Feiran Huang
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
42
Venues
20
Active years
2015–2026
Best venue rank
A*
Where they publish
Papers
42 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Benchmarking LLMs' Mathematical Reasoning with Unseen Random Variables Questions. | Zijin Hong, Hao Wu, Su Dong, Junnan Dong, Yilin Xiao, Yujing Zhang, Zhu Wang, Feiran Huang, Linyi Li, Hongxia Yang, Xiao Huang |
| 2026 | AAAI | LLM Collaborative Filtering: User-Item Graph as New Language. | Huachi Zhou, Yujing Zhang, Hao Chen, Qinggang Zhang, Qijie Shen, Feiran Huang, Xiao Huang |
| 2026 | ICDE | Knapsack Optimization-Based Schema Linking for LLM-Based Text-to-SQL Generation. | Zheng Yuan, Hao Chen, Zijin Hong, Qinggang Zhang, Feiran Huang, Qing Li, Xiao Huang |
| 2026 | KDD | Macro Graph of Experts for Billion-Scale Multi-Task Recommendation. | Hongyu Yao, Zijin Hong, Hao Chen, Zhiqing Li, Qijie Shen, Zuobin Ying, Qihua Feng, Huan Gong, Feiran Huang |
| 2026 | KSEM | Less is More: Efficient Multilingual Intent Routing via Truncation-Based Alignment. | Jiameng Qiu, Zicong Chen, Yongdong Wu, Feiran Huang |
| 2026 | WWW | AliBoostV2: CTR-Growth Balanced Boosting Framework in Billion-Scale Recommendation Platform. | Qijie Shen, Yuanchen Bei, Zihong Huang, Xixian Wang, Zhibo Xiao, Dimin Wang, Jialin Zhu, Yuning Jiang, Feiran Huang, Hao Chen |
| 2025 | COLING | Text-Attributed Graph Learning with Coupled Augmentations. | Chuang Zhou, Jiahe Du, Huachi Zhou, Hao Chen, Feiran Huang, Xiao Huang |
| 2025 | ICML | Structure-Guided Large Language Models for Text-to-SQL Generation. | Qinggang Zhang, Hao Chen, Junnan Dong, Shengyuan Chen, Feiran Huang, Xiao Huang |
| 2025 | KDD | AliBoost: Ecological Boosting Framework in Alibaba Platform. | Qijie Shen, Yuanchen Bei, Zihong Huang, Jialin Zhu, Keqin Xu, Boya Du, Jiawei Tang, Yuning Jiang, Feiran Huang, Xiao Huang, Hao Chen |
| 2025 | WSDM | Large Language Model Simulator for Cold-Start Recommendation. | Feiran Huang, Yuanchen Bei, Zhenghang Yang, Junyi Jiang, Hao Chen, Qijie Shen, Senzhang Wang, Fakhri Karray, Philip S. Yu |
| 2024 | AAAI | Reinforced Adaptive Knowledge Learning for Multimodal Fake News Detection. | Litian Zhang, Xiaoming Zhang, Ziyi Zhou, Feiran Huang, Chaozhuo Li |
| 2024 | ACL | Knowledge-to-SQL: Enhancing SQL Generation with Data Expert LLM. | Zijin Hong, Zheng Yuan, Hao Chen, Qinggang Zhang, Feiran Huang, Xiao Huang |
| 2024 | ACL | Evidence Retrieval is almost All You Need for Fact Verification. | Liwen Zheng, Chaozhuo Li, Xi Zhang, Yuming Shang, Feiran Huang, Haoran Jia |
| 2024 | ADC | Graph Neural Patching for Cold-Start Recommendations. | Hao Chen, Yu Yang, Yuanchen Bei, Zefan Wang, Yue Xu, Feiran Huang |
| 2024 | CIKM | Feedback Reciprocal Graph Collaborative Filtering. | Weijun Chen, Yuanchen Bei, Qijie Shen, Hao Chen, Xiao Huang, Feiran Huang |
| 2024 | ITiCSE | Can Small Language Models With Retrieval-Augmented Generation Replace Large Language Models When Learning Computer Science? | Suqing Liu, Zezhu Yu, Feiran Huang, Yousef Bulbulia, Andreas Bergen, Michael Liut |
| 2024 | KDD | CheatAgent: Attacking LLM-Empowered Recommender Systems via LLM Agent. | Liang-Bo Ning, Shijie Wang, Wenqi Fan, Qing Li, Xin Xu, Hao Chen, Feiran Huang |
| 2024 | KDD | Multi-Behavior Collaborative Filtering with Partial Order Graph Convolutional Networks. | Yijie Zhang, Yuanchen Bei, Hao Chen, Qijie Shen, Zheng Yuan, Huan Gong, Senzhang Wang, Feiran Huang, Xiao Huang |
| 2024 | PRICAI | Context-Aware Structural Adaptive Graph Neural Networks. | Jiakun Chen, Jie Xu, Jiahui Hu, LiQiang Qiao, Shuo Wang, Feiran Huang, Chaozhuo Li |
| 2024 | PRICAI | Detaching Range from Depth: Personalized Recommendation Meets Personalized PageRank. | Jiahui Hu, Jie Xu, Jiakun Chen, LiQiang Qiao, Jilu Wang, Feiran Huang, Chaozhuo Li |
