Fangzhao Wu - RankMe

217 papers A* 47A 17Journal 105Unranked 48

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Survey on Federated Recommendation Systems. IEEE Trans. Neural Networks Learn. Syst. Zehua Sun, Yonghui Xu, Yong Liu, Wei He, Lanju Kong, Fangzhao Wu, Yali Jiang, Lizhen Cui
2025	—	`conf`	Benchmarking and Defending against Indirect Prompt Injection Attacks on Large Language Models. KDD (1) Jingwei Yi, Yueqi Xie, Bin Zhu, Emre Kiciman, Guangzhong Sun, Xing Xie, Fangzhao Wu
2025	—	`conf`	Defending against Indirect Prompt Injection by Instruction Detection. EMNLP (Findings) Tongyu Wen, Chenglong Wang, Xiyuan Yang, Haoyu Tang, Yueqi Xie, Lingjuan Lyu, Zhicheng Dou, Fangzhao Wu
2025	J	`jnl`	Defending against Indirect Prompt Injection by Instruction Detection. CoRR Tongyu Wen, Chenglong Wang, Xiyuan Yang, Haoyu Tang, Yueqi Xie, Lingjuan Lyu, Zhicheng Dou, Fangzhao Wu
2025	J	`jnl`	Uncovering inequalities in new knowledge learning by large language models across different languages. CoRR Chenglong Wang, Haoyu Tang, Xiyuan Yang, Yueqi Xie, Jina Suh, Sunayana Sitaram, Junming Huang, Yu Xie, Zhaoya Gong, Xing Xie, Fangzhao Wu
2024	J	`jnl`	Measuring Human Contribution in AI-Assisted Content Generation. CoRR Yueqi Xie, Tao Qi, Jingwei Yi, Ryan Whalen, Junming Huang, Qian Ding, Yu Xie, Xing Xie, Fangzhao Wu
2024	—	`conf`	On the Vulnerability of Safety Alignment in Open-Access LLMs. ACL (Findings) Jingwei Yi, Rui Ye, Qisi Chen, Bin Zhu, Siheng Chen, Defu Lian, Guangzhong Sun, Xing Xie, Fangzhao Wu
2024	J	`jnl`	Uncovering Safety Risks in Open-source LLMs through Concept Activation Vector. CoRR Zhihao Xu, Ruixuan Huang, Xiting Wang, Fangzhao Wu, Jing Yao, Xing Xie
2023	J	`jnl`	A Survey on Federated Recommendation Systems. CoRR Zehua Sun, Yonghui Xu, Yong Liu, Wei He, Lanju Kong, Yali Jiang, Fangzhao Wu, Lizhen Cui
2023	—	`conf`	Are You Copying My Model? Protecting the Copyright of Large Language Models for EaaS via Backdoor Watermark. ACL (1) Wenjun Peng, Jingwei Yi, Fangzhao Wu, Shangxi Wu, Bin Zhu, Lingjuan Lyu, Binxing Jiao, Tong Xu, Guangzhong Sun, Xing Xie
2023	J	`jnl`	Are You Copying My Model? Protecting the Copyright of Large Language Models for EaaS via Backdoor Watermark. CoRR Wenjun Peng, Jingwei Yi, Fangzhao Wu, Shangxi Wu, Bin Zhu, Lingjuan Lyu, Binxing Jiao, Tong Xu, Guangzhong Sun, Xing Xie
2023	J	`jnl`	Backdoor for Debias: Mitigating Model Bias with Backdoor Attack-based Artificial Bias. CoRR Shangxi Wu, Qiuyang He, Fangzhao Wu, Jitao Sang, Yaowei Wang, Changsheng Xu
2023	J	`jnl`	Benchmarking and Defending Against Indirect Prompt Injection Attacks on Large Language Models. CoRR Jingwei Yi, Yueqi Xie, Bin Zhu, Keegan Hines, Emre Kiciman, Guangzhong Sun, Xing Xie, Fangzhao Wu
2023	A*	`conf`	Byzantine-Robust Learning on Heterogeneous Data via Gradient Splitting. ICML Yuchen Liu, Chen Chen, Lingjuan Lyu, Fangzhao Wu, Sai Wu, Gang Chen
2023	J	`jnl`	Defending ChatGPT against jailbreak attack via self-reminders. Nat. Mac. Intell. Yueqi Xie, Jingwei Yi, Jiawei Shao, Justin Curl, Lingjuan Lyu, Qifeng Chen, Xing Xie, Fangzhao Wu
