媒体学习与知识推理组
组 长: 王树徽 研究员,黄庆明 教授
Email: wangshuhui [at] ict dot ac dot cn, qmhuang [at] ict dot ac dot cn
课题组简介

    现有教授1人、研究员1人、副研究员2人、博士后1人、博士和硕士研究生20余人。
    迄今已发表学术论文400余篇,其中 IEEE/ACM 汇刊论文和 CCF A 类国际会议论文100余篇, 谷歌学术引用10000余次,申请国内外发明专利30多项(20项已授权),曾获吴文俊人工智能自然科学一等奖、中国图象图形学学会自然科学二等奖、教育部科技进步一等奖、CCF 科技进步奖和黑龙江省自然科学二等奖等奖励。近年来主持承担了国家自然科学基金(杰青、重点、重点国际合作)、973课题、中科院前沿科学研究重点项目等10多项国家和省部级项目的研究工作。


研究内容

1) 跨媒体关联理解

2) 视觉信息表征与分析

3) 知识图谱构建与推理

【获奖情况】

曾获教育部科技进步一等奖、CCF 科技进步奖和黑龙江省自然科学二等奖等奖励。近年来主持承担了国家自然科学基金(杰青、重点、重点国际合作)、973课题、中科院前沿科学研究重点项目等10多项国家和省部级项目的研究工作。
部分论文

刊物论文

  • Junbao Zhuo, Shuhui Wang, and Qingming Huang. Uncertainty Modeling for Robust Domain Adaptation Under Noisy Environments. IEEE Transactions on Multimedia (TMM), 2022. (Accepted)
  • Shilong Bao, Qianqian Xu, Zhiyong Yang, Xiaochun Cao and Qingming Huang. Rethinking Collaborative Metric Learning: Toward an Efficient Alternative without Negative Sampling. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021. (Accepted)
  • Yangbangyan Jiang, Xiaodan Li, Yuefeng Chen, Yuan He, Qianqian Xu, Zhiyong Yang, Xiaochun Cao and Qingming Huang. MaxMatch: Semi-Supervised Learning with Worst-Case Consistency. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022. (Accepted)
  • Zitai Wang, Qianqian Xu, Zhiyong Yang, Yuan He, Xiaochun Cao and Qingming Huang. Optimizing Partial Area Under the Top-k Curve: Theory and Practice. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022. (Accepted)
  • Ke Ma, Qianqian Xu, Jinshan Zeng, Guorong Li, Xiaochun Cao and Qingming Huang. A Tale of HodgeRank and Spectral Method: Target Attack Against Rank Aggregation is the Fixed Point of Adversarial Game. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022. (Accepted)
  • Zhiyong Yang, Qianqian Xu, Shilong Bao, Yuan He, Xiaochun Cao and Qingming Huang. Optimizing Two-way Partial AUC with an End-to-end Framework. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022. (Accepted)
  • Qianqian Xu, Jiechao Xiong, Qingming Huang, Yuan Yao, “Online HodgeRank on Random Graphs for Crowdsourceable QoE Evaluation,” IEEE Transactions on Multimedia, vol.16, no.2, pp.373-386,Feb.2014.
  • Shuhui Wang, Fuzhen Zhuang, Shuqiang Jiang, Qingming Huang, Qi Tian, \" Cluster-sensitive Structured Correlation Analysis for Web cross-modal retrieval,\" Neurocomputing 168: 747-760 (2015)
  • Yanhao Zhang, Lei Qin, Rongrong Ji, Sicheng Zhao, Qingming Huang, Jiebo Luo, \"Exploring Coherent Motion Patterns Via Structured Trajectory Learning for Crowd Mood Modeling,\" IEEE Transactions on Circuits and Systems for Video Technology, vol. 27, no. 3, pp. 635-648, 2017.
