1.   Shengding Hu, Xin Liu, Xu Han†, Xinrong Zhang, Chaoqun He, Weilin Zhao, Yankai Lin, Ning Ding, Zebin Ou, Guoyang Zeng, Zhiyuan Liu, Maosong Sun. Predicting Emergent Abilities with Infinite Resolution Evaluation. ICLR 2024. Long Paper.

2.   Jinyi Hu, Yuan Yao, Chongyi Wang, Shan Wang, Yinxu Pan, Qianyu Chen, Tianyu Yu, Hanghao Wu, Yue Zhao, Haoye Zhang, Xu Han, Yankai Lin, Jiao Xue, Dahai Li, Zhiyuan Liu, Maosong Sun. Large Multilingual Models Pivot Zero-shot Multimodal Learning across Languages. ICLR 2024. Long Paper.

3.   Shengding Hu, Yuge Tu, Xu Han†, Chaoqun He, Ganqu Cui, Xiang Long, Zhi Zheng, Yewei Fang, Yuxiang Huang, Weilin Zhao, Xinrong Zhang, Zheng Leng Thai, Kaihuo Zhang, Chongyi Wang, Yuan Yao, Chenyang Zhao, Jie Zhou, Jie Cai, Zhongwu Zhai, Ning Ding, Chao Jia, Guoyang Zeng, Dahai Li, Zhiyuan Liu, Maosong Sun. MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training Strategies. COLM 2024. Long Paper.

4.   Weilin Zhao, Yuxiang Huang, Xu Han†, Zhiyuan Liu, Zhengyan Zhang, Kuai Li, Chen Chen, Tao Yang, Maosong Sun. CA-LoRA: Adapting Existing LoRA for Compressed LLMs to Enable Efficient Multi-Tasking on Personal Devices. COLM 2024. Long Paper.

5.   Xinrong Zhang, Yingfa Chen, Shengding Hu, Zihang Xu, Junhao Chen, Moo Hao, Xu Han†, Zhen Thai, Shuo Wang, Zhiyuan Liu, Maosong Sun. ∞ Bench: Extending Long Context Evaluation Beyond 100K Tokens. ACL 2024. Long Paper.

6.   Chaoqun He, Renjie Luo, Yuzhuo Bai, Shengding Hu, Zhen Leng Thai, Junhao Shen, Jinyi Hu, Xu Han†, Yujie Huang, Yuxiang Zhang, Jie Liu, Lei Qi, Zhiyuan Liu, Maosong Sun. OlympiadBench: A Challenging Benchmark for Promoting AGI with Olympiad-Level Bilingual Multimodal Scientific Problems. ACL 2024. Long Paper.

7.   Yufei Huang, Xu Han, Maosong Sun. FastFiD: Improve Inference Efficiency of Open Domain Question Answering via Sentence Selection. ACL 2024. Long Paper.

8.   Hanqing Wang, Bowen Ping, Shuo Wang, Xu Han, Yun Chen, Zhiyuan Liu, Maosong Sun. LoRA-Flow: Dynamic LoRA Fusion for Large Language Models in Generative Tasks. ACL 2024. Long Paper.

9.   Xiaozhi Wang, Hao Peng, Yong Guan, Kaisheng Zeng, Jianhui Chen, Lei Hou, Xu Han, Yankai Lin, Zhiyuan Liu, Ruobing Xie, Jie Zhou, Juanzi Li. MAVEN-ARG: Completing the Puzzle of All-in-One Event Understanding Dataset with Event Argument Annotation. ACL 2024. Long Paper.

10.   Chaoqun He, Renjie Luo, Shengding Hu, Yuanqian Zhao, Jie Zhou, Hanghao Wu, Jiajie Zhang, Xu Han†, Zhiyuan Liu, Maosong Sun. UltraEval: A Lightweight Platform for Flexible and Comprehensive Evaluation for LLMs. ACL 2024. Demo Paper.

11.   Xinrong Zhang, Yingfa Chen, Shengding Hu, Xu Han†, Zihang Xu, Yuanwei Xu, Weilin Zhao, Maosong Sun, Zhiyuan Liu. Beyond The Turn-based Game: Enabling Real-time Conversations With Duplex Models. EMNLP 2024. Long Paper.