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	A*	`conf`	FedDefender: Client-Side Attack-Tolerant Federated Learning. KDD Sungwon Park, Sungwon Han, Fangzhao Wu, Sundong Kim, Bin Zhu, Xing Xie, Meeyoung Cha
2023	J	`jnl`	FedDefender: Client-Side Attack-Tolerant Federated Learning. CoRR Sungwon Park, Sungwon Han, Fangzhao Wu, Sundong Kim, Bin Zhu, Xing Xie, Meeyoung Cha
2023	A*	`conf`	FedSampling: A Better Sampling Strategy for Federated Learning. IJCAI Tao Qi, Fangzhao Wu, Lingjuan Lyu, Yongfeng Huang, Xing Xie
2023	J	`jnl`	FedSampling: A Better Sampling Strategy for Federated Learning. CoRR Tao Qi, Fangzhao Wu, Lingjuan Lyu, Yongfeng Huang, Xing Xie
2023	A	`conf`	Federated Unlearning for On-Device Recommendation. WSDM Wei Yuan, Hongzhi Yin, Fangzhao Wu, Shijie Zhang, Tieke He, Hao Wang
2023	J	`jnl`	GAIN: Enhancing Byzantine Robustness in Federated Learning with Gradient Decomposition. CoRR Yuchen Liu, Chen Chen, Lingjuan Lyu, Fangzhao Wu, Sai Wu, Gang Chen
2023	A	`conf`	Non-IID always Bad? Semi-Supervised Heterogeneous Federated Learning with Local Knowledge Enhancement. CIKM Chao Zhang, Fangzhao Wu, Jingwei Yi, Derong Xu, Yang Yu, Jindong Wang, Yidong Wang, Tong Xu, Xing Xie, Enhong Chen
2023	A*	`conf`	Personalized Federated Learning with Inferred Collaboration Graphs. ICML Rui Ye, Zhenyang Ni, Fangzhao Wu, Siheng Chen, Yanfeng Wang
2023	J	`jnl`	Personalized News Recommendation: Methods and Challenges. ACM Trans. Inf. Syst. Chuhan Wu, Fangzhao Wu, Yongfeng Huang, Xing Xie
2023	A	`conf`	Rethinking Multi-Interest Learning for Candidate Matching in Recommender Systems. RecSys Yueqi Xie, Jingqi Gao, Peilin Zhou, Qichen Ye, Yining Hua, Jae Boum Kim, Fangzhao Wu, Sunghun Kim
2023	J	`jnl`	Rethinking Multi-Interest Learning for Candidate Matching in Recommender Systems. CoRR Yueqi Xie, Jingqi Gao, Peilin Zhou, Qichen Ye, Yining Hua, Jaeboum Kim, Fangzhao Wu, Sunghun Kim
2023	J	`jnl`	Selective Knowledge Sharing for Privacy-Preserving Federated Distillation without A Good Teacher. CoRR Jiawei Shao, Fangzhao Wu, Jun Zhang
2023	A*	`conf`	Towards Attack-tolerant Federated Learning via Critical Parameter Analysis. ICCV Sungwon Han, Sungwon Park, Fangzhao Wu, Sundong Kim, Bin Zhu, Xing Xie, Meeyoung Cha
2023	J	`jnl`	Towards Attack-tolerant Federated Learning via Critical Parameter Analysis. CoRR Sungwon Han, Sungwon Park, Fangzhao Wu, Sundong Kim, Bin Zhu, Xing Xie, Meeyoung Cha
2023	A*	`conf`	UA-FedRec: Untargeted Attack on Federated News Recommendation. KDD Jingwei Yi, Fangzhao Wu, Bin Zhu, Jing Yao, Zhulin Tao, Guangzhong Sun, Xing Xie
2022	J	`jnl`	Are Big Recommendation Models Fair to Cold Users? CoRR Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang
2022	A*	`conf`	CATER: Intellectual Property Protection on Text Generation APIs via Conditional Watermarks. NeurIPS Xuanli He, Qiongkai Xu, Yi Zeng, Lingjuan Lyu, Fangzhao Wu, Jiwei Li, Ruoxi Jia
2022	J	`jnl`	CATER: Intellectual Property Protection on Text Generation APIs via Conditional Watermarks. CoRR Xuanli He, Qiongkai Xu, Yi Zeng, Lingjuan Lyu, Fangzhao Wu, Jiwei Li, Ruoxi Jia
