Nie, Zaiqing

22 publications

ICCV 2025 CoopTrack: Exploring End-to-End Learning for Efficient Cooperative Sequential Perception Jiaru Zhong, Jiahao Wang, Jiahui Xu, Xiaofan Li, Zaiqing Nie, Haibao Yu

AAAI 2025 End-to-End Autonomous Driving Through V2X Cooperation Haibao Yu, Wenxian Yang, Jiaru Zhong, Zhenwei Yang, Siqi Fan, Ping Luo, Zaiqing Nie

ICML 2025 SToFM: A Multi-Scale Foundation Model for Spatial Transcriptomics Suyuan Zhao, Yizhen Luo, Ganbo Yang, Yan Zhong, Hao Zhou, Zaiqing Nie

ICML 2024 ESM All-Atom: Multi-Scale Protein Language Model for Unified Molecular Modeling Kangjie Zheng, Siyu Long, Tianyu Lu, Junwei Yang, Xinyu Dai, Ming Zhang, Zaiqing Nie, Wei-Ying Ma, Hao Zhou

ICML 2024 LangCell: Language-Cell Pre-Training for Cell Identity Understanding Suyuan Zhao, Jiahuan Zhang, Yushuai Wu, Yizhen Luo, Zaiqing Nie

NeurIPS 2024 Learning Cooperative Trajectory Representations for Motion Forecasting Hongzhi Ruan, Haibao Yu, Wenxian Yang, Siqi Fan, Zaiqing Nie

ICML 2024 Mol-AE: Auto-Encoder Based Molecular Representation Learning with 3D Cloze Test Objective Junwei Yang, Kangjie Zheng, Siyu Long, Zaiqing Nie, Ming Zhang, Xinyu Dai, Wei-Ying Ma, Hao Zhou

NeurIPS 2024 MutaPLM: Protein Language Modeling for Mutation Explanation and Engineering Yizhen Luo, Zikun Nie, Massimo Hong, Suyuan Zhao, Hao Zhou, Zaiqing Nie

CVPR 2024 RCooper: A Real-World Large-Scale Dataset for Roadside Cooperative Perception Ruiyang Hao, Siqi Fan, Yingru Dai, Zhenlin Zhang, Chenxi Li, Yuntian Wang, Haibao Yu, Wenxian Yang, Jirui Yuan, Zaiqing Nie

NeurIPS 2023 Flow-Based Feature Fusion for Vehicle-Infrastructure Cooperative 3D Object Detection Haibao Yu, Yingjuan Tang, Enze Xie, Jilei Mao, Ping Luo, Zaiqing Nie

CVPR 2023 V2X-Seq: A Large-Scale Sequential Dataset for Vehicle-Infrastructure Cooperative Perception and Forecasting Haibao Yu, Wenxian Yang, Hongzhi Ruan, Zhenwei Yang, Yingjuan Tang, Xu Gao, Xin Hao, Yifeng Shi, Yifeng Pan, Ning Sun, Juan Song, Jirui Yuan, Ping Luo, Zaiqing Nie

AAAI 2022 Contribution-Aware Federated Learning for Smart Healthcare Zelei Liu, Yuanyuan Chen, Yansong Zhao, Han Yu, Yang Liu, Renyi Bao, Jinpeng Jiang, Zaiqing Nie, Qian Xu, Qiang Yang

CVPR 2022 DAIR-V2X: A Large-Scale Dataset for Vehicle-Infrastructure Cooperative 3D Object Detection Haibao Yu, Yizhen Luo, Mao Shu, Yiyi Huo, Zebang Yang, Yifeng Shi, Zhenglong Guo, Hanyu Li, Xing Hu, Jirui Yuan, Zaiqing Nie

AAAI 2019 Learning Personalized End-to-End Goal-Oriented Dialog Liangchen Luo, Wenhao Huang, Qi Zeng, Zaiqing Nie, Xu Sun

AAAI 2018 CoChat: Enabling Bot and Human Collaboration for Task Completion Xufang Luo, Zijia Lin, Yunhong Wang, Zaiqing Nie

AAAI 2018 CoLink: An Unsupervised Framework for User Identity Linkage Zexuan Zhong, Yong Cao, Mu Guo, Zaiqing Nie

IJCAI 2016 Grounding Topic Models with Knowledge Bases Zhiting Hu, Gang Luo, Mrinmaya Sachan, Eric P. Xing, Zaiqing Nie

AAAI 2014 Learning Word Representation Considering Proximity and Ambiguity Lin Qiu, Yong Cao, Zaiqing Nie, Yong Yu, Yong Rui

IJCAI 2013 Joint Proceedings of the Workshop on AI Problems and Approaches for Intelligent Environments and Workshop on Semantic Cities, AIIP/Semantic Cities@IJCAI 2013, Beijing, China, August 4-5, 2013 Sebastian Bader, Anika Schumann, Stephan Sigg, Freddy Lécué, Biplav Srivastava, Zaiqing Nie, Christian Guttmann

JMLR 2008 Dynamic Hierarchical Markov Random Fields for Integrated Web Data Extraction Jun Zhu, Zaiqing Nie, Bo Zhang, Ji-Rong Wen

ICML 2007 Dynamic Hierarchical Markov Random Fields and Their Application to Web Data Extraction Jun Zhu, Zaiqing Nie, Bo Zhang, Ji-Rong Wen

ICML 2005 2D Conditional Random Fields for Web Information Extraction Jun Zhu, Zaiqing Nie, Ji-Rong Wen, Bo Zhang, Wei-Ying Ma