Ø  1979~1983： 杭州大学数学系数学专业，获理学学士

Ø  1983~1995： 中山大学计算机科学系攻读硕士, 提前攻博 

Ø  1985~1988： 中山大学计算机科学系攻读博士, 获理学博士学位。

Ø  2002.9~ 今：上海交通大学电信电力学院计算机系教授，博士生导师

Ø  1997.11-2002.08：  日本理研 脑科学研究所，研究员

Ø  1995.11-1997.10：  华南理工大学电子与信息学院 教授，博士生导师 

Ø  1990.11-1995.10：  华南理工大学自动化系任 副教授

Ø  1988.07-1990.10：  华南理工大学自动化系任 讲师

1. 统计学习理论与方法：博士生荣誉课程

计算机信息技术的飞速发展带来了医学、生物学、财经和营销等诸多领域的海量数据。理解这些数据是一种挑战，这导致了统计学领域新工具的发展，并延伸到诸如数据挖掘、机器学习和生物信息学等新领域。统计学习与推理侧重研究机器学习与推理的统计特性，本课程介绍从实际应用数据中自动提取规则、模式或结构的基本理论与方法, 使学生掌握基于统计模型的建模、参数识别、模型推理方面的能力。在数据挖掘、人工智能、自然语言处理有着广泛的应用。除了学习统计学习与推理的基本理论与方法外，本课程将提供大型数据分析与建模的课程设计训练，初步掌握解决大型实际系统建模与学习问题的能力。

　　本课程适合人工智能、计算机、模式识别、生物医学工程等专业领域的博士生、硕士研究生。

2. 机器学习（强化）: 永强班专业课程

机器学习是一门多领域交叉学科，涉及概率统计、最优化、算法复杂性、神经科学等多门学科。研究计算机怎样模拟或实现人类的感知、推理、决策、学习行为。重点研究数据驱动的预测系统的学习与推理问题，使得预测系统具有优化的泛化能力和环境适应能力。

本课程旨在介绍机器学习中的基本问题、基础理论和核心算法，并通过课程设计提升学生的系统建模能力和系统实现能力。本课程主要讲授内容包括：机器学习基础、学习机理与优化算法、线性回归与分类、逻辑斯蒂回归、决策树与随机森林、支持向量机、核方法和正则化学习、神经网络与深度学习、数据降维与聚类、隐变量模型与表征学习、概率图模型、前沿课题。

本强化课程重点体现在：强调交叉性，特别机器学习与认知神经科学之间的紧密关联；强化学生的系统建模能力与系统实现能力。在课程学习过程中布置相应的模型与算法实现任务，要求学生设计机器学习程序来完成多个人工智能任务。最终通过一个综合的课程设计训练学生综合解决实际问题的能力。

近五年发表的论文：

1.                      Jianfu Zhang, Yan Hong, Dawei Cheng, Liqing Zhang, Qibin Zhao:  Defending adversarial attacks in Graph Neural Networks via tensor enhancement. Pattern Recognit. 158: 110954 (2025)

2.                Siyu Sun, Han Lu, Jiangtong Li, Yichen Xie, Tianjiao Li, Xiaokang Yang, Liqing Zhang, Junchi Yan: Rethinking Classifier Re-Training in Long-Tailed Recognition: Label Over-Smooth Can Balance. ICLR 2025

3.                      Yichen Wang, Yiyi Zhang, Xinhao Hu, Li Niu, Jianfu Zhang, Yasushi Makihara, Yasushi Yagi, Pai Peng, Wenlong Liao, Tao He, Junchi Yan, Liqing Zhang: Pedestrian Motion Reconstruction: A Large-scale Benchmark via Mixed Reality Rendering with Multiple Perspectives and Modalities. ICLR 2025

4.                      Zhaohe Liao, Jiangtong Li, Siyu Sun, Qingyang Liu, Fengshun Xiao, Tianjiao Li, Qiang Zhang, Guang Chen, Li Niu, Changjun Jiang, Liqing Zhang: Divide and Conquer: Exploring Language-centric Tree Reasoning for Video Question-Answering. ICML 2025