12.   Weilin Zhao, Yuxiang Huang, Xu Han†, Chaojun Xiao, Zhiyuan Liu, Maosong Sun. Ouroboros: Speculative Decoding with Large Model Enhanced Drafting. EMNLP 2024. Long Paper.

13.   Zhengyan Zhang, Chaojun Xiao, Qiujieli Qin, Yankai Lin, Zhiyuan Zeng, Xu Han, Zhiyuan Liu, Ruobing Xie, Maosong Sun, Jie Zhou. Exploring the Benefit of Activation Sparsity in Pre-training. ICML 2024. Long Paper.

14.   Yingfa Chen, Zhengyan Zhang, Xu Han†, Chaojun Xiao, Zhiyuan Liu, Chen Chen, Kuai Li, Tao Yang, Maosong Sun. Robust and Scalable Model Editing for Large Language Models. COLING 2024. Long Paper.

15.   Weize Chen, Xu Han†, Yankai Lin, Kaichen He, Ruobing Xie, Jie Zhou, Zhiyuan Liu, Maosong Sun. Hyperbolic Pre-Trained Language Model. IEEE TASLP 2024. Long Paper.

1.   Chaojun Xiao, Zhengyan Zhang, Xu Han†, Chi-Min Chan, Yankai Lin, Zhiyuan Liu, Xiangyang Li, Zhonghua Li, Zhao Cao, Maosong Sun. Plug-and-play Document Modules For Pre-trained Models. ACL 2023. Long Paper.

2.   Zhengyan Zhang, Zhiyuan Zeng, Yankai Lin, Huadong Wang, Deming Ye, Chaojun Xiao, Xu Han†, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou. Plug-and-play Knowledge Injection For Pre-trained Language Models. ACL 2023. Long Paper.

3.   Weize Chen, Xu Han†, Yankai Lin, Zhiyuan Liu, Maosong Sun, Jie Zhou. Stochastic Bridges as Effective Regularizers for Parameter-Efficient Tuning. Findings of ACL 2023. Long Paper.

4.   Yujia Qin, Cheng Qian, Xu Han†, Yankai Lin, Huadong Wang, Ruobing Xie, Zhiyuan Liu, Maosong Sun, Jie Zhou. Recyclable Tuning for Continual Pre-training. Findings of ACL 2023. Long Paper.

5.   Yujia Qin, Zihan Cai, Dian Jin, Lan Yan, Shihao Liang, Kunlun Zhu, Yankai Lin, Xu Han, Ning Ding, Huadong Wang, Ruobing Xie, Fanchao Qi, Zhiyuan Liu, Maosong Sun, Jie Zhou. WebCPM: Interactive Web Search for Chinese Long-form Question Answering. ACL 2023. Long Paper.

6.   Chaojun Xiao, Yuqi Luo, Wenbin Zhang, Pengle Zhang, Xu Han†, Yankai Lin, Zhengyan Zhang, Ruobing Xie, Zhiyuan Liu, Maosong Sun, Jie Zhou. Variator: Accelerating Pre-trained Models with Plug-and-Play Compression Modules. Findings of EMNLP 2023. Long Paper.

7.   Weize Chen, Xiaoyue Xu, Xu Han†, Yankai Lin, Ruobing Xie, Zhiyuan Liu, Maosong Sun, Jie Zhou. Boosting Inference Efficiency: Unleashing the Power of Parameter-Shared Pre-trained Language Models. Findings of EMNLP 2023. Long Paper.

8.   Yuzhong Wang, Xu Han†, Weilin Zhao, Guoyang Zeng, Zhiyuan Liu, Maosong Sun. H3t: Efficient Integration Of Memory Optimization And Parallelism For High-throughput Transformer Training. NeuralPS 2023. Long Paper.

1.   Xu Han, Yuqi Luo, Weize Chen, Zhiyuan Liu, Maosong Sun, Zhou Botong, Hao Fei, Suncong Zheng. ACL 2022. Cross-lingual Contrastive Learning for Fine-grained Entity Typing for Low-resource Languages. Long paper.

2.   Weize Chen, Xu Han*, Yankai Lin, Hexu Zhao, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou. Fully Hyperbolic Neural Networks. ACL 2022. Long paper.

