Improving grid service's QoS through self-configuring regulation. - Xiaoli Zhi; Lu Rong; Weiqin Tong (Eng. Appl. Artif. Intell., 2004)

Capacity, Delay and Mobility in Hybrid Wireless Networks. - Qinyun Dai; Lu Rong; Honglin Hu (ICNSC, 2008)

Low-Complexity PAPR Reduction of MC-SS Signals in PAN. - Lu Rong; Xiaoli Zhi; Yibing Xue (Wirel. Pers. Commun., 2008)

Cross-layer Scheduling Algorithms for IEEE 802.16 Based Wireless Mesh Networks. - Jian Zhang 010; Honglin Hu; Lu Rong; Hsiao-Hwa Chen (Wirel. Pers. Commun., 2009)

Study on the Paths of Low-carbon Urban Construction Driven by Low-carbon Consumption. - Yu Liying; Lu Rong (ICEE, 2010)

Performance of Channel-Aware Scheduling Algorithms for HDR-WPAN. - Guangdi Yang; Dingyuan Tu; Rufeng Lin; Lu Rong; Yang Du 002 (IEEE Trans. Parallel Distributed Syst., 2010)

ScenarioSA: A Dyadic Conversational Database for Interactive Sentiment Analysis. - Yazhou Zhang; Zhipeng Zhao; Panpan Wang; Xiang Li 064; Lu Rong; Dawei Song 001 (IEEE Access, 2020)

A Quantum-Like multimodal network framework for modeling interaction dynamics in multiparty conversational sentiment analysis. - Yazhou Zhang; Dawei Song 001; Xiang Li 064; Peng Zhang 002; Panpan Wang; Lu Rong; Guangliang Yu; Bo Wang 011 (Inf. Fusion, 2020)

Multi-Task Learning for Jointly Detecting Depression and Emotion. - Yazhou Zhang; Xiang Li 064; Lu Rong; Prayag Tiwari (BIBM, 2021)

MedSeq2Seq: A Medical Knowledge Enriched Sequence to Sequence Learning Model for COVID-19 Diagnosis. - Yazhou Zhang; Lu Rong; Xiang Li 064; Prayag Tiwari; Qian Zheng; Hui Liang 004 (BIBM, 2021)

Prompt Learning for Multi-modal COVID-19 Diagnosis. - Yang Yu 044; Lu Rong; Mengyao Wang; Min Huang 001; Yazhou Zhang; Yijie Ding (BIBM, 2022)

A Hybrid Model for Depression Detection With Transformer and Bi-directional Long Short-Term Memory. - Yazhou Zhang; Yu He; Lu Rong; Yijie Ding (BIBM, 2022)

Multi-modal Sentiment and Emotion Joint Analysis with a Deep Attentive Multi-task Learning Model. - Yazhou Zhang; Lu Rong; Xiang Li 064; Rui Chen (ECIR (1), 2022)

Affective Interaction: Attentive Representation Learning for Multi-Modal Sentiment Classification. - Yazhou Zhang; Prayag Tiwari; Lu Rong; Rui Chen; Nojoom A. Alnajem; M. Shamim Hossain (ACM Trans. Multim. Comput. Commun. Appl., 2022)

InteractiveSentimentDataset. - Yazhou Zhang; Zhipeng Zhao; Panpan Wang; Xiang Li 064; Lu Rong; Dawei Song 001 (IEEE DataPort, 2022)

SentiImgBank: A Large Scale Visual Repository for Image Sentiment Analysis. - Yazhou Zhang; Yu He; Rui Chen; Lu Rong (PRCV (11), 2023)

A Multitask learning model for multimodal sarcasm, sentiment and emotion recognition in conversations. - Yazhou Zhang; Jinglin Wang; Yaochen Liu; Lu Rong; Qian Zheng; Dawei Song 001; Prayag Tiwari; Jing Qin 001 (Inf. Fusion, 2023)

Edu-Values: Towards Evaluating the Chinese Education Values of Large Language Models. - Peiyi Zhang; Yazhou Zhang; Bo Wang 011; Lu Rong; Jing Qin 001 (CoRR, 2024)

Full-Aperture Reflective Remote Fourier Ptychography with Sample Matching. - Dayong Wang; Jiahao Meng; Jie Zhao; Renyuan Wang; Yunxin Wang; Lu Rong; Shufeng Lin; Ling Li (Remote. Sens., 2024)

A Multi-Modal ELMo Model for Image Sentiment Recognition of Consumer Data. - Lu Rong; Yijie Ding; Mengyao Wang; Abdulmotaleb El-Saddik; M. Shamim Hossain (IEEE Trans. Consumer Electron., 2024)

Edu-Values: Towards Evaluating the Chinese Education Values of Large Language Models. - Peiyi Zhang; Yazhou Zhang; Bo Wang 011; Lu Rong; Prayag Tiwari; Jing Qin 001 (WWW (Companion Volume), 2025)

BegoniaGPT: Cultivating the large language model to be an exceptional K-12 English teacher. - Lu Rong; Yazhou Zhang; Prayag Tiwari; Mei Yu (Neural Networks, 2025)

Are MLMs Trapped in the Visual Room? - Yazhou Zhang; Chunwang Zou; Qimeng Liu; Lu Rong; Ben Yao; Zheng Lian; Qiuchi Li; Peng Zhang 002; Jing Qin 001 (CoRR, 2025)