in 360$^ circ $ Video via Siamese Representation. - Keshav Bhandari; Bin Duan; Gaowen Liu; Hugo Latapie; Ziliang Zong; Yan Yan 002 (ECCV (8), 2022)

Learning Omnidirectional Flow in 360-degree Video via Siamese Representation. - Keshav Bhandari; Bin Duan; Gaowen Liu; Hugo Latapie; Ziliang Zong; Yan Yan 002 (CoRR, 2022)

Amplifying Object Tracking Performance on Edge Devices. - Sanjana Vijay Ganesh; Yanzhao Wu 001; Gaowen Liu; Ramana Kompella; Ling Liu 001 (CogMI, 2023)

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

Causal-DFQ: Causality Guided Data-free Network Quantization. - Yuzhang Shang; Bingxin Xu; Gaowen Liu; Ramana Rao Kompella; Yan Yan 002 (ICCV, 2023)

Spatially-Aware Human-Object Interaction Detection with Cross-Modal Enhancement. - Gaowen Liu; Huan Liu 012; Caixia Yan; Yuyang Guo; Rui Li 073; Sizhe Dang (ICONIP (5), 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)

Graph Mixture of Experts: Learning on Large-Scale Graphs with Explicit Diversity Modeling. - Haotao Wang; Ziyu Jiang; Yuning You; Yan Han 001; Gaowen Liu; Jayanth Srinivasa; Ramana Kompella; Zhangyang Wang (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 001; Shiyu Chang; Sijia Liu 001 (NeurIPS, 2023)

EENet: Learning to Early Exit for Adaptive Inference. - Fatih Ilhan; Ling Liu 001; Ka Ho Chow; Wenqi Wei 001; Yanzhao Wu 001; Myungjin Lee; Ramana Kompella; Hugo Latapie; Gaowen Liu (CoRR, 2023)

Optical Flow Estimation in 360° Videos: Dataset, Model and Application. - Bin Duan; Keshav Bhandari; Gaowen Liu; Yan Yan 002 (CoRR, 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)

Riemannian Multiclass Logistics Regression for SPD Neural Networks. - Ziheng Chen 001; Yue Song; Gaowen Liu; Ramana Rao Kompella; Xiaojun Wu 001; Nicu Sebe (CoRR, 2023)

A2Nav: Action-Aware Zero-Shot Robot Navigation by Exploiting Vision-and-Language Ability of Foundation Models. - Peihao Chen; Xinyu Sun; Hongyan Zhi; Runhao Zeng; Thomas H. Li; Gaowen Liu; Mingkui Tan; Chuang Gan 001 (CoRR, 2023)

Fast and Resource-Efficient Object Tracking on Edge Devices: A Measurement Study. - Sanjana Vijay Ganesh; Yanzhao Wu 001; Gaowen Liu; Ramana Kompella; Ling Liu 001 (CoRR, 2023)

CenterRadarNet: Joint 3D Object Detection and Tracking Framework using 4D FMCW Radar. - Jen-Hao Cheng; Sheng-Yao Kuan; Hugo Latapie; Gaowen Liu; Jenq-Neng Hwang (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)

WaveFormer: Wavelet Transformer for Noise-Robust Video Inpainting. - Zhiliang Wu; Changchang Sun; Hanyu Xuan; Gaowen Liu; Yan Yan 002 (AAAI, 2024)

Answer is All You Need: Instruction-following Text Embedding via Answering the Question. - Letian Peng; Yuwei Zhang 001; Zilong Wang 002; Jayanth Srinivasa; Gaowen Liu; Zihan Wang 001; Jingbo Shang (ACL (1), 2024)

Riemannian Multinomial Logistics Regression for SPD Neural Networks. - Ziheng Chen 001; Yue Song; Gaowen Liu; Ramana Rao Kompella; Xiao-Jun Wu 001; Nicu Sebe (CVPR, 2024)

MULTIFLOW: Shifting Towards Task-Agnostic Vision-Language Pruning. - Matteo Farina; Massimiliano Mancini; Elia Cunegatti; Gaowen Liu; Giovanni Iacca; Elisa Ricci 001 (CVPR, 2024)