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	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	J	`jnl`	Federated Unlearning for On-Device Recommendation. CoRR Wei Yuan, Hongzhi Yin, Fangzhao Wu, Shijie Zhang, Tieke He, Hao Wang
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	A*	`conf`	Personalized Chit-Chat Generation for Recommendation Using External Chat Corpora. KDD Changyu Chen, Xiting Wang, Xiaoyuan Yi, Fangzhao Wu, Xing Xie, Rui Yan
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	A*	`conf`	Protecting Intellectual Property of Language Generation APIs with Lexical Watermark. AAAI Xuanli He, Qiongkai Xu, Lingjuan Lyu, Fangzhao Wu, Chenguang Wang
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`	Robust Federated Learning against both Data Heterogeneity and Poisoning Attack via Aggregation Optimization. CoRR Yueqi Xie, Weizhong Zhang, Renjie Pi, Fangzhao Wu, Qifeng Chen, Xing Xie, Sunghun Kim
2022	J	`jnl`	Robust Quantity-Aware Aggregation for Federated Learning. CoRR Jingwei Yi, Fangzhao Wu, Huishuai Zhang, Bin Zhu, Tao Qi, Guangzhong Sun, Xing Xie
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	A*	`conf`	Training Large-Scale News Recommenders with Pretrained Language Models in the Loop. KDD Shitao Xiao, Zheng Liu, Yingxia Shao, Tao Di, Bhuvan Middha, Fangzhao Wu, Xing Xie
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`	Two-Stage Neural Contextual Bandits for Personalised News Recommendation. CoRR Mengyan Zhang, Thanh Nguyen-Tang, Fangzhao Wu, Zhenyu He, Xing Xie, Cheng Soon Ong
2022	J	`jnl`	UA-FedRec: Untargeted Attack on Federated News Recommendation. CoRR Jingwei Yi, Fangzhao Wu, Bin Zhu, Yang Yu, Chao Zhang, Guangzhong Sun, Xing Xie
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`	Is News Recommendation a Sequential Recommendation Task? CoRR Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang
2021	A*	`conf`	Joint Knowledge Pruning and Recurrent Graph Convolution for News Recommendation. SIGIR Yu Tian, Yuhao Yang, Xudong Ren, Pengfei Wang, Fangzhao Wu, Qian Wang, Chenliang Li
2021	J	`jnl`	Killing Two Birds with One Stone: Stealing Model and Inferring Attribute from BERT-based APIs. CoRR Lingjuan Lyu, Xuanli He, Fangzhao Wu, Lichao Sun
2021	J	`jnl`	MM-Rec: Multimodal News Recommendation. CoRR Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang
2021	J	`jnl`	Multilevel Image-Enhanced Sentence Representation Net for Natural Language Inference. IEEE Trans. Syst. Man Cybern. Syst. Kun Zhang, Guangyi Lv, Le Wu, Enhong Chen, Qi Liu, Han Wu, Xing Xie, Fangzhao Wu
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`	Protecting Intellectual Property of Language Generation APIs with Lexical Watermark. CoRR Xuanli He, Qiongkai Xu, Lingjuan Lyu, Fangzhao Wu, Chenguang Wang
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`	Toward Comprehensive User and Item Representations via Three-tier Attention Network. ACM Trans. Inf. Syst. Hongtao Liu, Wenjun Wang, Qiyao Peng, Nannan Wu, Fangzhao Wu, Pengfei Jiao