  • Yuankai Qi, Shengping Zhang, Lei Qin, Qingming Huang, Hongxun Yao, Jongwoo Lim, Ming-Hsuan Yang, \"Hedging Deep Features for Visual Tracking,\" IEEE Transactions on Pattern Analysis and Machine Intelligence vol. 41 no.5 (2018): 1116-1130.
  • Jun Huang, Guorong Li, Qingming Huang, Xindong Wu, “Joint Feature Selection and Classification for Multi-Label Learning”, IEEE Transactions on Cybernetics, Vol. 48, Issue 3, 2018, 876-889.
  • Qianqian Xu, Jiechao Xiong, Xiaochun Cao, Qingming Huang, Yuan Yao, \"From Social to Individuals:a Parsimonious Path of Multi-Level Models for Crowdsourced Preference Aggregation,\" IEEE Transactions on Pattern  Analysis and Machine Intelligence,vol. 41, no. 4, pp. 844-856, Apr. 2019.
  • Shuhui Wang, Ling Hu, Liang Li, Weigang Zhang, Qingming Huang, "Two-stream deep sparse network for accurate and efficient image restoration," Computer Vision and Image Understanding, Vol. 200, June 2020.
  • Yiling Wu, Shuhui Wang, Qingming Huang, "Online Fast Adaptive Low-Rank Similarity Learning for Cross-Modal Retrieval," IEEE Transactions on Multimedia, vol. 22, no. 5, pp. 1310-1322, May 2020.
  • Qianqian Xu, Jiechao Xiong, Xiaochun Cao, Qingming Huang and Yuan Yao. Evaluating Visual Properties via Robust HodgeRank. International Journal of Computer Vision (IJCV), 129(5):1732-1753, 2021.
  • Xuejing Liu, Liang Li, Shuhui Wang, Zhengjun Zha and Qingming Huang. Local-binarized Very Deep Residual Network for Visual Categorization. Neurocomputing, 430:82-93, 2021.
  • Zhiyong Yang, Qianqian Xu, Xiaochun Cao and Qingming Huang. Task-Feature Collaborative Learning with Application to Personalized Attribute Prediction. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 43(11): 4094-4110, 2021.
  • Zhiyong Yang, Qianqian Xu, Shilong Bao, Xiaochun Cao and Qingming Huang. Learning with Multiclass AUC: Theory and Algorithms. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021. (Accepted)
  • Qianqian Xu, Zhiyong Yang, Yangbangyan Jiang,Xiaochun Cao,Yuan Yao and Qingming Huang. Not All Samples are Trustworthy: Towards Deep Robust SVP Prediction. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020. (Accepted)
  • Tianwei Cao, Qianqian Xu, Zhiyong Yang and Qingming Huang. Meta-Wrapper: Differentiable Wrapping Operator for User Interest Selection in CTR Prediction. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021. (Accepted)

