| 2025 | ACL | User Feedback Alignment for LLM-powered Exploration in Large-scale Recommendation Systems. | Jianling Wang, Yifan Liu, Yinghao Sun, Xuejian Ma, Yueqi Wang, He Ma, Zhengyang Su, Minmin Chen, Mingyan Gao, Onkar Dalal, Ed H. Chi, Lichan Hong, Ningren Han, Haokai Lu |
| 2025 | CVPR | SGSST: Scaling Gaussian Splatting Style Transfer. | Bruno Galerne, Jianling Wang, Lara Raad, Jean-Michel Morel |
| 2025 | KDD | Flow Matching for Collaborative Filtering. | Chengkai Liu, Yangtian Zhang, Jianling Wang, Rex Ying, James Caverlee |
| 2025 | RecSys | Balancing Fine-tuning and RAG: A Hybrid Strategy for Dynamic LLM Recommendation Updates. | Changping Meng, Hongyi Ling, Jianling Wang, Yifan Liu, Shuzhou Zhang, Dapeng Hong, Mingyan Gao, Onkar Dalal, Ed H. Chi, Lichan Hong, Haokai Lu, Ningren Han |
| 2024 | ACL | Empowering Large Language Models for Textual Data Augmentation. | Yichuan Li, Kaize Ding, Jianling Wang, Kyumin Lee |
| 2024 | CIKM | Behavior-Dependent Linear Recurrent Units for Efficient Sequential Recommendation. | Chengkai Liu, Jianghao Lin, Hanzhou Liu, Jianling Wang, James Caverlee |
| 2024 | ECIR | Federated Conversational Recommender Systems. | Allen Lin, Jianling Wang, Ziwei Zhu, James Caverlee |
| 2024 | ECIR | Countering Mainstream Bias via End-to-End Adaptive Local Learning. | Jinhao Pan, Ziwei Zhu, Jianling Wang, Allen Lin, James Caverlee |
| 2024 | RecSys | LLMs for User Interest Exploration in Large-scale Recommendation Systems. | 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 |
| 2024 | WWW | Everything Perturbed All at Once: Enabling Differentiable Graph Attacks. | Haoran Liu, Bokun Wang, Jianling Wang, Xiangjue Dong, Tianbao Yang, James Caverlee |
| 2024 | WWW | Large Language Models as Data Augmenters for Cold-Start Item Recommendation. | Jianling Wang, Haokai Lu, James Caverlee, Ed H. Chi, Minmin Chen |
| 2024 | WSDM | Fresh Content Recommendation at Scale: A Multi-funnel Solution and the Potential of LLMs. | Jianling Wang, Haokai Lu, Minmin Chen |
| 2023 | EACL | Closed-book Question Generation via Contrastive Learning. | Xiangjue Dong, Jiaying Lu, Jianling Wang, James Caverlee |
| 2023 | KDD | Learning Strong Graph Neural Networks with Weak Information. | Yixin Liu, Kaize Ding, Jianling Wang, Vincent C. S. Lee, Huan Liu, Shirui Pan |
| 2023 | KDD | Fresh Content Needs More Attention: Multi-funnel Fresh Content Recommendation. | 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 |
| 2023 | WWW | Enhancing User Personalization in Conversational Recommenders. | Allen Lin, Ziwei Zhu, Jianling Wang, James Caverlee |
| 2022 | AAAI | Meta Propagation Networks for Graph Few-shot Semi-supervised Learning. | Kaize Ding, Jianling Wang, James Caverlee, Huan Liu |
| 2022 | CIKM | Quantifying and Mitigating Popularity Bias in Conversational Recommender Systems. | Allen Lin, Jianling Wang, Ziwei Zhu, James Caverlee |
| 2022 | WWW | Learning to Augment for Casual User Recommendation. | Jianling Wang, Ya Le, Bo Chang, Yuyan Wang, Ed H. Chi, Minmin Chen |
| 2021 | SIGIR | Sequential Recommendation for Cold-start Users with Meta Transitional Learning. | Jianling Wang, Kaize Ding, James Caverlee |
| 2021 | WSDM | Popularity-Opportunity Bias in Collaborative Filtering. | Ziwei Zhu, Yun He, Xing Zhao, Yin Zhang, Jianling Wang, James Caverlee |
