add: 2 papers

_bibliography/pubs.bib

@@ -99,6 +99,14 @@ @inproceedings{lu2023fedclip
   code={https://github.com/microsoft/PersonlizedFL},
 }
 
+@article{li2023mutual,
+  title={A mutual learning framework for pruned and quantized networks},
+  author={Li, Xiaohai and Chen, Yigiang and Wang, Jindong},
+  journal={Journal of Computer Science \& Technology},
+  volume={23},
+  year={2023}
+}
+
 @inproceedings{wang2022usb,
   title={USB: A Unified Semi-supervised Learning Benchmark},
   author={Wang, Yidong and Chen, Hao and Fan, Yue and Sun, Wang and Tao, Ran and Hou, Wenxin and Wang, Renjie and Yang, Linyi and Zhou, Zhi and Guo, Lan-Zhe and Qi, Heli and Wu, Zhen and Li, Yu-Feng and Nakamura, Satoshi and Ye, Wei and Savvides, Marios and Raj, Bhiksha and Shinozaki, Takahiro and Schiele, Bernt and Wang, Jindong and Xie, Xing and Zhang, Yue},
@@ -269,6 +277,16 @@ @article{hou2022exploiting
   code={https://github.com/jindongwang/transferlearning/tree/master/code/ASR/Adapter}
 }
 
+@article{xu2022hierarchical,
+  title={Hierarchical knowledge amalgamation with dual discriminative feature alignment},
+  author={Xu, Renjun and Liang, Shuoying and Wen, Lanyu and Guo, Zhitong and Huang, Xinyue and Song, Mingli and Wang, Jindong and Xu, Xiaoxiao and Chen, Huajun},
+  journal={Information Sciences},
+  volume={613},
+  pages={556--574},
+  year={2022},
+  publisher={Elsevier}
+}
+
 @inproceedings{chen2022metafed,
   title={MetaFed: Federated Learning among Federations with Cyclic Knowledge Distillation for Personalized Healthcare},
   author={Chen, Yiqiang and Lu, Wang and Qin, Xin and Wang, Jindong and Xie, Xing},