7 citations · 13 across the 10 of their papers we have counts for
11 papers
World Requirement Model: Learning Requirement-Change Consequences from Typed Artifact Graphs
Yuanpeng He, Lijian Li, Dongming Jin +7
Requirement changes can affect connected stakeholders, constraints, components, and tests. We present World Requirement Model (WRM), which encodes this engineering context as a typ…
AION: Next-Generation Tasks and Practical Harness for Time Series
Tianxiang Zhan, Xiaobao Song, Tong Guan +2
Time series research is moving beyond fixed forecasting benchmarks toward realistic tasks that combine prediction, contextual reasoning, tool use, and structured decision support.…
End-to-End Learning for Partially-Observed Time Series with PyPOTS
Wenjie Du, Yiyuan Yang, Tianxiang Zhan +1
Partially-observed time series (POTS) is ubiquitous in real-world applications, yet most existing toolchains separate missing-value handling from downstream learning, which limits…
Long-distance free-space quantum key distribution with continuous variables
Tianxiang Zhan, Huasheng Li, Peng Huang +17
Continuous-variable quantum key distribution (CVQKD) enables remote users to share high-rate and unconditionally secure secret keys while maintaining compatibility with classical o…
Continuous Evolution Pool: Taming Recurring Concept Drift in Online Time Series Forecasting
Tianxiang Zhan, Ming Jin, Yuanpeng He +2
Recurring concept drift is pervasive in real-world online time series, where the underlying data-generating process repeatedly alternates between a small set of regimes, most notab…
Evaluating Evidential Reliability In Pattern Recognition Based On Intuitionistic Fuzzy Sets
Juntao Xu, Tianxiang Zhan, Yong Deng
Determining the reliability of evidence sources is a crucial topic in Dempster-Shafer theory (DST). Previous approaches have addressed high conflicts between evidence sources using…
Reliability Assessment of Information Sources Based on Random Permutation Set
Juntao Xu, Tianxiang Zhan, Yong Deng
In pattern recognition, handling uncertainty is a critical challenge that significantly affects decision-making and classification accuracy. Dempster-Shafer Theory (DST) is an effe…
Time Evidence Fusion Network: Multi-source View in Long-Term Time Series Forecasting
Tianxiang Zhan, Yuanpeng He, Yong Deng +3
In practical scenarios, time series forecasting necessitates not only accuracy but also efficiency. Consequently, the exploration of model architectures remains a perennially trend…
Isopignistic Canonical Decomposition via Belief Evolution Network
Qianli Zhou, Tianxiang Zhan, Yong Deng
Developing a general information processing model in uncertain environments is fundamental for the advancement of explainable artificial intelligence. Dempster-Shafer theory of evi…
Random Graph Set and Evidence Pattern Reasoning Model
Tianxiang Zhan, Zhen Li, Yong Deng
Evidence theory is widely used in decision-making and reasoning systems. In previous research, Transferable Belief Model (TBM) is a commonly used evidential decision making model,…
Learnable WSN Deployment of Evidential Collaborative Sensing Model
Ruijie Liu, Tianxiang Zhan, Zhen Li +1
In wireless sensor networks (WSNs), coverage and deployment are two most crucial issues when conducting detection tasks. However, the detection information collected from sensors i…