Search Results for author: Xu Xie

Found 9 papers, 6 papers with code

CausCF: Causal Collaborative Filtering for RecommendationEffect Estimation

no code implementations28 May 2021 Xu Xie, Zhaoyang Liu, Shiwen Wu, Fei Sun, Cihang Liu, Jiawei Chen, Jinyang Gao, Bin Cui, Bolin Ding

It is based on the idea that similar users not only have a similar taste on items, but also have similar treatment effect under recommendations.

Collaborative Filtering Recommendation Systems

Trajectory Prediction with Latent Belief Energy-Based Model

1 code implementation CVPR 2021 Bo Pang, Tianyang Zhao, Xu Xie, Ying Nian Wu

Sampling from or optimizing the learned LB-EBM yields a belief vector which is used to make a path plan, which then in turn helps to predict a long-range trajectory.

Self-Driving Cars Trajectory Prediction

Reconstructing Interactive 3D Scenes by Panoptic Mapping and CAD Model Alignments

1 code implementation30 Mar 2021 Muzhi Han, Zeyu Zhang, Ziyuan Jiao, Xu Xie, Yixin Zhu, Song-Chun Zhu, Hangxin Liu

In this paper, we rethink the problem of scene reconstruction from an embodied agent's perspective: While the classic view focuses on the reconstruction accuracy, our new perspective emphasizes the underlying functions and constraints such that the reconstructed scenes provide \em{actionable} information for simulating \em{interactions} with agents.

Common Sense Reasoning

Congestion-aware Multi-agent Trajectory Prediction for Collision Avoidance

1 code implementation26 Mar 2021 Xu Xie, Chi Zhang, Yixin Zhu, Ying Nian Wu, Song-Chun Zhu

Predicting agents' future trajectories plays a crucial role in modern AI systems, yet it is challenging due to intricate interactions exhibited in multi-agent systems, especially when it comes to collision avoidance.

Trajectory Prediction

Explore User Neighborhood for Real-time E-commerce Recommendation

no code implementations28 Feb 2021 Xu Xie, Fei Sun, Xiaoyong Yang, Zhao Yang, Jinyang Gao, Wenwu Ou, Bin Cui

On the one hand, it utilizes UI relations and user neighborhood to capture both global and local information.

Collaborative Filtering Recommendation Systems

Graph Neural Networks in Recommender Systems: A Survey

1 code implementation4 Nov 2020 Shiwen Wu, Fei Sun, Wentao Zhang, Xu Xie, Bin Cui

With the explosive growth of online information, recommender systems play a key role to alleviate such information overload.

Graph Representation Learning Recommendation Systems

Contrastive Learning for Sequential Recommendation

1 code implementation27 Oct 2020 Xu Xie, Fei Sun, Zhaoyang Liu, Shiwen Wu, Jinyang Gao, Bolin Ding, Bin Cui

Sequential recommendation methods play a crucial role in modern recommender systems because of their ability to capture a user's dynamic interest from her/his historical interactions.

Contrastive Learning Data Augmentation +1

VRKitchen: an Interactive 3D Virtual Environment for Task-oriented Learning

1 code implementation13 Mar 2019 Xiaofeng Gao, Ran Gong, Tianmin Shu, Xu Xie, Shu Wang, Song-Chun Zhu

One of the main challenges of advancing task-oriented learning such as visual task planning and reinforcement learning is the lack of realistic and standardized environments for training and testing AI agents.

reinforcement-learning

Alibaba at IJCNLP-2017 Task 2: A Boosted Deep System for Dimensional Sentiment Analysis of Chinese Phrases

no code implementations IJCNLP 2017 Xin Zhou, Jian Wang, Xu Xie, Changlong Sun, Luo Si

For word level task our best run achieved MAE 0. 545 (ranked 2nd), PCC 0. 892 (ranked 2nd) in valence prediction and MAE 0. 857 (ranked 1st), PCC 0. 678 (ranked 2nd) in arousal prediction.

Feature Engineering Part-Of-Speech Tagging +1

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