3.   Yuxian Gu, Xu Han*, Zhiyuan Liu, Minlie Huang. PPT: Pre-trained Prompt Tuning for Few-shot Learning. ACL 2022. Long paper.

4.   Xu Han, Guoyang Zeng, Weilin Zhao, Zhiyuan Liu, Zhengyan Zhang, Jie Zhou, Jun Zhang, Jia Chao, Maosong Sun. BMInf: An Efficient Toolkit for Big Model Inference and Tuning. ACL 2022. Demo paper.

5.   Yujia Qin, Yankai Lin, Jing Yi, Jiajie Zhang, Xu Han, Zhengyan Zhang, Yusheng Su, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou. Knowledge Inheritance for Pre-trained Language Models. NAACL 2022. Long Paper.

6.   Xiaoxuan Liu, Lianmin Zheng, Dequan Wang, Yukuo Cen, Weize Chen, Xu Han, Jianfei Chen, Zhiyuan Liu, Jie Tang, Joey Gonzalez, Michael Mahoney, Alvin Cheung. GACT: Activation Compressed Training for Generic Network Architectures. ICML 2022. Long Paper.

7.   Yujia Qin, Cheng Qian, Jing Yi, Weize Chen, Yankai Lin, Xu Han, Zhiyuan Liu, Maosong Sun, Jie Zhou. Exploring Mode Connectivity for Pre-trained Language Models. EMNLP 2022. Long Paper.

8.   Xiaozhi Wang, Yulin Chen, Ning Ding, Hao Peng, Zimu Wang, Yankai Lin, Xu Han, Lei Hou, Juanzi Li, Zhiyuan Liu, Peng Li, Jie Zhou. MAVEN-ERE: A Unified Large-scale Dataset for Event Coreference, Temporal, Causal, and Subevent Relation Extraction. EMNLP 2022. Long Paper.

9.   Jing Yi, Weize Chen, Yujia Qin, Yankai Lin, Ning Ding, Xu Han, Zhiyuan Liu, Maosong Sun, Jie Zhou. Different Tunes Played With Equal Skill: Exploring A Unified Optimization Subspace For Parameter-efficient Tuning. Findings of EMNLP 2022. Long Paper.

10.   Zhengyan Zhang, Baitao Gong, Yingfa Chen, Xu Han, Guoyang Zeng, Weilin Zhao, Yanxu Chen, Zhiyuan Liu, Maosong Sun. BMCook: A Task-agnostic Compression Toolkit For Big Models. EMNLP 2022. Demo Paper.

11.   Xu Han, Weilin Zhao, Ning Ding, Zhiyuan Liu, Maosong Sun. PTR: Prompt Tuning with Rules for Text Classification. AIOpen 2022. Long Paper.

1.   Xu Han, Zhengyan Zhang, Ning Ding, Yuxian Gu, Xiao Liu, Yuqi Huo, Jiezhong Qiu, Yuan Yao, Ao Zhang, Liang Zhang, Wentao Han, Minlie Huang, Qin Jin, Yanyan Lan, Yang Liu, Zhiyuan Liu, Zhiwu Lu, Xipeng Qiu, Ruihua Song, Jie Tang, Ji-Rong Wen, Jinhui Yuan, Wayne Xin Zhao, Jun Zhu. Pre-trained Models: Past, Present and Future. AIOpen 2021. Long paper.

2.   Zhengyan Zhang, Xu Han*, Hao Zhou, Pei Ke, Yuxian Gu, Deming Ye, Yujia Qin, Yusheng Su, Haozhe Ji, Jian Guan, Fanchao Qi, Xiaozhi Wang, Yanan Zheng, Guoyang Zeng, Huanqi Cao, Shengqi Chen, Daixuan Li, Zhenbo Sun, Zhiyuan Liu, Minlie Huang, Wentao Han, Jie Tang, Juanzi Li, Xiaoyan Zhu, Maosong Sun. CPM: A Large-Scale Generative Chinese Pre-Trained Language Model. AIOpen 2021. Long paper.

3.   Zhengyan Zhang, Yuxian Gu, Xu Han*, Shengqi Chen, Chaojun Xiao, Zhenbo Sun, Yuan Yao, Fanchao Qi, Jian Guan, Pei Ke, Yanzheng Cai, Guoyang Zeng, Zhixing Tan, Zhiyuan Liu, Minlie Huang, Wentao Han, Yang Liu, Xiaoyan Zhu, Maosong Sun. CPM-2: Large-scale Cost-effective Pre-trained Language Models. AIOpen 2021. Long paper.

