Hao Chen

88 papers A* 17A 7B 2Misc 2Journal 52Unranked 8
YearRankTypeTitle / Venue / Authors
2026 A* conf
AliBoostV2: CTR-Growth Balanced Boosting Framework in Billion-Scale Recommendation Platform.
WWW
Qijie Shen, Yuanchen Bei, Zihong Huang, Xixian Wang, Zhibo Xiao, Dimin Wang, Jialin Zhu, Yuning Jiang, Feiran Huang, Hao Chen
2026 J jnl
ErrorLLM: Modeling SQL Errors for Text-to-SQL Refinement.
CoRR
Zijin Hong, Hao Chen, Zheng Yuan, Qinggang Zhang, Luyao Zhuang, Qing Li, Feiran Huang, Yangqiu Song, Xiao Huang
2026 A* conf
LLM Collaborative Filtering: User-Item Graph as New Language.
AAAI
Huachi Zhou, Yujing Zhang, Hao Chen, Qinggang Zhang, Qijie Shen, Feiran Huang, Xiao Huang
2026 — conf
Macro Graph of Experts for Billion-Scale Multi-Task Recommendation.
KDD (1)
Hongyu Yao, Zijin Hong, Hao Chen, Zhiqing Li, Qijie Shen, Zuobin Ying, Qihua Feng, Huan Gong, Feiran Huang
2026 J jnl
Multi-Writer/Reader Forward and Backward Private DSSE With Bilateral Selection.
IEEE Trans. Dependable Secur. Comput.
Jiawen Wu, Kai Zhang, Jianting Ning, Hao Chen, Lefeng Zhang, Zuobin Ying
2026 J jnl
Self-Monitoring Large Language Models for Click-Through Rate Prediction.
ACM Trans. Inf. Syst.
Huachi Zhou, Kaijing Yu, Qinggang Zhang, Hao Chen, Daochen Zha, Wenqi Pei, Anthony Kong, Xiao Huang
2026 J jnl
SimGR: Escaping the Pitfalls of Generative Decoding in LLM-based Recommendation.
CoRR
Yuanbo Zhao, Ruochen Liu, Senzhang Wang, Jun Yin, Yuxin Dong, Huan Gong, Hao Chen, Shirui Pan, Chengqi Zhang
2026 J jnl
The Semantic Lifecycle in Embodied AI: Acquisition, Representation and Storage via Foundation Models.
CoRR
Shuai Chen, Hao Chen, Yuanchen Bei, Tianyang Zhao, Zhibo Zhou, Feiran Huang
2026 A* conf
You Don't Need Pre-Built Graphs for RAG: Retrieval Augmented Generation with Adaptive Reasoning Structures.
AAAI
Shengyuan Chen, Chuang Zhou, Zheng Yuan, Qinggang Zhang, Zeyang Cui, Hao Chen, Yilin Xiao, Jiannong Cao, Xiao Huang
2025 J jnl
A Survey of Graph Retrieval-Augmented Generation for Customized Large Language Models.
CoRR
Qinggang Zhang, Shengyuan Chen, Yuanchen Bei, Zheng Yuan, Huachi Zhou, Zijin Hong, Junnan Dong, Hao Chen, Yi Chang, Xiao Huang
2025 — conf
AliBoost: Ecological Boosting Framework in Alibaba Platform.
KDD (2)
Qijie Shen, Yuanchen Bei, Zihong Huang, Jialin Zhu, Keqin Xu, Boya Du, Jiawei Tang, Yuning Jiang, Feiran Huang, Xiao Huang, Hao Chen
2025 J jnl
AliBoost: Ecological Boosting Framework in Alibaba Platform.
CoRR
Qijie Shen, Yuanchen Bei, Zihong Huang, Jialin Zhu, Keqin Xu, Boya Du, Jiawei Tang, Yuning Jiang, Feiran Huang, Xiao Huang, Hao Chen
2025 J jnl
Behavior Merging Graph Convolution Network for Multi-Behavior Recommendation.