5.                      Yikun Ji, Yan Hong, Jiahui Zhan, Haoxing Chen, Jun Lan, Huijia Zhu, Weiqiang Wang, Liqing Zhang, Jianfu Zhang: Towards Explainable Fake Image Detection with Multi-Modal Large Language Models. ACM Multimedia 2025: 4398-4407

6.                      Yuxuan Duan, Li Niu, Yan Hong, Liqing Zhang: WeditGAN: Few-Shot Image Generation via Latent Space Relocation. AAAI 2024: 1653-1661

7.                      Li Niu, Junyan Cao, Yan Hong, Liqing Zhang: Painterly Image Harmonization by Learning from Painterly Objects. AAAI 2024: 4343-4351

8.                      Li Niu, Yan Hong, Junyan Cao, Liqing Zhang: Progressive Painterly Image Harmonization from Low-Level Styles to High-Level Styles. AAAI 2024: 4352-4360

9.                      Zhaohe Liao, Jiangtong Li, Li Niu, Liqing Zhang: Align and Aggregate: Compositional Reasoning with Video Alignment and Answer Aggregation for Video Question-Answering. CVPR 2024: 13395-13404

10.                   Zhaohe Liao, Jiangtong Li, Jun Lan, Huijia Zhu, Weiqiang Wang, Li Niu, Liqing Zhang: COIN-Matting: Confounder Intervention for Image Matting. ECCV (19) 2024: 382-397

11.                   Jianfu Zhang, Yan Hong, Dawei Cheng, Liqing Zhang, Qibin Zhao: Hierarchical Attacks on Large-Scale Graph Neural Networks. ICASSP 2024: 7635-7639

12.              Yuxuan Duan, Yan Hong, Bo Zhang, Jun Lan, Huijia Zhu, Weiqiang Wang, Jianfu Zhang, Li Niu, Liqing Zhang: DomainGallery: Few-shot Domain-driven Image Generation by Attribute-centric Finetuning. NeurIPS 2024

13.                   Yiyi Zhang, Li Niu, Yasushi Makihara, Jianfu Zhang, Weijie Zhao, Yasushi Yagi, Liqing Zhang: Natural Image Matting with Attended Global Context. J. Comput. Sci. Technol. 38(3): 659-673 (2023)

14.                   Wentao Wang, Lu He, Li Niu, Jianfu Zhang, Yue Liu, Haoyu Ling, Liqing Zhang: Diverse image inpainting with disentangled uncertainty. Pattern Recognit. 137: 109243 (2023)

15.                   Dawei Cheng, Zhibin Niu, Liqing Zhang: Delinquent Events Prediction in Temporal Networked-Guarantee Loans. IEEE Trans. Neural Networks Learn. Syst. 34(4): 1692-1704 (2023)

16.                   Zhangxuan Gu, Siyuan Zhou, Li Niu, Zihan Zhao, Liqing Zhang: From Pixel to Patch: Synthesize Context-Aware Features for Zero-Shot Semantic Segmentation. IEEE Trans. Neural Networks Learn. Syst. 34(10): 7689-7703 (2023)

17.                   Junjie Chen, Li Niu, Jianfu Zhang, Jianlou Si, Chen Qian, Liqing Zhang: Amodal Instance Segmentation via Prior-Guided Expansion. AAAI 2023: 313-321

18.                   Yuxuan Duan, Yan Hong, Li Niu, Liqing Zhang: Few-Shot Defect Image Generation via Defect-Aware Feature Manipulation. AAAI 2023: 571-578

19.                   Ziqi Pan, Li Niu, Liqing Zhang: Geometric Inductive Biases for Identifiable Unsupervised Learning of Disentangled Representations. AAAI 2023: 9372-9380

20.                   Ziqi Pan, Jianfu Zhang, Li Niu, Liqing Zhang: Isometric Manifold Learning Using Hierarchical Flow. AAAI 2023: 9381-9388

21.                   Chao Wang, Li Niu, Bo Zhang, Liqing Zhang: Image Cropping with Spatial-aware Feature and Rank Consistency. CVPR 2023: 10052-10061

