Chuhan Wu

ORCID

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 170

Top Venues

Publications

Yuxin Jiang, Yufei Wang, Chuhan Wu, Wanjun Zhong, Xingshan Zeng, Jiahui Gao, Liangyou Li, Xin Jiang, Lifeng Shang, Ruiming Tang, Qun Liu, Wei Wang
Learning to Edit: Aligning LLMs with Knowledge Editing. CoRR (2024)
Yuxin Jiang, Yufei Wang, Chuhan Wu, Wanjun Zhong, Xingshan Zeng, Jiahui Gao, Liangyou Li, Xin Jiang, Lifeng Shang, Ruiming Tang, Qun Liu, Wei Wang
Learning to Edit: Aligning LLMs with Knowledge Editing. ACL (1) (2024)
Zhihan Zhang, Chuhan Wu, Hongyi Chen, Hongyang Chen
CogAware: Cognition-Aware framework for sentiment analysis with textual representations. Knowl. Based Syst. 299 (2024)
Wenlin Zhang, Chuhan Wu, Xiangyang Li, Yuhao Wang, Kuicai Dong, Yichao Wang, Xinyi Dai, Xiangyu Zhao, Huifeng Guo, Ruiming Tang
Tired of Plugins? Large Language Models Can Be End-To-End Recommenders. CoRR (2024)
Jieming Zhu, Xin Zhou, Chuhan Wu, Rui Zhang, Zhenhua Dong
Multimodal Pretraining and Generation for Recommendation: A Tutorial. WWW (Companion Volume) (2024)
Yunjia Xi, Weiwen Liu, Jianghao Lin, Chuhan Wu, Bo Chen, Ruiming Tang, Weinan Zhang, Yong Yu
Play to Your Strengths: Collaborative Intelligence of Conventional Recommender Models and Large Language Models. CoRR (2024)
Kaiyi Pang, Tao Qi, Chuhan Wu, Minhao Bai
Adaptive and robust watermark against model extraction attack. CoRR (2024)
Peijie Sun, Yifan Wang, Min Zhang, Chuhan Wu, Yan Fang, Hong Zhu, Yuan Fang, Meng Wang
Collaborative-Enhanced Prediction of Spending on Newly Downloaded Mobile Games under Consumption Uncertainty. WWW (Companion Volume) (2024)
Mingjia Yin, Chuhan Wu, Yufei Wang, Hao Wang, Wei Guo, Yasheng Wang, Yong Liu, Ruiming Tang, Defu Lian, Enhong Chen
Entropy Law: The Story Behind Data Compression and LLM Performance. CoRR (2024)
Zhaocheng Du, Junhao Chen, Qinglin Jia, Chuhan Wu, Jieming Zhu, Zhenhua Dong, Ruiming Tang
LightCS: Selecting Quadratic Feature Crosses in Linear Complexity. WWW (Companion Volume) (2024)
Peijie Sun, Yifan Wang, Min Zhang, Chuhan Wu, Yan Fang, Hong Zhu, Yuan Fang, Meng Wang
Collaborative-Enhanced Prediction of Spending on Newly Downloaded Mobile Games under Consumption Uncertainty. CoRR (2024)
Yuang Zhao, Chuhan Wu, Qinglin Jia, Hong Zhu, Jia Yan, Libin Zong, Linxuan Zhang, Zhenhua Dong, Muyu Zhang
Confidence-Aware Multi-Field Model Calibration. CoRR (2024)
Jieming Zhu, Chuhan Wu, Rui Zhang, Zhenhua Dong
Multimodal Pretraining and Generation for Recommendation: A Tutorial. CoRR (2024)
Bo Chen, Xinyi Dai, Huifeng Guo, Wei Guo, Weiwen Liu, Yong Liu, Jiarui Qin, Ruiming Tang, Yichao Wang, Chuhan Wu, Yaxiong Wu, Hao Zhang
All Roads Lead to Rome: Unveiling the Trajectory of Recommender Systems Across the LLM Era. CoRR (2024)
Kexin Jiang, Chuhan Wu, Yaoran Chen
Revisiting the Efficacy of Signal Decomposition in AI-based Time Series Prediction. CoRR (2024)
Xiaofan Liu, Qinglin Jia, Chuhan Wu, Jingjie Li, Quanyu Dai, Lin Bo, Rui Zhang, Ruiming Tang
Task Adaptive Multi-learner Network for Joint CTR and CVR Estimation. WWW (Companion Volume) (2023)
Zhengxuan Zhang, Weixing Mai, Haoliang Xiong, Chuhan Wu, Yun Xue
A Token-wise Graph-based Framework for Multimodal Named Entity Recognition. ICME (2023)
