Chuhan Wu - RankMe

210 papers A* 33A 15B 1Journal 110Unranked 51

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A spatiotemporal bidirectional mamba network with global-local skeletal enhancement for 3D human pose estimation. Vis. Comput. Chuhan Wu, Zan Wang, Guixian Zhou, Jiahao Hua
2026	J	`jnl`	Hierarchical spectral-gated GCN-transformer for 3D human pose estimation. Pattern Recognit. Lett. Guixian Zhou, Yi Li, Chuhan Wu, Jiahao Hua, Zan Wang
2025	J	`jnl`	A Unified Framework for Multi-Domain CTR Prediction via Large Language Models. ACM Trans. Inf. Syst. Zichuan Fu, Xiangyang Li, Chuhan Wu, Yichao Wang, Kuicai Dong, Xiangyu Zhao, Mengchen Zhao, Huifeng Guo, Ruiming Tang
2025	J	`jnl`	Advanced long-term earth system forecasting by learning the small-scale nature. CoRR Hao Wu, Yuan Gao, Ruiqi Shu, Kun Wang, Ruijian Gou, Chuhan Wu, Xinliang Liu, Juncai He, Shuhao Cao, Junfeng Fang, Xingjian Shi, Feng Tao, Qi Song, Shengxuan Ji, Yanfei Xiang, Yuze Sun, Jiahao Li, Fan Xu, Huanshuo Dong, Haixin Wang, Fan Zhang, Penghao Zhao, Xian Wu, Qingsong Wen, Deliang Chen, Xiaomeng Huang
2025	A*	`conf`	Beyond Utility: Evaluating LLM as Recommender. WWW Chumeng Jiang, Jiayin Wang, Weizhi Ma, Charles L. A. Clarke, Shuai Wang, Chuhan Wu, Min Zhang
2025	—	`conf`	Crowd Comparative Reasoning: Unlocking Comprehensive Evaluations for LLM-as-a-Judge. ACL (1) Qiyuan Zhang, Yufei Wang, Yuxin Jiang, Liangyou Li, Chuhan Wu, Yasheng Wang, Xin Jiang, Lifeng Shang, Ruiming Tang, Fuyuan Lyu, Chen Ma
2025	J	`jnl`	Crowd Comparative Reasoning: Unlocking Comprehensive Evaluations for LLM-as-a-Judge. CoRR Qiyuan Zhang, Yufei Wang, Yuxin Jiang, Liangyou Li, Chuhan Wu, Yasheng Wang, Xin Jiang, Lifeng Shang, Ruiming Tang, Fuyuan Lyu, Chen Ma
2025	—	`conf`	Few-shot LLM Synthetic Data with Distribution Matching. WWW (Companion Volume) Jiyuan Ren, Zhaocheng Du, Zhihao Wen, Qinglin Jia, Sunhao Dai, Chuhan Wu, Zhenhua Dong
2025	J	`jnl`	Few-shot LLM Synthetic Data with Distribution Matching. CoRR Jiyuan Ren, Zhaocheng Du, Zhihao Wen, Qinglin Jia, Sunhao Dai, Chuhan Wu, Zhenhua Dong
2025	J	`jnl`	How Can Recommender Systems Benefit from Large Language Models: A Survey. ACM Trans. Inf. Syst. Jianghao Lin, Xinyi Dai, Yunjia Xi, Weiwen Liu, Bo Chen, Hao Zhang, Yong Liu, Chuhan Wu, Xiangyang Li, Chenxu Zhu, Huifeng Guo, Yong Yu, Ruiming Tang, Weinan Zhang
2025	—	`conf`	Instruction-Tuning Data Synthesis from Scratch via Web Reconstruction. ACL (Findings) Yuxin Jiang, Yufei Wang, Chuhan Wu, Xinyi Dai, Yan Xu, Weinan Gan, Yasheng Wang, Xin Jiang, Lifeng Shang, Ruiming Tang, Wei Wang
2025	J	`jnl`	Instruction-Tuning Data Synthesis from Scratch via Web Reconstruction. CoRR Yuxin Jiang, Yufei Wang, Chuhan Wu, Xinyi Dai, Yan Xu, Weinan Gan, Yasheng Wang, Xin Jiang, Lifeng Shang, Ruiming Tang, Wei Wang
2025	B	`conf`	LLMTreeRec: Unleashing the Power of Large Language Models for Cold-Start Recommendations. COLING Wenlin Zhang, Chuhan Wu, Xiangyang Li, Yuhao Wang, Kuicai Dong, Yichao Wang, Xinyi Dai, Xiangyu Zhao, Huifeng Guo, Ruiming Tang
2025	J	`jnl`	Learning Human Feedback from Large Language Models for Content Quality-aware Recommendation. ACM Trans. Inf. Syst. Huili Wang, Chuhan Wu, Yongfeng Huang, Tao Qi
2025	J	`jnl`	ModelShield: Adaptive and Robust Watermark Against Model Extraction Attack. IEEE Trans. Inf. Forensics Secur. Kaiyi Pang, Tao Qi, Chuhan Wu, Minhao Bai, Minghu Jiang, Yongfeng Huang
2025	J	`jnl`	No One Left Behind: How to Exploit the Incomplete and Skewed Multi-Label Data for Conversion Rate Prediction. CoRR Qinglin Jia, Zhaocheng Du, Chuhan Wu, Huifeng Guo, Ruiming Tang, Shuting Shi, Muyu Zhang
2025	A*	`conf`	POINTS-Reader: Distillation-Free Adaptation of Vision-Language Models for Document Conversion. EMNLP Yuan Liu, Zhongyin Zhao, Le Tian, Haicheng Wang, Xubing Ye, Yangxiu You, Zilin Yu, Chuhan Wu, Zhou Xiao, Yang Yu, Jie Zhou
2025	J	`jnl`	POINTS-Reader: Distillation-Free Adaptation of Vision-Language Models for Document Conversion. CoRR Yuan Liu, Zhongyin Zhao, Le Tian, Haicheng Wang, Xubing Ye, Yangxiu You, Zilin Yu, Chuhan Wu, Xiao Zhou, Yang Yu, Jie Zhou
2025	A*	`conf`	RevisEval: Improving LLM-as-a-Judge via Response-Adapted References. ICLR 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	J	`jnl`	StableToken: A Noise-Robust Semantic Speech Tokenizer for Resilient SpeechLLMs. CoRR Yuhan Song, Linhao Zhang, Chuhan Wu, Aiwei Liu, Wei Jia, Houfeng Wang, Xiao Zhou
2025	A	`conf`	StepTool: Enhancing Multi-Step Tool Usage in LLMs via Step-Grained Reinforcement Learning. CIKM Yuanqing Yu, Zhefan Wang, Weizhi Ma, Shuai Wang, Chuhan Wu, Zhiqiang Guo, Min Zhang
