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2020 – today
- 2022
[j41]Chenliang Li, Xiaobing Yu:
Consensus reaching model for counter-intuitive in D-S evidence theory and application under 2-tuple linguistic representation. Eng. Appl. Artif. Intell. 112: 104832 (2022)- [j40]Xiaokun Zhang, Hongfei Lin, Bo Xu, Chenliang Li
, Yuan Lin, Haifeng Liu, Fenglong Ma:
Dynamic intent-aware iterative denoising network for session-based recommendation. Inf. Process. Manag. 59(3): 102936 (2022) - [j39]Yan Wang, Chenliang Li:
A modulus-based cascadic multigrid method for elliptic variational inequality problems. Numer. Algorithms 90(4): 1777-1791 (2022) - [j38]Jing Li, Aixin Sun, Jianglei Han, Chenliang Li:
A Survey on Deep Learning for Named Entity Recognition. IEEE Trans. Knowl. Data Eng. 34(1): 50-70 (2022) - [c74]Hao Fei, Jingye Li, Shengqiong Wu, Chenliang Li, Donghong Ji, Fei Li:
Global Inference with Explicit Syntactic and Discourse Structures for Dialogue-Level Relation Extraction. IJCAI 2022: 4107-4113 - [c73]Hao Fei, Fei Li, Chenliang Li, Shengqiong Wu, Jingye Li, Donghong Ji:
Inheriting the Wisdom of Predecessors: A Multiplex Cascade Framework for Unified Aspect-based Sentiment Analysis. IJCAI 2022: 4121-4128 - [c72]Zhihong Chen, Jiawei Wu, Chenliang Li, Jingxu Chen, Rong Xiao, Binqiang Zhao:
Co-training Disentangled Domain Adaptation Network for Leveraging Popularity Bias in Recommenders. SIGIR 2022: 60-69 - [c71]Zheng Chai, Zhihong Chen, Chenliang Li, Rong Xiao, Houyi Li, Jiawei Wu, Jingxu Chen, Haihong Tang:
User-Aware Multi-Interest Learning for Candidate Matching in Recommenders. SIGIR 2022: 1326-1335 - [c70]Yuhao Yang, Chao Huang, Lianghao Xia, Chenliang Li:
Knowledge Graph Contrastive Learning for Recommendation. SIGIR 2022: 1434-1443 - [c69]Xinyu Zou, Zhi Hu, Yiming Zhao, Xuchu Ding, Zhongyi Liu, Chenliang Li, Aixin Sun:
Automatic Expert Selection for Multi-Scenario and Multi-Task Search. SIGIR 2022: 1535-1544 - [c68]Hao Fei, Chenliang Li, Donghong Ji, Fei Li:
Mutual Disentanglement Learning for Joint Fine-Grained Sentiment Classification and Controllable Text Generation. SIGIR 2022: 1555-1565 - [c67]Kaiyuan Li, Pengfei Wang, Chenliang Li:
Multi-Agent RL-based Information Selection Model for Sequential Recommendation. SIGIR 2022: 1622-1631 - [c66]Yu Tian, Jianxin Chang, Yanan Niu, Yang Song, Chenliang Li:
When Multi-Level Meets Multi-Interest: A Multi-Grained Neural Model for Sequential Recommendation. SIGIR 2022: 1632-1641 - [c65]Siqi Lai, Erli Meng, Fan Zhang, Chenliang Li, Bin Wang, Aixin Sun:
An Attribute-Driven Mirror Graph Network for Session-based Recommendation. SIGIR 2022: 1674-1683 - [c64]Xiaokun Zhang, Bo Xu, Liang Yang, Chenliang Li, Fenglong Ma, Haifeng Liu, Hongfei Lin:
Price DOES Matter!: Modeling Price and Interest Preferences in Session-based Recommendation. SIGIR 2022: 1684-1693 - [c63]Chuhan Wu, Fangzhao Wu, Tao Qi, Chenliang Li, Yongfeng Huang:
Is News Recommendation a Sequential Recommendation Task? SIGIR 2022: 2382-2386 - [c62]Teng-Yue Han, Pengfei Wang, Shaozhang Niu, Chenliang Li:
Modality Matches Modality: Pretraining Modality-Disentangled Item Representations for Recommendation. WWW 2022: 2058-2066 - [i38]Yitong Ji, Aixin Sun, Jie Zhang, Chenliang Li:
Recommender May Not Favor Loyal Users. CoRR abs/2204.05927 (2022) - [i37]Yuhao Yang, Chao Huang, Lianghao Xia, Chenliang Li:
Knowledge Graph Contrastive Learning for Recommendation. CoRR abs/2205.00976 (2022) - [i36]Yu Tian, Jianxin Chang, Yanan Niu, Yang Song, Chenliang Li:
When Multi-Level Meets Multi-Interest: A Multi-Grained Neural Model for Sequential Recommendation. CoRR abs/2205.01286 (2022) - [i35]Xiaokun Zhang, Bo Xu, Liang Yang, Chenliang Li, Fenglong Ma, Haifeng Liu, Hongfei Lin:
Price DOES Matter! Modeling Price and Interest Preferences in Session-based Recommendation. CoRR abs/2205.04181 (2022) - [i34]Chenliang Li, Haiyang Xu, Junfeng Tian, Wei Wang, Ming Yan, Bin Bi, Jiabo Ye, Hehong Chen, Guohai Xu, Zheng Cao, Ji Zhang, Songfang Huang, Fei Huang, Jingren Zhou, Luo Si:
mPLUG: Effective and Efficient Vision-Language Learning by Cross-modal Skip-connections. CoRR abs/2205.12005 (2022) - [i33]Xinyu Zou, Zhi Hu, Yiming Zhao, Xuchu Ding, Zhongyi Liu, Chenliang Li, Aixin Sun:
Automatic Expert Selection for Multi-Scenario and Multi-Task Search. CoRR abs/2205.14321 (2022) - [i32]Zitao Song, Xuyang Jin, Chenliang Li:
Safe-FinRL: A Low Bias and Variance Deep Reinforcement Learning Implementation for High-Freq Stock Trading. CoRR abs/2206.05910 (2022) - [i31]Chuwei Luo, Guozhi Tang, Qi Zheng, Cong Yao, Lianwen Jin, Chenliang Li, Yang Xue, Luo Si:
Bi-VLDoc: Bidirectional Vision-Language Modeling for Visually-Rich Document Understanding. CoRR abs/2206.13155 (2022) - [i30]Yuhao Yang, Chao Huang, Lianghao Xia, Yuxuan Liang, Yanwei Yu, Chenliang Li:
Multi-Behavior Hypergraph-Enhanced Transformer for Sequential Recommendation. CoRR abs/2207.05584 (2022) - 2021
- [j37]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) - [j36]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) - [j35]Lu Li, Chenliang Li, Donghong Ji:
Deep context modeling for multi-turn response selection in dialogue systems. Inf. Process. Manag. 58(1): 102415 (2021) - [j34]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) - [j33]Chenliang Li, Xiaobing Yu, Wen-Xuan Zhao:
An integrated approach to site selection for a big data center using PROMETHEE-MCGP methodology. J. Intell. Fuzzy Syst. 41(6): 6495-6515 (2021) - [j32]Xiaobing Yu, Xuejing Wu, Hong Chen, Xuming Wang, Chenliang Li, Zhonghui Ji:
A TODIM-based approach for the assessment of social vulnerability in Jiangsu province from 2012 to 2017. J. Intell. Fuzzy Syst. 41(6): 7457-7471 (2021) - [j31]Xiaobing Yu, WangYing Xu, Chenliang Li:
Opposition-based learning grey wolf optimizer for global optimization. Knowl. Based Syst. 226: 107139 (2021) - [c61]Ming Yan, Chenliang Li, Bin Bi, Wei Wang, Songfang Huang:
A Unified Pretraining Framework for Passage Ranking and Expansion. AAAI 2021: 4555-4563 - [c60]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 - [c59]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 - [c58]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 - [c57]Yiyu Liu, Qian Liu, Yu Tian, Changping Wang, Yanan Niu, Yang Song, Chenliang Li:
Concept-Aware Denoising Graph Neural Network for Micro-Video Recommendation. CIKM 2021: 1099-1108 - [c56]Zhong Yang, Bolong Zheng, Chengdong Tong, Lianggui Weng, Chenliang Li, Guohui Li:
HASTE: A Distributed System for Hybrid and Adaptive Processing on Streaming Spatial-Textual Data. CIKM 2021: 2363-2372 - [c55]Yangxiao Xiang, Chenliang Li:
A Trigger-Aware Multi-task Learning for Chinese Event Entity Recognition. CCL 2021: 341-354 - [c54]Xiaohai Tong, Pengfei Wang, Chenliang Li, Long Xia, Shaozhang Niu:
Pattern-enhanced Contrastive Policy Learning Network for Sequential Recommendation. IJCAI 2021: 1593-1599 - [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 - [i29]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) - [i28]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) - [i27]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) - [i26]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) - [i25]Ming Yan, Haiyang Xu, Chenliang Li, Bin Bi, Junfeng Tian, Min Gui, Wei Wang:
Grid-VLP: Revisiting Grid Features for Vision-Language Pre-training. CoRR abs/2108.09479 (2021) - [i24]Yiyu Liu, Qian Liu, Yu Tian, Changping Wang, Yanan Niu, Yang Song, Chenliang Li:
Concept-Aware Denoising Graph Neural Network for Micro-Video Recommendation. CoRR abs/2109.13527 (2021) - [i23]Ming Yan, Haiyang Xu, Chenliang Li, Junfeng Tian, Bin Bi, Wei Wang, Weihua Chen, Xianzhe Xu, Fan Wang, Zheng Cao, Zhicheng Zhang, Qiyu Zhang, Ji Zhang, Songfang Huang, Fei Huang, Luo Si, Rong Jin:
Achieving Human Parity on Visual Question Answering. CoRR abs/2111.08896 (2021) - 2020
- [j30]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) - [j29]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) - [j28]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) - [j27]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) - [j26]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) - [j25]Xiangyang Luo, Yaqiong Qiao, Chenliang Li, Jiangtao Ma, Yimin Liu:
An overview of microblog user geolocation methods. Inf. Process. Manag. 57(6): 102375 (2020) - [j24]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) - [j23]Wei Emma Zhang, Quan Z. Sheng, Ahoud 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) - [j22]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) - [j21]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
- [j20]Chenliang Li, Shiqian Chen, Yan Qi:
Filtering and Classifying Relevant Short Text with a Few Seed Words. Data Inf. Manag. 3(3): 165-186 (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]