Jianling Wang

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 60

Top Topics

Collaborative Filtering

Personalized Ranking

Weakly Supervised

Opinion Leaders

Top Venues

Publications

Yichuan Li, Kaize Ding, Jianling Wang, Kyumin Lee
Empowering Large Language Models for Textual Data Augmentation. ACL (Findings) (2024)
Jianling Wang, Haokai Lu, James Caverlee, Ed H. Chi, Minmin Chen
Large Language Models as Data Augmenters for Cold-Start Item Recommendation. WWW (Companion Volume) (2024)
Jianling Wang, Haokai Lu, Minmin Chen
Fresh Content Recommendation at Scale: A Multi-funnel Solution and the Potential of LLMs. WSDM (2024)
Jinhao Pan, Ziwei Zhu, Jianling Wang, Allen Lin, James Caverlee
Countering Mainstream Bias via End-to-End Adaptive Local Learning. ECIR (5) (2024)
Kaize Ding, Jianling Wang, Jundong Li, James Caverlee, Huan Liu
Robust Graph Meta-Learning for Weakly Supervised Few-Shot Node Classification. ACM Trans. Knowl. Discov. Data 18 (4) (2024)
Allen Lin, Jianling Wang, Ziwei Zhu, James Caverlee
Federated Conversational Recommender Systems. ECIR (5) (2024)
Haoran Liu, Bokun Wang, Jianling Wang, Xiangjue Dong, Tianbao Yang, James Caverlee
Everything Perturbed All at Once: Enabling Differentiable Graph Attacks. WWW (Companion Volume) (2024)
Chengkai Liu, Jianghao Lin, Hanzhou Liu, Jianling Wang, James Caverlee
Behavior-Dependent Linear Recurrent Units for Efficient Sequential Recommendation. CoRR (2024)
Chengkai Liu, Jianghao Lin, Jianling Wang, Hanzhou Liu, James Caverlee
Mamba4Rec: Towards Efficient Sequential Recommendation with Selective State Space Models. CoRR (2024)
Yichuan Li, Kaize Ding, Jianling Wang, Kyumin Lee
Empowering Large Language Models for Textual Data Augmentation. CoRR (2024)
Jianling Wang, Haokai Lu, James Caverlee, Ed H. Chi, Minmin Chen
Large Language Models as Data Augmenters for Cold-Start Item Recommendation. CoRR (2024)
Jianling Wang, Haokai Lu, Yifan Liu, He Ma, Yueqi Wang, Yang Gu, Shuzhou Zhang, Ningren Han, Shuchao Bi, Lexi Baugher, Ed H. Chi, Minmin Chen
LLMs for User Interest Exploration: A Hybrid Approach. CoRR (2024)
Jinhao Pan, Ziwei Zhu, Jianling Wang, Allen Lin, James Caverlee
Countering Mainstream Bias via End-to-End Adaptive Local Learning. CoRR (2024)
Haoran Liu, Bokun Wang, Jianling Wang, Xiangjue Dong, Tianbao Yang, James Caverlee
Everything Perturbed All at Once: Enabling Differentiable Graph Attacks. CoRR (2023)
Jianling Wang, Haokai Lu, Sai Zhang, Bart N. Locanthi, Haoting Wang, Dylan Greaves, Benjamin Lipshitz, Sriraj Badam, Ed H. Chi, Cristos Goodrow, Su-Lin Wu, Lexi Baugher, Minmin Chen
Fresh Content Needs More Attention: Multi-funnel Fresh Content Recommendation. CoRR (2023)
Jianling Wang, Haokai Lu, Sai Zhang, Bart N. Locanthi, Haoting Wang, Dylan Greaves, Benjamin Lipshitz, Sriraj Badam, Ed H. Chi, Cristos J. Goodrow, Su-Lin Wu, Lexi Baugher, Minmin Chen
Fresh Content Needs More Attention: Multi-funnel Fresh Content Recommendation. KDD (2023)
Xiangjue Dong, Jiaying Lu, Jianling Wang, James Caverlee
Closed-book Question Generation via Contrastive Learning. EACL (2023)
Allen Lin, Ziwei Zhu, Jianling Wang, James Caverlee
Enhancing User Personalization in Conversational Recommenders. CoRR (2023)
Yixin Liu, Kaize Ding, Jianling Wang, Vincent Lee, Huan Liu, Shirui Pan
Learning Strong Graph Neural Networks with Weak Information. CoRR (2023)
Allen Lin, Ziwei Zhu, Jianling Wang, James Caverlee
Enhancing User Personalization in Conversational Recommenders. WWW (2023)
