Chuhan Wu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
80
Venues
16
Active years
2017–2026
Best venue rank
A*
Where they publish
Papers
80 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | Beyond Transcription: Unified Audio Schema for Perception-Aware AudioLLMs. | Linhao Zhang, Yuhan Song, Aiwei Liu, Chuhan Wu, Sijun Zhang, Wei Jia, Yuan Liu, Houfeng Wang, Zhou Xiao |
| 2025 | ACL | Instruction-Tuning Data Synthesis from Scratch via Web Reconstruction. | Yuxin Jiang, Yufei Wang, Chuhan Wu, Xinyi Dai, Yan Xu, Weinan Gan, Yasheng Wang, Xin Jiang, Lifeng Shang, Ruiming Tang, Wei Wang |
| 2025 | ACL | Crowd Comparative Reasoning: Unlocking Comprehensive Evaluations for LLM-as-a-Judge. | Qiyuan Zhang, Yufei Wang, Yuxin Jiang, Liangyou Li, Chuhan Wu, Yasheng Wang, Xin Jiang, Lifeng Shang, Ruiming Tang, Fuyuan Lyu, Chen Ma |
| 2025 | CIKM | StepTool: Enhancing Multi-Step Tool Usage in LLMs via Step-Grained Reinforcement Learning. | Yuanqing Yu, Zhefan Wang, Weizhi Ma, Shuai Wang, Chuhan Wu, Zhiqiang Guo, Min Zhang |
| 2025 | COLING | LLMTreeRec: Unleashing the Power of Large Language Models for Cold-Start Recommendations. | Wenlin Zhang, Chuhan Wu, Xiangyang Li, Yuhao Wang, Kuicai Dong, Yichao Wang, Xinyi Dai, Xiangyu Zhao, Huifeng Guo, Ruiming Tang |
| 2025 | EMNLP | POINTS-Reader: Distillation-Free Adaptation of Vision-Language Models for Document Conversion. | Yuan Liu, Zhongyin Zhao, Le Tian, Haicheng Wang, Xubing Ye, Yangxiu You, Zilin Yu, Chuhan Wu, Zhou Xiao, Yang Yu, Jie Zhou |
| 2025 | ICLR | ToolACE: Winning the Points of LLM Function Calling. | Weiwen Liu, Xu Huang, Xingshan Zeng, Xinlong Hao, Shuai Yu, Dexun Li, Shuai Wang, Weinan Gan, Zhengying Liu, Yuanqing Yu, Zezhong Wang, Yuxian Wang, Wu Ning, Yutai Hou, Bin Wang, Chuhan Wu, Xinzhi Wang, Yong Liu, Yasheng Wang, Duyu Tang, Dandan Tu, Lifeng Shang, Xin Jiang, Ruiming Tang, Defu Lian, Qun Liu, Enhong Chen |
| 2025 | ICLR | RevisEval: Improving LLM-as-a-Judge via Response-Adapted References. | Qiyuan Zhang, Yufei Wang, Tiezheng Yu, Yuxin Jiang, Chuhan Wu, Liangyou Li, Yasheng Wang, Xin Jiang, Lifeng Shang, Ruiming Tang, Fuyuan Lyu, Chen Ma |
| 2025 | KDD | TayFCS: Towards Light Feature Combination Selection for Deep Recommender Systems. | Xianquan Wang, Zhaocheng Du, Jieming Zhu, Chuhan Wu, Qinglin Jia, Zhenhua Dong |
| 2025 | WWW | Beyond Utility: Evaluating LLM as Recommender. | Chumeng Jiang, Jiayin Wang, Weizhi Ma, Charles L. A. Clarke, Shuai Wang, Chuhan Wu, Min Zhang |
| 2025 | WWW | Few-shot LLM Synthetic Data with Distribution Matching. | Jiyuan Ren, Zhaocheng Du, Zhihao Wen, Qinglin Jia, Sunhao Dai, Chuhan Wu, Zhenhua Dong |
| 2024 | ACL | Learning to Edit: Aligning LLMs with Knowledge Editing. | Yuxin Jiang, Yufei Wang, Chuhan Wu, Wanjun Zhong, Xingshan Zeng, Jiahui Gao, Liangyou Li, Xin Jiang, Lifeng Shang, Ruiming Tang, Qun Liu, Wei Wang |
| 2024 | CIKM | Confidence-Aware Multi-Field Model Calibration. | Yuang Zhao, Chuhan Wu, Qinglin Jia, Hong Zhu, Jia Yan, Libin Zong, Linxuan Zhang, Zhenhua Dong, Muyu Zhang |
| 2024 | RecSys | A Tutorial on Feature Interpretation in Recommender Systems. | Zhaocheng Du, Chuhan Wu, Qinglin Jia, Jieming Zhu, Xu Chen |
| 2024 | RecSys | Ranking-Aware Unbiased Post-Click Conversion Rate Estimation via AUC Optimization on Entire Exposure Space. | Yu Liu, Qinglin Jia, Shuting Shi, Chuhan Wu, Zhaocheng Du, Zheng Xie, Ruiming Tang, Muyu Zhang, Ming Li |
