activity
20242026
most citedTime Evidence Fusion Network: Multi-source View in Long-Term Time Series Forecasting

7 citations · 13 across the 10 of their papers we have counts for

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6 papers · 1 filter

cs.AI2026

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.…

cs.AI2024★ 1 cited

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…

cs.AI2024

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…

cs.AI2024

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…

cs.AI2024

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,…

cs.AI2024

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…