Chengming Li

According to our database, Chengming Li authored at least 81 papers between 2015 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

LongEmotion: Measuring Emotional Intelligence of Large Language Models in Long-Context Interaction.

Weichu Liu, Jing Xiong, Yuxuan Hu, Zixuan Li, Minghuan Tan, Ningning Mao, Chenyang Zhao, Zhongwei Wan, Chaofan Tao, Wendong Xu, Hui Shen, Chengming Li, Lingpeng Kong, Ngai Wong

CoRR, September, 2025

A Survey on Large Language Model Benchmarks.

Shiwen Ni, Guhong Chen, Shuaimin Li, Xuanang Chen, Siyi Li, Bingli Wang, Qiyao Wang, Xingjian Wang, Yifan Zhang, Liyang Fan, Chengming Li, Ruifeng Xu, Le Sun, Min Yang

CoRR, August, 2025

CTR-Sink: Attention Sink for Language Models in Click-Through Rate Prediction.

Zixuan Li, Binzong Geng, Jing Xiong, Yong He, Yuxuan Hu, Jian Chen, Dingwei Chen, Xiyu Chang, Liang Zhang, Linjian Mo, Chengming Li, Chuan Yuan, Zhenan Sun

CoRR, August, 2025

MGHFT: Multi-Granularity Hierarchical Fusion Transformer for Cross-Modal Sticker Emotion Recognition.

Jian Chen, Yuxuan Hu, Haifeng Lu, Wei Wang, Min Yang, Chengming Li, Xiping Hu

CoRR, July, 2025

FedPall: Prototype-based Adversarial and Collaborative Learning for Federated Learning with Feature Drift.

Yong Zhang, Feng Liang, Guanghu Yuan, Min Yang, Chengming Li, Xiping Hu

CoRR, July, 2025

Expanding before Inferring: Enhancing Factuality in Large Language Models through Premature Layers Interpolation.

Dingwei Chen, Ziqiang Liu, Feiteng Fang, Chak Tou Leong, Shiwen Ni, Ahmadreza Argha, Hamid Alinejad-Rokny, Min Yang, Chengming Li

CoRR, June, 2025

AutoCBT: An Autonomous Multi-agent Framework for Cognitive Behavioral Therapy in Psychological Counseling.

Ancheng Xu, Di Yang, Renhao Li, Jingwei Zhu, Minghuan Tan, Min Yang, Wanxin Qiu, Mingchen Ma, Haihong Wu, Bingyu Li, Feng Sha, Chengming Li, Xiping Hu, Qiang Qu, Derek F. Wong, Ruifeng Xu

CoRR, January, 2025

CascadeRCG: Retrieval-Augmented Generation for Enhancing Professionalism and Knowledgeability in Online Mental Health Support.

Di Yang, Jingwei Zhu, Haihong Wu, Minghuan Tan, Chengming Li, Min Yang

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

EGRec: Leveraging Generative Rich Intents for Enhanced Recommendation with Large Language Models.

Zhaorui Lian, Binzong Geng, Xiyu Chang, Yu Zhang, Ke Ding, Ziyu Lyu, Guanghu Yuan, Chengming Li, Min Yang, Zhaoxin Huan, Bin Shen, Yong He, Linjian Mo, Liang Zhang, Xing Zhu

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

GNNHacker: Adaptive Subgraph Backdoor Attacking Method with Saliency Analysis and Joint Optimization.

Xiaojie Wu, Yan Luo, Shujie Li, Xiping Hu, Qiang Liu, Chengming Li

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2025

CPsyExam: A Chinese Benchmark for Evaluating Psychology using Examinations.

Jiahao Zhao, Jingwei Zhu, Minghuan Tan, Min Yang, Renhao Li, Yang Di, Chenhao Zhang, Guancheng Ye, Chengming Li, Xiping Hu, Derek F. Wong

Proceedings of the 31st International Conference on Computational Linguistics, 2025

AgentCourt: Simulating Court with Adversarial Evolvable Lawyer Agents.

Guhong Chen, Liyang Fan, Zihan Gong, Nan Xie, Zixuan Li, Ziqiang Liu, Chengming Li, Qiang Qu, Hamid Alinejad-Rokny, Shiwen Ni, Min Yang

Proceedings of the Findings of the Association for Computational Linguistics, 2025

Training on the Benchmark Is Not All You Need.

Shiwen Ni, Xiangtao Kong, Chengming Li, Xiping Hu, Ruifeng Xu, Jia Zhu, Min Yang

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Improving Semi-Supervised Text Classification with Dual Meta-Learning.

