Liu, Chen

59 publications

ICLRW 2025 A Reversible Solver for Diffusion SDEs Zander W. Blasingame, Chen Liu

NeurIPS 2025 Creativity or Brute Force? Using Brainteasers as a Window into the Problem-Solving Abilities of Large Language Models Simeng Han, Howard Dai, Stephen Xia, Grant Zhang, Chen Liu, Lichang Chen, Hoang H Nguyen, Hongyuan Mei, Jiayuan Mao, R. Thomas McCoy

NeurIPS 2025 Data Selection Matters: Towards Robust Instruction Tuning of Large Multimodal Models Xu Yang, Chen Liu, Ying Wei

CVPR 2025 Design2GarmentCode: Turning Design Concepts to Tangible Garments Through Program Synthesis Feng Zhou, Ruiyang Liu, Chen Liu, Gaofeng He, Yong-Lu Li, Xiaogang Jin, Huamin Wang

CVPR 2025 DiffLO: Semantic-Aware LiDAR Odometry with Diffusion-Based Refinement Yongshu Huang, Chen Liu, Minghang Zhu, Sheng Ao, Chenglu Wen, Cheng Wang

NeurIPS 2025 DualOptim: Enhancing Efficacy and Stability in Machine Unlearning with Dual Optimizers Xuyang Zhong, Haochen Luo, Chen Liu

CVPR 2025 Dynamic Derivation and Elimination: Audio Visual Segmentation with Enhanced Audio Semantics Chen Liu, Liying Yang, Peike Li, Dadong Wang, Lincheng Li, Xin Yu

ICCV 2025 Generative Video Bi-Flow Chen Liu, Tobias Ritschel

NeurIPS 2025 Greed Is Good: A Unifying Perspective on Guided Generation Zander W. Blasingame, Chen Liu

ICLRW 2025 Greed Is Good: Guided Generation from a Greedy Perspective Zander W. Blasingame, Chen Liu

ICCV 2025 Hierarchy UGP: Hierarchy Unified Gaussian Primitive for Large-Scale Dynamic Scene Reconstruction Hongyang Sun, Qinglin Yang, Jiawei Wang, Zhen Xu, Chen Liu, Yida Wang, Kun Zhan, Hujun Bao, Xiaowei Zhou, Sida Peng

CVPR 2025 LightLoc: Learning Outdoor LiDAR Localization at Light Speed Wen Li, Chen Liu, Shangshu Yu, Dunqiang Liu, Yin Zhou, Siqi Shen, Chenglu Wen, Cheng Wang

NeurIPS 2025 Multimodal Disease Progression Modeling via Spatiotemporal Disentanglement and Multiscale Alignment Chen Liu, Wenfang Yao, Kejing Yin, William K. Cheung, Jing Qin

ICCV 2025 Not All Frame Features Are Equal: Video-to-4D Generation via Decoupling Dynamic-Static Features Liying Yang, Chen Liu, Zhenwei Zhu, Ajian Liu, Hui Ma, Jian Nong, Yanyan Liang

JMLR 2025 Optimal Sample Selection Through Uncertainty Estimation and Its Application in Deep Learning Yong Lin, Chen Liu, Chenlu Ye, Qing Lian, Yuan Yao, Tong Zhang

CVPR 2025 ReconDreamer: Crafting World Models for Driving Scene Reconstruction via Online Restoration Chaojun Ni, Guosheng Zhao, Xiaofeng Wang, Zheng Zhu, Wenkang Qin, Guan Huang, Chen Liu, Yuyin Chen, Yida Wang, Xueyang Zhang, Yifei Zhan, Kun Zhan, Peng Jia, Xianpeng Lang, Xingang Wang, Wenjun Mei

CVPR 2025 Robust Audio-Visual Segmentation via Audio-Guided Visual Convergent Alignment Chen Liu, Peike Li, Liying Yang, Dadong Wang, Lincheng Li, Xin Yu

ICCV 2025 Scaling Tumor Segmentation: Best Lessons from Real and Synthetic Data Qi Chen, Xinze Zhou, Chen Liu, Hao Chen, Wenxuan Li, Zekun Jiang, Ziyan Huang, Yuxuan Zhao, Dexin Yu, Junjun He, Yefeng Zheng, Ling Shao, Alan Yuille, Zongwei Zhou