| 2024 | WWW | LightCS: Selecting Quadratic Feature Crosses in Linear Complexity. | Zhaocheng Du, Junhao Chen, Qinglin Jia, Chuhan Wu, Jieming Zhu, Zhenhua Dong, Ruiming Tang |
| 2024 | WWW | Collaborative-Enhanced Prediction of Spending on Newly Downloaded Mobile Games under Consumption Uncertainty. | Peijie Sun, Yifan Wang, Min Zhang, Chuhan Wu, Yan Fang, Hong Zhu, Yuan Fang, Meng Wang |
| 2024 | WWW | Multimodal Pretraining and Generation for Recommendation: A Tutorial. | Jieming Zhu, Xin Zhou, Chuhan Wu, Rui Zhang, Zhenhua Dong |
| 2023 | RecSys | Customer Lifetime Value Prediction: Towards the Paradigm Shift of Recommender System Objectives. | Chuhan Wu, Qinglin Jia, Zhenhua Dong, Ruiming Tang |
| 2023 | WWW | DualFair: Fair Representation Learning at Both Group and Individual Levels via Contrastive Self-supervision. | Sungwon Han, SeungEon Lee, Fangzhao Wu, Sundong Kim, Chuhan Wu, Xiting Wang, Xing Xie, Meeyoung Cha |
| 2023 | WWW | Task Adaptive Multi-learner Network for Joint CTR and CVR Estimation. | Xiaofan Liu, Qinglin Jia, Chuhan Wu, Jingjie Li, Quanyu Dai, Lin Bo, Rui Zhang, Ruiming Tang |
| 2022 | ACL | NoisyTune: A Little Noise Can Help You Finetune Pretrained Language Models Better. | Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang |
| 2022 | ACL | Two Birds with One Stone: Unified Model Learning for Both Recall and Ranking in News Recommendation. | Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang |
| 2022 | ECCV | FedX: Unsupervised Federated Learning with Cross Knowledge Distillation. | Sungwon Han, Sungwon Park, Fangzhao Wu, Sundong Kim, Chuhan Wu, Xing Xie, Meeyoung Cha |
| 2022 | EMNLP | DebiasGAN: Eliminating Position Bias in News Recommendation with Adversarial Learning. | Chuhan Wu, Fangzhao Wu, Xiangnan He, Yongfeng Huang |
| 2022 | EMNLP | Effective and Efficient Query-aware Snippet Extraction for Web Search. | Jingwei Yi, Fangzhao Wu, Chuhan Wu, Xiaolong Huang, Binxing Jiao, Guangzhong Sun, Xing Xie |
| 2022 | EMNLP | Tiny-NewsRec: Effective and Efficient PLM-based News Recommendation. | Yang Yu, Fangzhao Wu, Chuhan Wu, Jingwei Yi, Qi Liu |
| 2022 | IJCAI | Rethinking InfoNCE: How Many Negative Samples Do You Need? | Chuhan Wu, Fangzhao Wu, Yongfeng Huang |
| 2022 | KDD | No One Left Behind: Inclusive Federated Learning over Heterogeneous Devices. | Ruixuan Liu, Fangzhao Wu, Chuhan Wu, Yanlin Wang, Lingjuan Lyu, Hong Chen, Xing Xie |
| 2022 | KDD | FedAttack: Effective and Covert Poisoning Attack on Federated Recommendation via Hard Sampling. | Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang, Xing Xie |
| 2022 | WWW | FeedRec: News Feed Recommendation with Various User Feedbacks. | Chuhan Wu, Fangzhao Wu, Tao Qi, Qi Liu, Xuan Tian, Jie Li, Wei He, Yongfeng Huang, Xing Xie |
| 2022 | SIGIR | News Recommendation with Candidate-aware User Modeling. | Tao Qi, Fangzhao Wu, Chuhan Wu, Yongfeng Huang |
| 2022 | SIGIR | FUM: Fine-grained and Fast User Modeling for News Recommendation. | Tao Qi, Fangzhao Wu, Chuhan Wu, Yongfeng Huang |
| 2022 | SIGIR | ProFairRec: Provider Fairness-aware News Recommendation. | Tao Qi, Fangzhao Wu, Chuhan Wu, Peijie Sun, Le Wu, Xiting Wang, Yongfeng Huang, Xing Xie |
| 2022 | SIGIR | UserBERT: Pre-training User Model with Contrastive Self-supervision. | Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang |
| 2022 | SIGIR | Is News Recommendation a Sequential Recommendation Task? | Chuhan Wu, Fangzhao Wu, Tao Qi, Chenliang Li, Yongfeng Huang |
| 2022 | SIGIR | MM-Rec: Visiolinguistic Model Empowered Multimodal News Recommendation. | Chuhan Wu, Fangzhao Wu, Tao Qi, Chao Zhang, Yongfeng Huang, Tong Xu |