22.                   Jiangtong Li, Li Niu, Liqing Zhang: Knowledge Proxy Intervention for Deconfounded Video Question Answering. ICCV 2023: 2770-2781

23.                   Li Niu, Junyan Cao, Wenyan Cong, Liqing Zhang: Deep Image Harmonization with Learnable Augmentation. ICCV 2023: 7448-7457

24.                   Li Niu, Linfeng Tan, Xinhao Tao, Junyan Cao, Fengjun Guo, Teng Long, Liqing Zhang: Deep Image Harmonization with Globally Guided Feature Transformation and Relation Distillation. ICCV 2023: 7689-7698

25.                   Li Niu, Xing Zhao, Bo Zhang, Liqing Zhang: Fine-grained Visible Watermark Removal. ICCV 2023: 12724-12733

26.                   Lingxiao Lu, Jiangtong Li, Junyan Cao, Li Niu, Liqing Zhang: Painterly Image Harmonization using Diffusion Model. ACM Multimedia 2023: 233-241

27.                   Linfeng Tan, Jiangtong Li, Li Niu, Liqing Zhang: Deep Image Harmonization in Dual Color Spaces. ACM Multimedia 2023: 2159-2167

28.                   Junhong Gou, Siyu Sun, Jianfu Zhang, Jianlou Si, Chen Qian, Liqing Zhang: Taming the Power of Diffusion Models for High-Quality Virtual Try-On with Appearance Flow. ACM Multimedia 2023: 7599-7607

29.                   Li Niu, Shengyuan Huang, Xing Zhao, Liwei Kang, Yiyi Zhang, Liqing Zhang: Hallucinating uncertain motion and future for static image action recognition. Comput. Vis. Image Underst. 215: 103337 (2022)

30.                   Jiangtong Li, Zhixin Ling, Li Niu, Liqing Zhang: Zero-shot sketch-based image retrieval with structure-aware asymmetric disentanglement. Comput. Vis. Image Underst. 218: 103412 (2022)

31.                   Dawei Cheng, Xiaoyang Wang, Ying Zhang, Liqing Zhang: Graph Neural Network for Fraud Detection via Spatial-Temporal Attention. IEEE Trans. Knowl. Data Eng. 34(8): 3800-3813 (2022)

32.                   Jiangtong Li, Li Niu, Liqing Zhang: Action-Aware Embedding Enhancement for Image-Text Retrieval. AAAI 2022: 1323-1331

33.                   Junyan Cao, Wenyan Cong, Li Niu, Jianfu Zhang, Liqing Zhang: Deep Image Harmonization by Bridging the Reality Gap. BMVC 2022: 23

34.                   Zhangxuan Gu, Changhua Meng, Ke Wang, Jun Lan, Weiqiang Wang, Ming Gu, Liqing Zhang: XYLayoutLM: Towards Layout-Aware Multimodal Networks For Visually-Rich Document Understanding. CVPR 2022: 4573-4582

35.                   Wentao Wang, Li Niu, Jianfu Zhang, Xue Yang, Liqing Zhang: Dual-path Image Inpainting with Auxiliary GAN Inversion. CVPR 2022: 11411-11420

36.                   Wenyan Cong, Xinhao Tao, Li Niu, Jing Liang, Xuesong Gao, Qihao Sun, Liqing Zhang: High-Resolution Image Harmonization via Collaborative Dual Transformations. CVPR 2022: 18449-18458

37.                   Jiangtong Li, Li Niu, Liqing Zhang: From Representation to Reasoning: Towards both Evidence and Commonsense Reasoning for Video Question-Answering. CVPR 2022: 21241-21250

38.                   Bo Zhang, Li Niu, Xing Zhao, Liqing Zhang: Human-Centric Image Cropping with Partition-Aware and Content-Preserving Features. ECCV (7) 2022: 181-197

39.                   Yan Hong, Li Niu, Jianfu Zhang, Liqing Zhang: DeltaGAN: Towards Diverse Few-Shot Image Generation with Sample-Specific Delta. ECCV (16) 2022: 259-276

