Discriminative metric: Schatten norm vs. vector norm. - Zhenghong Gu; Ming Shao; Liangyue Li; Yun Fu 001 (ICPR, 2012)

Predicting Professions through Probabilistic Model under Social Context. - Ming Shao; Liangyue Li; Yun Fu 001 (AAAI (Late-Breaking Developments), 2013)

Discriminative dictionary learning with low-rank regularization for face recognition. - Liangyue Li; Sheng Li 001; Yun Fu 001 (FG, 2013)

What Do You Do? Occupation Recognition in a Photo via Social Context. - Ming Shao; Liangyue Li; Yun Fu 001 (ICCV, 2013)

Low-Rank and Sparse Dictionary Learning. - Sheng Li 001; Liangyue Li; Yun Fu 001 (Low-Rank and Sparse Modeling for Visual Analysis, 2014)

Does social media users' commenting behavior differ by their local community tie? A computer-assisted linguistic analysis approach. - Weiai Wayne Xu; Liangyue Li; Michael A. Stefanone; Yun Fun (First Monday, 2014)

Learning low-rank and discriminative dictionary for image classification. - Liangyue Li; Sheng Li 001; Yun Fu 001 (Image Vis. Comput., 2014)

g-Miner: Interactive Visual Group Mining on Multivariate Graphs. - Nan Cao 001; Yu-Ru Lin; Liangyue Li; Hanghang Tong (CHI, 2015)

The Child is Father of the Man: Foresee the Success at the Early Stage. - Liangyue Li; Hanghang Tong (KDD, 2015)

Cheetah: Fast Graph Kernel Tracking on Dynamic Graphs. - Liangyue Li; Hanghang Tong; Yanghua Xiao; Wei Fan 001 (SDM, 2015)

Replacing the Irreplaceable: Fast Algorithms for Team Member Recommendation. - Liangyue Li; Hanghang Tong; Nan Cao 001; Kate Ehrlich; Yu-Ru Lin; Norbou Buchler (WWW, 2015)

TEAMOPT: Interactive Team Optimization in Big Networks. - Liangyue Li; Hanghang Tong; Nan Cao 001; Kate Ehrlich; Yu-Ru Lin; Norbou Buchler (CIKM, 2016)

QUINT: On Query-Specific Optimal Networks. - Liangyue Li; Yuan Yao 001; Jie Tang 001; Wei Fan 001; Hanghang Tong (KDD, 2016)

iPath: Forecasting the Pathway to Impact. - Liangyue Li; Hanghang Tong; Jie Tang 001; Wei Fan 001 (SDM, 2016)

Uncovering Teamwork in Networks - Prediction, Optimization and Explanation. - Liangyue Li; Hanghang Tong (ICDM Workshops, 2017)

Is the Whole Greater Than the Sum of Its Parts? - Liangyue Li; Hanghang Tong; Yong Wang 021; Conglei Shi; Nan Cao 001; Norbou Buchler (KDD, 2017)

NEMO: Next Career Move Prediction with Contextual Embedding. - Liangyue Li; How Jing; Hanghang Tong; Jaewon Yang; Qi He 002; Bee-Chung Chen (WWW (Companion Volume), 2017)

Enhancing Team Composition in Professional Networks: Problem Definitions and Fast Solutions. - Liangyue Li; Hanghang Tong; Nan Cao 001; Kate Ehrlich; Yu-Ru Lin; Norbou Buchler (IEEE Trans. Knowl. Data Eng., 2017)

Towards Explainable Networked Prediction. - Liangyue Li; Hanghang Tong; Huan Liu 001 (CIKM, 2018)

Extra: explaining team recommendation in networks. - Qinghai Zhou; Liangyue Li; Nan Cao 001; Norbou Buchler; Hanghang Tong (RecSys, 2018)

Network Science of Teams: Characterization, Prediction, and Optimization. - Liangyue Li; Hanghang Tong (WSDM, 2018)

Ranking with Adaptive Neighbors. - Muge Li; Liangyue Li; Feiping Nie 001 (CoRR, 2018)

Visualizing Research Impact through Citation Data. - Yong Wang 021; Conglei Shi; Liangyue Li; Hanghang Tong; Huamin Qu (ACM Trans. Interact. Intell. Syst., 2018)

Towards Real Time Team Optimization. - Qinghai Zhou; Liangyue Li; Hanghang Tong (IEEE BigData, 2019)

ADMIRING: Adversarial Multi-network Mining. - Qinghai Zhou; Liangyue Li; Nan Cao 001; Lei Ying 001; Hanghang Tong (ICDM, 2019)

Finding Needles in Heterogeneous Haystacks. - Bijaya Adhikari; Liangyue Li; Nikhil Rao 001; Karthik Subbian (AAAI, 2021)

Attent: Active Attributed Network Alignment. - Qinghai Zhou; Liangyue Li; Xintao Wu; Nan Cao 001; Lei Ying 001; Hanghang Tong (WWW, 2021)