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`	A Multi-Task Learning Neural Network for Emotion-Cause Pair Extraction. ECAI Sixing Wu, Fang Chen, Fangzhao Wu, Yongfeng Huang, Xing Li
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`	Fine-grained Interest Matching for Neural News Recommendation. ACL Heyuan Wang, Fangzhao Wu, Zheng Liu, 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`	Hybrid neural recommendation with joint deep representation learning of ratings and reviews. Neurocomputing Hongtao Liu, Yian Wang, Qiyao Peng, Fangzhao Wu, Lin Gan, Lin Pan, Pengfei Jiao
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 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`	Aspect-based sentiment analysis via fusing multiple sources of textual knowledge. Knowl. Based Syst. Sixing Wu, Yuanfan Xu, Fangzhao Wu, Zhigang Yuan, Yongfeng Huang, Xing Li
2019	J	`jnl`	Automatic construction of target-specific sentiment lexicon. Expert Syst. Appl. Sixing Wu, Fangzhao Wu, Yue Chang, Chuhan Wu, Yongfeng Huang
2019	A*	`conf`	DRr-Net: Dynamic Re-Read Network for Sentence Semantic Matching. AAAI Kun Zhang, Guangyi Lv, Linyuan Wang, Le Wu, Enhong Chen, Fangzhao Wu, Xing Xie
2019	—	`conf`	Exploring Sequence-to-Sequence Learning in Aspect Term Extraction. ACL (1) Dehong Ma, Sujian Li, Fangzhao Wu, Xing Xie, Houfeng Wang
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	A*	`conf`	Hi-Fi Ark: Deep User Representation via High-Fidelity Archive Network. IJCAI Zheng Liu, Yu Xing, Fangzhao Wu, Mingxiao An, Xing Xie
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	J	`jnl`	Logic Rules Powered Knowledge Graph Embedding. CoRR Pengwei Wang, Dejing Dou, Fangzhao Wu, Nisansa de Silva, Lianwen Jin
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	—	`conf`	Neural CTR Prediction for Native Ad. CCL Mingxiao An, Fangzhao Wu, Heyuan Wang, Tao Di, Jianqiang Huang, 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	—	`conf`	Neural Review Rating Prediction with Hierarchical Attentions and Latent Factors. DASFAA (3) Xianchen Wang, Hongtao Liu, Peiyi Wang, Fangzhao Wu, Hongyan Xu, Wenjun Wang, Xing Xie
2019	J	`jnl`	Neural Review Rating Prediction with Hierarchical Attentions and Latent Factors. CoRR Xianchen Wang, Hongtao Liu, Peiyi Wang, Fangzhao Wu, Hongyan Xu, Wenjun Wang, 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`	REET: Joint Relation Extraction and Entity Typing via Multi-task Learning. NLPCC (1) Hongtao Liu, Peiyi Wang, Fangzhao Wu, Pengfei Jiao, Wenjun Wang, Xing Xie, Yueheng Sun
2019	—	`conf`	REKA: Relation Extraction with Knowledge-Aware Attention. CCKS Peiyi Wang, Hongtao Liu, Fangzhao Wu, Jinduo Song, Hongyan Xu, Wenjun Wang
2019	—	`conf`	REKER: Relation Extraction with Knowledge of Entity and Relation. NLPCC (2) Hongtao Liu, Yian Wang, Fangzhao Wu, Pengfei Jiao, Hongyan Xu, 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`	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	J	`jnl`	Domain attention model for multi-domain sentiment classification. Knowl. Based Syst. Zhigang Yuan, Sixing Wu, Fangzhao Wu, Junxin Liu, Yongfeng Huang
