个人信息

李长升，beat365正版唯一官网长聘教授，博士生导师，国家级青年人才计划获得者，国家重点研发计划首席科学家。2013年于中科院自动化所取得工学博士学位。主要研究方向包括多模态大模型、自动驾驶、具身智能等。在CCF A/IEEE汇刊等国际顶级会议及期刊上发表学术论文100余篇。其中，以第一作者发表CCF A/IEEE汇刊17篇。先后主持国家重点研发计划项目“社会治理与智慧社会科技支撑（平安中国）”重点专项项目、国家自然科学基金优秀青年科学基金、国家自然科学基金联合基金重点项目、173国防基础加强重点项目课题等项目10余项；参与国家自然科学基金重点项目、173国防基础加强重点项目、装发装备技术基础等。授权中国、美国、日本等国内外发明专利50余件。现担任多个国际顶级期刊和会议的审稿人、程序委员会委员、高级委员、领域主席等。

News: 每年计划招收博士生1人、硕士研究生3至4人。 实验室与华为、蚂蚁金服、美团、百度、腾讯等行业巨头，以及众多海内外高校建立了合作机制，常态化开展学术合作及实习选派。特别欢迎本校保研同学提前进组。实验室提供浓厚的科研氛围与顶会/顶刊发表支持，助你赢在起跑线！

科研方向

多模态大模型、自动驾驶、具身智能等

代表性学术成果

[CVPR 2026]. Chunji Lv, Zequn Chen, Donglin Di, Weinan Zhang, Hao Li, Chen Wei, Yinjie Lei, Changsheng Li*, PhysGM: Large Physical Gaussian Model for Feed-Forward 4D Synthesis, CVPR, 2026, [CCF A].

[NeurIPS 2025] Xi Chen, Kaituo Feng, Changsheng Li*, Xunhao Lai, Xiangyu Yue, Ye Yuan, Guoren Wang Wang, Fira: Can We Achieve Full-rank Training of LLMs Under Low-rank Constraint?, NeurIPS, 2025, [CCF A].

[ICCV 2025] Rongqing Li, Changsheng Li*, Ruilin Lv, Yuhang Li, Yang Gao, Xiaolu Zhang, JUN ZHOU, NATRA: Noise-Agnostic Framework for Trajectory Prediction with Noisy Observations, ICCV, 2025, [CCF A].

[TPAMI 2025] Kaituo Feng, Yikun Miao, Changsheng Li*, Ye Yuan, Guoren Wang, Shared Growth of Graph Neural Networks via Prompted Free-direction Knowledge Distillation, TPAMI, 2025, [CCF A].

[TIP 2024] Shiye Wang, Changsheng Li*, Zeyu Yan, Wanjun Liang, Ye Yuan, Guoren Wang, HAda: Hyper-Adaptive Parameter-efficient Learning for Multi-view ConvNets, TIP, 2024, [CCF A].

[NeurIPS 2024] Yuhang Li, Changsheng Li*, Ruilin Lv, Rongqing Li, Ye Yuan, Guoren Wang, LaKD: Length-agnostic Knowledge Distillation for Trajectory Prediction with Any Length Observations, NeurIPS, 2024, [CCF A].

[TKDE 2024] Rongqing Li, Jiaqi Yu, Changsheng Li*, Wenhan Luo, Ye Yuan, Guoren Wang, DREAM: Domain-agnostic Reverse Engineering Attributes of Black-box Model, TKDE, 2024, [CCF A].

[ICML 2024] Kaituo Feng, Changsheng Li*, Xiaolu Zhang, Jun Zhou, Ye Yuan, Guoren Wang, Keypoint-based Progressive Chain-of-Thought Distillation for LLMs, ICML, 2024, [CCF A].

[CVPR 2024] Kaituo Feng, Changsheng Li*, Dongchun Ren, Ye Yuan, Guoren Wang, On the Road to Portability: Compressing End-to-End Motion Planner for Autonomous Driving, CVPR, 2024, [CCF A].

