CV

Education

Ph.D in Version Control Theory, GitHub University, 2018 (expected)
M.S. in Jekyll, GitHub University, 2014
B.S. in GitHub, GitHub University, 2012

Work experience

Spring 2024: Academic Pages Collaborator
- GitHub University
- Duties includes: Updates and improvements to template
- Supervisor: The Users
Fall 2015: Research Assistant
- GitHub University
- Duties included: Merging pull requests
- Supervisor: Professor Hub
Summer 2015: Research Assistant
- GitHub University
- Duties included: Tagging issues
- Supervisor: Professor Git

Skills

Skill 1
Skill 2
- Sub-skill 2.1
- Sub-skill 2.2
- Sub-skill 2.3
Skill 3

Publications

End-to-end congestion control in datacenter networks: a survey

Zejia Zhou, Shan Huang, Dezun Dong\*, Yang Bai, Liquan Xiao. "End-to-end congestion control in datacenter networks: a survey". Frontiers Comput. Sci. 20(5): 2005501 (2026). (CCF-B)

BitHeteroNet: A Heterogeneous Network Benchmark for Enhanced Anomaly Detection in Bitcoin Transactions

Zheng Gong, Shuheng Shen, Changhua Meng, Ying Sun\*, "BitHeteroNet: A Heterogeneous Network Benchmark for Enhanced Anomaly Detection in Bitcoin Transactions", In Proceedings of The Web Conference (WWW-2026), 2026. (CCF-A)

ARADD: An Automatic Real-World API Discovery and Deployment Framework for AI Guide Service in Baidu Map

Fuling WANG, Le Zhang, Jingbo Zhou, Jindong Han, **Ying Sun**, Chuan Qin, Hengshu Zhu, Hui Xiong. "ARADD: An Automatic Real-World API Discovery and Deployment Framework for AI Guide Service in Baidu Map". In Proceedings of The Web Conference 2026 (WWW-2026), 2026. (CCF-A)

BitHeteroNet: A Heterogeneous Network Benchmark for Enhanced Anomaly Detection in Bitcoin Transactions

Zheng Gong, Shuheng Shen, Changhua Meng, **Ying Sun**. "BitHeteroNet: A Heterogeneous Network Benchmark for Enhanced Anomaly Detection in Bitcoin Transactions". In Proceedings of The Web Conference (WWW-2026), 2026. (CCF-A)

GoldenStart: Q-Guided Priors and Entropy Control for Distilling Flow Policies

He Zhang, **Ying Sun**, Hui Xiong. "GoldenStart: Q-Guided Priors and Entropy Control for Distilling Flow Policies". The 14th International Conference on Learning Representations (ICLR-2026), 2026. (CCF-A)

Forest-Based Graph Learning for Semi-Supervised Node Classification

Jin Li, Shenghao Gao, Kaichen Zhang, Xinlong Chen, **Ying Sun**, Hui Xiong. "Forest-Based Graph Learning for Semi-Supervised Node Classification". The 14th International Conference on Learning Representations (ICLR-2026), 2026. (CCF-A)

MolEditRL: Structure-Preserving Molecular Editing via Discrete Diffusion and Reinforcement Learning

Yuanxin Zhuang, Dazhong Shen, **Ying Sun**. "MolEditRL: Structure-Preserving Molecular Editing via Discrete Diffusion and Reinforcement Learning". The 14th International Conference on Learning Representations (ICLR-2026), 2026. (CCF-A)

LiDAR-to-4DRadar Diffusion Bridge via Cross-Modal Alignment and Translation in Latent Space

Dazhong Shen, Jingjing Gu, Qiang Zhou, Meng Zhao, **Ying Sun**. "LiDAR-to-4DRadar Diffusion Bridge via Cross-Modal Alignment and Translation in Latent Space". IEEE/CVF Conference on Computer Vision and Pattern Recognition 2026 (CVPR-2026), 2026. (CCF-A)

Graph-based Prompt Learning with Mixture of Experts for Multi-task Corporate Profiling

Yunchu Bai, Chao Wang, **Ying Sun**, Chuan Qin, Wei Wu, Hui Xiong. "Graph-based Prompt Learning with Mixture of Experts for Multi-task Corporate Profiling". ACM Transactions on Knowledge Discovery from Data (ACM TKDD), 2026. (中科院二区)

TDHGNN: A Temporal Directed Hypergraph Neural Network for Bitcoin Fraud Detection

Zheng Gong, Shuheng Shen, Changhua Meng, **Ying Sun**. "TDHGNN: A Temporal Directed Hypergraph Neural Network for Bitcoin Fraud Detection". The 49th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR-2026), 2026. (CCF-A)

