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2020 – today
- 2024
[c110]Jingwei Yi, Rui Ye, Qisi Chen, Bin Zhu, Siheng Chen, Defu Lian, Guangzhong Sun, Xing Xie, Fangzhao Wu:
On the Vulnerability of Safety Alignment in Open-Access LLMs. ACL (Findings) 2024: 9236-9260- [i80]Zhihao Xu, Ruixuan Huang, Xiting Wang, Fangzhao Wu, Jing Yao, Xing Xie:
Uncovering Safety Risks in Open-source LLMs through Concept Activation Vector. CoRR abs/2404.12038 (2024) - [i79]Yueqi Xie, Tao Qi, Jingwei Yi, Ryan Whalen, Junming Huang, Qian Ding, Yu Xie, Xing Xie, Fangzhao Wu:
Measuring Human Contribution in AI-Assisted Content Generation. CoRR abs/2408.14792 (2024) - 2023
- [j22]Yueqi Xie
, Jingwei Yi, Jiawei Shao, Justin Curl, Lingjuan Lyu, Qifeng Chen, Xing Xie, Fangzhao Wu:
Defending ChatGPT against jailbreak attack via self-reminders. Nat. Mac. Intell. 5(12): 1486-1496 (2023) - [j21]Chuhan Wu, Fangzhao Wu, Yongfeng Huang, Xing Xie:
Personalized News Recommendation: Methods and Challenges. ACM Trans. Inf. Syst. 41(1): 24:1-24:50 (2023) - [c109]Wenjun Peng, Jingwei Yi, Fangzhao Wu, Shangxi Wu, Bin Zhu, Lingjuan Lyu, Binxing Jiao, Tong Xu, Guangzhong Sun, Xing Xie:
Are You Copying My Model? Protecting the Copyright of Large Language Models for EaaS via Backdoor Watermark. ACL (1) 2023: 7653-7668 - [c108]Chao Zhang, Fangzhao Wu, Jingwei Yi, Derong Xu, Yang Yu, Jindong Wang, Yidong Wang, Tong Xu, Xing Xie, Enhong Chen:
Non-IID always Bad? Semi-Supervised Heterogeneous Federated Learning with Local Knowledge Enhancement. CIKM 2023: 3257-3267 - [c107]Sungwon Han, Sungwon Park, Fangzhao Wu, Sundong Kim, Bin Zhu, Xing Xie, Meeyoung Cha:
Towards Attack-tolerant Federated Learning via Critical Parameter Analysis. ICCV 2023: 4976-4985 - [c106]Yuchen Liu, Chen Chen, Lingjuan Lyu, Fangzhao Wu, Sai Wu, Gang Chen:
Byzantine-Robust Learning on Heterogeneous Data via Gradient Splitting. ICML 2023: 21404-21425 - [c105]Rui Ye, Zhenyang Ni, Fangzhao Wu, Siheng Chen, Yanfeng Wang:
Personalized Federated Learning with Inferred Collaboration Graphs. ICML 2023: 39801-39817 - [c104]Tao Qi, Fangzhao Wu, Lingjuan Lyu, Yongfeng Huang, Xing Xie:
FedSampling: A Better Sampling Strategy for Federated Learning. IJCAI 2023: 4154-4162 - [c103]Sungwon Park, Sungwon Han, Fangzhao Wu, Sundong Kim, Bin Zhu, Xing Xie, Meeyoung Cha:
FedDefender: Client-Side Attack-Tolerant Federated Learning. KDD 2023: 1850-1861 - [c102]Jingwei Yi, Fangzhao Wu, Bin Zhu, Jing Yao, Zhulin Tao, Guangzhong Sun, Xing Xie:
UA-FedRec: Untargeted Attack on Federated News Recommendation. KDD 2023: 5428-5438 - [c101]Yueqi Xie, Jingqi Gao, Peilin Zhou, Qichen Ye, Yining Hua, Jae Boum Kim, Fangzhao Wu, Sunghun Kim:
Rethinking Multi-Interest Learning for Candidate Matching in Recommender Systems. RecSys 2023: 283-293 - [c100]Wei Yuan, Hongzhi Yin, Fangzhao Wu, Shijie Zhang, Tieke He, Hao Wang:
Federated Unlearning for On-Device Recommendation. WSDM 2023: 393-401 - [c99]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: 3766-3774 - [i78]Zehua Sun, Yonghui Xu, Yong Liu, Wei He, Yali Jiang, Fangzhao Wu, Lizhen Cui:
A Survey on Federated Recommendation Systems. CoRR abs/2301.00767 (2023) - [i77]Yuchen Liu, Chen Chen, Lingjuan Lyu, Fangzhao Wu, Sai Wu, Gang Chen:
GAIN: Enhancing Byzantine Robustness in Federated Learning with Gradient Decomposition. CoRR abs/2302.06079 (2023) - [i76]Yueqi Xie, Jingqi Gao, Peilin Zhou, Qichen Ye, Yining Hua, Jaeboum Kim, Fangzhao Wu, Sunghun Kim:
Rethinking Multi-Interest Learning for Candidate Matching in Recommender Systems. CoRR abs/2302.14532 (2023) - [i75]Shangxi Wu, Qiuyang He, Fangzhao Wu, Jitao Sang, Yaowei Wang, Changsheng Xu:
Backdoor for Debias: Mitigating Model Bias with Backdoor Attack-based Artificial Bias. CoRR abs/2303.01504 (2023) - [i74]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 abs/2303.08403 (2023) - [i73]Jiawei Shao, Fangzhao Wu, Jun Zhang:
Selective Knowledge Sharing for Privacy-Preserving Federated Distillation without A Good Teacher. CoRR abs/2304.01731 (2023) - [i72]Wenjun Peng, Jingwei Yi, Fangzhao Wu, Shangxi Wu, Bin Zhu, Lingjuan Lyu, Binxing Jiao, Tong Xu, Guangzhong Sun, Xing Xie:
Are You Copying My Model? Protecting the Copyright of Large Language Models for EaaS via Backdoor Watermark. CoRR abs/2305.10036 (2023) - [i71]Tao Qi, Fangzhao Wu, Lingjuan Lyu, Yongfeng Huang, Xing Xie:
FedSampling: A Better Sampling Strategy for Federated Learning. CoRR abs/2306.14245 (2023) - [i70]Sungwon Park, Sungwon Han, Fangzhao Wu, Sundong Kim, Bin Zhu, Xing Xie, Meeyoung Cha:
FedDefender: Client-Side Attack-Tolerant Federated Learning. CoRR abs/2307.09048 (2023) - [i69]Sungwon Han, Sungwon Park, Fangzhao Wu, Sundong Kim, Bin Zhu, Xing Xie, Meeyoung Cha:
Towards Attack-tolerant Federated Learning via Critical Parameter Analysis. CoRR abs/2308.09318 (2023) - [i68]Jingwei Yi, Yueqi Xie, Bin Zhu, Keegan Hines, Emre Kiciman, Guangzhong Sun, Xing Xie, Fangzhao Wu:
Benchmarking and Defending Against Indirect Prompt Injection Attacks on Large Language Models. CoRR abs/2312.14197 (2023) - 2022
- [j20]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): 62:1-62:19 (2022) - [c98]Xuanli He, Qiongkai Xu, Lingjuan Lyu, Fangzhao Wu, Chenguang Wang:
Protecting Intellectual Property of Language Generation APIs with Lexical Watermark. AAAI 2022: 10758-10766 - [c97]Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang:
NoisyTune: A Little Noise Can Help You Finetune Pretrained Language Models Better. ACL (2) 2022: 680-685 - [c96]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: 3474-3480 - [c95]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: 691-707 - [c94]Chuhan Wu, Fangzhao Wu, Xiangnan He, Yongfeng Huang:
DebiasGAN: Eliminating Position Bias in News Recommendation with Adversarial Learning. EMNLP (Findings) 2022: 2933-2938 - [c93]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: 3035-3046 - [c92]Yang Yu, Fangzhao Wu, Chuhan Wu, Jingwei Yi, Qi Liu:
Tiny-NewsRec: Effective and Efficient PLM-based News Recommendation. EMNLP 2022: 5478-5489 - [c91]Chuhan Wu, Fangzhao Wu, Yongfeng Huang:
Rethinking InfoNCE: How Many Negative Samples Do You Need? IJCAI 2022: 2509-2515 - [c90]Changyu Chen, Xiting Wang, Xiaoyuan Yi, Fangzhao Wu, Xing Xie, Rui Yan:
Personalized Chit-Chat Generation for Recommendation Using External Chat Corpora. KDD 2022: 2721-2731 - [c89]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: 3398-3406 - [c88]Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang, Xing Xie:
FedAttack: Effective and Covert Poisoning Attack on Federated Recommendation via Hard Sampling. KDD 2022: 4164-4172 - [c87]Shitao Xiao, Zheng Liu, Yingxia Shao, Tao Di, Bhuvan Middha, Fangzhao Wu, Xing Xie:
Training Large-Scale News Recommenders with Pretrained Language Models in the Loop. KDD 2022: 4215-4225 - [c86]Xuanli He, Qiongkai Xu, Yi Zeng, Lingjuan Lyu, Fangzhao Wu, Jiwei Li, Ruoxi Jia:
CATER: Intellectual Property Protection on Text Generation APIs via Conditional Watermarks. NeurIPS 2022 - [c85]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 - [c84]Tao Qi, Fangzhao Wu, Chuhan Wu, Peijie Sun, Le Wu, Xiting Wang, Yongfeng Huang, Xing Xie:
ProFairRec: Provider Fairness-aware News Recommendation. SIGIR 2022: 1164-1173 - [c83]Tao Qi, Fangzhao Wu, Chuhan Wu, Yongfeng Huang:
News Recommendation with Candidate-aware User Modeling. SIGIR 2022: 1917-1921 - [c82]Tao Qi, Fangzhao Wu, Chuhan Wu, Yongfeng Huang:
FUM: Fine-grained and Fast User Modeling for News Recommendation. SIGIR 2022: 1974-1978 - [c81]Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang:
UserBERT: Pre-training User Model with Contrastive Self-supervision. SIGIR 2022: 2087-2092 - [c80]Chuhan Wu, Fangzhao Wu, Tao Qi, Chenliang Li, Yongfeng Huang:
Is News Recommendation a Sequential Recommendation Task? SIGIR 2022: 2382-2386 - [c79]Chuhan Wu, Fangzhao Wu, Tao Qi, Chao Zhang, Yongfeng Huang, Tong Xu:
MM-Rec: Visiolinguistic Model Empowered Multimodal News Recommendation. SIGIR 2022: 2560-2564 - [c78]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: 2088-2097 - [i67]Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang, Xing Xie:
FedAttack: Effective and Covert Poisoning Attack on Federated Recommendation via Hard Sampling. CoRR abs/2202.04975 (2022) - [i66]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 abs/2202.05139 (2022) - [i65]Jingwei Yi, Fangzhao Wu, Bin Zhu, Yang Yu, Chao Zhang, Guangzhong Sun, Xing Xie:
UA-FedRec: Untargeted Attack on Federated News Recommendation. CoRR abs/2202.06701 (2022) - [i64]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 abs/2202.08036 (2022) - [i63]Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang, Xing Xie:
NoisyTune: A Little Noise Can Help You Finetune Pretrained Language Models Better. CoRR abs/2202.12024 (2022) - [i62]Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang:
Quality-aware News Recommendation. CoRR abs/2202.13605 (2022) - [i61]Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang:
Are Big Recommendation Models Fair to Cold Users? CoRR abs/2202.13607 (2022) - [i60]Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang:
Semi-FairVAE: Semi-supervised Fair Representation Learning with Adversarial Variational Autoencoder. CoRR abs/2204.00536 (2022) - [i59]Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang:
End-to-end Learnable Diversity-aware News Recommendation. CoRR abs/2204.00539 (2022) - [i58]Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang:
