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portfolio
孙莹
Dr. Ying Sun is currently an assistant professor at Artificial Intelligence Thrust, the Hong Kong University of Science and Technology (Guangzhou). She received the Ph.D. degree from the Institute of Computing Technology, Chinese Academy of Sciences, China. Prior to that, she received her B.E. degree from Beijing Institute of Technology, China. She won two second runner ups in ACM-ICPC Asian regional contest and was an ACM-ICPC world finalist. Her general research interests include data mining and machine learning, with a focus on explainable Artificial Intelligence (XAI) for supporting real-world decision-making scenarios. She has published prolifically in prestigious refereed journals and top-tier conference Proceedings such as Nature Cities, Nature Communications (NCOMMS), IEEE Transactions on Knowledge and Data Engineering (TKDE), ACM Transactions on Information Systems (TOIS), ACM Transactions on Intelligent Systems and Technology (TIST), SIGKDD, NeurIPS, SIGIR, TheWebConf, IEEE ICDM, etc. These works have been covered by authoritative medias such as China Daily and Guangming Net. She serves as program committee members in numerous top conferences such as IJCAI and AAAI. Some of the honors Dr. Ying Sun has won include CCF Excellent Doctoral Dissertation Incentive Program（CCF优博）, Zhuliyuehua Award of Chinese Academy of Sciences, Baidu scholarships top 20 candidates, etc.
E-mail: sunyinggilly@gmail.com
黄山
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曾令斌
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张根
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publications
Exploring the Urban Region-of-Interest through the Analysis of Online Map Search Queries
Published in ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2018
Recommended citation:
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)
The Impact of Person-Organization Fit on Talent Management: A Structure-Aware Convolutional Neural Network Approach
Published in ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2019
Recommended citation:
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)
Congestion control in high-speed lossless data center networks: A survey
Published in Future Gener. Comput. Syst., 2019
Recommended citation:
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)
Market-oriented Job Skill Valuation with Cooperative Composition Neural Network
Published in Nature Communications, 2021
Recommended citation:
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.
Discerning Decision-Making Process of Deep Neural Networks with Hierarchical Voting Transformation
Published in Conference on Neural Information Processing Systems, 2021
Recommended citation:
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)
Modeling the Impact of Person-Organization Fit on Talent Management with Structure-Aware Attentive Neural Networks
Published in In IEEE Transactions on Knowledge and Data Engineering, 2021
Recommended citation:
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)
Cost-Effective and Interpretable Job Skill Recommendation with Deep Reinforcement Learning
Published in In Proceedings of The Web Conference, 2021
Recommended citation:
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)
MEBS: Uncovering memory life-cycle bugs in operating system kernels
Published in Journal of Computer Science and Technology, 2021
Recommended citation:
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)
MP-CREDIT: Multi-path credit for high-speed data center transports
Published in Comput. Networks, 2021
Recommended citation:
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)
The hierarchical task network planning method based on Monte Carlo Tree Search
Published in Knowledge-Based Systems, 2021
Recommended citation:
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)
Ovaflow: Detecting memory corruption bugs with fuzzing-based taint inference
Published in Journal of Computer Science and Technology, 2022
Recommended citation:
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)
FastCredit: Expediting credit-based congestion control in datacenters
Published in Comput. Networks, 2022
Recommended citation:
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)
DC4: Reconstructing Data-Credit-Coupled Congestion Control for Data Centers
Published in ICPP, 2022
Recommended citation:
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)
MobFuzz: Adaptive Multi-objective Optimization in Gray-box Fuzzing
Published in NDSS, 2022
Recommended citation:
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)
Interactive Interior Design Recommendation via Coarse-to-fine Multimodal Reinforcement Learning
Published in International Conference on Multimedia, 2023
Recommended citation:
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)
Large-scale Online Job Search Behaviors Reveal Labor Market Shifts Amid COVID-19
Published in Nature Cities, 2024
Recommended citation:
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.
Deadline-Aware Data-Credit-Coupled Transmission for Data Centers
Published in IEEE Internet Things, 2024
Recommended citation:
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)
Instiller: Toward Efficient and Realistic RTL Fuzzing
Published in IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2024
Recommended citation:
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)
SpGesture: Source-Free Domain-adaptive sEMG-based Gesture Recognition with Jaccard Attentive Spiking Neural Network
Published in Annual Conference on Neural Information Processing Systems, 2024
Recommended citation:
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)
An Energy-centric Framework for Category-free Out-of-distribution Node Detection in Graphs
Published in conference on Knowledge Discovery and Data Mining, 2024
Recommended citation:
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)
Graph Reasoning Enhanced Language Models for Text-to-SQL
Published in Conference on Research and Development in Information Retrieval, 2024
Recommended citation:
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)
Enhancing Binary Convolutional Neural Networks for Hyperspectral Image Classification
Published in Remote. Sens., 2024
Recommended citation:
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)
An interpretable image classification model combining a fuzzy neural network with a variational autoencoder inspired by the human brain
Published in Information Sciences, 2024
Recommended citation:
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)
A Comprehensive Survey on Self-Interpretable Neural Networks
Published in Proceedings of IEEE, 2025
Recommended citation:
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)
NGTM: Substructure-based Neural Graph Topic Model for Interpretable Graph Generation
Published in Conference on Artificial Intelligence, 2025
Recommended citation:
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)
Logic-in-Frames: Dynamic Keyframe Search via Visual Semantic-Logical Verification for Long Video Understanding
Published in Conference on Neural Information Processing Systems, 2025
Recommended citation:
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)
Multifractal Comparison of Billboard and AI-Generated Music
Published in International Conference on Multimedia, 2025
Recommended citation:
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)
Towards Faithful Neural Network Intrinsic Interpretation with Shapley Additive Self-Attribution
