[1] bin chen (2021级研究生); jia-li yin*; shukai chen; bo-hao chen; ximeng liu; an adaptive model ensemble adversarial attack for boosting adversarial transferability, iccv 2023. [ccf-a]
[2] luojun lin, zhifeng shen, jia-li yin, qipeng liu, yuanlong yu, weijie chen; metafbp: learning to learn high-order predictor for personalized facial beauty prediction, acm mm 2023. [ccf-a]
[3] jia-li yin; bin chen; wanqing zhu; bo-hao chen; ximeng liu; push stricter to decide better: a class-conditional feature adaptive framework for improving adversarial robustness, ieee transactions on information forensics and security (tifs), 2023. [ccf-a, 一区, if = 7.231]
[4] wanqing zhu (2021级研究生), jia-li yin*, bo-hao chen, ximeng liu; srouda: meta self-training for robust unsupervised domain adaptation; aaai 2023. [ccf-a]
[5]jian-nan su; min gan; guang-yong chen; jia-li yin; c. l. philip chen; global learnable attention for single image super-resolution, ieee transactions on pattern analysis and machine intelligence (tpami), 2023. [ccf-a, 一区, if = 24.314]
[6] 李应, 印佳丽. 基于多随机森林的低信噪比声音事件检测. 电子学报, 046(011):2705-2713. (ccf a类中文期刊)
[7] jia-li yin; bo-hao chen ; yan-tsung peng ; hau hwang; automatic intermediate generation with deep reinforcement learning for robust two-exposure image fusion, ieee transactions on neural networks and learning systems (tnnls). [ccf-b, 一区,if = 14.255]
[8] jia-li yin; bo-hao chen ; yan-tsung peng ; two exposure fusion using prior-aware generative adversarial network, ieee transactions on multimedia (tmm). [ccf-b, 一区,if = 8.182]
[9] b. h. chen, s. ye, jia-li yin*, h. y. cheng and d. chen, “deep trident decomposition network for single license plate image glare removal,” ieee transactions on intelligent transportation systems (tits). [ccf-b, 一区,if = 9.551]
[10] jia-li yin, b. chen, y. peng, and c. tsai, deep battery saver: end-to-end learning for power constrained contrast enhancement, ieee transactions on multimedia (tmm), 2021, 23: 1049-105 [ccf-b, 一区,if = 8.182]
[11] jia-li yin; bo-hao chen; ying li; highly accurate image reconstruction for multimodal noise suppression using semisuper-vised learning on big data, ieee transaction s on multimedia (tmm), 2018.11, 20(11): 3045-3056.[ccf-b, 一区,if = 8.182]