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ORCIDLiang Chen 0001
陈亮
Person information
- unicode name: 陈亮
- affiliation: Sun Yat-Sen University, School of Data and Computer Science, Guangzhou, China
- affiliation (former): RMIT University, Melbourne, Australia
- affiliation (PhD 2015): Zhejiang University, College of Computer Science amp; Technology, CCNT, China
- not to be confused with: Liang Chen 0002
Other persons with the same name
- Liang Chen — disambiguation page
- Liang Chen 0002
![[0000-0003-0968-2936]](https://dblp.org/img/orcid-mark.12x12.png "0000-0003-0968-2936")
— Sun Yat-sen University, School of Communication and Design, Guangzhou, China (and 2 more) - Liang Chen 0003 — Nanjing University of Science and Technology, School of Computer Science and Engineering, China
- Liang Chen 0004 — Beijing Institute of Technology, School of Information and Electronic, China
- Liang Chen 0005 — Huaibei Normal University, School of Mathematical Sciences, China (and 1 more)
- Liang Chen 0006 — Hunan University, College of Mathematics and Econometrics, Changsha, China
- Liang Chen 0007 — Wuhan University, LIEMARS, China (and 3 more)
- Liang Chen 0009 — Shenzhen University, College of Information Engineering, China (and 1 more)
- Liang Chen 0010 — Xidian University, State Key Laboratory of Integrated Service Networks, Xi'an, China
- Liang Chen 0011 — Chongqing College of Electronic Engineering, Electronic Technician Institute, China
- Liang Chen 0012 — Wenzhou University, College of Mathematics and Information Science, China (and 3 more)
- Liang Chen 0013 — Jiangsu Electric Power Company Research Institute, Nanjing, China
- Liang Chen 0014 — Karlsruhe Institute of Technology, Germany
- Liang Chen 0015 — Harbin Institute of Technology, School of Electronics and Information Engineering, Communications Research Center, Harbin, China
- Liang Chen 0016 — Chongqing Medical University, Department of Hepatobiliary Surgery, Chongqing, China
- Liang Chen 0017 — Zhejiang University, Institute of Cyber-Systems and Control, State Key Laboratory of Industrial Control Technology, Hangzhou, China (and 2 more)
- Liang Chen 0018 — Imperial College London, Department of Computing, Biomedical Image Analysis Group, London, UK
- Liang Chen 0019 — Ohio State Uinversity, Department of Computer Science and Engineering, Columbus, OH, USA
- Liang Chen 0020 — King Abdullah University of Science and Technology, Thuwal, Saudi Arabia
- Liang Chen 0021 — Shantou University, Key Laboratory of Intelligent Manufacturing Technology of Ministry of Education, Shantou, China (and 2 more)
- Liang Chen 0022 — Jilin University, College of Computer Science and Technology, MoE Key Laboratory of Symbolic Computation and Knowledge Engineering, Changchun, China
- Liang Chen 0023 — Fudan University, Huashan Hospital, Department of Neurosurgery, Shanghai, China
- Liang Chen 0024 — Peking University, National Key Laboratory for Multimedia Information Processing, China
- Liang Chen 0025 — University of California, Riverside, Department of Electrical and Computer Engineering, CA, USA (and 1 more)
- Liang Chen 0026 — Fujian Normal University, College of Photonic and Electronic Engineering, Fuzhou, China (and 1 more)
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2020 – today
- 2025
[j42]Yun Fu, Che Zhou, Jintang Li, Liang Chen:
Long-term evolutionary patterns matter: Self-supervised anomaly detection on dynamic graphs. Knowl. Based Syst. 311: 113049 (2025)- [c105]Liang Chen, Li Shen, Yang Deng, Xiaoyan Zhao, Bin Liang, Kam-Fai Wong:
PEARL: Towards Permutation-Resilient LLMs. ICLR 2025 - [i58]Yuchang Zhu, Huizhe Zhang, Bingzhe Wu, Jintang Li, Zibin Zheng, Peilin Zhao, Liang Chen, Yatao Bian:
Measuring Diversity in Synthetic Datasets. CoRR abs/2502.08512 (2025) - [i57]Jintang Li, Ruofan Wu, Yuchang Zhu, Huizhe Zhang, Liang Chen, Zibin Zheng:
Are Large Language Models In-Context Graph Learners? CoRR abs/2502.13562 (2025) - [i56]Liang Chen, Li Shen, Yang Deng, Xiaoyan Zhao, Bin Liang, Kam-Fai Wong:
PEARL: Towards Permutation-Resilient LLMs. CoRR abs/2502.14628 (2025) - [i55]Huizhe Zhang, Jintang Li, Yuchang Zhu, Liang Chen, Zibin Zheng:
GT-SVQ: A Linear-Time Graph Transformer for Node Classification Using Spiking Vector Quantization. CoRR abs/2504.11840 (2025) - 2024
- [j41]Fenfang Xie, Angyu Zheng, Liang Chen, Zibin Zheng, Mingdong Tang:
Weighted meta-graph based mobile application recommendation through matrix factorisation and neural networks. Connect. Sci. 36(1) (2024) - [j40]Fenfang Xie, Yuansheng Wang, Kun Xu, Liang Chen, Zibin Zheng, Mingdong Tang:
A Review-Level Sentiment Information Enhanced Multitask Learning Approach for Explainable Recommendation. IEEE Trans. Comput. Soc. Syst. 11(5): 5925-5934 (2024) - [j39]Yuchang Zhu, Jintang Li, Liang Chen, Zibin Zheng:
FairAGG: Toward Fair Graph Neural Networks via Fair Aggregation. IEEE Trans. Comput. Soc. Syst. 11(5): 6308-6319 (2024) - [c104]Liang Chen, Yatao Bian, Yang Deng, Deng Cai, Shuaiyi Li, Peilin Zhao, Kam-Fai Wong:
WatME: Towards Lossless Watermarking Through Lexical Redundancy. ACL (1) 2024: 9166-9180 - [c103]Yuanzhen Xie, Xinzhou Jin, Tao Xie, Mingxiong Lin, Liang Chen, Chenyun Yu, Cheng Lei, Chengxiang Zhuo, Bo Hu, Zang Li:
Decomposition for Enhancing Attention: Improving LLM-based Text-to-SQL through Workflow Paradigm. ACL (Findings) 2024: 10796-10816 - [c102]Shuaiyi Li, Yang Deng, Deng Cai, Hongyuan Lu, Liang Chen, Wai Lam:
Consecutive Batch Model Editing with HooK Layers. EMNLP 2024: 13817-13833 - [c101]Jintang Li, Huizhe Zhang, Ruofan Wu, Zulun Zhu, Baokun Wang, Changhua Meng, Zibin Zheng, Liang Chen:
A Graph is Worth 1-bit Spikes: When Graph Contrastive Learning Meets Spiking Neural Networks. ICLR 2024 - [c100]Ziqi Gao, Qichao Wang, Aochuan Chen, Zijing Liu, Bingzhe Wu, Liang Chen, Jia Li:
Parameter-Efficient Fine-Tuning with Discrete Fourier Transform. ICML 2024 - [c99]Yunfei Liu, Jintang Li, Yuehe Chen, Ruofan Wu, Ericbk Wang, Jing Zhou, Sheng Tian, Shuheng Shen, Xing Fu, Changhua Meng, Weiqiang Wang, Liang Chen:
Revisiting Modularity Maximization for Graph Clustering: A Contrastive Learning Perspective. KDD 2024: 1968-1979 - [c98]Yuchang Zhu, Jintang Li, Yatao Bian, Zibin Zheng, Liang Chen:
One Fits All: Learning Fair Graph Neural Networks for Various Sensitive Attributes. KDD 2024: 4688-4699 - [c97]Zezhong Wang, Fangkai Yang, Lu Wang, Pu Zhao, Hongru Wang, Liang Chen, Qingwei Lin, Kam-Fai Wong:
SELF-GUARD: Empower the LLM to Safeguard Itself. NAACL-HLT 2024: 1648-1668 - [c96]Jintang Li, Ruofan Wu, Xinzhou Jin, Boqun Ma, Liang Chen, Zibin Zheng:
State Space Models on Temporal Graphs: A First-Principles Study. NeurIPS 2024 - [c95]Wangbin Sun, Jintang Li, Liang Chen, Bingzhe Wu, Yatao Bian, Zibin Zheng:
Rethinking and Simplifying Bootstrapped Graph Latents. WSDM 2024: 665-673 - [c94]Yuchang Zhu, Jintang Li, Liang Chen, Zibin Zheng:
The Devil is in the Data: Learning Fair Graph Neural Networks via Partial Knowledge Distillation. WSDM 2024: 1012-1021 - [c93]Yuchang Zhu, Jintang Li, Zibin Zheng, Liang Chen:
Fair Graph Representation Learning via Sensitive Attribute Disentanglement. WWW 2024: 1182-1192 - [i54]Yuanzhen Xie, Xinzhou Jin, Tao Xie, Mingxiong Lin, Liang Chen, Chenyun Yu, Lei Cheng, Chengxiang Zhuo, Bo Hu, Zang Li:
Decomposition for Enhancing Attention: Improving LLM-based Text-to-SQL through Workflow Paradigm. CoRR abs/2402.10671 (2024) - [i53]Shuaiyi Li, Yang Deng, Deng Cai, Hongyuan Lu, Liang Chen, Wai Lam:
Consecutive Model Editing with Batch alongside HooK Layers. CoRR abs/2403.05330 (2024) - [i52]Huizhe Zhang, Jintang Li, Liang Chen, Zibin Zheng:
SGHormer: An Energy-Saving Graph Transformer Driven by Spikes. CoRR abs/2403.17656 (2024) - [i51]Ziqi Gao, Qichao Wang, Aochuan Chen, Zijing Liu, Bingzhe Wu, Liang Chen, Jia Li:
Parameter-Efficient Fine-Tuning with Discrete Fourier Transform. CoRR abs/2405.03003 (2024) - [i50]Yuchang Zhu, Jintang Li, Zibin Zheng, Liang Chen:
Fair Graph Representation Learning via Sensitive Attribute Disentanglement. CoRR abs/2405.07011 (2024) - [i49]Jintang Li, Ruofan Wu, Xinzhou Jin, Boqun Ma, Liang Chen, Zibin Zheng:
State Space Models on Temporal Graphs: A First-Principles Study. CoRR abs/2406.00943 (2024) - [i48]Yuchang Zhu, Jintang Li, Yatao Bian, Zibin Zheng, Liang Chen:
One Fits All: Learning Fair Graph Neural Networks for Various Sensitive Attributes. CoRR abs/2406.13544 (2024) - [i47]Yunfei Liu, Jintang Li, Yuehe Chen, Ruofan Wu, Ericbk Wang, Jing Zhou, Sheng Tian, Shuheng Shen, Xing Fu, Changhua Meng, Weiqiang Wang, Liang Chen:
Revisiting Modularity Maximization for Graph Clustering: A Contrastive Learning Perspective. CoRR abs/2406.14288 (2024) - [i46]Xinzhou Jin, Jintang Li, Liang Chen, Chenyun Yu, Yuanzhen Xie, Tao Xie, Chengxiang Zhuo, Zang Li, Zibin Zheng:
L2CL: Embarrassingly Simple Layer-to-Layer Contrastive Learning for Graph Collaborative Filtering. CoRR abs/2407.14266 (2024) - [i45]Jintang Li, Ruofan Wu, Yuchang Zhu, Huizhe Zhang, Xinzhou Jin, Guibin Zhang, Zulun Zhu, Zibin Zheng, Liang Chen:
Revisiting and Benchmarking Graph Autoencoders: A Contrastive Learning Perspective. CoRR abs/2410.10241 (2024) - 2023
- [j38]Peilin Zheng, Zibin Zheng, Liang Chen:
Selecting reliable blockchain peers via hybrid blockchain reliability prediction. IET Softw. 17(4): 362-377 (2023) - [j37]Jintang Li, Tao Xie, Liang Chen, Fenfang Xie, Xiangnan He, Zibin Zheng:
Adversarial Attack on Large Scale Graph. IEEE Trans. Knowl. Data Eng. 35(1): 82-95 (2023) - [j36]Jintang Li, Jiaying Peng, Liang Chen, Zibin Zheng, Tingting Liang, Qing Ling:
Spectral Adversarial Training for Robust Graph Neural Network. IEEE Trans. Knowl. Data Eng. 35(9): 9240-9253 (2023) - [j35]Tingting Liang, Congying Xia, Haoran Xu, Ziqiang Zhao, Yuyu Yin, Liang Chen, Philip S. Yu:
Modeling Reviews for Few-Shot Recommendation via Enhanced Prototypical Network. IEEE Trans. Knowl. Data Eng. 35(9): 9407-9420 (2023) - [c92]Jintang Li, Zhouxin Yu, Zulun Zhu, Liang Chen, Qi Yu, Zibin Zheng, Sheng Tian, Ruofan Wu, Changhua Meng:
Scaling Up Dynamic Graph Representation Learning via Spiking Neural Networks. AAAI 2023: 8588-8596 - [c91]Liang Chen, Hongru Wang, Yang Deng, Wai-Chung Kwan, Zezhong Wang, Kam-Fai Wong:
Towards Robust Personalized Dialogue Generation via Order-Insensitive Representation Regularization. ACL (Findings) 2023: 7337-7345 - [c90]Qichao Wang, Huan Ma, Wentao Wei, Hangyu Li, Changqing Zhang, Peilin Zhao, Binwen Zhao, Bo Hu, Shu Zhang, Bingzhe Wu, Liang Chen:
Attention Paper: How Generative AI Reshapes Digital Shadow Industry? ACM TUR-C 2023: 143-144 - [c89]Jintang Li, Jie Liao, Ruofan Wu, Liang Chen, Zibin Zheng, Jiawang Dan, Changhua Meng, Weiqiang Wang:
GUARD: Graph Universal Adversarial Defense. CIKM 2023: 1198-1207 - [c88]Jie Liao, Jintang Li, Liang Chen, Bingzhe Wu, Yatao Bian, Zibin Zheng:
SAILOR: Structural Augmentation Based Tail Node Representation Learning. CIKM 2023: 1389-1399 - [c87]Ruoting Wu, Yuxin Zhang, Liang Chen:
Improving Code Representation Learning via Multi-view Contrastive Graph Pooling for Abstract Syntax Tree. CollaborateCom (2) 2023: 242-261 - [c86]Yuxin Zhang, Ruoting Wu, Jie Liao, Liang Chen:
Structural Adversarial Attack for Code Representation Models. CollaborateCom (2) 2023: 392-413 - [c85]Liang Chen, Yang Deng, Yatao Bian, Zeyu Qin, Bingzhe Wu, Tat-Seng Chua, Kam-Fai Wong:
Beyond Factuality: A Comprehensive Evaluation of Large Language Models as Knowledge Generators. EMNLP 2023: 6325-6341 - [c84]Haotian Wang, Zhen Zhang, Mengting Hu, Qichao Wang, Liang Chen, Yatao Bian, Bingzhe Wu:
RECAL: Sample-Relation Guided Confidence Calibration over Tabular Data. EMNLP (Findings) 2023: 7246-7257 - [c83]Yang Deng, Lizi Liao, Liang Chen, Hongru Wang, Wenqiang Lei, Tat-Seng Chua:
Prompting and Evaluating Large Language Models for Proactive Dialogues: Clarification, Target-guided, and Non-collaboration. EMNLP (Findings) 2023: 10602-10621 - [c82]Zishan Gu, Ke Zhang, Guangji Bai, Liang Chen, Liang Zhao, Carl Yang:
Dynamic Activation of Clients and Parameters for Federated Learning over Heterogeneous Graphs. ICDE 2023: 1597-1610 - [c81]Yang Liu, Liang Chen, Xiangnan He, Jiaying Peng, Zibin Zheng, Jie Tang:
Modelling High-Order Social Relations for Item Recommendation (Extended Abstract). ICDE 2023: 3821-3822 - [c80]Xinzhou Jin, Jintang Li, Yuanzhen Xie, Liang Chen, Beibei Kong, Lei Cheng, Bo Hu, Zang Li, Zibin Zheng:
Enhancing Graph Collaborative Filtering via Neighborhood Structure Embedding. ICDM 2023: 190-199 - [c79]Sheng Tian, Jihai Dong, Jintang Li, Wenlong Zhao, Xiaolong Xu, Baokun Wang, Bowen Song, Changhua Meng, Tianyi Zhang, Liang Chen:
SAD: Semi-Supervised Anomaly Detection on Dynamic Graphs. IJCAI 2023: 2306-2314 - [c78]Jintang Li, Ruofan Wu, Wangbin Sun, Liang Chen, Sheng Tian, Liang Zhu, Changhua Meng, Zibin Zheng, Weiqiang Wang:
What's Behind the Mask: Understanding Masked Graph Modeling for Graph Autoencoders. KDD 2023: 1268-1279 - [c77]Wei Yuan, Quoc Viet Hung Nguyen, Tieke He, Liang Chen, Hongzhi Yin:
Manipulating Federated Recommender Systems: Poisoning with Synthetic Users and Its Countermeasures. SIGIR 2023: 1690-1699 - [i44]Wei Yuan, Quoc Viet Hung Nguyen, Tieke He, Liang Chen, Hongzhi Yin:
Manipulating Federated Recommender Systems: Poisoning with Synthetic Users and Its Countermeasures. CoRR abs/2304.03054 (2023) - [i43]Jintang Li, Sheng Tian, Ruofan Wu, Liang Zhu, Wenlong Zhao, Changhua Meng, Liang Chen, Zibin Zheng, Hongzhi Yin:
Less Can Be More: Unsupervised Graph Pruning for Large-scale Dynamic Graphs. CoRR abs/2305.10673 (2023) - [i42]Liang Chen, Hongru Wang, Yang Deng, Wai-Chung Kwan, Zezhong Wang, Kam-Fai Wong:
Towards Robust Personalized Dialogue Generation via Order-Insensitive Representation Regularization. CoRR abs/2305.12782 (2023) - [i41]Sheng Tian, Jihai Dong, Jintang Li, Wenlong Zhao, Xiaolong Xu, Baokun Wang, Bowen Song, Changhua Meng, Tianyi Zhang, Liang Chen:
SAD: Semi-Supervised Anomaly Detection on Dynamic Graphs. CoRR abs/2305.13573 (2023) - [i40]Qichao Wang, Huan Ma, Wentao Wei, Hangyu Li, Liang Chen, Peilin Zhao, Binwen Zhao, Bo Hu, Shu Zhang, Zibin Zheng, Bingzhe Wu:
Attention Paper: How Generative AI Reshapes Digital Shadow Industry? CoRR abs/2305.18346 (2023) - [i39]Jintang Li, Huizhe Zhang, Ruofan Wu, Zulun Zhu, Liang Chen, Zibin Zheng, Baokun Wang, Changhua Meng:
A Graph is Worth 1-bit Spikes: When Graph Contrastive Learning Meets Spiking Neural Networks. CoRR abs/2305.19306 (2023) - [i38]Jintang Li, Wangbin Sun, Ruofan Wu, Yuchang Zhu, Liang Chen, Zibin Zheng:
Scaling Up, Scaling Deep: Blockwise Graph Contrastive Learning. CoRR abs/2306.02117 (2023) - [i37]Jie Liao, Jintang Li, Liang Chen, Bingzhe Wu, Yatao Bian, Zibin Zheng:
SAILOR: Structural Augmentation Based Tail Node Representation Learning. CoRR abs/2308.06801 (2023) - [i36]Yachuan Liu, Liang Chen, Jindong Wang, Qiaozhu Mei, Xing Xie:
Meta Semantic Template for Evaluation of Large Language Models. CoRR abs/2310.01448 (2023) - [i35]Liang Chen, Yang Deng, Yatao Bian, Zeyu Qin, Bingzhe Wu, Tat-Seng Chua, Kam-Fai Wong:
Beyond Factuality: A Comprehensive Evaluation of Large Language Models as Knowledge Generators. CoRR abs/2310.07289 (2023) - [i34]Jintang Li, Zheng Wei, Jiawang Dan, Jing Zhou, Yuchang Zhu, Ruofan Wu, Baokun Wang, Zhang Zhen, Changhua Meng, Hong Jin, Zibin Zheng, Liang Chen:
Hetero$^2$Net: Heterophily-aware Representation Learning on Heterogenerous Graphs. CoRR abs/2310.11664 (2023) - [i33]Qichao Wang, Tian Bian, Yian Yin, Tingyang Xu, Hong Cheng, Helen M. Meng, Zibin Zheng, Liang Chen, Bingzhe Wu:
Language Agents for Detecting Implicit Stereotypes in Text-to-image Models at Scale. CoRR abs/2310.11778 (2023) - [i32]Zezhong Wang, Fangkai Yang, Lu Wang, Pu Zhao, Hongru Wang, Liang Chen, Qingwei Lin, Kam-Fai Wong:
Self-Guard: Empower the LLM to Safeguard Itself. CoRR abs/2310.15851 (2023) - [i31]Liang Chen, Yatao Bian, Yang Deng, Shuaiyi Li, Bingzhe Wu, Peilin Zhao, Kam-Fai Wong:
X-Mark: Towards Lossless Watermarking Through Lexical Redundancy. CoRR abs/2311.09832 (2023) - [i30]Jintang Li, Jiawang Dan, Ruofan Wu, Jing Zhou, Sheng Tian, Yunfei Liu, Baokun Wang, Changhua Meng, Weiqiang Wang, Yuchang Zhu, Liang Chen, Zibin Zheng:
LasTGL: An Industrial Framework for Large-Scale Temporal Graph Learning. CoRR abs/2311.16605 (2023) - [i29]Hongru Wang, Lingzhi Wang, Yiming Du, Liang Chen, Jingyan Zhou, Yufei Wang, Kam-Fai Wong:
A Survey of the Evolution of Language Model-Based Dialogue Systems. CoRR abs/2311.16789 (2023) - [i28]Yuchang Zhu, Jintang Li, Liang Chen, Zibin Zheng:
The Devil is in the Data: Learning Fair Graph Neural Networks via Partial Knowledge Distillation. CoRR abs/2311.17373 (2023) - [i27]Wangbin Sun, Jintang Li, Liang Chen, Bingzhe Wu, Yatao Bian, Zibin Zheng:
Rethinking and Simplifying Bootstrapped Graph Latents. CoRR abs/2312.02619 (2023) - 2022
- [j34]Fenfang Xie, Yangjun Xu, Angyu Zheng, Liang Chen, Zibin Zheng:
Service recommendation through graph attention network in heterogeneous information networks. Int. J. Comput. Sci. Eng. 25(6): 643-656 (2022) - [j33]Liang Chen, Tao Xie, Jintang Li, Zibin Zheng:
Graph Enhanced Neural Interaction Model for recommendation. Knowl. Based Syst. 246: 108616 (2022) - [j32]Zhouxin Yu, Jintang Li, Liang Chen, Zibin Zheng:
Unifying multi-associations through hypergraph for bundle recommendation. Knowl. Based Syst. 255: 109755 (2022) - [j31]Yang Liu, Liang Chen, Xiangnan He, Jiaying Peng, Zibin Zheng, Jie Tang:
Modelling High-Order Social Relations for Item Recommendation. IEEE Trans. Knowl. Data Eng. 34(9): 4385-4397 (2022) - [j30]Minghao Zhao, Qilin Deng, Kai Wang, Runze Wu, Jianrong Tao, Changjie Fan, Liang Chen, Peng Cui:
Bilateral Filtering Graph Convolutional Network for Multi-relational Social Recommendation in the Power-law Networks. ACM Trans. Inf. Syst. 40(2): 31:1-31:24 (2022) - [c76]Zulun Zhu, Jiaying Peng, Jintang Li, Liang Chen, Qi Yu, Siqiang Luo:
Spiking Graph Convolutional Networks. IJCAI 2022: 2434-2440 - [c75]Bingzhe Wu, Yatao Bian, Hengtong Zhang, Jintang Li, Junchi Yu, Liang Chen, Chaochao Chen, Junzhou Huang:
Trustworthy Graph Learning: Reliability, Explainability, and Privacy Protection. KDD 2022: 4838-4839 - [i26]Liang Chen, Qibiao Peng, Jintang Li, Yang Liu, Jiawei Chen, Yong Li, Zibin Zheng:
Neighboring Backdoor Attacks on Graph Convolutional Network. CoRR abs/2201.06202 (2022) - [i25]Bingzhe Wu, Jintang Li, Chengbin Hou, Guoji Fu, Yatao Bian, Liang Chen, Junzhou Huang:
Recent Advances in Reliable Deep Graph Learning: Adversarial Attack, Inherent Noise, and Distribution Shift. CoRR abs/2202.07114 (2022) - [i24]Jintang Li, Jie Liao, Ruofan Wu, Liang Chen, Changhua Meng, Zibin Zheng, Weiqiang Wang:
GUARD: Graph Universal Adversarial Defense. CoRR abs/2204.09803 (2022) - [i23]Yuansheng Wang, Wangbin Sun, Kun Xu, Zulun Zhu, Liang Chen, Zibin Zheng:
FastGCL: Fast Self-Supervised Learning on Graphs via Contrastive Neighborhood Aggregation. CoRR abs/2205.00905 (2022) - [i22]Ruoting Wu, Yuxin Zhang, Qibiao Peng, Liang Chen, Zibin Zheng:
A Survey of Deep Learning Models for Structural Code Understanding. CoRR abs/2205.01293 (2022) - [i21]Zulun Zhu, Jiaying Peng, Jintang Li, Liang Chen, Qi Yu, Siqiang Luo:
Spiking Graph Convolutional Networks. CoRR abs/2205.02767 (2022) - [i20]Bingzhe Wu, Jintang Li, Junchi Yu, Yatao Bian, Hengtong Zhang, Chaochao Chen, Chengbin Hou, Guoji Fu, Liang Chen, Tingyang Xu, Yu Rong, Xiaolin Zheng, Junzhou Huang, Ran He, Baoyuan Wu, Guangyu Sun, Peng Cui, Zibin Zheng, Zhe Liu, Peilin Zhao:
A Survey of Trustworthy Graph Learning: Reliability, Explainability, and Privacy Protection. CoRR abs/2205.10014 (2022) - [i19]Jintang Li, Ruofan Wu, Wangbin Sun, Liang Chen, Sheng Tian, Liang Zhu, Changhua Meng, Zibin Zheng, Weiqiang Wang:
MaskGAE: Masked Graph Modeling Meets Graph Autoencoders. CoRR abs/2205.10053 (2022) - [i18]Jintang Li, Zhouxin Yu, Zulun Zhu, Liang Chen, Qi Yu, Zibin Zheng, Sheng Tian, Ruofan Wu, Changhua Meng:
Scaling Up Dynamic Graph Representation Learning via Spiking Neural Networks. CoRR abs/2208.10364 (2022) - [i17]Zishan Gu, Jintang Li, Liang Chen:
Are All Edges Necessary? A Unified Framework for Graph Purification. CoRR abs/2211.05184 (2022) - [i16]Jintang Li, Jiaying Peng, Liang Chen, Zibin Zheng, Tingting Liang, Qing Ling:
Spectral Adversarial Training for Robust Graph Neural Network. CoRR abs/2211.10896 (2022) - 2021
- [j29]Tingting Liang, Xuan Sheng, Li Zhou, Youhuizi Li, Honghao Gao, Yuyu Yin, Liang Chen:
Mobile app recommendation via heterogeneous graph neural network in edge computing. Appl. Soft Comput. 103: 107162 (2021) - [j28]Liang Chen, Yangjun Xu, Fenfang Xie, Min Huang, Zibin Zheng:
Data poisoning attacks on neighborhood-based recommender systems. Trans. Emerg. Telecommun. Technol. 32(6) (2021) - [j27]Fenfang Xie, Angyu Zheng, Liang Chen, Zibin Zheng:
Attentive Meta-graph Embedding for item Recommendation in heterogeneous information networks. Knowl. Based Syst. 211: 106524 (2021) - [j26]Liang Chen, Jiaying Peng, Yang Liu, Jintang Li, Fenfang Xie, Zibin Zheng:
Phishing Scams Detection in Ethereum Transaction Network. ACM Trans. Internet Techn. 21(1): 10:1-10:16 (2021) - [c74]Kai Wang, Zhene Zou, Qilin Deng, Jianrong Tao, Runze Wu, Changjie Fan, Liang Chen, Peng Cui:
Reinforcement Learning with a Disentangled Universal Value Function for Item Recommendation. AAAI 2021: 4427-4435 - [c73]Kun Xu, Yuanzhen Xie, Liang Chen, Zibin Zheng:
Expanding Relationship for Cross Domain Recommendation. CIKM 2021: 2251-2260 - [c72]Tao Xie, Yangjun Xu, Liang Chen, Yang Liu, Zibin Zheng:
Sequential Recommendation on Dynamic Heterogeneous Information Network. ICDE 2021: 2105-2110 - [c71]Jintang Li, Kun Xu, Liang Chen, Zibin Zheng, Xiao Liu:
GraphGallery: A Platform for Fast Benchmarking and Easy Development of Graph Neural Networks Based Intelligent Software. ICSE (Companion Volume) 2021: 13-16 - [c70]Liang Chen, Jintang Li, Qibiao Peng, Yang Liu, Zibin Zheng, Carl Yang:
Understanding Structural Vulnerability in Graph Convolutional Networks. IJCAI 2021: 2249-2255 - [c69]Carl Yang, Haonan Wang, Ke Zhang, Liang Chen, Lichao Sun:
Secure Deep Graph Generation with Link Differential Privacy. IJCAI 2021: 3271-3278 - [c68]Jiawei Chen, Hande Dong, Yang Qiu, Xiangnan He, Xin Xin, Liang Chen, Guli Lin, Keping Yang:
AutoDebias: Learning to Debias for Recommendation. SIGIR 2021: 21-30 - [c67]Jiancan Wu, Xiang Wang, Fuli Feng, Xiangnan He, Liang Chen, Jianxun Lian, Xing Xie:
Self-supervised Graph Learning for Recommendation. SIGIR 2021: 726-735 - [c66]Yuanzhen Xie, Zijing Ou, Liang Chen, Yang Liu, Kun Xu, Carl Yang, Zibin Zheng:
Learning and Updating Node Embedding on Dynamic Heterogeneous Information Network. WSDM 2021: 184-192 - [c65]Yu Zheng, Chen Gao, Liang Chen, Depeng Jin, Yong Li:
DGCN: Diversified Recommendation with Graph Convolutional Networks. WWW 2021: 401-412 - [i15]Jintang Li, Kun Xu, Liang Chen, Zibin Zheng, Xiao Liu:
GraphGallery: A Platform for Fast Benchmarking and Easy Development of Graph Neural Networks Based Intelligent Software. CoRR abs/2102.07933 (2021) - [i14]Kai Wang, Zhene Zou, Qilin Deng, Runze Wu, Jianrong Tao, Changjie Fan, Liang Chen, Peng Cui:
Reinforcement Learning with a Disentangled Universal Value Function for Item Recommendation. CoRR abs/2104.02981 (2021) - [i13]Qilin Deng, Kai Wang, Minghao Zhao, Zhene Zou, Runze Wu, Jianrong Tao, Changjie Fan, Liang Chen:
Personalized Bundle Recommendation in Online Games. CoRR abs/2104.05307 (2021) - [i12]Jiawei Chen, Hande Dong, Yang Qiu, Xiangnan He, Xin Xin, Liang Chen, Guli Lin, Keping Yang:
AutoDebias: Learning to Debias for Recommendation. CoRR abs/2105.04170 (2021) - [i11]Liang Chen, Jintang Li, Qibiao Peng, Yang Liu, Zibin Zheng, Carl Yang:
Understanding Structural Vulnerability in Graph Convolutional Networks. CoRR abs/2108.06280 (2021) - [i10]Yu Zheng, Chen Gao, Liang Chen, Depeng Jin, Yong Li:
DGCN: Diversified Recommendation with Graph Convolutional Networks. CoRR abs/2108.06952 (2021) - 2020
- [j25]Liang Chen, Yuanzhen Xie, Zibin Zheng, Huayou Zheng, Jingdun Xie:
Friend Recommendation Based on Multi-Social Graph Convolutional Network. IEEE Access 8: 43618-43629 (2020) - [j24]Huakun Huang, Shuxue Ding, Lingjun Zhao, Huawei Huang, Liang Chen, Honghao Gao, Syed Hassan Ahmed:
Real-Time Fault Detection for IIoT Facilities Using GBRBM-Based DNN. IEEE Internet Things J. 7(7): 5713-5722 (2020) - [j23]Tingting Liang, Lifang He, Chun-Ta Lu, Liang Chen, Haochao Ying, Philip S. Yu, Jian Wu:
CAMAR: a broad learning based context-aware recommender for mobile applications. Knowl. Inf. Syst. 62(8): 3291-3319 (2020) - [j22]Tingting Liang, Lei Zheng, Liang Chen, Yao Wan, Philip S. Yu, Jian Wu:
Multi-view factorization machines for mobile app recommendation based on hierarchical attention. Knowl. Based Syst. 187 (2020) - [j21]Bin Wu, Xiangnan He, Zhongchuan Sun, Liang Chen, Yangdong Ye:
ATM: An Attentive Translation Model for Next-Item Recommendation. IEEE Trans. Ind. Informatics 16(3): 1448-1459 (2020) - [j20]Liang Chen, Yongjian Ye, Angyu Zheng, Fenfang Xie, Zibin Zheng, Michael R. Lyu:
Incorporating geographical location for team formation in social coding sites. World Wide Web 23(1): 153-174 (2020) - [c64]Fenfang Xie, Zengxu Cao, Yangjun Xu, Liang Chen, Zibin Zheng:
Graph Neural Network and Multi-view Learning Based Mobile Application Recommendation in Heterogeneous Graphs. SCC 2020: 100-107 - [c63]Qilin Deng, Kai Wang, Minghao Zhao, Zhene Zou, Runze Wu, Jianrong Tao, Changjie Fan, Liang Chen:
Personalized Bundle Recommendation in Online Games. CIKM 2020: 2381-2388 - [c62]Kai Wang, Hao Li, Linxia Gong, Jianrong Tao, Runze Wu, Changjie Fan, Liang Chen, Peng Cui:
Match Tracing: A Unified Framework for Real-time Win Prediction and Quantifiable Performance Evaluation. CIKM 2020: 2781-2788 - [c61]Runze Wu, Hao Deng, Jianrong Tao, Changjie Fan, Qi Liu, Liang Chen:
Deep Behavior Tracing with Multi-level Temporality Preserved Embedding. CIKM 2020: 2813-2820 - [c60]Jieming Zhu, Jinyang Liu, Weiqi Li, Jincai Lai, Xiuqiang He, Liang Chen, Zibin Zheng:
Ensembled CTR Prediction via Knowledge Distillation. CIKM 2020: 2941-2958 - [c59]Angyu Zheng, Liang Chen, Fenfang Xie, Jianrong Tao, Changjie Fan, Zibin Zheng:
Keep You from Leaving: Churn Prediction in Online Games. DASFAA (2) 2020: 263-279 - [c58]Yangjun Xu, Liang Chen, Fenfang Xie, Weibo Hu, Jieming Zhu, Chuan Chen, Zibin Zheng:
Directional Adversarial Training for Recommender Systems. ECAI 2020: 553-560 - [c57]Yang Liu, Jiaying Peng, Liang Chen, Zibin Zheng:
Abstract Interpretation Based Robustness Certification for Graph Convolutional Networks. ECAI 2020: 1309-1315 - [c56]Jintang Li, Zishan Gu, Qibiao Peng, Kun Xu, Liang Chen, Zibin Zheng:
Deep Insights into Graph Adversarial Learning: An Empirical Study Perspective. HBAI@IJCAI 2020: 87-101 - [c55]Wenqiang Lei, Gangyi Zhang, Xiangnan He, Yisong Miao, Xiang Wang, Liang Chen, Tat-Seng Chua:
Interactive Path Reasoning on Graph for Conversational Recommendation. KDD 2020: 2073-2083 - [c54]Yang Liu, Xianzhuo Xia, Liang Chen, Xiangnan He, Carl Yang, Zibin Zheng:
Certifiable Robustness to Discrete Adversarial Perturbations for Factorization Machines. SIGIR 2020: 419-428 - [i9]Liang Chen, Jintang Li, Jiaying Peng, Tao Xie, Zengxu Cao, Kun Xu, Xiangnan He, Zibin Zheng:
A Survey of Adversarial Learning on Graphs. CoRR abs/2003.05730 (2020) - [i8]Yang Liu, Liang Chen, Xiangnan He, Jiaying Peng, Zibin Zheng, Jie Tang:
Modelling High-Order Social Relations for Item Recommendation. CoRR abs/2003.10149 (2020) - [i7]Wenqiang Lei, Gangyi Zhang, Xiangnan He, Yisong Miao, Xiang Wang, Liang Chen, Tat-Seng Chua:
Interactive Path Reasoning on Graph for Conversational Recommendation. CoRR abs/2007.00194 (2020) - [i6]Jintang Li, Tao Xie, Liang Chen, Fenfang Xie, Xiangnan He, Zibin Zheng:
Adversarial Attack on Large Scale Graph. CoRR abs/2009.03488 (2020) - [i5]Jiancan Wu, Xiang Wang, Fuli Feng, Xiangnan He, Liang Chen, Jianxun Lian, Xing Xie:
Self-supervised Graph Learning for Recommendation. CoRR abs/2010.10783 (2020) - [i4]Jieming Zhu, Jinyang Liu, Weiqi Li, Jincai Lai, Xiuqiang He, Liang Chen, Zibin Zheng:
Ensembled CTR Prediction via Knowledge Distillation. CoRR abs/2011.04106 (2020)
2010 – 2019
- 2019
- [j19]Fenfang Xie, Liang Chen, Dongding Lin, Zibin Zheng, Xiaola Lin:
Personalized Service Recommendation With Mashup Group Preference in Heterogeneous Information Network. IEEE Access 7: 16155-16167 (2019) - [j18]Yinglan Feng, Liang Chen, Angyu Zheng, Cuiyun Gao, Zibin Zheng:
AC-Net: Assessing the Consistency of Description and Permission in Android Apps. IEEE Access 7: 57829-57842 (2019) - [j17]Liang Chen, Fenfang Xie, Zibin Zheng, Yaoming Wu:
Predicting Quality of Service via Leveraging Location Information. Complex. 2019: 4932030:1-4932030:16 (2019) - [j16]Tingting Liang, Liang Chen, Jian Wu, Guandong Xu, Zhaohui Wu:
SMS: A Framework for Service Discovery by Incorporating Social Media Information. IEEE Trans. Serv. Comput. 12(3): 384-397 (2019) - [c53]Xiongnan Jin, Byungkook Oh, Sanghak Lee, Dongho Lee, Kyong-Ho Lee, Liang Chen:
Learning Region Similarity over Spatial Knowledge Graphs with Hierarchical Types and Semantic Relations. CIKM 2019: 669-678 - [c52]Fenfang Xie, Shenghui Li, Liang Chen, Yangjun Xu, Zibin Zheng:
Generative Adversarial Network Based Service Recommendation in Heterogeneous Information Networks. ICWS 2019: 265-272 - [c51]Liang Chen, Yang Liu, Xiangnan He, Lianli Gao, Zibin Zheng:
Matching User with Item Set: Collaborative Bundle Recommendation with Deep Attention Network. IJCAI 2019: 2095-2101 - [i3]Peilin Zheng, Zibin Zheng, Liang Chen:
Selecting Reliable Blockchain Peers via Hybrid Blockchain Reliability Prediction. CoRR abs/1910.14614 (2019) - [i2]Liang Chen, Yangjun Xu, Fenfang Xie, Min Huang, Zibin Zheng:
Data Poisoning Attacks on Neighborhood-based Recommender Systems. CoRR abs/1912.04109 (2019) - 2018
- [j15]Yao Wan, Guandong Xu, Liang Chen, Zhou Zhao, Jian Wu:
Exploiting cross-source knowledge for warming up community question answering services. Neurocomputing 320: 25-34 (2018) - [j14]Hongzhi Yin, Weiqing Wang, Liang Chen, Xingzhong Du, Quoc Viet Hung Nguyen, Zi Huang:
Mobi-SAGE-RS: A sparse additive generative model-based mobile application recommender system. Knowl. Based Syst. 157: 68-80 (2018) - [j13]Yao Wan, Liang Chen, Guandong Xu, Zhou Zhao, Jie Tang, Jian Wu:
SCSMiner: mining social coding sites for software developer recommendation with relevance propagation. World Wide Web 21(6): 1523-1543 (2018) - [c50]Liang Chen, Yang Liu, Zibin Zheng, Philip S. Yu:
Heterogeneous Neural Attentive Factorization Machine for Rating Prediction. CIKM 2018: 833-842 - [c49]Shaoan Xie, Zibin Zheng, Liang Chen, Chuan Chen:
Learning Semantic Representations for Unsupervised Domain Adaptation. ICML 2018: 5419-5428 - [c48]Fenfang Xie, Liang Chen, Dongding Lin, Chuan Chen, Zibin Zheng, Xiaola Lin:
Group preference based API recommendation via heterogeneous information network. ICSE (Companion Volume) 2018: 362-363 - [c47]Liang Chen, Angyu Zheng, Yinglan Feng, Fenfang Xie, Zibin Zheng:
Software Service Recommendation Base on Collaborative Filtering Neural Network Model. ICSOC 2018: 388-403 - [c46]Fenfang Xie, Liang Chen, Yongjian Ye, Yang Liu, Zibin Zheng, Xiaola Lin:
A Weighted Meta-graph Based Approach for Mobile Application Recommendation on Heterogeneous Information Networks. ICSOC 2018: 404-420 - [c45]Lu Chen, Yuyu Yin, Yueshen Xu, Liang Chen, Jian Wan:
Two-Phase Web Service QoS Prediction with Restricted Boltzmann Machine. ICSOC 2018: 592-600 - [c44]Fenfang Xie, Liang Chen, Yongjian Ye, Zibin Zheng, Xiaola Lin:
Factorization Machine Based Service Recommendation on Heterogeneous Information Networks. ICWS 2018: 115-122 - 2017