| 2021 | SDM | Session-based Recommendation with Hypergraph Attention Networks. | Jianling Wang, Kaize Ding, Ziwei Zhu, James Caverlee |
| 2020 | CIKM | Graph Prototypical Networks for Few-shot Learning on Attributed Networks. | Kaize Ding, Jianling Wang, Jundong Li, Kai Shu, Chenghao Liu, Huan Liu |
| 2020 | ECIR | Recommending Music Curators: A Neural Style-Aware Approach. | Jianling Wang, James Caverlee |
| 2020 | EMNLP | Be More with Less: Hypergraph Attention Networks for Inductive Text Classification. | Kaize Ding, Jianling Wang, Jundong Li, Dingcheng Li, Huan Liu |
| 2020 | WWW | Adaptive Hierarchical Translation-based Sequential Recommendation. | Yin Zhang, Yun He, Jianling Wang, James Caverlee |
| 2020 | SIGIR | ADORE: Aspect Dependent Online REview Labeling for Review Generation. | Parisa Kaghazgaran, Jianling Wang, Ruihong Huang, James Caverlee |
| 2020 | SIGIR | Next-item Recommendation with Sequential Hypergraphs. | Jianling Wang, Kaize Ding, Liangjie Hong, Huan Liu, James Caverlee |
| 2020 | SIGIR | Measuring and Mitigating Item Under-Recommendation Bias in Personalized Ranking Systems. | Ziwei Zhu, Jianling Wang, James Caverlee |
| 2020 | WSDM | Key Opinion Leaders in Recommendation Systems: Opinion Elicitation and Diffusion. | Jianling Wang, Kaize Ding, Ziwei Zhu, Yin Zhang, James Caverlee |
| 2020 | WSDM | 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 |
| 2020 | WSDM | User Recommendation in Content Curation Platforms. | Jianling Wang, Ziwei Zhu, James Caverlee |
| 2019 | CIKM | A Hierarchical Self-Attentive Model for Recommending User-Generated Item Lists. | Yun He, Jianling Wang, Wei Niu, James Caverlee |
| 2019 | WWW | Improving Top-K Recommendation via JointCollaborative Autoencoders. | Ziwei Zhu, Jianling Wang, James Caverlee |
| 2019 | WSDM | Recurrent Recommendation with Local Coherence. | Jianling Wang, James Caverlee |
| 2017 | WSC | Stockyard: A discrete event-based stock market exchange simulator. | Jianling Wang, Vivek George, Tucker Balch, Maria Hybinette |
| 2012 | SMC | The key role of psychological empowerment in boundary employee units based on gray preference. | Jianling Wang, Lirong Jian, Xuejiao Liu |
| 2011 | ICNC | Optimal path solution of urban traffic road. | Yongsheng Xu, Jianling Wang |
| 2009 | SMC | Study on 2-tuple Linguistic Assessment Method based on Grey Cluster with Incomplete Attribute Weight Information. | Chuanmin Mi, Sifeng Liu, Yaoguo Dang, Jianling Wang, Zhengpeng Wu |
| 2009 | SMC | The Status Quo and Supply Prediction for Suzhou Sci-Tech Innovative Talents. | Jianling Wang, Sifeng Liu, Lu Qin, Chuanmin Mi |
| 2008 | SMC | Grey multi-attribute decision-making method based on two-phase optimization. | Dang Luo, Dixin Luo, Naiming Xie, Jianling Wang |
| 2008 | SMC | Evaluation of customer satisfaction in automobile after-sales service based on grey incidence analysis. | Jianling Wang, Sifeng Liu, Yuan-qi Wang, Naiming Xie |
| 2007 | SMC | Consumer evaluation of service brand extension based on gray preference analysis. | Jianling Wang, Sifeng Liu, Yaoguo Dang, Hai-jian Liu |
| 2006 | SMC | Forecasting OF LYG Port Effect On LX Highway Traffic Based ON GM (1, 1). | Jianling Wang, Sifeng Liu, Zhigeng Fang, Wei-Hang Wang, Liu Shen |