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22 23 24</head> 25 26 27<body> 28 29<div id="layout-content" style="margin-top:25px"> 30 31 32<table> 33 <tbody> 34 <tr> 35 <td width="75%"> 36 <div id="toptitle"> 37 <h1>Shanshan Ye<h1> 38 </div> 39 40 <h3>Postdoc Researcher</h3> 41 42 <p> 43 <a HREF="https://mbzuai.ac.ae/research-department/machine-learning-department/"> Department of Machine Learning </a><br> 44 <a href="https://mbzuai.ac.ae/"> Mohamed Bin Zayed University of Artificial Intelligence </a><br> 45 <p> 46 Address: Residential Building (Biofuel Block) - Masdar City - SE45 05 - Abu Dhabi - United Arab Emirates <br> 47 Email: shanshan.ye_at_mbzuai.ac.ae </br> 48 </p> 49 <p> 50 <a href="https://scholar.google.com.au/citations?user=kwBpg-iSJ7QC&hl=en">[Google Scholar]</a> 51 <a href="https://openreview.net/profile?id=~Shanshan_Ye1">[OpenReview]</a> 52 </p> 53 </p> 54 </td> 55 <tr> 56 </tbody> 57</table> 58 59<h2>Biography</h2> 60 61<p> 62 I am currently a postdoc researcher with the Machine Learning Department at the Mohamed Bin Zayed Unviersity of AI. I got my PhD degree in AI from University of Technology Sydney (UTS), supervised by <a href="https://profiles.uts.edu.au/Jie.Lu" target="_blank">Prof Jie Lu</a> and <a href="https://profiles.uts.edu.au/Guangquan.Zhang" target="_blank">Prof Guangquan Zhang</a>. I obtained my master degree from the The University of New South Wales and bechalor degree from The University of Sydney. I am interested in robust recommender systems, foundation models and information retrieval, and trustworhty AI. 63</p> 64 65 66<h2>Awards</h2> 67 68<ul> 69 <li><p> Faculty of Engineering and Information Technology Research Scholarship - University of Technology Sydney, 2022-2026</p></li> 70</ul> 71 72 73<h2>Selected Publications</h2> 74 75<ul> 76 <li><p> 77 PARS: Partial-Label-Learning-inspired Recommender Systems [<A HREF="https://ojs.aaai.org/index.php/AAAI/article/view/40002/43963">paper</A>] <a style="color: red;">(oral)</a><br> 78 <b>Shanshan Ye</b>, Kezhi Lu, Guangquan Zhang, Jie Lu<br> 79 Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2026.<br> 80 </p></li> 81 82 <li><p> 83 Forgetting: A New Mechanism Towards Better Large Language Model Fine-tuning [<A HREF="https://arxiv.org/abs/2508.04329">paper</A>]<br> 84 Ali Taheri, Alireza Taban, Qizhou Wang, <b>Shanshan Ye</b>, Abdolreza Mirzaei, Tongliang Liu, Bo Han<br> 85 Transactions on Machine Learning Research (TMLR), 2026.<br> 86 </p></li> 87 88 <li><p> 89 Explainable LLM Unlearning through Reasoning [<A HREF="https://openreview.net/forum?id=wec4qy2XIF">paper</A>]<br> 90 Junfeng Liao, Qizhou Wang, <b>Shanshan Ye</b>, Xin Yu, Ling Chen, Zhen Fang<br> 91 The Fourteenth International Conference on Learning Representations (ICLR), 2026.<br> 92 </p></li> 93 94 <li><p> 95 Towards understanding valuable preference data for large language model alignment [<A HREF="https://openreview.net/forum?id=FUp0KeEEBs">paper</A>]<br> 96 Zizhuo Zhang, Qizhou Wang, <b>Shanshan Ye</b>, Jianing Zhu, Jiangchao Yao, Bo Han, Masashi Sugiyama<br> 97 The Fourteenth International Conference on Learning Representations (ICLR), 2026.