Shujie Li, Guanghu Yuan, Min Yang, Ying Shen, Chengming Li, Ruifeng Xu, Xiaoyan Zhao

ACM Trans. Inf. Syst., July, 2024

Dialogue emotion model based on local-global context encoder and commonsense knowledge fusion attention.

Weilun Yu, Chengming Li, Xiping Hu, Wenhua Zhu, Erik Cambria, Dazhi Jiang

Int. J. Mach. Learn. Cybern., July, 2024

RelJoin: Relative-cost-based selection of distributed join methods for query plan optimization.

Feng Liang, Francis C. M. Lau, Heming Cui, Yupeng Li, Bing Lin, Chengming Li, Xiping Hu

Inf. Sci., February, 2024

UncertaintyRAG: Span-Level Uncertainty Enhanced Long-Context Modeling for Retrieval-Augmented Generation.

Zixuan Li, Jing Xiong, Fanghua Ye, Chuanyang Zheng, Xun Wu, Jianqiao Lu, Zhongwei Wan, Xiaodan Liang, Chengming Li, Zhenan Sun, Lingpeng Kong, Ngai Wong

CoRR, 2024

PersonaMath: Enhancing Math Reasoning through Persona-Driven Data Augmentation.

Jing Luo, Run Luo, Longze Chen, Liang Zhu, Chang Ao, Jiaming Li, Yukun Chen, Xin Cheng, Wen Yang, Jiayuan Su, Chengming Li, Min Yang

CoRR, 2024

Fine-Tuning and Deploying Large Language Models Over Edges: Issues and Approaches.

Yanjie Dong, Xiaoyi Fan, Fangxin Wang, Chengming Li, Victor C. M. Leung, Xiping Hu

CoRR, 2024

Lower Layer Matters: Alleviating Hallucination via Multi-Layer Fusion Contrastive Decoding with Truthfulness Refocused.

Dingwei Chen, Feiteng Fang, Shiwen Ni, Feng Liang, Ruifeng Xu, Min Yang, Chengming Li

CoRR, 2024

AgentCourt: Simulating Court with Adversarial Evolvable Lawyer Agents.

Guhong Chen, Liyang Fan, Zihan Gong, Nan Xie, Zixuan Li, Ziqiang Liu, Chengming Li, Qiang Qu, Shiwen Ni, Min Yang

CoRR, 2024

Resource Allocation and Workload Scheduling for Large-Scale Distributed Deep Learning: A Survey.

Feng Liang, Zhen Zhang, Haifeng Lu, Chengming Li, Victor C. M. Leung, Yanyi Guo, Xiping Hu

CoRR, 2024

II-Bench: An Image Implication Understanding Benchmark for Multimodal Large Language Models.

Ziqiang Liu, Feiteng Fang, Xi Feng, Xinrun Du, Chenhao Zhang, Zekun Wang, Yuelin Bai, Qixuan Zhao, Liyang Fan, Chengguang Gan, Hongquan Lin, Jiaming Li, Yuansheng Ni, Haihong Wu, Yaswanth Narsupalli, Zhigang Zheng, Chengming Li, Xiping Hu, Ruifeng Xu, Xiaojun Chen, Min Yang, Jiaheng Liu, Ruibo Liu, Wenhao Huang, Ge Zhang, Shiwen Ni

CoRR, 2024

CPsyCoun: A Report-based Multi-turn Dialogue Reconstruction and Evaluation Framework for Chinese Psychological Counseling.

Chenhao Zhang, Renhao Li, Minghuan Tan, Min Yang, Jingwei Zhu, Di Yang, Jiahao Zhao, Guancheng Ye, Chengming Li, Xiping Hu, Derek F. Wong

CoRR, 2024

CPsyExam: A Chinese Benchmark for Evaluating Psychology using Examinations.

Jiahao Zhao, Jingwei Zhu, Minghuan Tan, Min Yang, Di Yang, Chenhao Zhang, Guancheng Ye, Chengming Li, Xiping Hu

CoRR, 2024

MoZIP: A Multilingual Benchmark to Evaluate Large Language Models in Intellectual Property.

Shiwen Ni, Minghuan Tan, Yuelin Bai, Fuqiang Niu, Min Yang, Bowen Zhang, Ruifeng Xu, Xiaojun Chen, Chengming Li, Xiping Hu, Ye Li, Jianping Fan

CoRR, 2024

History, Development, and Principles of Large Language Models-An Introductory Survey.