Sungwon Han, SeungEon Lee, Fangzhao Wu, Sundong Kim, Chuhan Wu, Xiting Wang, Xing Xie, Meeyoung Cha
DualFair: Fair Representation Learning at Both Group and Individual Levels via Contrastive Self-supervision. CoRR (2023)
Zichuan Fu, Xiangyang Li, Chuhan Wu, Yichao Wang, Kuicai Dong, Xiangyu Zhao, Mengchen Zhao, Huifeng Guo, Ruiming Tang
A Unified Framework for Multi-Domain CTR Prediction via Large Language Models. CoRR (2023)
Sungwon Han, SeungEon Lee, Fangzhao Wu, Sundong Kim, Chuhan Wu, Xiting Wang, Xing Xie, Meeyoung Cha
DualFair: Fair Representation Learning at Both Group and Individual Levels via Contrastive Self-supervision. WWW (2023)
Yubo Chen, Chuhan Wu, Tao Qi, Zhigang Yuan, Yuesong Zhang, Shuai Yang, Jian Guan, Donghong Sun, Yongfeng Huang
Semi-supervised named entity recognition in multi-level contexts. Neurocomputing 520 (2023)
Chuhan Wu, Jingjie Li, Qinglin Jia, Hong Zhu, Yuan Fang, Ruiming Tang
Contrastive Multi-view Framework for Customer Lifetime Value Prediction. CoRR (2023)
Ke Ping, Shuxiao Li, Chuhan Wu, Zhenwen Ren
Architecture Alternative Deep Multi-View Clustering. IEEE Signal Process. Lett. 30 (2023)
Chuhan Wu, Qinglin Jia, Zhenhua Dong, Ruiming Tang
Customer Lifetime Value Prediction: Towards the Paradigm Shift of Recommender System Objectives. RecSys (2023)
Chuhan Wu, Fangzhao Wu, Yongfeng Huang, Xing Xie
Personalized News Recommendation: Methods and Challenges. ACM Trans. Inf. Syst. 41 (1) (2023)
Haoliang Xiong, Zehao Yan, Chuhan Wu, Guojun Lu, Shiguan Pang, Yun Xue, Qianhua Cai
BART-based contrastive and retrospective network for aspect-category-opinion-sentiment quadruple extraction. Int. J. Mach. Learn. Cybern. 14 (9) (2023)
Tao Qi, Fangzhao Wu, Chuhan Wu, Peijie Sun, Le Wu, Xiting Wang, Yongfeng Huang, Xing Xie
ProFairRec: Provider Fairness-aware News Recommendation. SIGIR (2022)
Tao Qi, Fangzhao Wu, Chuhan Wu, Yongfeng Huang
News Recommendation with Candidate-aware User Modeling. SIGIR (2022)
Chuhan Wu, Fangzhao Wu, Tao Qi, Yanlin Wang, Yuqing Yang, Yongfeng Huang, Xing Xie
Game of Privacy: Towards Better Federated Platform Collaboration under Privacy Restriction. CoRR (2022)
Chuhan Wu, Fangzhao Wu, Lingjuan Lyu, Yongfeng Huang, Xing Xie
FedCTR: Federated Native Ad CTR Prediction with Cross-platform User Behavior Data. ACM Trans. Intell. Syst. Technol. 13 (4) (2022)
Chuhan Wu, Fangzhao Wu, Tao Qi, Qi Liu, Xuan Tian, Jie Li, Wei He, Yongfeng Huang, Xing Xie
FeedRec: News Feed Recommendation with Various User Feedbacks. WWW (2022)
Tao Qi, Fangzhao Wu, Chuhan Wu, Yongfeng Huang
FUM: Fine-grained and Fast User Modeling for News Recommendation. SIGIR (2022)
Jingwei Yi, Fangzhao Wu, Chuhan Wu, Xiaolong Huang, Binxing Jiao, Guangzhong Sun, Xing Xie
Effective and Efficient Query-aware Snippet Extraction for Web Search. CoRR (2022)
Sungwon Han, Sungwon Park, Fangzhao Wu, Sundong Kim, Chuhan Wu, Xing Xie, Meeyoung Cha
FedX: Unsupervised Federated Learning with Cross Knowledge Distillation. CoRR (2022)
Tao Qi, Fangzhao Wu, Chuhan Wu, Lingjuan Lyu, Tong Xu, Zhongliang Yang, Yongfeng Huang, Xing Xie
FairVFL: A Fair Vertical Federated Learning Framework with Contrastive Adversarial Learning. CoRR (2022)
Tao Qi, Fangzhao Wu, Chuhan Wu, Lingjuan Lyu, Tong Xu, Hao Liao, Zhongliang Yang, Yongfeng Huang, Xing Xie