Discrete Preference Learning for Personalized Multimodal Generation

Yuting Zhang, **Ying Sun**, Dazhong Shen, Ziwei Xie, Feng Liu, Changwang Zhang, Xiang Liu, Jun Wang, Hui Xiong. "Discrete Preference Learning for Personalized Multimodal Generation". The 49th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR-2026), 2026. (CCF-A)

Punctuation-Steered Representation Fine-Tuning

Zheng Gong, **Ying Sun**, Ping Li, Yi ZHENG, Zhefeng Wang. "Punctuation-Steered Representation Fine-Tuning". The 64th Annual Meeting of the Association for Computational Linguistics (ACL-2026), 2026. (CCF-A)

REAP: Towards Effective Training-Free Chemical Reasoning with Explicit Atomic Priors

Mingxu Zhang, Dazhong Shen, Qi Zhang, **Ying Sun**. "REAP: Towards Effective Training-Free Chemical Reasoning with Explicit Atomic Priors". The 64th Annual Meeting of the Association for Computational Linguistics (ACL-2026), 2026. (CCF-A)

OCP: Outlier-Centric Probing for Dynamic Structured Pruning of LLMs

Yang Ji, **Ying Sun**. "OCP: Outlier-Centric Probing for Dynamic Structured Pruning of LLMs". The 64th Annual Meeting of the Association for Computational Linguistics (ACL-2026), 2026. (CCF-A)

Low-cost Full Fine-tuning: Learning What to Update for LLMs

Jin Li, Yaming Guo, Shenghao Gao, Xinlong Chen, Zuhao Xu, **Ying Sun**, Chao Wang, Hui Xiong. "Low-cost Full Fine-tuning: Learning What to Update for LLMs". 43rd International Conference on Machine Learning (ICML-2026), 2026. (CCF-A)

Representation-Aware Modularity: Efficient Cross-Task Generalization for LLMs

Zheng Gong, **Ying Sun**, Chao Wang, Xiaohui Huo, Ping Li, Yi ZHENG, Zhefeng Wang. "Representation-Aware Modularity: Efficient Cross-Task Generalization for LLMs". The 35th International Joint Conference on Artificial Intelligence (IJCAI-2026), 2026. (CCF-A)

Enhance the Safety in Reinforcement Learning by ADRC Lagrangian Methods

Mingxu Zhang, Huicheng Zhang, Jiaming Ji, Yaodong Yang, **Ying Sun**. "Enhance the Safety in Reinforcement Learning by ADRC Lagrangian Methods". Transactions on Machine Learning Research (TMLR), 2026. (中科院二区)

MCLMR: A Model-Agnostic Causal Learning Framework for Multi-Behavior Recommendation

Ranxu Zhang, Junjie Meng, **Ying Sun**, Ziqi Xu, Bing Yin, Hao Li, Yanyong Zhang and Chao Wang, “MCLMR: A Model-Agnostic Causal Learning Framework for Multi-Behavior Recommendation”, In Proceedings of The Web Conference 2026 (WWW-2026), 2026. (CCF-A)

Discovering Decoupled Functional Modules in Large Language Models

Yanke Yu, Jin Li, Ying Sun, Ping Li, Zhefeng Wang, Yi Zheng, "Discovering Decoupled Functional Modules in Large Language Models", The 40th Annual AAAI Conference on Artificial Intelligence (AAAI-2026), 2026. (CCF-A)

Efficient Satellite Hardware Architecture for Accelerating Satellite Computing Power Networks

Junxiang Qin, Lingbin Zeng, Shan Huang\*, Zhixi Yang, Yonggang Wang, Jun Yang. "Efficient Satellite Hardware Architecture for Accelerating Satellite Computing Power Networks". IEEE Internet Things J. 13(3): 4975-4991 (2026). (中科院1区Top)

Q-Guided Priors and Entropy Control for Distilling Flow Policies

He Zhang, Ying Sun\*, Hui Xiong\*, "GoldenStart: Q-Guided Priors and Entropy Control for Distilling Flow Policies", The 14th International Conference on Learning Representations (ICLR-2026), 2026. (CCF-A)

Forest-Based Graph Learning for Semi-Supervised Node Classification

Jin Li, Shenghao Gao, Kaichen Zhang, Xinlong Chen, Ying Sun\*, Hui Xiong\*, "Forest-Based Graph Learning for Semi-Supervised Node Classification", The 14th International Conference on Learning Representations (ICLR-2026), 2026. (CCF-A)

MolEditRL: Structure-Preserving Molecular Editing via Discrete Diffusion and Reinforcement Learning