Zhibo Chu, Shiwen Ni, Zichong Wang, Xi Feng, Chengming Li, Xiping Hu, Ruifeng Xu, Min Yang, Wenbin Zhang

CoRR, 2024

Freeze-CD: Alleviating Hallucination of Large Language Models via Contrastive Decoding with Local Freezing Training.

Dingwei Chen, Shuai Wang, Zhengping Fan, Xiping Hu, Chengming Li

Proceedings of the IEEE International Conference on Smart Internet of Things, 2024

II-Bench: An Image Implication Understanding Benchmark for Multimodal Large Language Models.

Ziqiang Liu, Feiteng Fang, Xi Feng, Xeron Du, Chenhao Zhang, Noah Wang, Yuelin Bai, Qixuan Zhao, Liyang Fan, Chengguang Gan, Hongquan Lin, Jiaming Li, Yuansheng Ni, Haihong Wu, Yaswanth Narsupalli, Zhigang Zheng, Chengming Li, Xiping Hu, Ruifeng Xu, Xiaojun Chen, Min Yang, Jiaheng Liu, Ruibo Liu, Wenhao Huang, Ge Zhang, Shiwen Ni

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Learning to Generalize Unseen Domains via Multi-source Meta Learning for Text Classification.

Yuxuan Hu, Chenwei Zhang, Min Yang, Xiaodan Liang, Chengming Li, Xiping Hu

Proceedings of the Pattern Recognition - 27th International Conference, 2024

Layer-wise Regularized Dropout for Neural Language Models.

Shiwen Ni, Min Yang, Ruifeng Xu, Chengming Li, Xiping Hu

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

MoZIP: A Multilingual Benchmark to Evaluate Large Language Models in Intellectual Property.

Shiwen Ni, Minghuan Tan, Yuelin Bai, Fuqiang Niu, Min Yang, Bowen Zhang, Ruifeng Xu, Xiaojun Chen, Chengming Li, Xiping Hu

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

TP-Link: Fine-grained Pre-Training for Text-to-SQL Parsing with Linking Information.

Ziqiang Liu, Shujie Li, Zefeng Cai, Xiangyu Li, Yunshui Li, Chengming Li, Xiping Hu, Ruifeng Xu, Min Yang

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

CLHA: A Simple Yet Effective Contrastive Learning Framework for Human Alignment.

Feiteng Fang, Liang Zhu, Xi Feng, Jinchang Hou, Qixuan Zhao, Chengming Li, Xiping Hu, Ruifeng Xu, Min Yang

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

APTNESS: Incorporating Appraisal Theory and Emotion Support Strategies for Empathetic Response Generation.

Yuxuan Hu, Minghuan Tan, Chenwei Zhang, Zixuan Li, Xiaodan Liang, Min Yang, Chengming Li, Xiping Hu

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Forgetting before Learning: Utilizing Parametric Arithmetic for Knowledge Updating in Large Language Models.

Shiwen Ni, Dingwei Chen, Chengming Li, Xiping Hu, Ruifeng Xu, Min Yang

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

E-EVAL: A Comprehensive Chinese K-12 Education Evaluation Benchmark for Large Language Models.

Jinchang Hou, Chang Ao, Haihong Wu, Xiangtao Kong, Zhigang Zheng, Daijia Tang, Chengming Li, Xiping Hu, Ruifeng Xu, Shiwen Ni, Min Yang

Proceedings of the Findings of the Association for Computational Linguistics, 2024

CPsyCoun: A Report-based Multi-turn Dialogue Reconstruction and Evaluation Framework for Chinese Psychological Counseling.

Chenhao Zhang, Renhao Li, Minghuan Tan, Min Yang, Jingwei Zhu, Di Yang, Jiahao Zhao, Guancheng Ye, Chengming Li, Xiping Hu

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Leveraging hierarchical semantic-emotional memory in emotional conversation generation.

Min Yang, Zhenwei Wang, Qiancheng Xu, Chengming Li, Ruifeng Xu

CAAI Trans. Intell. Technol., September, 2023

Knowledge Enhanced Graph Neural Networks for Explainable Recommendation.

Ziyu Lyu, Yue Wu, Junjie Lai, Min Yang, Chengming Li, Wei Zhou

IEEE Trans. Knowl. Data Eng., May, 2023

User-Specific Adaptive Fine-Tuning for Cross-Domain Recommendations.

