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2020 – today
- 2025
[j64]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)- 2024
- [j63]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) - [j62]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) - [j61]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) - [j60]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) - [j59]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) - [j58]Yuhan Chen, Chenliang Li:
A Tensor Multigrid Method for Solving Sylvester Tensor Equations. IEEE Trans Autom. Sci. Eng. 21(3): 4397-4405 (2024) - [j57]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) - [j56]Zihao Li, Aixin Sun, Chenliang Li:
DiffuRec: A Diffusion Model for Sequential Recommendation. ACM Trans. Inf. Syst. 42(3): 66:1-66:28 (2024) - [j55]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) - [c115]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 - [c114]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 - [c113]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 - [c112]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 - [c111]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 - [c110]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 - [c109]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 - [c108]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 - [c107]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 - [c106]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 - [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 - [i75]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) - [i74]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) - [i73]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) - [i72]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) - [i71]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) - [i70]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) - [i69]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) - [i68]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) - [i67]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) - [i66]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) - 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]