Jianling Wang - RankMe

84 papers A* 12A 14B 7Misc 2Journal 40Unranked 9

Year	Rank	Type	Title / Venue / Authors
2025	A	`conf`	Balancing Fine-tuning and RAG: A Hybrid Strategy for Dynamic LLM Recommendation Updates. RecSys 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
2025	J	`jnl`	Balancing Fine-tuning and RAG: A Hybrid Strategy for Dynamic LLM Recommendation Updates. CoRR 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
2025	J	`jnl`	Cold-Start Recommendation towards the Era of Large Language Models (LLMs): A Comprehensive Survey and Roadmap. CoRR Weizhi Zhang, Yuanchen Bei, Liangwei Yang, Henry Peng Zou, Peilin Zhou, Aiwei Liu, Yinghui Li, Hao Chen, Jianling Wang, Yu Wang, Feiran Huang, Sheng Zhou, Jiajun Bu, Allen Lin, James Caverlee, Fakhri Karray, Irwin King, Philip S. Yu
2025	J	`jnl`	Federated Conversational Recommender System. CoRR Allen Lin, Jianling Wang, Ziwei Zhu, James Caverlee
2025	—	`conf`	Flow Matching for Collaborative Filtering. KDD (2) Chengkai Liu, Yangtian Zhang, Jianling Wang, Rex Ying, James Caverlee
2025	J	`jnl`	Flow Matching for Collaborative Filtering. CoRR Chengkai Liu, Yangtian Zhang, Jianling Wang, Rex Ying, James Caverlee
2025	A*	`conf`	SGSST: Scaling Gaussian Splatting Style Transfer. CVPR Bruno Galerne, Jianling Wang, Lara Raad, Jean-Michel Morel
2025	J	`jnl`	Serendipitous Recommendation with Multimodal LLM. CoRR Haoting Wang, Jianling Wang, Hao Li, Fangjun Yi, Mengyu Fu, Youwei Zhang, Yifan Liu, Liang Liu, Minmin Chen, Ed H. Chi, Lichan Hong, Haokai Lu
2025	—	`conf`	User Feedback Alignment for LLM-powered Exploration in Large-scale Recommendation Systems. ACL (6) 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	J	`jnl`	User Feedback Alignment for LLM-powered Exploration in Large-scale Recommendation Systems. CoRR 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
2024	A	`conf`	Behavior-Dependent Linear Recurrent Units for Efficient Sequential Recommendation. CIKM Chengkai Liu, Jianghao Lin, Hanzhou Liu, Jianling Wang, James Caverlee
2024	J	`jnl`	Behavior-Dependent Linear Recurrent Units for Efficient Sequential Recommendation. CoRR Chengkai Liu, Jianghao Lin, Hanzhou Liu, Jianling Wang, James Caverlee
2024	—	`conf`	Countering Mainstream Bias via End-to-End Adaptive Local Learning. ECIR (5) Jinhao Pan, Ziwei Zhu, Jianling Wang, Allen Lin, James Caverlee
2024	J	`jnl`	Countering Mainstream Bias via End-to-End Adaptive Local Learning. CoRR Jinhao Pan, Ziwei Zhu, Jianling Wang, Allen Lin, James Caverlee
2024	J	`jnl`	Data-efficient graph learning: Problems, progress, and prospects. AI Mag. Kaize Ding, Yixin Liu, Chuxu Zhang, Jianling Wang
2024	—	`conf`	Empowering Large Language Models for Textual Data Augmentation. ACL (Findings) Yichuan Li, Kaize Ding, Jianling Wang, Kyumin Lee
2024	J	`jnl`	Empowering Large Language Models for Textual Data Augmentation. CoRR Yichuan Li, Kaize Ding, Jianling Wang, Kyumin Lee
2024	—	`conf`	Everything Perturbed All at Once: Enabling Differentiable Graph Attacks. WWW (Companion Volume) Haoran Liu, Bokun Wang, Jianling Wang, Xiangjue Dong, Tianbao Yang, James Caverlee
2024	—	`conf`	Federated Conversational Recommender Systems. ECIR (5) Allen Lin, Jianling Wang, Ziwei Zhu, James Caverlee