40.                   Siyuan Zhou, Liu Liu, Li Niu, Liqing Zhang: Learning Object Placement via Dual-Path Graph Completion. ECCV (17) 2022: 373-389

41.                   Zhengkai Jiang, Zhangxuan Gu, Jinlong Peng, Hang Zhou, Liang Liu, Yabiao Wang, Ying Tai, Chengjie Wang, Liqing Zhang: STC: Spatio-Temporal Contrastive Learning for Video Instance Segmentation. ECCV Workshops (4) 2022: 539-556

42.                   Xinyuan Lu, Shengyuan Huang, Li Niu, Wenyan Cong, Liqing Zhang: Deep Video Harmonization With Color Mapping Consistency. IJCAI 2022: 1232-1238

43.                   Yan Hong, Li Niu, Jianfu Zhang, Liqing Zhang: Few-shot Image Generation Using Discrete Content Representation. ACM Multimedia 2022: 2796-2804

44.              Junjie Chen, Li Niu, Siyuan Zhou, Jianlou Si, Chen Qian, Liqing Zhang: Weak-shot Semantic Segmentation via Dual Similarity Transfer. NeurIPS 2022

45.              Ziqi Pan, Li Niu, Liqing Zhang: UniGAN: Reducing Mode Collapse in GANs using a Uniform Generator. NeurIPS 2022

46.                   J. Chen, L. Niu and L. Zhang, "Depth Privileged Scene Recognition via Dual Attention Hallucination," in IEEE Trans. on Image Processing, vol. 30, pp. 9164-9178, 2021.

47.                   J. Li, L. Liu, L. Niu and L. Zhang, "Memorize, Associate and Match: Embedding Enhancement via Fine-Grained Alignment for Image-Text Retrieval," in IEEE Transactions on Image Processing, vol. 30, pp. 9193-9207, 2021

48.                   Jianfu Zhang, Li Niu, Liqing Zhang, "Person Re-Identification with Reinforced Attribute Attention Selection", IEEE Transactions on Image Processing, 30: 603-616 (2021)

49.                   Zhangxuan Gu, Li Niu, Haohua Zhao, Liqing Zhang, "Hard Pixel Mining for Depth Privileged Semantic Segmentation", IEEE Transactions on Multimedia, 2021.

50.                   Dawei Cheng, Xiaoyang Wang, Ying Zhang, Liqing Zhang, “Graph Neural Network for Fraud Detection via Spatial-temporal Attention”, IEEE Transactions on Knowledge and Data Engineering, 2021.

51.                   Dawei Cheng, Zhibin Niu, Liqing Zhang, “Delinquent Events Prediction in Temporal Networked-Guarantee Loans”, IEEE Transactions on Neural Networks and Learning Systems, 2021.

52.                   Yiyi Zhang, Yasushi Makihara, Daigo Muramatsu, Jianfu Zhang, Li Niu, Liqing Zhang, Yasushi Yagi: Learn to Walk Across Ages: Motion Augmented Multi-Age Group Gait Video Translation. IEEE Access 9: 40550-40559 (2021)

53.                   程大伟, 牛志彬, 刘新海, 张丽清, 复杂担保网络中传染路径的风险评估,中国科学: 信息科学2021 年

54.                   Junjie Chen · Li Niu · Liu Liu · Liqing Zhang, Weak-shot Fine-grained Classification via Similarity Transfer, NeurIPS2021

55.                   Yan Liu · Zhijie Zhang · Li Niu · Junjie Chen · Liqing Zhang, Mixed Supervised Object Detection by Transferring Mask Prior and Semantic Similarity, NeurIPS2021

56.                   Wentao Wang, Jianfu Zhang, Li Niu, Haoyu Ling, Xue Yang, Liqing Zhang, "Parallel Multi-Resolution Fusion Network for Image Inpainting", ICCV, 2021. pp. 14559-14568

57.                   Lu He, Qianyu Zhou, Xiangtai Li, Li Niu, Guangliang Cheng, Xiao li, Wenxuan Liu, Yunhai Tong, Lizhuang Ma, Liqing Zhang, End-to-End Video Object Detection with Spatial-Temporal Transformers, ACMM2021, Oct 20-24, 2021, Chengdu, China

