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2020 – today
- 2023
[j51]Xiaofei Zhu, Gu Tang, Pengfei Wang, Chenliang Li, Jiafeng Guo, Stefan Dietze:
Dynamic global structure enhanced multi-channel graph neural network for session-based recommendation. Inf. Sci. 624: 324-343 (2023)- [j50]Yaqiong Qiao, Xiangyang Luo, Jiangtao Ma, Meng Zhang, Chenliang Li:
Twitter user geolocation based on heterogeneous relationship modeling and representation learning. Inf. Sci. 647: 119427 (2023) - [j49]Cong Guo, Yingling Liu, Chenliang Li:
A Class of Smoothing Modulus-Based Iterative Methods for Solving the Stochastic Mixed Complementarity Problems. Symmetry 15(1): 229 (2023) - [j48]Hao Fei
, Tat-Seng Chua, Chenliang Li, Donghong Ji, Meishan Zhang, Yafeng Ren:
On the Robustness of Aspect-based Sentiment Analysis: Rethinking Model, Data, and Training. ACM Trans. Inf. Syst. 41(2): 50:1-50:32 (2023) - [j47]Yitong Ji, Aixin Sun, Jie Zhang, Chenliang Li:
A Critical Study on Data Leakage in Recommender System Offline Evaluation. ACM Trans. Inf. Syst. 41(3): 75:1-75:27 (2023) - [j46]Ming Yan, Haiyang Xu, Chenliang Li, Junfeng Tian, Bin Bi, Wei Wang, Xianzhe Xu, Ji Zhang, Songfang Huang, Fei Huang, Luo Si, Rong Jin:
Achieving Human Parity on Visual Question Answering. ACM Trans. Inf. Syst. 41(3): 79:1-79:40 (2023) - [c91]Qizhi Wan, Changxuan Wan, Keli Xiao, Dexi Liu, Chenliang Li, Bolong Zheng, Xiping Liu, Rong Hu:
Joint Document-Level Event Extraction via Token-Token Bidirectional Event Completed Graph. ACL (1) 2023: 10481-10492 - [c90]Xu Yang, Jiawei Peng, Zihua Wang, Haiyang Xu, Qinghao Ye, Chenliang Li, Songfang Huang, Fei Huang, Zhangzikang Li, Yu Zhang:
Transforming Visual Scene Graphs to Image Captions. ACL (1) 2023: 12427-12440 - [c89]Bulou Liu, Yiran Hu, Yueyue Wu, Yiqun Liu, Fan Zhang, Chenliang Li, Min Zhang, Shaoping Ma, Weixing Shen:
Investigating Conversational Agent Action in Legal Case Retrieval. ECIR (1) 2023: 622-635 - [c88]Jing Li, Aixin Sun, Jianglei Han, Chenliang Li:
A Survey on Deep Learning for Named Entity Recognition : Extended Abstract. ICDE 2023: 3817-3818 - [c87]Haiyang Xu, Qinghao Ye, Ming Yan, Yaya Shi, Jiabo Ye, Yuanhong Xu, Chenliang Li, Bin Bi, Qi Qian, Wei Wang, Guohai Xu, Ji Zhang, Songfang Huang, Fei Huang, Jingren Zhou:
mPLUG-2: A Modularized Multi-modal Foundation Model Across Text, Image and Video. ICML 2023: 38728-38748 - [c86]Yanling Wang, Yuchen Liu, Qian Wang, Cong Wang, Chenliang Li:
Poisoning Self-supervised Learning Based Sequential Recommendations. SIGIR 2023: 300-310 - [c85]Zuoli Tang, Lin Wang, Lixin Zou, Xiaolu Zhang, Jun Zhou, Chenliang Li:
Towards Multi-Interest Pre-training with Sparse Capsule Network. SIGIR 2023: 311-320 - [c84]Yu Tian, Bofang Li, Si Chen, Xubin Li, Hongbo Deng, Jian Xu, Bo Zheng, Qian Wang, Chenliang Li:
Multi-Scenario Ranking with Adaptive Feature Learning. SIGIR 2023: 517-526 - [c83]Hongyu Shan, Qishen Zhang, Zhongyi Liu, Guannan Zhang, Chenliang Li:
Beyond Two-Tower: Attribute Guided Representation Learning for Candidate Retrieval. WWW 2023: 3173-3181 - [i57]Xu Yang, Zhangzikang Li, Haiyang Xu, Hanwang Zhang, Qinghao Ye, Chenliang Li, Ming Yan, Yu Zhang, Fei Huang, Songfang Huang:
Learning Trajectory-Word Alignments for Video-Language Tasks. CoRR abs/2301.01953 (2023) - [i56]Zihua Wang, Xu Yang, Haiyang Xu, Hanwang Zhang, Chenliang Li, Songfang Huang, Fei Huang, Yu Zhang:
Adaptively Clustering Neighbor Elements for Image Captioning. CoRR abs/2301.01955 (2023) - [i55]Haiyang Xu, Qinghao Ye, Ming Yan, Yaya Shi, Jiabo Ye, Yuanhong Xu, Chenliang Li, Bin Bi, Qi Qian, Wei Wang, Guohai Xu, Ji Zhang, Songfang Huang, Fei Huang, Jingren Zhou:
mPLUG-2: A Modularized Multi-modal Foundation Model Across Text, Image and Video. CoRR abs/2302.00402 (2023) - [i54]Siliang Zeng, Chenliang Li, Alfredo Garcia, Mingyi Hong:
Understanding Expertise through Demonstrations: A Maximum Likelihood Framework for Offline Inverse Reinforcement Learning. CoRR abs/2302.07457 (2023) - [i53]Zihao Li, Aixin Sun, Chenliang Li:
DiffuRec: A Diffusion Model for Sequential Recommendation. CoRR abs/2304.00686 (2023) - [i52]Junfeng Tian, Hehong Chen, Guohai Xu, Ming Yan, Xing Gao, Jianhai Zhang, Chenliang Li, Jiayi Liu, Wenshen Xu, Haiyang Xu, Qi Qian, Wei Wang, Qinghao Ye, Jiejing Zhang, Ji Zhang, Fei Huang, Jingren Zhou:
ChatPLUG: Open-Domain Generative Dialogue System with Internet-Augmented Instruction Tuning for Digital Human. CoRR abs/2304.07849 (2023) - [i51]Hao Fei, Tat-Seng Chua, Chenliang Li, Donghong Ji, Meishan Zhang, Yafeng Ren:
On the Robustness of Aspect-based Sentiment Analysis: Rethinking Model, Data, and Training. CoRR abs/2304.09563 (2023) - [i50]Qinghao Ye, Haiyang Xu, Guohai Xu, Jiabo Ye, Ming Yan, Yiyang Zhou, Junyang Wang, Anwen Hu, Pengcheng Shi, Yaya Shi, Chenliang Li, Yuanhong Xu, Hehong Chen, Junfeng Tian, Qian Qi, Ji Zhang, Fei Huang:
mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality. CoRR abs/2304.14178 (2023) - [i49]Xu Yang, Jiawei Peng, Zihua Wang, Haiyang Xu, Qinghao Ye, Chenliang Li, Ming Yan, Fei Huang, Zhangzikang Li, Yu Zhang:
Transforming Visual Scene Graphs to Image Captions. CoRR abs/2305.02177 (2023) - [i48]Dan Luo, Lixin Zou, Qingyao Ai, Zhiyu Chen, Chenliang Li, Dawei Yin, Brian D. Davison:
Unconfounded Propensity Estimation for Unbiased Ranking. CoRR abs/2305.09918 (2023) - [i47]Haiyang Xu, Qinghao Ye, Xuan Wu, Ming Yan, Yuan Miao, Jiabo Ye, Guohai Xu, Anwen Hu, Yaya Shi, Guangwei Xu, Chenliang Li, Qi Qian, Maofei Que, Ji Zhang, Xiao Zeng, Fei Huang:
Youku-mPLUG: A 10 Million Large-scale Chinese Video-Language Dataset for Pre-training and Benchmarks. CoRR abs/2306.04362 (2023) - [i46]Cong Guo, Chenliang Li, Tao Luo:
A Class of Smoothing Modulus-Based Iterative Method for Solving Implicit Complementarity Problems. CoRR abs/2306.04999 (2023) - [i45]Yu Tian, Bofang Li, Si Chen, Xubin Li, Hongbo Deng, Jian Xu, Bo Zheng, Qian Wang, Chenliang Li:
Multi-Scenario Ranking with Adaptive Feature Learning. CoRR abs/2306.16732 (2023) - [i44]Jiabo Ye, Anwen Hu, Haiyang Xu, Qinghao Ye, Ming Yan, Yuhao Dan, Chenlin Zhao, Guohai Xu, Chenliang Li, Junfeng Tian, Qian Qi, Ji Zhang, Fei Huang:
mPLUG-DocOwl: Modularized Multimodal Large Language Model for Document Understanding. CoRR abs/2307.02499 (2023) - [i43]Chaoya Jiang, Haiyang Xu, Wei Ye, Qinghao Ye, Chenliang Li, Ming Yan, Bin Bi, Shikun Zhang, Fei Huang, Songfang Huang:
BUS: Efficient and Effective Vision-language Pre-training with Bottom-Up Patch Summarization. CoRR abs/2307.08504 (2023) - [i42]Qingyao Ai, Ting Bai, Zhao Cao, Yi Chang, Jiawei Chen, Zhumin Chen, Zhiyong Cheng, Shoubin Dong, Zhicheng Dou, Fuli Feng, Shen Gao, Jiafeng Guo, Xiangnan He, Yanyan Lan, Chenliang Li, Yiqun Liu, Ziyu Lyu, Weizhi Ma, Jun Ma, Zhaochun Ren, Pengjie Ren, Zhiqiang Wang, Mingwen Wang, Ji-Rong Wen, Le Wu, Xin Xin, Jun Xu, Dawei Yin, Peng Zhang, Fan Zhang, Weinan Zhang, Min Zhang, Xiaofei Zhu:
Information Retrieval Meets Large Language Models: A Strategic Report from Chinese IR Community. CoRR abs/2307.09751 (2023) - [i41]Chaoya Jiang, Haiyang Xu, Wei Ye, Qinghao Ye, Chenliang Li, Ming Yan, Bin Bi, Shikun Zhang, Ji Zhang, Fei Huang:
COPA: Efficient Vision-Language Pre-training Through Collaborative Object- and Patch-Text Alignment. CoRR abs/2308.03475 (2023) - [i40]Chenliang Li, Hehong Chen, Ming Yan, Weizhou Shen, Haiyang Xu, Zhikai Wu, Zhicheng Zhang, Wenmeng Zhou, Yingda Chen, Chen Cheng, Hongzhu Shi, Ji Zhang, Fei Huang, Jingren Zhou:
ModelScope-Agent: Building Your Customizable Agent System with Open-source Large Language Models. CoRR abs/2309.00986 (2023) - [i39]Ran Wei, Siliang Zeng, Chenliang Li, Alfredo Garcia, Anthony D. McDonald, Mingyi Hong:
A Bayesian Approach to Robust Inverse Reinforcement Learning. CoRR abs/2309.08571 (2023) - 2022
- [j45]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) - [j44]Xiaobing Yu, Wenguan Luo, Wangying Xu, Chenliang Li:
Constrained multi-objective differential evolution algorithm with ranking mutation operator. Expert Syst. Appl. 208: 118055 (2022) - [j43]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) - [j42]Jiangtao Ma, Duanyang Li, Haodong Zhu, Chenliang Li, Qiuwen Zhang, Yaqiong Qiao:
GAFM: A Knowledge Graph Completion Method Based on Graph Attention Faded Mechanism. Inf. Process. Manag. 59(5): 103004 (2022) - [j41]Bulou Liu, Yueyue Wu, Fan Zhang, Yiqun Liu, Zhihong Wang, Chenliang Li, Min Zhang, Shaoping Ma:
Query Generation and Buffer Mechanism: Towards a better conversational agent for legal case retrieval. Inf. Process. Manag. 59(5): 103051 (2022) - [j40]Yan Wang, Chenliang Li:
A modulus-based cascadic multigrid method for elliptic variational inequality problems. Numer. Algorithms 90(4): 1777-1791 (2022) - [j39]Ming Dong, Bolong Zheng, Guohui Li, Chenliang Li, Kai Zheng, Xiaofang Zhou:
Wavefront-Based Multiple Rumor Sources Identification by Multi-Task Learning. IEEE Trans. Emerg. Top. Comput. Intell. 6(5): 1068-1078 (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) - [c82]Rui Zhu, Yiming Zhao, Wei Qu, Zhongyi Liu, Chenliang Li:
Cross-Domain Product Search with Knowledge Graph. CIKM 2022: 3746-3755 - [c81]Guipeng Xv, Xinyi Liu, Chen Lin, Hui Li, Chenliang Li, Zhenhua Huang:
Lightweight Unbiased Multi-teacher Ensemble for Review-based Recommendation. CIKM 2022: 4620-4624 - [c80]Yan Li, Chenliang Li, Junjun Guo:
Adaptive Feature Discrimination and Denoising for Asymmetric Text Matching. COLING 2022: 1146-1156 - [c79]Chaoya Jiang, Haiyang Xu, Chenliang Li, Ming Yan, Wei Ye, Shikun Zhang, Bin Bi, Songfang Huang:
TRIPS: Efficient Vision-and-Language Pre-training with Text-Relevant Image Patch Selection. EMNLP 2022: 4084-4096 - [c78]Chenliang Li, Haiyang Xu, Junfeng Tian, Wei Wang, Ming Yan, Bin Bi, Jiabo Ye, He 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. EMNLP 2022: 7241-7259 - [c77]Yitong Ji, Aixin Sun, Jie Zhang, Chenliang Li:
Do Loyal Users Enjoy Better Recommendations?: Understanding Recommender Accuracy from a Time Perspective. ICTIR 2022: 92-97 - [c76]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 - [c75]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 - [c74]Yuhao Yang, Chao Huang, Lianghao Xia, Yuxuan Liang, Yanwei Yu, Chenliang Li:
Multi-Behavior Hypergraph-Enhanced Transformer for Sequential Recommendation. KDD 2022: 2263-2274 - [c73]Siliang Zeng, Chenliang Li, Alfredo Garcia, Mingyi Hong:
Maximum-Likelihood Inverse Reinforcement Learning with Finite-Time Guarantees. NeurIPS 2022 - [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]