Published in IEEE Transactions on Neural Networks and Learning Systems, 2025
Recommended citation:
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)
Unifying Knowledge from Diverse Datasets to Enhance Spatial-Temporal Modeling: A Granularity-Adaptive Geographical Embedding Approach
Published in International Conference on Machine Learning, 2025
Recommended citation:
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 Lifelong Model Editing via Simulating Ideal Editor
Published in International Conference on Machine Learning, 2025
Recommended citation:
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)
Efficient Skill Discovery via Regret-Aware Optimization
Published in International Conference on Machine Learning, 2025
Recommended citation:
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)
Exploring Hypergraph Condensation via Variational Hyperedge Generation and Multi-Aspectual Amelioration
Published in In Proceedings of The Web Conference, 2025
Recommended citation:
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)
LLMCDSR: Enhancing Cross-Domain Sequential Recommendation with Large Language Models
Published in ACM Transactions on Information Systems, 2025
Recommended citation:
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)
Enhancing Job Salary Prediction with Disentangled Composition Effect Modeling: A Neural Prototyping Approach
Published in Frontiers of Computer Science, 2025
Recommended citation:
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)
Survey of storage systems in high performance computing
Published in CCF Transactions on High Performance Computing, 2025
Recommended citation:
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)
How Business Agglomeration Affects Individual Points-of-Interest: A Causal Effect Estimation Perspective
Published in ACMTransactions on Knowledge Discovery from Data, 2025
Recommended citation:
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)
Interpretable research of fuzzy methods: A literature survey
Published in Inf. Fusion, 2026
Recommended citation:
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)
MolEditRL: Structure-Preserving Molecular Editing via Discrete Diffusion and Reinforcement Learning
Published in International Conference on Learning Representations, 2026
Recommended citation:
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)
Forest-Based Graph Learning for Semi-Supervised Node Classification
Published in International Conference on Learning Representations, 2026
Recommended citation:
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)
Q-Guided Priors and Entropy Control for Distilling Flow Policies
Published in International Conference on Learning Representations, 2026
Recommended citation:
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)
Efficient Satellite Hardware Architecture for Accelerating Satellite Computing Power Networks
Published in IEEE Internet Things, 2026
Recommended citation:
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)
Discovering Decoupled Functional Modules in Large Language Models
Published in Conference on Artificial Intelligence, 2026
Recommended citation:
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)
MCLMR: A Model-Agnostic Causal Learning Framework for Multi-Behavior Recommendation
Published in In Proceedings of The Web Conference, 2026
Recommended citation:
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)
Enhance the Safety in Reinforcement Learning by ADRC Lagrangian Methods
Published in Transactions on Machine Learning Research (TMLR), 2026
Recommended citation:
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)
Representation-Aware Modularity: Efficient Cross-Task Generalization for LLMs
Published in The 35th International Joint Conference on Artificial Intelligence (IJCAI-2026), 2026
Recommended citation:
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)
Low-cost Full Fine-tuning: Learning What to Update for LLMs
Published in 43rd International Conference on Machine Learning (ICML-2026), 2026
Recommended citation:
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)
OCP: Outlier-Centric Probing for Dynamic Structured Pruning of LLMs
Published in The 64th Annual Meeting of the Association for Computational Linguistics (ACL-2026), 2026
Recommended citation:
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)
REAP: Towards Effective Training-Free Chemical Reasoning with Explicit Atomic Priors
Published in The 64th Annual Meeting of the Association for Computational Linguistics (ACL-2026), 2026
Recommended citation:
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)
Punctuation-Steered Representation Fine-Tuning
Published in The 64th Annual Meeting of the Association for Computational Linguistics (ACL-2026), 2026
Recommended citation:
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)
Discrete Preference Learning for Personalized Multimodal Generation
Published in The 49th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR-2026), 2026
Recommended citation:
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)
TDHGNN: A Temporal Directed Hypergraph Neural Network for Bitcoin Fraud Detection
Published in The 49th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR-2026), 2026
Recommended citation:
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)
Graph-based Prompt Learning with Mixture of Experts for Multi-task Corporate Profiling
Published in ACM Transactions on Knowledge Discovery from Data (ACM TKDD), 2026
Recommended citation:
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)
LiDAR-to-4DRadar Diffusion Bridge via Cross-Modal Alignment and Translation in Latent Space
Published in IEEE/CVF Conference on Computer Vision and Pattern Recognition 2026 (CVPR-2026), 2026
Recommended citation:
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)
MolEditRL: Structure-Preserving Molecular Editing via Discrete Diffusion and Reinforcement Learning
Published in The 14th International Conference on Learning Representations (ICLR-2026), 2026
Recommended citation:
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)
Forest-Based Graph Learning for Semi-Supervised Node Classification
Published in The 14th International Conference on Learning Representations (ICLR-2026), 2026
Recommended citation:
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)
GoldenStart: Q-Guided Priors and Entropy Control for Distilling Flow Policies
Published in The 14th International Conference on Learning Representations (ICLR-2026), 2026
Recommended citation:
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)
BitHeteroNet: A Heterogeneous Network Benchmark for Enhanced Anomaly Detection in Bitcoin Transactions
Published in In Proceedings of The Web Conference (WWW-2026), 2026
Recommended citation:
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
Published in In Proceedings of The Web Conference 2026 (WWW-2026), 2026
Recommended citation:
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
Published in In Proceedings of The Web Conference, 2026
Recommended citation:
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)
End-to-end congestion control in datacenter networks: a survey
Published in Frontiers Comput. Sci., 2026
Recommended citation:
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)
talks
Talk 1 on Relevant Topic in Your Field
Published:
This is a description of your talk, which is a markdown file that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
Published:
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.