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Jiashuo Sun

DAMO Academy, Alibaba Group

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Open access 2026

Robust Beamforming for Full-Duplex Integrated Secure Communication, Computation, and Energy Networks Under Imperfect CSI

This paper proposes a robust beamforming framework for a full-duplex (FD) integrated secure communication, computation, and energy (ISC2E) network. In the considered network, an FD base station (BS) simultaneously performs downlink wireless power transfer while aggregating uplink over-the-air computation data and recei...

Chang-Jie Hu, Jiashuo Sun, Tuo Wu et al. · 0 citations

Learning to Predict Future-Aligned Research Proposals with Language Models

This work reframing proposal generation as a time-sliced scientific forecasting problem, given a research question and inspiring papers available before a cutoff time, and operationalizes this objective with the Future Alignment Score (FAS), computed via retrieval and LLM-based semantic scoring against a held-out futur...

Heng Wang, Pengcheng Jiang, Jiashuo Sun et al. · 5 citations
Book Open access Aug 2026

Structure Shapes the Future of DataxLLM Systems: Retrieval, Structuring, and Reasoning

This tutorial presents a unified vision in which structuring serves as the enabling foundation for three pillars of next-generation LLM systems, highlighting how the cooperative interplay between classical KDD techniques and modern LLMs-where KDD defines structural schemas and quality constraints while LLMs execute fle...

Peng-Cheng Jiang, Jiashuo Sun, Wonbin Kweon et al. · 0 citations
Book Open access Aug 2026

Structure Shapes the Future of DataxLLM Systems: Retrieval, Structuring, and Reasoning

This tutorial presents a unified vision in which structuring serves as the enabling foundation for three pillars of next-generation LLM systems, highlighting how the cooperative interplay between classical KDD techniques and modern LLMs-where KDD defines structural schemas and quality constraints while LLMs execute fle...

Pengcheng Jiang, Jiashuo Sun, Wonbin Kweon et al. · 0 citations
Preprint Aug 2026

EnSI-RAG: Entity-Structure-Indexed Retrieval-Augmented Generation for Long-Document Question Answering

This work proposes EnSI-RAG (Entity-Structure-Indexed Retrieval-Augmented Generation), a framework that constructs a query-independent, entity-centered index that separates evidence localization from answer synthesis while preserving traceable source evidence.

Xuan-Yu Meng, Jiashuo Sun, Jash Parekh et al. · 1 citation

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