Search Results for author: Jiayi Chen

Found 10 papers, 2 papers with code

C3SASR: Cheap Causal Convolutions for Self-Attentive Sequential Recommendation

no code implementations2 Nov 2022 Jiayi Chen, Wen Wu, Liye Shi, Yu Ji, Wenxin Hu, Xi Chen, Wei Zheng, Liang He

We evaluate the effectiveness of the proposed model in terms of both accurate and calibrated sequential recommendation.

Sequential Recommendation

Teaching Neural Module Networks to Do Arithmetic

no code implementations COLING 2022 Jiayi Chen, Xiao-Yu Guo, Yuan-Fang Li, Gholamreza Haffari

Answering complex questions that require multi-step multi-type reasoning over raw text is challenging, especially when conducting numerical reasoning.

DexGraspNet: A Large-Scale Robotic Dexterous Grasp Dataset for General Objects Based on Simulation

no code implementations6 Oct 2022 Ruicheng Wang, Jialiang Zhang, Jiayi Chen, Yinzhen Xu, Puhao Li, Tengyu Liu, He Wang

Compared with the field of object grasping with parallel grippers, dexterous grasping is very under-explored, partially owing to the lack of a large-scale dataset.

Tracking and Reconstructing Hand Object Interactions from Point Cloud Sequences in the Wild

no code implementations24 Sep 2022 Jiayi Chen, Mi Yan, Jiazhao Zhang, Yinzhen Xu, Xiaolong Li, Yijia Weng, Li Yi, Shuran Song, He Wang

We for the first time propose a point cloud based hand joint tracking network, HandTrackNet, to estimate the inter-frame hand joint motion.

hand-object pose Object Tracking +1

DACSR: Decoupled-Aggregated End-to-End Calibrated Sequential Recommendation

no code implementations22 Apr 2022 Jiayi Chen, Wen Wu, Liye Shi, Yu Ji, Wenxin Hu, Wei Zheng, Liang He

In this work, we focus on the calibrated recommendations for sequential recommendation, which is connected to both fairness and diversity.

Fairness Sequential Recommendation

Long-Tail Session-based Recommendation from Calibration

no code implementations5 Dec 2021 Jiayi Chen, Wen Wu, Wei Zheng, Liang He

Accurate predictions in session-based recommendations have progressed, but a few studies have focused on skewed recommendation lists caused by popularity bias.

Session-Based Recommendations

HetMAML: Task-Heterogeneous Model-Agnostic Meta-Learning for Few-Shot Learning Across Modalities

no code implementations17 May 2021 Jiayi Chen, Aidong Zhang

To deal with task heterogeneity and promote fast within-task adaptions for each type of tasks, in this paper, we propose HetMAML, a task-heterogeneous model-agnostic meta-learning framework, which can capture both the type-specific and globally shared knowledge and can achieve the balance between knowledge customization and generalization.

Few-Shot Learning

Towards a Unified Evaluation of Explanation Methods without Ground Truth

no code implementations20 Nov 2019 Hao Zhang, Jiayi Chen, Haotian Xue, Quanshi Zhang

This paper proposes a set of criteria to evaluate the objectiveness of explanation methods of neural networks, which is crucial for the development of explainable AI, but it also presents significant challenges.

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