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Home/Authors/En Chun

En Chun

2 indexed papers

Recent (6 mo)
2
With code
0
Influential cites
0
Benchmarked
0

Publications per year

2
26

Top categories

Crypto×1Architecture×1AI×1

Frequent co-authors

Kartik Ramkrishnan1×
Stephen McCamant1×
Antonia Zhai1×
Pen Chung Yew1×
Yang Zhang1×
Ziyun Mao1×

Research Timeline

2026
GS-FUSE: Granger-Supervised Gated Fusion and Multi-Granularity Alignment for Event-Driven Financial Forecasting

GS-Fuse is a novel multimodal framework that improves financial forecasting by adaptively fusing event text and price data, achieving state-of-the-art performance by explicitly modeling the directional, causal relationship between events and market movements.

Partitioned Tags, Shared Data: Reconciling Strict Cache Isolation with Write-Shared Coherence

This paper presents SCP, a cache partitioning design that combines strict eviction isolation with write-shared coherence to mitigate eviction-based cache side channels.

Highlighted terms show continued research focus across papers

Papers

cs.CRcs.AREmpiricalRecentJun 10, 2026

Partitioned Tags, Shared Data: Reconciling Strict Cache Isolation with Write-Shared Coherence

Kartik Ramkrishnan, Stephen McCamant, Antonia Zhai, Pen Chung Yew

This paper presents SCP, a cache partitioning design that combines strict eviction isolation with write-shared coherence to mitigate eviction-based cache side channels.

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cs.AIRecentMay 27, 2026

GS-FUSE: Granger-Supervised Gated Fusion and Multi-Granularity Alignment for Event-Driven Financial Forecasting

Yang Zhang, En Chun, Ziyun Mao, Yulu Wu +1 more

GS-Fuse is a novel multimodal framework that improves financial forecasting by adaptively fusing event text and price data, achieving state-of-the-art performance by explicitly modeling the directiona…

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