Forecasting OF LYG Port Effect On LX Highway Traffic Based ON GM (1, 1). - Jianling Wang; Sifeng Liu; Zhigeng Fang; Wei-Hang Wang 001; Liu Shen (SMC, 2006)

Consumer evaluation of service brand extension based on gray preference analysis. - Jianling Wang; Sifeng Liu; Yaoguo Dang; Hai-jian Liu (SMC, 2007)

Grey multi-attribute decision-making method based on two-phase optimization. - Dang Luo; Dixin Luo; Naiming Xie; Jianling Wang (SMC, 2008)

Evaluation of customer satisfaction in automobile after-sales service based on grey incidence analysis. - Jianling Wang; Sifeng Liu; Yuan-qi Wang; Naiming Xie (SMC, 2008)

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 (SMC, 2009)

The Status Quo and Supply Prediction for Suzhou Sci-Tech Innovative Talents. - Jianling Wang; Sifeng Liu; Lu Qin 002; Chuanmin Mi (SMC, 2009)

The effect of standardization and customization on service satisfaction. - Guangping Wang; Jianling Wang; Xiaoqin Ma; Robin G. Qiu (J. Serv. Sci. Res., 2010)

Optimal path solution of urban traffic road. - Yongsheng Xu; Jianling Wang (ICNC, 2011)

The key role of psychological empowerment in boundary employee units based on gray preference. - Jianling Wang; Lirong Jian; Xuejiao Liu (SMC, 2012)

Examining micro-level knowledge sharing discussions in online communities. - G. Alan Wang; Xiaomo Liu; Jianling Wang; Min Zhang 014; Weiguo Fan (Inf. Syst. Frontiers, 2015)

Social Media Adoption and Corporate Disclosure. - Mi (Jamie) Zhou; Lijun (Gillian) Lei; Jianling Wang; Weiguo (Patrick) Fan; Alan Gang Wang (J. Inf. Syst., 2015)

Stockyard: A discrete event-based stock market exchange simulator. - Jianling Wang; Vivek George; Tucker Balch; Maria Hybinette (WSC, 2017)

Fairness-Aware Recommendation of Information Curators. - Ziwei Zhu 001; Jianling Wang; Yin Zhang 011; James Caverlee (CoRR, 2018)

A Hierarchical Self-Attentive Model for Recommending User-Generated Item Lists. - Yun He 001; Jianling Wang; Wei Niu 003; James Caverlee (CIKM, 2019)

Recurrent Recommendation with Local Coherence. - Jianling Wang; James Caverlee (WSDM, 2019)

Improving Top-K Recommendation via JointCollaborative Autoencoders. - Ziwei Zhu 001; Jianling Wang; James Caverlee (WWW, 2019)

Graph Prototypical Networks for Few-shot Learning on Attributed Networks. - Kaize Ding; Jianling Wang; Jundong Li; Kai Shu; Chenghao Liu; Huan Liu 001 (CIKM, 2020)

Recommending Music Curators: A Neural Style-Aware Approach. - Jianling Wang; James Caverlee (ECIR (1), 2020)

Be More with Less: Hypergraph Attention Networks for Inductive Text Classification. - Kaize Ding; Jianling Wang; Jundong Li; Dingcheng Li; Huan Liu 001 (EMNLP (1), 2020)

ADORE: Aspect Dependent Online REview Labeling for Review Generation. - Parisa Kaghazgaran; Jianling Wang; Ruihong Huang; James Caverlee (SIGIR, 2020)

Next-item Recommendation with Sequential Hypergraphs. - Jianling Wang; Kaize Ding; Liangjie Hong; Huan Liu 001; James Caverlee (SIGIR, 2020)

Measuring and Mitigating Item Under-Recommendation Bias in Personalized Ranking Systems. - Ziwei Zhu 001; Jianling Wang; James Caverlee (SIGIR, 2020)

Key Opinion Leaders in Recommendation Systems: Opinion Elicitation and Diffusion. - Jianling Wang; Kaize Ding; Ziwei Zhu 001; Yin Zhang 011; James Caverlee (WSDM, 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, 2020)

User Recommendation in Content Curation Platforms. - Jianling Wang; Ziwei Zhu 001; James Caverlee (WSDM, 2020)

Adaptive Hierarchical Translation-based Sequential Recommendation. - Yin Zhang 011; Yun He 001; Jianling Wang; James Caverlee (WWW, 2020)

Session-based Recommendation with Hypergraph Attention Networks. - Jianling Wang; Kaize Ding; Ziwei Zhu 001; James Caverlee (SDM, 2021)

Sequential Recommendation for Cold-start Users with Meta Transitional Learning. - Jianling Wang; Kaize Ding; James Caverlee (SIGIR, 2021)

Popularity-Opportunity Bias in Collaborative Filtering. - Ziwei Zhu 001; Yun He 001; Xing Zhao 003; Yin Zhang 011; Jianling Wang; James Caverlee (WSDM, 2021)

Fairness-aware Personalized Ranking Recommendation via Adversarial Learning. - Ziwei Zhu 001; Jianling Wang; James Caverlee (CoRR, 2021)

Weakly-supervised Graph Meta-learning for Few-shot Node Classification. - Kaize Ding; Jianling Wang; Jundong Li; James Caverlee; Huan Liu 001 (CoRR, 2021)

Exploring Heterogeneous Metadata for Video Recommendation with Two-tower Model. - Jianling Wang; Ainur Yessenalina; Alireza Roshan Ghias (CoRR, 2021)

Meta Propagation Networks for Graph Few-shot Semi-supervised Learning. - Kaize Ding; Jianling Wang; James Caverlee; Huan Liu 001 (AAAI, 2022)