Yuanxin Zhuang, Dazhong Shen\*, Ying Sun\*, "MolEditRL: Structure-Preserving Molecular Editing via Discrete Diffusion and Reinforcement Learning", The 14th International Conference on Learning Representations (ICLR-2026), 2026. (CCF-A)

Interpretable research of fuzzy methods: A literature survey

**Zhang K**, Tianhao Shao, Yi Sun, Xinyao Xu, Xiaoxiong Zhang, Xiaolei Zhou, Kun Ding, Shan Huang\*. "Interpretable research of fuzzy methods: A literature survey". Inf. Fusion 126: 103524 (2026). (中科院1区Top)

How Business Agglomeration Affects Individual Points-of-Interest: A Causal Effect Estimation Perspective

Haoran Xin, Xinjiang Lu, **Ying Sun**, Nengjun Zhu, Tong Xu, Jingbo Zhou, Hui Xiong, “How Business Agglomeration Affects Individual Points-of-Interest: A Causal Effect Estimation Perspective”, ACM Transactions on Knowledge Discovery from Data (ACM TKDD), 2025. (CCF-B)

Survey of storage systems in high performance computing

Gen Zhang, Zhenlong Song, Wenzhe Zhang, Xinhai Chen, Shan Huang\*, Yong Dong. "Survey of storage systems in high performance computing". CCF Transactions on High Performance Computing: 1-21 (2025). (CCF-C)

Enhancing Job Salary Prediction with Disentangled Composition Effect Modeling: A Neural Prototyping Approach

Yang Ji, Ying Sun\*, Hengshu Zhu, "Enhancing Job Salary Prediction with Disentangled Composition Effect Modeling: A Neural Prototyping Approach", Frontiers of Computer Science (FCS), 2025. (CCF-B)

LLMCDSR: Enhancing Cross-Domain Sequential Recommendation with Large Language Models

Haoran Xin, Ying Sun\*, Chao Wang, Hui Xiong\*, "LLMCDSR: Enhancing Cross-Domain Sequential Recommendation with Large Language Models", ACM Transactions on Information Systems (ACM TOIS), 2025. (CCF-A)

Exploring Hypergraph Condensation via Variational Hyperedge Generation and Multi-Aspectual Amelioration

Zheng Gong, Shuheng Shen, Changhua Meng, Ying Sun\*, "Exploring Hypergraph Condensation via Variational Hyperedge Generation and Multi-Aspectual Amelioration", In Proceedings of The Web Conference 2025 (WWW-2025), 2025. (CCF-A)

Efficient Skill Discovery via Regret-Aware Optimization

He Zhang, Ming Zhou, Shaopeng Zhai, Ying Sun\*, Hui Xiong, "Efficient Skill Discovery via Regret-Aware Optimization", 42nd International Conference on Machine Learning (ICML-2025), 2025. (CCF-A)

Towards Lifelong Model Editing via Simulating Ideal Editor

Yaming Guo, Siyang Guo, Ying Sun\*, Hengshu Zhu, "Towards Lifelong Model Editing via Simulating Ideal Editor", 42nd International Conference on Machine Learning (ICML-2025), 2025. (CCF-A)

Unifying Knowledge from Diverse Datasets to Enhance Spatial-Temporal Modeling: A Granularity-Adaptive Geographical Embedding Approach

Zhigaoyuan Wang, Ying Sun\*, Hengshu Zhu, "Unifying Knowledge from Diverse Datasets to Enhance Spatial-Temporal Modeling: A Granularity-Adaptive Geographical Embedding Approach", 42nd International Conference on Machine Learning (ICML-2025), 2025. (CCF-A)

Towards Faithful Neural Network Intrinsic Interpretation with Shapley Additive Self-Attribution

Ying Sun\*, Hengshu Zhu, Hui Xiong, "Towards Faithful Neural Network Intrinsic Interpretation with Shapley Additive Self-Attribution", IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2025. (CCF-A)

Multifractal Comparison of Billboard and AI-Generated Music

Kevin Kailun Zhang, Ying Sun\*, Hui Xiong\*, "Multifractal Comparison of Billboard and AI-Generated Music", The 33rd ACM International Conference on Multimedia (ACM MM-2025) Brave New Idea Track, 2025. (CCF-A)

Logic-in-Frames: Dynamic Keyframe Search via Visual Semantic-Logical Verification for Long Video Understanding

Weiyu Guo, Ziyang Chen, Shaoguang Wang, Jianxiang He, Yijie Xu, Jinhui Ye, Ying Sun\*, Hui Xiong\*, "Logic-in-Frames: Dynamic Keyframe Search via Visual Semantic-Logical Verification for Long Video Understanding", The 39th Annual Conference on Neural Information Processing Systems (NeurIPS-2025), 2025. (CCF-A)