IEEE Trans. Knowl. Data Eng.
Hao Chen, Zhiqing Li, Yuanchen Bei, Kai Xu, Yijie Zhang, Feiran Huang, Yu Yang, Huan Gong, Fakhri Karray
2025 J jnl
CheatAgent: Attacking LLM-Empowered Recommender Systems via LLM Agent.
CoRR
Liang-Bo Ning, Shijie Wang, Wenqi Fan, Qing Li, Xin Xu, Hao Chen, Feiran Huang
2025 J jnl
Cold-Start Recommendation towards the Era of Large Language Models (LLMs): A Comprehensive Survey and Roadmap.
CoRR
Weizhi Zhang, Yuanchen Bei, Liangwei Yang, Henry Peng Zou, Peilin Zhou, Aiwei Liu, Yinghui Li, Hao Chen, Jianling Wang, Yu Wang, Feiran Huang, Sheng Zhou, Jiajun Bu, Allen Lin, James Caverlee, Fakhri Karray, Irwin King, Philip S. Yu
2025 — conf
Correlation-Aware Graph Convolutional Networks for Multi-Label Node Classification.
KDD (1)
Yuanchen Bei, Weizhi Chen, Hao Chen, Sheng Zhou, Carl Ji Yang, Jiapei Fan, Longtao Huang, Jiajun Bu
2025 J jnl
FilterLLM: Text-To-Distribution LLM for Billion-Scale Cold-Start Recommendation.
CoRR
Ruochen Liu, Hao Chen, Yuanchen Bei, Zheyu Zhou, Lijia Chen, Qijie Shen, Feiran Huang, Fakhri Karray, Senzhang Wang
2025 J jnl
Graph Cross-Correlated Network for Recommendation.
IEEE Trans. Knowl. Data Eng.
Hao Chen, Yuanchen Bei, Wenbing Huang, Shengyuan Chen, Feiran Huang, Xiao Huang
2025 J jnl
Graphs Meet AI Agents: Taxonomy, Progress, and Future Opportunities.
CoRR
Yuanchen Bei, Weizhi Zhang, Siwen Wang, Weizhi Chen, Sheng Zhou, Hao Chen, Yong Li, Jiajun Bu, Shirui Pan, Yizhou Yu, Irwin King, Fakhri Karray, Philip S. Yu
2025 J jnl
Hierarchical Instruction-aware Embodied Visual Tracking.
CoRR
Kui Wu, Hao Chen, Churan Wang, Fakhri Karray, Zhoujun Li, Yizhou Wang, Fangwei Zhong
2025 J jnl
Knapsack Optimization-based Schema Linking for LLM-based Text-to-SQL Generation.
CoRR
Zheng Yuan, Hao Chen, Zijin Hong, Qinggang Zhang, Feiran Huang, Xiao Huang
2025 A conf
Large Language Model Simulator for Cold-Start Recommendation.
WSDM
Feiran Huang, Yuanchen Bei, Zhenghang Yang, Junyi Jiang, Hao Chen, Qijie Shen, Senzhang Wang, Fakhri Karray, Philip S. Yu
2025 J jnl
LinearRAG: Linear Graph Retrieval Augmented Generation on Large-scale Corpora.
CoRR
Luyao Zhuang, Shengyuan Chen, Yilin Xiao, Huachi Zhou, Yujing Zhang, Hao Chen, Qinggang Zhang, Xiao Huang
2025 J jnl
Macro Graph of Experts for Billion-Scale Multi-Task Recommendation.
CoRR
Hongyu Yao, Zijin Hong, Hao Chen, Yuanchen Bei, Zhiqing Li, Qijie Shen, Zuobin Ying, Huan Gong, Feiran Huang
2025 J jnl
Next-Generation Database Interfaces: A Survey of LLM-Based Text-to-SQL.
IEEE Trans. Knowl. Data Eng.
