Multi-modal Multi-cultural Dimensional Continues Emotion Recognition in Dyadic Interactions. - Jinming Zhao; Ruichen Li; Shizhe Chen; Qin Jin (AVEC@MM, 2018)

Adversarial Domain Adaption for Multi-Cultural Dimensional Emotion Recognition in Dyadic Interactions. - Jinming Zhao; Ruichen Li; Jingjun Liang; Shizhe Chen; Qin Jin (AVEC@MM, 2019)

Multi-modal Fusion for Video Sentiment Analysis. - Ruichen Li; Jinming Zhao; Jingwen Hu 003; Shuai Guo; Qin Jin (MuSe @ ACM Multimedia, 2020)

Semi-supervised Multi-modal Emotion Recognition with Cross-Modal Distribution Matching. - Jingjun Liang; Ruichen Li; Qin Jin (ACM Multimedia, 2020)

MUSE2020 challenge report. - Ruichen Li; Jingwen Hu 003; Shuai Guo; Jinming Zhao (CoRR, 2020)

Missing Modality Imagination Network for Emotion Recognition with Uncertain Missing Modalities. - Jinming Zhao; Ruichen Li; Qin Jin (ACL/IJCNLP (1), 2021)

Speech Emotion Recognition via Multi-Level Cross-Modal Distillation. - Ruichen Li; Jinming Zhao; Qin Jin (Interspeech, 2021)

Multimodal Fusion Strategies for Physiological-emotion Analysis. - Tenggan Zhang; Zhaopei Huang; Ruichen Li; Jinming Zhao; Qin Jin (MuSe @ ACM Multimedia, 2021)

Towards a Theoretical Framework of Out-of-Distribution Generalization. - Haotian Ye; Chuanlong Xie; Tianle Cai; Ruichen Li; Zhenguo Li; Liwei Wang 001 (NeurIPS, 2021)

ScrofaZero: Mastering Trick-taking Poker Game Gongzhu by Deep Reinforcement Learning. - Naichen Shi; Ruichen Li; Sun Youran (CoRR, 2021)

WenLan: Bridging Vision and Language by Large-Scale Multi-Modal Pre-Training. - Yuqi Huo; Manli Zhang; Guangzhen Liu; Haoyu Lu; Yizhao Gao 004; Guoxing Yang; Jingyuan Wen; Heng Zhang; Baogui Xu; Weihao Zheng; Zongzheng Xi; Yueqian Yang; et al. (CoRR, 2021)

An unsupervised transfer learning model based on joint information for sleep stage classification. - Ruichen Li; Huan Wei; Bei Wang 003 (CISP-BMEI, 2022)

DialogueEIN: Emotion Interaction Network for Dialogue Affective Analysis. - Yuchen Liu 003; Jinming Zhao; Jingwen Hu 003; Ruichen Li; Qin Jin (COLING, 2022)

Memobert: Pre-Training Model with Prompt-Based Learning for Multimodal Emotion Recognition. - Jinming Zhao; Ruichen Li; Qin Jin; Xinchao Wang; Haizhou Li 001 (ICASSP, 2022)

FedMC: Federated Reinforcement Learning on the Edge with Meta-Critic Networks. - Derun Zou; Xusheng Liu; Lintan Sun; Jian-Hui Duan; Ruichen Li; Yeting Xu; Wenzhong Li; Sanglu Lu (IPCCC, 2022)

A machine learning strategy for fast prediction of cardiac function based on peripheral pulse wave. - Sirui Wang; Dandan Wu; Gaoyang Li; Xiaorui Song; Aike Qiao; Ruichen Li; Youjun Liu; Hitomi Anzai; Hao Liu 016 (Comput. Methods Programs Biomed., 2022)

Reconstruction Task Finds Universal Winning Tickets. - Ruichen Li; Binghui Li; Qi Qian 001; Liwei Wang 001 (CoRR, 2022)

AlignScore: Evaluating Factual Consistency with A Unified Alignment Function. - Yuheng Zha; Yichi Yang; Ruichen Li; Zhiting Hu (ACL (1), 2023)

Federated Learning with Data-Agnostic Distribution Fusion. - Jian-Hui Duan; Wenzhong Li; Derun Zou; Ruichen Li; Sanglu Lu (CVPR, 2023)

Landslide Surface Displacement Prediction Based on VSXC-LSTM Algorithm. - Menglin Kong; Ruichen Li; Fan Liu; Xingquan Li; Juan Cheng; Muzhou Hou; Cong Cao 003 (ICANN (8), 2023)

Finding Generalization Measures by Contrasting Signal and Noise. - Jiaye Teng; Bohang Zhang; Ruichen Li; Haowei He; Yequan Wang; Yan Tian; Yang Yuan (ICML, 2023)

