default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDJianling Wang
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
[j8]Kaize Ding
, Yixin Liu, Chuxu Zhang, Jianling Wang:
Data-efficient graph learning: Problems, progress, and prospects. AI Mag. 45(4): 549-560 (2024)- [j7]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): 83:1-83:18 (2024) - [c40]Yichuan Li, Kaize Ding, Jianling Wang, Kyumin Lee:
Empowering Large Language Models for Textual Data Augmentation. ACL (Findings) 2024: 12734-12751 - [c39]Chengkai Liu, Jianghao Lin, Hanzhou Liu, Jianling Wang, James Caverlee:
Behavior-Dependent Linear Recurrent Units for Efficient Sequential Recommendation. CIKM 2024: 1430-1440 - [c38]Allen Lin, Jianling Wang, Ziwei Zhu, James Caverlee:
Federated Conversational Recommender Systems. ECIR (5) 2024: 50-65 - [c37]Jinhao Pan, Ziwei Zhu, Jianling Wang, Allen Lin, James Caverlee:
Countering Mainstream Bias via End-to-End Adaptive Local Learning. ECIR (5) 2024: 75-89 - [c36]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 in Large-scale Recommendation Systems. RecSys 2024: 872-877 - [c35]Jianling Wang, Haokai Lu, Minmin Chen:
Fresh Content Recommendation at Scale: A Multi-funnel Solution and the Potential of LLMs. WSDM 2024: 1186-1187 - [c34]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: 485-488 - [c33]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: 726-729 - [i25]Jianling Wang, Haokai Lu, James Caverlee, Ed H. Chi, Minmin Chen:
Large Language Models as Data Augmenters for Cold-Start Item Recommendation. CoRR abs/2402.11724 (2024) - [i24]Chengkai Liu, Jianghao Lin, Jianling Wang, Hanzhou Liu, James Caverlee:
Mamba4Rec: Towards Efficient Sequential Recommendation with Selective State Space Models. CoRR abs/2403.03900 (2024) - [i23]Jinhao Pan, Ziwei Zhu, Jianling Wang, Allen Lin, James Caverlee:
Countering Mainstream Bias via End-to-End Adaptive Local Learning. CoRR abs/2404.08887 (2024) - [i22]Yichuan Li, Kaize Ding, Jianling Wang, Kyumin Lee:
Empowering Large Language Models for Textual Data Augmentation. CoRR abs/2404.17642 (2024) - [i21]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 abs/2405.16363 (2024) - [i20]Chengkai Liu, Jianghao Lin, Hanzhou Liu, Jianling Wang, James Caverlee:
Behavior-Dependent Linear Recurrent Units for Efficient Sequential Recommendation. CoRR abs/2406.12580 (2024) - [i19]Chengkai Liu, Jianling Wang, James Caverlee:
TwinCL: A Twin Graph Contrastive Learning Model for Collaborative Filtering. CoRR abs/2409.19169 (2024) - 2023
- [c32]Xiangjue Dong, Jiaying Lu, Jianling Wang, James Caverlee:
Closed-book Question Generation via Contrastive Learning. EACL 2023: 3142-3154 - [c31]Yixin Liu, Kaize Ding, Jianling Wang, Vincent C. S. Lee, Huan Liu, Shirui Pan:
Learning Strong Graph Neural Networks with Weak Information. KDD 2023: 1559-1571 - [c30]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: 5082-5091 - [c29]Allen Lin, Ziwei Zhu, Jianling Wang, James Caverlee:
Enhancing User Personalization in Conversational Recommenders. WWW 2023: 770-778 - [i18]Allen Lin, Ziwei Zhu, Jianling Wang, James Caverlee:
Enhancing User Personalization in Conversational Recommenders. CoRR abs/2302.06656 (2023) - [i17]Yixin Liu, Kaize Ding, Jianling Wang, Vincent C. S. Lee, Huan Liu, Shirui Pan:
Learning Strong Graph Neural Networks with Weak Information. CoRR abs/2305.18457 (2023) - [i16]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 abs/2306.01720 (2023) - [i15]Haoran Liu, Bokun Wang, Jianling Wang, Xiangjue Dong, Tianbao Yang, James Caverlee:
Everything Perturbed All at Once: Enabling Differentiable Graph Attacks. CoRR abs/2308.15614 (2023) - 2022
- [j6]Jianling Wang:
Spectral efficiency maximization for IRS-assisted wireless communication in cognitive radio networks. Phys. Commun. 50: 101528 (2022) - [j5]Jianling Wang, Jing Li:
Energy efficiency maximization for IRS-assisted NOMA networks. Phys. Commun. 52: 101647 (2022) - [j4]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): 4785-4799 (2022) - [c28]Kaize Ding, Jianling Wang, James Caverlee, Huan Liu:
Meta Propagation Networks for Graph Few-shot Semi-supervised Learning. AAAI 2022: 6524-6531 - [c27]Allen Lin, Jianling Wang, Ziwei Zhu, James Caverlee:
Quantifying and Mitigating Popularity Bias in Conversational Recommender Systems. CIKM 2022: 1238-1247 - [c26]Jianling Wang, Ya Le, Bo Chang, Yuyan Wang, Ed H. Chi, Minmin Chen:
Learning to Augment for Casual User Recommendation. WWW 2022: 2183-2194 - [i14]Jianling Wang, Ya Le, Bo Chang, Yuyan Wang, Ed H. Chi, Minmin Chen:
Learning to Augment for Casual User Recommendation. CoRR abs/2204.00926 (2022) - [i13]Allen Lin, Jianling Wang, Ziwei Zhu, James Caverlee:
Quantifying and Mitigating Popularity Bias in Conversational Recommender Systems. CoRR abs/2208.03298 (2022) - [i12]Allen Lin, Ziwei Zhu, Jianling Wang, James Caverlee:
Towards Fair Conversational Recommender Systems. CoRR abs/2208.03854 (2022) - [i11]Xiangjue Dong, Jiaying Lu, Jianling Wang, James Caverlee:
Closed-book Question Generation via Contrastive Learning. CoRR abs/2210.06781 (2022) - 2021
- [c25]Jianling Wang, Kaize Ding, Ziwei Zhu, James Caverlee:
Session-based Recommendation with Hypergraph Attention Networks. SDM 2021: 82-90 - [c24]Jianling Wang, Kaize Ding, James Caverlee:
Sequential Recommendation for Cold-start Users with Meta Transitional Learning. SIGIR 2021: 1783-1787 - [c23]Ziwei Zhu, Yun He, Xing Zhao, Yin Zhang, Jianling Wang, James Caverlee:
Popularity-Opportunity Bias in Collaborative Filtering. WSDM 2021: 85-93 - [i10]Ziwei Zhu, Jianling Wang, James Caverlee:
Fairness-aware Personalized Ranking Recommendation via Adversarial Learning. CoRR abs/2103.07849 (2021) - [i9]Kaize Ding, Jianling Wang, Jundong Li, James Caverlee, Huan Liu:
Weakly-supervised Graph Meta-learning for Few-shot Node Classification. CoRR abs/2106.06873 (2021) - [i8]Jianling Wang, Kaize Ding, James Caverlee:
Sequential Recommendation for Cold-start Users with Meta Transitional Learning. CoRR abs/2107.06427 (2021) - [i7]Jianling Wang, Ainur Yessenalina, Alireza Roshan Ghias:
Exploring Heterogeneous Metadata for Video Recommendation with Two-tower Model. CoRR abs/2109.11059 (2021) - [i6]Kaize Ding, Jianling Wang, James Caverlee, Huan Liu:
Meta Propagation Networks for Graph Few-shot Semi-supervised Learning. CoRR abs/2112.09810 (2021) - [i5]Jianling Wang, Kaize Ding, Ziwei Zhu, James Caverlee:
Session-based Recommendation with Hypergraph Attention Networks. CoRR abs/2112.14266 (2021) - 2020
- [c22]Kaize Ding, Jianling Wang, Jundong Li, Kai Shu, Chenghao Liu, Huan Liu:
Graph Prototypical Networks for Few-shot Learning on Attributed Networks. CIKM 2020: 295-304 - [c21]Jianling Wang, James Caverlee:
Recommending Music Curators: A Neural Style-Aware Approach. ECIR (1) 2020: 191-204 - [c20]Kaize Ding, Jianling Wang, Jundong Li, Dingcheng Li, Huan Liu:
Be More with Less: Hypergraph Attention Networks for Inductive Text Classification. EMNLP (1) 2020: 4927-4936 - [c19]Ziwei Zhu, Jianling Wang, James Caverlee:
Measuring and Mitigating Item Under-Recommendation Bias in Personalized Ranking Systems. SIGIR 2020: 449-458 - [c18]Parisa Kaghazgaran, Jianling Wang, Ruihong Huang, James Caverlee:
ADORE: Aspect Dependent Online REview Labeling for Review Generation. SIGIR 2020: 1021-1030 - [c17]Jianling Wang, Kaize Ding, Liangjie Hong, Huan Liu, James Caverlee:
Next-item Recommendation with Sequential Hypergraphs. SIGIR 2020: 1101-1110 - [c16]Jianling Wang, Ziwei Zhu, James Caverlee:
User Recommendation in Content Curation Platforms. WSDM 2020: 627-635 - [c15]Jianling Wang, Kaize Ding, Ziwei Zhu, Yin Zhang, James Caverlee:
Key Opinion Leaders in Recommendation Systems: Opinion Elicitation and Diffusion. WSDM 2020: 636-644 - [c14]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: 645-653 - [c13]Yin Zhang, Yun He, Jianling Wang, James Caverlee:
Adaptive Hierarchical Translation-based Sequential Recommendation. WWW 2020: 2984-2990 - [i4]Kaize Ding, Jianling Wang, Jundong Li, Kai Shu, Chenghao Liu, Huan Liu:
Graph Prototypical Networks for Few-shot Learning on Attributed Networks. CoRR abs/2006.12739 (2020) - [i3]Kaize Ding, Jianling Wang, Jundong Li, Dingcheng Li, Huan Liu:
Be More with Less: Hypergraph Attention Networks for Inductive Text Classification. CoRR abs/2011.00387 (2020)
2010 – 2019
- 2019
- [c12]Yun He, Jianling Wang, Wei Niu, James Caverlee:
A Hierarchical Self-Attentive Model for Recommending User-Generated Item Lists. CIKM 2019: 1481-1490 - [c11]Jianling Wang, James Caverlee:
Recurrent Recommendation with Local Coherence. WSDM 2019: 564-572 - [c10]Ziwei Zhu, Jianling Wang, James Caverlee:
Improving Top-K Recommendation via JointCollaborative Autoencoders. WWW 2019: 3483-3482 - [i2]Yun He, Jianling Wang, Wei Niu, James Caverlee:
A Hierarchical Self-Attentive Model for Recommending User-Generated Item Lists. CoRR abs/1912.13023 (2019) - 2018
- [i1]Ziwei Zhu, Jianling Wang, Yin Zhang, James Caverlee:
Fairness-Aware Recommendation of Information Curators. CoRR abs/1809.03040 (2018) - 2017
- [c9]Jianling Wang, Vivek George, Tucker Balch, Maria Hybinette:
Stockyard: A discrete event-based stock market exchange simulator. WSC 2017: 1193-1203 - 2015
- [j3]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): 1227-1238 (2015) - [j2]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): 23-50 (2015) - 2012
- [c8]Jianling Wang, Lirong Jian, Xuejiao Liu:
The key role of psychological empowerment in boundary employee units based on gray preference. SMC 2012: 24-28 - 2011
- [c7]Yongsheng Xu, Jianling Wang:
Optimal path solution of urban traffic road. ICNC 2011: 799-802 - 2010
- [j1]Guangping Wang, Jianling Wang, Xiaoqin Ma, Robin G. Qiu:
The effect of standardization and customization on service satisfaction. J. Serv. Sci. Res. 2(1): 1-23 (2010)
2000 – 2009
- 2009
- [c6]Jianling Wang, Sifeng Liu, Lu Qin, Chuanmin Mi:
The Status Quo and Supply Prediction for Suzhou Sci-Tech Innovative Talents. SMC 2009: 1588-1592 - [c5]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: 1593-1597 - 2008
- [c4]Dang Luo, Dixin Luo, Naiming Xie, Jianling Wang:
Grey multi-attribute decision-making method based on two-phase optimization. SMC 2008: 1301-1304 - [c3]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: 2386-2389 - 2007
- [c2]Jianling Wang, Sifeng Liu, Yaoguo Dang, Hai-jian Liu:
Consumer evaluation of service brand extension based on gray preference analysis. SMC 2007: 2215-2218 - 2006
- [c1]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: 2277-2280
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2025-01-09 19:35 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
