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2020 – today
- 2025
[j66]Min Tang, Shujie Cui
, Zhe Jin, Shiuan-Ni Liang, Chenliang Li, Lixin Zou:
Sequential recommendation by reprogramming pretrained transformer. Inf. Process. Manag. 62(1): 103938 (2025)- [c118]Yunfan Xie, Lixin Zou, Dan Luo, Min Tang, Chenliang Li, Liming Dong, Xiangyang Luo:
Mitigating Language Confusion through Inference-time Intervention. COLING 2025: 8418-8431 - [c117]Weicheng Li, Lixin Zou, Min Tang, Qing Yu, Wanli Li, Chenliang Li:
META-LORA: Memory-Efficient Sample Reweighting for Fine-Tuning Large Language Models. COLING 2025: 8504-8517 - [d1]Xuan Ma, Zepeng Bao, Ming Zhong, Yuanyuan Zhu, Chenliang Li, Jiawei Jiang, Qing Li, Tieyun Qian:
Data4RACTC. IEEE DataPort, 2025
- [i79]Xuenan Xu, Jiahao Mei, Chenliang Li, Yuning Wu, Ming Yan, Shaopeng Lai, Ji Zhang, Mengyue Wu:
MM-StoryAgent: Immersive Narrated Storybook Video Generation with a Multi-Agent Paradigm across Text, Image and Audio. CoRR abs/2503.05242 (2025) - [i78]Yuning Wu, Jiahao Mei, Ming Yan, Chenliang Li, Shaopeng Lai, Yuran Ren, Zijia Wang, Ji Zhang, Mengyue Wu, Qin Jin, Fei Huang:
WritingBench: A Comprehensive Benchmark for Generative Writing. CoRR abs/2503.05244 (2025) - [i77]Ruijia Zhang, Siliang Zeng, Chenliang Li, Alfredo García, Mingyi Hong:
Understanding Inverse Reinforcement Learning under Overparameterization: Non-Asymptotic Analysis and Global Optimality. CoRR abs/2503.17865 (2025) - 2024
- [j65]Jiangtao Ma, Bo Liu, Kunlin Li, Chenliang Li, Fan Zhang, Xiangyang Luo, Yaqiong Qiao:
A review of graph neural networks and pretrained language models for knowledge graph reasoning. Neurocomputing 609: 128490 (2024) - [j64]Zihao Li, Yunfan Xie, Wei Emma Zhang, Pengfei Wang, Lixin Zou, Fei Li, Xiangyang Luo, Chenliang Li:
Disentangle interest trend and diversity for sequential recommendation. Inf. Process. Manag. 61(2): 103619 (2024) - [j63]Leiyang Chen, Ying Xi, Liang Dong, Manjun Zhao, Chenliang Li, Xiao Liu, Xiaohui Cui:
Identifying influential nodes in complex networks via Transformer. Inf. Process. Manag. 61(5): 103775 (2024) - [j62]Jiangtao Ma, Kunlin Li, Fan Zhang, Yanjun Wang, Xiangyang Luo, Chenliang Li, Yaqiong Qiao:
TaReT: Temporal knowledge graph reasoning based on topology-aware dynamic relation graph and temporal fusion. Inf. Process. Manag. 61(6): 103848 (2024) - [j61]Jiangtao Ma, Kunlin Li, Fan Zhang, Yanjun Wang, Xiangyang Luo, Chenliang Li, Yaqiong Qiao:
BGAT-CCRF: A novel end-to-end model for knowledge graph noise correction. Neural Networks 180: 106715 (2024) - [j60]Yuhan Chen, Chenliang Li:
A Tensor Multigrid Method for Solving Sylvester Tensor Equations. IEEE Trans Autom. Sci. Eng. 21(3): 4397-4405 (2024) - [j59]Xiaokun Zhang, Bo Xu, Fenglong Ma, Chenliang Li, Liang Yang, Hongfei Lin:
Beyond Co-Occurrence: Multi-Modal Session-Based Recommendation. IEEE Trans. Knowl. Data Eng. 36(4): 1450-1462 (2024) - [j58]Zihao Li, Aixin Sun, Chenliang Li:
DiffuRec: A Diffusion Model for Sequential Recommendation. ACM Trans. Inf. Syst. 42(3): 66:1-66:28 (2024) - [j57]Xiaokun Zhang, Bo Xu, Fenglong Ma, Chenliang Li, Yuan Lin, Hongfei Lin:
Bi-preference Learning Heterogeneous Hypergraph Networks for Session-based Recommendation. ACM Trans. Inf. Syst. 42(3): 68:1-68:28 (2024) - [j56]Zhidan Wang, Lixin Zou, Chenliang Li, Shuaiqiang Wang, Xu Chen, Dawei Yin, Weidong Liu:
Toward Bias-Agnostic Recommender Systems: A Universal Generative Framework. ACM Trans. Inf. Syst. 42(6): 142:1-142:30 (2024) - [j55]Ke Sun, Chenliang Li, Tieyun Qian:
City Matters! A Dual-Target Cross-City Sequential POI Recommendation Model. ACM Trans. Inf. Syst. 42(6): 153:1-153:27 (2024) - [c116]Qizhi Wan, Changxuan Wan, Keli Xiao, Kun Lu, Chenliang Li, Xiping Liu, Dexi Liu:
Dependency Structure-Enhanced Graph Attention Networks for Event Detection. AAAI 2024: 19098-19106 - [c115]Hongzhan Chen, Hehong Chen, Ming Yan, Wenshen Xu, Gao Xing, Weizhou Shen, Xiaojun Quan, Chenliang Li, Ji Zhang, Fei Huang:
SocialBench: Sociality Evaluation of Role-Playing Conversational Agents. ACL (Findings) 2024: 2108-2126 - [c114]Chaoran Zhang, Lixin Zou, Dan Luo, Xiangyang Luo, Zihao Li, Min Tang, Chenliang Li:
Efficient Sparse Attention needs Adaptive Token Release. ACL (Findings) 2024: 14081-14094 - [c113]Zihao Li, Xuekong Xu, Zuoli Tang, Lixin Zou, Qian Wang, Chenliang Li:
Spectral and Geometric Spaces Representation Regularization for Multi-Modal Sequential Recommendation. CIKM 2024: 1336-1345 - [c112]Zuoli Tang, Zhaoxin Huan, Zihao Li, Shirui Hu, Xiaolu Zhang, Jun Zhou, Lixin Zou, Chenliang Li:
TEXT CAN BE FAIR: Mitigating Popularity Bias with PLMs by Learning Relative Preference. CIKM 2024: 2240-2249 - [c111]Haowei Liu, Yaya Shi, Haiyang Xu, Chunfeng Yuan, Qinghao Ye, Chenliang Li, Ming Yan, Ji Zhang, Fei Huang, Bing Li, Weiming Hu:
Semantics-enhanced Cross-modal Masked Image Modeling for Vision-Language Pre-training. LREC/COLING 2024: 14664-14675 - [c110]Haowei Liu, Yaya Shi, Haiyang Xu, Chunfeng Yuan, Qinghao Ye, Chenliang Li, Ming Yan, Ji Zhang, Fei Huang, Bing Li, Weiming Hu:
Unifying Latent and Lexicon Representations for Effective Video-Text Retrieval. LREC/COLING 2024: 17031-17041 - [c109]Weizhou Shen, Chenliang Li, Hongzhan Chen, Ming Yan, Xiaojun Quan, Hehong Chen, Ji Zhang, Fei Huang:
Small LLMs Are Weak Tool Learners: A Multi-LLM Agent. EMNLP 2024: 16658-16680 - [c108]Xiaokai Chu, Changying Hao, Shuaiqiang Wang, Dawei Yin, Jiashu Zhao, Lixin Zou, Chenliang Li:
LT2R: Learning to Online Learning to Rank for Web Search. ICDE 2024: 4733-4746 - [c107]Anwen Hu, Yaya Shi, Haiyang Xu, Jiabo Ye, Qinghao Ye, Ming Yan, Chenliang Li, Qi Qian, Ji Zhang, Fei Huang:
mPLUG-PaperOwl: Scientific Diagram Analysis with the Multimodal Large Language Model. ACM Multimedia 2024: 6929-6938 - [c106]Jiaxiang Li, Siliang Zeng, Hoi-To Wai, Chenliang Li, Alfredo García, Mingyi Hong:
Getting More Juice Out of the SFT Data: Reward Learning from Human Demonstration Improves SFT for LLM Alignment. NeurIPS 2024 - [c105]Zhaoxin Huan, Ke Ding, Ang Li, Xiaolu Zhang, Xu Min, Yong He, Liang Zhang, Jun Zhou, Linjian Mo, Jinjie Gu, Zhongyi Liu, Wenliang Zhong, Guannan Zhang, Chenliang Li, Fajie Yuan:
Exploring Multi-Scenario Multi-Modal CTR Prediction with a Large Scale Dataset. SIGIR 2024: 1232-1241 - [c104]Dan Luo, Lixin Zou, Qingyao Ai, Zhiyu Chen, Chenliang Li, Dawei Yin, Brian D. Davison:
Unbiased Learning-to-Rank Needs Unconfounded Propensity Estimation. SIGIR 2024: 1535-1545 - [c103]Zhichao Feng, Pengfei Wang, Kaiyuan Li, Chenliang Li, Shangguang Wang:
Contextual MAB Oriented Embedding Denoising for Sequential Recommendation. WSDM 2024: 199-207 - [c102]Yihua Wen, Si Chen, Yu Tian, Wanxian Guan, Pengjie Wang, Hongbo Deng, Jian Xu, Bo Zheng, Zihao Li, Lixin Zou, Chenliang Li:
Unified Visual Preference Learning for User Intent Understanding. WSDM 2024: 816-825 - [i76]Weizhou Shen, Chenliang Li, Hongzhan Chen, Ming Yan, Xiaojun Quan, Hehong Chen, Ji Zhang, Fei Huang:
Small LLMs Are Weak Tool Learners: A Multi-LLM Agent. CoRR abs/2401.07324 (2024) - [i75]Haowei Liu, Yaya Shi, Haiyang Xu, Chunfeng Yuan, Qinghao Ye, Chenliang Li, Ming Yan, Ji Zhang, Fei Huang, Bing Li, Weiming Hu:
Unifying Latent and Lexicon Representations for Effective Video-Text Retrieval. CoRR abs/2402.16769 (2024) - [i74]Xiaokun Zhang, Bo Xu, Chenliang Li, Yao Zhou, Liangyue Li, Hongfei Lin:
Side Information-Driven Session-based Recommendation: A Survey. CoRR abs/2402.17129 (2024) - [i73]Haowei Liu, Yaya Shi, Haiyang Xu, Chunfeng Yuan, Qinghao Ye, Chenliang Li, Ming Yan, Ji Zhang, Fei Huang, Bing Li, Weiming Hu:
Semantics-enhanced Cross-modal Masked Image Modeling for Vision-Language Pre-training. CoRR abs/2403.00249 (2024) - [i72]Wei Ye, Chaoya Jiang, Haiyang Xu, Chenhao Ye, Chenliang Li, Ming Yan, Shikun Zhang, Songhang Huang, Fei Huang:
Efficient Vision-and-Language Pre-training with Text-Relevant Image Patch Selection. CoRR abs/2403.07883 (2024) - [i71]Hongzhan Chen, Hehong Chen, Ming Yan, Wenshen Xu, Xing Gao, Weizhou Shen, Xiaojun Quan, Chenliang Li, Ji Zhang, Fei Huang, Jingren Zhou:
RoleInteract: Evaluating the Social Interaction of Role-Playing Agents. CoRR abs/2403.13679 (2024) - [i70]Jiaxiang Li, Siliang Zeng, Hoi-To Wai, Chenliang Li, Alfredo García, Mingyi Hong:
Getting More Juice Out of the SFT Data: Reward Learning from Human Demonstration Improves SFT for LLM Alignment. CoRR abs/2405.17888 (2024) - [i69]Chenliang Li, Siliang Zeng, Zeyi Liao, Jiaxiang Li, Dongyeop Kang, Alfredo García, Mingyi Hong:
Joint Demonstration and Preference Learning Improves Policy Alignment with Human Feedback. CoRR abs/2406.06874 (2024) - [i68]Chaoran Zhang, Lixin Zou, Dan Luo, Min Tang, Xiangyang Luo, Zihao Li, Chenliang Li:
Efficient Sparse Attention needs Adaptive Token Release. CoRR abs/2407.02328 (2024) - [i67]Tianyuan Shi, Fanqi Wan, Canbin Huang, Xiaojun Quan, Chenliang Li, Ming Yan, Ji Zhang:
ProFuser: Progressive Fusion of Large Language Models. CoRR abs/2408.04998 (2024) - [i66]Xuan Ma, Zepeng Bao, Ming Zhong, Yuanyuan Zhu, Chenliang Li, Jiawei Jiang, Qing Li, Tieyun Qian:
Origin-Destination Demand Prediction: An Urban Radiation and Attraction Perspective. CoRR abs/2412.00167 (2024) - 2023
- [j54]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. AI Open 4: 80-90 (2023) - [j53]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) - [j52]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) - [j51]Yuhan Chen, Chenliang Li:
Preconditioned tensor format conjugate gradient squared and biconjugate gradient stabilized methods for solving stein tensor equations. Numer. Linear Algebra Appl. 30(5) (2023) - [j50]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) - [j49]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) - [j48]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) - [j47]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) - [j46]Ke Sun, Tieyun Qian, Chenliang Li, Xuan Ma, Qing Li, Ming Zhong, Yuanyuan Zhu, Mengchi Liu:
Pre-Training Across Different Cities for Next POI Recommendation. ACM Trans. Web 17(4): 31:1-31:27 (2023) - [c101]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 - [c100]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 - [c99]Bulou Liu, Yiran Hu, Qingyao Ai, Yiqun Liu, Yueyue Wu, Chenliang Li, Weixing Shen:
Leveraging Event Schema to Ask Clarifying Questions for Conversational Legal Case Retrieval. CIKM 2023: 1513-1522 - [c98]Pengfei Wang, Chenliang Li, Lixin Zou, Zhichao Feng, Kaiyuan Li, Xiaochen Li, Xialong Liu, Shangguang Wang:
Tutorial: Data Denoising Metrics in Recommender Systems. CIKM 2023: 5224-5227 - [c97]Ran Wei, Siliang Zeng, Chenliang Li, Alfredo García, Anthony D. McDonald, Mingyi Hong:
A Bayesian Approach to Robust Inverse Reinforcement Learning. CoRL 2023: 2304-2322 - [c96]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 - [c95]Chenliang Li, He 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. EMNLP (Demos) 2023: 566-578 - [c94]Jiabo Ye, Anwen Hu, Haiyang Xu, Qinghao Ye, Ming Yan, Guohai Xu, Chenliang Li, Junfeng Tian, Qi Qian, Ji Zhang, Qin Jin, Liang He, Xin Lin, Fei Huang:
UReader: Universal OCR-free Visually-situated Language Understanding with Multimodal Large Language Model. EMNLP (Findings) 2023: 2841-2858 - [c93]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. ICCV 2023: 2504-2514 - [c92]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. ICCV 2023: 2888-2898 - [c91]Jing Li, Aixin Sun, Jianglei Han, Chenliang Li:
A Survey on Deep Learning for Named Entity Recognition : Extended Abstract. ICDE 2023: 3817-3818 - [c90]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 - [c89]Chaoya Jiang, Haiyang Xu, Wei Ye, Qinghao Ye, Chenliang Li, Ming Yan, Bin Bi, Shikun Zhang, Fei Huang, Ji Zhang:
COPA : Efficient Vision-Language Pre-training through Collaborative Object- and Patch-Text Alignment. ACM Multimedia 2023: 4480-4491 - [c88]Siliang Zeng, Chenliang Li, Alfredo García, Mingyi Hong:
When Demonstrations meet Generative World Models: A Maximum Likelihood Framework for Offline Inverse Reinforcement Learning. NeurIPS 2023 - [c87]Yanling Wang, Yuchen Liu, Qian Wang, Cong Wang, Chenliang Li:
Poisoning Self-supervised Learning Based Sequential Recommendations. SIGIR 2023: 300-310 - [c86]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 - [c85]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 - [c84]Bingqing Song, Zhicheng Zhou, Chenliang Li, Dongning Guo, Xiao Fu, Mingyi Hong:
Transformer Based Approach for Wireless Resource Allocation Problems Involving Mixed Discrete and Continuous Variables. SPAWC 2023: 636-640 - [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 - [i65]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) - [i64]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) - [i63]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) - [i62]Siliang Zeng, Chenliang Li, Alfredo García, Mingyi Hong:
Understanding Expertise through Demonstrations: A Maximum Likelihood Framework for Offline Inverse Reinforcement Learning. CoRR abs/2302.07457 (2023) - [i61]Zihao Li, Aixin Sun, Chenliang Li:
DiffuRec: A Diffusion Model for Sequential Recommendation. CoRR abs/2304.00686 (2023) - [i60]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) - [i59]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) - [i58]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) - [i57]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) - [i56]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) - [i55]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) - [i54]Cong Guo, Chenliang Li, Tao Luo:
A Class of Smoothing Modulus-Based Iterative Method for Solving Implicit Complementarity Problems. CoRR abs/2306.04999 (2023) - [i53]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) - [i52]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) - [i51]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) - [i50]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) - [i49]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) - [i48]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) - [i47]Ran Wei, Siliang Zeng, Chenliang Li, Alfredo García, Anthony D. McDonald, Mingyi Hong:
A Bayesian Approach to Robust Inverse Reinforcement Learning. CoRR abs/2309.08571 (2023) - [i46]Xiaokun Zhang, Bo Xu, Fenglong Ma, Chenliang Li, Liang Yang, Hongfei Lin:
Beyond Co-occurrence: Multi-modal Session-based Recommendation. CoRR abs/2309.17037 (2023) - [i45]Jiabo Ye, Anwen Hu, Haiyang Xu, Qinghao Ye, Ming Yan, Guohai Xu, Chenliang Li, Junfeng Tian, Qi Qian, Ji Zhang, Qin Jin, Liang He, Xin Alex Lin, Fei Huang:
UReader: Universal OCR-free Visually-situated Language Understanding with Multimodal Large Language Model. CoRR abs/2310.05126 (2023) - [i44]Zuoli Tang, Zhaoxin Huan, Zihao Li, Xiaolu Zhang, Jun Hu, Chilin Fu, Jun Zhou, Chenliang Li:
One Model for All: Large Language Models are Domain-Agnostic Recommendation Systems. CoRR abs/2310.14304 (2023) - [i43]You Zhou, Xiujing Lin, Xiang Zhang, Maolin Wang, Gangwei Jiang, Huakang Lu, Yupeng Wu, Kai Zhang, Zhe Yang, Kehang Wang, Yongduo Sui, Fengwei Jia, Zuoli Tang, Yao Zhao, Hongxuan Zhang, Tiannuo Yang, Weibo Chen, Yunong Mao, Yi Li, De Bao, Yu Li, Hongrui Liao, Ting Liu, Jingwen Liu, Jinchi Guo, Xiangyu Zhao, Ying Wei, Hong Qian, Qi Liu, Xiang Wang, Wai Kin Chan, Chenliang Li, Yusen Li, Shiyu Yang, Jining Yan, Chao Mou, Shuai Han, Wuxia Jin, Guannan Zhang, Xiaodong Zeng:
On the Opportunities of Green Computing: A Survey. CoRR abs/2311.00447 (2023) - [i42]Xiaokun Zhang, Bo Xu, Fenglong Ma, Chenliang Li, Yuan Lin, Hongfei Lin:
Bi-Preference Learning Heterogeneous Hypergraph Networks for Session-based Recommendation. CoRR abs/2311.01125 (2023) - [i41]Ziqi Yan, Chenliang Li, Yuhan Chen:
Cascadic Tensor Multigrid Method and Economic Cascadic Tensor Multigrid Method for Image Restoration Problems. CoRR abs/2311.01924 (2023) - [i40]Zhaoteng Chu, Ziqi Yan, Chenliang Li:
A New Extrapolation Economy Cascadic Multigrid Method for Image Restoration Problems. CoRR abs/2311.03010 (2023) - [i39]Anwen Hu, Yaya Shi, Haiyang Xu, Jiabo Ye, Qinghao Ye, Ming Yan, Chenliang Li, Qi Qian, Ji Zhang, Fei Huang:
mPLUG-PaperOwl: Scientific Diagram Analysis with the Multimodal Large Language Model. CoRR abs/2311.18248 (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 García, 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]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]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
- [b1]Chenliang Li:
Harnessing online social media to deal with information overload. Nanyang Technological University, Singapore, 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
[i79] [i78] [c115] [c111] [c110] [c109] [c107] [i76] [i75] [i73] [i72] [i71] [i67] [j47] [c95] [c94] [c93] [c92] [c90] [c89] [i65] [i63] [i60] [i58] [i57] [i55] [i52] [i51] [i49] [i48] [i45] [i39] [c79] [c78] [i34] [c61] [c60] [c59] [c58] [c53] [i29] [i27] [i26] [i25] [i23] [c45] [c38] [i22] [c26] [c22] [i9]
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