Efficient Multitask Dense Predictor via Binarization. - Yuzhang Shang; Dan Xu 002; Gaowen Liu; Ramana Rao Kompella; Yan Yan 002 (CVPR, 2024)

Enhancing Post-Training Quantization Calibration Through Contrastive Learning. - Yuzhang Shang; Gaowen Liu; Ramana Rao Kompella; Yan Yan 002 (CVPR, 2024)

Self-adapting Large Visual-Language Models to Edge Devices Across Visual Modalities. - Kaiwen Cai; Zhekai Duan; Gaowen Liu; Charles Fleming; Chris Xiaoxuan Lu (ECCV (28), 2024)

SegVG: Transferring Object Bounding Box to Segmentation for Visual Grounding. - Weitai Kang; Gaowen Liu; Mubarak Shah; Yan Yan 002 (ECCV (38), 2024)

Open-world Multi-label Text Classification with Extremely Weak Supervision. - Xintong Li 001; Jinya Jiang; Ria Dharmani; Jayanth Srinivasa; Gaowen Liu; Jingbo Shang (EMNLP, 2024)

Variance Reduction Can Improve Trade-Off in Multi-Objective Learning. - Heshan Devaka Fernando; Lisha Chen; Songtao Lu; Pin-Yu Chen; Miao Liu 001; Subhajit Chaudhury; Keerthiram Murugesan; Gaowen Liu; Meng Wang 003; Tianyi Chen (ICASSP, 2024)

A Method for Bilevel Optimization with Convex Lower-Level Problem. - Han Shen; Santiago Paternain; Gaowen Liu; Ramana Kompella; Tianyi Chen (ICASSP, 2024)

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 (ICIP, 2024)

Boosting Online 3D Multi-Object Tracking through Camera-Radar Cross Check. - Sheng-Yao Kuan; Jen-Hao Cheng; Hsiang-Wei Huang; Wenhao Chai; Cheng-Yen Yang; Hugo Latapie; Gaowen Liu; Bing-Fei Wu; Jenq-Neng Hwang (IV, 2024)

Advancing the Robustness of Large Language Models through Self-Denoised Smoothing. - Jiabao Ji; Bairu Hou; Zhen Zhang; Guanhua Zhang; Wenqi Fan; Qing Li 001; Yang Zhang 001; Gaowen Liu; Sijia Liu 001; Shiyu Chang (NAACL (Short Papers), 2024)

Reversing the Forget-Retain Objectives: An Efficient LLM Unlearning Framework from Logit Difference. - Jiabao Ji; Yujian Liu; Yang Zhang 001; Gaowen Liu; Ramana Kompella; Sijia Liu 001; Shiyu Chang (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 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)

Adaptive Deep Neural Network Inference Optimization with EENet. - Fatih Ilhan; Ka-Ho Chow; Sihao Hu; Tiansheng Huang; Selim F. Tekin; Wenqi Wei 001; Yanzhao Wu 001; Myungjin Lee; Ramana Kompella; Hugo Latapie; Gaowen Liu; Ling Liu 001 (WACV, 2024)

Urban Scene Diffusion through Semantic Occupancy Map. - Junge Zhang; Qihang Zhang; Li Zhang; Ramana Rao Kompella; Gaowen Liu; Bolei Zhou (CoRR, 2024)

Training-Free Semantic Segmentation via LLM-Supervision. - Wenfang Sun; Yingjun Du; Gaowen Liu; Ramana Kompella; Cees G. M. Snoek (CoRR, 2024)

A Survey on Large Language Model-Based Game Agents. - Sihao Hu; Tiansheng Huang; Fatih Ilhan; Selim F. Tekin; Gaowen Liu; Ramana Kompella; Ling Liu 001 (CoRR, 2024)

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; Jenq-Neng Hwang; Hong-Han Shuai; Wen-Huang Cheng (CoRR, 2024)

Towards Hierarchical Multi-Agent Workflows for Zero-Shot Prompt Optimization. - Yuchi Liu; Jaskirat Singh; Gaowen Liu; Ali Payani; Liang Zheng 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)

