Hao Qian

16 papers A* 1A 6Journal 7Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Dynamic graph representation learning with disentangled information bottleneck.
Neural Networks
Jihong Wang, Yuxin Bai, Chunqiang Zhu, Hao Qian, Ziqi Liu, Minnan Luo
2025 J jnl
Enhancing LLM Tool Use with High-quality Instruction Data from Knowledge Graph.
CoRR
Jingwei Wang, Zai Zhang, Hao Qian, Chunjing Gan, Binbin Hu, Ziqi Liu, Zhiqiang Zhang, Jun Zhou, Bin Shi, Bo Dong
2024 A conf
Breaking the Barrier: Utilizing Large Language Models for Industrial Recommendation Systems through an Inferential Knowledge Graph.
CIKM
Qian Zhao, Hao Qian, Ziqi Liu, Gong-Duo Zhang, Lihong Gu
2024 J jnl
Breaking the Barrier: Utilizing Large Language Models for Industrial Recommendation Systems through an Inferential Knowledge Graph.
CoRR
Qian Zhao, Hao Qian, Ziqi Liu, Gong-Duo Zhang, Lihong Gu
2024 A conf
Factor Model-Based Large Covariance Estimation from Streaming Data Using a Knowledge-Based Sketch Matrix.
CIKM
Xiao Tan, Zhaoyang Wang, Hao Qian, Jun Zhou, Peibo Duan, Dian Shen, Meng Wang, Beilun Wang
2024 — conf
Knowledge-augmented Financial Market Analysis and Report Generation.
EMNLP (Industry Track)
Yuemin Chen, Feifan Wu, Jingwei Wang, Hao Qian, Ziqi Liu, Zhiqiang Zhang, Jun Zhou, Meng Wang
2024 A* conf
MDGNN: Multi-Relational Dynamic Graph Neural Network for Comprehensive and Dynamic Stock Investment Prediction.
AAAI
Hao Qian, Hongting Zhou, Qian Zhao, Hao Chen, Hongxiang Yao, Jingwei Wang, Ziqi Liu, Fei Yu, Zhiqiang Zhang, Jun Zhou
2024 J jnl
MDGNN: Multi-Relational Dynamic Graph Neural Network for Comprehensive and Dynamic Stock Investment Prediction.
CoRR
Hao Qian, Hongting Zhou, Qian Zhao, Hao Chen, Hongxiang Yao, Jingwei Wang, Ziqi Liu, Fei Yu, Zhiqiang Zhang, Jun Zhou
2023 J jnl
EATN: An Efficient Adaptive Transfer Network for Aspect-Level Sentiment Analysis.
IEEE Trans. Knowl. Data Eng.
Kai Zhang, Qi Liu, Hao Qian, Biao Xiang, Qing Cui, Jun Zhou, Enhong Chen
2022 A conf
FwSeqBlock: A Field-wise Approach for Modeling Behavior Representation in Sequential Recommendation.
CIKM
Hao Qian, Qintong Wu, Minghao Li, Zhengwei Wu, Zhiqiang Zhang, Jun Zhou, Lihong Gu, Jinjie Gu
2022 A conf
Scope-aware Re-ranking with Gated Attention in Feed.
WSDM
Hao Qian, Qintong Wu, Kai Zhang, Zhiqiang Zhang, Lihong Gu, Xiaodong Zeng, Jun Zhou, Jinjie Gu
2021 A conf
Multi-Interactive Attention Network for Fine-grained Feature Learning in CTR Prediction.
WSDM
Kai Zhang, Hao Qian, Qing Cui, Qi Liu, Longfei Li, Jun Zhou, Jianhui Ma, Enhong Chen
2021 A conf
SIFN: A Sentiment-aware Interactive Fusion Network for Review-based Item Recommendation.
CIKM
Kai Zhang, Hao Qian, Qi Liu, Zhiqiang Zhang, Jun Zhou, Jianhui Ma, Enhong Chen
2021 J jnl
SIFN: A Sentiment-aware Interactive Fusion Network for Review-based Item Recommendation.
CoRR
Kai Zhang, Hao Qian, Qi Liu, Zhiqiang Zhang, Jun Zhou, Jianhui Ma, Enhong Chen
2020 — conf
AutoRec: A Comprehensive Platform for Building Effective and Explainable Recommender Models.
ECML/PKDD (5)
Qing Cui, Qitao Shi, Hao Qian, Caizhi Tang, Xixi Li, Yiming Zhao, Tao Jiang, Longfei Li, Jun Zhou
2020 J jnl
Multi-Interactive Attention Network for Fine-grained Feature Learning in CTR Prediction.
CoRR
Kai Zhang, Hao Qian, Qing Cui, Qi Liu, Longfei Li, Jun Zhou, Jianhui Ma, Enhong Chen