NeurIPS 2025 Towards Reliable and Holistic Visual In-Context Learning Prompt Selection Wenxiao Wu, Jing-Hao Xue, Chengming Xu, Chen Liu, Xinwei Sun, Changxin Gao, Nong Sang, Yanwei Fu

NeurIPS 2025 Understanding and Improving Fast Adversarial Training Against $l_0$ Bounded Perturbations Xuyang Zhong, Yixiao Huang, Chen Liu

NeurIPS 2024 Addressing Asynchronicity in Clinical Multimodal Fusion via Individualized Chest X-Ray Generation Wenfang Yao, Chen Liu, Kejing Yin, William K. Cheung, Jing Qin

NeurIPS 2024 AdjointDEIS: Efficient Gradients for Diffusion Models Zander W. Blasingame, Chen Liu

NeurIPSW 2024 AdjointDEIS: Efficient Gradients for Diffusion Models Zander W. Blasingame, Chen Liu

ECCVW 2024 Affective Behaviour Analysis via Progressive Learning Chen Liu, Wei Zhang, Feng Qiu, Lincheng Li, Dadong Wang, Xin Yu

CVPRW 2024 An Effective Ensemble Learning Framework for Affective Behaviour Analysis Wei Zhang, Feng Qiu, Chen Liu, Lincheng Li, Heming Du, Tianchen Guo, Xin Yu

CVPR 2024 Benchmarking Audio Visual Segmentation for Long-Untrimmed Videos Chen Liu, Peike Patrick Li, Qingtao Yu, Hongwei Sheng, Dadong Wang, Lincheng Li, Xin Yu

ECCV 2024 CPT-VR: Improving Surface Rendering via Closest Point Transform with View-Reflection Appearance Zhipeng Hu, Yongqiang Zhang, Chen Liu, Lincheng Li, Sida Peng, Xiaowei Zhou, Changjie Fan, Xin Yu

ECCVW 2024 Compound Expression Recognition via Curriculum Learning Chen Liu, Feng Qiu, Wei Zhang, Lincheng Li, Dadong Wang, Xin Yu

NeurIPS 2024 Concentrate Attention: Towards Domain-Generalizable Prompt Optimization for Language Models Chengzhengxu Li, Xiaoming Liu, Zhaohan Zhang, Yichen Wang, Chen Liu, Yu Lan, Chao Shen

TMLR 2024 Controlling the Fidelity and Diversity of Deep Generative Models via Pseudo Density Shuangqi Li, Chen Liu, Tong Zhang, Hieu Le, Sabine Susstrunk, Mathieu Salzmann

CVPRW 2024 Language-Guided Multi-Modal Emotional Mimicry Intensity Estimation Feng Qiu, Wei Zhang, Chen Liu, Lincheng Li, Heming Du, Tianchen Guo, Xin Yu

IJCAI 2024 Large Language Model Guided Knowledge Distillation for Time Series Anomaly Detection Chen Liu, Shibo He, Qihang Zhou, Shizhong Li, Wenchao Meng

CVPRW 2024 Learning Transferable Compound Expressions from Masked AutoEncoder Pretraining Feng Qiu, Heming Du, Wei Zhang, Chen Liu, Lincheng Li, Tianchen Guo, Xin Yu

NeurIPS 2024 Mixture of Adversarial LoRAs: Boosting Robust Generalization in Meta-Tuning Xu Yang, Chen Liu, Ying Wei

JMLR 2024 On the Impact of Hard Adversarial Instances on Overfitting in Adversarial Training Chen Liu, Zhichao Huang, Mathieu Salzmann, Tong Zhang, Sabine Süsstrunk

ICML 2024 Towards Efficient Training and Evaluation of Robust Models Against $l_0$ Bounded Adversarial Perturbations Xuyang Zhong, Yixiao Huang, Chen Liu

NeurIPS 2024 Towards Global Optimal Visual In-Context Learning Prompt Selection Chengming Xu, Chen Liu, Yikai Wang, Yuan Yao, Yanwei Fu

NeurIPS 2024 USCILab3D: A Large-Scale, Long-Term, Semantically Annotated Outdoor Dataset Kiran Lekkala, Henghui Bao, Peixu Cai, Wei Zer Lim, Chen Liu, Laurent Itti

ICMLW 2024 USCILab3D: A Large-Scale, Long-Term, Semantically Annotated Outdoor Dataset Kiran Lekkala, Henghui Bao, Peixu Cai, Wei Zer Lim, Chen Liu, Laurent Itti

