Publications

Shiqing Gao, Yihang Zhou, Shuai Shao, Haoyu Luo, Yiheng Bing, Jiaxin Ding, Luoyi Fu, Xinbing Wang, “Extreme Value Policy Optimization for Safe Reinforcement Learning”, International Conference on Machine Learning (ICML), 2025.
Shiqing Gao, Jiaxin Ding, Luoyi Fu, Xinbing Wang, “Controlling Underestimation Bias in Constrained Reinforcement Learning for Safe Exploration”, International Conference on Machine Learning (ICML), 2025.
Yutong Zhang, Lixing Chen, Shenghong Li, Nan Cao, Yang Shi, Jiaxin Ding, Zhe Qu, Pan Zhou, Yang Bai, “Way to Specialist: Closing Loop Between Specialized LLM and Evolving Domain Knowledge Graph”, ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2025.
Yi Xu, Luoyi Fu, Shuqian Sheng, Bo Xue, Jiaxin Ding, Lei Zhou, Xinbing Wang, Chenghu Zhou, “DeepReport: An AI-assisted Idea Generation System for Scientific Research”, ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2025.
Cheng Xin, Fan Xu, Xin Ding, Jie Gao, Jiaxin Ding, “TopInG: Topologically Interpretable Graph Learning via Persistent Rationale Filtration”, International Conference on Machine Learning (ICML), 2025.
Yule Xie, Jiaxin Ding, Pengyu Xue, Xin Ding, Haochen Han, Luoyi Fu, Xinbing Wang, “Leveraging Homophily under Local Differential Privacy for Effective Graph Neural Networks”, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), 2025.
Yiwei Xu, Xiumian Hu, Eduardo Garzanti, Jiexing Qi, Huquan Kang, Hanqi Nong, Luwen Wu, Jiaxin Ding, Xinbing Wang, Chengshan Wang, “A Century of Knowledge Growth in Sedimentology”, Gondwana Research, 2025.
Huquan Kang, Hanyan Dong, Yuang Ding, Zhouyang Jin, Luoyi Fu, Jiaxin Ding, Xinbing Wang, Lei Zhou, Chenghu Zhou, “Deep Learning and COVID-19: Two Pathways to Scientific Evolution”, Applied Sciences, 2025.
Huawei Ji, Cheng Deng, Bo Xue, Zhouyang Jin, Jiaxin Ding, Xiaoying Gan, Luoyi Fu, Xinbing Wang, Chenghu Zhou, “AceParse: A Comprehensive Dataset with Diverse Structured Texts for Academic Literature Parsing”, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2025.
Kailong Wu, Yule Xie, Jiaxin Ding, Yuxiang Ren, Luoyi Fu, Xinbing Wang, Chenghu Zhou, “Characterizing the Influence of Topology on Graph Learning Tasks”, International Conference on Database Systems for Advanced Applications (DASFAA), 2024.
Shuqian Sheng, Yi Xu, Luoyi Fu, Jiaxin Ding, Lei Zhou, Xinbing Wang, Chenghu Zhou, “Is Reference Necessary in the Evaluation of NLG Systems? When and Where?”, North American Chapter of the Association for Computational Linguistics (NAACL-HLT), 2024.
Shuqian Sheng, Yi Xu, Tianhang Zhang, Zanwei Shen, Luoyi Fu, Jiaxin Ding, Lei Zhou, Xiaoying Gan, Xinbing Wang, Chenghu Zhou, “RepEval: Effective Text Evaluation with LLM Representation”, Empirical Methods in Natural Language Processing (EMNLP), 2024.
Shiqing Gao, Jiaxin Ding, Luoyi Fu, Xinbing Wang, Chenghu Zhou, “Exterior Penalty Policy Optimization with Penalty Metric Network under Constraints”, International Joint Conference on Artificial Intelligence (IJCAI), 2024.
Haochen Han, Shuaiyu Yang, Jiaxin Ding, Luoyi Fu, Xinbing Wang, Chenghu Zhou, “Adversarial Reconstruction of Trajectories: Privacy Risks and Attack Models in Trajectory Embedding”, ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (SIGSPATIAL), 2024.
Yu Zhao, Meng Wang, Jiaxin Ding, Jiexing Qi, Luwen Wu, Sibo Zhang, Luoyi Fu, Xinbing Wang, Li Cheng, “Data-Enhanced Revealing of Trends in Geoscience”, Journal of Data and Information Science, 2024.
Bo Xue, Yi Xu, Yunchong Song, Yiming Pang, Yuyang Ren, Jiaxin Ding, Luoyi Fu, Xinbing Wang, “Unlock the Power of Frozen LLMs in Knowledge Graph Completion”, arXiv, 2024.
Huquan Kang, Luoyi Fu, Russell J. Funk, Xinbing Wang, Jiaxin Ding, Shiyu Liang, Jianghao Wang, Lei Zhou, Chenghu Zhou, “Scientific and Technological Knowledge Grows Linearly Over Time”, arXiv, 2024.
Xinbing Wang, Luoyi Fu, Xiaoying Gan, Ying Wen, Guanjie Zheng, Jiaxin Ding, Liyao Xiang, Nanyang Ye, Meng Jin, Shiyu Liang, et al., “Acemap: Knowledge Discovery Through Academic Graph”, arXiv, 2024.
Xinbing Wang, Huquan Kang, Luoyi Fu, Jiaxin Ding, Jianghao Wang, Xiaoying Gan, Chenghu Zhou, John E. Hopcroft, “Quantifying Knowledge from the Perspective of Information Structurization”, PLOS ONE, 2023.
Chong Zhang, Qiang Guo, Luoyi Fu, Jiaxin Ding, Xinde Cao, Fei Long, Xinbing Wang, Chenghu Zhou, “Finding the Source in Networks: An Approach Based on Structural Entropy”, ACM Transactions on Internet Technology (TOIT), 2023.
