2026
Collapse Hunter: Tackling the Dimensional Degeneration in Generative Ranking
Haoran Xin, Junwei Pan, Yongqi Zhou, Tianqu Zhuang, Yilong Sun, Zhixiang Feng, Shoujun Liu, Gong Chen, Shudong Huang, Haijie Gu, Hui Xiong
Conference on Neural Information Processing Systems (NeurIPS) 2026
Collapse Hunter: Tackling the Dimensional Degeneration in Generative Ranking
Haoran Xin, Junwei Pan, Yongqi Zhou, Tianqu Zhuang, Yilong Sun, Zhixiang Feng, Shoujun Liu, Gong Chen, Shudong Huang, Haijie Gu, Hui Xiong
Conference on Neural Information Processing Systems (NeurIPS) 2026
Escaping the KL Agreement Trap in On-Policy Distillation
Haoran Xin, Anhao Zhao, Ying Sun, Jin Li, Xiaoyu Shen, Hui Xiong
Conference on Empirical Methods in Natural Language Processing (EMNLP), Main Conference 2026 Oral
This paper identifies the low-KL agreement trap in on-policy distillation and proposes a training-adaptive termination rule.
Escaping the KL Agreement Trap in On-Policy Distillation
Haoran Xin, Anhao Zhao, Ying Sun, Jin Li, Xiaoyu Shen, Hui Xiong
Conference on Empirical Methods in Natural Language Processing (EMNLP), Main Conference 2026 Oral
This paper identifies the low-KL agreement trap in on-policy distillation and proposes a training-adaptive termination rule.
Decoupling KL and Trajectories: A Unified Perspective for SFT, DAgger, Offline RL, and OPD in LLM Distillation
Anhao Zhao, Haoran Xin, Yingqi Fan, Junlong Tong, Wenjie Li, Xiaoyu Shen
arXiv preprint 2026
This paper presents a unified perspective that decouples prefix sources from token-level KL directions in LLM distillation.
Decoupling KL and Trajectories: A Unified Perspective for SFT, DAgger, Offline RL, and OPD in LLM Distillation
Anhao Zhao, Haoran Xin, Yingqi Fan, Junlong Tong, Wenjie Li, Xiaoyu Shen
arXiv preprint 2026
This paper presents a unified perspective that decouples prefix sources from token-level KL directions in LLM distillation.
Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation
Junwei Pan, Wei Xue, Chao Zhou, Xing Zhou, Lunan Fan, Yanbo Wang, Haoran Xin, Zhiyu Hu, Yaozheng Wang, Fengye Xu, Yurong Yang, Xiaotian Li, Junbang Huo, Wentao Ning, Yuliang Sun, Chengguo Yin, Jun Zhang, Shudong Huang, Lei Xiao, Huan Yu, Irwin King, Haijie Gu, Jie Jiang
arXiv preprint 2026
This paper introduces the Tencent Advertising Algorithm Challenge 2025 and its large-scale all-modality generative recommendation benchmarks.
Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation
Junwei Pan, Wei Xue, Chao Zhou, Xing Zhou, Lunan Fan, Yanbo Wang, Haoran Xin, Zhiyu Hu, Yaozheng Wang, Fengye Xu, Yurong Yang, Xiaotian Li, Junbang Huo, Wentao Ning, Yuliang Sun, Chengguo Yin, Jun Zhang, Shudong Huang, Lei Xiao, Huan Yu, Irwin King, Haijie Gu, Jie Jiang
arXiv preprint 2026
This paper introduces the Tencent Advertising Algorithm Challenge 2025 and its large-scale all-modality generative recommendation benchmarks.
How Business Agglomeration Affects Individual Points-of-Interest: A Causal Effect Estimation Perspective
Haoran Xin, Xinjiang Lu, Ying Sun, Nengjun Zhu, Tong Xu, Jingbo Zhou, Hui Xiong
ACM Transactions on Knowledge Discovery from Data (TKDD) 2026
This paper applies causal inference techniques to quantify the impact of urban business agglomeration on individual POI performance.
How Business Agglomeration Affects Individual Points-of-Interest: A Causal Effect Estimation Perspective
Haoran Xin, Xinjiang Lu, Ying Sun, Nengjun Zhu, Tong Xu, Jingbo Zhou, Hui Xiong
ACM Transactions on Knowledge Discovery from Data (TKDD) 2026
This paper applies causal inference techniques to quantify the impact of urban business agglomeration on individual POI performance.
2025
LLMCDSR: Enhancing Cross-Domain Sequential Recommendation with Large Language Models
Haoran Xin, Ying Sun, Chao Wang, Hui Xiong
ACM Transactions on Information Systems (TOIS) 2025
This paper presents LLMCDSR, a method that leverages large language models to enhance cross-domain sequential recommendation.
LLMCDSR: Enhancing Cross-Domain Sequential Recommendation with Large Language Models
Haoran Xin, Ying Sun, Chao Wang, Hui Xiong
ACM Transactions on Information Systems (TOIS) 2025
This paper presents LLMCDSR, a method that leverages large language models to enhance cross-domain sequential recommendation.