4.   Yusheng Su, Xu Han, Zhengyan Zhang, Yankai Lin, Peng Li, Zhiyuan Liu, Jie Zhou, Maosong Sun. CokeBERT: Contextual Knowledge Selection and Embedding towards Enhanced Pre-trained Language Models. AIOpen 2021. Long paper.

5.   Yuan Yao, Haoxi Zhong, Zhengyan Zhang, Xu Han, Xiaozhi Wang, Kai Zhang, Chaojun Xiao, Guoyang Zeng, Zhiyuan Liu, Maosong Sun. Adversarial Language Games for Advanced Natural Language Intelligence. AAAI 2021. Long paper.

6.   Kai Zhang, Yuan Yao, Ruobing Xie, Xu Han, Zhiyuan Liu, Fen Lin, Leyu Lin, Maosong Sun. Open Hierarchical Relation Extraction. NAACL 2021. Long paper.

7.   Ning Ding, Guangwei Xu, Yulin Chen, Xiaobin Wang, Xu Han, Pengjun Xie, Hai-Tao Zheng, Zhiyuan Liu. Few-NERD: A Few-Shot Named Entity Recognition Dataset. ACL 2021. Long paper.

8.   Ziqi Wang, Xiaozhi Wang, Xu Han, Yankai Lin, Lei Hou, Zhiyuan Liu, Peng Li, Juanzi Li, Jie Zhou. CLEVE: Contrastive Pre-training for Event Extraction. ACL 2021. Long paper.

9.   Tianyu Gao, Xu Han, Keyue Qiu, Yuzhuo Bai, Zhiyu Xie, Yankai Lin, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou. Manual Evaluation Matters: Reviewing Test Protocols of Distantly Supervised Relation Extraction. Findings of ACL 2021. Long paper.

10.   Ning Ding, Yulin Chen, Xu Han, Guangwei Xu, Pengjun Xie, Hai-Tao Zheng, Zhiyuan Liu, Juanzi Li, Hong-Gee Kim. Prompt-Learning for Fine-grained Entity Typing. Findings of EMNLP 2021. Long paper.

11.   Yusheng Su, Xu Han*, Yankai Lin, Zhengyan Zhang, Zhiyuan Liu, Peng Li, Jie Zhou, Maosong Sun. CSS-LM: A Contrastive Framework for Semi-Supervised Fine-Tuning of Pre-Trained Language Models. IEEE TASLP 2021. Long paper.

12.   Xu Han, Zhengyan Zhang, Zhiyuan Liu. Knowledgeable Machine Learning for Natural Language Processing. Communications of the ACM 2021.

1. Zhiyuan Liu, Xu Han, Maosong Sun. Knowledge Graph and Deep Learning. Book (In Chinese).

2. Xu Han, Yuzhuo Bai, Keyue Qiu, Zhiyuan Liu and Maosong Sun. IsOBS: An Information System for Oracle Bone Script. EMNLP 2020. Demo paper.

3. Xin Lv, Xu Han, Lei Hou, Juanzi Li, Zhiyuan Liu, Wei Zhang, Yichi Zhang, Hao Kong and Suhui Wu. Dynamic Anticipation and Completion for Multi-Hop Reasoning over Sparse Knowledge Graph. EMNLP 2020. Long paper.

4. Hao Peng, Tianyu Gao, Xu Han, Yankai Lin, Peng Li, Zhiyuan Liu, Maosong Sun and Jie Zhou. Learning from Context or Names? An Empirical Study on Neural Relation Extraction. EMNLP 2020. Long paper.

5. Xiaozhi Wang, Ziqi Wang, Xu Han, Wangyi Jiang, Rong Han, Zhiyuan Liu, Juanzi Li, Peng Li, Yankai Lin and Jie Zhou. MAVEN: A Massive General Domain Event Detection Dataset. EMNLP 2020. Long paper.

6. Chaojun Xiao, Yuan Yao, Ruobing Xie, Xu Han, Zhiyuan Liu, Maosong Sun, Fen Lin and Leyu Lin. Denoising Relation Extraction from Document-level Distant Supervision. EMNLP 2020. Short paper.