Zijin Hong, Zheng Yuan, Qinggang Zhang, Hao Chen, Junnan Dong, Feiran Huang, Xiao Huang
2025 A* conf
Structure-Guided Large Language Models for Text-to-SQL Generation.
ICML
Qinggang Zhang, Hao Chen, Junnan Dong, Shengyuan Chen, Feiran Huang, Xiao Huang
2025 B conf
Text-Attributed Graph Learning with Coupled Augmentations.
COLING
Chuang Zhou, Jiahe Du, Huachi Zhou, Hao Chen, Feiran Huang, Xiao Huang
2025 A conf
VLM Can Be a Good Assistant: Enhancing Embodied Visual Tracking with Self-Improving Vision-Language Models.
IROS
Kui Wu, Shuhang Xu, Hao Chen, Churan Wang, Zhoujun Li, Yizhou Wang, Fangwei Zhong
2025 J jnl
VLM Can Be a Good Assistant: Enhancing Embodied Visual Tracking with Self-Improving Vision-Language Models.
CoRR
Kui Wu, Shuhang Xu, Hao Chen, Churan Wang, Zhoujun Li, Yizhou Wang, Fangwei Zhong
2025 J jnl
You Don't Need Pre-built Graphs for RAG: Retrieval Augmented Generation with Adaptive Reasoning Structures.
CoRR
Shengyuan Chen, Chuang Zhou, Zheng Yuan, Qinggang Zhang, Zeyang Cui, Hao Chen, Yilin Xiao, Jiannong Cao, Xiao Huang
2024 A* conf
CheatAgent: Attacking LLM-Empowered Recommender Systems via LLM Agent.
KDD
Liang-Bo Ning, Shijie Wang, Wenqi Fan, Qing Li, Xin Xu, Hao Chen, Feiran Huang
2024 J jnl
Collaborative Graph Neural Networks for Attributed Network Embedding.
IEEE Trans. Knowl. Data Eng.
Qiaoyu Tan, Xin Zhang, Xiao Huang, Hao Chen, Jundong Li, Xia Hu
2024 J jnl
Correlation-Aware Graph Convolutional Networks for Multi-Label Node Classification.
CoRR
Yuanchen Bei, Weizhi Chen, Hao Chen, Sheng Zhou, Carl Yang, Jiapei Fan, Longtao Huang, Jiajun Bu
2024 A* conf
Cost-efficient Knowledge-based Question Answering with Large Language Models.
NeurIPS
Junnan Dong, Qinggang Zhang, Chuang Zhou, Hao Chen, Daochen Zha, Xiao Huang
2024 J jnl
Cost-efficient Knowledge-based Question Answering with Large Language Models.
CoRR
Junnan Dong, Qinggang Zhang, Chuang Zhou, Hao Chen, Daochen Zha, Xiao Huang
2024 — conf
Empowering Embodied Visual Tracking with Visual Foundation Models and Offline RL.
ECCV (73)
Fangwei Zhong, Kui Wu, Hai Ci, Churan Wang, Hao Chen
2024 J jnl
Empowering Embodied Visual Tracking with Visual Foundation Models and Offline RL.
CoRR
Fangwei Zhong, Kui Wu, Hai Ci, Churan Wang, Hao Chen
2024 — conf
Enhancing Explainable Rating Prediction through Annotated Macro Concepts.
ACL (1)
Huachi Zhou, Shuang Zhou, Hao Chen, Ninghao Liu, Fan Yang, Xiao Huang
2024 A conf
Feedback Reciprocal Graph Collaborative Filtering.
CIKM
Weijun Chen, Yuanchen Bei, Qijie Shen, Hao Chen, Xiao Huang, Feiran Huang
2024 J jnl
Feedback Reciprocal Graph Collaborative Filtering.
CoRR
Weijun Chen, Yuanchen Bei, Qijie Shen, Hao Chen, Xiao Huang, Feiran Huang
2024 J jnl
Graph Cross-Correlated Network for Recommendation.