LLMs as Better Recommenders with Natural Language Collaborative Signals: A Self-Assessing Retrieval Approach
Haoran Xin, Ying Sun, Chao Wang, Weijia Zhang, Hui Xiong
Preprint 2025
This paper proposes a self-assessing retrieval approach that leverages natural language collaborative signals to improve LLM-based recommendation.
LLMs as Better Recommenders with Natural Language Collaborative Signals: A Self-Assessing Retrieval Approach
Haoran Xin, Ying Sun, Chao Wang, Weijia Zhang, Hui Xiong
Preprint 2025
This paper proposes a self-assessing retrieval approach that leverages natural language collaborative signals to improve LLM-based recommendation.
2023
A Table-to-Text Framework with Heterogeneous Multidominance Attention and Self-Evaluated Multi-Pass Deliberation
Xi Chen, Xinjiang Lu, Haoran Xin, Wenjun Peng, Haoyang Duan, Feihu Jiang, Jingbo Zhou, Hui Xiong
Findings of the Association for Computational Linguistics: EMNLP 2023
This paper proposes a table-to-text generation framework with heterogeneous multidominance attention and self-evaluated multi-pass deliberation.
A Table-to-Text Framework with Heterogeneous Multidominance Attention and Self-Evaluated Multi-Pass Deliberation
Xi Chen, Xinjiang Lu, Haoran Xin, Wenjun Peng, Haoyang Duan, Feihu Jiang, Jingbo Zhou, Hui Xiong
Findings of the Association for Computational Linguistics: EMNLP 2023
This paper proposes a table-to-text generation framework with heterogeneous multidominance attention and self-evaluated multi-pass deliberation.
2022
CAPTOR: A Crowd-Aware Pre-Travel Recommender System for Out-of-Town Users
Haoran Xin, Xinjiang Lu, Nengjun Zhu, Tong Xu, Dejing Dou, Hui Xiong
International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) 2022
This paper proposes CAPTOR, a crowd-aware pre-travel recommender system designed for out-of-town users.
CAPTOR: A Crowd-Aware Pre-Travel Recommender System for Out-of-Town Users
Haoran Xin, Xinjiang Lu, Nengjun Zhu, Tong Xu, Dejing Dou, Hui Xiong
International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) 2022
This paper proposes CAPTOR, a crowd-aware pre-travel recommender system designed for out-of-town users.
RLCharge: Imitative Multi-Agent Spatiotemporal Reinforcement Learning for Electric Vehicle Charging Station Recommendation
Weijia Zhang, Hao Liu, Hui Xiong, Tong Xu, Fan Wang, Haoran Xin, Hua Wu
IEEE Transactions on Knowledge and Data Engineering (TKDE) 2022
This paper proposes RLCharge, an imitative multi-agent spatiotemporal reinforcement learning approach for EV charging station recommendation.
RLCharge: Imitative Multi-Agent Spatiotemporal Reinforcement Learning for Electric Vehicle Charging Station Recommendation
Weijia Zhang, Hao Liu, Hui Xiong, Tong Xu, Fan Wang, Haoran Xin, Hua Wu
IEEE Transactions on Knowledge and Data Engineering (TKDE) 2022
This paper proposes RLCharge, an imitative multi-agent spatiotemporal reinforcement learning approach for EV charging station recommendation.
2021
Intelligent Electric Vehicle Charging Recommendation Based on Multi-Agent Reinforcement Learning
Weijia Zhang, Hao Liu, Fan Wang, Tong Xu, Haoran Xin, Dejing Dou, Hui Xiong
The Web Conference (WWW) 2021
This paper proposes an intelligent EV charging recommendation method based on multi-agent reinforcement learning.
Intelligent Electric Vehicle Charging Recommendation Based on Multi-Agent Reinforcement Learning
Weijia Zhang, Hao Liu, Fan Wang, Tong Xu, Haoran Xin, Dejing Dou, Hui Xiong
The Web Conference (WWW) 2021
This paper proposes an intelligent EV charging recommendation method based on multi-agent reinforcement learning.
Out-of-Town Recommendation with Travel Intention Modeling
Haoran Xin, Xinjiang Lu, Tong Xu, Hao Liu, Jingjing Gu, Dejing Dou, Hui Xiong
AAAI Conference on Artificial Intelligence (AAAI) 2021
This paper addresses the challenge of recommending points-of-interest to out-of-town users by modeling travel intentions.
Out-of-Town Recommendation with Travel Intention Modeling
Haoran Xin, Xinjiang Lu, Tong Xu, Hao Liu, Jingjing Gu, Dejing Dou, Hui Xiong
AAAI Conference on Artificial Intelligence (AAAI) 2021
This paper addresses the challenge of recommending points-of-interest to out-of-town users by modeling travel intentions.
2019
Parallel Temporal Encoder for Sign Language Translation
Peipei Song, Dan Guo, Haoran Xin, Meng Wang
IEEE International Conference on Image Processing (ICIP) 2019
This paper proposes a parallel temporal encoder for sign language translation.
Parallel Temporal Encoder for Sign Language Translation
Peipei Song, Dan Guo, Haoran Xin, Meng Wang
IEEE International Conference on Image Processing (ICIP) 2019
This paper proposes a parallel temporal encoder for sign language translation.