WACV 2024 When 3D Bounding-Box Meets SAM: Point Cloud Instance Segmentation with Weak-and-Noisy Supervision Qingtao Yu, Heming Du, Chen Liu, Xin Yu

ICLR 2023 Behavior Prior Representation Learning for Offline Reinforcement Learning Hongyu Zang, Xin Li, Jie Yu, Chen Liu, Riashat Islam, Remi Tachet des Combes, Romain Laroche

CVPR 2023 Diverse 3D Hand Gesture Prediction from Body Dynamics by Bilateral Hand Disentanglement Xingqun Qi, Chen Liu, Muyi Sun, Lincheng Li, Changjie Fan, Xin Yu

NeurIPSW 2023 SpiNNaker2: A Large-Scale Neuromorphic System for Event-Based and Asynchronous Machine Learning Hector Andres Gonzalez, Jiaxin Huang, Florian Kelber, Khaleelulla Khan Nazeer, Tim Hauke Langer, Chen Liu, Matthias Aleander Lohrmann, Amirhossein Rostami, Mark Schöne, Bernhard Vogginger, Timo Wunderlich, Yexin Yan, Mahmoud Akl, Christian Mayr

ICML 2023 Towards Stable and Efficient Adversarial Training Against $l_1$ Bounded Adversarial Attacks Yulun Jiang, Chen Liu, Zhichao Huang, Mathieu Salzmann, Sabine Susstrunk

CVPR 2022 Neural Inertial Localization Sachini Herath, David Caruso, Chen Liu, Yufan Chen, Yasutaka Furukawa

NeurIPS 2022 Robust Binary Models by Pruning Randomly-Initialized Networks Chen Liu, Ziqi Zhao, Sabine Süsstrunk, Mathieu Salzmann

ECCVW 2022 Sign Spotting via Multi-Modal Fusion and Testing Time Transferring Hongyu Fu, Chen Liu, Xingqun Qi, Beibei Lin, Lincheng Li, Li Zhang, Xin Yu

CVPR 2021 Learning Dynamic Alignment via Meta-Filter for Few-Shot Learning Chengming Xu, Yanwei Fu, Chen Liu, Chengjie Wang, Jilin Li, Feiyue Huang, Li Zhang, Xiangyang Xue

AAAI 2021 Learning a Few-Shot Embedding Model with Contrastive Learning Chen Liu, Yanwei Fu, Chengming Xu, Siqian Yang, Jilin Li, Chengjie Wang, Li Zhang

IJCAI 2021 MG-DVD: A Real-Time Framework for Malware Variant Detection Based on Dynamic Heterogeneous Graph Learning Chen Liu, Bo Li, Jun Zhao, Ming Su, Xudong Liu

CVPRW 2020 An Embarrassingly Simple Baseline to One-Shot Learning Chen Liu, Chengming Xu, Yikai Wang, Li Zhang, Yanwei Fu

ICML 2020 DessiLBI: Exploring Structural Sparsity of Deep Networks via Differential Inclusion Paths Yanwei Fu, Chen Liu, Donghao Li, Xinwei Sun, Jinshan Zeng, Yuan Yao

NeurIPS 2020 On the Loss Landscape of Adversarial Training: Identifying Challenges and How to Overcome Them Chen Liu, Mathieu Salzmann, Tao Lin, Ryota Tomioka, Sabine Süsstrunk

ICML 2019 Finding Mixed Nash Equilibria of Generative Adversarial Networks Ya-Ping Hsieh, Chen Liu, Volkan Cevher

ICML 2019 On Certifying Non-Uniform Bounds Against Adversarial Attacks Chen Liu, Ryota Tomioka, Volkan Cevher

ECCV 2018 FloorNet: A Unified Framework for Floorplan Reconstruction from 3D Scans Chen Liu, Jiaye Wu, Yasutaka Furukawa

IJCAI 2018 Integrating Demand Response and Renewable Energy in Wholesale Market Chaojie Li, Chen Liu, Xinghuo Yu, Ke Deng, Tingwen Huang, Liangchen Liu

ICCV 2017 Raster-to-Vector: Revisiting Floorplan Transformation Chen Liu, Jiajun Wu, Pushmeet Kohli, Yasutaka Furukawa

CVPR 2016 Layered Scene Decomposition via the Occlusion-CRF Chen Liu, Pushmeet Kohli, Yasutaka Furukawa