| 2024 | WWW | Macro Graph Neural Networks for Online Billion-Scale Recommender Systems. | Hao Chen, Yuanchen Bei, Qijie Shen, Yue Xu, Sheng Zhou, Wenbing Huang, Feiran Huang, Senzhang Wang, Xiao Huang |
| 2024 | WWW | High-Frequency-aware Hierarchical Contrastive Selective Coding for Representation Learning on Text Attributed Graphs. | Peiyan Zhang, Chaozhuo Li, Liying Kang, Feiran Huang, Senzhang Wang, Xing Xie, Sunghun Kim |
| 2024 | SIGIR | TransGNN: Harnessing the Collaborative Power of Transformers and Graph Neural Networks for Recommender Systems. | Peiyan Zhang, Yuchen Yan, Xi Zhang, Chaozhuo Li, Senzhang Wang, Feiran Huang, Sunghun Kim |
| 2024 | SIGIR | GPT4Rec: Graph Prompt Tuning for Streaming Recommendation. | Peiyan Zhang, Yuchen Yan, Xi Zhang, Liying Kang, Chaozhuo Li, Feiran Huang, Senzhang Wang, Sunghun Kim |
| 2023 | CIKM | Non-Recursive Cluster-Scale Graph Interacted Model for Click-Through Rate Prediction. | Yuanchen Bei, Hao Chen, Shengyuan Chen, Xiao Huang, Sheng Zhou, Feiran Huang |
| 2023 | ICDM | Alleviating Behavior Data Imbalance for Multi-Behavior Graph Collaborative Filtering. | Yijie Zhang, Yuanchen Bei, Shiqi Yang, Hao Chen, Zhiqing Li, Lijia Chen, Feiran Huang |
| 2023 | KDD | Multi-factor Sequential Re-ranking with Perception-Aware Diversification. | Yue Xu, Hao Chen, Zefan Wang, Jianwen Yin, Qijie Shen, Dimin Wang, Feiran Huang, Lixiang Lai, Tao Zhuang, Junfeng Ge, Xia Hu |
| 2023 | PAKDD | Generative Sentiment Transfer via Adaptive Masking. | Yingze Xie, Jie Xu, LiQiang Qiao, Yun Liu, Feiran Huang, Chaozhuo Li |
| 2023 | SIGIR | Aligning Distillation For Cold-start Item Recommendation. | Feiran Huang, Zefan Wang, Xiao Huang, Yufeng Qian, Zhetao Li, Hao Chen |
| 2023 | SIGIR | Beyond the Overlapping Users: Cross-Domain Recommendation via Adaptive Anchor Link Learning. | Yi Zhao, Chaozhuo Li, Jiquan Peng, Xiaohan Fang, Feiran Huang, Senzhang Wang, Xing Xie, Jibing Gong |
| 2023 | WISE | Improving Conversational Recommender Systems via Knowledge-Enhanced Temporal Embedding. | Chen Ji, Jilu Wang, Jie Xu, Wenxiao Liu, Zihong Yang, Feiran Huang, Chaozhuo Li |
| 2022 | AIED | BERT-POS: Sentiment Analysis of MOOC Reviews Based on BERT with Part-of-Speech Information. | Wenxiao Liu, Shuyuan Lin, Boyu Gao, Kai Huang, Weilin Liu, Zhongcai Huang, Junjie Feng, Xinhong Chen, Feiran Huang |
| 2022 | SIGIR | Generative Adversarial Framework for Cold-Start Item Recommendation. | Hao Chen, Zefan Wang, Feiran Huang, Xiao Huang, Yue Xu, Yishi Lin, Peng He, Zhoujun Li |
| 2021 | CIKM | Hubness-aware User Identity Linkage. | Chaozhuo Li, Senzhang Wang, Feiran Huang, Jie Xu, Philip S. Yu |
| 2021 | KSEM | Incorporating Global Context into Multi-task Learning for Session-Based Recommendation. | Nan Qiu, Boyu Gao, Feiran Huang, Huawei Tu, Weiqi Luo |
| 2020 | CIKM | Label-Aware Graph Convolutional Networks. | Hao Chen, Yue Xu, Feiran Huang, Zengde Deng, Wenbing Huang, Senzhang Wang, Peng He, Zhoujun Li |
| 2019 | CIKM | Multi-Hot Compact Network Embedding. | Chaozhuo Li, Lei Zheng, Senzhang Wang, Feiran Huang, Philip S. Yu, Zhoujun Li |
| 2018 | CIKM | Adversarial Learning of Answer-Related Representation for Visual Question Answering. | Yun Liu, Xiaoming Zhang, Feiran Huang, Zhoujun Li |
| 2018 | ER | An In-Depth Benchmarking Study on Bill of Materials for High-End Manufacturing. | Yurui Wang, Shanlei Mu, Feiran Huang, Wei Lu, Yueguo Chen |
| 2017 | WISE | DTRP: A Flexible Deep Framework for Travel Route Planning. | Jie Xu, Chaozhuo Li, Senzhang Wang, Feiran Huang, Zhoujun Li, Yueying He, Zhonghua Zhao |
| 2016 | APWEB | Temporal Spatial-Keyword Search on Databases Using SQL. | Jingru Wang, Jiajia Hou, Feiran Huang, Wei Lu, Xiaoyong Du |
| 2015 | ICDE | PandaSearch: A fine-grained academic search engine for research documents. | Feiran Huang, Jia Li, Jiaheng Lu, Tok Wang Ling, Zhaoan Dong |