2025	—	`conf`	TayFCS: Towards Light Feature Combination Selection for Deep Recommender Systems. KDD (2) Xianquan Wang, Zhaocheng Du, Jieming Zhu, Chuhan Wu, Qinglin Jia, Zhenhua Dong
2025	J	`jnl`	TayFCS: Towards Light Feature Combination Selection for Deep Recommender Systems. CoRR Xianquan Wang, Zhaocheng Du, Jieming Zhu, Chuhan Wu, Qinglin Jia, Zhenhua Dong
2025	J	`jnl`	The Real Barrier to LLM Agent Usability is Agentic ROI. CoRR Weiwen Liu, Jiarui Qin, Xu Huang, Xingshan Zeng, Yunjia Xi, Jianghao Lin, Chuhan Wu, Yasheng Wang, Lifeng Shang, Ruiming Tang, Defu Lian, Yong Yu, Weinan Zhang
2025	J	`jnl`	ToolACE-DEV: Self-Improving Tool Learning via Decomposition and EVolution. CoRR Xu Huang, Weiwen Liu, Xingshan Zeng, Yuefeng Huang, Xinlong Hao, Yuxian Wang, Yirong Zeng, Chuhan Wu, Yasheng Wang, Ruiming Tang, Defu Lian
2025	A*	`conf`	ToolACE: Winning the Points of LLM Function Calling. ICLR 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	J	`jnl`	WeDLM: Reconciling Diffusion Language Models with Standard Causal Attention for Fast Inference. CoRR Aiwei Liu, Minghua He, Shaoxun Zeng, Sijun Zhang, Linhao Zhang, Chuhan Wu, Wei Jia, Yuan Liu, Xiao Zhou, Jie Zhou
2025	J	`jnl`	WildSpeech-Bench: Benchmarking Audio LLMs in Natural Speech Conversation. CoRR Jian Zhang, Linhao Zhang, Bokai Lei, Chuhan Wu, Wei Jia, Xiao Zhou
2024	A	`conf`	A Tutorial on Feature Interpretation in Recommender Systems. RecSys Zhaocheng Du, Chuhan Wu, Qinglin Jia, Jieming Zhu, Xu Chen
2024	J	`jnl`	Adaptive and robust watermark against model extraction attack. CoRR Kaiyi Pang, Tao Qi, Chuhan Wu, Minhao Bai
2024	J	`jnl`	All Roads Lead to Rome: Unveiling the Trajectory of Recommender Systems Across the LLM Era. CoRR Bo Chen, Xinyi Dai, Huifeng Guo, Wei Guo, Weiwen Liu, Yong Liu, Jiarui Qin, Ruiming Tang, Yichao Wang, Chuhan Wu, Yaxiong Wu, Hao Zhang
2024	J	`jnl`	Beyond Utility: Evaluating LLM as Recommender. CoRR Chumeng Jiang, Jiayin Wang, Weizhi Ma, Charles L. A. Clarke, Shuai Wang, Chuhan Wu, Min Zhang
2024	—	`conf`	CIMTD: Class Incremental Multi-Teacher Knowledge Distillation for Fractal Object Detection. PRCV (12) Chuhan Wu, Xiaochuan Luo, Haoran Huang, Yulin Zhang
2024	J	`jnl`	CogAware: Cognition-Aware framework for sentiment analysis with textual representations. Knowl. Based Syst. Zhihan Zhang, Chuhan Wu, Hongyi Chen, Hongyang Chen
2024	—	`conf`	Collaborative-Enhanced Prediction of Spending on Newly Downloaded Mobile Games under Consumption Uncertainty. WWW (Companion Volume) Peijie Sun, Yifan Wang, Min Zhang, Chuhan Wu, Yan Fang, Hong Zhu, Yuan Fang, Meng Wang
2024	J	`jnl`	Collaborative-Enhanced Prediction of Spending on Newly Downloaded Mobile Games under Consumption Uncertainty. CoRR Peijie Sun, Yifan Wang, Min Zhang, Chuhan Wu, Yan Fang, Hong Zhu, Yuan Fang, Meng Wang
2024	A	`conf`	Confidence-Aware Multi-Field Model Calibration. CIKM Yuang Zhao, Chuhan Wu, Qinglin Jia, Hong Zhu, Jia Yan, Libin Zong, Linxuan Zhang, Zhenhua Dong, Muyu Zhang
2024	J	`jnl`	Confidence-Aware Multi-Field Model Calibration. CoRR Yuang Zhao, Chuhan Wu, Qinglin Jia, Hong Zhu, Jia Yan, Libin Zong, Linxuan Zhang, Zhenhua Dong, Muyu Zhang
2024	J	`jnl`	Entropy Law: The Story Behind Data Compression and LLM Performance. CoRR Mingjia Yin, Chuhan Wu, Yufei Wang, Hao Wang, Wei Guo, Yasheng Wang, Yong Liu, Ruiming Tang, Defu Lian, Enhong Chen
2024	—	`conf`	Learning to Edit: Aligning LLMs with Knowledge Editing. ACL (1) 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	J	`jnl`	Learning to Edit: Aligning LLMs with Knowledge Editing. CoRR 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	—	`conf`	LightCS: Selecting Quadratic Feature Crosses in Linear Complexity. WWW (Companion Volume) Zhaocheng Du, Junhao Chen, Qinglin Jia, Chuhan Wu, Jieming Zhu, Zhenhua Dong, Ruiming Tang
2024	—	`conf`	Multimodal Pretraining and Generation for Recommendation: A Tutorial. WWW (Companion Volume) Jieming Zhu, Xin Zhou, Chuhan Wu, Rui Zhang, Zhenhua Dong
2024	J	`jnl`	Multimodal Pretraining and Generation for Recommendation: A Tutorial. CoRR Jieming Zhu, Chuhan Wu, Rui Zhang, Zhenhua Dong
2024	J	`jnl`	Performance Law of Large Language Models. CoRR Chuhan Wu, Ruiming Tang
2024	—	`conf`	Play to Your Strengths: Collaborative Intelligence of Conventional Recommender Models and Large Language Models. CCIR Yunjia Xi, Weiwen Liu, Jianghao Lin, Chuhan Wu, Bo Chen, Ruiming Tang, Weinan Zhang, Yong Yu
