Publications

Li-Ming Zhan, Haowen Liang, Bo Liu, Lu Fan, Xiao-Ming Wu*, Albert Y.S. Lam (2021). Out-of-Scope Intent Detection with Self-Supervision and Discriminative Training. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics (ACL) (Long Paper), August 2021 (Oral presentation).

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Ping Li, Bin Sheng, C. L. Philip Chen (2021). “Face sketch synthesis using regularized broad learning system. In IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021.

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Guangyuan Shi,, Jiaxin Chen, Wenlong Zhang, Li-Ming Zhan, Xiao-Ming Wu* (2021). Overcoming Catastrophic Forgetting in Incremental Few-Shot Learning by Finding Flat Minima. In Proceedings of the Thirty-fifth Conference on Neural Information Processing Systems (NeurIPS), December 2021(Spotlight Presentation).

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Q. Hu, Bo Yang* (2021). Learning Semantic Segmentation of Large-Scale Point Clouds with Random Sampling. In IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021.

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A. Trevithick, B. Yang (2021). GRF: Learning a General Radiance Field for 3D Representation and Rendering. In IEEE International Conference on Computer Vision (ICCV), 2021.

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Sen Li,, Fuyu Lv,, Taiwei Jin,, Guli Lin,, Keping Yang,, Xiaoyi Zeng,, Xiao-Ming Wu*, Qianli Ma (2021). Embedding-based Product Retrieval in Taobao Search. In Proceedings of the 27th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD) (Applied Data Science Track), August 2021.

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Haode Zhang, Yuwei Zhang, Li-Ming Zhan, Jiaxin Chen, Guangyuan Shi,, Xiao-Ming Wu*, Albert Y.S. Lam (2021). Effectiveness of Pre-training for Few-shot Intent Classification. In Findings of the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP) (short paper), November 2021.

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Qimai Li, Xiaotong Zhang, Han Liu, Quanyu Dai, Xiao-Ming Wu* (2021). Dimensionwise Separable 2-D Graph Convolution for Unsupervised and Semi-Supervised Learning on Graphs. In Proceedings of the 27th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD) (Research Track), August 2021.

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Bo Liu, Li-Ming Zhan, Xiao-Ming Wu* (2021). Contrastive Pre-training and Representation Distillation for Medical Visual Question Answering Based on Radiology Images. In Proceedings of the 24th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), September 2021.

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Yu Wang, Ruonan Liu, Di Lin, Dongyue Chen, Ping Li, Qinghua Hu, C. L. Philip Chen (2021). Coarse-to-Fine: Progressive knowledge transfer-based multitask convolutional neural network for intelligent large-scale fault diagnosis. In IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021.

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Yuxi Jin, Bin Sheng, Ping Li, C. L. Philip Chen (2021). Broad colorization. In IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 32(6), 2330-2343, 2021.

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Zhifeng Xie,, Wenling Zhang,, Bin Sheng, Ping Li, C. L. Philip Chen (2021). BaGFN: Broad attentive graph fusion network for high-order feature interactions. In IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021.

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Jiajia Li, Jie Chen, Bin Sheng, Ping Li, Po Yang, David Dagan Feng,, Jun Qi (2021). Automatic detection and classification system of domestic waste via multimodel cascaded convolutional neural network. In IEEE Transactions on Industrial Informatics (TII), 18(1), 163-173, 2022.

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Gang Fu, Qing Zhang, Lei Zhu, Ping Li, Chunxia Xiao, (2021). A multi-task network for joint specular highlight detection and removal. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 7752-7761, 2021.

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Kevin Man Ho Cheng*, Ajay Kumar (2020). Contactless Biometric Identification using 3D Finger Knuckle Patterns. In IEEE Transactions on Pattern Analysis & Machine Intelligence, pp. 1868-1883, August 2020.

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Hanzhuo Tan*, Ajay Kumar (2020). Towards More Accurate Contactless Fingerprint Minutiae Extraction and Pose-Invariant Matching. In IEEE Transactions on Information Forensics and Security, pp. 3924 - 3937, July 2020.

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Ajay Kumar (2020). Contactless Finger Knuckle Authentication under Severe Pose Deformations. In 8th International Workshop on Biometrics and Forensics, pp. 1-6, Porto, Portugal, May 2020.

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Q. Hu, Bo Yang* (2020). RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020.

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Zijing Zhao*, Ajay Kumar (2019). A Deep Learning based Unified Framework to Detect, Segment and Recognize Irises using Spatially Corresponding Features. In Pattern Recognition, pp. 546-557, October 2019.

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Ritesh Vyas, Ajay Kumar (2019). A Collaborative Approach using Ridge-Valley Minutiae for More Accurate Contactless Fingerprint Identification. In arXiv, 1-15, arXiv, Hong Kong, September 2019.

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Abhinav Anand, Amioy Kumar, Ajay Kumar (2019). Multibiometrics User Recognition using Adaptive Cohort Ranking. In Proc. 12th Intl. Conf. Biometrics, ICB 2019, 1-8, Crete, Greece, June 2019.

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Bo Yang*, N. Trigoni (2019). Learning Object Bounding Boxes for 3D Instance Segmentation on Point Clouds. In Advances in Neural Information Processing Systems (NeurIPS), 2019(Spoltlight, 200/6743).