7. Xu Han, Tianyu Gao, Yankai Lin, Hao Peng, Yaoliang Yang, Chaojun Xiao, Zhiyuan Liu, Peng Li, Maosong Sun and Jie Zhou. More Data, More Relations, More Context and More Openness: A Review and Outlook for Relation Extraction. AACL 2020. Long paper.

8. Xiaozhi Wang, Shengyu Jia, Xu Han, Zhiyuan Liu, Juanzi Li, Peng Li and Jie Zhou. Neural Gibbs Sampling for Joint Event Argument Extraction. AACL 2020. Long paper.

9. Xu Han, Yi Dai, Tianyu Gao, Yankai Lin, Zhiyuan Liu, Peng Li, Maosong Sun and Jie Zhou. Continual Relation Learning via Episodic Memory Activation and Reconsolidation. ACL 2020. Long paper.

10.   Tianyu Gao, Xu Han, Ruobing Xie, Zhiyuan Liu, Fen Lin, Leyu Lin, Maosong Sun. Neural Snowball for Few-Shot Relation Learning. AAAI 2020. Long paper.

11.   Bowen Dong, Yuan Yao, Ruobing Xie, Tianyu Gao, Xu Han, Zhiyuan Liu, Fen Lin, Leyu Lin and Maosong Sun. Meta-Information Guided Meta-Learning for Few-Shot Relation Classification. COLING 2020. Long paper.

1.   Xu Han, Tianyu Gao, Yuan Yao, Demin Ye, Zhiyuan Liu, Maosong Sun. OpenNRE: An Open and Extensible Toolkit for Neural Relation Extraction. EMNLP 2019. Demo paper.

2.   Ruidong Wu, Yuan Yao, Xu Han, Ruobing Xie, Zhiyuan Liu, Fen Lin, Leyu Lin, Maosong Sun. Open Relation Extraction: Relational Knowledge Transfer from Supervised Data to Unsupervised Data. EMNLP 2019. Long paper.

3.   Tianyu Gao, Xu Han, Hao Zhu, Zhiyuan Liu , Peng Li, Maosong Sun, Jie Zhou. FewRel 2.0: Towards More Challenging Few-Shot Relation Classification. EMNLP 2019. Short paper.

4.   Xiaozhi Wang, Ziqi Wang, Xu Han, Zhiyuan Liu, Juanzi Li, Peng Li, Maosong Sun, Jie Zhou, Xiang Ren. HMEAE: Hierarchical Modular Event Argument Extraction. EMNLP 2019. Short paper.

5.   Xin Lv, Yuxian Gu, Xu Han, Lei Hou, Juanzi Li, Zhiyuan Liu. Adapting Meta Knowledge Graph Information for Multi-Hop Reasoning over Few-Shot Relations. EMNLP 2019. Short paper.

6.  Zhengyan Zhang, Xu Han*, Zhiyuan Liu, Xin Jiang, Maosong Sun, Qun Liu. ERNIE: Enhanced Language Representation with Informative Entities. ACL 2019. Long paper.

7.  Jie Zhou, Xu Han, Cheng Yang, Zhiyuan Liu, Lifeng Wang, Changcheng Li, Maosong Sun. GEAR: Graph-based Evidence Aggregating and Reasoning for Fact Verification. ACL 2019. Long paper.

8.  Yuan Yao, Deming Ye, Peng Li, Xu Han, Yankai Lin, Zhenghao Liu, Zhiyuan Liu, Lixin Huang, Jie Zhou, Maosong Sun. DocRED: A Large-Scale Document-Level Relation Extraction Dataset. ACL 2019. Long paper.

9.   Weize Chen, Hao Zhu, Xu Han, Zhiyuan Liu, Maosong Sun. Quantifying Similarity between Relations with Fact Distribution. ACL 2019. Long paper.

10.   Shun Zheng, Xu Han, Yankai Lin, Peilin Yu, Lu Chen, Ling Huang, Zhiyuan Liu, Wei Xu. DIAG-NRE: A Neural Pattern Diagnosis Framework for Distantly Supervised Neural Relation Extraction. ACL 2019. Long paper.

