Li, Zhiqi

16 publications

TMLR 2026 Language Models Are Symbolic Learners in Arithmetic Chunyuan Deng, Zhiqi Li, Roy Xie, Ruidi Chang, Hanjie Chen

ICLR 2026 QuadGPT: Native Quadrilateral Mesh Generation with Autoregressive Models Jian Liu, Chunshi Wang, Song Guo, Haohan Weng, Zhen Zhou, Zhiqi Li, Jiaao Yu, Yiling Zhu, Jing Xu, Biwen Lei, Zhuo Chen, Chunchao Guo

ICLR 2026 SONATA: Synergistic Coreset Informed Adaptive Temporal Tensor Factorization Maolin Wang, Zhiqi Li, Binhao Wang, Xuhui Chen, Tianshuo Wei, Wanyu Wang, Shikai Fang, Ruocheng Guo, Zenglin Xu, Xiangyu Zhao

NeurIPS 2025 Eagle 2.5: Boosting Long-Context Post-Training for Frontier Vision-Language Models Guo Chen, Zhiqi Li, Shihao Wang, Jindong Jiang, Yicheng Liu, Lidong Lu, De-An Huang, Wonmin Byeon, Matthieu Le, Max Ehrlich, Tong Lu, Limin Wang, Bryan Catanzaro, Jan Kautz, Andrew Tao, Zhiding Yu, Guilin Liu

CVPR 2025 Omni-Scene: Omni-Gaussian Representation for Ego-Centric Sparse-View Scene Reconstruction Dongxu Wei, Zhiqi Li, Peidong Liu

NeurIPS 2024 DreamMesh4D: Video-to-4D Generation with Sparse-Controlled Gaussian-Mesh Hybrid Representation Zhiqi Li, Yiming Chen, Peidong Liu

CVPR 2024 Efficient Deformable ConvNets: Rethinking Dynamic and Sparse Operator for Vision Applications Yuwen Xiong, Zhiqi Li, Yuntao Chen, Feng Wang, Xizhou Zhu, Jiapeng Luo, Wenhai Wang, Tong Lu, Hongsheng Li, Yu Qiao, Lewei Lu, Jie Zhou, Jifeng Dai

NeurIPSW 2024 Improving Group Connectivity for Generalization of Federated Deep Learning Zexi Li, Jie Lin, Zhiqi Li, Didi Zhu, Rui Ye, Tao Shen, Tao Lin, Chao Wu

CVPR 2024 Is Ego Status All You Need for Open-Loop End-to-End Autonomous Driving? Zhiqi Li, Zhiding Yu, Shiyi Lan, Jiahan Li, Jan Kautz, Tong Lu, Jose M. Alvarez

CVPRW 2024 Swift Parameter-Free Attention Network for Efficient Super-Resolution Cheng Wan, Hongyuan Yu, Zhiqi Li, Yihang Chen, Yajun Zou, Yuqing Liu, Xuanwu Yin, Kunlong Zuo

ICCV 2023 FB-BEV: BEV Representation from Forward-Backward View Transformations Zhiqi Li, Zhiding Yu, Wenhai Wang, Anima Anandkumar, Tong Lu, Jose M. Alvarez

CVPR 2023 InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutions Wenhai Wang, Jifeng Dai, Zhe Chen, Zhenhang Huang, Zhiqi Li, Xizhou Zhu, Xiaowei Hu, Tong Lu, Lewei Lu, Hongsheng Li, Xiaogang Wang, Yu Qiao

NeurIPS 2023 Leveraging Vision-Centric Multi-Modal Expertise for 3D Object Detection Linyan Huang, Zhiqi Li, Chonghao Sima, Wenhai Wang, Jingdong Wang, Yu Qiao, Hongyang Li

ECCV 2022 BEVFormer: Learning Bird’s-Eye-View Representation from Multi-Camera Images via Spatiotemporal Transformers Zhiqi Li, Wenhai Wang, Hongyang Li, Enze Xie, Chonghao Sima, Tong Lu, Yu Qiao, Jifeng Dai

ICML 2022 Federated Learning with Label Distribution Skew via Logits Calibration Jie Zhang, Zhiqi Li, Bo Li, Jianghe Xu, Shuang Wu, Shouhong Ding, Chao Wu

CVPR 2022 Panoptic SegFormer: Delving Deeper into Panoptic Segmentation with Transformers Zhiqi Li, Wenhai Wang, Enze Xie, Zhiding Yu, Anima Anandkumar, Jose M. Alvarez, Ping Luo, Tong Lu