UOE: Unlearning One Expert Is Enough For Mixture-of-experts LLMS. - Haomin Zhuang; Yihua Zhang; Kehan Guo; Jinghan Jia; Gaowen Liu; Sijia Liu 001; Xiangliang Zhang 001 (CoRR, 2024)

QUOTA: Quantifying Objects with Text-to-Image Models for Any Domain. - Wenfang Sun; Yingjun Du; Gaowen Liu; Cees G. M. Snoek (CoRR, 2024)

Safeguarding Text-to-Image Generation via Inference-Time Prompt-Noise Optimization. - Jiangweizhi Peng; Zhiwei Tang; Gaowen Liu; Charles Fleming; Mingyi Hong 001 (CoRR, 2024)

Diverse Score Distillation. - Yanbo Xu; Jayanth Srinivasa; Gaowen Liu; Shubham Tulsiani (CoRR, 2024)

Forget Vectors at Play: Universal Input Perturbations Driving Machine Unlearning in Image Classification. - Changchang Sun; Ren Wang 008; Yihua Zhang; Jinghan Jia; Jiancheng Liu; Gaowen Liu; Sijia Liu 001; Yan Yan (CoRR, 2024)

UniMuMo: Unified Text, Music, and Motion Generation. - Han Yang; Kun Su; Yutong Zhang; Jiaben Chen; Kaizhi Qian; Gaowen Liu; Chuang Gan 001 (AAAI, 2025)

SEUF: Is Unlearning One Expert Enough for Mixture-of-Experts LLMs? - Haomin Zhuang; Yihua Zhang; Kehan Guo; Jinghan Jia; Gaowen Liu; Sijia Liu 001; Xiangliang Zhang 001 (ACL (1), 2025)

Towards Vector Optimization on Low-Dimensional Vector Symbolic Architecture. - Shijin Duan; Yejia Liu; Gaowen Liu; Ramana Rao Kompella; Shaolei Ren; Xiaolin Xu 001 (CPAL, 2025)

Compositional Caching for Training-free Open-vocabulary Attribute Detection. - Marco Garosi; Alessandro Conti; Gaowen Liu; Elisa Ricci 001; Massimiliano Mancini (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 (CVPR, 2025)

Enhancing Dance-to-Music Generation via Negative Conditioning Latent Diffusion Model. - Changchang Sun; Gaowen Liu; Charles Fleming; Yan Yan 002 (CVPR, 2025)

Targeted Forgetting of Image Subgroups in CLIP Models. - Zeliang Zhang; Gaowen Liu; Charles Fleming; Ramana Rao Kompella; Chenliang Xu (CVPR, 2025)

Understanding Matrix Function Normalizations in Covariance Pooling through the Lens of Riemannian Geometry. - Ziheng Chen 001; Yue Song; Xiaojun Wu 001; Gaowen Liu; Nicu Sebe (ICLR, 2025)

Quantized-ViT Efficient Training via Fisher Matrix Regularization. - Yuzhang Shang; Gaowen Liu; Ramana Kompella; Yan Yan 002 (MMM (3), 2025)

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 (NAACL (Findings), 2025)

ThermoHands: A Benchmark for 3D Hand Pose Estimation from Egocentric Thermal Images. - Fangqiang Ding; Yunzhou Zhu; Xiangyu Wen; Gaowen Liu; Chris Xiaoxuan Lu (SenSys, 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 001; Gaowen Liu; George K. Thiravathukal; Yung-Hsiang Lu (WACV, 2025)

∇QDARTS: Quantization as an Elastic Dimension to Differentiable NAS. - Payman Behnam; Uday Kamal; Sanjana Vijay Ganesh; Zhaoyi Li; Michael Jurado; Alind Khare; Igor Fedorov; Gaowen Liu; Alexey Tumanov (Trans. Mach. Learn. Res., 2025)

A First-order Generative Bilevel Optimization Framework for Diffusion Models. - Quan Xiao; Hui Yuan; A. F. M. Saif; Gaowen Liu; Ramana Kompella; Mengdi Wang; Tianyi Chen (CoRR, 2025)