CoRR
Hao Chen, Yuanchen Bei, Wenbing Huang, Shengyuan Chen, Feiran Huang, Xiao Huang
2024 Misc conf
Graph Neural Patching for Cold-Start Recommendations.
ADC
Hao Chen, Yu Yang, Yuanchen Bei, Zefan Wang, Yue Xu, Feiran Huang
2024 J jnl
Graph Neural Patching for Cold-Start Recommendations.
CoRR
Hao Chen, Yu Yang, Yuanchen Bei, Zefan Wang, Yue Xu, Feiran Huang
2024 A* conf
KnowGPT: Knowledge Graph based Prompting for Large Language Models.
NeurIPS
Qinggang Zhang, Junnan Dong, Hao Chen, Daochen Zha, Zailiang Yu, Xiao Huang
2024 — conf
Knowledge-to-SQL: Enhancing SQL Generation with Data Expert LLM.
ACL (Findings)
Zijin Hong, Zheng Yuan, Hao Chen, Qinggang Zhang, Feiran Huang, Xiao Huang
2024 J jnl
Knowledge-to-SQL: Enhancing SQL Generation with Data Expert LLM.
CoRR
Zijin Hong, Zheng Yuan, Hao Chen, Qinggang Zhang, Feiran Huang, Xiao Huang
2024 J jnl
Large Language Model Interaction Simulator for Cold-Start Item Recommendation.
CoRR
Feiran Huang, Zhenghang Yang, Junyi Jiang, Yuanchen Bei, Yijie Zhang, Hao Chen
2024 A* conf
Macro Graph Neural Networks for Online Billion-Scale Recommender Systems.
WWW
Hao Chen, Yuanchen Bei, Qijie Shen, Yue Xu, Sheng Zhou, Wenbing Huang, Feiran Huang, Senzhang Wang, Xiao Huang
2024 J jnl
Macro Graph Neural Networks for Online Billion-Scale Recommender Systems.
CoRR
Hao Chen, Yuanchen Bei, Qijie Shen, Yue Xu, Sheng Zhou, Wenbing Huang, Feiran Huang, Senzhang Wang, Xiao Huang
2024 A* conf
Multi-Behavior Collaborative Filtering with Partial Order Graph Convolutional Networks.
KDD
Yijie Zhang, Yuanchen Bei, Hao Chen, Qijie Shen, Zheng Yuan, Huan Gong, Senzhang Wang, Feiran Huang, Xiao Huang
2024 J jnl
Multi-Behavior Collaborative Filtering with Partial Order Graph Convolutional Networks.
CoRR
Yijie Zhang, Yuanchen Bei, Hao Chen, Qijie Shen, Zheng Yuan, Huan Gong, Senzhang Wang, Feiran Huang, Xiao Huang
2024 J jnl
Next-Generation Database Interfaces: A Survey of LLM-based Text-to-SQL.
CoRR
Zijin Hong, Zheng Yuan, Qinggang Zhang, Hao Chen, Junnan Dong, Feiran Huang, Xiao Huang
2024 A* conf
Score-CDM: Score-Weighted Convolutional Diffusion Model for Multivariate Time Series Imputation.
IJCAI
Shunyang Zhang, Senzhang Wang, Hao Miao, Hao Chen, Changjun Fan, Jian Zhang
2024 J jnl
Score-CDM: Score-Weighted Convolutional Diffusion Model for Multivariate Time Series Imputation.
CoRR
Shunyang Zhang, Senzhang Wang, Hao Miao, Hao Chen, Changjun Fan, Jian Zhang
2024 J jnl
Structure Guided Large Language Model for SQL Generation.
CoRR
Qinggang Zhang, Junnan Dong, Hao Chen, Wentao Li, Feiran Huang, Xiao Huang
2024 J jnl
UnrealZoo: Enriching Photo-realistic Virtual Worlds for Embodied AI.
CoRR
Fangwei Zhong, Kui Wu, Churan Wang, Hao Chen, Hai Ci, Zhoujun Li, Yizhou Wang
2023 A* conf
Adaptive Popularity Debiasing Aggregator for Graph Collaborative Filtering.