<br> 98 </p></li> 99 100 101 <li><p> 102 Towards Safe Machine Unlearning: A Paradigm that Mitigates Performance Degradation [<A HREF="https://openreview.net/forum?id=0TydpJriuR#discussion">paper</A>]<br> 103 <b>Shanshan Ye</b>, Jie Lu, Guangquan Zhang<br> 104 ACM Web Conference (WWW), 2025.<br> 105 </p></li> 106 107 108 <li><p> 109 FLUID-MMRec: Stein-Guided Entropic Flow for Multi-Modal Sequential Recommendation [<A HREF="https://arxiv.org/abs/2507.04651">paper</A>]<br> 110 Maolin Wang, Yutian Xiao, Binhao Wang, Sheng Zhang, <b>Shanshan Ye</b>, Wanyu Wang, Hongzhi Yin, Ruocheng Guo, Zenglin Xu<br> 111 The 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2025.<br> 112 </p></li> 113 114 <li><p> 115 Training-free LLM Merging for Multi-task Learning [<A HREF="https://arxiv.org/abs/2506.12379">paper</A>]<br> 116 Zichuan Fu, Xian Wu, Yejing Wang, Wanyu Wang, <b>Shanshan Ye</b>, Hongzhi Yin, Yi Chang, Yefeng Zheng, Xiangyu Zhao<br> 117 The 63rd Annual Meeting of the Association for Computational Linguistics (ACL), 2025.<br> 118 </p></li> 119 120 121 <li><p> 122 MiraGe: Multimodal Discriminative Representation Learning for Generalizable AI-Generated Image Detection [<A HREF="https://dl.acm.org/doi/abs/10.1145/3746027.3755142">paper</A>]<br> 123 Kuo Shi, Jie Lu, <b>Shanshan Ye</b>, Guangquan Zhang, Zhen Fang<br> 124 The ACM Multimedia Conference (ACM MM), 2025.<br> 125 </p></li> 126 127 128 <li><p> 129 DANCE: Resource-Efficient Neural Architecture Search with Data-Aware and Continuous Adaptation [<A HREF="https://arxiv.org/abs/2507.04671">paper</A>]<br> 130 Maolin Wang, Tianshuo Wei, Sheng Zhang, Ruocheng Guo, Wanyu Wang, <b>Shanshan Ye</b>, Lixin Zou, Xuetao Wei, Xiangyu Zhao<br> 131 The 34th International Joint Conference on Artificial Intelligence (IJCAI), 2025.<br> 132 </p></li> 133 134 <li><p> 135 Out-of-distribution detection with virtual outlier smoothing [<A HREF="https://link.springer.com/article/10.1007/s11263-024-02210-8">paper</A>]<br> 136 Jun Nie, Yadan Luo, <b>Shanshan Ye</b>, Yonggang Zhang, Xinmei Tian, and Zhen Fang<br> 137 International Journal of Computer Vision (IJCV), vol. 133, pp. 724-741, 2024.<br> 138 </p></li> 139 140 <li><p> 141 Robust Recommender Systems with Rating Flip Noise [<A HREF="https://openreview.net/forum?id=0TydpJriuR#discussion">paper</A>]<br> 142 <b>Shanshan Ye</b> and Jie Lu<br> 143 ACM Trans. Intelligent Systems and Technology (ACM TIST), vol. 16, no. 11, pp. 1-19, 2024.<br> 144 </p></li> 145 146 147 <li><p> 148 Sequence unlearning for sequential recommender systems [<A HREF="https://link.springer.com/chapter/10.1007/978-981-99-8388-9_33">paper</A>]<br> 149 <b>Shanshan Ye</b> and Jie Lu<br> 150 Australasian Joint Conference on Artificial Intelligence (AJCAI), 2023.<br> 151 </p></li> 152 153</ul> 154 155 156<h2>Academic Services</h2> 157 158<ul> 159 <li><p> Conference Reviewer: CVPR; ICML; NeurIPS; AAAI; IJCAI; ACM MM; ACM Web Conference; IJCNN; AJCAI </p></li> 160 <li><p> Journal Reviewer: IEEE Transactions on Pattern Analysis and Machine Intelligence; ACM Transactions on Intelligent Systems and Technology; Knowledge-Based Systems; Neural Networks </p></li> 161</ul> 162 163<table width="100%"> 164 <tr> 165 <td align="center"> Last update: Feb 2025</td> 166 </tr> 167</table> 168 169</div> 170</body> 171</html>
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