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DHEN: hierarchical ensembles of heterogeneous feature interactions

Stacked ensembles of complementary feature-interaction modules with shared feature processing and residual information flow, paired with hybrid sharded training to support deeper click-prediction models.

What is recorded here?

Stacked ensembles of complementary feature-interaction modules with shared feature processing and residual information flow, paired with hybrid sharded training to support deeper click-prediction models.

Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.

Scientific scope

Reuses established attention, convolution, DLRM, DCN, FSDP and checkpointing components. Its contribution is their heterogeneous interaction hierarchy and associated training design, not invention of those components. Normalized-entropy improvement is not a revenue or absolute click-through-rate gain; results are empirical.

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People and systems

Buyun Zhang; Liang Luo; Xi Liu; Jay Li; Zeliang Chen; Weilin Zhang; Xiaohan Wei; Yuchen Hao; Michael Tsang; Wenjun Wang; Yang Liu; Huayu Li; Yasmine Badr; Jongsoo Park; Jiyan Yang; Dheevatsa Mudigere; Ellie Wen

Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.

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English catalogue narrative

DHEN: hierarchical ensembles of heterogeneous feature interactions

Stacked ensembles of complementary feature-interaction modules with shared feature processing and residual information flow, paired with hybrid sharded training to support deeper click-prediction models.

Scientific scope

Reuses established attention, convolution, DLRM, DCN, FSDP and checkpointing components. Its contribution is their heterogeneous interaction hierarchy and associated training design, not invention of those components. Normalized-entropy improvement is not a revenue or absolute click-through-rate gain; results are empirical.

Reading status

This is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.

People and systems

Buyun Zhang; Liang Luo; Xi Liu; Jay Li; Zeliang Chen; Weilin Zhang; Xiaohan Wei; Yuchen Hao; Michael Tsang; Wenjun Wang; Yang Liu; Huayu Li; Yasmine Badr; Jongsoo Park; Jiyan Yang; Dheevatsa Mudigere; Ellie Wen

Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.

Original sources