FairVFL: A Fair Vertical Federated Learning Framework with Contrastive Adversarial Learning. NeurIPS (2022)
Chuhan Wu, Fangzhao Wu, Xiangnan He, Yongfeng Huang
DebiasGAN: Eliminating Position Bias in News Recommendation with Adversarial Learning. EMNLP (Findings) (2022)
Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang
NoisyTune: A Little Noise Can Help You Finetune Pretrained Language Models Better. ACL (2) (2022)
Tao Qi, Fangzhao Wu, Chuhan Wu, Peijie Sun, Le Wu, Xiting Wang, Yongfeng Huang, Xing Xie
ProFairRec: Provider Fairness-aware News Recommendation. CoRR (2022)
Tao Qi, Fangzhao Wu, Chuhan Wu, Yongfeng Huang
FUM: Fine-grained and Fast User Modeling for News Recommendation. CoRR (2022)
Sungwon Han, Sungwon Park, Fangzhao Wu, Sundong Kim, Chuhan Wu, Xing Xie, Meeyoung Cha
FedX: Unsupervised Federated Learning with Cross Knowledge Distillation. ECCV (30) (2022)
Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang
End-to-end Learnable Diversity-aware News Recommendation. CoRR (2022)
Yang Yu, Fangzhao Wu, Chuhan Wu, Jingwei Yi, Qi Liu
Tiny-NewsRec: Effective and Efficient PLM-based News Recommendation. EMNLP (2022)
Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang, Xing Xie
NoisyTune: A Little Noise Can Help You Finetune Pretrained Language Models Better. CoRR (2022)
Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang
Unified and Effective Ensemble Knowledge Distillation. CoRR (2022)
Tao Qi, Fangzhao Wu, Chuhan Wu, Yongfeng Huang
News Recommendation with Candidate-aware User Modeling. CoRR (2022)
Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang, Xing Xie
FedAttack: Effective and Covert Poisoning Attack on Federated Recommendation via Hard Sampling. CoRR (2022)
Yubo Chen, Chuhan Wu, Yongfeng Huang
Enhancing structure modeling for relation extraction with fine-grained gating and co-attention. Neurocomputing 467 (2022)
Chuhan Wu, Fangzhao Wu, Tao Qi, Chao Zhang, Yongfeng Huang, Tong Xu
MM-Rec: Visiolinguistic Model Empowered Multimodal News Recommendation. SIGIR (2022)
Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang
Quality-aware News Recommendation. CoRR (2022)
Ruixuan Liu, Fangzhao Wu, Chuhan Wu, Yanlin Wang, Yang Cao, Lingjuan Lyu, Weike Pan, Yun Chen, Hong Chen, Xing Xie
PrivateRec: Differentially Private Training and Serving for Federated News Recommendation. CoRR (2022)
Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang
Semi-FairVAE: Semi-supervised Fair Representation Learning with Adversarial Variational Autoencoder. CoRR (2022)
Ruixuan Liu, Fangzhao Wu, Chuhan Wu, Yanlin Wang, Lingjuan Lyu, Hong Chen, Xing Xie
No One Left Behind: Inclusive Federated Learning over Heterogeneous Devices. KDD (2022)
Chuhan Wu, Fangzhao Wu, Tao Qi, Chenliang Li, Yongfeng Huang
Is News Recommendation a Sequential Recommendation Task? SIGIR (2022)
Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang
Are Big Recommendation Models Fair to Cold Users? CoRR (2022)
Ruixuan Liu, Fangzhao Wu, Chuhan Wu, Yanlin Wang, Lingjuan Lyu, Hong Chen, Xing Xie
No One Left Behind: Inclusive Federated Learning over Heterogeneous Devices. CoRR (2022)
Jingwei Yi, Fangzhao Wu, Chuhan Wu, Xiaolong Huang, Binxing Jiao, Guangzhong Sun, Xing Xie
Effective and Efficient Query-aware Snippet Extraction for Web Search. EMNLP (2022)
Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang
Two Birds with One Stone: Unified Model Learning for Both Recall and Ranking in News Recommendation. ACL (Findings) (2022)
Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang, Xing Xie
FedCL: Federated Contrastive Learning for Privacy-Preserving Recommendation. CoRR (2022)
Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang
UserBERT: Pre-training User Model with Contrastive Self-supervision. SIGIR (2022)
Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang
FairRank: Fairness-aware Single-tower Ranking Framework for News Recommendation. CoRR (2022)
Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang, Xing Xie
FedAttack: Effective and Covert Poisoning Attack on Federated Recommendation via Hard Sampling. KDD (2022)
Chuhan Wu, Fangzhao Wu, Yongfeng Huang
Rethinking InfoNCE: How Many Negative Samples Do You Need? IJCAI (2022)
Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang
Hi-Transformer: Hierarchical Interactive Transformer for Efficient and Effective Long Document Modeling. ACL/IJCNLP (2) (2021)
Chuhan Wu, Fangzhao Wu, Yongfeng Huang
DA-Transformer: Distance-aware Transformer. NAACL-HLT (2021)
Chuhan Wu, Fangzhao Wu, Yongfeng Huang
Rethinking InfoNCE: How Many Negative Samples Do You Need? CoRR (2021)
Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang
Empowering News Recommendation with Pre-trained Language Models. SIGIR (2021)
Kaiye Yu, Zhongliang Yang, Chuhan Wu, Yongfeng Huang, Xiaolei Xie
In-hospital resource utilization prediction from electronic medical records with deep learning. Knowl. Based Syst. 223 (2021)
Chuhan Wu, Fangzhao Wu, Yang Yu, Tao Qi, Yongfeng Huang, Qi Liu
NewsBERT: Distilling Pre-trained Language Model for Intelligent News Application. EMNLP (Findings) (2021)
Tao Qi, Fangzhao Wu, Chuhan Wu, Yongfeng Huang
Personalized News Recommendation with Knowledge-aware Interactive Matching. CoRR (2021)
Jingwei Yi, Fangzhao Wu, Chuhan Wu, Ruixuan Liu, Guangzhong Sun, Xing Xie
Efficient-FedRec: Efficient Federated Learning Framework for Privacy-Preserving News Recommendation. EMNLP (1) (2021)
Chuhan Wu, Fangzhao Wu, Xiting Wang, Yongfeng Huang, Xing Xie
Fairness-aware News Recommendation with Decomposed Adversarial Learning. AAAI (2021)
Chuhan Wu, Fangzhao Wu, Yongfeng Huang
Personalized News Recommendation: A Survey. CoRR (2021)
Chuhan Wu, Fangzhao Wu, Yang Yu, Tao Qi, Yongfeng Huang, Qi Liu
NewsBERT: Distilling Pre-trained Language Model for Intelligent News Application. CoRR (2021)
Jingwei Yi, Fangzhao Wu, Chuhan Wu, Ruixuan Liu, Guangzhong Sun, Xing Xie
Efficient-FedRec: Efficient Federated Learning Framework for Privacy-Preserving News Recommendation. CoRR (2021)
Chuhan Wu, Fangzhao Wu, Tao Qi, Binxing Jiao, Daxin Jiang, Yongfeng Huang
Smart Bird: Learnable Sparse Attention for Efficient and Effective Transformer. CoRR (2021)
Chuhan Wu, Fangzhao Wu, Yongfeng Huang
One Teacher is Enough? Pre-trained Language Model Distillation from Multiple Teachers. ACL/IJCNLP (Findings) (2021)
Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang
Is News Recommendation a Sequential Recommendation Task? CoRR (2021)
Tao Qi, Fangzhao Wu, Chuhan Wu, Yongfeng Huang
Personalized News Recommendation with Knowledge-aware Interactive Matching. SIGIR (2021)