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Bo Yang*, A. Markham, N. Trigoni (2019). Robust Attentional Aggregation of Deep Feature Sets for Multi-view 3D Reconstruction. In International Journal of Computer Vision (IJCV), 2019.

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W Fan, Y Ma, Q Li, Y He, E Zhao, J Tang, D Yin (2019). Graph neural networks for social recommendation. In The World Wide Web Conference, 417-426, 2019.

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B. Yang, S. Rosa, A. Markham, N. Trigoni, H. Wen (2018). Dense 3D Object Reconstruction from a Single Depth View. In IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2018.

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C. Zhang, P. Lim, A. K. Qin, K. C. Tan (2017). Multiobjective Deep Belief Networks Ensemble for Remaining Useful Life Estimation in Prognostics. In IEEE Transactions on Neural Networks and Learning Systems, vol. 28, no. 10, pp. 2306-2318, Oct. 2017.

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X Mao, Q Li, H Xie, RYK Lau, Z Wang, S Paul Smolley (2017). Least squares generative adversarial networks. In Proceedings of the IEEE international conference on computer vision, 2794-2802, 2017.

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Ajay Kumar, Cyril Kwong (2016). Method of 3D biometrics identification. U. S. Patent No. 9483681, November 2016.

Ajay Kumar, Cyril Kwong (2015). Contactless 3D biometric feature identification system and method thereof. U. S. Patent No. 8953854, February 2015.

Yi Cai, Ho-fung Leung, Qing Li, Huaqing Min, Jie Tang, Juanzi Li (2014). Typicality-based Collaborative Filtering Recommendation. In IEEE Transactions on Knowledge and Data Engineering, 2014.

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Ajay Kumar, Yingbo Zhou (2014). Method and apparatus for human identification using finger imaging. U. S. Patent No. US8872909, October 2014.

Jianfeng Si, Arjun Mukherjee, Bing Liu, Qing Li, Huayi Li, Xiaotie Deng (2013). Exploiting topic based twitter sentiment for stock prediction. In Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013.

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David Zhang, Ajay Kumar (2012). Method of multi-modal biometric recognition using hand-shape and palmprint. U. S. Patent No. 8, 135, 181, March 2012.

Vivek Kanhangad, Ajay Kumar (2011). Personal verification from geometry of human hands. Advanced Topics in Biometrics, H. Li, K.-A. Toh and L. Li (Eds)World Scientific, September 2011.

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Ajay Kumar (2011). Computer vision based fabric defect analysis and measurement. Computer Technology for Textiles and Apparel, J. Hu (Eds), Woodhead Publishing, July 2011.

Ajay Kumar (2011). Dynamic security management in multibiometrics. Multibiometrics for Human Identification, B. Bhanu and V. Govindaraju (Eds), Cambridge University Press, April 2011.

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Xianshun Chen, Yew-Soon Ong, Meng-Hiot Lim, Kay Chen Tan (2011). A multi-facet survey on memetic computation. In IEEE Transactions on Evolutionary Computation (Volume 15, Issue 5), Oct. 2011.

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Ajay Kumar, David Zhang (2010). Ethics and Policy of Biometrics. Springer Verlag, January 2010.

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Ajay Kumar (2009). Rank level fusion. Encyclopedia of Biometrics, Stan Z. Li (Eds), Springer, August 2009.

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Amioy Kumar, Tanvir S. Mundra, Ajay Kumar (2009). Hand anatomy. Encyclopedia of Biometrics, Stan Z. Li (Eds), Springer, August 2009.

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C. Goh, K. C. Tan (2009). A Competitive-Cooperative Coevolutionary Paradigm for Dynamic Multiobjective Optimization. In IEEE Transactions on Evolutionary Computation, vol. 13, no. 1, pp. 103-127, Feb. 2009.

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Kay Chen Tan, Eik Fun Khor, Tong Heng Lee (2006). Multiobjective Evolutionary Algorithms and Applications. In Springer Science & Business Media.

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Grantham Pang, Ajay Kumar (2004). Method of and device for inspecting images to detect defects. U. S. Patent No. 6, 804, 381, October 2004.

Ajay Kumar, Grantham Pang (2004). Defect detection system for quality assurance using automated visual inspection. U. S. Patent No. 6, 753, 965, July 2004.

Kay Chen Tan, Loo Hay Lee, QL Zhu, Ke Ou (2001). Heuristic methods for vehicle routing problem with time windows. In Artificial Intelligence in Engineering,Volume 15, Issue 3,2001.

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P. Vadakkepat, Kay Chen Tan, Wang Ming-Liang (2000). Evolutionary artificial potential fields and their application in real time robot path planning. In Proceedings of the 2000 Congress on Evolutionary Computation. CEC00 (Cat. No.00TH8512), 2000, pp. 256-263 vol.1.

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Dickson KW Chiu, Qing Li, Kamalakar Karlapalem (1999). A meta modeling approach to workflow management systems supporting exception handling. In Information Systems, 1999.

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Yang J, Karlapalem K, Li Q (1997). Algorithms for materialized view design in data warehousing environment. In PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON VERY LARGE DATA BASES,1997.

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