Liu Chang (刘畅)
chang015@e.ntu.edu.sg
Biography
Dr Liu Chang obtained his PhD degree from School of Computer Science and Engineering (SCSE), Nanyang Technological University (NTU), Singapore. He is currently a senior algorithm engineer at Shopee Image Search Team. His research interests include Multi-modal learning, Deep Metric Learning and Video Generation.
Education
2018.07 - 2022.03: PhD in Computer Science, Nanyang Technological University.
2014.09 - 2018.06: B.Eng. in Computer Science, Taishan College, Shandong University.
Experience
202.03 - Now: Senior Algorithm Engineer, Image Search Team, Shopee.
2021.07 - 2021.09: Intern Algorithm Engineer, PDP RCMD Team, Lazada.
2017.07 - 2018.04: Research Assistant, Nanyang Technological University.
Services
Reviewer, TPAMI, CSUR, AAAI'21, AAAI'22, AAAI'23, ICCSE'21
Web Co-Chairs, International Workshop on Federated Learning for User Privacy and Data Confidentiality in Conjunction with IJCAI 2021 (FL-IJCAI'21)
Publications
[IAAI'24] C. Liu, H. Peng, Z. Anxiang, H.Yu. "Transformer-empowered Multi-modal Item Embedding for Enhanced Image Search in E-Commerce". Annual Conference on Innovative Applications of Artificial Intelligence (IAAI'24) (2024). [Arxiv]
[CSUR] C. Liu, H.Yu. "AI-Empowered Persuasive Video Generation: A Survey". ACM Computing Surveys (CSUR) 55.13s (2023): 1-31. [Arxiv]
[CVPR'21] C. Liu, H. Yu, B. Li, Z. Shen, Z. Gao, P. Ren, X. Xie, L. Cui & C. Miao, "Noise-resistant Deep Metric Learning with Ranking-based Instance Selection," in Proceedings of the 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR'21), 2021. [Arxiv][Code][B站-AI研习社][微信-AI科技评论]
[ICME'21] C. Liu, H. Yu, Z. Shen, I. Dixon, Y. Yu, Z. Gao, P. Wang, P. Ren, X. Xie, L. Cui & C. Miao, "Enhancing Viewing Experience of Generated Visual Storylines for Promotional Videos," in Proceedings of the 2021 IEEE International Conference on Multimedia and Expo (ICME'21), 2021.
[IJCAI'20] C. Liu, Z. Y. Lim, H. Yu, Z. Shen, I. Dixon, Z. Gao, P. Wang, P. Ren, X. Xie, L. Cui & C. Miao, "An AI-empowered Visual Storyline Generator," in Proceedings of the 29th International Joint Conference on Artificial Intelligence (IJCAI’20), pp. 5267–5269, 2020. [Youtube] [pdf]
[CVPR'20] G. Li, S. Ding, J. Luo, & C. Liu. "Enhancing Intrinsic Adversarial Robustness via Feature Pyramid Decoder,". In Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR'20), pp. 800-808, 2020. [Arxiv]
[AAAI'20] C. Liu, H. Yu, Y. Dong, Z. Shen, Y. Yu, I. Dixon, Z. Gao, P. Wang, P. Ren, X. Xie, L. Cui & C. Miao, "Generating Engaging Promotional Videos for E-commerce Platforms," in Proceedings of the 34th AAAI Conference on Artificial Intelligence (AAAI'20), pp. 13865–13866, 2020. [link]
[ACM MM Asia'19] Y. Dong, C. Liu, Z. Shen, Z. Gao, P. Wang, C. Zhang, P. Ren, X. Xie, H. Yu & Q. Huang, "Domain Specific and Idiom Adaptive Video Summarization," in Proceedings of the 1st ACM International Conference on Multimedia in Asia (MM Asia’19), pp. 49:1–49:6, 2019. [link]
[CIKM'19] C. Liu, Y. Dong, H. Yu, Z. Shen, Z. Gao, P. Wang, C. Zhang, P. Ren, X. Xie, L. Cui & C. Miao, "Generating Persuasive Visual Storylines for Promotional Videos," in Proceedings of the 28th ACM International Conference on Information and Knowledge Management (CIKM’19), pp. 901–910, 2019. [Arxiv] [link]
[ACM MM'19] Y. Dong, C. Liu, Z. Shen, Z. Gao, P. Wang, C. Zhang, P. Ren, X. Xie & H. Yu, "Personalized Video Summarization with Idiom Adaptation," in Proceedings of the 27th ACM Multimedia Conference (ACM MM’19), pp. 1041–1043, 2019. [link]
[CIKM'17] C. Liu, Y. Zhang, L. Liu, L. Cui, D. Yuan & C. Miao, "Crowd-enabled Pareto-Optimal Objects Finding Employing Multi-Pairwise-Comparisons Questions," in Proceedings of the 26th ACM International Conference on Information and Knowledge Management (CIKM’17), pp. 287–295, 2019. [link]
- Preprint
C. Liu, H. Yu, B. Li, Z. Shen, Z. Gao, P. Ren, X. Xie & L. Cui. "Noise-Resistant Deep Metric Learning with Probabilistic Instance Filtering". arXiv preprint arXiv:2108.01431. [Arxiv]
G. Li, C. Liu, H. Yu, Y. Fan, L. Zhang, Z. Wang & M. Wang, "SCNet: A Neural Network for Automated Side-Channel Attack," arXiv preprint arXiv:2008.00476. [Arxiv]