2024	A	`conf`	Fresh Content Recommendation at Scale: A Multi-funnel Solution and the Potential of LLMs. WSDM Jianling Wang, Haokai Lu, Minmin Chen
2024	A	`conf`	LLMs for User Interest Exploration in Large-scale Recommendation Systems. RecSys 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	J	`jnl`	LLMs for User Interest Exploration: A Hybrid Approach. CoRR 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	—	`conf`	Large Language Models as Data Augmenters for Cold-Start Item Recommendation. WWW (Companion Volume) Jianling Wang, Haokai Lu, James Caverlee, Ed H. Chi, Minmin Chen
2024	J	`jnl`	Large Language Models as Data Augmenters for Cold-Start Item Recommendation. CoRR Jianling Wang, Haokai Lu, James Caverlee, Ed H. Chi, Minmin Chen
2024	J	`jnl`	Mamba4Rec: Towards Efficient Sequential Recommendation with Selective State Space Models. CoRR Chengkai Liu, Jianghao Lin, Jianling Wang, Hanzhou Liu, James Caverlee
2024	J	`jnl`	Robust Graph Meta-Learning for Weakly Supervised Few-Shot Node Classification. ACM Trans. Knowl. Discov. Data Kaize Ding, Jianling Wang, Jundong Li, James Caverlee, Huan Liu
2024	J	`jnl`	SGSST: Scaling Gaussian Splatting StyleTransfer. CoRR Bruno Galerne, Jianling Wang, Lara Raad, Jean-Michel Morel
2024	J	`jnl`	TwinCL: A Twin Graph Contrastive Learning Model for Collaborative Filtering. CoRR Chengkai Liu, Jianling Wang, James Caverlee
2023	A	`conf`	Closed-book Question Generation via Contrastive Learning. EACL Xiangjue Dong, Jiaying Lu, Jianling Wang, James Caverlee
2023	A*	`conf`	Enhancing User Personalization in Conversational Recommenders. WWW Allen Lin, Ziwei Zhu, Jianling Wang, James Caverlee
2023	J	`jnl`	Enhancing User Personalization in Conversational Recommenders. CoRR Allen Lin, Ziwei Zhu, Jianling Wang, James Caverlee
2023	J	`jnl`	Everything Perturbed All at Once: Enabling Differentiable Graph Attacks. CoRR Haoran Liu, Bokun Wang, Jianling Wang, Xiangjue Dong, Tianbao Yang, James Caverlee
2023	A*	`conf`	Fresh Content Needs More Attention: Multi-funnel Fresh Content Recommendation. KDD 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	J	`jnl`	Fresh Content Needs More Attention: Multi-funnel Fresh Content Recommendation. CoRR 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
2023	A*	`conf`	Learning Strong Graph Neural Networks with Weak Information. KDD Yixin Liu, Kaize Ding, Jianling Wang, Vincent C. S. Lee, Huan Liu, Shirui Pan
2023	J	`jnl`	Learning Strong Graph Neural Networks with Weak Information. CoRR Yixin Liu, Kaize Ding, Jianling Wang, Vincent C. S. Lee, Huan Liu, Shirui Pan
2022	J	`jnl`	Closed-book Question Generation via Contrastive Learning. CoRR Xiangjue Dong, Jiaying Lu, Jianling Wang, James Caverlee
2022	J	`jnl`	Energy efficiency maximization for IRS-assisted NOMA networks. Phys. Commun. Jianling Wang, Jing Li
2022	J	`jnl`	Item Relationship Graph Neural Networks for E-Commerce. IEEE Trans. Neural Networks Learn. Syst. Weiwen Liu, Yin Zhang, Jianling Wang, Yun He, James Caverlee, Patrick P. K. Chan, Daniel S. Yeung, Pheng-Ann Heng
2022	A*	`conf`	Learning to Augment for Casual User Recommendation. WWW Jianling Wang, Ya Le, Bo Chang, Yuyan Wang, Ed H. Chi, Minmin Chen
