Google
Google Scholar
Semantic Scholar
MS Academic
CiteSeerX
ORCIDChenliang Li
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2021
[j34]Xiaobing Yu, Chenliang Li, Gary G. Yen:
A knee-guided differential evolution algorithm for unmanned aerial vehicle path planning in disaster management. Appl. Soft Comput. 98: 106857 (2021)- [j33]Zhumin Chen, Xueqi Cheng, Shoubin Dong, Zhicheng Dou, Jiafeng Guo, Xuanjing Huang, Yanyan Lan, Chenliang Li, Ru Li, Tie-Yan Liu, Yiqun Liu, Jun Ma, Bing Qin, Mingwen Wang, Ji-Rong Wen, Jun Xu, Min Zhang, Peng Zhang, Qi Zhang:
Information retrieval: a view from the Chinese IR community. Frontiers Comput. Sci. 15(1): 151601 (2021) - [j32]Lu Li, Chenliang Li, Donghong Ji:
Deep context modeling for multi-turn response selection in dialogue systems. Inf. Process. Manag. 58(1): 102415 (2021) - [j31]Chenliang Li, Xiaobing Yu:
A hybrid model based on PROMETHEE and PLTSs for the assessment of public participation in community meteorological disaster prevention and mitigation. J. Intell. Fuzzy Syst. 40(5): 9583-9595 (2021) - [j30]Xiaobing Yu, WangYing Xu, Chenliang Li:
Opposition-based learning grey wolf optimizer for global optimization. Knowl. Based Syst. 226: 107139 (2021) - [c57]Ming Yan, Chenliang Li, Bin Bi, Wei Wang, Songfang Huang:
A Unified Pretraining Framework for Passage Ranking and Expansion. AAAI 2021: 4555-4563 - [c56]Haiyang Xu, Ming Yan, Chenliang Li, Bin Bi, Songfang Huang, Wenming Xiao, Fei Huang:
E2E-VLP: End-to-End Vision-Language Pre-training Enhanced by Visual Learning. ACL/IJCNLP (1) 2021: 503-513 - [c55]Chenliang Li, Bin Bi, Ming Yan, Wei Wang, Songfang Huang:
Addressing Semantic Drift in Generative Question Answering with Auxiliary Extraction. ACL/IJCNLP (2) 2021: 942-947 - [c54]Chenliang Li, Bin Bi, Ming Yan, Wei Wang, Songfang Huang, Fei Huang, Luo Si:
StructuralLM: Structural Pre-training for Form Understanding. ACL/IJCNLP (1) 2021: 6309-6318 - [c53]Junfeng Tian, Min Gui, Chenliang Li, Ming Yan, Wenming Xiao:
MinD at SemEval-2021 Task 6: Propaganda Detection using Transfer Learning and Multimodal Fusion. SemEval@ACL/IJCNLP 2021: 1082-1087 - [c52]Yu Tian, Yuhao Yang, Xudong Ren, Pengfei Wang, Fangzhao Wu, Qian Wang, Chenliang Li:
Joint Knowledge Pruning and Recurrent Graph Convolution for News Recommendation. SIGIR 2021: 51-60 - [c51]Yuqi Qin, Pengfei Wang, Chenliang Li:
The World is Binary: Contrastive Learning for Denoising Next Basket Recommendation. SIGIR 2021: 859-868 - [c50]Houyi Li, Zhihong Chen, Chenliang Li, Rong Xiao, Hongbo Deng, Peng Zhang, Yongchao Liu, Haihong Tang:
Path-based Deep Network for Candidate Item Matching in Recommenders. SIGIR 2021: 1493-1502 - [c49]Bulou Liu, Yueyue Wu, Yiqun Liu, Fan Zhang, Yunqiu Shao, Chenliang Li, Min Zhang, Shaoping Ma:
Conversational vs Traditional: Comparing Search Behavior and Outcome in Legal Case Retrieval. SIGIR 2021: 1622-1626 - [c48]Shiqian Chen, Zhiling Luo, Yingqi Gao, Wei Zhou, Chenliang Li, Haiqing Chen:
Adapted Graph Reasoning and Filtration for Description-Image Retrieval. SIGIR 2021: 1839-1843 - [c47]Guohai Xu, Yan Shao, Chenliang Li, Feng-Lin Li, Bin Bi, Ji Zhang, Haiqing Chen:
AliMe DA: A Data Augmentation Framework for Question Answering in Cold-start Scenarios. SIGIR 2021: 2637-2638 - [c46]Xichuan Niu, Bofang Li, Chenliang Li, Jun Tan, Rong Xiao, Hongbo Deng:
Heterogeneous Graph Augmented Multi-Scenario Sharing Recommendation with Tree-Guided Expert Networks. WSDM 2021: 1038-1046 - [i26]Chenliang Li, Ming Yan, Haiyang Xu, Fuli Luo, Wei Wang, Bin Bi, Songfang Huang:
SemVLP: Vision-Language Pre-training by Aligning Semantics at Multiple Levels. CoRR abs/2103.07829 (2021) - [i25]Houyi Li, Zhihong Chen, Chenliang Li, Rong Xiao, Hongbo Deng, Peng Zhang, Yongchao Liu, Haihong Tang:
Path-based Deep Network for Candidate Item Matching in Recommenders. CoRR abs/2105.08246 (2021) - [i24]Chenliang Li, Bin Bi, Ming Yan, Wei Wang, Songfang Huang, Fei Huang, Luo Si:
StructuralLM: Structural Pre-training for Form Understanding. CoRR abs/2105.11210 (2021) - [i23]Haiyang Xu, Ming Yan, Chenliang Li, Bin Bi, Songfang Huang, Wenming Xiao, Fei Huang:
E2E-VLP: End-to-End Vision-Language Pre-training Enhanced by Visual Learning. CoRR abs/2106.01804 (2021) - 2020
- [j29]Xiaobing Yu, Chenliang Li, Wen-Xuan Zhao, Hong Chen:
A novel case adaptation method based on differential evolution algorithm for disaster emergency. Appl. Soft Comput. 92: 106306 (2020) - [j28]Weiran Xu, Chenliang Li, Minghao Lee, Chi Zhang:
Multi-task learning for abstractive text summarization with key information guide network. EURASIP J. Adv. Signal Process. 2020(1): 16 (2020) - [j27]Zhiqian Zhang, Chenliang Li, Zhiyong Wu, Aixin Sun
, Dengpan Ye, Xiangyang Luo:
NEXT: a neural network framework for next POI recommendation. Frontiers Comput. Sci. 14(2): 314-333 (2020) - [j26]Xianrui Yu, Xiaobing Yu, Chenliang Li, Hong Chen:
An Improved Parameter Control Based on a Fuzzy System for Gravitational Search Algorithm. Int. J. Comput. Intell. Syst. 13(1): 893-903 (2020) - [j25]Yaqiong Qiao, Xiangyang Luo, Chenliang Li, Hechan Tian, Jiangtao Ma:
Heterogeneous graph-based joint representation learning for users and POIs in location-based social network. Inf. Process. Manag. 57(2): 102151 (2020) - [j24]Xiangyang Luo, Yaqiong Qiao, Chenliang Li, Jiangtao Ma, Yimin Liu:
An overview of microblog user geolocation methods. Inf. Process. Manag. 57(6): 102375 (2020) - [j23]Xiaobing Yu, Chenliang Li, JiaFang Zhou:
A constrained differential evolution algorithm to solve UAV path planning in disaster scenarios. Knowl. Based Syst. 204: 106209 (2020) - [j22]Wei Emma Zhang, Quan Z. Sheng, Ahoud Abdulrahmn F. Alhazmi, Chenliang Li:
Adversarial Attacks on Deep-learning Models in Natural Language Processing: A Survey. ACM Trans. Intell. Syst. Technol. 11(3): 24:1-24:41 (2020) - [j21]Xiukun Wei, Siyang Jiang, Yan Li, Chenliang Li, Limin Jia, Yongguang Li:
Defect Detection of Pantograph Slide Based on Deep Learning and Image Processing Technology. IEEE Trans. Intell. Transp. Syst. 21(3): 947-958 (2020) - [j20]Bulou Liu, Chenliang Li, Wei Zhou, Feng Ji, Yu Duan, Haiqing Chen:
An Attention-based Deep Relevance Model for Few-shot Document Filtering. ACM Trans. Inf. Syst. 39(1): 6:1-6:35 (2020) - [c45]Bin Bi, Chen Wu, Ming Yan, Wei Wang, Jiangnan Xia, Chenliang Li:
Generating Well-Formed Answers by Machine Reading with Stochastic Selector Networks. AAAI 2020: 7424-7431 - [c44]Jialong Han, Aixin Sun, Haisong Zhang, Chenliang Li, Shuming Shi:
CASE: Context-Aware Semantic Expansion. AAAI 2020: 7871-7878 - [c43]Yu Duan, Canwen Xu, Jiaxin Pei, Jialong Han, Chenliang Li:
Pre-train and Plug-in: Flexible Conditional Text Generation with Variational Auto-Encoders. ACL 2020: 253-262 - [c42]Canwen Xu, Jiaxin Pei, Hongtao Wu, Yiyu Liu, Chenliang Li:
MATINF: A Jointly Labeled Large-Scale Dataset for Classification, Question Answering and Summarization. ACL 2020: 3586-3596 - [c41]Hao Tang, Donghong Ji, Chenliang Li, Qiji Zhou:
Dependency Graph Enhanced Dual-transformer Structure for Aspect-based Sentiment Classification. ACL 2020: 6578-6588 - [c40]Xichuan Niu, Bofang Li, Chenliang Li, Rong Xiao, Haochuan Sun, Honggang Wang, Hongbo Deng, Zhenzhong Chen:
Gated Heterogeneous Graph Representation Learning for Shop Search in E-commerce. CIKM 2020: 2165-2168 - [c39]Chenliang Li, Cuiyu Liu:
On Teaching Method of Numerical Solution to Partial Differential Equations Based on Mathematical Thinking Methods. CIPAE 2020: 442-445 - [c38]Bin Bi, Chenliang Li, Chen Wu, Ming Yan, Wei Wang, Songfang Huang, Fei Huang, Luo Si:
PALM: Pre-training an Autoencoding&Autoregressive Language Model for Context-conditioned Generation. EMNLP (1) 2020: 8681-8691 - [c37]Canwen Xu, Tao Ge, Chenliang Li, Furu Wei:
UnihanLM: Coarse-to-Fine Chinese-Japanese Language Model Pretraining with the Unihan Database. AACL/IJCNLP 2020: 201-211 - [c36]Xichuan Niu, Bofang Li, Chenliang Li, Rong Xiao, Haochuan Sun, Hongbo Deng, Zhenzhong Chen:
A Dual Heterogeneous Graph Attention Network to Improve Long-Tail Performance for Shop Search in E-Commerce. KDD 2020: 3405-3415 - [c35]Cheng Zhao, Chenliang Li, Rong Xiao, Hongbo Deng, Aixin Sun:
CATN: Cross-Domain Recommendation for Cold-Start Users via Aspect Transfer Network. SIGIR 2020: 229-238 - [c34]Zhihong Chen, Rong Xiao, Chenliang Li, Gangfeng Ye, Haochuan Sun, Hongbo Deng:
ESAM: Discriminative Domain Adaptation with Non-Displayed Items to Improve Long-Tail Performance. SIGIR 2020: 579-588 - [c33]Yitong Ji, Aixin Sun, Jie Zhang, Chenliang Li:
A Re-visit of the Popularity Baseline in Recommender Systems. SIGIR 2020: 1749-1752 - [c32]Yile Chen, Cheng Long, Gao Cong, Chenliang Li:
Context-aware Deep Model for Joint Mobility and Time Prediction. WSDM 2020: 106-114 - [c31]Huiqiang Mao, Yanzhi Li, Chenliang Li, Di Chen, Xiaoqing Wang, Yuming Deng:
PARS: Peers-aware Recommender System. WWW 2020: 2606-2612 - [i22]Bin Bi, Chenliang Li, Chen Wu, Ming Yan, Wei Wang:
PALM: Pre-training an Autoencoding&Autoregressive Language Model for Context-conditioned Generation. CoRR abs/2004.07159 (2020) - [i21]Canwen Xu, Jiaxin Pei, Hongtao Wu, Yiyu Liu, Chenliang Li:
MATINF: A Jointly Labeled Large-Scale Dataset for Classification, Question Answering and Summarization. CoRR abs/2004.12302 (2020) - [i20]Zhihong Chen, Rong Xiao, Chenliang Li, Gangfeng Ye, Haochuan Sun, Hongbo Deng:
ESAM: Discriminative Domain Adaptation with Non-Displayed Items to Improve Long-Tail Performance. CoRR abs/2005.10545 (2020) - [i19]Cheng Zhao, Chenliang Li, Rong Xiao, Hongbo Deng, Aixin Sun:
CATN: Cross-Domain Recommendation for Cold-Start Users via Aspect Transfer Network. CoRR abs/2005.10549 (2020) - [i18]Yitong Ji, Aixin Sun, Jie Zhang, Chenliang Li:
A Re-visit of the Popularity Baseline in Recommender Systems. CoRR abs/2005.13829 (2020) - [i17]Yitong Ji, Aixin Sun, Jie Zhang, Chenliang Li:
On Offline Evaluation of Recommender Systems. CoRR abs/2010.11060 (2020)
2010 – 2019
- 2019
- [j19]Weiwei Yuan, Chenliang Li, Guangjie Han, Donghai Guan, Li Zhou, Kangya He:
Negative sign prediction for signed social networks. Future Gener. Comput. Syst. 93: 962-970 (2019) - [j18]Xiaobing Yu, Chenliang Li, Hong Chen, Xianrui Yu:
Evaluate the Effectiveness of Multiobjective Evolutionary Algorithms by Box Plots and Fuzzy TOPSIS. Int. J. Comput. Intell. Syst. 12(2): 733-743 (2019) - [j17]Weiwei Yuan, Kangya He, Donghai Guan, Li Zhou, Chenliang Li:
Graph kernel based link prediction for signed social networks. Inf. Fusion 46: 1-10 (2019) - [j16]Daochen Zha, Chenliang Li:
Multi-label dataless text classification with topic modeling. Knowl. Inf. Syst. 61(1): 137-160 (2019) - [j15]Minh C. Phan, Aixin Sun, Yi Tay, Jialong Han, Chenliang Li:
Pair-Linking for Collective Entity Disambiguation: Two Could Be Better Than All. IEEE Trans. Knowl. Data Eng. 31(7): 1383-1396 (2019) - [j14]Chenliang Li, Shiqian Chen, Jian Xing, Aixin Sun, Zongyang Ma:
Seed-Guided Topic Model for Document Filtering and Classification. ACM Trans. Inf. Syst. 37(1): 9:1-9:37 (2019) - [j13]Libing Wu, Cong Quan, Chenliang Li, Qian Wang, Bolong Zheng, Xiangyang Luo:
A Context-Aware User-Item Representation Learning for Item Recommendation. ACM Trans. Inf. Syst. 37(2): 22:1-22:29 (2019) - [j12]Bolong Zheng, Kai Zheng, Peter Scheuermann, Xiaofang Zhou, Quoc Viet Hung Nguyen, Chenliang Li:
Searching activity trajectory with keywords. World Wide Web 22(3): 967-1000 (2019) - [c30]Peifeng Wang, Jialong Han, Chenliang Li, Rong Pan:
Logic Attention Based Neighborhood Aggregation for Inductive Knowledge Graph Embedding. AAAI 2019: 7152-7159 - [c29]Yan Qi, Chenliang Li, Han Deng, Min Cai, Yunwei Qi, Yuming Deng:
A Deep Neural Framework for Sales Forecasting in E-Commerce. CIKM 2019: 299-308 - [c28]Cheng Zhao, Chenliang Li, Cong Fu:
Cross-Domain Recommendation via Preference Propagation GraphNet. CIKM 2019: 2165-2168 - [c27]Canwen Xu, Feiyang Wang, Jialong Han, Chenliang Li:
Exploiting Multiple Embeddings for Chinese Named Entity Recognition. CIKM 2019: 2269-2272 - [c26]Bin Bi, Chen Wu, Ming Yan, Wei Wang, Jiangnan Xia, Chenliang Li:
Incorporating External Knowledge into Machine Reading for Generative Question Answering. EMNLP/IJCNLP (1) 2019: 2521-2530 - [c25]Chenliang Li, Xichuan Niu, Xiangyang Luo, Zhenzhong Chen, Cong Quan:
A Review-Driven Neural Model for Sequential Recommendation. IJCAI 2019: 2866-2872 - [c24]Chenliang Li, Donghai Guan, Weiwei Yuan:
Network Embedding via Link Strength Adjusted Random Walk. PKAW 2019: 163-172 - [c23]Chenliang Li, Cong Quan, Li Peng, Yunwei Qi, Yuming Deng, Libing Wu:
A Capsule Network for Recommendation and Explaining What You Like and Dislike. SIGIR 2019: 275-284 - [c22]Ming Yan, Chenliang Li, Chen Wu, Bin Bi, Wei Wang, Jiangnan Xia, Luo Si:
IDST at TREC 2019 Deep Learning Track: Deep Cascade Ranking with Generation-based Document Expansion and Pre-trained Language Modeling. TREC 2019 - [c21]Shiqian Chen, Chenliang Li, Feng Ji, Wei Zhou, Haiqing Chen:
Review-Driven Answer Generation for Product-Related Questions in E-Commerce. WSDM 2019: 411-419 - [c20]Canwen Xu, Jing Li, Xiangyang Luo, Jiaxin Pei, Chenliang Li, Donghong Ji:
DLocRL: A Deep Learning Pipeline for Fine-Grained Location Recognition and Linking in Tweets. WWW 2019: 3391-3397 - [i16]Canwen Xu, Jing Li, Xiangyang Luo, Jiaxin Pei, Chenliang Li, Donghong Ji:
DLocRL: A Deep Learning Pipeline for Fine-Grained Location Recognition and Linking in Tweets. CoRR abs/1901.07005 (2019) - [i15]Shiqian Chen, Chenliang Li, Feng Ji, Wei Zhou, Haiqing Chen:
Review-Driven Answer Generation for Product-Related Questions in E-Commerce. CoRR abs/1905.01994 (2019) - [i14]Jiaxin Pei, Aixin Sun, Chenliang Li:
Targeted Sentiment Analysis: A Data-Driven Categorization. CoRR abs/1905.03423 (2019) - [i13]Chenliang Li, Xichuan Niu, Xiangyang Luo, Zhenzhong Chen, Cong Quan:
A Review-Driven Neural Model for Sequential Recommendation. CoRR abs/1907.00590 (2019) - [i12]Chenliang Li, Cong Quan, Li Peng, Yunwei Qi, Yuming Deng, Libing Wu:
A Capsule Network for Recommendation and Explaining What You Like and Dislike. CoRR abs/1907.00687 (2019) - [i11]Canwen Xu, Zhenzhong Chen, Chenliang Li:
Obj-GloVe: Scene-Based Contextual Object Embedding. CoRR abs/1907.01478 (2019) - [i10]Canwen Xu, Feiyang Wang, Jialong Han, Chenliang Li:
Exploiting Multiple Embeddings for Chinese Named Entity Recognition. CoRR abs/1908.10657 (2019) - [i9]Bin Bi, Chen Wu, Ming Yan, Wei Wang, Jiangnan Xia, Chenliang Li:
Incorporating External Knowledge into Machine Reading for Generative Question Answering. CoRR abs/1909.02745 (2019) - [i8]Yu Duan, Jiaxin Pei, Canwen Xu, Chenliang Li:
Pre-train and Plug-in: Flexible Conditional Text Generation with Variational Auto-Encoders. CoRR abs/1911.03882 (2019) - [i7]Jialong Han, Aixin Sun, Haisong Zhang, Chenliang Li, Shuming Shi:
CASE: Context-Aware Semantic Expansion. CoRR abs/1912.13194 (2019) - 2018
- [j11]Weiwei Yuan, Chenliang Li, Donghai Guan, Guangjie Han, Asad Masood Khattak:
Socialized healthcare service recommendation using deep learning. Neural Comput. Appl. 30(7): 2071-2082 (2018) - [c19]Chenliang Li, Wei Zhou, Feng Ji, Yu Duan, Haiqing Chen:
A Deep Relevance Model for Zero-Shot Document Filtering. ACL (1) 2018: 2300-2310 - [c18]Yan Li, Chenliang Li, Weiran Xu, Junliang Li:
Prior Knowledge Integrated with Self-attention for Event Detection. CCIR 2018: 263-273 - [c17]Libing Wu, Cong Quan, Chenliang Li, Donghong Ji:
PARL: Let Strangers Speak Out What You Like. CIKM 2018: 677-686 - [c16]Ximing Li, Changchun Li, Jinjin Chi, Jihong Ouyang, Chenliang Li:
Dataless Text Classification: A Topic Modeling Approach with Document Manifold. CIKM 2018: 973-982 - [c15]Jiaxin Pei, Chenliang Li:
S2SPMN: A Simple and Effective Framework for Response Generation with Relevant Information. EMNLP 2018: 745-750 - [c14]Minghui Li, Mingxue Zhang, Qian Wang, Sherman S. M. Chow, Minxin Du, Yanjiao Chen, Chenliang Li:
InstantCryptoGram: Secure Image Retrieval Service. INFOCOM 2018: 2222-2230 - [c13]Chenliang Li, Weiran Xu, Si Li, Sheng Gao:
Guiding Generation for Abstractive Text Summarization Based on Key Information Guide Network. NAACL-HLT (2) 2018: 55-60 - [e2]Shichao Zhang, Tie-Yan Liu, Xianxian Li, Jiafeng Guo, Chenliang Li:
Information Retrieval - 24th China Conference, CCIR 2018, Guilin, China, September 27-29, 2018, Proceedings. Lecture Notes in Computer Science 11168, Springer 2018, ISBN 978-3-030-01011-9 [contents] - [i6]Minh C. Phan, Aixin Sun, Yi Tay, Jialong Han, Chenliang Li:
Pair-Linking for Collective Entity Disambiguation: Two Could Be Better Than All. CoRR abs/1802.01074 (2018) - [i5]Peifeng Wang, Jialong Han, Chenliang Li, Rong Pan:
Logic Attention Based Neighborhood Aggregation for Inductive Knowledge Graph Embedding. CoRR abs/1811.01399 (2018) - [i4]Jing Li, Aixin Sun, Jianglei Han, Chenliang Li:
A Survey on Deep Learning for Named Entity Recognition. CoRR abs/1812.09449 (2018) - 2017
- [j10]Chenliang Li, Aixin Sun:
Extracting fine-grained location with temporal awareness in tweets: A two-stage approach. J. Assoc. Inf. Sci. Technol. 68(7): 1652-1670 (2017) - [j9]Chenliang Li, Yu Duan, Haoran Wang, Zhiqian Zhang, Aixin Sun, Zongyang Ma:
Enhancing Topic Modeling for Short Texts with Auxiliary Word Embeddings. ACM Trans. Inf. Syst. 36(2): 11:1-11:30 (2017) - [c12]Qiang Chen, Chenliang Li, Wenjie Li:
Modeling Language Discrepancy for Cross-Lingual Sentiment Analysis. CIKM 2017: 117-126 - [c11]Minh C. Phan, Aixin Sun, Yi Tay, Jialong Han, Chenliang Li:
NeuPL: Attention-based Semantic Matching and Pair-Linking for Entity Disambiguation. CIKM 2017: 1667-1676 - [c10]Li Zhou, Weiwei Yuan, Kangya He, Chenliang Li, Qiang Li:
Kernel Searching Strategy for Recommender Searching Mechanism. ICCCS (2) 2017: 441-449 - [c9]Weiwei Yuan, Chenliang Li, Donghai Guan, Guangjie Han, Feng Wang:
IoT Service Provider Recommender Model Using Trust Strength. IoTaaS 2017: 286-293 - [e1]Ee-Peng Lim, Marianne Winslett, Mark Sanderson, Ada Wai-Chee Fu, Jimeng Sun, J. Shane Culpepper, Eric Lo, Joyce C. Ho, Debora Donato, Rakesh Agrawal, Yu Zheng, Carlos Castillo, Aixin Sun, Vincent S. Tseng, Chenliang Li:
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, CIKM 2017, Singapore, November 06 - 10, 2017. ACM 2017, ISBN 978-1-4503-4918-5 [contents] - [i3]Zhiqian Zhang, Chenliang Li, Zhiyong Wu, Aixin Sun, Dengpan Ye, Xiangyang Luo:
NEXT: A Neural Network Framework for Next POI Recommendation. CoRR abs/1704.04576 (2017) - [i2]Daochen Zha, Chenliang Li:
Multi-label Dataless Text Classification with Topic Modeling. CoRR abs/1711.01563 (2017) - [i1]Libing Wu, Cong Quan, Chenliang Li, Qian Wang, Bolong Zheng:
A Context-Aware User-Item Representation Learning for Item Recommendation. CoRR abs/1712.02342 (2017) - 2016
- [j8]Cuiyu Liu, Chenliang Li:
Synchronous and Asynchronous Multisplitting Iteration Schemes for Solving Mixed Linear Complementarity Problems with H-Matrices. J. Optim. Theory Appl. 171(1): 169-185 (2016) - [c8]Chenliang Li, Jian Xing, Aixin Sun, Zongyang Ma:
Effective Document Labeling with Very Few Seed Words: A Topic Model Approach. CIKM 2016: 85-94 - [c7]Chenliang Li, Haoran Wang, Zhiqian Zhang, Aixin Sun, Zongyang Ma:
Topic Modeling for Short Texts with Auxiliary Word Embeddings. SIGIR 2016: 165-174 - 2015
- [j7]Zechen Xia, Chenliang Li:
Modulus-based matrix splitting iteration methods for a class of nonlinear complementarity problem. Appl. Math. Comput. 271: 34-42 (2015) - [j6]Chenliang Li, Aixin Sun, Jianshu Weng, Qi He:
Tweet Segmentation and Its Application to Named Entity Recognition. IEEE Trans. Knowl. Data Eng. 27(2): 558-570 (2015) - 2014
- [j5]Cuiyu Liu, Chenliang Li:
A Preconditioned Multisplitting and Schwarz Method for Linear Complementarity Problem. J. Appl. Math. 2014: 519017:1-519017:6 (2014) - [c6]Chenliang Li, Aixin Sun:
Fine-grained location extraction from tweets with temporal awareness. SIGIR 2014: 43-52 - 2013
- [j4]Chenliang Li, Jingwen Zou:
A sixth-order fast algorithm for the electromagnetic scattering from large open cavities. Appl. Math. Comput. 219(16): 8656-8666 (2013) - [j3]Chenliang Li, Aixin Sun, Anwitaman Datta:
TSDW: Two-stage word sense disambiguation using Wikipedia. J. Assoc. Inf. Sci. Technol. 64(6): 1203-1223 (2013) - [c5]Chenliang Li, Aixin Sun, Jianshu Weng, Qi He:
Exploiting hybrid contexts for Tweet segmentation. SIGIR 2013: 523-532 - 2012
- [j2]Chenliang Li, Zhonghua Qiao:
A Fast Preconditioned Iterative Algorithm for the Electromagnetic Scattering from a Large Cavity. J. Sci. Comput. 53(2): 435-450 (2012) - [j1]Chenliang Li, Anwitaman Datta, Aixin Sun:
Mining latent relations in peer-production environments: a case study with Wikipedia article similarity and controversy. Soc. Netw. Anal. Min. 2(3): 265-278 (2012) - [c4]Chenliang Li, Aixin Sun, Anwitaman Datta:
Twevent: segment-based event detection from tweets. CIKM 2012: 155-164 - [c3]Chenliang Li, Jianshu Weng, Qi He, Yuxia Yao, Anwitaman Datta, Aixin Sun, Bu-Sung Lee:
TwiNER: named entity recognition in targeted twitter stream. SIGIR 2012: 721-730 - 2011
- [c2]Chenliang Li, Aixin Sun, Anwitaman Datta:
A Generalized Method for Word Sense Disambiguation Based on Wikipedia. ECIR 2011: 653-664 - [c1]Chenliang Li, Anwitaman Datta, Aixin Sun:
Semantic tag recommendation using concept model. SIGIR 2011: 1159-1160
Coauthor Index