Liu, Chenxi

34 publications

ICLR 2026 On the Thinking-Language Modeling Gap in Large Language Models Chenxi Liu, Yongqiang Chen, Tongliang Liu, James Cheng, Bo Han, Kun Zhang

ICLR 2026 V2P-Bench: Evaluating Video-Language Understanding with Visual Prompts for Better Human-Model Interaction Yiming Zhao, Yu Zeng, Yukun Qi, YaoYang Liu, Xikun Bao, Lin Chen, Zehui Chen, Qing Miao, Chenxi Liu, Jie Zhao, Feng Zhao

ICLR 2025 A Watermark for Order-Agnostic Language Models Ruibo Chen, Yihan Wu, Yanshuo Chen, Chenxi Liu, Junfeng Guo, Heng Huang

ICCV 2025 Federated Continuous Category Discovery and Learning Lixu Wang, Chenxi Liu, Junfeng Guo, Qingqing Ye, Heng Huang, Haibo Hu, Wei Dong

CVPRW 2025 LangCoop: Collaborative Driving with Language Xiangbo Gao, Yuheng Wu, Rujia Wang, Chenxi Liu, Yang Zhou, Zhengzhong Tu

ICLRW 2025 On the Language of Thoughts in Large Language Models Chenxi Liu, Yongqiang Chen, Tongliang Liu, James Cheng, Bo Han, Kun Zhang

AAAI 2025 TimeCMA: Towards LLM-Empowered Multivariate Time Series Forecasting via Cross-Modality Alignment Chenxi Liu, Qianxiong Xu, Hao Miao, Sun Yang, Lingzheng Zhang, Cheng Long, Ziyue Li, Rui Zhao

IJCAI 2025 Towards Cross-Modality Modeling for Time Series Analytics: A Survey in the LLM Era Chenxi Liu, Shaowen Zhou, Qianxiong Xu, Hao Miao, Cheng Long, Ziyue Li, Rui Zhao

CVPR 2024 De-Diffusion Makes Text a Strong Cross-Modal Interface Chen Wei, Chenxi Liu, Siyuan Qiao, Zhishuai Zhang, Alan Yuille, Jiahui Yu

NeurIPS 2024 Discovery of the Hidden World with Large Language Models Chenxi Liu, Yongqiang Chen, Tongliang Liu, Mingming Gong, James Cheng, Bo Han, Kun Zhang

ECCV 2024 Few-Shot Class Incremental Learning with Attention-Aware Self-Adaptive Prompt Chenxi Liu, Zhenyi Wang, Tianyi Xiong, Ruibo Chen, Yihan Wu, Junfeng Guo, Heng Huang

NeurIPS 2024 ZeroMark: Towards Dataset Ownership Verification Without Disclosing Watermark Junfeng Guo, Yiming Li, Ruibo Chen, Yihan Wu, Chenxi Liu, Heng Huang

ICML 2023 Causal Structure Learning for Latent Intervened Non-Stationary Data Chenxi Liu, Kun Kuang

ICLR 2023 Deja Vu: Continual Model Generalization for Unseen Domains Chenxi Liu, Lixu Wang, Lingjuan Lyu, Chen Sun, Xiao Wang, Qi Zhu

CVPR 2023 MoDAR: Using Motion Forecasting for 3D Object Detection in Point Cloud Sequences Yingwei Li, Charles R. Qi, Yin Zhou, Chenxi Liu, Dragomir Anguelov

WACV 2022 FalCon: Fine-Grained Feature mAP Sparsity Computing with Decomposed Convolutions for Inference Optimization Zirui Xu, Fuxun Yu, Chenxi Liu, Zhe Wu, Hongcheng Wang, Xiang Chen

ECCV 2022 LidarNAS: Unifying and Searching Neural Architectures for 3D Point Clouds Chenxi Liu, Zhaoqi Leng, Pei Sun, Shuyang Cheng, Charles R. Qi, Yin Zhou, Mingxing Tan, Dragomir Anguelov

ICLR 2022 PolyLoss: A Polynomial Expansion Perspective of Classification Loss Functions Zhaoqi Leng, Mingxing Tan, Chenxi Liu, Ekin Dogus Cubuk, Jay Shi, Shuyang Cheng, Dragomir Anguelov