Lei Chen, Fajie Yuan, Jiaxi Yang, Xiangnan He, Chengming Li, Min Yang

IEEE Trans. Knowl. Data Eng., March, 2023

Reducing Spurious Correlations for Relation Extraction by Feature Decomposition and Semantic Augmentation.

Tianshu Yu, Min Yang, Chengming Li, Ruifeng Xu

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Adversarial Meta Prompt Tuning for Open Compound Domain Adaptive Intent Detection.

Feiteng Fang, Min Yang, Chengming Li, Ruifeng Xu

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Skeletal Spatial-Temporal Semantics Guided Homogeneous-Heterogeneous Multimodal Network for Action Recognition.

Chenwei Zhang, Yuxuan Hu, Min Yang, Chengming Li, Xiping Hu

Proceedings of the 31st ACM International Conference on Multimedia, 2023

2022

A Multi-Modal Gait Analysis-Based Detection System of the Risk of Depression.

Wei Shao, Zhiyang You, Lesheng Liang, Xiping Hu, Chengming Li, Wei Wang, Bin Hu

IEEE J. Biomed. Health Informatics, 2022

Data augmentation for depression detection using skeleton-based gait information.

Jingjing Yang, Haifeng Lu, Chengming Li, Xiping Hu, Bin Hu

Medical Biol. Eng. Comput., 2022

Self-consistent Reasoning For Solving Math Word Problems.

Jing Xiong, Zhongwei Wan, Xiping Hu, Min Yang, Chengming Li

CoRR, 2022

Image-Text Retrieval via Contrastive Learning with Auxiliary Generative Features and Support-set Regularization.

Lei Zhang, Min Yang, Chengming Li, Ruifeng Xu

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Expression Syntax Information Bottleneck for Math Word Problems.

Jing Xiong, Chengming Li, Min Yang, Xiping Hu, Bin Hu

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Dual Pseudo Supervision for Semi-Supervised Text Classification with a Reliable Teacher.

Shujie Li, Min Yang, Chengming Li, Ruifeng Xu

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Item-Provider Co-learning for Sequential Recommendation.

Lei Chen, Jingtao Ding, Min Yang, Chengming Li, Chonggang Song, Lingling Yi

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Self-Distillation with Meta Learning for Knowledge Graph Completion.

Yunshui Li, Junhao Liu, Min Yang, Chengming Li

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

More than Encoder: Introducing Transformer Decoder to Upsample.

Yijiang Li, Wentian Cai, Ying Gao, Chengming Li, Xiping Hu

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021

An Effective Hybrid Learning Model for Real-Time Event Summarization.

Min Yang, Qiang Qu, Ying Shen, Zhou Zhao, Xiaojun Chen, Chengming Li

IEEE Trans. Neural Networks Learn. Syst., 2021

Hierarchical Human-Like Deep Neural Networks for Abstractive Text Summarization.

Min Yang, Chengming Li, Ying Shen, Qingyao Wu, Zhou Zhao, Xiaojun Chen

IEEE Trans. Neural Networks Learn. Syst., 2021

Improving Cross-Modal Image-Text Retrieval With Teacher-Student Learning.

Junhao Liu, Min Yang, Chengming Li, Ruifeng Xu

IEEE Trans. Circuits Syst. Video Technol., 2021

Multi-goal multi-agent learning for task-oriented dialogue with bidirectional teacher-student learning.

Wanwei He, Yang Sun, Min Yang, Feng Ji, Chengming Li, Ruifeng Xu

Knowl. Based Syst., 2021

Scene-adaptive Knowledge Distillation for Sequential Recommendation via Differentiable Architecture Search.

Lei Chen, Fajie Yuan, Jiaxi Yang, Min Yang, Chengming Li

CoRR, 2021

Abstractive Text Summarization with Hierarchical Multi-scale Abstraction Modeling and Dynamic Memory.

Lihan Wang, Min Yang, Chengming Li, Ying Shen, Ruifeng Xu

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

CLC-RS: A Chinese Legal Case Retrieval System with Masked Language Ranking.

Jieke Li, Min Yang, Chengming Li

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Imagine, Reason and Write: Visual Storytelling with Graph Knowledge and Relational Reasoning.

Chunpu Xu, Min Yang, Chengming Li, Ying Shen, Xiang Ao, Ruifeng Xu

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Exploring Auxiliary Reasoning Tasks for Task-oriented Dialog Systems with Meta Cooperative Learning.

Bowen Qin, Min Yang, Lidong Bing, Qingshan Jiang, Chengming Li, Ruifeng Xu

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

A User-Adaptive Layer Selection Framework for Very Deep Sequential Recommender Models.