11.  Xiaozhi Wang*, Xu Han*, Zhiyuan Liu, Maosong Sun, Peng Li. Adversarial Training for Weakly Supervised Event Detection. NAACL 2019. Long paper.

12.  Tianyu Gao*, Xu Han*, Zhiyuan Liu, Maosong Sun. Hybrid Attention-based Prototypical Networks for Noisy Few-Shot Relation Classification. AAAI 2019. Long paper.

1.  Xu Han, Pengfei Yu, Zhiyuan Liu, Maosong Sun, Peng Li. Hierarchical Relation Extraction with Coarse-to-Fine Grained Attention. EMNLP 2018. Long paper.

2.  Xu Han, Shulin Cao, Xin Lv, Yankai Lin, Zhiyuan Liu, Maosong Sun and Juanzi Li. OpenKE: An Open Toolkit for Knowledge Embedding. EMNLP 2018. Demo paper.

3.  Xu Han, Hao Zhu, Pengfei Yu, Ziyun Wang, Yuan Yao, Zhiyuan Liu, Maosong Sun. FewRel: A Large-Scale Supervised Few-shot Relation Classification Dataset with State-of-the-Art Evaluation. EMNLP 2018. Short paper.

4.  Ji Xin, Hao Zhu, Xu Han, Zhiyuan Liu, Maosong Sun. Put It Back: Entity Typing with Language Model Enhancement. EMNLP 2018. Short paper.

5.  Xu Han, Zhiyuan Liu, Maosong Sun. Denoising Distant Supervision for Relation Extraction via Instance-Level Adversarial Training. arXiv. 2018.

6.  Xiaozhi Wang*, Xu Han*, Yankai Lin, Zhiyuan Liu, Maosong Sun. Adversarial Multi-lingual Neural Relation Extraction. COLING 2018. Long paper.

7.  Xu Han, Zhiyuan Liu, Maosong Sun. Neural Knowledge Acquisition via Mutual Attention between Knowledge Graph and Text. AAAI 2018. Long paper.

8.  Xu Han, Zhiyuan Liu, Maosong Sun. Joint Representation Learning of Text and Knowledge for Knowledge Graph Completion. arXiv. 2016.

MiniCPM
MiniCPM-V
BMTrain
BMInf
BMCook
UltraEval

OpenKE
TensorFlow-TransX
Fast-TransX

OpenNRE
FewRel
JointNRE

InfiniteBench
OlympiadBench
FewRel 1.0
FewRel 2.0
DocRED
MAVEN

KRLPapers
NREPapers

Department of Computer Science and Technology,

Department of Computer Science and Technology,

Department of Computer Science and Technology,

Department of Computer Science and Technology,

Writing and Communication, Tsinghua University.

Object-Oriented Programming, Tsinghua University.

Software Engineering, Tsinghua University.

World Internet Conference Awards for Pioneering Science and Technology.

the First-class Award in the Natural Science category in the Higher Education Outstanding Scientific Research Output Awards (Science and Technology).
World Internet Conference Awards for Pioneering Science and Technology.
The Fellowship of China National Postdoctoral Program for Innovative Talent.
The 2022 Global Top Chinese Young Scholars in Artificial Intelligence, Baidu.

Excellent Doctoral Dissertation of China Computer Federation, CCF.
Excellent Doctoral Dissertation of Tsinghua University, Tsinghua University.

Microsoft Research Asia (MSRA) Fellowship.
Tsinghua-Sohu Scholarship, Tsinghua University.

Zhongshimo Scholarship, Tsinghua University.
Jiang Nanxiang Scholarship, Tsinghua University.
National Scholarship for Ph.D Student, Tsinghua University.
Tencent Rhino-Bird Elite Training Program Excellent Graduate.

National Scholarship for Ph.D Student, Tsinghua University.

Excellent Graduate, Tsinghua University.
Excellent Bachelor Thesis, Tsinghua University.
Excellent Graduate, Dept. of CS&T, Tsinghua University.

First-class Overall Excellence Scholarship, Tsinghua University.

First-class Science and Technology Innovation Excellence Scholarship, Tsinghua University.

First-class Academic Excellence Scholarship, Tsinghua University.

Silver medal in National Olympiad in Information, China.

Golden medal in National Olympiad in Information, China.