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Parallel Temporal Encoder for Sign Language Translation
Published in 2019 IEEE International Conference on Image Processing (ICIP 2019), 2019
This paper proposes a parallel temporal encoder for sign language translation.
Recommended citation: Peipei Song, Dan Guo, Haoran Xin, Meng Wang. (2019). "Parallel Temporal Encoder for Sign Language Translation." ICIP 2019.
Out-of-Town Recommendation with Travel Intention Modeling
Published in Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI 2021), 2021
This paper addresses the challenge of recommending points-of-interest to out-of-town users by modeling travel intentions.
Recommended citation: Haoran Xin, Xinjiang Lu, Tong Xu, Hao Liu, Jingjing Gu, Dejing Dou, Hui Xiong. (2021). "Out-of-Town Recommendation with Travel Intention Modeling." AAAI 2021.
Intelligent Electric Vehicle Charging Recommendation Based on Multi-Agent Reinforcement Learning
Published in Proceedings of the Web Conference 2021 (WWW 2021), 2021
This paper proposes an intelligent EV charging recommendation method based on multi-agent reinforcement learning.
Recommended citation: Weijia Zhang, Hao Liu, Fan Wang, Tong Xu, Haoran Xin, Dejing Dou, Hui Xiong. (2021). "Intelligent Electric Vehicle Charging Recommendation Based on Multi-Agent Reinforcement Learning." WWW 2021.
RLCharge: Imitative Multi-Agent Spatiotemporal Reinforcement Learning for Electric Vehicle Charging Station Recommendation
Published in IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 2022
This paper proposes RLCharge, an imitative multi-agent spatiotemporal reinforcement learning approach for EV charging station recommendation.
Recommended citation: Weijia Zhang, Hao Liu, Hui Xiong, Tong Xu, Fan Wang, Haoran Xin, Hua Wu. (2022). "RLCharge: Imitative Multi-Agent Spatiotemporal Reinforcement Learning for Electric Vehicle Charging Station Recommendation." IEEE TKDE.
CAPTOR: A Crowd-Aware Pre-Travel Recommender System for Out-of-Town Users
Published in Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2022), 2022
This paper proposes CAPTOR, a crowd-aware pre-travel recommender system designed for out-of-town users.
Recommended citation: Haoran Xin, Xinjiang Lu, Nengjun Zhu, Tong Xu, Dejing Dou, Hui Xiong. (2022). "CAPTOR: A Crowd-Aware Pre-Travel Recommender System for Out-of-Town Users." SIGIR 2022.
A Table-to-Text Framework with Heterogeneous Multidominance Attention and Self-Evaluated Multi-Pass Deliberation
Published in Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
This paper proposes a table-to-text generation framework with heterogeneous multidominance attention and self-evaluated multi-pass deliberation.
Recommended citation: Xi Chen, Xinjiang Lu, Haoran Xin, Wenjun Peng, Haoyang Duan, Feihu Jiang, Jingbo Zhou, Hui Xiong. (2023). "A Table-to-Text Framework with Heterogeneous Multidominance Attention and Self-Evaluated Multi-Pass Deliberation." Findings of EMNLP 2023.
Improving Recommendation Fairness without Sensitive Attributes Using Multi-Persona LLMs
Published in Preprint, 2025
This paper proposes using multi-persona LLMs to improve recommendation fairness without requiring sensitive user attributes.
Recommended citation: Haoran Xin, Ying Sun, Chao Wang, Yanke Yu, Weijia Zhang, Hui Xiong. (2025). "Improving Recommendation Fairness without Sensitive Attributes Using Multi-Persona LLMs." Preprint.
LLMs as Better Recommenders with Natural Language Collaborative Signals: A Self-Assessing Retrieval Approach
Published in Preprint, 2025
This paper proposes a self-assessing retrieval approach that leverages natural language collaborative signals to improve LLM-based recommendation.
Recommended citation: Haoran Xin, Ying Sun, Chao Wang, Weijia Zhang, Hui Xiong. (2025). "LLMs as Better Recommenders with Natural Language Collaborative Signals: A Self-Assessing Retrieval Approach." Preprint.
LLMCDSR: Enhancing Cross-Domain Sequential Recommendation with Large Language Models
Published in ACM Transactions on Information Systems (ACM TOIS), 2025
This paper presents LLMCDSR, a method that leverages large language models to enhance cross-domain sequential recommendation.
Recommended citation: Haoran Xin, Ying Sun, Chao Wang, Hui Xiong. (2025). "LLMCDSR: Enhancing Cross-Domain Sequential Recommendation with Large Language Models." ACM Transactions on Information Systems (ACM TOIS).
How Business Agglomeration Affects Individual Points-of-Interest: A Causal Effect Estimation Perspective
Published in ACM Transactions on Knowledge Discovery from Data (ACM TKDD), 2026
This paper applies causal inference techniques to quantify the impact of urban business agglomeration on individual POI performance.
Recommended citation: Haoran Xin, Xinjiang Lu, Ying Sun, Nengjun Zhu, Tong Xu, Jingbo Zhou, Hui Xiong. (2026). "How Business Agglomeration Affects Individual Points-of-Interest: A Causal Effect Estimation Perspective." ACM Transactions on Knowledge Discovery from Data (ACM TKDD).