SMINet: State-Aware Multi-Aspect Interests Representation Network for Cold-Start Users Recommendation. - Wanjie Tao; Yu Li 015; Liangyue Li; Zulong Chen; Hong Wen 002; Peilin Chen; Tingting Liang; Quan Lu (AAAI, 2022)

A Dual Channel Intent Evolution Network for Predicting Period-Aware Travel Intentions at Fliggy. - Wanjie Tao; Zhang-Hua Fu; Liangyue Li; Zulong Chen; Hong Wen 002; Yuanyuan Liu 004; Qijie Shen; Peilin Chen (CIKM, 2022)

Cheaper Is Better: Exploring Price Competitiveness for Online Purchase Prediction. - Han Wu; Hongzhe Zhang; Liangyue Li; Zulong Chen; Fanwei Zhu; Xiao Fang (ICDE, 2022)

G2NET: A General Geography-Aware Representation Network for Hotel Search Ranking. - Jia Xu 005; Fei Xiong; Zulong Chen; Mingyuan Tao; Liangyue Li; Quan Lu (KDD, 2022)

When Online Meets Offline: Exploring Periodicity for Travel Destination Prediction. - Wanjie Tao; Liangyue Li; Chen Chen 022; Zulong Chen; Hong Wen 002 (SIGIR, 2022)

Detecting Topology Attacks against Graph Neural Networks. - Senrong Xu; Yuan Yao 001; Liangyue Li; Wei Yang; Feng Xu 007; Hanghang Tong (CoRR, 2022)

Learning Optimal Propagation for Graph Neural Networks. - Beidi Zhao; Boxin Du; Zhe Xu 007; Liangyue Li; Hanghang Tong (CoRR, 2022)

MERIT: A Merchant Incentive Ranking Model for Hotel Search & Ranking. - Shigang Quan; Hailong Tan; Shui Liu; Zhenzhe Zheng; Ruihao Zhu; Liangyue Li; Quan Lu; Fan Wu 006 (CIKM, 2023)

MUSENET: Multi-Scenario Learning for Repeat-Aware Personalized Recommendation. - Senrong Xu; Liangyue Li; Yuan Yao 001; Zulong Chen; Han Wu; Quan Lu; Hanghang Tong (WSDM, 2023)

Adversarial Attacks on Multi-Network Mining: Problem Definition and Fast Solutions. - Qinghai Zhou; Liangyue Li; Nan Cao 001; Lei Ying 001; Hanghang Tong (IEEE Trans. Knowl. Data Eng., 2023)

On the Vulnerability of Graph Learning-based Collaborative Filtering. - Senrong Xu; Liangyue Li; Zenan Li; Yuan Yao 001; Feng Xu 007; Zulong Chen; Quan Lu; Hanghang Tong (ACM Trans. Inf. Syst., 2023)

Language Models-enhanced Semantic Topology Representation Learning For Temporal Knowledge Graph Extrapolation. - Tianli Zhang; Tongya Zheng; Zhenbang Xiao; Zulong Chen; Liangyue Li; Zunlei Feng; Dongxiang Zhang; Mingli Song (CIKM, 2024)

Mixed Distillation Helps Smaller Language Models Reason Better. - Chenglin Li; Qianglong Chen; Liangyue Li; Caiyu Wang; Feng Tao; Yicheng Li; Zulong Chen; Yin Zhang 006 (EMNLP (Findings), 2024)

Modeling User Viewing Flow using Large Language Models for Article Recommendation. - Zhenghao Liu 001; Zulong Chen; Moufeng Zhang; Shaoyang Duan; Hong Wen 002; Liangyue Li; Nan Li; Yu Gu 002; Ge Yu 001 (WWW (Companion Volume), 2024)

Side Information-Driven Session-based Recommendation: A Survey. - Xiaokun Zhang 001; Bo Xu 009; Chenliang Li; Yao Zhou; Liangyue Li; Hongfei Lin (CoRR, 2024)

Exploring User Retrieval Integration towards Large Language Models for Cross-Domain Sequential Recommendation. - Tingjia Shen; Hao Wang 076; Jiaqing Zhang; Sirui Zhao; Liangyue Li; Zulong Chen; Defu Lian; Enhong Chen (CoRR, 2024)

Retrieval-style In-context Learning for Few-shot Hierarchical Text Classification. - Huiyao Chen; Yu Zhao 043; Zulong Chen; Mengjia Wang; Liangyue Li; Meishan Zhang; Min Zhang 005 (Trans. Assoc. Comput. Linguistics, 2024)

DEEPER Insight into Your User: Directed Persona Refinement for Dynamic Persona Modeling. - Aili Chen; Chengyu Du; Jiangjie Chen; Jinghan Xu; Yikai Zhang 004; Siyu Yuan; Zulong Chen; Liangyue Li; Yanghua Xiao (ACL (1), 2025)

Think Thrice Before You Act: Progressive Thought Refinement in Large Language Models. - Chengyu Du; Jinyi Han; Yizhou Ying; Aili Chen; Qianyu He; Haokun Zhao; Haoran Guo; Sirui Xia; Jiaqing Liang; Zulong Chen; Liangyue Li; Yanghua Xiao (ICLR, 2025)