NGTM: Substructure-based Neural Graph Topic Model for Interpretable Graph Generation

Yuanxin Zhuang, Dazhong Shen, Ying Sun\*， "NGTM: Substructure-based Neural Graph Topic Model for Interpretable Graph Generation"，The 40th Annual AAAI Conference on Artificial Intelligence (AAAI-2026), 2026. (CCF-A)

A Comprehensive Survey on Self-Interpretable Neural Networks

Yang Ji, Ying Sun\*, Yuting Zhang, Zhigaoyuan Wang, Yuanxin Zhuang, Zheng Gong, Dazhong Shen, Chuan Qin, Hengshu Zhu, Hui Xiong, "A Comprehensive Survey on Self-Interpretable Neural Networks", Proceedings of IEEE, 2025. (CCF-A)

An interpretable image classification model combining a fuzzy neural network with a variational autoencoder inspired by the human brain

**Zhang K**, Hao W, Yu X, Shao T. An interpretable image classification model combining a fuzzy neural network with a variational autoencoder inspired by the human brain[J]. Information Sciences, 2024, 661: 119885. (中科院2区)

Enhancing Binary Convolutional Neural Networks for Hyperspectral Image Classification

Xuebin Tang, **Zhang K**, Xiaolei Zhou, Lingbin Zeng, Shan Huang\*. "Enhancing Binary Convolutional Neural Networks for Hyperspectral Image Classification". Remote. Sens. 16(23): 4398 (2024). (中科院2区)

Graph Reasoning Enhanced Language Models for Text-to-SQL

Zheng Gong, Ying Sun\*, "Graph Reasoning Enhanced Language Models for Text-to-SQL", In Proceedings of The 47th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR-2024), 2024. (CCF-A)

An Energy-centric Framework for Category-free Out-of-distribution Node Detection in Graphs

Zheng Gong, Ying Sun\*. "An Energy-centric Framework for Category-free Out-of-distribution Node Detection in Graphs", In Proceedings of The 30th SIGKDD conference on Knowledge Discovery and Data Mining (SIGKDD 2024), 2024. (CCF-A)

SpGesture: Source-Free Domain-adaptive sEMG-based Gesture Recognition with Jaccard Attentive Spiking Neural Network

Weiyu Guo, Ying Sun\*, Yijie Xu, Ziyue Qiao, Yongkui Yang, Hui Xiong\*, "SpGesture: Source-Free Domain-adaptive sEMG-based Gesture Recognition with Jaccard Attentive Spiking Neural Network", The 38th Annual Conference on Neural Information Processing Systems (NeurIPS-2024), 2024. (CCF-A)

Instiller: Toward Efficient and Realistic RTL Fuzzing

**Gen Zhang**, Pengfei Wang, Tai Yue, Danjun Liu, Yubei Guo, Kai Lu. "Instiller: Toward Efficient and Realistic RTL Fuzzing". IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems 43(7): 2177-2190 (2024). (CCF-A)

Deadline-Aware Data-Credit-Coupled Transmission for Data Centers

Shan Huang, Lingbin Zeng, Xiaolei Zhou, Qiang Fan, Gen Zhang\*. "Deadline-Aware Data-Credit-Coupled Transmission for Data Centers". IEEE Internet Things J. 12(21): 44612-44625 (2025). (中科院1区Top)

Large-scale Online Job Search Behaviors Reveal Labor Market Shifts Amid COVID-19

**Ying Sun**, Hengshu Zhu, Lu Wang, Le Zhang, Hui Xiong, "Large-scale Online Job Search Behaviors Reveal Labor Market Shifts Amid COVID-19", Nature Cities (2024): 1-14, 2024.

Interactive Interior Design Recommendation via Coarse-to-fine Multimodal Reinforcement Learning

He Zhang, Ying Sun\*, Weiyu Guo, Yafei Liu, Haonan Lu, Xiaodong Lin,and Hui Xiong\*. "Interactive Interior Design Recommendation via Coarse-to-fine Multimodal Reinforcement Learning", In Proceedings of the 31st ACM International Conference on Multimedia (ACM MM-2023), 2023.(CCF-A)

MobFuzz: Adaptive Multi-objective Optimization in Gray-box Fuzzing

**Gen Zhang**, Pengfei Wang, Tai Yue, Xiangdong Kong, Shan Huang, Xu Zhou, Kai Lu. "MobFuzz: Adaptive Multi-objective Optimization in Gray-box Fuzzing". NDSS 2022. (CCF-A)

