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Jianling Wang
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2020 – today
- 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) - [c38]Yichuan Li, Kaize Ding, Jianling Wang, Kyumin Lee:
Empowering Large Language Models for Textual Data Augmentation. ACL (Findings) 2024: 12734-12751 - [c37]Allen Lin
, Jianling Wang
, Ziwei Zhu
, James Caverlee
:
Federated Conversational Recommender Systems. ECIR (5) 2024: 50-65 - [c36]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 - [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 - [i24]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) - [i23]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) - [i22]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) - [i21]Yichuan Li, Kaize Ding, Jianling Wang, Kyumin Lee:
Empowering Large Language Models for Textual Data Augmentation. CoRR abs/2404.17642 (2024) - [i20]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) - [i19]Chengkai Liu, Jianghao Lin, Hanzhou Liu, Jianling Wang, James Caverlee:
Behavior-Dependent Linear Recurrent Units for Efficient Sequential Recommendation. CoRR abs/2406.12580 (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
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last updated on 2024-08-28 22:32 CEST by the dblp team
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