58.                   Jiangtong Li, Wentao Wang, Junjie Chen, Li Niu, Jianlou Si, Chen Qian, Liqing Zhang , Video Semantic Segmentation with Sparse Temporal Transformer, ACMM2021, Oct 20-24, 2021, Chengdu, China

59.                   Jing Liang, Li Niu, Fengjun Guo, Teng Long, Liqing Zhang, Visible Watermark Removal via Self-calibrated Localization and Background Refinement, ACMM2021, Oct 20-24, 2021, Chengdu, China

60.                   Zhijie Zhang, Yan Liu, Junjie Chen, Li Niu, Liqing Zhang."Depth Privileged Object Detection in Indoor Scenes via Deformation Hallucination", AAAI, 2021

61.                   Liu Liu, Jiangtong Li, Li Niu, Ruicong Xu, Liqing Zhang."Activity Image-to-Video Retrieval by Disentangling Appearance and Motion", AAAI, 2021

62.                   Ziqi Pan, Li Niu, Jianfu Zhang, Liqing Zhang. "Disentangled Information Bottleneck", AAAI, 2021

63.                   Bo Zhang, Li Niu, Liqing Zhang, “Image Composition Assessment with Saliency-augmented Multi-pattern Pooling”, BMVC2021.

64.                   程大伟、牛志彬、张丽清，大规模不均衡担保网络贷款的风险研究，计算机学报，Vol 43, No. 4, pp668-682, 2020.4

65.                   Zhang J, Yang P, Wang W, Yan Hong; Liqing Zhang. Image Editing via Segmentation Guided Self-Attention Network[J]. IEEE Signal Processing Letters, 2020, 27: 1605-1609.

66.                   Yi Tu, Li Niu, Junjie Chen, Dawei Cheng, Liqing Zhang: Learning From Web Data With Self-Organizing Memory Module. CVPR 2020: 12843-12852

67.                   Wenyan Cong, Jianfu Zhang, Li Niu, Liu Liu, Zhixin Ling, Weiyuan Li, Liqing Zhang: DoveNet: Deep Image Harmonization via Domain Verification. CVPR 2020: 8391-8400

68.                   Yi Tu, Li Niu, Weijie Zhao, Dawei Cheng, Liqing Zhang: Image Cropping with Composition and Saliency Aware Aesthetic Score Map. AAAI 2020: 12104-12111

69.                   Ruicong Xu, Li Niu, Jianfu Zhang, Liqing Zhang: A Proposal-Based Approach for Activity Image-to-Video Retrieval. AAAI 2020: 12524-12531

70.                   Yiyi Zhang, Li Niu, Ziqi Pan, Meichao Luo, Jianfu Zhang, Dawei Cheng, Liqing Zhang: Exploiting Motion Information from Unlabeled Videos for Static Image Action Recognition. AAAI 2020: 12918-12925

71.                   Zhangxuan Gu, Siyuan Zhou, Li Niu, Zihan Zhao, Liqing Zhang: Context-aware Feature Generation for Zero-shot Semantic Segmentation. ACM Multimedia 2020: 1921-1929

72.                   Yan Hong, Li Niu, Jianfu Zhang, Weijie Zhao, Chen Fu, Liqing Zhang: F2GAN: Fusing-and-Filling GAN for Few-shot Image Generation. ACM Multimedia 2020: 2535-2543

73.                   Dawei Cheng, Fangzhou Yang, Xiaoyang Wang, Ying Zhang, Liqing Zhang: Knowledge Graph-based Event Embedding Framework for Financial Quantitative Investments. SIGIR 2020: 2221-2230

74.                   Dawei Cheng, Xiaoyang Wang, Ying Zhang, Liqing Zhang: Risk Guarantee Prediction in Networked-Loans. IJCAI 2020: 4483-4489

75.                   Dawei Cheng, Sheng Xiang, Chencheng Shang, Yiyi Zhang, Fangzhou Yang, Liqing Zhang: Spatio-Temporal Attention-Based Neural Network for Credit Card Fraud Detection. AAAI 2020: 362-369