| 2021 | AAAI | Fairness-aware News Recommendation with Decomposed Adversarial Learning. | Chuhan Wu, Fangzhao Wu, Xiting Wang, Yongfeng Huang, Xing Xie |
| 2021 | ACL | PP-Rec: News Recommendation with Personalized User Interest and Time-aware News Popularity. | Tao Qi, Fangzhao Wu, Chuhan Wu, Yongfeng Huang |
| 2021 | ACL | HieRec: Hierarchical User Interest Modeling for Personalized News Recommendation. | Tao Qi, Fangzhao Wu, Chuhan Wu, Peiru Yang, Yang Yu, Xing Xie, Yongfeng Huang |
| 2021 | ACL | One Teacher is Enough? Pre-trained Language Model Distillation from Multiple Teachers. | Chuhan Wu, Fangzhao Wu, Yongfeng Huang |
| 2021 | ACL | Hi-Transformer: Hierarchical Interactive Transformer for Efficient and Effective Long Document Modeling. | Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang |
| 2021 | EMNLP | Uni-FedRec: A Unified Privacy-Preserving News Recommendation Framework for Model Training and Online Serving. | Tao Qi, Fangzhao Wu, Chuhan Wu, Yongfeng Huang, Xing Xie |
| 2021 | EMNLP | NewsBERT: Distilling Pre-trained Language Model for Intelligent News Application. | Chuhan Wu, Fangzhao Wu, Yang Yu, Tao Qi, Yongfeng Huang, Qi Liu |
| 2021 | EMNLP | Efficient-FedRec: Efficient Federated Learning Framework for Privacy-Preserving News Recommendation. | Jingwei Yi, Fangzhao Wu, Chuhan Wu, Ruixuan Liu, Guangzhong Sun, Xing Xie |
| 2021 | IJCAI | User-as-Graph: User Modeling with Heterogeneous Graph Pooling for News Recommendation. | Chuhan Wu, Fangzhao Wu, Yongfeng Huang, Xing Xie |
| 2021 | NAACL | DA-Transformer: Distance-aware Transformer. | Chuhan Wu, Fangzhao Wu, Yongfeng Huang |
| 2021 | SIGIR | Personalized News Recommendation with Knowledge-aware Interactive Matching. | Tao Qi, Fangzhao Wu, Chuhan Wu, Yongfeng Huang |
| 2021 | SIGIR | Empowering News Recommendation with Pre-trained Language Models. | Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang |
| 2020 | ACL | MIND: A Large-scale Dataset for News Recommendation. | Fangzhao Wu, Ying Qiao, Jiun-Hung Chen, Chuhan Wu, Tao Qi, Jianxun Lian, Danyang Liu, Xing Xie, Jianfeng Gao, Winnie Wu, Ming Zhou |
| 2020 | ACL | Attentive Pooling with Learnable Norms for Text Representation. | Chuhan Wu, Fangzhao Wu, Tao Qi, Xiaohui Cui, Yongfeng Huang |
| 2020 | EMNLP | Privacy-Preserving News Recommendation Model Learning. | Tao Qi, Fangzhao Wu, Chuhan Wu, Yongfeng Huang, Xing Xie |
| 2020 | EMNLP | PTUM: Pre-training User Model from Unlabeled User Behaviors via Self-supervision. | Chuhan Wu, Fangzhao Wu, Tao Qi, Jianxun Lian, Yongfeng Huang, Xing Xie |
| 2020 | IJCAI | User Modeling with Click Preference and Reading Satisfaction for News Recommendation. | Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang |
| 2020 | IJCNLP | Named Entity Recognition in Multi-level Contexts. | Yubo Chen, Chuhan Wu, Tao Qi, Zhigang Yuan, Yongfeng Huang |
| 2020 | IJCNLP | SentiRec: Sentiment Diversity-aware Neural News Recommendation. | Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang |
| 2020 | WWW | Graph Enhanced Representation Learning for News Recommendation. | Suyu Ge, Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang |
| 2019 | AAAI | Incorporating Semantic Similarity with Geographic Correlation for Query-POI Relevance Learning. | Ji Zhao, Dan Peng, Chuhan Wu, Huan Chen, Meiyu Yu, Wanji Zheng, Li Ma, Hua Chai, Jieping Ye, Xiaohu Qie |