SIGIR
Huachi Zhou, Hao Chen, Junnan Dong, Daochen Zha, Chuang Zhou, Xiao Huang
2023 A* conf
Aligning Distillation For Cold-start Item Recommendation.
SIGIR
Feiran Huang, Zefan Wang, Xiao Huang, Yufeng Qian, Zhetao Li, Hao Chen
2023 — conf
Alleviating Behavior Data Imbalance for Multi-Behavior Graph Collaborative Filtering.
ICDM (Workshops)
Yijie Zhang, Yuanchen Bei, Shiqi Yang, Hao Chen, Zhiqing Li, Lijia Chen, Feiran Huang
2023 J jnl
Alleviating Behavior Data Imbalance for Multi-Behavior Graph Collaborative Filtering.
CoRR
Yijie Zhang, Yuanchen Bei, Shiqi Yang, Hao Chen, Zhiqing Li, Lijia Chen, Feiran Huang
2023 J jnl
Collaborative Graph Neural Networks for Attributed Network Embedding.
CoRR
Qiaoyu Tan, Xin Zhang, Xiao Huang, Hao Chen, Jundong Li, Xia Hu
2023 J jnl
KnowGPT: Black-Box Knowledge Injection for Large Language Models.
CoRR
Qinggang Zhang, Junnan Dong, Hao Chen, Xiao Huang, Daochen Zha, Zailiang Yu
2023 A* conf
Multi-channel Integrated Recommendation with Exposure Constraints.
KDD
Yue Xu, Qijie Shen, Jianwen Yin, Zengde Deng, Dimin Wang, Hao Chen, Lixiang Lai, Tao Zhuang, Junfeng Ge
2023 J jnl
Multi-channel Integrated Recommendation with Exposure Constraints.
CoRR
Yue Xu, Qijie Shen, Jianwen Yin, Zengde Deng, Dimin Wang, Hao Chen, Lixiang Lai, Tao Zhuang, Junfeng Ge
2023 A* conf
Multi-factor Sequential Re-ranking with Perception-Aware Diversification.
KDD
Yue Xu, Hao Chen, Zefan Wang, Jianwen Yin, Qijie Shen, Dimin Wang, Feiran Huang, Lixiang Lai, Tao Zhuang, Junfeng Ge, Xia Hu
2023 J jnl
Multi-factor Sequential Re-ranking with Perception-Aware Diversification.
CoRR
Yue Xu, Hao Chen, Zefan Wang, Jianwen Yin, Qijie Shen, Dimin Wang, Feiran Huang, Lixiang Lai, Tao Zhuang, Junfeng Ge, Xia Hu
2023 A conf
Non-Recursive Cluster-Scale Graph Interacted Model for Click-Through Rate Prediction.
CIKM
Yuanchen Bei, Hao Chen, Shengyuan Chen, Xiao Huang, Sheng Zhou, Feiran Huang
2023 A* conf
Planning Assembly Sequence with Graph Transformer.
ICRA
Lin Ma, Jiangtao Gong, Hao Xu, Hao Chen, Hao Zhao, Wenbing Huang, Guyue Zhou
2023 A* conf
Reinforcement Neighborhood Selection for Unsupervised Graph Anomaly Detection.
ICDM
Yuanchen Bei, Sheng Zhou, Qiaoyu Tan, Hao Xu, Hao Chen, Zhao Li, Jiajun Bu
2023 J jnl
Reinforcement Neighborhood Selection for Unsupervised Graph Anomaly Detection.
CoRR
Yuanchen Bei, Sheng Zhou, Qiaoyu Tan, Hao Xu, Hao Chen, Zhao Li, Jiajun Bu
2022 J jnl
Flattened Graph Convolutional Networks For Recommendation.
