刘祥根，四川大学计算机学院副研究员；2021年于清华大学博士毕业；2019年-2020年于美国伊利诺伊大学香槟分校联合培养。2021年被四川大学引进特聘副研究员。刘祥根的主要研究方向包括深度神经网络的基础理论及其在自然语言处理和生物信息学领域的应用。他在中国计算机学会（CCF）A类国际会议论文（ICML,ACL,IJCAI）和 SCI 检索学术论文十余篇，参与国家自然科学基金面上项目1项，先后担任 ICML、 IJCAI、 ACL、EMNLP、NeurIPS、AAAI、ACM MM、ICLR等 CCF A 类国际会议的程序会员会委员或审稿人，并多次在著名国际会议上做学术报告。

机器学习、自然语言处理、生物信息学

1. Xianggen Liu, Yunan Luo, Pengyong Li, Sen Song, Jian Peng. Deep geometric representations for modeling effects of mutations on protein-protein binding affinity. PLOS Computational. Biology. 17(8) (2021).

2. Pengyong Li, Jun Wang, Ziliang Li, Yixuan Qiao, Xianggen Liu, Fei Ma, Peng Gao, Sen Song, Guotong Xie. Pairwise Half-graph Discrimination: A Simple Graph-level Self-supervised Strategy for Pre-training Graph Neural Networks. IJCAI 2021: 2694-2700.

3. Hailin Hu, Xianggen Liu, An Xiao, Yangyang Li, Chengdong Zhang, Tao Jiang, Dan Zhao, Sen Song, Jianyang Zeng. Riboexp: an interpretable reinforcement learning framework for ribosome density modeling. Briefings Bioinform. 22(5) (2021).

4. Xianggen Liu, Lili Mou, Fandong Meng, Hao Zhou, Jie Zhou, Sen Song:　Unsupervised Paraphrasing by Simulated Annealing. ACL 2020: 302-312

5. Xianggen Liu, Qiang Liu, Sen Song, Jian Peng: A Chance-Constrained Generative Framework for Sequence Optimization. ICML 2020: 6271-6281.

6. Xianggen Liu, Lili Mou, Haotian Cui, Zhengdong Lu, Sen Song. Finding decision jumps in text classification. Neurocomputing 371: 177-187 (2020).

7. Yihui He, Xianggen Liu, Huasong Zhong, Yuchun Ma: AddressNet: Shift-Based Primitives for Efficient Convolutional Neural Networks. WACV 2019: 1213-1222.

8. Zhengdong Lu, Xianggen Liu, Haotian Cui, Yukun Yan, Daqi Zheng. Object-oriented Neural Programming (OONP) for Document Understanding. ACL 2018: 2717-2726.

9. Xianggen Liu, Lili Mou, Haotian Cui, Zhengdong Lu, Sen Song. Jumper: Learning When to Make Classification Decision in Reading. IJCAI 2018: 4237-4243.