2024	J	`jnl`	Play to Your Strengths: Collaborative Intelligence of Conventional Recommender Models and Large Language Models. CoRR Yunjia Xi, Weiwen Liu, Jianghao Lin, Chuhan Wu, Bo Chen, Ruiming Tang, Weinan Zhang, Yong Yu
2024	J	`jnl`	Predictive Models in Sequential Recommendations: Bridging Performance Laws with Data Quality Insights. CoRR Tingjia Shen, Hao Wang, Chuhan Wu, Jin Yao Chin, Wei Guo, Yong Liu, Huifeng Guo, Defu Lian, Ruiming Tang, Enhong Chen
2024	A	`conf`	Ranking-Aware Unbiased Post-Click Conversion Rate Estimation via AUC Optimization on Entire Exposure Space. RecSys Yu Liu, Qinglin Jia, Shuting Shi, Chuhan Wu, Zhaocheng Du, Zheng Xie, Ruiming Tang, Muyu Zhang, Ming Li
2024	J	`jnl`	RecSys Arena: Pair-wise Recommender System Evaluation with Large Language Models. CoRR Zhuo Wu, Qinglin Jia, Chuhan Wu, Zhaocheng Du, Shuai Wang, Zan Wang, Zhenhua Dong
2024	J	`jnl`	RevisEval: Improving LLM-as-a-Judge via Response-Adapted References. CoRR Qiyuan Zhang, Yufei Wang, Tiezheng Yu, Yuxin Jiang, Chuhan Wu, Liangyou Li, Yasheng Wang, Xin Jiang, Lifeng Shang, Ruiming Tang, Fuyuan Lyu, Chen Ma
2024	J	`jnl`	Revisiting the Efficacy of Signal Decomposition in AI-based Time Series Prediction. CoRR Kexin Jiang, Chuhan Wu, Yaoran Chen
2024	J	`jnl`	StepTool: A Step-grained Reinforcement Learning Framework for Tool Learning in LLMs. CoRR Yuanqing Yu, Zhefan Wang, Weizhi Ma, Zhicheng Guo, Jingtao Zhan, Shuai Wang, Chuhan Wu, Zhiqiang Guo, Min Zhang
2024	J	`jnl`	Tired of Plugins? Large Language Models Can Be End-To-End Recommenders. CoRR Wenlin Zhang, Chuhan Wu, Xiangyang Li, Yuhao Wang, Kuicai Dong, Yichao Wang, Xinyi Dai, Xiangyu Zhao, Huifeng Guo, Ruiming Tang
2024	J	`jnl`	ToolACE: Winning the Points of LLM Function Calling. CoRR 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
2023	A	`conf`	A Token-wise Graph-based Framework for Multimodal Named Entity Recognition. ICME Zhengxuan Zhang, Weixing Mai, Haoliang Xiong, Chuhan Wu, Yun Xue
2023	J	`jnl`	A Unified Framework for Multi-Domain CTR Prediction via Large Language Models. CoRR Zichuan Fu, Xiangyang Li, Chuhan Wu, Yichao Wang, Kuicai Dong, Xiangyu Zhao, Mengchen Zhao, Huifeng Guo, Ruiming Tang
2023	J	`jnl`	Architecture Alternative Deep Multi-View Clustering. IEEE Signal Process. Lett. Ke Ping, Shuxiao Li, Chuhan Wu, Zhenwen Ren
2023	J	`jnl`	BART-based contrastive and retrospective network for aspect-category-opinion-sentiment quadruple extraction. Int. J. Mach. Learn. Cybern. Haoliang Xiong, Zehao Yan, Chuhan Wu, Guojun Lu, Shiguan Pang, Yun Xue, Qianhua Cai
2023	J	`jnl`	Contrastive Multi-view Framework for Customer Lifetime Value Prediction. CoRR Chuhan Wu, Jingjie Li, Qinglin Jia, Hong Zhu, Yuan Fang, Ruiming Tang
2023	A	`conf`	Customer Lifetime Value Prediction: Towards the Paradigm Shift of Recommender System Objectives. RecSys Chuhan Wu, Qinglin Jia, Zhenhua Dong, Ruiming Tang
2023	A*	`conf`	DualFair: Fair Representation Learning at Both Group and Individual Levels via Contrastive Self-supervision. WWW Sungwon Han, Seungeon Lee, Fangzhao Wu, Sundong Kim, Chuhan Wu, Xiting Wang, Xing Xie, Meeyoung Cha
2023	J	`jnl`	DualFair: Fair Representation Learning at Both Group and Individual Levels via Contrastive Self-supervision. CoRR Sungwon Han, Seungeon Lee, Fangzhao Wu, Sundong Kim, Chuhan Wu, Xiting Wang, Xing Xie, Meeyoung Cha
2023	J	`jnl`	Personalized News Recommendation: Methods and Challenges. ACM Trans. Inf. Syst. Chuhan Wu, Fangzhao Wu, Yongfeng Huang, Xing Xie
2023	J	`jnl`	Semi-supervised named entity recognition in multi-level contexts. Neurocomputing Yubo Chen, Chuhan Wu, Tao Qi, Zhigang Yuan, Yuesong Zhang, Shuai Yang, Jian Guan, Donghong Sun, Yongfeng Huang
2023	—	`conf`	Task Adaptive Multi-learner Network for Joint CTR and CVR Estimation. WWW (Companion Volume) Xiaofan Liu, Qinglin Jia, Chuhan Wu, Jingjie Li, Quanyu Dai, Lin Bo, Rui Zhang, Ruiming Tang
2022	J	`jnl`	Are Big Recommendation Models Fair to Cold Users? CoRR Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang
2022	—	`conf`	DebiasGAN: Eliminating Position Bias in News Recommendation with Adversarial Learning. EMNLP (Findings) Chuhan Wu, Fangzhao Wu, Xiangnan He, Yongfeng Huang
2022	A*	`conf`	Effective and Efficient Query-aware Snippet Extraction for Web Search. EMNLP Jingwei Yi, Fangzhao Wu, Chuhan Wu, Xiaolong Huang, Binxing Jiao, Guangzhong Sun, Xing Xie
2022	J	`jnl`	Effective and Efficient Query-aware Snippet Extraction for Web Search. CoRR Jingwei Yi, Fangzhao Wu, Chuhan Wu, Xiaolong Huang, Binxing Jiao, Guangzhong Sun, Xing Xie
