ISCL算法团队介绍

算法团队简介

南京大学智能感知与通信实验室——算法团队成立于20228月,由实验室硕、博研究生组成,致力于探索深度神经网络的高性能算法,在人工智能国际会议与期刊上发表高质量工作,与国内外知名大学(北京大学、清华大学、香港理工大学、香港科技大学、UC BerkeleyUCLAUC IrvineUCSD等)、研究机构(上海人工智能实验室)和企业(大疆、阿里巴巴、美团、PanasonicBMW)合作,为学生提供优质的科研平台、计算资源和深造机会。


招募中,加入我们!

加入我们的团队,在工作中相互成就!

团队开放硕士/博士研究生申请,简历投递至以下邮箱,并注明算法团队:

liuyijiang@smail.nju.edu.cn 或 hejing@nju.edu.cn


News

2024-2-27, 2论文被 CVPR 2024 接收!

2024-1-302论文被 ICRA 2024 接收!

 

发表论文

(CVPR 2024) Liu, Yijiang, et al. PromptCoT: Align Prompt Distribution via Adapted Chain-of-Thought

(CVPR 2024Liu, Yijiang, et al. Cloud-Device Collaborative Learning for Multimodal Large Language Models

(ICRA 2024Li, Jianinget al. Unsupervised Spike Depth Estimation via Cross-modality Cross-domain Knowledge Transfer

(ICRA 2024Zhang, Rongyu, et al. Multi-geometric Space Alignments for Domain Adaptive Multi-view 3D Object Detection

(AAAI 2024Zhang, Rongyu, et al. Efficient Deweather Mixture-of-Experts with Uncertainty-Aware Feature-wise Linear Modulation

(T-IV 2023) Li, Jianing, et al. BEV-LGKD: A Unified LiDAR-Guided Knowledge Distillation Framework for Multi-View BEV 3D Object Detection. IEEE Transactions on Intelligent Vehicles (T-IV). 

(ICCV 2023) Li, Xiuyu, Yijiang Liu, Long Lian, Huanrui Yang, Zhen Dong, Daniel Kang, Shanghang Zhang, and Kurt Keutzer. Q-diffusion: Quantizing diffusion models. In Proceedings of the IEEE/CVF International Conference on Computer Vision, pp. 17535-17545. 2023.

(CVPR 2023) Liu, Yijiang, Huanrui Yang, Zhen Dong, Kurt Keutzer, Li Du, and Shanghang Zhang. NoisyQuant: Noisy Bias-Enhanced Post-Training Activation Quantization for Vision Transformers. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 20321-20330. 2023.

(ICCV 2023) Zhang, Yifan, Zhen Dong, Huanrui Yang, Ming Lu, Cheng-Ching Tseng, Yuan Du, Kurt Keutzer, Li Du, and Shanghang Zhang. QD-BEV: Quantization-aware View-guided Distillation for Multi-view 3D Object Detection. In Proceedings of the IEEE/CVF International Conference on Computer Vision, pp. 3825-3835. 2023.

(DAC 2023) Xiao, Lirui, Huanrui Yang, Zhen Dong, Kurt Keutzer, Li Du, and Shanghang Zhang. Csq: Growing mixed-precision quantization scheme with bi-level continuous sparsification. In 2023 60th ACM/IEEE Design Automation Conference (DAC), pp. 1-6. IEEE, 2023.

 

在读博士生

刘一茳
刘一茳2022级)李嘉宁(2021级)张融宇(2023级)


 

在读研究生

黄雅凤(2021级)张一凡(2021级)


毕业生去向

刘旻哲(杭州阿里达摩院)        

郭若凡(华为南京研究所)

魏华冬(上海地平线人工智能科技有限公司)