FairRank: Fairness-aware Single-tower Ranking Framework for News Recommendation. CoRR abs/2204.00541 (2022) - [i57]Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang:
Unified and Effective Ensemble Knowledge Distillation. CoRR abs/2204.00548 (2022) - [i56]Tao Qi, Fangzhao Wu, Chuhan Wu, Peijie Sun, Le Wu, Xiting Wang, Yongfeng Huang, Xing Xie:
ProFairRec: Provider Fairness-aware News Recommendation. CoRR abs/2204.04724 (2022) - [i55]Tao Qi, Fangzhao Wu, Chuhan Wu, Yongfeng Huang:
News Recommendation with Candidate-aware User Modeling. CoRR abs/2204.04726 (2022) - [i54]Tao Qi, Fangzhao Wu, Chuhan Wu, Yongfeng Huang:
FUM: Fine-grained and Fast User Modeling for News Recommendation. CoRR abs/2204.04727 (2022) - [i53]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 abs/2204.08146 (2022) - [i52]Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang, Xing Xie:
FedCL: Federated Contrastive Learning for Privacy-Preserving Recommendation. CoRR abs/2204.09850 (2022) - [i51]Jingwei Yi, Fangzhao Wu, Huishuai Zhang, Bin Zhu, Tao Qi, Guangzhong Sun, Xing Xie:
Robust Quantity-Aware Aggregation for Federated Learning. CoRR abs/2205.10848 (2022) - [i50]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 abs/2206.03200 (2022) - [i49]Mengyan Zhang, Thanh Nguyen-Tang, Fangzhao Wu, Zhenyu He, Xing Xie, Cheng Soon Ong:
Two-Stage Neural Contextual Bandits for Personalised News Recommendation. CoRR abs/2206.14648 (2022) - [i48]Sungwon Han, Sungwon Park, Fangzhao Wu, Sundong Kim, Chuhan Wu, Xing Xie, Meeyoung Cha:
FedX: Unsupervised Federated Learning with Cross Knowledge Distillation. CoRR abs/2207.09158 (2022) - [i47]Xuanli He, Qiongkai Xu, Yi Zeng, Lingjuan Lyu, Fangzhao Wu, Jiwei Li, Ruoxi Jia:
CATER: Intellectual Property Protection on Text Generation APIs via Conditional Watermarks. CoRR abs/2209.08773 (2022) - [i46]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 abs/2210.08809 (2022) - [i45]Wei Yuan, Hongzhi Yin, Fangzhao Wu, Shijie Zhang, Tieke He, Hao Wang:
Federated Unlearning for On-Device Recommendation. CoRR abs/2210.10958 (2022) - [i44]Yueqi Xie, Weizhong Zhang, Renjie Pi, Fangzhao Wu, Qifeng Chen, Xing Xie, Sunghun Kim:
Robust Federated Learning against both Data Heterogeneity and Poisoning Attack via Aggregation Optimization. CoRR abs/2211.05554 (2022) - 2021
- [j19]Hongtao Liu, Wenjun Wang, Qiyao Peng, Nannan Wu, Fangzhao Wu, Pengfei Jiao:
Toward Comprehensive User and Item Representations via Three-tier Attention Network. ACM Trans. Inf. Syst. 39(3): 25:1-25:22 (2021) - [j18]Kun Zhang, Guangyi Lv, Le Wu, Enhong Chen, Qi Liu, Han Wu, Xing Xie, Fangzhao Wu:
Multilevel Image-Enhanced Sentence Representation Net for Natural Language Inference. IEEE Trans. Syst. Man Cybern. Syst. 51(6): 3781-3795 (2021) - [c77]Chuhan Wu, Fangzhao Wu, Xiting Wang, Yongfeng Huang, Xing Xie:
Fairness-aware News Recommendation with Decomposed Adversarial Learning. AAAI 2021: 4462-4469 - [c76]Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang:
Hi-Transformer: Hierarchical Interactive Transformer for Efficient and Effective Long Document Modeling. ACL/IJCNLP (2) 2021: 848-853 - [c75]Chuhan Wu, Fangzhao Wu, Yongfeng Huang:
One Teacher is Enough? Pre-trained Language Model Distillation from Multiple Teachers. ACL/IJCNLP (Findings) 2021: 4408-4413 - [c74]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: 5446-5456 - [c73]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: 5457-5467 - [c72]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: 1438-1448 - [c71]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: 2814-2824 - [c70]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: 3285-3295 - [c69]Chuhan Wu, Fangzhao Wu, Yongfeng Huang, Xing Xie:
User-as-Graph: User Modeling with Heterogeneous Graph Pooling for News Recommendation. IJCAI 2021: 1624-1630 - [c68]Chuhan Wu, Fangzhao Wu, Yongfeng Huang:
DA-Transformer: Distance-aware Transformer. NAACL-HLT 2021: 2059-2068 - [c67]Yu Tian, Yuhao Yang, Xudong Ren, Pengfei Wang, Fangzhao Wu, Qian Wang, Chenliang Li:
Joint Knowledge Pruning and Recurrent Graph Convolution for News Recommendation. SIGIR 2021: 51-60 - [c66]Tao Qi, Fangzhao Wu, Chuhan Wu, Yongfeng Huang:
Personalized News Recommendation with Knowledge-aware Interactive Matching. SIGIR 2021: 61-70 - [c65]Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang:
Empowering News Recommendation with Pre-trained Language Models. SIGIR 2021: 1652-1656 - [i43]Chuhan Wu, Fangzhao Wu, Yongfeng Huang, Xing Xie:
Neural News Recommendation with Negative Feedback. CoRR abs/2101.04328 (2021) - [i42]Chuhan Wu, Fangzhao Wu, Yang Yu, Tao Qi, Yongfeng Huang, Qi Liu:
NewsBERT: Distilling Pre-trained Language Model for Intelligent News Application. CoRR abs/2102.04887 (2021) - [i41]Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang:
FeedRec: News Feed Recommendation with Various User Feedbacks. CoRR abs/2102.04903 (2021) - [i40]Chuhan Wu, Fangzhao Wu, Yang Cao, Yongfeng Huang, Xing Xie:
FedGNN: Federated Graph Neural Network for Privacy-Preserving Recommendation. CoRR abs/2102.04925 (2021) - [i39]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 abs/2104.07360 (2021) - [i38]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 abs/2104.07404 (2021) - [i37]Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang:
MM-Rec: Multimodal News Recommendation. CoRR abs/2104.07407 (2021) - [i36]Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang:
Empowering News Recommendation with Pre-trained Language Models. CoRR abs/2104.07413 (2021) - [i35]Tao Qi, Fangzhao Wu, Chuhan Wu, Yongfeng Huang:
Personalized News Recommendation with Knowledge-aware Interactive Matching. CoRR abs/2104.10083 (2021) - [i34]Lingjuan Lyu, Xuanli He, Fangzhao Wu, Lichao Sun:
Killing Two Birds with One Stone: Stealing Model and Inferring Attribute from BERT-based APIs. CoRR abs/2105.10909 (2021) - [i33]Chuhan Wu, Fangzhao Wu, Yongfeng Huang:
Rethinking InfoNCE: How Many Negative Samples Do You Need? CoRR abs/2105.13003 (2021) - [i32]Chuhan Wu, Fangzhao Wu, Yongfeng Huang:
One Teacher is Enough? Pre-trained Language Model Distillation from Multiple Teachers. CoRR abs/2106.01023 (2021) - [i31]Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang:
Hi-Transformer: Hierarchical Interactive Transformer for Efficient and Effective Long Document Modeling. CoRR abs/2106.01040 (2021) - [i30]Tao Qi, Fangzhao Wu, Chuhan Wu, Yongfeng Huang:
PP-Rec: News Recommendation with Personalized User Interest and Time-aware News Popularity. CoRR abs/2106.01300 (2021) - [i29]Tao Qi, Fangzhao Wu, Chuhan Wu, Peiru Yang, Yang Yu, Xing Xie, Yongfeng Huang:
HieRec: Hierarchical User Interest Modeling for Personalized News Recommendation. CoRR abs/2106.04408 (2021) - [i28]Chuhan Wu, Fangzhao Wu, Yongfeng Huang:
DebiasGAN: Eliminating Position Bias in News Recommendation with Adversarial Learning. CoRR abs/2106.06258 (2021) - [i27]Chuhan Wu, Fangzhao Wu, Yongfeng Huang:
Personalized News Recommendation: A Survey. CoRR abs/2106.08934 (2021) - [i26]Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang:
Is News Recommendation a Sequential Recommendation Task? CoRR abs/2108.08984 (2021) - [i25]Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang, Xing Xie:
Fastformer: Additive Attention Can Be All You Need. CoRR abs/2108.09084 (2021) - [i24]Chuhan Wu, Fangzhao Wu, Tao Qi, Binxing Jiao, Daxin Jiang, Yongfeng Huang:
Smart Bird: Learnable Sparse Attention for Efficient and Effective Transformer. CoRR abs/2108.09193 (2021) - [i23]Chuhan Wu, Fangzhao Wu, Ruixuan Liu, Lingjuan Lyu, Yongfeng Huang, Xing Xie:
FedKD: Communication Efficient Federated Learning via Knowledge Distillation. CoRR abs/2108.13323 (2021) - [i22]Chuhan Wu, Fangzhao Wu, Yang Yu, Tao Qi, Yongfeng Huang, Xing Xie:
UserBERT: Contrastive User Model Pre-training. CoRR abs/2109.01274 (2021) - [i21]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 abs/2109.05236 (2021) - [i20]Jingwei Yi, Fangzhao Wu, Chuhan Wu, Ruixuan Liu, Guangzhong Sun, Xing Xie:
Efficient-FedRec: Efficient Federated Learning Framework for Privacy-Preserving News Recommendation. CoRR abs/2109.05446 (2021) - [i19]Yang Yu, Fangzhao Wu, Chuhan Wu, Jingwei Yi, Tao Qi, Qi Liu:
Tiny-NewsRec: Efficient and Effective PLM-based News Recommendation. CoRR abs/2112.00944 (2021) - [i18]Xuanli He, Qiongkai Xu, Lingjuan Lyu, Fangzhao Wu, Chenguang Wang:
Protecting Intellectual Property of Language Generation APIs with Lexical Watermark. CoRR abs/2112.02701 (2021) - 2020
- [j17]Chuhan Wu, Fangzhao Wu, Yongfeng Huang, Xing Xie:
Neural news recommendation with negative feedback. CCF Trans. Pervasive Comput. Interact. 2(3): 178-188 (2020) - [j16]Hongtao Liu, Yian Wang, Qiyao Peng, Fangzhao Wu, Lin Gan, Lin Pan, Pengfei Jiao:
Hybrid neural recommendation with joint deep representation learning of ratings and reviews. Neurocomputing 374: 77-85 (2020) - [j15]Chuhan Wu, Fangzhao Wu, Tao Qi, Junxin Liu, Yongfeng Huang, Xing Xie:
Detecting Entities of Works for Chinese Chatbot. ACM Trans. Asian Low Resour. Lang. Inf. Process. 19(6): 88:1-88:13 (2020) - [c64]Heyuan Wang, Fangzhao Wu, Zheng Liu, Xing Xie:
Fine-grained Interest Matching for Neural News Recommendation. ACL 2020: 836-845 - [c63]Chuhan Wu, Fangzhao Wu, Tao Qi, Xiaohui Cui, Yongfeng Huang:
Attentive Pooling with Learnable Norms for Text Representation. ACL 2020: 2961-2970 - [c62]Fangzhao Wu, Ying Qiao, Jiun-Hung Chen, Chuhan Wu, Tao Qi, Jianxun Lian, Danyang Liu, Xing Xie, Jianfeng Gao, Winnie Wu, Ming Zhou:
MIND: A Large-scale Dataset for News Recommendation. ACL 2020: 3597-3606 - [c61]Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang:
Named Entity Recognition with Context-Aware Dictionary Knowledge. CNCL 2020: 129-143 - [c60]Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang:
Clickbait Detection with Style-Aware Title Modeling and Co-attention. CNCL 2020: 430-443 - [c59]Sixing Wu, Fang Chen, Fangzhao Wu, Yongfeng Huang, Xing Li:
A Multi-Task Learning Neural Network for Emotion-Cause Pair Extraction. ECAI 2020: 2212-2219 - [c58]Tao Qi, Fangzhao Wu, Chuhan Wu, Yongfeng Huang, Xing Xie:
Privacy-Preserving News Recommendation Model Learning. EMNLP (Findings) 2020: 1423-1432 - [c57]Chuhan Wu, Fangzhao Wu, Tao Qi, Jianxun Lian, Yongfeng Huang, Xing Xie:
PTUM: Pre-training User Model from Unlabeled User Behaviors via Self-supervision. EMNLP (Findings) 2020: 1939-1944 - [c56]Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang:
User Modeling with Click Preference and Reading Satisfaction for News Recommendation. IJCAI 2020: 3023-3029 - [c55]Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang:
SentiRec: Sentiment Diversity-aware Neural News Recommendation. AACL/IJCNLP 2020: 44-53 - [c54]Suyu Ge, Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang:
Graph Enhanced Representation Learning for News Recommendation. WWW 2020: 2863-2869 - [i17]Suyu Ge, Fangzhao Wu, Chuhan Wu, Tao Qi, Yongfeng Huang, Xing Xie:
FedNER: Privacy-preserving Medical Named Entity Recognition with Federated Learning. CoRR abs/2003.09288 (2020) - [i16]Tao Qi, Fangzhao Wu, Chuhan Wu, Yongfeng Huang, Xing Xie:
Privacy-Preserving News Recommendation Model Training via Federated Learning. CoRR abs/2003.09592 (2020) - [i15]Suyu Ge, Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang:
Graph Enhanced Representation Learning for News Recommendation. CoRR abs/2003.14292 (2020) - [i14]Chuhan Wu, Fangzhao Wu, Xiting Wang, Yongfeng Huang, Xing Xie:
Fairness-aware News Recommendation with Decomposed Adversarial Learning. CoRR abs/2006.16742 (2020) - [i13]Chuhan Wu, Fangzhao Wu, Tao Di, Yongfeng Huang, Xing Xie:
FedCTR: Federated Native Ad CTR Prediction with Multi-Platform User Behavior Data. CoRR abs/2007.12135 (2020) - [i12]Chuhan Wu, Fangzhao Wu, Tao Qi, Jianxun Lian, Yongfeng Huang, Xing Xie:
PTUM: Pre-training User Model from Unlabeled User Behaviors via Self-supervision. CoRR abs/2010.01494 (2020) - [i11]Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang:
Improving Attention Mechanism with Query-Value Interaction. CoRR abs/2010.03766 (2020) - [i10]Chuhan Wu, Fangzhao Wu, Yongfeng Huang:
DA-Transformer: Distance-aware Transformer. CoRR abs/2010.06925 (2020)
2010 – 2019
- 2019
- [j14]Suyu Ge, Tao Qi, Chuhan Wu, Fangzhao Wu, Xing Xie, Yongfeng Huang:
Helpfulness-aware review based neural recommendation. CCF Trans. Pervasive Comput. Interact. 1(4): 285-295 (2019) - [j13]Sixing Wu, Fangzhao Wu, Yue Chang, Chuhan Wu, Yongfeng Huang:
Automatic construction of target-specific sentiment lexicon. Expert Syst. Appl. 116: 285-298 (2019) - [j12]Junxin Liu, Fangzhao Wu, Chuhan Wu, Yongfeng Huang, Xing Xie:
Neural Chinese word segmentation with dictionary. Neurocomputing 338: 46-54 (2019) - [j11]Chuhan Wu, Fangzhao Wu, Sixing Wu, Zhigang Yuan, Junxin Liu, Yongfeng Huang:
Semi-supervised dimensional sentiment analysis with variational autoencoder. Knowl. Based Syst. 165: 30-39 (2019) - [j10]Sixing Wu, Yuanfan Xu, Fangzhao Wu, Zhigang Yuan, Yongfeng Huang, Xing Li:
Aspect-based sentiment analysis via fusing multiple sources of textual knowledge. Knowl. Based Syst. 183 (2019) - [c53]Kun Zhang, Guangyi Lv, Linyuan Wang, Le Wu, Enhong Chen, Fangzhao Wu, Xing Xie:
DRr-Net: Dynamic Re-Read Network for Sentence Semantic Matching. AAAI 2019: 7442-7449 - [c52]Mingxiao An, Fangzhao Wu, Chuhan Wu, Kun Zhang, Zheng Liu, Xing Xie:
Neural News Recommendation with Long- and Short-term User Representations. ACL (1) 2019: 336-345 - [c51]Chuhan Wu, Fangzhao Wu, Mingxiao An, Yongfeng Huang, Xing Xie:
Neural News Recommendation with Topic-Aware News Representation. ACL (1) 2019: 1154-1159 - [c50]Dehong Ma, Sujian Li, Fangzhao Wu, Xing Xie, Houfeng Wang:
Exploring Sequence-to-Sequence Learning in Aspect Term Extraction. ACL (1) 2019: 3538-3547 - [c49]Peiyi Wang, Hongtao Liu, Fangzhao Wu, Jinduo Song, Hongyan Xu, Wenjun Wang:
REKA: Relation Extraction with Knowledge-Aware Attention. CCKS 2019: 62-73 - [c48]Tao Qi, Chuhan Wu, Fangzhao Wu, Suyu Ge, Junxin Liu, Yongfeng Huang, Xing Xie:
Fast Neural Chinese Named Entity Recognition with Multi-head Self-attention. CCKS 2019: 98-110 - [c47]Chuhan Wu, Fangzhao Wu, Junxin Liu, Yongfeng Huang, Xing Xie:
Sentiment Lexicon Enhanced Neural Sentiment Classification. CIKM 2019: 1091-1100 - [c46]Chuhan Wu, Fangzhao Wu, Junxin Liu, Yongfeng Huang, Xing Xie:
ARP: Aspect-aware Neural Review Rating Prediction. CIKM 2019: 2169-2172 - [c45]Zhigang Yuan, Fangzhao Wu, Junxin Liu, Chuhan Wu, Yongfeng Huang, Xing Xie:
Neural Review Rating Prediction with User and Product Memory. CIKM 2019: 2341-2344 - [c44]Chuhan Wu, Fangzhao Wu, Tao Qi, Junxin Liu, Yongfeng Huang, Xing Xie:
Neural Gender Prediction in Microblogging with Emotion-aware User Representation. CIKM 2019: 2401-2404 - [c43]Chuhan Wu, Fangzhao Wu, Yongfeng Huang, Xing Xie:
NICE: Neural In-Hospital Cost Estimation from Medical Records. CIKM 2019: 2409-2412 - [c42]Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang, Xing Xie:
Title-Aware Neural News Topic Prediction. CCL 2019: 181-193 - [c41]Mingxiao An, Fangzhao Wu, Heyuan Wang, Tao Di, Jianqiang Huang, Xing Xie:
Neural CTR Prediction for Native Ad. CCL 2019: 600-612 - [c40]Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang, Xing Xie:
Neural Gender Prediction from News Browsing Data. CCL 2019: 664-676 - [c39]Xianchen Wang, Hongtao Liu, Peiyi Wang, Fangzhao Wu, Hongyan Xu, Wenjun Wang, Xing Xie:
Neural Review Rating Prediction with Hierarchical Attentions and Latent Factors. DASFAA (3) 2019: 363-367 - [c38]Chuhan Wu, Fangzhao Wu, Mingxiao An, Tao Qi, Jianqiang Huang, Yongfeng Huang, Xing Xie:
Neural News Recommendation with Heterogeneous User Behavior. EMNLP/IJCNLP (1) 2019: 4873-4882 - [c37]Chuhan Wu, Fangzhao Wu, Tao Qi, Suyu Ge, Yongfeng Huang, Xing Xie:
Reviews Meet Graphs: Enhancing User and Item Representations for Recommendation with Hierarchical Attentive Graph Neural Network. EMNLP/IJCNLP (1) 2019: 4883-4892 - [c36]Chuhan Wu, Fangzhao Wu, Suyu Ge, Tao Qi, Yongfeng Huang, Xing Xie:
Neural News Recommendation with Multi-Head Self-Attention. EMNLP/IJCNLP (1) 2019: 6388-6393 - [c35]Zheng Liu, Yu Xing, Fangzhao Wu, Mingxiao An, Xing Xie:
Hi-Fi Ark: Deep User Representation via High-Fidelity Archive Network. IJCAI 2019: 3059-3065 - [c34]Chuhan Wu, Fangzhao Wu, Mingxiao An, Jianqiang Huang, Yongfeng Huang, Xing Xie:
Neural News Recommendation with Attentive Multi-View Learning. IJCAI 2019: 3863-3869 - [c33]Chuhan Wu, Fangzhao Wu, Mingxiao An, Jianqiang Huang, Yongfeng Huang, Xing Xie:
NPA: Neural News Recommendation with Personalized Attention. KDD 2019: 2576-2584 - [c32]Chuhan Wu, Fangzhao Wu, Junxin Liu, Yongfeng Huang:
Hierarchical User and Item Representation with Three-Tier Attention for Recommendation. NAACL-HLT (1) 2019: 1818-1826 - [c31]Hongtao Liu, Yian Wang, Fangzhao Wu, Pengfei Jiao, Hongyan Xu, Xing Xie:
REKER: Relation Extraction with Knowledge of Entity and Relation. NLPCC (2) 2019: 90-102 - [c30]Hongtao Liu, Peiyi Wang, Fangzhao Wu, Pengfei Jiao, Wenjun Wang, Xing Xie, Yueheng Sun:
REET: Joint Relation Extraction and Entity Typing via Multi-task Learning. NLPCC (1) 2019: 327-339 - [c29]Hongtao Liu, Fangzhao Wu, Wenjun Wang, Xianchen Wang, Pengfei Jiao, Chuhan Wu, Xing Xie:
NRPA: Neural Recommendation with Personalized Attention. SIGIR 2019: 1233-1236 - [c28]Chuhan Wu, Fangzhao Wu, Zhigang Yuan, Junxin Liu, Yongfeng Huang, Xing Xie:
MSA: Jointly Detecting Drug Name and Adverse Drug Reaction Mentioning Tweets with Multi-Head Self-Attention. WSDM 2019: 33-41 - [c27]Chuhan Wu, Fangzhao Wu, Junxin Liu, Shaojian He, Yongfeng Huang, Xing Xie:
Neural Demographic Prediction using Search Query. WSDM 2019: 654-662 - [c26]Junxin Liu, Fangzhao Wu, Chuhan Wu, Yongfeng Huang, Xing Xie:
Neural Chinese Word Segmentation with Lexicon and Unlabeled Data via Posterior Regularization. WWW 2019: 3013-3019 - [c25]Fangzhao Wu, Junxin Liu, Chuhan Wu, Yongfeng Huang, Xing Xie:
Neural Chinese Named Entity Recognition via CNN-LSTM-CRF and Joint Training with Word Segmentation. WWW 2019: 3342-3348 - [i9]Pengwei Wang, Dejing Dou, Fangzhao Wu, Nisansa de Silva, Lianwen Jin:
Logic Rules Powered Knowledge Graph Embedding. CoRR abs/1903.03772 (2019) - [i8]Junxin Liu, Fangzhao Wu, Chuhan Wu, Yongfeng Huang, Xing Xie:
Neural Chinese Word Segmentation with Lexicon and Unlabeled Data via Posterior Regularization. CoRR abs/1905.01963 (2019) - [i7]Fangzhao Wu, Junxin Liu, Chuhan Wu, Yongfeng Huang, Xing Xie:
Neural Chinese Named Entity Recognition via CNN-LSTM-CRF and Joint Training with Word Segmentation. CoRR abs/1905.01964 (2019) - [i6]Hongtao Liu, Fangzhao Wu, Wenjun Wang, Xianchen Wang, Pengfei Jiao, Chuhan Wu, Xing Xie:
NRPA: Neural Recommendation with Personalized Attention. CoRR abs/1905.12480 (2019) - [i5]Xianchen Wang, Hongtao Liu, Peiyi Wang, Fangzhao Wu, Hongyan Xu, Wenjun Wang, Xing Xie:
Neural Review Rating Prediction with Hierarchical Attentions and Latent Factors. CoRR abs/1906.01511 (2019) - [i4]Chuhan Wu, Fangzhao Wu, Mingxiao An, Jianqiang Huang, Yongfeng Huang, Xing Xie:
NPA: Neural News Recommendation with Personalized Attention. CoRR abs/1907.05559 (2019) - [i3]Chuhan Wu, Fangzhao Wu, Mingxiao An, Jianqiang Huang, Yongfeng Huang, Xing Xie:
Neural News Recommendation with Attentive Multi-View Learning. CoRR abs/1907.05576 (2019) - 2018
- [j9]Chuhan Wu, Fangzhao Wu, Sixing Wu, Zhigang Yuan, Yongfeng Huang:
A hybrid unsupervised method for aspect term and opinion target extraction. Knowl. Based Syst. 148: 66-73 (2018) - [j8]Zhigang Yuan, Sixing Wu, Fangzhao Wu, Junxin Liu, Yongfeng Huang:
Domain attention model for multi-domain sentiment classification. Knowl. Based Syst. 155: 1-10 (2018) - [c24]Chuhan Wu, Fangzhao Wu, Yubo Chen, Sixing Wu, Zhigang Yuan, Yongfeng Huang:
Neural Metaphor Detecting with CNN-LSTM Model. Fig-Lang@NAACL-HLT 2018: 110-114 - [c23]Fangzhao Wu, Chuhan Wu, Junxin Liu:
Imbalanced Sentiment Classification with Multi-Task Learning. CIKM 2018: 1631-1634 - [c22]Fangzhao Wu, Chuhan Wu, Junxin Liu:
Semi-Supervised Collaborative Learning for Social Spammer and Spam Message Detection in Microblogging. CIKM 2018: 1791-1794 - [c21]Chuhan Wu, Fangzhao Wu, Sixing Wu, Yongfeng Huang, Xing Xie:
Tweet Emoji Prediction Using Hierarchical Model with Attention. UbiComp/ISWC Adjunct 2018: 1337-1344 - [c20]Kun Zhang, Guangyi Lv, Le Wu, Enhong Chen, Qi Liu, Han Wu, Fangzhao Wu:
Image-Enhanced Multi-level Sentence Representation Net for Natural Language Inference. ICDM 2018: 747-756 - [c19]Zhigang Yuan, Fangzhao Wu, Junxin Liu, Chuhan Wu, Yongfeng Huang, Xing Xie:
Neural Sentence-Level Sentiment Classification with Heterogeneous Supervision. ICDM 2018: 1410-1415 - [c18]Junxin Liu, Fangzhao Wu, Chuhan Wu, Yongfeng Huang, Xing Xie:
Neural Chinese Word Segmentation with Dictionary Knowledge. NLPCC (2) 2018: 80-91 - [c17]Chuhan Wu, Fangzhao Wu, Sixing Wu, Junxin Liu, Zhigang Yuan, Yongfeng Huang:
THU_NGN at SemEval-2018 Task 3: Tweet Irony Detection with Densely connected LSTM and Multi-task Learning. SemEval@NAACL-HLT 2018: 51-56 - [c16]Chuhan Wu, Fangzhao Wu, Junxin Liu, Zhigang Yuan, Sixing Wu, Yongfeng Huang:
THU_NGN at SemEval-2018 Task 1: Fine-grained Tweet Sentiment Intensity Analysis with Attention CNN-LSTM. SemEval@NAACL-HLT 2018: 186-192 - [c15]Chuhan Wu, Fangzhao Wu, Sixing Wu, Zhigang Yuan, Junxin Liu, Yongfeng Huang:
THU_NGN at SemEval-2018 Task 2: Residual CNN-LSTM Network with Attention for English Emoji Prediction. SemEval@NAACL-HLT 2018: 410-414 - [c14]Chuhan Wu, Fangzhao Wu, Sixing Wu, Zhigang Yuan, Yongfeng Huang:
THU_NGN at SemEval-2018 Task 10: Capturing Discriminative Attributes with MLP-CNN model. SemEval@NAACL-HLT 2018: 958-962 - [c13]Chuhan Wu, Fangzhao Wu, Junxin Liu, Sixing Wu, Yongfeng Huang, Xing Xie:
Detecting Tweets Mentioning Drug Name and Adverse Drug Reaction with Hierarchical Tweet Representation and Multi-Head Self-Attention. SMM4H@EMNLP 2018: 34-37 - [i2]Junxin Liu, Fangzhao Wu, Chuhan Wu, Yongfeng Huang, Xing Xie:
Neural Chinese Word Segmentation with Dictionary Knowledge. CoRR abs/1807.05849 (2018) - [i1]Mingxiao An, Yongzhou Chen, Qi Liu, Chuanren Liu, Guangyi Lv, Fangzhao Wu, Jianhui Ma:
Skeptical Deep Learning with Distribution Correction. CoRR abs/1811.03821 (2018) - 2017
- [j7]Fangzhao Wu, Yongfeng Huang, Zhigang Yuan:
Domain-specific sentiment classification via fusing sentiment knowledge from multiple sources. Inf. Fusion 35: 26-37 (2017) - [j6]Fangzhao Wu, Zhigang Yuan, Yongfeng Huang:
Collaboratively Training Sentiment Classifiers for Multiple Domains. IEEE Trans. Knowl. Data Eng. 29(7): 1370-1383 (2017) - [c12]Fangzhao Wu, Yongfeng Huang, Jun Yan:
Active Sentiment Domain Adaptation. ACL (1) 2017: 1701-1711 - [c11]Chuhan Wu, Fangzhao Wu, Yongfeng Huang, Sixing Wu, Zhigang Yuan:
THU_NGN at IJCNLP-2017 Task 2: Dimensional Sentiment Analysis for Chinese Phrases with Deep LSTM. IJCNLP (Shared Tasks) 2017: 47-52 - [c10]Fangzhao Wu, Jia Zhang, Zhigang Yuan, Sixing Wu, Yongfeng Huang, Jun Yan:
Sentence-level Sentiment Classification with Weak Supervision. SIGIR 2017: 973-976 - 2016
- [j5]Fangzhao Wu, Yongfeng Huang, Yangqiu Song, Shixia Liu:
Towards building a high-quality microblog-specific Chinese sentiment lexicon. Decis. Support Syst. 87: 39-49 (2016) - [j4]Fangzhao Wu, Yongfeng Huang, Yangqiu Song:
Structured microblog sentiment classification via social context regularization. Neurocomputing 175: 599-609 (2016) - [j3]Fangzhao Wu, Jinyun Shu, Yongfeng Huang, Zhigang Yuan:
Co-detecting social spammers and spam messages in microblogging via exploiting social contexts. Neurocomputing 201: 51-65 (2016) - [j2]Fangzhao Wu, Yangqiu Song, Yongfeng Huang, M. Rosario Suárez:
Microblog sentiment classification with heterogeneous sentiment knowledge. Inf. Sci. 373: 149-164 (2016) - [c9]Fangzhao Wu, Yongfeng Huang:
Personalized Microblog Sentiment Classification via Multi-Task Learning. AAAI 2016: 3059-3065 - [c8]Fangzhao Wu, Yongfeng Huang:
Sentiment Domain Adaptation with Multiple Sources. ACL (1) 2016 - [c7]Fangzhao Wu, Sixing Wu, Yongfeng Huang, Songfang Huang, Yong Qin:
Sentiment Domain Adaptation with Multi-Level Contextual Sentiment Knowledge. CIKM 2016: 949-958 - 2015
- [c6]Fangzhao Wu, Yangqiu Song, Yongfeng Huang:
Microblog Sentiment Classification with Contextual Knowledge Regularization. AAAI 2015: 2332-2338 - [c5]Fangzhao Wu, Jinyun Shu, Yongfeng Huang, Zhigang Yuan:
Social Spammer and Spam Message Co-Detection in Microblogging with Social Context Regularization. CIKM 2015: 1601-1610 - [c4]Fangzhao Wu, Yongfeng Huang:
Collaborative Multi-domain Sentiment Classification. ICDM 2015: 459-468 - 2014
- [j1]Yingcai Wu, Shixia Liu, Kai Yan, Mengchen Liu, Fangzhao Wu:
OpinionFlow: Visual Analysis of Opinion Diffusion on Social Media. IEEE Trans. Vis. Comput. Graph. 20(12): 1763-1772 (2014) - [c3]Fangzhao Wu, Jun Xu, Hang Li, Xin Jiang:
Ranking Optimization with Constraints. CIKM 2014: 1049-1058 - 2013
- [c2]Bing-kun Wang, Yulin Min, Yongfeng Huang, Xing Li, Fangzhao Wu:
Review rating prediction based on the content and weighting strong social relation of reviewers. UnstructureNLP@CIKM 2013: 23-30 - [c1]Fangzhao Wu, Yangqiu Song, Shixia Liu, Yongfeng Huang, Zhenyu Liu:
Lead-lag analysis via sparse co-projection in correlated text streams. CIKM 2013: 2069-2078
Coauthor Index
[j21] [c104] [i71] [j20] [c97] [c96] [c94] [c91] [c88] [c85] [c84] [c83] [c82] [c81] [c80] [c79] [c78] [i67] [i66] [i63] [i62] [i61] [i60] [i59] [i58] [i57] [i56] [i55] [i54] [i52] [i50] [c77] [c76] [c75] [c74] [c73] [c72] [c70] [c69] [c68] [c66] [c65] [i43] [i42] [i41] [i40] [i38] [i37] [i36] [i35] [i33] [i32] [i31] [i30] [i29] [i28] [i27] [i26] [i25] [i24] [i23] [i22] [i21] [j17] [j15] [c63] [c61] [c60] [c59] [c58] [c57] [c56] [c55] [c54] [i17] [i16] [i15] [i14] [i13] [i12] [i11] [i10] [j14] [j13] [j12] [j11] [j10] [c51] [c48] [c47] [c46] [c45] [c44] [c43] [c42] [c40] [c38] [c37] [c36] [c34] [c33] [c32] [c28] [c27] [c26] [c25] [i8] [i7] [i4] [i3] [j9] [j8] [c24] [c21] [c19] [c18] [c17] [c16] [c15] [c14] [c13] [i2] [j7] [j6] [c12] [c11] [c10] [j5] [j4] [j3] [j2] [c9] [c8] [c7] [c6] [c5] [c4] [c2] [c1]
[i79] [c104] [i71] [c97] [c96] [c88] [c85] [c84] [c83] [c82] [c81] [c80] [c79] [c78] [i67] [i66] [i63] [i62] [i61] [i60] [i59] [i58] [i57] [i56] [i55] [i54] [i52] [i51] [i50] [c76] [c74] [c73] [c72] [c70] [c66] [c65] [i42] [i41] [i38] [i37] [i36] [i35] [i31] [i30] [i29] [i26] [i25] [i24] [i22] [i21] [i19] [j15] [c63] [c62] [c61] [c60] [c58] [c57] [c56] [c55] [c54] [i17] [i16] [i15] [i12] [i11] [j14] [c48] [c44] [c42] [c40] [c38] [c37] [c36]
[j21] [c99] [i74] [j20] [c97] [c96] [c95] [c94] [c93] [c92] [c91] [c89] [c88] [c85] [c84] [c83] [c82] [c81] [c80] [c79] [c78] [i67] [i66] [i64] [i63] [i62] [i61] [i60] [i59] [i58] [i57] [i56] [i55] [i54] [i53] [i52] [i50] [i48] [i46] [c77] [c76] [c75] [c74] [c73] [c72] [c71] [c70] [c69] [c68] [c66] [c65] [i43] [i42] [i41] [i40] [i39] [i38] [i37] [i36] [i35] [i33] [i32] [i31] [i30] [i29] [i28] [i27] [i26] [i25] [i24] [i23] [i22] [i21] [i20] [i19] [j17] [j15] [c63] [c62] [c61] [c60] [c58] [c57] [c56] [c55] [c54] [i17] [i16] [i15] [i14] [i13] [i12] [i11] [i10] [j14] [j13] [j12] [j11] [c52] [c51] [c48] [c47] [c46] [c45] [c44] [c43] [c42] [c40] [c38] [c37] [c36] [c34] [c33] [c32] [c29] [c28] [c27] [c26] [c25] [i8] [i7] [i6] [i4] [i3] [j9] [c24] [c23] [c22] [c21] [c19] [c18] [c17] [c16] [c15] [c14] [c13] [i2] [c11]
[c110] [i80] [i79] [j22] [j21] [c109] [c108] [c107] [c104] [c103] [c102] [c99] [i74] [i72] [i71] [i70] [i69] [i68] [j20] [c95] [c93] [c90] [c89] [c88] [c87] [c85] [c84] [c78] [i67] [i66] [i65] [i64] [i63] [i56] [i53] [i52] [i51] [i50] [i49] [i48] [i46] [i44] [j18] [c77] [c74] [c72] [c71] [c69] [i43] [i40] [i39] [i29] [i25] [i23] [i22] [i21] [i20] [j17] [j15] [c64] [c62] [c58] [c57] [i17] [i16] [i14] [i13] [i12] [j14] [j12] [c53] [c52] [c51] [c50] [c48] [c47] [c46] [c45] [c44] [c43] [c42] [c41] [c40] [c39] [c38] [c37] [c36] [c35] [c34] [c33] [c31] [c30] [c29] [c28] [c27] [c26] [c25] [i8] [i7] [i6] [i5] [i4] [i3] [c21] [c19] [c18] [c13] [i2]
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