[KDD 2024] Rongqing Li, Changsheng Li*, Yuhang Li, Hanjie Li, Yi Chen, Ye Yuan, Guoren Wang, ITPNet: Towards Instantaneous Trajectory Prediction for Autonomous Driving, KDD, 2024, [CCF A].

[MM 2024] Shiye Wang, Changsheng Li*, Jialin Tang, Xin Gong, Ye Yuan, Guoren Wang, Importance-aware Shared Parameter Subspace Learning for Domain Incremental Learning, MM, 2024, [CCF A].

[TKDE 2024] Yanming Li, Shiye Wang, Changsheng Li*, Ye Yuan, Guoren Wang, Towards Very Deep Representation Learning for Subspace Clustering, TKDE, 2024, [CCF A].

[TIP 2024] Shiye Wang, Kaituo Feng, Changsheng Li*, Ye Yuan, Guoren Wang, Learning to Generate Parameters of ConvNets for Unseen Image Data, TIP, 2024, [CCF A].

[TKDE 2024] Hanjie Li, Changsheng Li*, Kaituo Feng, Ye Yuan, Guoren Wang, Hongyuan Zha, Robust Knowledge Adaptation for Dynamic Graph Neural Networks, TKDE, 2024, [CCF A].

[ICLR 2023] Kaituo Feng, Changsheng Li*, Xiaolu Zhang, Jun Zhou, Towards Open Temporal Graph Neural Networks, ICLR, 2023

[TNNLS 2023] Yanjiang Yu, Puyang Zhang, Kaihao Zhang, Wenhan Luo, Changsheng Li*, Multi-Prior Learning via Neural Architecture Search for Blind Face Restoration, TNNLS, 2023.

[NeurIPS 2023] Rongqing Li, Changsheng Li*, Dongchun Ren, Guangyi Chen, Ye Yuan, Guoren Wang, BCDiff: Bidirectional Consistent Diffusion for Instantaneous Trajectory Prediction, NeurIPS, 2023, [CCF A].

[TIP 2023] Shiye Wang, Changsheng Li*, Yanming Li, Ye Yuan, Guoren Wang, Self-Supervised Information Bottleneck for Deep Multi-View Subspace Clustering, TIP, 2023, [CCF A].

[KDD 2022] Kaituo Feng, Changsheng Li*, Ye Yuan, Guoren Wang, Free-direction Knowledge Distillation via Reinforcement Learning for Graph Neural Networks, KDD, 2022, [CCF A].

[TIP 2022] Changsheng Li, Handong Ma, Ye Yuan, Guoren Wang, Dong Xu, Structure Guided Deep Neural Network for Unsupervised Active Learning, IEEE Transactions on Image Processing (TIP), 2022, [CCF A].

[TIP 2022] Changsheng Li, Rongqing Li, Ye Yuan, Guoren Wang, Dong Xu, Deep Unsupervised Active Learning via Matrix Sketching, IEEE Transactions on Image Processing (TIP), 2021, [CCF A].

[AAAI 2021] Changsheng Li, Chen Yang, Bo Liu, Ye Yuan, Guoren Wang, LRSC: Learning Representations for Subspace Clustering, AAAI Conference on Artificial Intelligence (AAAI- 21), 2021, [CCF A].

[AAAI 2021] Changsheng Li, Kaihang Mao, Lingyan Liang, Dongchun Ren, Wei Zhang, Ye Yuan, Guoren Wang, Unsupervised Active Learning via Subspace Learning, AAAI Conference on Artificial Intelligence (AAAI-21), 2021, [CCF A]

[TETCI 2020] Changsheng Li, Chen Yang, Lingyan Liang, Ye Yuan, Guoren Wang，On Robust Grouping Active Learning, IEEE Transactions on Emerging Topics in Computational Intelligence, 2020.

[IJCAI 2020] Changsheng Li; Handong Ma; Zhao Kang; Ye Yuan; Xiao-Yu Zhang, Guoren Wang*, On Deep Unsupervised Active Learning, International Joint Conferences on Artificial Intelligence (IJCAI), 2020. [CCF A]

[TNNLS 2020] Xiao-Yu Zhang#, Changsheng Li#, Haichao Shi*, Xiaobin Zhu, Peng Li, Jing Dong, AdapNet: Adaptability Decomposing Encoder-Decoder Network for Weakly Supervised Action Recognition and Localization, To Appear in IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2020, [中科院JCR-1区].