A Deep Cybersickness Predictor through Kinematic Data with Encoded Physiological Representation. - Ruichen Li; Yuyang Wang 002; Handi Yin; Jean-Rémy Chardonnet; Pan Hui 001 (ISMAR, 2023)

Text Alignment Is An Efficient Unified Model for Massive NLP Tasks. - Yuheng Zha; Yichi Yang; Ruichen Li; Zhiting Hu (NeurIPS, 2023)

Dataset for predicting cybersickness from a virtual navigation task. - Yuyang Wang 002; Ruichen Li; Jean-Rémy Chardonnet; Pan Hui 001 (CoRR, 2023)

Forward Laplacian: A New Computational Framework for Neural Network-based Variational Monte Carlo. - Ruichen Li; Haotian Ye; Du Jiang; Xuelan Wen; Chuwei Wang; Zhe Li; Xiang Li; Di He 001; Ji Chen; Weiluo Ren; Liwei Wang 001 (CoRR, 2023)

EasyGraph: A multifunctional, cross-platform, and effective library for interdisciplinary network analysis. - Min Gao 004; Zheng Li; Ruichen Li; Chenhao Cui; Xinyuan Chen; Bodian Ye; Yupeng Li 001; Weiwei Gu; Qingyuan Gong; Xin Wang 002; Yang Chen 001 (Patterns, 2023)

Text-Guided Multi-region Scene Image Editing Based on Diffusion Model. - Ruichen Li; Lei Wu 002; Changshuo Wang 003; Pei Dong; Xin Li (ICIC (11), 2024)

SM-GAN: Single-Stage and Multi-object Text Guided Image Editing. - Ruichen Li; Lei Wu 002; Pei Dong; Minggang He (MMM (2), 2024)

Probe Selection Method Based on Context Channel Information for 5G MIMO OTA Testing in Dynamic Channel Environment. - Ruichen Li; Nan Ma; Kaiheng Zhang; Xiaoqi Qin; Huigang Chang; Fengmin Tang (WCSP, 2024)

A novel automatic detection and classification algorithm for elderly cognitive impairment using CSVM. - Weiying Zheng; Menglin Kong; Ruichen Li; Li Xiong; Xingquan Li; Muzhou Hou; Cong Cao 003 (Biomed. Signal Process. Control., 2024)

Deep Learning with Information Fusion and Model Interpretation for Health Monitoring of Fetus based on Long-term Prenatal Electronic Fetal Heart Rate Monitoring Data. - Zenghui Lin; Xintong Liu; Nan Wang; Ruichen Li; Qingao Liu; Jingying Ma; Liwei Wang 010; Yan Wang; Shenda Hong (CoRR, 2024)

DOF: Accelerating High-order Differential Operators with Forward Propagation. - Ruichen Li; Chuwei Wang; Haotian Ye; Di He 001; Liwei Wang 001 (CoRR, 2024)

Learn from Foundation Model: Fruit Detection Model without Manual Annotation. - Yanan Wang; Zhenghao Fei; Ruichen Li; Yibin Ying (CoRR, 2024)

Text to image synthesis with multi-granularity feature aware enhancement Generative Adversarial Networks. - Pei Dong; Lei Wu 002; Ruichen Li; Xiangxu Meng; Lei Meng 001 (Comput. Vis. Image Underst., 2024)

CFTNet: a robust credit card fraud detection model enhanced by counterfactual data augmentation. - Menglin Kong; Ruichen Li; Jia Wang; Xingquan Li; Shengzhong Jin; Wanying Xie; Muzhou Hou; Cong Cao 003 (Neural Comput. Appl., 2024)

Spin-symmetry-enforced solution of the many-body Schrödinger equation with a deep neural network. - Zhe Li; Zixiang Lu; Ruichen Li; Xuelan Wen; Xiang Li; Liwei Wang 001; Ji Chen; Weiluo Ren (Nat. Comput. Sci., 2024)

SCARNet: using convolution neural network to predict time series with time-varying variance. - Shaojie Zhao; Menglin Kong; Ruichen Li; Alphonse Houssou Hounye; Ri Su; Muzhou Hou; Cong Cao 003 (Multim. Tools Appl., 2025)

Solving the Hubbard model with Neural Quantum States. - Yuntian Gu; Wenrui Li; Heng Lin; Bo Zhan; Ruichen Li; Yifei Huang; Di He; Yantao Wu; Tao Xiang 004; Mingpu Qin; Liwei Wang; Dingshun Lv (CoRR, 2025)

Convergence-Guaranteed Federated Learning through Gradient Trajectory Smoothing with Triple-Objective Decomposition. - Haoran Zong; Xiao Zhang 015; Ruichen Li; Jianhui Duan; Derun Zou; Wenzhong Li (ACM Trans. Knowl. Discov. Data, 2025)