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Hansu Gu
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2020 – today
- 2024
- [j15]Zhengqing Guan, Peng Zhang, Hansu Gu, Tun Lu, Baoxi Liu, Ning Gu:
JargonFM: A Framework With Multiple Interpretation Modes for Jargon Understanding in Online Communities. IEEE Trans. Comput. Soc. Syst. 11(2): 1853-1864 (2024) - [j14]Guangping Zhang, Dongsheng Li, Hansu Gu, Tun Lu, Li Shang, Ning Gu:
Simulating News Recommendation Ecosystems for Insights and Implications. IEEE Trans. Comput. Soc. Syst. 11(5): 5699-5713 (2024) - [j13]Yubo Shu, Haonan Zhang, Hansu Gu, Peng Zhang, Tun Lu, Dongsheng Li, Ning Gu:
RAH! RecSys-Assistant-Human: A Human-Centered Recommendation Framework With LLM Agents. IEEE Trans. Comput. Soc. Syst. 11(5): 6759-6770 (2024) - [j12]Peng Zhang, Qi Zhou, Tun Lu, Hansu Gu, Ning Gu:
DeLink: An Adversarial Framework for Defending against Cross-site User Identity Linkage. ACM Trans. Web 18(2): 29:1-29:34 (2024) - [j11]Guangping Zhang, Dongsheng Li, Hansu Gu, Tun Lu, Ning Gu:
Heterogeneous Graph Neural Network with Personalized and Adaptive Diversity for News Recommendation. ACM Trans. Web 18(3): 34:1-34:33 (2024) - [c32]Mirjana Prpa, Giovanni Maria Troiano, Bingsheng Yao, Toby Jia-Jun Li, Dakuo Wang, Hansu Gu:
Challenges and Opportunities of LLM-Based Synthetic Personae and Data in HCI. CSCW Companion 2024: 716-719 - [c31]Jiafeng Xia, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Li Shang, Ning Gu:
Neural Kalman Filtering for Robust Temporal Recommendation. WSDM 2024: 836-845 - [c30]Jiafeng Xia, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Li Shang, Ning Gu:
Hierarchical Graph Signal Processing for Collaborative Filtering. WWW 2024: 3229-3240 - [i16]Jiafeng Xia, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Li Shang, Ning Gu:
Frequency-aware Graph Signal Processing for Collaborative Filtering. CoRR abs/2402.08426 (2024) - [i15]Wenxin Zhao, Peng Zhang, Hansu Gu, Dongsheng Li, Tun Lu, Ning Gu:
AOTree: Aspect Order Tree-based Model for Explainable Recommendation. CoRR abs/2407.19937 (2024) - [i14]Jiafeng Xia, Dongsheng Li, Hansu Gu, Tun Lu, Ning Gu:
GraphTransfer: A Generic Feature Fusion Framework for Collaborative Filtering. CoRR abs/2408.05792 (2024) - [i13]Jiahao Liu, Yiyang Shao, Peng Zhang, Dongsheng Li, Hansu Gu, Chao Chen, Longzhi Du, Tun Lu, Ning Gu:
Constructing and Masking Preference Profile with LLMs for Filtering Discomforting Recommendation. CoRR abs/2410.05411 (2024) - [i12]Yaqiong Li, Peng Zhang, Hansu Gu, Tun Lu, Siyuan Qiao, Yubo Shu, Yiyang Shao, Ning Gu:
DeMod: A Holistic Tool with Explainable Detection and Personalized Modification for Toxicity Censorship. CoRR abs/2411.01844 (2024) - 2023
- [c29]Sijia Liu, Jiahao Liu, Hansu Gu, Dongsheng Li, Tun Lu, Peng Zhang, Ning Gu:
AutoSeqRec: Autoencoder for Efficient Sequential Recommendation. CIKM 2023: 1493-1502 - [c28]Fangye Wang, Hansu Gu, Dongsheng Li, Tun Lu, Peng Zhang, Ning Gu:
Towards Deeper, Lighter and Interpretable Cross Network for CTR Prediction. CIKM 2023: 2523-2533 - [c27]Yubo Shu, Hansu Gu, Peng Zhang, Tun Lu, Ning Gu:
An Intent-based and Annotation-free Method for Duplicate Question Detection in CQA Forums. EMNLP (Findings) 2023: 8889-8899 - [c26]Jiahao Liu, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Li Shang, Ning Gu:
Triple Structural Information Modelling for Accurate, Explainable and Interactive Recommendation. SIGIR 2023: 1086-1095 - [c25]Fangye Wang, Yingxu Wang, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Ning Gu:
CL4CTR: A Contrastive Learning Framework for CTR Prediction. WSDM 2023: 805-813 - [c24]Jiahao Liu, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Li Shang, Ning Gu:
Personalized Graph Signal Processing for Collaborative Filtering. WWW 2023: 1264-1272 - [i11]Jiahao Liu, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Li Shang, Ning Gu:
Personalized Graph Signal Processing for Collaborative Filtering. CoRR abs/2302.02113 (2023) - [i10]Jiahao Liu, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Li Shang, Ning Gu:
Triple Structural Information Modelling for Accurate, Explainable and Interactive Recommendation. CoRR abs/2304.11528 (2023) - [i9]Guangping Zhang, Dongsheng Li, Hansu Gu, Tun Lu, Li Shang, Ning Gu:
Simulating News Recommendation Ecosystem for Fun and Profit. CoRR abs/2305.14103 (2023) - [i8]Jiahao Liu, Dongsheng Li, Hansu Gu, Tun Lu, Jiongran Wu, Peng Zhang, Li Shang, Ning Gu:
Recommendation Unlearning via Matrix Correction. CoRR abs/2307.15960 (2023) - [i7]Sijia Liu, Jiahao Liu, Hansu Gu, Dongsheng Li, Tun Lu, Peng Zhang, Ning Gu:
AutoSeqRec: Autoencoder for Efficient Sequential Recommendation. CoRR abs/2308.06878 (2023) - [i6]Yubo Shu, Hansu Gu, Peng Zhang, Haonan Zhang, Tun Lu, Dongsheng Li, Ning Gu:
RAH! RecSys-Assistant-Human: A Human-Central Recommendation Framework with Large Language Models. CoRR abs/2308.09904 (2023) - [i5]Fangye Wang, Yingxu Wang, Hansu Gu, Dongsheng Li, Tun Lu, Peng Zhang, Li Shang, Ning Gu:
A Comprehensive Summarization and Evaluation of Feature Refinement Modules for CTR Prediction. CoRR abs/2311.04625 (2023) - [i4]Fangye Wang, Hansu Gu, Dongsheng Li, Tun Lu, Peng Zhang, Ning Gu:
Towards Deeper, Lighter and Interpretable Cross Network for CTR Prediction. CoRR abs/2311.04635 (2023) - 2022
- [j10]Peng Zhang, Baoxi Liu, Tun Lu, Hansu Gu, Xianghua Ding, Ning Gu:
A Semantic Embedding Enhanced Topic Model For User-Generated Textual Content Modeling In Social Ecosystems. Comput. J. 65(11): 2953-2968 (2022) - [j9]Baoxi Liu, Peng Zhang, Yubo Shu, Zhengqing Guan, Tun Lu, Hansu Gu, Ning Gu:
Building a Personalized Model for Social Media Textual Content Censorship. Proc. ACM Hum. Comput. Interact. 6(CSCW2): 1-31 (2022) - [j8]Peng Zhang, Zhengqing Guan, Baoxi Liu, Sharon Xianghua Ding, Tun Lu, Hansu Gu, Ning Gu:
Building User-oriented Personalized Machine Translator based on User-Generated Textual Content. Proc. ACM Hum. Comput. Interact. 6(CSCW2): 1-26 (2022) - [j7]Peng Zhang, Baoxi Liu, Tun Lu, Xianghua Ding, Hansu Gu, Ning Gu:
Jointly Predicting Future Content in Multiple Social Media Sites Based on Multi-task Learning. ACM Trans. Inf. Syst. 40(4): 79:1-79:28 (2022) - [c23]Fangye Wang, Hansu Gu, Dongsheng Li, Tun Lu, Peng Zhang, Ning Gu:
MCRF: Enhancing CTR Prediction Models via Multi-channel Feature Refinement Framework. DASFAA (2) 2022: 359-374 - [c22]Jiahao Liu, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Ning Gu:
Parameter-free Dynamic Graph Embedding for Link Prediction. NeurIPS 2022 - [c21]Fangye Wang, Yingxu Wang, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Ning Gu:
Enhancing CTR Prediction with Context-Aware Feature Representation Learning. SIGIR 2022: 343-352 - [c20]Zhuo Chen, Baoxi Liu, Peng Zhang, Tun Lu, Hansu Gu, Ning Gu:
A Personalized Cross-Platform Post Style Transfer Method Based on Transformer and Bi-Attention Mechanism. WSDM 2022: 85-93 - [c19]Jiafeng Xia, Dongsheng Li, Hansu Gu, Jiahao Liu, Tun Lu, Ning Gu:
FIRE: Fast Incremental Recommendation with Graph Signal Processing. WWW 2022: 2360-2369 - [c18]Sicheng Pan, Dongsheng Li, Hansu Gu, Tun Lu, Xufang Luo, Ning Gu:
Accurate and Explainable Recommendation via Review Rationalization. WWW 2022: 3092-3101 - [i3]Fangye Wang, Yingxu Wang, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Ning Gu:
Enhancing CTR Prediction with Context-Aware Feature Representation Learning. CoRR abs/2204.08758 (2022) - [i2]Jiahao Liu, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Ning Gu:
Parameter-free Dynamic Graph Embedding for Link Prediction. CoRR abs/2210.08189 (2022) - [i1]Fangye Wang, Yingxu Wang, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Ning Gu:
CL4CTR: A Contrastive Learning Framework for CTR Prediction. CoRR abs/2212.00522 (2022) - 2021
- [j6]Peng Zhang, Baoxi Liu, Xianghua Ding, Tun Lu, Hansu Gu, Ning Gu:
Studying and Understanding Characteristics of Post-Syncing Practice and Goal in Social Network Sites. ACM Trans. Web 15(4): 16:1-16:26 (2021) - [c17]Jiafeng Xia, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Ning Gu:
Incremental Graph Convolutional Network for Collaborative Filtering. CIKM 2021: 2170-2179 - [c16]Zhenghao Zhang, Tun Lu, Dongsheng Li, Peng Zhang, Hansu Gu, Ning Gu:
SANS: Setwise Attentional Neural Similarity Method for Few-Shot Recommendation. DASFAA (3) 2021: 69-84 - 2020
- [j5]Weizhao Tang, Tun Lu, Dongsheng Li, Hansu Gu, Ning Gu:
Hierarchical Attentional Factorization Machines for Expert Recommendation in Community Question Answering. IEEE Access 8: 35331-35343 (2020) - [j4]Weizhao Tang, Tun Lu, Hansu Gu, Peng Zhang, Ning Gu:
Domain problem-solving expert identification in community question answering. Expert Syst. J. Knowl. Eng. 37(5) (2020) - [j3]Peng Zhang, Tun Lu, Baoxi Liu, Hansu Gu, Ning Gu:
Understanding Social Interaction across Social Network Sites. Int. J. Hum. Comput. Interact. 36(19): 1818-1833 (2020)
2010 – 2019
- 2018
- [c15]Yiru Fangl, Tun Lu, Peng Zhang, Hansu Gu, Ning Gu:
Exploring the Effect of Politeness on User Contribution in Q&A sites: A Case Study of Stack Overflow. CSCWD 2018: 713-718 - [c14]Dongsheng Li, Chao Chen, Qin Lv, Hansu Gu, Tun Lu, Li Shang, Ning Gu, Stephen M. Chu:
AdaError: An Adaptive Learning Rate Method for Matrix Approximation-based Collaborative Filtering. WWW 2018: 741-751 - 2017
- [j2]Peng Zhang, Haiyi Zhu, Tun Lu, Hansu Gu, Wenjian Huang, Ning Gu:
Understanding Relationship Overlapping on Social Network Sites: A Case Study of Weibo and Douban. Proc. ACM Hum. Comput. Interact. 1(CSCW): 120:1-120:18 (2017) - [c13]Peng Zhang, Tun Lu, Hansu Gu, Xianghua Ding, Ning Gu:
How Do You Interact with Your Old Friends on a New Site: Understanding Social Ties among Different Social Network Sites. ChineseCSCW 2017: 2-9 - [c12]Peng Zhang, Tun Lu, Hansu Gu, Ning Gu:
Identifying User Identity across Social Network Sites based on Overlapping Relationship and Social Interaction. ChineseCSCW 2017: 25-32 - [c11]Haiming Wang, Peng Zhang, Tun Lu, Hansu Gu, Ning Gu:
Hybrid recommendation model based on incremental collaborative filtering and content-based algorithms. CSCWD 2017: 337-342 - [c10]Haiyang Ding, Peng Zhang, Tun Lu, Hansu Gu, Ning Gu:
Credit scoring using ensemble classification based on variable weighting clustering. CSCWD 2017: 509-514 - 2016
- [j1]Peng Zhang, Hansu Gu, Mike Gartrell, Tun Lu, Dayi Yang, Xianghua Ding, Ning Gu:
Group-based Latent Dirichlet Allocation (Group-LDA): Effective audience detection for books in online social media. Knowl. Based Syst. 105: 134-146 (2016) - [c9]Eying Wu, Peng Zhang, Tun Lu, Hansu Gu, Ning Gu:
Behavior prediction using an improved Hidden Markov Model to support people with disabilities in smart homes. CSCWD 2016: 560-565 - 2015
- [c8]Lun Wang, Tun Lu, Hansu Gu, Xianghua Ding, Ning Gu:
Influential user recommendation through SVD based topic diversification. CSCWD 2015: 176-181 - [c7]Bo Tang, Tun Lu, Hansu Gu, Xianghua Ding, Ning Gu:
Measuring domain-specific user influence in microblogs: An Actor-Network Theory based approach. CSCWD 2015: 314-319 - 2013
- [c6]Hansu Gu, Mike Gartrell, Liang Zhang, Qin Lv, Dirk Grunwald:
AnchorMF: towards effective event context identification. CIKM 2013: 629-638 - 2012
- [c5]Alireza Mahdian, Hansu Gu, Sravan Thokala, Shivakant Mishra:
Location based routing using smartphones in an infrastructureless environment. SAC 2012: 594-599 - [c4]Hansu Gu, Haojie Hang, Qin Lv, Dirk Grunwald:
Fusing Text and Frienships for Location Inference in Online Social Networks. Web Intelligence 2012: 158-165 - 2011
- [c3]Hansu Gu, Xing Xie, Qin Lv, Yaoping Ruan, Li Shang:
ETree: Effective and Efficient Event Modeling for Real-Time Online Social Media Networks. Web Intelligence 2011: 300-307 - 2010
- [c2]Alireza Mahdian, Hansu Gu, Faris A. Kateb, Sravan Thokala, Shivakant Mishra:
GPS assisted adhoc routing using cellphones for poorly connected areas. NSDR 2010: 16
2000 – 2009
- 2009
- [c1]Sili Zhao, Du Li, Hansu Gu, Bin Shao, Ning Gu:
An Approach to Sharing Legacy TV/Arcade Games for Real-Time Collaboration. ICDCS 2009: 165-172
Coauthor Index
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last updated on 2024-12-12 21:01 CET by the dblp team
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