A Fuzzy Neural Network Model with Application to Telecommunications Business. - Yongping Li; Rongjun Li (APSCC, 2006)

A Modified Genetic Algorithm with Multiple Subpopulations and Dynamic Parameters Applied in CVaR Model. - Rongjun Li; Xianying Chang (CIMCA/IAWTIC, 2006)

A Modified Genetic Fuzzy Neural Network with Application to Financial Distress Analysis. - Rongjun Li; Zhibin Xiong (CIMCA/IAWTIC, 2006)

Opinion Analysis Task of Simplified Chinese Monolingual at NTCIR-8. - Yuan Kuang; Bo Zhang; Wenbin Pan; Yujie Zhang; Bin Zhang; Rongjun Li; Yu Mao; Yanquan Zhou (NTCIR, 2010)

A New PSO Model Mimicking Bio-parasitic Behavior. - Quande Qin; Rongjun Li; Ben Niu 002; Li Li 004 (ICSI (1), 2010)

A Portfolio Selection Model Based on Possibility Theory Using Fuzzy Two-stage Algorithm. - Xue Deng; Rongjun Li (J. Convergence Inf. Technol., 2010)

Constraint Method for Possibilistic Mean-variance Portfolio with Transaction Costs and Lending. - Xue Deng; Junfeng Zhao 004; Lihong Yang; Rongjun Li (J. Convergence Inf. Technol., 2010)

Possibilistic mean-variance utility to portfolio selection for bounded assets. - Xue Deng; Junfeng Zhao 004; Lihong Yang; Rongjun Li (J. Digit. Content Technol. its Appl., 2010)

A portfolio selection model with borrowing constraint based on possibility theory. - Xue Deng; Rongjun Li (Appl. Soft Comput., 2012)

PSOPB: A Two-population Particle Swarm Optimizer Mimicking Facultative Bio-parasitic Behavior. - Quande Qin; Li Li 004; Rongjun Li; Ben Niu 002 (Int. J. Comput. Intell. Syst., 2012)

Gradually tolerant constraint method for fuzzy portfolio based on possibility theory. - Xue Deng; Rongjun Li (Inf. Sci., 2014)

Knowledge Graph Embedding by Translation Model on Subgraph. - Yifan Tan; Rongjun Li; Jianjun Zhou; Shuhua Zhu (HCC, 2018)

Context-Dependent Domain Adversarial Neural Network for Multimodal Emotion Recognition. - Zheng Lian; Jianhua Tao 001; Bin Liu 041; Jian Huang 014; Zhanlei Yang; Rongjun Li (INTERSPEECH, 2020)

Conversational Emotion Recognition Using Self-Attention Mechanisms and Graph Neural Networks. - Zheng Lian; Jianhua Tao 001; Bin Liu 041; Jian Huang 014; Zhanlei Yang; Rongjun Li (INTERSPEECH, 2020)

ASR Error Correction with Constrained Decoding on Operation Prediction. - Jingyuan Yang 008; Rongjun Li; Wei Peng 011 (INTERSPEECH, 2022)

Dictionary-driven Chinese ASR Entity Correction with Controllable Decoding. - Rongjun Li; Wei Peng 011 (APSIPA ASC, 2023)

New Datasets and Controllable Iterative Data Augmentation Method for Code-switching ASR Error Correction. - Zhaohong Wan; Xiaojun Wan 001; Wei Peng 011; Rongjun Li (EMNLP (Findings), 2023)

Video Summarization Leveraging Multimodal Information for Presentations. - Hanchao Liu; Dapeng Chen; Rongjun Li; Wenyuan Xue; Wei Peng 011 (INTERSPEECH, 2023)

Enhancing Semantic Consistency of Large Language Models through Model Editing: An Interpretability-Oriented Approach. - Jingyuan Yang 008; Dapeng Chen; Yajing Sun; Rongjun Li; Zhiyong Feng; Wei Peng 011 (ACL (Findings), 2024)

Contextual Modeling for Document-level ASR Error Correction. - Jin Jiang; Xunjian Yin; Xiaojun Wan 001; Wei Peng 011; Rongjun Li; Jingyuan Yang 008; Yanquan Zhou (LREC/COLING, 2024)

Application of LLM Techniques for Data Insights in DHP. - Jun Luo; Chao Ouyang 003; Yinggang Jing; Huajian Fang; Yunlong Xiao; Qing Zhang; Rongjun Li (DTPI, 2024)

Cross Modal Training for ASR Error Correction with Contrastive Learning. - Jin Jiang; Xiaojun Wan 001; Wei Peng 011; Rongjun Li; Jingyuan Yang 008; Yanquan Zhou (ICASSP, 2024)

A Survey on Hallucination in Large Vision-Language Models. - Hanchao Liu; Wenyuan Xue; Yifei Chen; Dapeng Chen; Xiutian Zhao; Ke Wang; Liping Hou; Rongjun Li; Wei Peng 011 (CoRR, 2024)

WorkTeam: Constructing Workflows from Natural Language with Multi-Agents. - Hanchao Liu; Rongjun Li; Weimin Xiong; Ziyu Zhou; Wei Peng 011 (NAACL (Industry Track), 2025)

LF-Steering: Latent Feature Activation Steering for Enhancing Semantic Consistency in Large Language Models. - Jingyuan Yang 008; Rongjun Li; Weixuan Wang; Ziyu Zhou; Zhiyong Feng; Wei Peng 011 (CoRR, 2025)

Gradient Co-occurrence Analysis for Detecting Unsafe Prompts in Large Language Models. - Jingyuan Yang 008; Bowen Yan; Rongjun Li; Ziyu Zhou; Xin Chen; Zhiyong Feng; Wei Peng 011 (CoRR, 2025)

Evaluating the Effectiveness of Black-Box Prompt Optimization as the Scale of LLMs Continues to Grow. - Ziyu Zhou; Yihang Wu; Jingyuan Yang 008; Zhan Xiao; Rongjun Li (CoRR, 2025)