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Jianrong Tao

4 accepted papers

2026

Mem4D: Decoupling Static and Dynamic Memory for Dynamic Scene Reconstruction

AAAI 2026technical

Reconstructing dense geometry for dynamic scenes from a monocular video is a critical yet challenging task. Recent memory-based methods enable efficient online reconstruction, but they fundamentally suffer from a Memory Demand Dilemma: The memory representation faces an inherent conflict be

Cited by 0SourcePDFScholar
2022

Multi-Dimensional Prediction of Guild Health in Online Games: A Stability-Aware Multi-Task Learning Approach

AAAI 2022technical

Guild is the most important long-term virtual community and emotional bond in massively multiplayer online role-playing games (MMORPGs). It matters a lot to the player retention and game ecology how the guilds are going, e.g., healthy or not. The main challenge now is to characterize and predict the…

Cited by 4SourcePDFScholar
2021

NeuralAC: Learning Cooperation and Competition Effects for Match Outcome Prediction

AAAI 2021technical

Match outcome prediction in group comparison setting is a challenging but important task. Existing works mainly focus on learning individual effects or mining limited interactions between teammates, which is not sufficient for capturing complex interactions between teammates as well as between oppon…

2021

Reinforcement Learning with a Disentangled Universal Value Function for Item Recommendation

AAAI 2021technical

In recent years, there are great interests as well as many challenges in applying reinforcement learning (RL) to recommendation systems (RS). In this paper, we summarize three key practical challenges of large-scale RL-based recommender systems: massive state and action spaces, high-variance environ…