2022	J	`jnl`	End-to-end Learnable Diversity-aware News Recommendation. CoRR Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang
2022	J	`jnl`	Enhancing structure modeling for relation extraction with fine-grained gating and co-attention. Neurocomputing Yubo Chen, Chuhan Wu, Yongfeng Huang
2022	A*	`conf`	FUM: Fine-grained and Fast User Modeling for News Recommendation. SIGIR Tao Qi, Fangzhao Wu, Chuhan Wu, Yongfeng Huang
2022	J	`jnl`	FUM: Fine-grained and Fast User Modeling for News Recommendation. CoRR Tao Qi, Fangzhao Wu, Chuhan Wu, Yongfeng Huang
2022	J	`jnl`	FairRank: Fairness-aware Single-tower Ranking Framework for News Recommendation. CoRR Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang
2022	A*	`conf`	FairVFL: A Fair Vertical Federated Learning Framework with Contrastive Adversarial Learning. NeurIPS Tao Qi, Fangzhao Wu, Chuhan Wu, Lingjuan Lyu, Tong Xu, Hao Liao, Zhongliang Yang, Yongfeng Huang, Xing Xie
2022	J	`jnl`	FairVFL: A Fair Vertical Federated Learning Framework with Contrastive Adversarial Learning. CoRR Tao Qi, Fangzhao Wu, Chuhan Wu, Lingjuan Lyu, Tong Xu, Zhongliang Yang, Yongfeng Huang, Xing Xie
2022	A*	`conf`	FedAttack: Effective and Covert Poisoning Attack on Federated Recommendation via Hard Sampling. KDD Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang, Xing Xie
2022	J	`jnl`	FedAttack: Effective and Covert Poisoning Attack on Federated Recommendation via Hard Sampling. CoRR Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang, Xing Xie
2022	J	`jnl`	FedCL: Federated Contrastive Learning for Privacy-Preserving Recommendation. CoRR Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang, Xing Xie
2022	J	`jnl`	FedCTR: Federated Native Ad CTR Prediction with Cross-platform User Behavior Data. ACM Trans. Intell. Syst. Technol. Chuhan Wu, Fangzhao Wu, Lingjuan Lyu, Yongfeng Huang, Xing Xie
2022	—	`conf`	FedX: Unsupervised Federated Learning with Cross Knowledge Distillation. ECCV (30) Sungwon Han, Sungwon Park, Fangzhao Wu, Sundong Kim, Chuhan Wu, Xing Xie, Meeyoung Cha
2022	J	`jnl`	FedX: Unsupervised Federated Learning with Cross Knowledge Distillation. CoRR Sungwon Han, Sungwon Park, Fangzhao Wu, Sundong Kim, Chuhan Wu, Xing Xie, Meeyoung Cha
2022	A*	`conf`	FeedRec: News Feed Recommendation with Various User Feedbacks. WWW Chuhan Wu, Fangzhao Wu, Tao Qi, Qi Liu, Xuan Tian, Jie Li, Wei He, Yongfeng Huang, Xing Xie
2022	J	`jnl`	Game of Privacy: Towards Better Federated Platform Collaboration under Privacy Restriction. CoRR Chuhan Wu, Fangzhao Wu, Tao Qi, Yanlin Wang, Yuqing Yang, Yongfeng Huang, Xing Xie
2022	A*	`conf`	Is News Recommendation a Sequential Recommendation Task? SIGIR Chuhan Wu, Fangzhao Wu, Tao Qi, Chenliang Li, Yongfeng Huang
2022	A*	`conf`	MM-Rec: Visiolinguistic Model Empowered Multimodal News Recommendation. SIGIR Chuhan Wu, Fangzhao Wu, Tao Qi, Chao Zhang, Yongfeng Huang, Tong Xu
2022	A*	`conf`	News Recommendation with Candidate-aware User Modeling. SIGIR Tao Qi, Fangzhao Wu, Chuhan Wu, Yongfeng Huang
2022	J	`jnl`	News Recommendation with Candidate-aware User Modeling. CoRR Tao Qi, Fangzhao Wu, Chuhan Wu, Yongfeng Huang
2022	A*	`conf`	No One Left Behind: Inclusive Federated Learning over Heterogeneous Devices. KDD Ruixuan Liu, Fangzhao Wu, Chuhan Wu, Yanlin Wang, Lingjuan Lyu, Hong Chen, Xing Xie
2022	J	`jnl`	No One Left Behind: Inclusive Federated Learning over Heterogeneous Devices. CoRR Ruixuan Liu, Fangzhao Wu, Chuhan Wu, Yanlin Wang, Lingjuan Lyu, Hong Chen, Xing Xie
2022	—	`conf`	NoisyTune: A Little Noise Can Help You Finetune Pretrained Language Models Better. ACL (2) Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang
2022	J	`jnl`	NoisyTune: A Little Noise Can Help You Finetune Pretrained Language Models Better. CoRR Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang, Xing Xie
2022	J	`jnl`	PrivateRec: Differentially Private Training and Serving for Federated News Recommendation. CoRR Ruixuan Liu, Fangzhao Wu, Chuhan Wu, Yanlin Wang, Yang Cao, Lingjuan Lyu, Weike Pan, Yun Chen, Hong Chen, Xing Xie
2022	A*	`conf`	ProFairRec: Provider Fairness-aware News Recommendation. SIGIR Tao Qi, Fangzhao Wu, Chuhan Wu, Peijie Sun, Le Wu, Xiting Wang, Yongfeng Huang, Xing Xie
2022	J	`jnl`	ProFairRec: Provider Fairness-aware News Recommendation. CoRR Tao Qi, Fangzhao Wu, Chuhan Wu, Peijie Sun, Le Wu, Xiting Wang, Yongfeng Huang, Xing Xie
2022	J	`jnl`	Quality-aware News Recommendation. CoRR Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang
2022	A*	`conf`	Rethinking InfoNCE: How Many Negative Samples Do You Need? IJCAI Chuhan Wu, Fangzhao Wu, Yongfeng Huang
2022	J	`jnl`	Semi-FairVAE: Semi-supervised Fair Representation Learning with Adversarial Variational Autoencoder. CoRR Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang
2022	A*	`conf`	Tiny-NewsRec: Effective and Efficient PLM-based News Recommendation. EMNLP Yang Yu, Fangzhao Wu, Chuhan Wu, Jingwei Yi, Qi Liu
2022	—	`conf`	Two Birds with One Stone: Unified Model Learning for Both Recall and Ranking in News Recommendation. ACL (Findings) Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang
2022	J	`jnl`	Unified and Effective Ensemble Knowledge Distillation. CoRR Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang
2022	A*	`conf`	UserBERT: Pre-training User Model with Contrastive Self-supervision. SIGIR Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang
2021	—	`conf`	DA-Transformer: Distance-aware Transformer. NAACL-HLT Chuhan Wu, Fangzhao Wu, Yongfeng Huang
2021	J	`jnl`	DebiasGAN: Eliminating Position Bias in News Recommendation with Adversarial Learning. CoRR Chuhan Wu, Fangzhao Wu, Yongfeng Huang
2021	J	`jnl`	DebiasedRec: Bias-aware User Modeling and Click Prediction for Personalized News Recommendation. CoRR Jingwei Yi, Fangzhao Wu, Chuhan Wu, Qifei Li, Guangzhong Sun, Xing Xie
2021	—	`conf`	Efficient-FedRec: Efficient Federated Learning Framework for Privacy-Preserving News Recommendation. EMNLP (1) Jingwei Yi, Fangzhao Wu, Chuhan Wu, Ruixuan Liu, Guangzhong Sun, Xing Xie
2021	J	`jnl`	Efficient-FedRec: Efficient Federated Learning Framework for Privacy-Preserving News Recommendation. CoRR Jingwei Yi, Fangzhao Wu, Chuhan Wu, Ruixuan Liu, Guangzhong Sun, Xing Xie
2021	A*	`conf`	Empowering News Recommendation with Pre-trained Language Models. SIGIR Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang
2021	J	`jnl`	Empowering News Recommendation with Pre-trained Language Models. CoRR Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang
2021	A*	`conf`	Fairness-aware News Recommendation with Decomposed Adversarial Learning. AAAI Chuhan Wu, Fangzhao Wu, Xiting Wang, Yongfeng Huang, Xing Xie
2021	J	`jnl`	Fastformer: Additive Attention Can Be All You Need. CoRR Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang, Xing Xie
2021	J	`jnl`	FedGNN: Federated Graph Neural Network for Privacy-Preserving Recommendation. CoRR Chuhan Wu, Fangzhao Wu, Yang Cao, Yongfeng Huang, Xing Xie
2021	J	`jnl`	FedKD: Communication Efficient Federated Learning via Knowledge Distillation. CoRR Chuhan Wu, Fangzhao Wu, Ruixuan Liu, Lingjuan Lyu, Yongfeng Huang, Xing Xie
2021	J	`jnl`	FeedRec: News Feed Recommendation with Various User Feedbacks. CoRR Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang
2021	—	`conf`	Hi-Transformer: Hierarchical Interactive Transformer for Efficient and Effective Long Document Modeling. ACL/IJCNLP (2) Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang
2021	J	`jnl`	Hi-Transformer: Hierarchical Interactive Transformer for Efficient and Effective Long Document Modeling. CoRR Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang
2021	—	`conf`	HieRec: Hierarchical User Interest Modeling for Personalized News Recommendation. ACL/IJCNLP (1) Tao Qi, Fangzhao Wu, Chuhan Wu, Peiru Yang, Yang Yu, Xing Xie, Yongfeng Huang
2021	J	`jnl`	HieRec: Hierarchical User Interest Modeling for Personalized News Recommendation. CoRR Tao Qi, Fangzhao Wu, Chuhan Wu, Peiru Yang, Yang Yu, Xing Xie, Yongfeng Huang
2021	J	`jnl`	In-hospital resource utilization prediction from electronic medical records with deep learning. Knowl. Based Syst. Kaiye Yu, Zhongliang Yang, Chuhan Wu, Yongfeng Huang, Xiaolei Xie
2021	J	`jnl`	Is News Recommendation a Sequential Recommendation Task? CoRR Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang
2021	J	`jnl`	MM-Rec: Multimodal News Recommendation. CoRR Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang
2021	J	`jnl`	Neural News Recommendation with Negative Feedback. CoRR Chuhan Wu, Fangzhao Wu, Yongfeng Huang, Xing Xie
2021	—	`conf`	NewsBERT: Distilling Pre-trained Language Model for Intelligent News Application. EMNLP (Findings) Chuhan Wu, Fangzhao Wu, Yang Yu, Tao Qi, Yongfeng Huang, Qi Liu
2021	J	`jnl`	NewsBERT: Distilling Pre-trained Language Model for Intelligent News Application. CoRR Chuhan Wu, Fangzhao Wu, Yang Yu, Tao Qi, Yongfeng Huang, Qi Liu
2021	—	`conf`	One Teacher is Enough? Pre-trained Language Model Distillation from Multiple Teachers. ACL/IJCNLP (Findings) Chuhan Wu, Fangzhao Wu, Yongfeng Huang