ECCV 2022 SWFormer: Sparse Window Transformer for 3D Object Detection in Point Clouds Pei Sun, Mingxing Tan, Weiyue Wang, Chenxi Liu, Fei Xia, Zhaoqi Leng, Dragomir Anguelov

ICLR 2022 Scene Transformer: A Unified Architecture for Predicting Future Trajectories of Multiple Agents Jiquan Ngiam, Vijay Vasudevan, Benjamin Caine, Zhengdong Zhang, Hao-Tien Lewis Chiang, Jeffrey Ling, Rebecca Roelofs, Alex Bewley, Chenxi Liu, Ashish Venugopal, David J Weiss, Benjamin Sapp, Zhifeng Chen, Jonathon Shlens

ICCV 2021 Large Scale Interactive Motion Forecasting for Autonomous Driving: The Waymo Open Motion Dataset Scott Ettinger, Shuyang Cheng, Benjamin Caine, Chenxi Liu, Hang Zhao, Sabeek Pradhan, Yuning Chai, Ben Sapp, Charles R. Qi, Yin Zhou, Zoey Yang, Aurélien Chouard, Pei Sun, Jiquan Ngiam, Vijay Vasudevan, Alexander McCauley, Jonathon Shlens, Dragomir Anguelov

CVPR 2021 Progressive Stage-Wise Learning for Unsupervised Feature Representation Enhancement Zefan Li, Chenxi Liu, Alan Yuille, Bingbing Ni, Wenjun Zhang, Wen Gao

ECCV 2020 Are Labels Necessary for Neural Architecture Search? Chenxi Liu, Piotr Dollár, Kaiming He, Ross Girshick, Alan Yuille, Saining Xie

AAAI 2020 Identifying Model Weakness with Adversarial Examiner Michelle Shu, Chenxi Liu, Weichao Qiu, Alan L. Yuille

CVPR 2019 Adversarial Attacks Beyond the Image Space Xiaohui Zeng, Chenxi Liu, Yu-Siang Wang, Weichao Qiu, Lingxi Xie, Yu-Wing Tai, Chi-Keung Tang, Alan L. Yuille

CVPR 2019 Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image Segmentation Chenxi Liu, Liang-Chieh Chen, Florian Schroff, Hartwig Adam, Wei Hua, Alan L. Yuille, Li Fei-Fei

CVPR 2019 CLEVR-Ref+: Diagnosing Visual Reasoning with Referring Expressions Runtao Liu, Chenxi Liu, Yutong Bai, Alan L. Yuille

CVPR 2018 Few-Shot Image Recognition by Predicting Parameters from Activations Siyuan Qiao, Chenxi Liu, Wei Shen, Alan L. Yuille

ECCV 2018 Progressive Neural Architecture Search Chenxi Liu, Barret Zoph, Maxim Neumann, Jonathon Shlens, Wei Hua, Li-Jia Li, Li Fei-Fei, Alan Yuille, Jonathan Huang, Kevin Murphy

AAAI 2017 Attention Correctness in Neural Image Captioning Chenxi Liu, Junhua Mao, Fei Sha, Alan L. Yuille

ICCV 2017 Recurrent Multimodal Interaction for Referring Image Segmentation Chenxi Liu, Zhe Lin, Xiaohui Shen, Jimei Yang, Xin Lu, Alan Yuille

ICCV 2017 SORT: Second-Order Response Transform for Visual Recognition Yan Wang, Lingxi Xie, Chenxi Liu, Siyuan Qiao, Ya Zhang, Wenjun Zhang, Qi Tian, Alan Yuille

ICCV 2017 ScaleNet: Guiding Object Proposal Generation in Supermarkets and Beyond Siyuan Qiao, Wei Shen, Weichao Qiu, Chenxi Liu, Alan Yuille

CVPR 2015 Rent3D: Floor-Plan Priors for Monocular Layout Estimation Chenxi Liu, Alexander G. Schwing, Kaustav Kundu, Raquel Urtasun, Sanja Fidler