Jianling Wang

2024

Behavior-Dependent Linear Recurrent Units for Efficient Sequential Recommendation.

Chengkai Liu|Jianghao Lin|Hanzhou Liu|Jianling Wang|James Caverlee

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024

Federated Conversational Recommender Systems.

Allen Lin|Jianling Wang|Ziwei Zhu|James Caverlee

Advances in Information Retrieval - 46th European Conference on Information Retrieval, ECIR 2024, Glasgow, UK, March 24-28, 2024, Proceedings, Part V

Countering Mainstream Bias via End-to-End Adaptive Local Learning.

Jinhao Pan|Ziwei Zhu|Jianling Wang|Allen Lin|James Caverlee

Advances in Information Retrieval - 46th European Conference on Information Retrieval, ECIR 2024, Glasgow, UK, March 24-28, 2024, Proceedings, Part V

Fresh Content Recommendation at Scale: A Multi-funnel Solution and the Potential of LLMs.

Jianling Wang|Haokai Lu|Minmin Chen

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, WSDM 2024, Merida, Mexico, March 4-8, 2024

Everything Perturbed All at Once: Enabling Differentiable Graph Attacks.

Haoran Liu|Bokun Wang|Jianling Wang|Xiangjue Dong|Tianbao Yang|James Caverlee

Companion Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, Singapore, May 13-17, 2024

Large Language Models as Data Augmenters for Cold-Start Item Recommendation.

Jianling Wang|Haokai Lu|James Caverlee|Ed H. Chi|Minmin Chen

Companion Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, Singapore, May 13-17, 2024

2023

Enhancing User Personalization in Conversational Recommenders.

Allen Lin|Ziwei Zhu|Jianling Wang|James Caverlee

Proceedings of the ACM Web Conference 2023, WWW 2023, Austin, TX, USA, 30 April 2023 - 4 May 2023

2022

Quantifying and Mitigating Popularity Bias in Conversational Recommender Systems.

Allen Lin|Jianling Wang|Ziwei Zhu|James Caverlee

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022

Learning to Augment for Casual User Recommendation.

Jianling Wang|Ya Le|Bo Chang|Yuyan Wang|Ed H. Chi|Minmin Chen

WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25 - 29, 2022

2021

Sequential Recommendation for Cold-start Users with Meta Transitional Learning.

Jianling Wang|Kaize Ding|James Caverlee

SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event, Canada, July 11-15, 2021

Popularity-Opportunity Bias in Collaborative Filtering.

Ziwei Zhu|Yun He|Xing Zhao|Yin Zhang|Jianling Wang|James Caverlee

WSDM '21, The Fourteenth ACM International Conference on Web Search and Data Mining, Virtual Event, Israel, March 8-12, 2021

2020

Graph Prototypical Networks for Few-shot Learning on Attributed Networks.

Kaize Ding|Jianling Wang|Jundong Li|Kai Shu|Chenghao Liu|Huan Liu

CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, Virtual Event, Ireland, October 19-23, 2020

Recommending Music Curators: A Neural Style-Aware Approach.

Jianling Wang|James Caverlee

Advances in Information Retrieval - 42nd European Conference on IR Research, ECIR 2020, Lisbon, Portugal, April 14-17, 2020, Proceedings, Part I

ADORE: Aspect Dependent Online REview Labeling for Review Generation.

Parisa Kaghazgaran|Jianling Wang|Ruihong Huang|James Caverlee

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, SIGIR 2020, Virtual Event, China, July 25-30, 2020

Next-item Recommendation with Sequential Hypergraphs.

Jianling Wang|Kaize Ding|Liangjie Hong|Huan Liu|James Caverlee

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, SIGIR 2020, Virtual Event, China, July 25-30, 2020

Measuring and Mitigating Item Under-Recommendation Bias in Personalized Ranking Systems.

Ziwei Zhu|Jianling Wang|James Caverlee

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, SIGIR 2020, Virtual Event, China, July 25-30, 2020

Key Opinion Leaders in Recommendation Systems: Opinion Elicitation and Diffusion.

Jianling Wang|Kaize Ding|Ziwei Zhu|Yin Zhang|James Caverlee

WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, Houston, TX, USA, February 3-7, 2020

Time to Shop for Valentine's Day: Shopping Occasions and Sequential Recommendation in E-commerce.

Jianling Wang|Raphael Louca|Diane Hu|Caitlin Cellier|James Caverlee|Liangjie Hong

WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, Houston, TX, USA, February 3-7, 2020

User Recommendation in Content Curation Platforms.

Jianling Wang|Ziwei Zhu|James Caverlee

WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, Houston, TX, USA, February 3-7, 2020

Adaptive Hierarchical Translation-based Sequential Recommendation.

Yin Zhang|Yun He|Jianling Wang|James Caverlee

WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020

2019

A Hierarchical Self-Attentive Model for Recommending User-Generated Item Lists.

Yun He|Jianling Wang|Wei Niu|James Caverlee

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, CIKM 2019, Beijing, China, November 3-7, 2019.

Recurrent Recommendation with Local Coherence.

Jianling Wang|James Caverlee

Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, WSDM 2019, Melbourne, VIC, Australia, February 11-15, 2019

Improving Top-K Recommendation via JointCollaborative Autoencoders.

Ziwei Zhu|Jianling Wang|James Caverlee

The World Wide Web Conference, WWW 2019, San Francisco, CA, USA, May 13-17, 2019