2021	J	`jnl`	One Teacher is Enough? Pre-trained Language Model Distillation from Multiple Teachers. CoRR Chuhan Wu, Fangzhao Wu, Yongfeng Huang
2021	—	`conf`	PP-Rec: News Recommendation with Personalized User Interest and Time-aware News Popularity. ACL/IJCNLP (1) Tao Qi, Fangzhao Wu, Chuhan Wu, Yongfeng Huang
2021	J	`jnl`	PP-Rec: News Recommendation with Personalized User Interest and Time-aware News Popularity. CoRR Tao Qi, Fangzhao Wu, Chuhan Wu, Yongfeng Huang
2021	A*	`conf`	Personalized News Recommendation with Knowledge-aware Interactive Matching. SIGIR Tao Qi, Fangzhao Wu, Chuhan Wu, Yongfeng Huang
2021	J	`jnl`	Personalized News Recommendation with Knowledge-aware Interactive Matching. CoRR Tao Qi, Fangzhao Wu, Chuhan Wu, Yongfeng Huang
2021	J	`jnl`	Personalized News Recommendation: A Survey. CoRR Chuhan Wu, Fangzhao Wu, Yongfeng Huang
2021	J	`jnl`	Rethinking InfoNCE: How Many Negative Samples Do You Need? CoRR Chuhan Wu, Fangzhao Wu, Yongfeng Huang
2021	J	`jnl`	Smart Bird: Learnable Sparse Attention for Efficient and Effective Transformer. CoRR Chuhan Wu, Fangzhao Wu, Tao Qi, Binxing Jiao, Daxin Jiang, Yongfeng Huang
2021	J	`jnl`	Tiny-NewsRec: Efficient and Effective PLM-based News Recommendation. CoRR Yang Yu, Fangzhao Wu, Chuhan Wu, Jingwei Yi, Tao Qi, Qi Liu
2021	J	`jnl`	Two Birds with One Stone: Unified Model Learning for Both Recall and Ranking in News Recommendation. CoRR Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang
2021	—	`conf`	Uni-FedRec: A Unified Privacy-Preserving News Recommendation Framework for Model Training and Online Serving. EMNLP (Findings) Tao Qi, Fangzhao Wu, Chuhan Wu, Yongfeng Huang, Xing Xie
2021	J	`jnl`	Uni-FedRec: A Unified Privacy-Preserving News Recommendation Framework for Model Training and Online Serving. CoRR Tao Qi, Fangzhao Wu, Chuhan Wu, Yongfeng Huang, Xing Xie
2021	A*	`conf`	User-as-Graph: User Modeling with Heterogeneous Graph Pooling for News Recommendation. IJCAI Chuhan Wu, Fangzhao Wu, Yongfeng Huang, Xing Xie
2021	J	`jnl`	UserBERT: Contrastive User Model Pre-training. CoRR Chuhan Wu, Fangzhao Wu, Yang Yu, Tao Qi, Yongfeng Huang, Xing Xie
2020	A*	`conf`	Attentive Pooling with Learnable Norms for Text Representation. ACL Chuhan Wu, Fangzhao Wu, Tao Qi, Xiaohui Cui, Yongfeng Huang
2020	—	`conf`	Clickbait Detection with Style-Aware Title Modeling and Co-attention. CNCL Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang
2020	J	`jnl`	DA-Transformer: Distance-aware Transformer. CoRR Chuhan Wu, Fangzhao Wu, Yongfeng Huang
2020	J	`jnl`	Detecting Entities of Works for Chinese Chatbot. ACM Trans. Asian Low Resour. Lang. Inf. Process. Chuhan Wu, Fangzhao Wu, Tao Qi, Junxin Liu, Yongfeng Huang, Xing Xie
2020	J	`jnl`	Fairness-aware News Recommendation with Decomposed Adversarial Learning. CoRR Chuhan Wu, Fangzhao Wu, Xiting Wang, Yongfeng Huang, Xing Xie
2020	J	`jnl`	FedCTR: Federated Native Ad CTR Prediction with Multi-Platform User Behavior Data. CoRR Chuhan Wu, Fangzhao Wu, Tao Di, Yongfeng Huang, Xing Xie
2020	J	`jnl`	FedNER: Privacy-preserving Medical Named Entity Recognition with Federated Learning. CoRR Suyu Ge, Fangzhao Wu, Chuhan Wu, Tao Qi, Yongfeng Huang, Xing Xie
2020	A*	`conf`	Graph Enhanced Representation Learning for News Recommendation. WWW Suyu Ge, Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang
2020	J	`jnl`	Graph Enhanced Representation Learning for News Recommendation. CoRR Suyu Ge, Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang
2020	J	`jnl`	Improving Attention Mechanism with Query-Value Interaction. CoRR Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang
2020	A*	`conf`	MIND: A Large-scale Dataset for News Recommendation. ACL Fangzhao Wu, Ying Qiao, Jiun-Hung Chen, Chuhan Wu, Tao Qi, Jianxun Lian, Danyang Liu, Xing Xie, Jianfeng Gao, Winnie Wu, Ming Zhou
2020	—	`conf`	Named Entity Recognition in Multi-level Contexts. AACL/IJCNLP Yubo Chen, Chuhan Wu, Tao Qi, Zhigang Yuan, Yongfeng Huang
2020	—	`conf`	Named Entity Recognition with Context-Aware Dictionary Knowledge. CNCL Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang
2020	J	`jnl`	Neural news recommendation with negative feedback. CCF Trans. Pervasive Comput. Interact. Chuhan Wu, Fangzhao Wu, Yongfeng Huang, Xing Xie
2020	—	`conf`	PTUM: Pre-training User Model from Unlabeled User Behaviors via Self-supervision. EMNLP (Findings) Chuhan Wu, Fangzhao Wu, Tao Qi, Jianxun Lian, Yongfeng Huang, Xing Xie
2020	J	`jnl`	PTUM: Pre-training User Model from Unlabeled User Behaviors via Self-supervision. CoRR Chuhan Wu, Fangzhao Wu, Tao Qi, Jianxun Lian, Yongfeng Huang, Xing Xie