2018	A*	`conf`	Image-Enhanced Multi-level Sentence Representation Net for Natural Language Inference. ICDM Kun Zhang, Guangyi Lv, Le Wu, Enhong Chen, Qi Liu, Han Wu, Fangzhao Wu
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	J	`jnl`	Skeptical Deep Learning with Distribution Correction. CoRR Mingxiao An, Yongzhou Chen, Qi Liu, Chuanren Liu, Guangyi Lv, Fangzhao Wu, Jianhui Ma
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`	Active Sentiment Domain Adaptation. ACL (1) Fangzhao Wu, Yongfeng Huang, Jun Yan
2017	J	`jnl`	Collaboratively Training Sentiment Classifiers for Multiple Domains. IEEE Trans. Knowl. Data Eng. Fangzhao Wu, Zhigang Yuan, Yongfeng Huang
2017	J	`jnl`	Domain-specific sentiment classification via fusing sentiment knowledge from multiple sources. Inf. Fusion Fangzhao Wu, Yongfeng Huang, Zhigang Yuan
2017	A*	`conf`	Sentence-level Sentiment Classification with Weak Supervision. SIGIR Fangzhao Wu, Jia Zhang, Zhigang Yuan, Sixing Wu, Yongfeng Huang, Jun Yan
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
2016	J	`jnl`	Co-detecting social spammers and spam messages in microblogging via exploiting social contexts. Neurocomputing Fangzhao Wu, Jinyun Shu, Yongfeng Huang, Zhigang Yuan
2016	J	`jnl`	Microblog sentiment classification with heterogeneous sentiment knowledge. Inf. Sci. Fangzhao Wu, Yangqiu Song, Yongfeng Huang, M. Rosario Suárez
2016	A*	`conf`	Personalized Microblog Sentiment Classification via Multi-Task Learning. AAAI Fangzhao Wu, Yongfeng Huang
2016	A	`conf`	Sentiment Domain Adaptation with Multi-Level Contextual Sentiment Knowledge. CIKM Fangzhao Wu, Sixing Wu, Yongfeng Huang, Songfang Huang, Yong Qin
2016	—	`conf`	Sentiment Domain Adaptation with Multiple Sources. ACL (1) Fangzhao Wu, Yongfeng Huang
2016	J	`jnl`	Structured microblog sentiment classification via social context regularization. Neurocomputing Fangzhao Wu, Yongfeng Huang, Yangqiu Song
2016	J	`jnl`	Towards building a high-quality microblog-specific Chinese sentiment lexicon. Decis. Support Syst. Fangzhao Wu, Yongfeng Huang, Yangqiu Song, Shixia Liu
2015	A*	`conf`	Collaborative Multi-domain Sentiment Classification. ICDM Fangzhao Wu, Yongfeng Huang
2015	A*	`conf`	Microblog Sentiment Classification with Contextual Knowledge Regularization. AAAI Fangzhao Wu, Yangqiu Song, Yongfeng Huang
2015	A	`conf`	Social Spammer and Spam Message Co-Detection in Microblogging with Social Context Regularization. CIKM Fangzhao Wu, Jinyun Shu, Yongfeng Huang, Zhigang Yuan
2014	J	`jnl`	OpinionFlow: Visual Analysis of Opinion Diffusion on Social Media. IEEE Trans. Vis. Comput. Graph. Yingcai Wu, Shixia Liu, Kai Yan, Mengchen Liu, Fangzhao Wu
2014	A	`conf`	Ranking Optimization with Constraints. CIKM Fangzhao Wu, Jun Xu, Hang Li, Xin Jiang
2013	A	`conf`	Lead-lag analysis via sparse co-projection in correlated text streams. CIKM Fangzhao Wu, Yangqiu Song, Shixia Liu, Yongfeng Huang, Zhenyu Liu
2013	—	`conf`	Review rating prediction based on the content and weighting strong social relation of reviewers. UnstructureNLP@CIKM Bing-kun Wang, Yulin Min, Yongfeng Huang, Xing Li, Fangzhao Wu