CoRR
Yue Xu, Hao Chen, Zengde Deng, Yuanchen Bei, Feiran Huang
2022 J jnl
GPatch: Patching Graph Neural Networks for Cold-Start Recommendations.
CoRR
Hao Chen, Zefan Wang, Yue Xu, Xiao Huang, Feiran Huang
2022 A* conf
Generative Adversarial Framework for Cold-Start Item Recommendation.
SIGIR
Hao Chen, Zefan Wang, Feiran Huang, Xiao Huang, Yue Xu, Yishi Lin, Peng He, Zhoujun Li
2022 J jnl
Neighbor Enhanced Graph Convolutional Networks for Node Classification and Recommendation.
CoRR
Hao Chen, Zhong Huang, Yue Xu, Zengde Deng, Feiran Huang, Peng He, Zhoujun Li
2022 J jnl
Neighbor enhanced graph convolutional networks for node classification and recommendation.
Knowl. Based Syst.
Hao Chen, Zhong Huang, Yue Xu, Zengde Deng, Feiran Huang, Peng He, Zhoujun Li
2022 J jnl
Planning Assembly Sequence with Graph Transformer.
CoRR
Lin Ma, Jiangtao Gong, Hao Xu, Hao Chen, Hao Zhao, Wenbing Huang, Guyue Zhou
2021 J jnl
Deep Attentive Multimodal Network Representation Learning for Social Media Images.
ACM Trans. Internet Techn.
Feiran Huang, Chaozhuo Li, Boyu Gao, Yun Liu, Sattam Alotaibi, Hao Chen
2021 Misc conf
Non-Recursive Graph Convolutional Networks.
ICASSP
Hao Chen, Zengde Deng, Yue Xu, Zhoujun Li
2021 J jnl
Non-Recursive Graph Convolutional Networks.
CoRR
Hao Chen, Zengde Deng, Yue Xu, Zhoujun Li
2020 A conf
Graph Unfolding Networks.
CIKM
Hao Chen, Wenbing Huang, Yue Xu, Fuchun Sun, Zhoujun Li
2020 A conf
Label-Aware Graph Convolutional Networks.
CIKM
Hao Chen, Yue Xu, Feiran Huang, Zengde Deng, Wenbing Huang, Senzhang Wang, Peng He, Zhoujun Li
2020 J jnl
Locally Balanced Inductive Matrix Completion for Demand-Supply Inference in Stationless Bike-Sharing Systems.
IEEE Trans. Knowl. Data Eng.
Senzhang Wang, Hao Chen, Jiannong Cao, Jiawei Zhang, Philip S. Yu
2020 A conf
Multi-task Adversarial Spatial-Temporal Networks for Crowd Flow Prediction.
CIKM
Senzhang Wang, Hao Miao, Hao Chen, Zhiqiu Huang
2020 J jnl
SeqST-GAN: Seq2Seq Generative Adversarial Nets for Multi-step Urban Crowd Flow Prediction.
ACM Trans. Spatial Algorithms Syst.
Senzhang Wang, Jiannong Cao, Hao Chen, Hao Peng, Zhiqiu Huang
2020 J jnl
Single-Layer Graph Convolutional Networks For Recommendation.
CoRR
Yue Xu, Hao Chen, Zengde Deng, Junxiong Zhu, Yanghua Li, Peng He, Wenyao Gao, Wenjun Xu
2019 — conf
FGST: Fine-Grained Spatial-Temporal Based Regression for Stationless Bike Traffic Prediction.
PAKDD (1)
Hao Chen, Senzhang Wang, Zengde Deng, Xiaoming Zhang, Zhoujun Li
2019 J jnl
Label Aware Graph Convolutional Network - Not All Edges Deserve Your Attention.
CoRR
Hao Chen, Lu Wang, Senzhang Wang, Dijun Luo, Wenbing Huang, Zhoujun Li
2018 B conf
Unrest News Amount Prediction with Context-Aware Attention LSTM.
PRICAI
Xiuling Wang, Hao Chen, Zhoujun Li, Zhonghua Zhao