2020	—	`conf`	Privacy-Preserving News Recommendation Model Learning. EMNLP (Findings) Tao Qi, Fangzhao Wu, Chuhan Wu, Yongfeng Huang, Xing Xie
2020	J	`jnl`	Privacy-Preserving News Recommendation Model Training via Federated Learning. CoRR Tao Qi, Fangzhao Wu, Chuhan Wu, Yongfeng Huang, Xing Xie
2020	—	`conf`	SentiRec: Sentiment Diversity-aware Neural News Recommendation. AACL/IJCNLP Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang
2020	A*	`conf`	User Modeling with Click Preference and Reading Satisfaction for News Recommendation. IJCAI Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang
2019	A	`conf`	ARP: Aspect-aware Neural Review Rating Prediction. CIKM Chuhan Wu, Fangzhao Wu, Junxin Liu, Yongfeng Huang, Xing Xie
2019	J	`jnl`	Automatic construction of target-specific sentiment lexicon. Expert Syst. Appl. Sixing Wu, Fangzhao Wu, Yue Chang, Chuhan Wu, Yongfeng Huang
2019	—	`conf`	Detecting and Extracting of Adverse Drug Reaction Mentioning Tweets with Multi-Head Self Attention. SMM4H@ACL Suyu Ge, Tao Qi, Chuhan Wu, Yongfeng Huang
2019	—	`conf`	Fast Neural Chinese Named Entity Recognition with Multi-head Self-attention. CCKS Tao Qi, Chuhan Wu, Fangzhao Wu, Suyu Ge, Junxin Liu, Yongfeng Huang, Xing Xie
2019	J	`jnl`	Helpfulness-aware review based neural recommendation. CCF Trans. Pervasive Comput. Interact. Suyu Ge, Tao Qi, Chuhan Wu, Fangzhao Wu, Xing Xie, Yongfeng Huang
2019	—	`conf`	Hierarchical User and Item Representation with Three-Tier Attention for Recommendation. NAACL-HLT (1) Chuhan Wu, Fangzhao Wu, Junxin Liu, Yongfeng Huang
2019	A*	`conf`	Incorporating Semantic Similarity with Geographic Correlation for Query-POI Relevance Learning. AAAI Ji Zhao, Dan Peng, Chuhan Wu, Huan Chen, Meiyu Yu, Wanji Zheng, Li Ma, Hua Chai, Jieping Ye, Xiaohu Qie
2019	J	`jnl`	Legends of Nature and Editors-in-chief. CoRR Zhiwen Hu, Chuhan Wu, Zhongliang Yang, Yongfeng Huang
2019	A	`conf`	MSA: Jointly Detecting Drug Name and Adverse Drug Reaction Mentioning Tweets with Multi-Head Self-Attention. WSDM Chuhan Wu, Fangzhao Wu, Zhigang Yuan, Junxin Liu, Yongfeng Huang, Xing Xie
2019	A	`conf`	NICE: Neural In-Hospital Cost Estimation from Medical Records. CIKM Chuhan Wu, Fangzhao Wu, Yongfeng Huang, Xing Xie
2019	A*	`conf`	NPA: Neural News Recommendation with Personalized Attention. KDD Chuhan Wu, Fangzhao Wu, Mingxiao An, Jianqiang Huang, Yongfeng Huang, Xing Xie
2019	J	`jnl`	NPA: Neural News Recommendation with Personalized Attention. CoRR Chuhan Wu, Fangzhao Wu, Mingxiao An, Jianqiang Huang, Yongfeng Huang, Xing Xie
2019	A*	`conf`	NRPA: Neural Recommendation with Personalized Attention. SIGIR Hongtao Liu, Fangzhao Wu, Wenjun Wang, Xianchen Wang, Pengfei Jiao, Chuhan Wu, Xing Xie
2019	J	`jnl`	NRPA: Neural Recommendation with Personalized Attention. CoRR Hongtao Liu, Fangzhao Wu, Wenjun Wang, Xianchen Wang, Pengfei Jiao, Chuhan Wu, Xing Xie
2019	A*	`conf`	Neural Chinese Named Entity Recognition via CNN-LSTM-CRF and Joint Training with Word Segmentation. WWW Fangzhao Wu, Junxin Liu, Chuhan Wu, Yongfeng Huang, Xing Xie
2019	J	`jnl`	Neural Chinese Named Entity Recognition via CNN-LSTM-CRF and Joint Training with Word Segmentation. CoRR Fangzhao Wu, Junxin Liu, Chuhan Wu, Yongfeng Huang, Xing Xie
2019	A*	`conf`	Neural Chinese Word Segmentation with Lexicon and Unlabeled Data via Posterior Regularization. WWW Junxin Liu, Fangzhao Wu, Chuhan Wu, Yongfeng Huang, Xing Xie
2019	J	`jnl`	Neural Chinese Word Segmentation with Lexicon and Unlabeled Data via Posterior Regularization. CoRR Junxin Liu, Fangzhao Wu, Chuhan Wu, Yongfeng Huang, Xing Xie
2019	J	`jnl`	Neural Chinese word segmentation with dictionary. Neurocomputing Junxin Liu, Fangzhao Wu, Chuhan Wu, Yongfeng Huang, Xing Xie
2019	A	`conf`	Neural Demographic Prediction using Search Query. WSDM Chuhan Wu, Fangzhao Wu, Junxin Liu, Shaojian He, Yongfeng Huang, Xing Xie
2019	—	`conf`	Neural Gender Prediction from News Browsing Data. CCL Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang, Xing Xie
2019	A	`conf`	Neural Gender Prediction in Microblogging with Emotion-aware User Representation. CIKM Chuhan Wu, Fangzhao Wu, Tao Qi, Junxin Liu, Yongfeng Huang, Xing Xie
2019	A*	`conf`	Neural News Recommendation with Attentive Multi-View Learning. IJCAI Chuhan Wu, Fangzhao Wu, Mingxiao An, Jianqiang Huang, Yongfeng Huang, Xing Xie
2019	J	`jnl`	Neural News Recommendation with Attentive Multi-View Learning. CoRR Chuhan Wu, Fangzhao Wu, Mingxiao An, Jianqiang Huang, Yongfeng Huang, Xing Xie