Yixin Liu, Kaize Ding, Jianling Wang, Vincent C. S. Lee, Huan Liu, Shirui Pan
Learning Strong Graph Neural Networks with Weak Information. KDD (2023)
Jianling Wang, Ya Le, Bo Chang, Yuyan Wang, Ed H. Chi, Minmin Chen
Learning to Augment for Casual User Recommendation. CoRR (2022)
Weiwen Liu, Yin Zhang, Jianling Wang, Yun He, James Caverlee, Patrick P. K. Chan, Daniel S. Yeung, Pheng-Ann Heng
Item Relationship Graph Neural Networks for E-Commerce. IEEE Trans. Neural Networks Learn. Syst. 33 (9) (2022)
Allen Lin, Jianling Wang, Ziwei Zhu, James Caverlee
Quantifying and Mitigating Popularity Bias in Conversational Recommender Systems. CIKM (2022)
Jianling Wang, Ya Le, Bo Chang, Yuyan Wang, Ed H. Chi, Minmin Chen
Learning to Augment for Casual User Recommendation. WWW (2022)
Allen Lin, Jianling Wang, Ziwei Zhu, James Caverlee
Quantifying and Mitigating Popularity Bias in Conversational Recommender Systems. CoRR (2022)
Jianling Wang, Jing Li
Energy efficiency maximization for IRS-assisted NOMA networks. Phys. Commun. 52 (2022)
Jianling Wang
Spectral efficiency maximization for IRS-assisted wireless communication in cognitive radio networks. Phys. Commun. 50 (2022)
Xiangjue Dong, Jiaying Lu, Jianling Wang, James Caverlee
Closed-book Question Generation via Contrastive Learning. CoRR (2022)
Kaize Ding, Jianling Wang, James Caverlee, Huan Liu
Meta Propagation Networks for Graph Few-shot Semi-supervised Learning. AAAI (2022)
Allen Lin, Ziwei Zhu, Jianling Wang, James Caverlee
Towards Fair Conversational Recommender Systems. CoRR (2022)
Ziwei Zhu, Yun He, Xing Zhao, Yin Zhang, Jianling Wang, James Caverlee
Popularity-Opportunity Bias in Collaborative Filtering. WSDM (2021)
Jianling Wang, Ainur Yessenalina, Alireza Roshan Ghias
Exploring Heterogeneous Metadata for Video Recommendation with Two-tower Model. CoRR (2021)
Kaize Ding, Jianling Wang, Jundong Li, James Caverlee, Huan Liu
Weakly-supervised Graph Meta-learning for Few-shot Node Classification. CoRR (2021)
Kaize Ding, Jianling Wang, James Caverlee, Huan Liu
Meta Propagation Networks for Graph Few-shot Semi-supervised Learning. CoRR (2021)
Jianling Wang, Kaize Ding, Ziwei Zhu, James Caverlee
Session-based Recommendation with Hypergraph Attention Networks. CoRR (2021)
Ziwei Zhu, Jianling Wang, James Caverlee
Fairness-aware Personalized Ranking Recommendation via Adversarial Learning. CoRR (2021)
Jianling Wang, Kaize Ding, James Caverlee
Sequential Recommendation for Cold-start Users with Meta Transitional Learning. SIGIR (2021)
Jianling Wang, Kaize Ding, James Caverlee
Sequential Recommendation for Cold-start Users with Meta Transitional Learning. CoRR (2021)
Jianling Wang, Kaize Ding, Ziwei Zhu, James Caverlee
Session-based Recommendation with Hypergraph Attention Networks. SDM (2021)
Jianling Wang, Kaize Ding, Liangjie Hong, Huan Liu, James Caverlee
Next-item Recommendation with Sequential Hypergraphs. SIGIR (2020)
Yin Zhang, Yun He, Jianling Wang, James Caverlee
Adaptive Hierarchical Translation-based Sequential Recommendation. WWW (2020)
Ziwei Zhu, Jianling Wang, James Caverlee
Measuring and Mitigating Item Under-Recommendation Bias in Personalized Ranking Systems. SIGIR (2020)
Jianling Wang, James Caverlee
Recommending Music Curators: A Neural Style-Aware Approach. ECIR (1) (2020)
Jianling Wang, Ziwei Zhu, James Caverlee
User Recommendation in Content Curation Platforms. WSDM (2020)
Kaize Ding, Jianling Wang, Jundong Li, Dingcheng Li, Huan Liu