[TNNLS 2019]  Changsheng Li, Chong Liu, Lixin Duan*, Peng Gao, Kai Zheng, Reconstruction regularized deep metric learning for multi-label image classification, online, IEEE transactions on neural networks and learning systems (TNNLS), 2019.

[TPAMI 2019] Changsheng Li, Xiangfeng Wang, Weishan Dong, Junchi Yan, Qingshan Liu, Hongyuan Zha, Joint Active Learning with Feature Selection via CUR Matrix Decomposition, IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2019，[CCF A].

[TPAMI 2019] Changsheng Li*, Fan Wei, Weishan Dong, Qingshan Liu*, Xiangfeng Wang, Xin Zhang, Dynamic Structure Embedded Online Multiple-Output Regression for Streaming Data, IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2019，[CCF A].

[TNNLS 2018] Changsheng Li, Fan Wei, Junchi Yan, Xiaoyu Zhang, Qingshan Liu, Hongyuan Zha, A Self-Paced Regularization Framework for Multilabel Learning, IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2018, [中科院JCR-1区].

[AAAI 2017] Changsheng Li, Junchi Yan*, Fan Wei, Weishan Dong, Qingshan Liu, Hongyuan Zha, Self-paced Multi-task Learning, The 31th AAAI Conference on Artificial Intelligence (AAAI-17), 2017, [CCF A].

[AAAI 2016] Changsheng Li, Fan Wei, Weishan Dong, Xiangfeng Wang, Junchi Yan, Xiaobin Zhu, Qingshan Liu, Xin Zhang, Spatially Regularized Streaming Sensor Selection, The 30th AAAI Conference on Artificial Intelligence (AAAI-16), 2016, [CCF A].

[TNNLS 2016] Changsheng Li, Qingshan Liu, Weishan Dong, Fan Wei, Xin Zhang, Lin Yang, Max-Margin based Discriminative Feature Learning, IEEE Trans. on Neural Networks and Learning Systems, 2016, [中科院JCR-1区].

[TC 2015] Changsheng Li, Qingshan Liu, Weishan Dong, Xiaobin Zhu, Jing Liu, Hanqing Lu, Human Age Estimation Based on Locality and Ordinal Information, IEEE Transaction on Cybernetics (TC), 2015,  [中科院JCR-1区].

[TNNLS 2015] Changsheng Li, Qingshan Liu, Jing Liu, Hanqing Lu, Ordinal Distance Metric Learning for Image Ranking, IEEE Transaction on Neural Network and Learning Systems (TNNLS), 2015, [中科院JCR-1区].

[CVPR 2012] Changsheng Li, Qingshan Liu, Jing Liu, Hanqing Lu, Learning ordinal discriminative features for age estimation, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2570-2577, 2012, [CCF A].

承担科研情况

1. 国家自然科学基金委优青项目，大数据分析， 2022.01- 2024.12， 主持，在研

2. 国家重点研发计划，科技奥运互动发展与成果集成评估技术研究， 2021.08-2022.12, 课题负责人，在研

3. 国家自然科学基金委联合基金重点项目，大规模数据驱动的机器学习理论与方法，2021.01-2024.12, 主要参与人，在研

4. 国家自然科学基金委重点项目，面向领域大数据的事件知识图谱构建研究，2019.01-2022.12, 参与人，在研

5. 国家自然科学基金委青年项目，面向流式数据的在线自步多任务特征学习研究，2019.01-2021.12，主持，已结题

6. 华为委托项目，基于Python的机器学习分布式框架技术，2020.8-2022.2, 主持，已结题

7. 美团委托项目，道路环境中的行人精准感知，2020.10-2021.10，主持，已结题

8. 中电科29所委托项目，***小样本数据增强与目标识别技术, 2020.10-2022.4，主持，在研

9. 平安科技委托项目，医疗图像中的主动学习技术，2018.6-2019.6，主持，已结题

所获奖励

社会兼职

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