Quantifying and Mitigating Popularity Bias in Conversational Recommender Systems. - Allen Lin; Jianling Wang; Ziwei Zhu 001; James Caverlee (CIKM, 2022)

Learning to Augment for Casual User Recommendation. - Jianling Wang; Ya Le; Bo Chang 002; Yuyan Wang; Ed H. Chi; Minmin Chen (WWW, 2022)

Towards Fair Conversational Recommender Systems. - Allen Lin; Ziwei Zhu 001; Jianling Wang; James Caverlee (CoRR, 2022)

Spectral efficiency maximization for IRS-assisted wireless communication in cognitive radio networks. - Jianling Wang (Phys. Commun., 2022)

Energy efficiency maximization for IRS-assisted NOMA networks. - Jianling Wang; Jing Li (Phys. Commun., 2022)

Item Relationship Graph Neural Networks for E-Commerce. - Weiwen Liu; Yin Zhang 011; Jianling Wang; Yun He 001; James Caverlee; Patrick P. K. Chan; Daniel S. Yeung; Pheng-Ann Heng (IEEE Trans. Neural Networks Learn. Syst., 2022)

Closed-book Question Generation via Contrastive Learning. - Xiangjue Dong; Jiaying Lu 001; Jianling Wang; James Caverlee (EACL, 2023)

Learning Strong Graph Neural Networks with Weak Information. - Yixin Liu 001; Kaize Ding; Jianling Wang; Vincent C. S. Lee; Huan Liu 001; Shirui Pan (KDD, 2023)

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; et al. (KDD, 2023)

Enhancing User Personalization in Conversational Recommenders. - Allen Lin; Ziwei Zhu 001; Jianling Wang; James Caverlee (WWW, 2023)

Empowering Large Language Models for Textual Data Augmentation. - Yichuan Li 001; Kaize Ding; Jianling Wang; Kyumin Lee (ACL (Findings), 2024)

Behavior-Dependent Linear Recurrent Units for Efficient Sequential Recommendation. - Chengkai Liu; Jianghao Lin; Hanzhou Liu; Jianling Wang; James Caverlee (CIKM, 2024)

Federated Conversational Recommender Systems. - Allen Lin; Jianling Wang; Ziwei Zhu 001; James Caverlee (ECIR (5), 2024)

Countering Mainstream Bias via End-to-End Adaptive Local Learning. - Jinhao Pan; Ziwei Zhu 001; Jianling Wang; Allen Lin; James Caverlee (ECIR (5), 2024)

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 (RecSys, 2024)

Fresh Content Recommendation at Scale: A Multi-funnel Solution and the Potential of LLMs. - Jianling Wang; Haokai Lu; Minmin Chen (WSDM, 2024)

Everything Perturbed All at Once: Enabling Differentiable Graph Attacks. - Haoran Liu; Bokun Wang; Jianling Wang; Xiangjue Dong; Tianbao Yang; James Caverlee (WWW (Companion Volume), 2024)

Large Language Models as Data Augmenters for Cold-Start Item Recommendation. - Jianling Wang; Haokai Lu; James Caverlee; Ed H. Chi; Minmin Chen (WWW (Companion Volume), 2024)

Data-efficient graph learning: Problems, progress, and prospects. - Kaize Ding; Yixin Liu 001; Chuxu Zhang; Jianling Wang (AI Mag., 2024)

Mamba4Rec: Towards Efficient Sequential Recommendation with Selective State Space Models. - Chengkai Liu; Jianghao Lin; Jianling Wang; Hanzhou Liu; James Caverlee (CoRR, 2024)

LLMs for User Interest Exploration: A Hybrid Approach. - 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 (CoRR, 2024)

TwinCL: A Twin Graph Contrastive Learning Model for Collaborative Filtering. - Chengkai Liu; Jianling Wang; James Caverlee (CoRR, 2024)

SGSST: Scaling Gaussian Splatting StyleTransfer. - Bruno Galerne; Jianling Wang; Lara Raad; Jean-Michel Morel (CoRR, 2024)

Robust Graph Meta-Learning for Weakly Supervised Few-Shot Node Classification. - Kaize Ding; Jianling Wang; Jundong Li; James Caverlee; Huan Liu 001 (ACM Trans. Knowl. Discov. Data, 2024)

SGSST: Scaling Gaussian Splatting Style Transfer. - Bruno Galerne; Jianling Wang; Lara Raad; Jean-Michel Morel (CVPR, 2025)

Cold-Start Recommendation towards the Era of Large Language Models (LLMs): A Comprehensive Survey and Roadmap. - Weizhi Zhang 001; Yuanchen Bei; Liangwei Yang; Henry Peng Zou; Peilin Zhou; Aiwei Liu; Yinghui Li; Hao Chen 062; Jianling Wang; Yu Wang 158; Feiran Huang; Sheng Zhou 004; et al. (CoRR, 2025)

Flow Matching for Collaborative Filtering. - Chengkai Liu; Yangtian Zhang; Jianling Wang; Rex Ying; James Caverlee (CoRR, 2025)

Federated Conversational Recommender System. - Allen Lin; Jianling Wang; Ziwei Zhu 001; James Caverlee (CoRR, 2025)

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; et al. (CoRR, 2025)

Serendipitous Recommendation with Multimodal LLM. - Haoting Wang; Jianling Wang; Hao Li; Fangjun Yi; Mengyu Fu; Youwei Zhang; Yifan Liu; Liang Liu 017; Minmin Chen; Ed H. Chi; Lichan Hong; Haokai Lu (CoRR, 2025)