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2020 – today
- 2024
[j7]Huiyao Chen, Yu Zhao, Zulong Chen, Mengjia Wang, Liangyue Li, Meishan Zhang, Min Zhang:
Retrieval-style In-context Learning for Few-shot Hierarchical Text Classification. Trans. Assoc. Comput. Linguistics 12: 1214-1231 (2024)- [c31]Tianli Zhang, Tongya Zheng, Zhenbang Xiao, Zulong Chen, Liangyue Li, Zunlei Feng, Dongxiang Zhang, Mingli Song:
Language Models-enhanced Semantic Topology Representation Learning For Temporal Knowledge Graph Extrapolation. CIKM 2024: 3227-3236 - [c30]Chenglin Li, Qianglong Chen, Liangyue Li, Caiyu Wang, Feng Tao, Yicheng Li, Zulong Chen, Yin Zhang:
Mixed Distillation Helps Smaller Language Models Reason Better. EMNLP (Findings) 2024: 1673-1690 - [c29]Zhenghao Liu
, Zulong Chen, Moufeng Zhang, Shaoyang Duan, Hong Wen, Liangyue Li, Nan Li, Yu Gu, Ge Yu:
Modeling User Viewing Flow using Large Language Models for Article Recommendation. WWW (Companion Volume) 2024: 83-92 - [i10]Xiaokun Zhang, Bo Xu, Chenliang Li, Yao Zhou, Liangyue Li, Hongfei Lin:
Side Information-Driven Session-based Recommendation: A Survey. CoRR abs/2402.17129 (2024) - [i9]Tingjia Shen, Hao Wang, Jiaqing Zhang, Sirui Zhao, Liangyue Li, Zulong Chen, Defu Lian, Enhong Chen:
Exploring User Retrieval Integration towards Large Language Models for Cross-Domain Sequential Recommendation. CoRR abs/2406.03085 (2024) - [i8]Huiyao Chen, Yu Zhao, Zulong Chen, Mengjia Wang, Liangyue Li, Meishan Zhang, Min Zhang:
Retrieval-style In-Context Learning for Few-shot Hierarchical Text Classification. CoRR abs/2406.17534 (2024) - 2023
- [j6]Qinghai Zhou, Liangyue Li, Nan Cao, Lei Ying, Hanghang Tong:
Adversarial Attacks on Multi-Network Mining: Problem Definition and Fast Solutions. IEEE Trans. Knowl. Data Eng. 35(1): 96-107 (2023) - [j5]Senrong Xu, Liangyue Li, Zenan Li, Yuan Yao, Feng Xu, Zulong Chen, Quan Lu, Hanghang Tong:
On the Vulnerability of Graph Learning-based Collaborative Filtering. ACM Trans. Inf. Syst. 41(4): 87:1-87:28 (2023) - [c28]Shigang Quan, Hailong Tan, Shui Liu, Zhenzhe Zheng, Ruihao Zhu, Liangyue Li, Quan Lu, Fan Wu:
MERIT: A Merchant Incentive Ranking Model for Hotel Search & Ranking. CIKM 2023: 2085-2094 - [c27]Senrong Xu, Liangyue Li, Yuan Yao, Zulong Chen, Han Wu, Quan Lu, Hanghang Tong:
MUSENET: Multi-Scenario Learning for Repeat-Aware Personalized Recommendation. WSDM 2023: 517-525 - [i7]Zhenghao Liu, Zulong Chen, Moufeng Zhang, Shaoyang Duan, Hong Wen, Liangyue Li, Nan Li, Yu Gu, Ge Yu:
Modeling User Viewing Flow using Large Language Models for Article Recommendation. CoRR abs/2311.07619 (2023) - 2022
- [c26]Wanjie Tao, Yu Li, Liangyue Li, Zulong Chen, Hong Wen, Peilin Chen, Tingting Liang, Quan Lu:
SMINet: State-Aware Multi-Aspect Interests Representation Network for Cold-Start Users Recommendation. AAAI 2022: 8476-8484 - [c25]Wanjie Tao, Zhang-Hua Fu, Liangyue Li, Zulong Chen, Hong Wen, Yuanyuan Liu, Qijie Shen, Peilin Chen:
A Dual Channel Intent Evolution Network for Predicting Period-Aware Travel Intentions at Fliggy. CIKM 2022: 3524-3533 - [c24]Han Wu, Hongzhe Zhang, Liangyue Li, Zulong Chen, Fanwei Zhu, Xiao Fang:
Cheaper Is Better: Exploring Price Competitiveness for Online Purchase Prediction. ICDE 2022: 3399-3412 - [c23]Jia Xu, Fei Xiong, Zulong Chen, Mingyuan Tao, Liangyue Li, Quan Lu:
G2NET: A General Geography-Aware Representation Network for Hotel Search Ranking. KDD 2022: 4237-4247 - [c22]Wanjie Tao, Liangyue Li, Chen Chen, Zulong Chen, Hong Wen:
When Online Meets Offline: Exploring Periodicity for Travel Destination Prediction. SIGIR 2022: 2366-2370 - [i6]Senrong Xu, Yuan Yao, Liangyue Li, Wei Yang, Feng Xu, Hanghang Tong:
Detecting Topology Attacks against Graph Neural Networks. CoRR abs/2204.10072 (2022) - [i5]Beidi Zhao, Boxin Du, Zhe Xu, Liangyue Li, Hanghang Tong:
Learning Optimal Propagation for Graph Neural Networks. CoRR abs/2205.02998 (2022) - 2021
- [c21]Bijaya Adhikari, Liangyue Li, Nikhil Rao, Karthik Subbian:
Finding Needles in Heterogeneous Haystacks. AAAI 2021: 15232-15239 - [c20]Qinghai Zhou, Liangyue Li, Xintao Wu, Nan Cao, Lei Ying, Hanghang Tong:
Attent: Active Attributed Network Alignment. WWW 2021: 3896-3906
2010 – 2019
- 2019
- [c19]Qinghai Zhou, Liangyue Li, Hanghang Tong:
Towards Real Time Team Optimization. IEEE BigData 2019: 1008-1017 - [c18]Qinghai Zhou, Liangyue Li, Nan Cao, Lei Ying, Hanghang Tong:
ADMIRING: Adversarial Multi-network Mining. ICDM 2019: 1522-1527 - 2018
- [j4]Yong Wang, Conglei Shi, Liangyue Li, Hanghang Tong, Huamin Qu:
Visualizing Research Impact through Citation Data. ACM Trans. Interact. Intell. Syst. 8(1): 5:1-5:24 (2018) - [c17]Liangyue Li, Hanghang Tong, Huan Liu:
Towards Explainable Networked Prediction. CIKM 2018: 1819-1822 - [c16]Qinghai Zhou, Liangyue Li, Nan Cao, Norbou Buchler, Hanghang Tong:
Extra: explaining team recommendation in networks. RecSys 2018: 492-493 - [c15]Liangyue Li, Hanghang Tong:
Network Science of Teams: Characterization, Prediction, and Optimization. WSDM 2018: 783-784 - [i4]Muge Li, Liangyue Li, Feiping Nie:
Ranking with Adaptive Neighbors. CoRR abs/1803.05105 (2018) - [i3]Qinghai Zhou, Liangyue Li, Nan Cao, Norbou Buchler, Hanghang Tong:
EXTRA: Explaining Team Recommendation in Networks. CoRR abs/1809.08511 (2018) - 2017
- [j3]Liangyue Li, Hanghang Tong, Nan Cao, Kate Ehrlich, Yu-Ru Lin, Norbou Buchler:
Enhancing Team Composition in Professional Networks: Problem Definitions and Fast Solutions. IEEE Trans. Knowl. Data Eng. 29(3): 613-626 (2017) - [c14]Liangyue Li, Hanghang Tong:
Uncovering Teamwork in Networks - Prediction, Optimization and Explanation. ICDM Workshops 2017: 1132-1133 - [c13]Liangyue Li, Hanghang Tong, Yong Wang, Conglei Shi, Nan Cao, Norbou Buchler:
Is the Whole Greater Than the Sum of Its Parts? KDD 2017: 295-304 - [c12]Liangyue Li, How Jing, Hanghang Tong, Jaewon Yang, Qi He, Bee-Chung Chen:
NEMO: Next Career Move Prediction with Contextual Embedding. WWW (Companion Volume) 2017: 505-513 - 2016
- [c11]Liangyue Li, Hanghang Tong, Nan Cao, Kate Ehrlich, Yu-Ru Lin, Norbou Buchler:
TEAMOPT: Interactive Team Optimization in Big Networks. CIKM 2016: 2485-2487 - [c10]Liangyue Li, Yuan Yao, Jie Tang, Wei Fan, Hanghang Tong:
QUINT: On Query-Specific Optimal Networks. KDD 2016: 985-994 - [c9]Liangyue Li, Hanghang Tong, Jie Tang, Wei Fan:
iPath: Forecasting the Pathway to Impact. SDM 2016: 468-476 - 2015
- [c8]Nan Cao, Yu-Ru Lin, Liangyue Li, Hanghang Tong:
g-Miner: Interactive Visual Group Mining on Multivariate Graphs. CHI 2015: 279-288 - [c7]Liangyue Li, Hanghang Tong:
The Child is Father of the Man: Foresee the Success at the Early Stage. KDD 2015: 655-664 - [c6]Liangyue Li, Hanghang Tong, Yanghua Xiao, Wei Fan:
Cheetah: Fast Graph Kernel Tracking on Dynamic Graphs. SDM 2015: 280-288 - [c5]Liangyue Li, Hanghang Tong, Nan Cao, Kate Ehrlich, Yu-Ru Lin, Norbou Buchler:
Replacing the Irreplaceable: Fast Algorithms for Team Member Recommendation. WWW 2015: 636-646 - [i2]Liangyue Li, Hanghang Tong:
The Child is Father of the Man: Foresee the Success at the Early Stage. CoRR abs/1504.00948 (2015) - 2014
- [j2]Weiai Wayne Xu, Liangyue Li, Michael A. Stefanone, Yun Fun:
Does social media users' commenting behavior differ by their local community tie? A computer-assisted linguistic analysis approach. First Monday 19(1) (2014) - [j1]Liangyue Li, Sheng Li, Yun Fu:
Learning low-rank and discriminative dictionary for image classification. Image Vis. Comput. 32(10): 814-823 (2014) - [p1]Sheng Li, Liangyue Li, Yun Fu:
Low-Rank and Sparse Dictionary Learning. Low-Rank and Sparse Modeling for Visual Analysis 2014: 61-85 - [i1]Liangyue Li, Hanghang Tong, Nan Cao, Kate Ehrlich, Yu-Ru Lin, Norbou Buchler:
Replacing the Irreplaceable: Fast Algorithms for Team Member Recommendation. CoRR abs/1409.5512 (2014) - 2013
- [c4]Ming Shao, Liangyue Li, Yun Fu:
Predicting Professions through Probabilistic Model under Social Context. AAAI (Late-Breaking Developments) 2013 - [c3]Liangyue Li, Sheng Li, Yun Fu:
Discriminative dictionary learning with low-rank regularization for face recognition. FG 2013: 1-6 - [c2]Ming Shao, Liangyue Li, Yun Fu:
What Do You Do? Occupation Recognition in a Photo via Social Context. ICCV 2013: 3631-3638 - 2012
- [c1]Zhenghong Gu, Ming Shao, Liangyue Li, Yun Fu:
Discriminative metric: Schatten norm vs. vector norm. ICPR 2012: 1213-1216
Coauthor Index
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last updated on 2024-11-15 19:35 CET by the dblp team
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