2022	J	`jnl`	Learning to Augment for Casual User Recommendation. CoRR Jianling Wang, Ya Le, Bo Chang, Yuyan Wang, Ed H. Chi, Minmin Chen
2022	A*	`conf`	Meta Propagation Networks for Graph Few-shot Semi-supervised Learning. AAAI Kaize Ding, Jianling Wang, James Caverlee, Huan Liu
2022	A	`conf`	Quantifying and Mitigating Popularity Bias in Conversational Recommender Systems. CIKM Allen Lin, Jianling Wang, Ziwei Zhu, James Caverlee
2022	J	`jnl`	Quantifying and Mitigating Popularity Bias in Conversational Recommender Systems. CoRR Allen Lin, Jianling Wang, Ziwei Zhu, James Caverlee
2022	J	`jnl`	Spectral efficiency maximization for IRS-assisted wireless communication in cognitive radio networks. Phys. Commun. Jianling Wang
2022	J	`jnl`	Towards Fair Conversational Recommender Systems. CoRR Allen Lin, Ziwei Zhu, Jianling Wang, James Caverlee
2021	J	`jnl`	Exploring Heterogeneous Metadata for Video Recommendation with Two-tower Model. CoRR Jianling Wang, Ainur Yessenalina, Alireza Roshan Ghias
2021	J	`jnl`	Fairness-aware Personalized Ranking Recommendation via Adversarial Learning. CoRR Ziwei Zhu, Jianling Wang, James Caverlee
2021	J	`jnl`	Meta Propagation Networks for Graph Few-shot Semi-supervised Learning. CoRR Kaize Ding, Jianling Wang, James Caverlee, Huan Liu
2021	A	`conf`	Popularity-Opportunity Bias in Collaborative Filtering. WSDM Ziwei Zhu, Yun He, Xing Zhao, Yin Zhang, Jianling Wang, James Caverlee
2021	A*	`conf`	Sequential Recommendation for Cold-start Users with Meta Transitional Learning. SIGIR Jianling Wang, Kaize Ding, James Caverlee
2021	J	`jnl`	Sequential Recommendation for Cold-start Users with Meta Transitional Learning. CoRR Jianling Wang, Kaize Ding, James Caverlee
2021	A	`conf`	Session-based Recommendation with Hypergraph Attention Networks. SDM Jianling Wang, Kaize Ding, Ziwei Zhu, James Caverlee
2021	J	`jnl`	Session-based Recommendation with Hypergraph Attention Networks. CoRR Jianling Wang, Kaize Ding, Ziwei Zhu, James Caverlee
2021	J	`jnl`	Weakly-supervised Graph Meta-learning for Few-shot Node Classification. CoRR Kaize Ding, Jianling Wang, Jundong Li, James Caverlee, Huan Liu
2020	A*	`conf`	ADORE: Aspect Dependent Online REview Labeling for Review Generation. SIGIR Parisa Kaghazgaran, Jianling Wang, Ruihong Huang, James Caverlee
2020	A*	`conf`	Adaptive Hierarchical Translation-based Sequential Recommendation. WWW Yin Zhang, Yun He, Jianling Wang, James Caverlee
2020	—	`conf`	Be More with Less: Hypergraph Attention Networks for Inductive Text Classification. EMNLP (1) Kaize Ding, Jianling Wang, Jundong Li, Dingcheng Li, Huan Liu
2020	J	`jnl`	Be More with Less: Hypergraph Attention Networks for Inductive Text Classification. CoRR Kaize Ding, Jianling Wang, Jundong Li, Dingcheng Li, Huan Liu
2020	A	`conf`	Graph Prototypical Networks for Few-shot Learning on Attributed Networks. CIKM Kaize Ding, Jianling Wang, Jundong Li, Kai Shu, Chenghao Liu, Huan Liu
2020	J	`jnl`	Graph Prototypical Networks for Few-shot Learning on Attributed Networks. CoRR Kaize Ding, Jianling Wang, Jundong Li, Kai Shu, Chenghao Liu, Huan Liu
2020	A	`conf`	Key Opinion Leaders in Recommendation Systems: Opinion Elicitation and Diffusion. WSDM Jianling Wang, Kaize Ding, Ziwei Zhu, Yin Zhang, James Caverlee
