I am a Special Research Assistant at the Institute of Computing Technology, Chinese Academy of Sciences, where I also earned my Ph.D. under the supervision of Prof. Jianfeng Zhan.

My research is centered on Evaluatology for Artificial Intelligence, a new direction aimed at scientifically and objectively evaluating AI’s performance in real-world applications. My early work concentrated on Neural Machine Translation; however, I identified the paramount importance of evaluating AI systems’ actual capabilities in real-world applications. This insight prompted me to dedicate my scholarly pursuits to the emerging field of Evaluatology for AI.

Currently, my research endeavors are concentrated on “Artificial Intelligence Designed Artificial Intelligence, AIDAI.”

• Winner - CWMT 2018 Uyghur-to-Chinese News Machine Translation Evaluation. Nov 2018. (1/8).

  PARTICIPANTS	BLEU5-SBP	BLEU5	BLEU6	NIST6	METEOR	TER
  S22-contrast-b (Mine)	0.3804	0.3892	0.3492	9.2359	0.5988	0.4041
  S22-primary-a (Mine)	0.3802	0.3887	0.3488	9.2200	0.5980	0.4045
  S22-contrast-c (Mine)	0.3776	0.3884	0.3471	9.2607	0.6003	0.4071
  S22-contrast-d (Mine)	0.3646	0.3752	0.3348	9.0628	0.5874	0.4191
  S25-primary-a	0.3626	0.3757	0.3349	9.0350	0.5862	0.4278
  S20-primary-a	0.3609	0.3777	0.3362	8.9337	0.5870	0.4360
  S20-contrast-b	0.3574	0.3700	0.3298	8.9197	0.5794	0.4338
  S6-primary-a	0.3477	0.3610	0.3202	8.8228	0.5732	0.4408
  S16-primary-a	0.3401	0.3484	0.3061	8.8279	0.5714	0.4265
  S17-primary-a	0.3283	0.3464	0.3087	8.5362	0.5536	0.4873
  S14-primary-a	0.3145	0.3257	0.2885	8.2242	0.5321	0.4827
  S5-primary-a	0.2573	0.2660	0.2305	7.2234	0.4650	0.5506
  S5-contrast-b	0.2545	0.2635	0.2274	7.2310	0.4653	0.5521

• Gold Medal - “Inspur Cup” The 7th ACM College Students Programming Contest in Shandong Province. Jun 2016. (1/164).

• Silver Medal - ACM-ICPC Asia Regional Contest (Shanghai). Nov 2015. (48/199).

• Silver Medal - ACM-ICPC Asia Regional Contest (Changchun). Oct 2015. (26/220).

1. Younger: The First Dataset for Artificial Intelligence-Generated Neural Network Architecture. [Project Home] | [GitHub]

2. YoungS: YoungS is a Young but low coupling, flexible and scalable Sequence modeling system. [GitHub (Now Private)]

Recent Research

• Evaluatology: The Science and Engineering of Evaluation. Jianfeng Zhan, Lei Wang, Wanling Gao, Hongxiao Li, Chenxi Wang, Yunyou Huang, Yatao Li, Zhengxin Yang, Guoxin Kang, Chunjie Luo, Hainan Ye, Shaopeng Dai, Zhifei Zhang. TBench 2024

• Algorithmic Fairness in Social Context. Yunyou Huang, Wenjing Liu, Wanling Gao, Xiangjiang Lu, Xiaoshuang Liang, Zhengxin Yang, Hongxiao Li, Li Ma, Suqing Tang. TBench 2023

• Quality at the Tail of Machine Learning Inference. Zhengxin Yang, Wanling Gao, Chunjie Luo, Lei Wang, Fei Tang, Xu Wen, Jianfeng Zhan. Under Review

• Big Medical Data and Medical AI Standards: Status Quo,Opportunities and Challenges. Zhang Zhifei, Zhengxin Yang, Huang Yunyou, Z. Jianfeng. XHYXZZ 2021

Early Research

• Guiding Teacher Forcing with Seer Forcing for Neural Machine Translation. Yang Feng, Shuhao Gu, Dengji Guo, Zhengxin Yang, Chenze Shao. ACL 2021

• Modeling Fluency and Faithfulness for Diverse Neural Machine Translation. Yang Feng, Wanying Xie, Shuhao Gu, Chenze Shao, Wen Zhang, Zhengxin Yang, Dong Yu. AAAI-20

• Enhancing Context Modeling with a Query-Guided Capsule Network for Document-level Translation. Zhengxin Yang, Jinchao Zhang, Fandong Meng, Shuhao Gu, Yang Feng, Jie Zhou. EMNLP 2019

• Uyghur-to-Chinese neural machine translation based on incremental training. Zhengxin Yang, Jingyu Li, Jiawei Hu, Yang Feng. JXMU 2019