| 2019 | ACL | Neural News Recommendation with Long- and Short-term User Representations. | Mingxiao An, Fangzhao Wu, Chuhan Wu, Kun Zhang, Zheng Liu, Xing Xie |
| 2019 | ACL | Neural News Recommendation with Topic-Aware News Representation. | Chuhan Wu, Fangzhao Wu, Mingxiao An, Yongfeng Huang, Xing Xie |
| 2019 | CIKM | NICE: Neural In-Hospital Cost Estimation from Medical Records. | Chuhan Wu, Fangzhao Wu, Yongfeng Huang, Xing Xie |
| 2019 | CIKM | Sentiment Lexicon Enhanced Neural Sentiment Classification. | Chuhan Wu, Fangzhao Wu, Junxin Liu, Yongfeng Huang, Xing Xie |
| 2019 | CIKM | ARP: Aspect-aware Neural Review Rating Prediction. | Chuhan Wu, Fangzhao Wu, Junxin Liu, Yongfeng Huang, Xing Xie |
| 2019 | CIKM | Neural Gender Prediction in Microblogging with Emotion-aware User Representation. | Chuhan Wu, Fangzhao Wu, Tao Qi, Junxin Liu, Yongfeng Huang, Xing Xie |
| 2019 | CIKM | Neural Review Rating Prediction with User and Product Memory. | Zhigang Yuan, Fangzhao Wu, Junxin Liu, Chuhan Wu, Yongfeng Huang, Xing Xie |
| 2019 | EMNLP | Neural News Recommendation with Heterogeneous User Behavior. | Chuhan Wu, Fangzhao Wu, Mingxiao An, Tao Qi, Jianqiang Huang, Yongfeng Huang, Xing Xie |
| 2019 | EMNLP | Neural News Recommendation with Multi-Head Self-Attention. | Chuhan Wu, Fangzhao Wu, Suyu Ge, Tao Qi, Yongfeng Huang, Xing Xie |
| 2019 | EMNLP | Reviews Meet Graphs: Enhancing User and Item Representations for Recommendation with Hierarchical Attentive Graph Neural Network. | Chuhan Wu, Fangzhao Wu, Tao Qi, Suyu Ge, Yongfeng Huang, Xing Xie |
| 2019 | IJCAI | Neural News Recommendation with Attentive Multi-View Learning. | Chuhan Wu, Fangzhao Wu, Mingxiao An, Jianqiang Huang, Yongfeng Huang, Xing Xie |
| 2019 | KDD | NPA: Neural News Recommendation with Personalized Attention. | Chuhan Wu, Fangzhao Wu, Mingxiao An, Jianqiang Huang, Yongfeng Huang, Xing Xie |
| 2019 | NAACL | Hierarchical User and Item Representation with Three-Tier Attention for Recommendation. | Chuhan Wu, Fangzhao Wu, Junxin Liu, Yongfeng Huang |
| 2019 | WWW | Neural Chinese Word Segmentation with Lexicon and Unlabeled Data via Posterior Regularization. | Junxin Liu, Fangzhao Wu, Chuhan Wu, Yongfeng Huang, Xing Xie |
| 2019 | WWW | Neural Chinese Named Entity Recognition via CNN-LSTM-CRF and Joint Training with Word Segmentation. | Fangzhao Wu, Junxin Liu, Chuhan Wu, Yongfeng Huang, Xing Xie |
| 2019 | SIGIR | NRPA: Neural Recommendation with Personalized Attention. | Hongtao Liu, Fangzhao Wu, Wenjun Wang, Xianchen Wang, Pengfei Jiao, Chuhan Wu, Xing Xie |
| 2019 | WSDM | Neural Demographic Prediction using Search Query. | Chuhan Wu, Fangzhao Wu, Junxin Liu, Shaojian He, Yongfeng Huang, Xing Xie |
| 2019 | WSDM | MSA: Jointly Detecting Drug Name and Adverse Drug Reaction Mentioning Tweets with Multi-Head Self-Attention. | Chuhan Wu, Fangzhao Wu, Zhigang Yuan, Junxin Liu, Yongfeng Huang, Xing Xie |
| 2018 | CIKM | Imbalanced Sentiment Classification with Multi-Task Learning. | Fangzhao Wu, Chuhan Wu, Junxin Liu |
| 2018 | CIKM | Semi-Supervised Collaborative Learning for Social Spammer and Spam Message Detection in Microblogging. | Fangzhao Wu, Chuhan Wu, Junxin Liu |
| 2018 | ICDM | Neural Sentence-Level Sentiment Classification with Heterogeneous Supervision. | Zhigang Yuan, Fangzhao Wu, Junxin Liu, Chuhan Wu, Yongfeng Huang, Xing Xie |
| 2017 | IJCNLP | THU_NGN at IJCNLP-2017 Task 2: Dimensional Sentiment Analysis for Chinese Phrases with Deep LSTM. | Chuhan Wu, Fangzhao Wu, Yongfeng Huang, Sixing Wu, Zhigang Yuan |