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 (CoRR, 2025)

Attention Reveals More Than Tokens: Training-Free Long-Context Reasoning with Attention-guided Retrieval. - Yuwei Zhang 001; Jayanth Srinivasa; Gaowen Liu; Jingbo Shang (CoRR, 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)

ProDiF: Protecting Domain-Invariant Features to Secure Pre-Trained Models Against Extraction. - Tong Zhou 002; Shijin Duan; Gaowen Liu; Charles Fleming; Ramana Rao Kompella; Shaolei Ren; Xiaolin Xu 001 (CoRR, 2025)

SkillWeaver: Web Agents can Self-Improve by Discovering and Honing Skills. - Boyuan Zheng; Michael Y. Fatemi; Xiaolong Jin; Zora Zhiruo Wang; Apurva Gandhi; Yueqi Song; Yu Gu 016; Jayanth Srinivasa; Gaowen Liu; Graham Neubig; Yu Su 001 (CoRR, 2025)

Infinigen-Sim: Procedural Generation of Articulated Simulation Assets. - Abhishek Joshi; Beining Han; Jack Nugent; Yiming Zuo 001; Jonathan Liu; Hongyu Wen; Stamatis Alexandropoulos; Tao Sun; Alexander Raistrick; Gaowen Liu; Yi Shao; Jia Deng 001 (CoRR, 2025)

Bidirectional LMs are Better Knowledge Memorizers? A Benchmark for Real-world Knowledge Injection. - Yuwei Zhang 001; Wenhao Yu 002; Shangbin Feng; Yifan Zhu; Letian Peng; Jayanth Srinivasa; Gaowen Liu; Jingbo Shang (CoRR, 2025)

SafeKey: Amplifying Aha-Moment Insights for Safety Reasoning. - Kaiwen Zhou; Xuandong Zhao; Gaowen Liu; Jayanth Srinivasa; Aosong Feng; Dawn Song; Xin Eric Wang (CoRR, 2025)

MGD3: Mode-Guided Dataset Distillation using Diffusion Models. - Jeffrey A. Chan-Santiago; Praveen Tirupattur; Gaurav Kumar Nayak; Gaowen Liu; Mubarak Shah (CoRR, 2025)

Collision- and Reachability-Aware Multi-Robot Control with Grounded LLM Planners. - Jiabao Ji; Yongchao Chen; Yang Zhang 001; Ramana Rao Kompella; Chuchu Fan; Gaowen Liu; Shiyu Chang (CoRR, 2025)

Fast ECoT: Efficient Embodied Chain-of-Thought via Thoughts Reuse. - Zhekai Duan; Yuan Zhang; Shikai Geng; Gaowen Liu; Joschka Boedecker; Chris Xiaoxuan Lu (CoRR, 2025)

Language-Vision Planner and Executor for Text-to-Visual Reasoning. - Yichang Xu; Gaowen Liu; Ramana Rao Kompella; Sihao Hu; Tiansheng Huang; Fatih Ilhan; Selim Furkan Tekin; Zachary Yahn; Ling Liu 001 (CoRR, 2025)

CaO2: Rectifying Inconsistencies in Diffusion-Based Dataset Distillation. - Haoxuan Wang 002; Zhenghao Zhao; Junyi Wu 002; Yuzhang Shang; Gaowen Liu; Yan Yan 002 (CoRR, 2025)

GVD: Guiding Video Diffusion Model for Scalable Video Distillation. - Kunyang Li; Jeffrey A. Chan-Santiago; Sarinda Dhanesh Samarasinghe; Gaowen Liu; Mubarak Shah (CoRR, 2025)

GuirlVG: Incentivize GUI Visual Grounding via Empirical Exploration on Reinforcement Learning. - Weitai Kang; Bin Lei; Gaowen Liu; Caiwen Ding; Yan Yan (CoRR, 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 001 (CoRR, 2025)

Invisible Watermarks, Visible Gains: Steering Machine Unlearning with Bi-Level Watermarking Design. - Yuhao Sun; Yihua Zhang; Gaowen Liu; Hongtao Xie; Sijia Liu (CoRR, 2025)