Lei Chen, Fajie Yuan, Jiaxi Yang, Xiang Ao, Chengming Li, Min Yang

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

An Ensemble of Generation- and Retrieval-Based Image Captioning With Dual Generator Generative Adversarial Network.

Min Yang, Junhao Liu, Ying Shen, Zhou Zhao, Xiaojun Chen, Qingyao Wu, Chengming Li

IEEE Trans. Image Process., 2020

Plausibility-promoting generative adversarial network for abstractive text summarization with multi-task constraint.

Min Yang, Xintong Wang, Yao Lu, Jianming Lv, Ying Shen, Chengming Li

Inf. Sci., 2020

StackRec: Efficient Training of Very Deep Sequential Recommender Models by Layer Stacking.

Jiachun Wang, Fajie Yuan, Jian Chen, Qingyao Wu, Chengming Li, Min Yang, Yang Sun, Guoxiao Zhang

CoRR, 2020

Multi-source Domain Adaptation for Sentiment Classification with Granger Causal Inference.

Min Yang, Ying Shen, Xiaojun Chen, Chengming Li

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Amalgamating Knowledge from Two Teachers for Task-oriented Dialogue System with Adversarial Training.

Wanwei He, Min Yang, Rui Yan, Chengming Li, Ying Shen, Ruifeng Xu

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Interactive Key-Value Memory-augmented Attention for Image Paragraph Captioning.

Chunpu Xu, Yu Li, Chengming Li, Xiang Ao, Min Yang, Jinwen Tian

Proceedings of the 28th International Conference on Computational Linguistics, 2020

Be Relevant, Non-Redundant, and Timely: Deep Reinforcement Learning for Real-Time Event Summarization.

Min Yang, Chengming Li, Fei Sun, Zhou Zhao, Ying Shen, Chenglin Wu

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Virtual Network Embedding in Fiber-Wireless Access Networks for Resource-Efficient IoT Service Provisioning.

Yejun Liu, Yahe Yang, Pengchao Han, Zeyu Shao, Chengming Li

IEEE Access, 2019

Green Internet of Vehicles: Architecture, Enabling Technologies, and Applications.

Handi Chen, Tingting Zhao, Chengming Li, Yi Guo

IEEE Access, 2019

2018

An Effective Privacy Architecture to Preserve User Trajectories in Reward-Based LBS Applications.

A. S. M. Touhidul Hasan, Qiang Qu, Chengming Li, Lifei Chen, Qingshan Jiang

ISPRS Int. J. Geo Inf., 2018

Secure and Efficient Content Distribution in Crowdsourced Vehicular Content-Centric Networking.

Chengming Li, Shimin Gong, Xiaojie Wang, Lei Wang, Qingshan Jiang, Koji Okamura

IEEE Access, 2018

Robust Caching Control in Crowdsourced Content-Centric Mobile Networking.

Chengming Li, Shimin Gong, Zhaolong Ning, Laiping Zhao, Qingshan Jiang, Pan Zhou

IEEE Access, 2018

Weighted Multi-feature Fusion Algorithm for Fine-Grained Image Retrieval.

Zhihui Wang, Shijie Wang, Hong Wang, Haojie Li, Chengming Li

Proceedings of the Advances in Multimedia Information Processing - PCM 2018, 2018

2017

An Effective Grouping Method for Privacy-Preserving Bike Sharing Data Publishing.

A. S. M. Touhidul Hasan, Qingshan Jiang, Chengming Li

Future Internet, 2017

Performance Analysis for Content Distribution in Crowdsourced Content-Centric Mobile Networking.

Chengming Li, Xiaojie Wang, Shimin Gong, Zhi-Hui Wang, Qingshan Jiang

Proceedings of the Quality, Reliability, Security and Robustness in Heterogeneous Systems, 2017

2016

An effective value swapping method for privacy preserving data publishing.

A. S. M. Touhidul Hasan, Qingshan Jiang, Jun Luo, Chengming Li, Lifei Chen

Secur. Commun. Networks, 2016

An Effective Model for Anonymizing Personal Location Trajectory.

A. S. M. Touhidul Hasan, Qingshan Jiang, Chengming Li, Lifei Chen

Proceedings of the 6th International Conference on Communication and Network Security, 2016

2015

Energy-efficient quality of service aware forwarding scheme for Content-Centric Networking.

Chengming Li, Wenjing Liu, Lei Wang, Mingchu Li, Koji Okamura

J. Netw. Comput. Appl., 2015