- [j12]Athman Bouguettaya, Munindar P. Singh, Michael N. Huhns, Quan Z. Sheng, Hai Dong, Qi Yu, Azadeh Ghari Neiat, Sajib Mistry, Boualem Benatallah, Brahim Medjahed, Mourad Ouzzani, Fabio Casati, Xumin Liu, Hongbing Wang, Dimitrios Georgakopoulos, Liang Chen, Surya Nepal, Zaki Malik, Abdelkarim Erradi, Yan Wang, M. Brian Blake, Schahram Dustdar, Frank Leymann, Michael P. Papazoglou:
A service computing manifesto: the next 10 years. Commun. ACM 60(4): 64-72 (2017) - [j11]Li Kuang, Gaofeng Cao, Liang Chen:
Extracting Core Users Based on Features of Users and Their Relationships in Recommender Systems. Int. J. Web Serv. Res. 14(2): 1-23 (2017) - [c43]Hongzhi Yin, Liang Chen, Weiqing Wang, Xingzhong Du, Nguyen Quoc Viet Hung, Xiaofang Zhou:
Mobi-SAGE: A Sparse Additive Generative Model for Mobile App Recommendation. ICDE 2017: 75-78 - [c42]Tingting Liang, Lifang He, Chun-Ta Lu, Liang Chen, Philip S. Yu, Jian Wu:
A Broad Learning Approach for Context-Aware Mobile Application Recommendation. ICDM 2017: 955-960 - [c41]Yaoming Wu, Fenfang Xie, Liang Chen, Chuan Chen, Zibin Zheng:
An Embedding Based Factorization Machine Approach for Web Service QoS Prediction. ICSOC 2017: 272-286 - [c40]Tingting Liang, Liang Chen, Xingde Ying, Philip S. Yu, Jian Wu, Zibin Zheng:
Mobile Application Rating Prediction via Feature-Oriented Matrix Factorization. ICWS 2017: 261-268 - [c39]Yuqiang Han, Yao Wan, Liang Chen, Guandong Xu, Jian Wu:
Exploiting Geographical Location for Team Formation in Social Coding Sites. PAKDD (1) 2017: 499-510 - [i1]Tingting Liang, Lifang He, Chun-Ta Lu, Liang Chen, Philip S. Yu, Jian Wu:
A Broad Learning Approach for Context-Aware Mobile Application Recommendation. CoRR abs/1709.03621 (2017) - 2016
- [j10]Zhaohui Wu, Jianwei Yin, ShuiGuang Deng, Jian Wu, Ying Li, Liang Chen:
Modern Service Industry and Crossover Services: Development and Trends in China. IEEE Trans. Serv. Comput. 9(5): 664-671 (2016) - [c38]Haochao Ying, Liang Chen, Tingting Liang, Jian Wu:
EARec: leveraging expertise and authority for pull-request reviewer recommendation in GitHub. CSI-SE@ICSE 2016: 29-35 - [c37]Tingting Liang, Liang Chen, Jian Wu, Hai Dong, Athman Bouguettaya:
Meta-Path Based Service Recommendation in Heterogeneous Information Networks. ICSOC 2016: 371-386 - [c36]Bing Huang, Athman Bouguettaya, Hai Dong, Liang Chen:
Service Mining for Internet of Things. ICSOC 2016: 566-574 - [c35]Wei Gao, Liang Chen, Jian Wu, Hai Dong, Athman Bouguettaya:
Personalized API Recommendation via Implicit Preference Modeling. ICSOC 2016: 646-653 - [c34]Wei Gao, Liang Chen, Jian Wu, Athman Bouguettaya:
Joint Modeling Users, Services, Mashups, and Topics for Service Recommendation. ICWS 2016: 260-267 - [c33]Tingting Liang, Liang Chen, Jian Wu, Athman Bouguettaya:
Exploiting Heterogeneous Information for Tag Recommendation in API Management. ICWS 2016: 436-443 - [c32]Yao Wan, Liang Chen, Qi Yu, Tingting Liang, Jian Wu:
Incorporating Heterogeneous Information for Mashup Discovery with Consistent Regularization. PAKDD (1) 2016: 436-448 - [c31]Haochao Ying, Liang Chen, Yuwen Xiong, Jian Wu:
Collaborative Deep Ranking: A Hybrid Pair-Wise Recommendation Algorithm with Implicit Feedback. PAKDD (2) 2016: 555-567 - [c30]Liang Chen, Haochao Ying, Qibo Qiu, Jian Wu, Hai Dong, Athman Bouguettaya:
Temporal Pattern Based QoS Prediction. WISE (2) 2016: 223-237 - [c29]Haochao Ying, Liang Chen, Yuwen Xiong, Jian Wu:
PGRank: Personalized Geographical Ranking for Point-of-Interest Recommendation. WWW (Companion Volume) 2016: 137-138 - 2015
- [j9]Jian Wu, Liang Chen, Qi Yu, Panpan Han, Zhaohui Wu:
Trust-aware media recommendation in heterogeneous social networks. World Wide Web 18(1): 139-157 (2015) - [c28]Tingting Liang, Liang Chen, Haochao Ying, Zibin Zheng, Jian Wu:
Crowdsourcing Based API Search via Leveraging Twitter Lists Information. ICDM Workshops 2015: 1540-1547 - [c27]Tingting Liang, Liang Chen, Zhining Xie, Wei Yang, Jian Wu:
CASE: A Platform for Crowdsourcing Based API Search. ICSOC 2015: 482-485 - [c26]Liang Chen, Qi Yu, Philip S. Yu, Jian Wu:
WS-HFS: A Heterogeneous Feature Selection Framework for Web Services Mining. ICWS 2015: 193-200 - [c25]Qi Yu, Hongbing Wang, Liang Chen:
Learning Sparse Functional Factors for Large-Scale Service Clustering. ICWS 2015: 201-208 - [c24]Yao Wan, Liang Chen, Jian Wu, Qi Yu:
Time-Aware API Popularity Prediction via Heterogeneous Features. ICWS 2015: 424-431 - [c23]Wei Gao, Liang Chen, Jian Wu, Honghao Gao:
Manifold-Learning Based API Recommendation for Mashup Creation. ICWS 2015: 432-439 - 2014
- [j8]Jian Wu, Liang Chen, Yanan Xie, Lichuan Ji, Zhaohui Wu:
Modelling and exploring historical records to facilitate service composition. Int. J. Web Grid Serv. 10(1): 54-79 (2014) - [j7]Mingdong Tang, Zibin Zheng, Liang Chen, Jianxun Liu, Buqing Cao, Zhengguang You:
A Trust-Aware Search Engine for Complex Service Computing. Int. J. Web Serv. Res. 11(1): 57-75 (2014) - [j6]Jian Wu, Liang Chen, Zibin Zheng, Michael R. Lyu, Zhaohui Wu:
Clustering Web services to facilitate service discovery. Knowl. Inf. Syst. 38(1): 207-229 (2014) - [j5]Liang Chen, Jian Wu, Zibin Zheng, Michael R. Lyu, Zhaohui Wu:
Modeling and exploiting tag relevance for Web service mining. Knowl. Inf. Syst. 39(1): 153-173 (2014) - [j4]Liang Chen, Jian Wu, Hengyi Jian, Hongbo Deng, Zhaohui Wu:
Instant Recommendation for Web Services Composition. IEEE Trans. Serv. Comput. 7(4): 586-598 (2014) - [c22]Jalal Mahmud, Jeffrey Nichols, Michelle X. Zhou, James Caverlee, Yi Zeng, Liang Chen, John O'Donovan:
DUBMOD14 - International Workshop on Data-driven User Behavioral Modeling and Mining from Social Media. CIKM 2014: 2092-2093 - [c21]Liang Chen, Yilun Wang, Tingting Liang, Lichuan Ji, Jian Wu:
Data Augmented Maximum Margin Matrix Factorization for Flickr Group Recommendation. PAKDD (1) 2014: 473-484 - [c20]Tingting Liang, Liang Chen, Haochao Ying, Jian Wu:
Co-Clustering WSDL Documents to Bootstrap Service Discovery. SOCA 2014: 215-222 - [e1]Jalal Mahmud, James Caverlee, Jeffrey Nichols, John O'Donovan, Michelle X. Zhou, Yi Zeng, Liang Chen:
Proceedings of the 3rd Workshop on Data-Driven User Behavioral Modeling and Mining from Social Media, DUBMOD@CIKM 2014, Shanghai, China, November 3, 2014. ACM 2014, ISBN 978-1-4503-1303-2 [contents] - 2013
- [j3]Jian Wu, Liang Chen, Qi Yu, Li Kuang, Yilun Wang, Zhaohui Wu:
Selecting skyline services for QoS-aware composition by upgrading MapReduce paradigm. Clust. Comput. 16(4): 693-706 (2013) - [j2]Jian Wu, Liang Chen, Yipeng Feng, Zibin Zheng, MengChu Zhou, Zhaohui Wu:
Predicting Quality of Service for Selection by Neighborhood-Based Collaborative Filtering. IEEE Trans. Syst. Man Cybern. Syst. 43(2): 428-439 (2013) - [c19]Li Kuang, Liang Chen, Yanan Xie, Jian Wu:
Full Recognition of Massive Products Based on Property Set. BigData Congress 2013: 294-301 - [c18]Yilun Wang, Liang Chen, Jian Wu:
Content-boosted maximum margin matrix factorization for Flickr group recommendation. DUBMOD@CIKM 2013: 13-16 - [c17]Yanan Xie, Liang Chen, Kunyang Jia, Lichuan Ji, Jian Wu:
iNewsBox: modeling and exploiting implicit feedback for building personalized news radio. CIKM 2013: 2485-2488 - [c16]Liang Chen, Yilun Wang, Qi Yu, Zibin Zheng, Jian Wu:
WT-LDA: User Tagging Augmented LDA for Web Service Clustering. ICSOC 2013: 162-176 - [c15]Panpan Han, Liang Chen, Jian Wu:
A Semantic-Based Dual Caching System for Nomadic Web Service. PAKDD Workshops 2013: 511-521 - [c14]Hanze Xu, Yanan Xie, Dinglong Duan, Liang Chen, Jian Wu:
FTCRank: Ranking Components for Building Highly Reliable Cloud Applications. PAKDD Workshops 2013: 522-532 - [c13]Liang Chen, Yipeng Feng, Jian Wu:
Collaborative QoS Prediction via Feedback-Based Trust Model. SOCA 2013: 206-213 - [c12]Tingting Liang, Lichuan Ji, Liang Chen, Jian Wu, Zhaohui Wu:
Collaborative QoS Prediction via Matrix Factorization and Topic Model. SOCA 2013: 282-289 - 2012
- [j1]Jian Wu, Liang Chen, Hengyi Jian, Zhaohui Wu:
Composite Service Recommendation Based on Bayes Theorem. Int. J. Web Serv. Res. 9(2): 69-93 (2012) - [c11]Liang Chen, Zibin Zheng, Yipeng Feng, Jian Wu, Michael R. Lyu:
WSTRank: Ranking Tags to Facilitate Web Service Mining. ICSOC 2012: 574-581 - [c10]Liang Chen, Hengyi Jian, Jian Wu:
WSCRec: Utilizing Historical Information to Facilitate Web Service Composition. ICWS 2012: 633-634 - [c9]Liang Chen, Li Kuang, Jian Wu:
MapReduce Based Skyline Services Selection for QoS-aware Composition. IPDPS Workshops 2012: 2035-2042 - [c8]Liang Chen, Kai Hwang, Jian Wu:
MapReduce Skyline Query Processing with a New Angular Partitioning Approach. IPDPS Workshops 2012: 2262-2270 - [c7]Jian Wu, Liang Chen, Yanan Xie, Zibin Zheng:
Titan: a system for effective web service discovery. WWW (Companion Volume) 2012: 441-444 - 2011
- [c6]Ying Ma, Liang Chen, Jian Hui, Jian Wu:
CBBCM: Clustering Based Automatic Service Composition. IEEE SCC 2011: 354-361 - [c5]Limin Pan, Liang Chen, Jian Hui, Jian Wu:
QoS-Based Distributed Service Selection in Large-Scale Web Services. IEEE SCC 2011: 725-726 - [c4]Liang Chen, Yipeng Feng, Jian Wu, Zibin Zheng:
An Enhanced QoS Prediction Approach for Service Selection. IEEE SCC 2011: 727-728 - [c3]Liang Chen, Liukai Hu, Zibin Zheng, Jian Wu, Jianwei Yin, Ying Li, ShuiGuang Deng:
WTCluster: Utilizing Tags for Web Services Clustering. ICSOC 2011: 204-218 - 2010
- [c2]Liang Chen, Jian Wu, Ru Jia, ShuiGuang Deng, Ying Li:
Recommendation on Uncertain Services. ICWS 2010: 683-684 - [c1]Liang Chen, Jian Wu, ShuiGuang Deng, Ying Li:
Service Recommendation: Similarity-Based Representative Skyline. SERVICES 2010: 360-366
Coauthor Index
[j42] [i58] [i57] [i55] [j39] [c101] [c99] [c98] [c96] [c95] [c94] [c93] [i52] [i50] [i49] [i48] [i47] [i46] [i45] [j37] [j36] [c92] [c89] [c88] [c80] [c79] [c78] [i43] [i41] [i39] [i38] [i37] [i34] [i30] [i28] [i27] [j33] [j32] [c76] [c75] [i26] [i25] [i24] [i21] [i20] [i19] [i18] [i17] [i16] [j26] [c71] [c70] [i15] [i11] [c56] [i9] [i6]
[i58] [i57] [i55] [j41] [j40] [j39] [c101] [c98] [c96] [c95] [c94] [c93] [i52] [i50] [i49] [i48] [i46] [i45] [j38] [j37] [j36] [c92] [c89] [c88] [c81] [c80] [c78] [i43] [i40] [i39] [i38] [i37] [i34] [i33] [i30] [i28] [i27] [j34] [j33] [j32] [j31] [i26] [i24] [i23] [i22] [i20] [i19] [i18] [i16] [j28] [j27] [j26] [c73] [c72] [c71] [c70] [c66] [i15] [i11] [j25] [j20] [c64] [c60] [c59] [c58] [c57] [c56] [c54] [i9] [i8] [i6] [i4] [j19] [j18] [j17] [c52] [c51] [i3] [i2] [c50] [c49] [c48] [c47] [c46] [c44] [c41] [c40] [c28] [j7] [j6] [j5] [j2] [c16] [c11] [c7] [c4] [c3]
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