2020	A*	`conf`	Measuring and Mitigating Item Under-Recommendation Bias in Personalized Ranking Systems. SIGIR Ziwei Zhu, Jianling Wang, James Caverlee
2020	A*	`conf`	Next-item Recommendation with Sequential Hypergraphs. SIGIR Jianling Wang, Kaize Ding, Liangjie Hong, Huan Liu, James Caverlee
2020	—	`conf`	Recommending Music Curators: A Neural Style-Aware Approach. ECIR (1) Jianling Wang, James Caverlee
2020	A	`conf`	Time to Shop for Valentine's Day: Shopping Occasions and Sequential Recommendation in E-commerce. WSDM Jianling Wang, Raphael Louca, Diane Hu, Caitlin Cellier, James Caverlee, Liangjie Hong
2020	A	`conf`	User Recommendation in Content Curation Platforms. WSDM Jianling Wang, Ziwei Zhu, James Caverlee
2019	A	`conf`	A Hierarchical Self-Attentive Model for Recommending User-Generated Item Lists. CIKM Yun He, Jianling Wang, Wei Niu, James Caverlee
2019	J	`jnl`	A Hierarchical Self-Attentive Model for Recommending User-Generated Item Lists. CoRR Yun He, Jianling Wang, Wei Niu, James Caverlee
2019	A*	`conf`	Improving Top-K Recommendation via JointCollaborative Autoencoders. WWW Ziwei Zhu, Jianling Wang, James Caverlee
2019	A	`conf`	Recurrent Recommendation with Local Coherence. WSDM Jianling Wang, James Caverlee
2018	J	`jnl`	Fairness-Aware Recommendation of Information Curators. CoRR Ziwei Zhu, Jianling Wang, Yin Zhang, James Caverlee
2017	Misc	`conf`	Stockyard: A discrete event-based stock market exchange simulator. WSC Jianling Wang, Vivek George, Tucker Balch, Maria Hybinette
2015	J	`jnl`	Examining micro-level knowledge sharing discussions in online communities. Inf. Syst. Frontiers G. Alan Wang, Xiaomo Liu, Jianling Wang, Min Zhang, Weiguo Fan
2015	J	`jnl`	Social Media Adoption and Corporate Disclosure. J. Inf. Syst. Mi (Jamie) Zhou, Lijun (Gillian) Lei, Jianling Wang, Weiguo (Patrick) Fan, Alan Gang Wang
2012	B	`conf`	The key role of psychological empowerment in boundary employee units based on gray preference. SMC Jianling Wang, Lirong Jian, Xuejiao Liu
2011	Misc	`conf`	Optimal path solution of urban traffic road. ICNC Yongsheng Xu, Jianling Wang
2010	J	`jnl`	The effect of standardization and customization on service satisfaction. J. Serv. Sci. Res. Guangping Wang, Jianling Wang, Xiaoqin Ma, Robin G. Qiu
2009	B	`conf`	Study on 2-tuple Linguistic Assessment Method based on Grey Cluster with Incomplete Attribute Weight Information. SMC Chuanmin Mi, Sifeng Liu, Yaoguo Dang, Jianling Wang, Zhengpeng Wu
2009	B	`conf`	The Status Quo and Supply Prediction for Suzhou Sci-Tech Innovative Talents. SMC Jianling Wang, Sifeng Liu, Lu Qin, Chuanmin Mi
2008	B	`conf`	Evaluation of customer satisfaction in automobile after-sales service based on grey incidence analysis. SMC Jianling Wang, Sifeng Liu, Yuan-qi Wang, Naiming Xie
2008	B	`conf`	Grey multi-attribute decision-making method based on two-phase optimization. SMC Dang Luo, Dixin Luo, Naiming Xie, Jianling Wang
2007	B	`conf`	Consumer evaluation of service brand extension based on gray preference analysis. SMC Jianling Wang, Sifeng Liu, Yaoguo Dang, Hai-jian Liu
2006	B	`conf`	Forecasting OF LYG Port Effect On LX Highway Traffic Based ON GM (1, 1). SMC Jianling Wang, Sifeng Liu, Zhigeng Fang, Wei-Hang Wang, Liu Shen