Tao Qi, Fangzhao Wu, Chuhan Wu, Peiru Yang, Yang Yu, Xing Xie, Yongfeng Huang
HieRec: Hierarchical User Interest Modeling for Personalized News Recommendation. CoRR (2021)
Tao Qi, Fangzhao Wu, Chuhan Wu, Yongfeng Huang
PP-Rec: News Recommendation with Personalized User Interest and Time-aware News Popularity. ACL/IJCNLP (1) (2021)
Tao Qi, Fangzhao Wu, Chuhan Wu, Yongfeng Huang
PP-Rec: News Recommendation with Personalized User Interest and Time-aware News Popularity. CoRR (2021)
Chuhan Wu, Fangzhao Wu, Yongfeng Huang, Xing Xie
User-as-Graph: User Modeling with Heterogeneous Graph Pooling for News Recommendation. IJCAI (2021)
Chuhan Wu, Fangzhao Wu, Yongfeng Huang
One Teacher is Enough? Pre-trained Language Model Distillation from Multiple Teachers. CoRR (2021)
Chuhan Wu, Fangzhao Wu, Yongfeng Huang
DebiasGAN: Eliminating Position Bias in News Recommendation with Adversarial Learning. CoRR (2021)
Chuhan Wu, Fangzhao Wu, Ruixuan Liu, Lingjuan Lyu, Yongfeng Huang, Xing Xie
FedKD: Communication Efficient Federated Learning via Knowledge Distillation. CoRR (2021)
Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang
Hi-Transformer: Hierarchical Interactive Transformer for Efficient and Effective Long Document Modeling. CoRR (2021)
Chuhan Wu, Fangzhao Wu, Yang Cao, Yongfeng Huang, Xing Xie
FedGNN: Federated Graph Neural Network for Privacy-Preserving Recommendation. CoRR (2021)
Tao Qi, Fangzhao Wu, Chuhan Wu, Yongfeng Huang, Xing Xie
Uni-FedRec: A Unified Privacy-Preserving News Recommendation Framework for Model Training and Online Serving. CoRR (2021)
Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang
FeedRec: News Feed Recommendation with Various User Feedbacks. CoRR (2021)
Chuhan Wu, Fangzhao Wu, Yang Yu, Tao Qi, Yongfeng Huang, Xing Xie
UserBERT: Contrastive User Model Pre-training. CoRR (2021)
Jingwei Yi, Fangzhao Wu, Chuhan Wu, Qifei Li, Guangzhong Sun, Xing Xie
DebiasedRec: Bias-aware User Modeling and Click Prediction for Personalized News Recommendation. CoRR (2021)
Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang
MM-Rec: Multimodal News Recommendation. CoRR (2021)
Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang
Empowering News Recommendation with Pre-trained Language Models. CoRR (2021)
Chuhan Wu, Fangzhao Wu, Yongfeng Huang, Xing Xie
Neural News Recommendation with Negative Feedback. CoRR (2021)
Yang Yu, Fangzhao Wu, Chuhan Wu, Jingwei Yi, Tao Qi, Qi Liu
Tiny-NewsRec: Efficient and Effective PLM-based News Recommendation. CoRR (2021)
Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang, Xing Xie
Fastformer: Additive Attention Can Be All You Need. CoRR (2021)
Tao Qi, Fangzhao Wu, Chuhan Wu, Peiru Yang, Yang Yu, Xing Xie, Yongfeng Huang
HieRec: Hierarchical User Interest Modeling for Personalized News Recommendation. ACL/IJCNLP (1) (2021)
Tao Qi, Fangzhao Wu, Chuhan Wu, Yongfeng Huang, Xing Xie
Uni-FedRec: A Unified Privacy-Preserving News Recommendation Framework for Model Training and Online Serving. EMNLP (Findings) (2021)
Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang
Two Birds with One Stone: Unified Model Learning for Both Recall and Ranking in News Recommendation. CoRR (2021)

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Publication Activity (10 Years)

Top Topics

Top Venues

Chuhan Wu