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20162025
most citedModel-based Deep Reinforcement Learning for Dynamic Portfolio Optimization

63 citations · 80 across the 12 of their papers we have counts for

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10 papers · 1 filter

cs.CV2025

JWB-DH-V1: Benchmark for Joint Whole-Body Talking Avatar and Speech Generation Version 1

Xinhan Di, Kristin Qi, Pengqian Yu

Recent advances in diffusion-based video generation have enabled photo-realistic short clips, but current methods still struggle to achieve multi-modal consistency when jointly gen…

cs.CV2022

Hierarchical Reinforcement Learning for Furniture Layout in Virtual Indoor Scenes

Xinhan Di, Pengqian Yu

In real life, the decoration of 3D indoor scenes through designing furniture layout provides a rich experience for people. In this paper, we explore the furniture layout task as a…

cs.CV2022

LWA-HAND: Lightweight Attention Hand for Interacting Hand Reconstruction

Xinhan Di, Pengqian Yu

Recent years have witnessed great success for hand reconstruction in real-time applications such as visual reality and augmented reality while interacting with two-hand reconstruct…

cs.CV2021★ 2 cited

Multi-Agent Reinforcement Learning of 3D Furniture Layout Simulation in Indoor Graphics Scenes

Xinhan Di, Pengqian Yu

In the industrial interior design process, professional designers plan the furniture layout to achieve a satisfactory 3D design for selling. In this paper, we explore the interior…

cs.CV2021★ 4 cited

Deep Reinforcement Learning for Producing Furniture Layout in Indoor Scenes

Xinhan Di, Pengqian Yu

In the industrial interior design process, professional designers plan the size and position of furniture in a room to achieve a satisfactory design for selling. In this paper, we…

cs.CV2020★ 2 cited

End-to-end Generative Floor-plan and Layout with Attributes and Relation Graph

Xinhan Di, Pengqian Yu, Danfeng Yang +3

In this paper, we propose an end-end model for producing furniture layout for interior scene synthesis from the random vector. This proposed model is aimed to support professional…