2019	—	`conf`	Neural News Recommendation with Heterogeneous User Behavior. EMNLP/IJCNLP (1) Chuhan Wu, Fangzhao Wu, Mingxiao An, Tao Qi, Jianqiang Huang, Yongfeng Huang, Xing Xie
2019	—	`conf`	Neural News Recommendation with Long- and Short-term User Representations. ACL (1) Mingxiao An, Fangzhao Wu, Chuhan Wu, Kun Zhang, Zheng Liu, Xing Xie
2019	—	`conf`	Neural News Recommendation with Multi-Head Self-Attention. EMNLP/IJCNLP (1) Chuhan Wu, Fangzhao Wu, Suyu Ge, Tao Qi, Yongfeng Huang, Xing Xie
2019	—	`conf`	Neural News Recommendation with Topic-Aware News Representation. ACL (1) Chuhan Wu, Fangzhao Wu, Mingxiao An, Yongfeng Huang, Xing Xie
2019	A	`conf`	Neural Review Rating Prediction with User and Product Memory. CIKM Zhigang Yuan, Fangzhao Wu, Junxin Liu, Chuhan Wu, Yongfeng Huang, Xing Xie
2019	—	`conf`	Reviews Meet Graphs: Enhancing User and Item Representations for Recommendation with Hierarchical Attentive Graph Neural Network. EMNLP/IJCNLP (1) Chuhan Wu, Fangzhao Wu, Tao Qi, Suyu Ge, Yongfeng Huang, Xing Xie
2019	J	`jnl`	Semi-supervised dimensional sentiment analysis with variational autoencoder. Knowl. Based Syst. Chuhan Wu, Fangzhao Wu, Sixing Wu, Zhigang Yuan, Junxin Liu, Yongfeng Huang
2019	A	`conf`	Sentiment Lexicon Enhanced Neural Sentiment Classification. CIKM Chuhan Wu, Fangzhao Wu, Junxin Liu, Yongfeng Huang, Xing Xie
2019	—	`conf`	THU_NGN at SemEval-2019 Task 12: Toponym Detection and Disambiguation on Scientific Papers. SemEval@NAACL-HLT Tao Qi, Suyu Ge, Chuhan Wu, Yubo Chen, Yongfeng Huang
2019	—	`conf`	THU_NGN at SemEval-2019 Task 3: Dialog Emotion Classification using Attentional LSTM-CNN. SemEval@NAACL-HLT Suyu Ge, Tao Qi, Chuhan Wu, Yongfeng Huang
2019	—	`conf`	Title-Aware Neural News Topic Prediction. CCL Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang, Xing Xie
2018	J	`jnl`	A hybrid unsupervised method for aspect term and opinion target extraction. Knowl. Based Syst. Chuhan Wu, Fangzhao Wu, Sixing Wu, Zhigang Yuan, Yongfeng Huang
2018	—	`conf`	Detecting Tweets Mentioning Drug Name and Adverse Drug Reaction with Hierarchical Tweet Representation and Multi-Head Self-Attention. SMM4H@EMNLP Chuhan Wu, Fangzhao Wu, Junxin Liu, Sixing Wu, Yongfeng Huang, Xing Xie
2018	—	`conf`	Distant Supervision for Relation Extraction with Neural Instance Selector. NLPCC (1) Yubo Chen, Hongtao Liu, Chuhan Wu, Zhigang Yuan, Minyu Jiang, Yongfeng Huang
2018	A	`conf`	Imbalanced Sentiment Classification with Multi-Task Learning. CIKM Fangzhao Wu, Chuhan Wu, Junxin Liu
2018	—	`conf`	Neural Chinese Word Segmentation with Dictionary Knowledge. NLPCC (2) Junxin Liu, Fangzhao Wu, Chuhan Wu, Yongfeng Huang, Xing Xie
2018	J	`jnl`	Neural Chinese Word Segmentation with Dictionary Knowledge. CoRR Junxin Liu, Fangzhao Wu, Chuhan Wu, Yongfeng Huang, Xing Xie
2018	—	`conf`	Neural Metaphor Detecting with CNN-LSTM Model. Fig-Lang@NAACL-HLT Chuhan Wu, Fangzhao Wu, Yubo Chen, Sixing Wu, Zhigang Yuan, Yongfeng Huang
2018	A*	`conf`	Neural Sentence-Level Sentiment Classification with Heterogeneous Supervision. ICDM Zhigang Yuan, Fangzhao Wu, Junxin Liu, Chuhan Wu, Yongfeng Huang, Xing Xie
2018	A	`conf`	Semi-Supervised Collaborative Learning for Social Spammer and Spam Message Detection in Microblogging. CIKM Fangzhao Wu, Chuhan Wu, Junxin Liu
2018	—	`conf`	THU_NGN at SemEval-2018 Task 10: Capturing Discriminative Attributes with MLP-CNN model. SemEval@NAACL-HLT Chuhan Wu, Fangzhao Wu, Sixing Wu, Zhigang Yuan, Yongfeng Huang
2018	—	`conf`	THU_NGN at SemEval-2018 Task 1: Fine-grained Tweet Sentiment Intensity Analysis with Attention CNN-LSTM. SemEval@NAACL-HLT Chuhan Wu, Fangzhao Wu, Junxin Liu, Zhigang Yuan, Sixing Wu, Yongfeng Huang
2018	—	`conf`	THU_NGN at SemEval-2018 Task 2: Residual CNN-LSTM Network with Attention for English Emoji Prediction. SemEval@NAACL-HLT Chuhan Wu, Fangzhao Wu, Sixing Wu, Zhigang Yuan, Junxin Liu, Yongfeng Huang
2018	—	`conf`	THU_NGN at SemEval-2018 Task 3: Tweet Irony Detection with Densely connected LSTM and Multi-task Learning. SemEval@NAACL-HLT Chuhan Wu, Fangzhao Wu, Sixing Wu, Junxin Liu, Zhigang Yuan, Yongfeng Huang
2018	—	`conf`	Tweet Emoji Prediction Using Hierarchical Model with Attention. UbiComp/ISWC Adjunct Chuhan Wu, Fangzhao Wu, Sixing Wu, Yongfeng Huang, Xing Xie
2017	—	`conf`	THU_NGN at IJCNLP-2017 Task 2: Dimensional Sentiment Analysis for Chinese Phrases with Deep LSTM. IJCNLP (Shared Tasks) Chuhan Wu, Fangzhao Wu, Yongfeng Huang, Sixing Wu, Zhigang Yuan