Be More with Less: Hypergraph Attention Networks for Inductive Text Classification. CoRR (2020)
Kaize Ding, Jianling Wang, Jundong Li, Kai Shu, Chenghao Liu, Huan Liu
Graph Prototypical Networks for Few-shot Learning on Attributed Networks. CoRR (2020)
Kaize Ding, Jianling Wang, Jundong Li, Kai Shu, Chenghao Liu, Huan Liu
Graph Prototypical Networks for Few-shot Learning on Attributed Networks. CIKM (2020)
Parisa Kaghazgaran, Jianling Wang, Ruihong Huang, James Caverlee
ADORE: Aspect Dependent Online REview Labeling for Review Generation. SIGIR (2020)
Jianling Wang, Raphael Louca, Diane Hu, Caitlin Cellier, James Caverlee, Liangjie Hong
Time to Shop for Valentine's Day: Shopping Occasions and Sequential Recommendation in E-commerce. WSDM (2020)
Kaize Ding, Jianling Wang, Jundong Li, Dingcheng Li, Huan Liu
Be More with Less: Hypergraph Attention Networks for Inductive Text Classification. EMNLP (1) (2020)
Jianling Wang, Kaize Ding, Ziwei Zhu, Yin Zhang, James Caverlee
Key Opinion Leaders in Recommendation Systems: Opinion Elicitation and Diffusion. WSDM (2020)
Jianling Wang, James Caverlee
Recurrent Recommendation with Local Coherence. WSDM (2019)
Yun He, Jianling Wang, Wei Niu, James Caverlee
A Hierarchical Self-Attentive Model for Recommending User-Generated Item Lists. CIKM (2019)
Yun He, Jianling Wang, Wei Niu, James Caverlee
A Hierarchical Self-Attentive Model for Recommending User-Generated Item Lists. CoRR (2019)
Ziwei Zhu, Jianling Wang, James Caverlee
Improving Top-K Recommendation via JointCollaborative Autoencoders. WWW (2019)
Ziwei Zhu, Jianling Wang, Yin Zhang, James Caverlee
Fairness-Aware Recommendation of Information Curators. CoRR (2018)
Jianling Wang, Vivek George, Tucker Balch, Maria Hybinette
Stockyard: A discrete event-based stock market exchange simulator. WSC (2017)
G. Alan Wang, Xiaomo Liu, Jianling Wang, Min Zhang, Weiguo Fan
Examining micro-level knowledge sharing discussions in online communities. Inf. Syst. Frontiers 17 (6) (2015)
Mi (Jamie) Zhou, Lijun (Gillian) Lei, Jianling Wang, Weiguo (Patrick) Fan, Alan Gang Wang
Social Media Adoption and Corporate Disclosure. J. Inf. Syst. 29 (2) (2015)
Jianling Wang, Lirong Jian, Xuejiao Liu
The key role of psychological empowerment in boundary employee units based on gray preference. SMC (2012)
Yongsheng Xu, Jianling Wang
Optimal path solution of urban traffic road. ICNC (2011)
Guangping Wang, Jianling Wang, Xiaoqin Ma, Robin G. Qiu
The effect of standardization and customization on service satisfaction. J. Serv. Sci. Res. 2 (1) (2010)
Jianling Wang, Sifeng Liu, Lu Qin, Chuanmin Mi
The Status Quo and Supply Prediction for Suzhou Sci-Tech Innovative Talents. SMC (2009)
Chuanmin Mi, Sifeng Liu, Yaoguo Dang, Jianling Wang, Zhengpeng Wu
Study on 2-tuple Linguistic Assessment Method based on Grey Cluster with Incomplete Attribute Weight Information. SMC (2009)
Jianling Wang, Sifeng Liu, Yuan-qi Wang, Naiming Xie
Evaluation of customer satisfaction in automobile after-sales service based on grey incidence analysis. SMC (2008)
Dang Luo, Dixin Luo, Naiming Xie, Jianling Wang
Grey multi-attribute decision-making method based on two-phase optimization. SMC (2008)
Jianling Wang, Sifeng Liu, Yaoguo Dang, Hai-jian Liu
Consumer evaluation of service brand extension based on gray preference analysis. SMC (2007)
Jianling Wang, Sifeng Liu, Zhigeng Fang, Wei-Hang Wang, Liu Shen
Forecasting OF LYG Port Effect On LX Highway Traffic Based ON GM (1, 1). SMC (2006)