DC4: Reconstructing Data-Credit-Coupled Congestion Control for Data Centers

**Shan Huang**, Dezun Dong, Lingbin Zeng, Zejia Zhou, Yukun Zhou, Xiangke Liao. "DC4: Reconstructing Data-Credit-Coupled Congestion Control for Data Centers". ICPP 2022: 61:1-61:11. (CCF-B)

FastCredit: Expediting credit-based congestion control in datacenters

**Shan Huang**, Dezun Dong, Zejia Zhou, Hanyi Shi, Wenxiang Yang, Xiangke Liao. "FastCredit: Expediting credit-based congestion control in datacenters". Comput. Networks 214: 109126 (2022). (CCF-B)

Ovaflow: Detecting memory corruption bugs with fuzzing-based taint inference

**Gen Zhang**, Peng-Fei Wang, Tai Yue, Xiang-Dong Kong, Xu Zhou, Kai Lu. "Ovaflow: Detecting memory corruption bugs with fuzzing-based taint inference". Journal of Computer Science and Technology 37(2): 405-422 (2022). (CCF-B)

The hierarchical task network planning method based on Monte Carlo Tree Search

Shao T, Zhang H, Cheng K, **Zhang K**, Bie L. The hierarchical task network planning method based on Monte Carlo Tree Search[J]. Knowledge-Based Systems, 2021, 225: 107067. (中科院1区)

MP-CREDIT: Multi-path credit for high-speed data center transports

**Shan Huang**, Dezun Dong, Zejia Zhou, Xiangke Liao. "MP-CREDIT: Multi-path credit for high-speed data center transports". Comput. Networks 193: 108061 (2021). (CCF-B)

MEBS: Uncovering memory life-cycle bugs in operating system kernels

**Gen Zhang**, Peng-Fei Wang, Tai Yue, Xu Zhou, Kai Lu. "MEBS: Uncovering memory life-cycle bugs in operating system kernels". Journal of Computer Science and Technology 36(6): 1248-1268 (2021). (CCF-B)

Cost-Effective and Interpretable Job Skill Recommendation with Deep Reinforcement Learning

**Ying Sun**, Fuzhen Zhuang, Hengshu Zhu, Qing He, Hui Xiong, "Cost-Effective and Interpretable Job Skill Recommendation with Deep Reinforcement Learning", In Proceedings of The Web Conference 2021 (WWW-2021), Taipei, 2021. (CCF-A)

Modeling the Impact of Person-Organization Fit on Talent Management with Structure-Aware Attentive Neural Networks

**Ying Sun**, Fuzhen Zhuang, Hengshu Zhu, Xin Song, Qing He, Hui Xiong, "Modeling the Impact of Person-Organization Fit on Talent Management with Structure-Aware Attentive Neural Networks", In IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 2021. (CCF-A)

Discerning Decision-Making Process of Deep Neural Networks with Hierarchical Voting Transformation

**Ying Sun**, Hengshu Zhu, Chuan Qin, Fuzhen Zhuang, Qing He, Hui Xiong. "Discerning Decision-Making Process of Deep Neural Networks with Hierarchical Voting Transformation", In The 35th Conference on Neural Information Processing Systems (NeurIPS-2021), 2021. (CCF-A)

Market-oriented Job Skill Valuation with Cooperative Composition Neural Network

**Ying Sun**, Fuzhen Zhuang, Hengshu Zhu, Qi Zhang, Qing He, Hui Xiong, "Market-oriented Job Skill Valuation with Cooperative Composition Neural Network", Nature Communications, 2021.

Congestion control in high-speed lossless data center networks: A survey

**Shan Huang**, Dezun Dong, Wei Bai. "Congestion control in high-speed lossless data center networks: A survey". Future Gener. Comput. Syst. 89: 360-374 (2018). (中科院2区Top)

The Impact of Person-Organization Fit on Talent Management: A Structure-Aware Convolutional Neural Network Approach

**Ying Sun**, Fuzhen Zhuang, Hengshu Zhu, Xin Song, Qing He, Hui Xiong, "The Impact of Person-Organization Fit on Talent Management: A Structure-Aware Convolutional Neural Network Approach", In Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (SIGKDD-2019) , Anchorage, Alaska, 2019. (CCF-A)

Exploring the Urban Region-of-Interest through the Analysis of Online Map Search Queries

**Ying Sun**, Hengshu Zhu, Fuzhen Zhuang, Jingjing Gu, Qing He, "Exploring the Urban Region-of-Interest through the Analysis of Online Map Search Queries", In Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2018), 2018. (CCF-A)

Bit Intelligence & Truth Exploration（BiTrue）

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