Deep RGB-D Canonical Correlation Analysis For Sparse Depth Completion. - Yiqi Zhong; Cho-Ying Wu; Suya You; Ulrich Neumann (NeurIPS, 2019)

Modeling Cross-Modal Interaction in a Multi-detector, Multi-modal Tracking Framework. - Yiqi Zhong; Suya You; Ulrich Neumann (ACCV (2), 2020)

Different Dimension Issues in Deep Feature Space for Finger-Vein Recognition. - Yiqi Zhong; Jiahui Li; Tingting Chai; Shitala Prasad; Zhaoxin Zhang (CCBR, 2021)

Collaborative Uncertainty in Multi-Agent Trajectory Forecasting. - Bohan Tang; Yiqi Zhong; Ulrich Neumann; Gang Wang; Siheng Chen; Ya Zhang 002 (NeurIPS, 2021)

Behind the Curtain: Learning Occluded Shapes for 3D Object Detection. - Qiangeng Xu; Yiqi Zhong; Ulrich Neumann (AAAI, 2022)

Shadows can be Dangerous: Stealthy and Effective Physical-world Adversarial Attack by Natural Phenomenon. - Yiqi Zhong; Xianming Liu; Deming Zhai; Junjun Jiang; Xiangyang Ji (CVPR, 2022)

Aware of the History: Trajectory Forecasting with the Local Behavior Data. - Yiqi Zhong; Zhenyang Ni; Siheng Chen; Ulrich Neumann (ECCV (22), 2022)

Where2comm: Communication-Efficient Collaborative Perception via Spatial Confidence Maps. - Yue Hu; Shaoheng Fang; Zixing Lei; Yiqi Zhong; Siheng Chen (NeurIPS, 2022)

V2X-Sim: A Virtual Collaborative Perception Dataset for Autonomous Driving. - Yiming Li 003; Ziyan An; Zixun Wang; Yiqi Zhong; Siheng Chen; Chen Feng 002 (CoRR, 2022)

Exploiting the Potential of Datasets: A Data-Centric Approach for Model Robustness. - Yiqi Zhong; Lei Wu; Xianming Liu; Junjun Jiang (CoRR, 2022)

V2X-Sim: Multi-Agent Collaborative Perception Dataset and Benchmark for Autonomous Driving. - Yiming Li 003; Dekun Ma; Ziyan An; Zixun Wang; Yiqi Zhong; Siheng Chen; Chen Feng 002 (IEEE Robotics Autom. Lett., 2022)

TBP-Former: Learning Temporal Bird's-Eye-View Pyramid for Joint Perception and Prediction in Vision-Centric Autonomous Driving. - Shaoheng Fang; Zi Wang; Yiqi Zhong; Junhao Ge; Siheng Chen (CVPR, 2023)

MMVP: Motion-Matrix-based Video Prediction. - Yiqi Zhong; Luming Liang; Ilya Zharkov; Ulrich Neumann (ICCV, 2023)

Asynchrony-Robust Collaborative Perception via Bird's Eye View Flow. - Sizhe Wei; Yuxi Wei; Yue Hu; Yifan Lu; Yiqi Zhong; Siheng Chen; Ya Zhang 002 (NeurIPS, 2023)

TBP-Former: Learning Temporal Bird's-Eye-View Pyramid for Joint Perception and Prediction in Vision-Centric Autonomous Driving. - Shaoheng Fang; Zi Wang; Yiqi Zhong; Junhao Ge; Siheng Chen; Yanfeng Wang 001 (CoRR, 2023)

Meta-Optimization for Higher Model Generalizability in Single-Image Depth Prediction. - Cho-Ying Wu; Yiqi Zhong; Junying Wang; Ulrich Neumann (CoRR, 2023)

Backdoor Attacks Against Incremental Learners: An Empirical Evaluation Study. - Yiqi Zhong; Xianming Liu; Deming Zhai; Junjun Jiang; Xiangyang Ji (CoRR, 2023)

The Efficiency Spectrum of Large Language Models: An Algorithmic Survey. - Tianyu Ding; Tianyi Chen; Haidong Zhu; Jiachen Jiang; Yiqi Zhong; Jinxin Zhou; Guangzhi Wang; Zhihui Zhu; Ilya Zharkov; Luming Liang (CoRR, 2023)

Collaborative Uncertainty Benefits Multi-Agent Multi-Modal Trajectory Forecasting. - Bohan Tang; Yiqi Zhong; Chenxin Xu; Wei-Tao Wu; Ulrich Neumann; Ya Zhang 002; Siheng Chen; Yanfeng Wang 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Self-Supervised Bird's Eye View Motion Prediction with Cross-Modality Signals. - Shaoheng Fang; Zuhong Liu; Mingyu Wang; Chenxin Xu; Yiqi Zhong; Siheng Chen (AAAI, 2024)

An Extensible Framework for Open Heterogeneous Collaborative Perception. - Yifan Lu; Yue Hu; Yiqi Zhong; Dequan Wang; Yanfeng Wang 001; Siheng Chen (ICLR, 2024)

Boosting Generalizability towards Zero-Shot Cross-Dataset Single-Image Indoor Depth by Meta-Initialization. - Cho-Ying Wu; Yiqi Zhong; Junying Wang; Ulrich Neumann (IROS, 2024)

Motion Graph Unleashed: A Novel Approach to Video Prediction. - Yiqi Zhong; Luming Liang; Bohan Tang; Ilya Zharkov; Ulrich Neumann (NeurIPS, 2024)

Lightweight Knowledge Distillation-Based Transfer Learning Framework for Rolling Bearing Fault Diagnosis. - Ruijia Lu; Shuzhi Liu; Zisu Gong; Chengcheng Xu; Zonghe Ma; Yiqi Zhong; Baojian Li (Sensors, 2024)