会议论文

  • Sheng Fang, Shuhui Wang, Junbao Zhuo, Xinzhe Han, and Qingming Huang. Learning Linguistic Association Towards Efficient Text-Video Retrieval. European Conference on Computer Vision (ECCV), 2022 (Accepted)
  • Sheng Fang, Shuhui Wang, Junbao Zhuo, Qingming Huang, Bin MA, Xiaoming Wei, and Xiaolin Wei. Concept Propagation via Attentional Knowledge Graph Reasoning for Video-Text Retrieval. ACM Conference on Multimedia (ACM MM), 2022 (Accepted)
  • Junbao Zhuo, Yan Zhu, Shuhao Cui, Shuhui Wang, Bin MA, Qingming Huang, Xiaoming Wei, and Xiaolin Wei. Zero-shot Video Classification with Appropriate Web and Task Knowledge Transfer. ACM Conference on Multimedia (ACM MM), 2022 (Accepted)
  • Wenzheng Hou, Qianqian Xu, Ke Ma, Qianxiu Hao, Qingming Huang. Quaternion Ordinal Embedding. International Joint Conference on Artificial Intelligence (IJCAI), 2066–2072, 2022.
  • Huiyang Shao, Qianqian Xu, Zhiyong Yang, Shilong Bao and Qingming Huang. Asymptotically Unbiased Instance-wise Regularized Partial AUC Optimization: Theory and Algorithm. Annual Conference on Neural Information Processing Systems (NeurIPS), 2022.
  • Peisong Wen, Qianqian Xu, Zhiyong Yang, Yuan He and Qingming Huang. Exploring the Algorithm-Dependent Generalization of AUPRC Optimization with List Stability. Annual Conference on Neural Information Processing Systems (NeurIPS), 2022.
  • Wenzheng Hou, Qianqian Xu, Zhiyong Yang, Shilong Bao, Yuan He and Qingming Huang. AdAUC: End-to-end Adversarial AUC Optimization Against Long-tail Problems. International Conference on Machine Learning (ICML), 8903–8925, 2022.
  • Qianqian Xu, Jiechao Xiong, Zhiyong Yang, Xiaochun Cao, Qingming Huang, Yuan Yao, \"Who Likes What? – SplitLBI in Exploring Preferential Diversity of Rating,\" AAAI Conference on Artificial Intelligence (AAAI 2020), pp. 262-269, 2020.
  • Shuhao Cui, Shuhui Wang, Junbao Zhuo, Chi Su, Qingming Huang, Qi Tian, \"Gradually Vanishing Bridge for Adversarial Domain Adaptation,\" IEEE Conference on Computer Vision and Pattern Recognition(CVPR 2020), pp. 12455-1264, 2020.
  • Shuhao Cui, Shuhui Wang, Junbao Zhuo, liang li, Qingming Huang, Qi Tian, \"Towards Discriminability and Diversity: Batch Nuclear-norm Maximization under Label Insufficient Situations,\" IEEE Conference on Computer Vision and Pattern Recognition(CVPR 2020), pp. 3941-3950, 2020.
  • Beichen Zhang, Liang Li, Shijie Yang, Shuhui Wang, Zheng-Jun Zha, Qingming Huang, "State-Relabeling Adversarial Active Learning," IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2020, pp. 8753-8762, 2020.
  • Dechao Meng, Liang Li, Xuejing Liu, Yadong Li, Shijie Yang, Zheng-Jun Zha, Xingyu Gao, Shuhui Wang, and Qingming Huang, \"Parsing-based View-aware Embedding Network for Vehicle Re-Identification,\" IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2020), pp. 7103-7112, 2020.
  • Xinzhe Han, Shuhui Wang, Chi Su, Weigang Zhang, Qingming Huang, Qi Tian, "Interpretable Visual Reasoning via Probabilistic Formulation Under Natural Supervision," Proceedings of the 16th European Conference on Computer Vision (ECCV), LNCS 12347, Vol.2, pp. 553-570, Glasgow, UK / Cyberspace, August 23-28, 2020.
  • Jun Wei, Shuhui Wang, Zhe Wu, Chi Su, Qingming Huang, Qi Tian, \"Label Decoupling Framework for Salient Object Detection,\" IEEE Conference on Computer Vision and Pattern Recognition(CVPR 2020), pp. 13025-13034, 2020.
  • Xuejing Liu, Liang Li, Shuhui Wang, Zheng-Jun Zha, Dechao Meng, Qingming Huang, "Transferrable Referring Expression Grounding with Concept Transfer and Context Inheritance," 28th ACM International Conference on Multimedia (ACM Multimedia 2020), Seattle, United States, October 12-16, 2020.
  • Zhenhuan Liu, Liang Li, Shaofei Cai, Jincan Deng, Qianqian Xu, Shuhui Wang, Qingming Huang, "IR-GAN: Image Manipulation with Linguistic Instruction by Increment Reasoning," 28th ACM International Conference on Multimedia (ACM Multimedia 2020), Seattle, United States, October 12-16, 2020.
  • Dechao Meng, Liang Li, Shuhui Wang, Xingyu Gao, Zheng-Jun Zha, Qingming Huang, "Fine-grained Feature Alignment with Part Perspective Transformation for Vehicle ReID," 28th ACM International Conference on Multimedia (ACM Multimedia 2020), Seattle, United States, October 12-16, 2020.
  • Shuhao Cui, Xuan Jin, Shuhui Wang, Yuan He, Qingming Huang, "Heuristic Domain Adaptation," The Thirty-fourth Annual Conference on Neural Information Processing Systems(NeurIPS), Dec. 6-12, 2020.
  • Liang Li, Shijie Yang, Li Su, Shuhui Wang, Chenggang Yan, Zhengjun Zha, Qingming Huang, "Diverter-Guider Recurrent Network for Diverse Poems Generation from Image," 28th ACM International Conference on Multimedia (ACM Multimedia 2020), pp.3875–3883, Seattle, United States, October 12-16, 2020.