Shun Zheng
Orcid: 0009-0005-7355-7090Affiliations:
- Microsoft Research Asia, Beijing, China
- Tsinghua University, Institute for Interdisciplinary Information Sciences, Beijing, China (PhD 2020)
According to our database1,
Shun Zheng
authored at least 35 papers
between 2016 and 2025.
Collaborative distances:
Collaborative distances:
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Bibliography
2025
Reinforcement Learning with Verifiable Rewards Implicitly Incentivizes Correct Reasoning in Base LLMs.
CoRR, June, 2025
Are Time-Series Foundation Models Deployment-Ready? A Systematic Study of Adversarial Robustness Across Domains.
CoRR, May, 2025
Chemistry-aware battery degradation prediction under simulated real-world cyclic protocols.
CoRR, April, 2025
Scalable In-Context Learning on Tabular Data via Retrieval-Augmented Large Language Models.
CoRR, February, 2025
Battery lifetime prediction across diverse ageing conditions with inter-cell deep learning.
Nat. Mac. Intell., 2025
Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025
2024
ACM Trans. Knowl. Discov. Data, April, 2024
PLoS Comput. Biol., 2024
Addressing Distribution Shift in Time Series Forecasting with Instance Normalization Flows.
CoRR, 2024
ElasTST: Towards Robust Varied-Horizon Forecasting with Elastic Time-Series Transformer.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
ProbTS: Benchmarking Point and Distributional Forecasting across Diverse Prediction Horizons.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
From Supervised to Generative: A Novel Paradigm for Tabular Deep Learning with Large Language Models.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
2023
Learning Intra- and Inter-Cell Differences for Accurate Battery Lifespan Prediction across Diverse Conditions.
CoRR, 2023
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023
2022
Less Is More: Fast Multivariate Time Series Forecasting with Light Sampling-oriented MLP Structures.
CoRR, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
A continuous glucose monitoring measurements forecasting approach via sporadic blood glucose monitoring.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
2021
Proceedings of the NeurIPS 2022 Competition Track, 2021
HierST: A Unified Hierarchical Spatial-temporal Framework for COVID-19 Trend Forecasting.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021
2020
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020
2019
Doc2EDAG: An End-to-End Document-level Framework for Chinese Financial Event Extraction.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019
DIAG-NRE: A Neural Pattern Diagnosis Framework for Distantly Supervised Neural Relation Extraction.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019
2018
DIAG-NRE: A Deep Pattern Diagnosis Framework for Distant Supervision Neural Relation Extraction.
CoRR, 2018
2017
A General Distributed Dual Coordinate Optimization Framework for Regularized Loss Minimization.
J. Mach. Learn. Res., 2017
2016
A General Distributed Dual Coordinate Optimization Framework for Regularized Loss Minimization.
CoRR, 2016