Cheng Deng, Bo Tong, Luoyi Fu, Jiaxin Ding, Dexing Cao, Xinbing Wang, Chenghu Zhou, “PK-Chat: Pointer Network Guided Knowledge Driven Generative Dialogue Model”, arXiv, 2023.
Cheng Deng, Jiaxin Ding, Luoyi Fu, Weinan Zhang, Xinbing Wang, Chenghu Zhou, “COVIDia: COVID-19 Interdisciplinary Academic Knowledge Graph”, arXiv, 2023.
Chong Zhang, Luoyi Fu, Jiaxin Ding, Xinde Cao, Fei Long, Xinbing Wang, Lei Zhou, Jing Zhang, Chenghu Zhou, “Community Deception in Large Networks: Through the Lens of Laplacian Spectrum”, IEEE Transactions on Computational Social Systems, 2023.
Xinbing Wang, Huquan Kang, Luoyi Fu, Jiaxin Ding, Shiyu Liang, Jianghao Wang, Lei Zhou, Chenghu Zhou, “Knowledge Does Not Explode but Increases Linearly Over Time”, arXiv, 2023.
Jiaxin Ding, Shichuan Xi, Kailong Wu, Pan Liu, Xinbing Wang, Chenghu Zhou, “Analyzing Sensitive Information Leakage in Trajectory Embedding Models”, Proceedings of International Conference on Advances in Geographic Information Systems (SIGSPATIAL 2022), 2022.
Jiaxin Ding, Bowen Zhang, Xinbing Wang, Chenghu Zhou, “TSNE: Trajectory Similarity Network Embedding”, Proceedings of International Conference on Advances in Geographic Information Systems (SIGSPATIAL 2022), 2022.
Jiaxin Ding, Abhirup Ghosh, Rik Sarkar, Jie Gao, “Publishing Asynchronous Event Times with Pufferfish Privacy”, Proceedings of International Conference on Distributed Computing in Sensor Systems, 2022.
Jianzhi Tang, Luoyi Fu, Jiaxin Ding, Xinbing Wang, Guihai Chen, “Connectivity Maintenance in Uncertain Networks under Adversarial Attack”, Proceedings of IEEE International Conference on Computer Communications (INFOCOM 2022), 2022.
Haonan Zhang, Luoyi Fu, Jiaxin Ding, Feilong Tang, Yao Xiao, Xinbing Wang, Guihai Chen, Chenghu Zhou, “Maximizing the Spread of Effective Informationv in Social Networks”, IEEE Transactions on Knowledge and Data Engineering, 2021.
Yongshuai Liu, Jiaxin Ding, Zhi-Li Zhang, Xin Liu, “CLARA: A Constrained Reinforcement Learning Based Resource Allocation Framework for Network Slicing”, Proceedings of IEEE Big Data 2021.
Yuanjie Li, Esha Datta, Jiaxin Ding, Ness B. Shroff, Liu Xin, “Can Online Learning Increase the Reliability of Extreme Mobility Management?", Proceedings of IEEE/ACM 29th International Symposium on Quality of Service (IWQOS 2021), 2021.
Haotian Wang, Abhirup Ghosh, Jiaxin Ding, Rik Sarkar, Jie Gao, “Heterogeneous interventions reduce the spread of COVID-19 in simulations on real mobility data”, Scientific Reports, 2021.
Abhirup Ghosh*, Jiaxin Ding*, Rik Sarkar, Jie Gao, “Differentially Private Range Counting in Planar Graphs for Spatial Sensing”, Proceedings of IEEE International Conference on Computer Communications (INFOCOM 2020), 2020.
Yongshuai Liu, Jiaxin Ding, Xin Liu, “IPO: Interior-point Policy Optimization under Constraints”, the 34th AAAI Conference on Artificial Intelligence (AAAI 2020), 2020.
Boris Aronov, Alon Efrat, Ming Li, Jie Gao, Joseph S. B. Mitchell, Valentin Polishchuk, Boyang Wang, Hanyu Quan, Jiaxin Ding, “Are Friends of My Friends Too Social? Limitations of Location Privacy in a Socially-Connected World”, Proceedings of ACM International Symposium on Mobile Ad Hoc Networking and Computing (MobiHoc 2018), 2018.
Jiaxin Ding, Chien-chun Ni, Jie Gao, “Fighting Statistic Re-identification in Human Trajectory Publication”, Proceedings of ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL 2017), 2017.
Jiaxin Ding, Chien-chun Ni, Mengyu Zhou, Jie Gao, “MinHash Hierarchy for Privacy Preserving Trajectory Sensing and Query”, Proceedings of ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN'17), 2017.
Su Jia, Xin Jin, Golnaz Ghasemiesfeh, Jiaxin Ding, Jie Gao, “Competitive Analysis for Online Scheduling in Software-Defined Optical WAN”, Proceedings of IEEE International Conference on Computer Communications (INFOCOM'17), 2017.
Jiaxin Ding, Jie Gao, Hui Xiong, “Understanding and Modelling Information Dissemination Patterns in Vehicle-to-Vehicle Networks”, Proceedings of ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL 2015), 2015.
Xiaotian Yin , Chien-Chun Ni , Jiaxin Ding , Wei Han , Dengpan Zhou, Jie Gao, Xianfeng Gu, “Decentralized Human Trajectories Tracking Using Hodge Decomposition in Sensor Networks”, Proceedings of ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL 2015), 2015.

Jiaxin Ding

Tenure-Track Associate Professor

Shanghai Jiao Tong University

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