Price Prediction of Cryptocurrency: An Empirical Study. - Liuqing Yang; Xiao-Yang Liu; Xinyi Li; Yinchuan Li (SmartBlock, 2019)

Compressive Multidimensional Harmonic Retrieval with Prior Knowledge. - Yinchuan Li; Xu Zhang 011; Zegang Ding; Xiaodong Wang 001 (CoRR, 2019)

Multi-dimensional Spectral Super-Resolution with Prior Knowledge via Frequency-Selective Vandermonde Decomposition and ADMM. - Yinchuan Li; Xiaodong Wang 001; Zegang Ding (CoRR, 2019)

Risk Management via Anomaly Circumvent: Mnemonic Deep Learning for Midterm Stock Prediction. - Xinyi Li; Yinchuan Li; Xiao-Yang Liu; Christina Dan Wang (CoRR, 2019)

DP-LSTM: Differential Privacy-inspired LSTM for Stock Prediction Using Financial News. - Xinyi Li; Yinchuan Li; Hongyang Yang; Liuqing Yang; Xiao-Yang Liu (CoRR, 2019)

Spectrum Recovery for Clutter Removal in Penetrating Radar Imaging. - Yinchuan Li; Xiaodong Wang 001; Zegang Ding; Xu Zhang 011; Yin Xiang; Xiaopeng Yang (IEEE Trans. Geosci. Remote. Sens., 2019)

Interference Removal for Radar/Communication Co-Existence: The Random Scattering Case. - Yinchuan Li; Le Zheng; Marco Lops; Xiaodong Wang 001 (IEEE Trans. Wirel. Commun., 2019)

Multidimensional Spectral Super-Resolution With Prior Knowledge With Application to High Mobility Channel Estimation. - Yinchuan Li; Xiaodong Wang 001; Zegang Ding (IEEE J. Sel. Areas Commun., 2020)

Multi-Angle SAR Sparse Image Reconstruction With Improved Attributed Scattering Model. - Yangkai Wei; Yinchuan Li; Xinliang Chen; Zegang Ding (IEEE Geosci. Remote. Sens. Lett., 2020)

Multi-Target Position and Velocity Estimation Using OFDM Communication Signals. - Yinchuan Li; Xiaodong Wang 001; Zegang Ding (IEEE Trans. Commun., 2020)

Near-Field Phase Cross Correlation Focusing Imaging and Parameter Estimation for Penetrating Radar. - Zegang Ding; Yinchuan Li; Wei Liu; Yin Xiang; Yikun Zhao; Haibo Liu; Tao Zeng 001; Teng Long 001 (IEEE Trans. Geosci. Remote. Sens., 2020)

Communication Reducing Quantization for Federated Learning with Local Differential Privacy Mechanism. - Huixuan Zong; Qing Wang 015; Xiaofeng Liu 009; Yinchuan Li; Yunfeng Shao 001 (ICCC, 2021)

Unfolded Deep Neural Network (UDNN) for High Mobility Channel Estimation. - Yinchuan Li; Xiaodong Wang 001; Robert L. Olesen (WCNC, 2021)

Personalized Federated Learning via Maximizing Correlation with Sparse and Hierarchical Extensions. - Yinchuan Li; Xiaofeng Liu 009; Xu Zhang 011; Yunfeng Shao 001; Qing Wang 015; Yanhui Geng (CoRR, 2021)

SAR Parametric Super-Resolution Image Reconstruction Methods Based on ADMM and Deep Neural Network. - Yangkai Wei; Yinchuan Li; Zegang Ding; Yan Wang 011; Tao Zeng 001; Teng Long 001 (IEEE Trans. Geosci. Remote. Sens., 2021)

ADMM-Net for Communication Interference Removal in Stepped-Frequency Radar. - Jeremy Johnston; Yinchuan Li; Marco Lops; Xiaodong Wang 001 (IEEE Trans. Signal Process., 2021)

Federated Learning with Position-Aware Neurons. - Xin-Chun Li; Yichu Xu; Shaoming Song; Bingshuai Li; Yinchuan Li; Yunfeng Shao 001; De-Chuan Zhan (CVPR, 2022)

Personalized Federated Learning via Variational Bayesian Inference. - Xu Zhang 011; Yinchuan Li; Wenpeng Li; Kaiyang Guo; Yunfeng Shao 001 (ICML, 2022)

Avoid Overfitting User Specific Information in Federated Keyword Spotting. - Xin-Chun Li; Jin-Lin Tang; Shaoming Song; Bingshuai Li; Yinchuan Li; Yunfeng Shao 001; Le Gan; De-Chuan Zhan (INTERSPEECH, 2022)

S2RL: Do We Really Need to Perceive All States in Deep Multi-Agent Reinforcement Learning? - Shuang Luo; Yinchuan Li; Jiahui Li 003; Kun Kuang; Furui Liu; Yunfeng Shao 001; Chao Wu 001 (KDD, 2022)

Asymmetric Temperature Scaling Makes Larger Networks Teach Well Again. - Xin-Chun Li; Wen-Shu Fan; Shaoming Song; Yinchuan Li; Bingshuai Li; Yunfeng Shao 001; De-Chuan Zhan (NeurIPS, 2022)

Mining Latent Relationships among Clients: Peer-to-peer Federated Learning with Adaptive Neighbor Matching. - Zexi Li 001; Jiaxun Lu; Shuang Luo; Didi Zhu; Yunfeng Shao 001; Yinchuan Li; Zhimeng Zhang; Chao Wu 001 (CoRR, 2022)

Federated Learning with Position-Aware Neurons. - Xin-Chun Li; Yi-Chu Xu; Shaoming Song; Bingshuai Li; Yinchuan Li; Yunfeng Shao 001; De-Chuan Zhan (CoRR, 2022)

Tensor Decomposition based Personalized Federated Learning. - Qing Wang 015; Jing Jin; Xiaofeng Liu 009; Huixuan Zong; Yunfeng Shao 001; Yinchuan Li (CoRR, 2022)

On the Convergence Theory of Meta Reinforcement Learning with Personalized Policies. - Haozhi Wang; Qing Wang 015; Yunfeng Shao 001; Dong Li 016; Jianye Hao; Yinchuan Li (CoRR, 2022)

GFlowCausal: Generative Flow Networks for Causal Discovery. - Wenqian Li; Yinchuan Li; Shengyu Zhu 001; Yunfeng Shao 001; Jianye Hao; Yan Pang (CoRR, 2022)

Parametric Translational Compensation for ISAR Imaging Based on Cascaded Subaperture Integration With Application to Asteroid Imaging. - Zegang Ding; Siyuan Liu; Yinchuan Li; Peng-Jie You; Xu Zhou (IEEE Trans. Geosci. Remote. Sens., 2022)

Universal Domain Adaptation via Compressive Attention Matching. - Didi Zhu; Yinchuan Li; Junkun Yuan; Zexi Li 001; Kun Kuang; Chao Wu 001 (ICCV, 2023)

DAG Matters! GFlowNets Enhanced Explainer for Graph Neural Networks. - Wenqian Li; Yinchuan Li; Zhigang Li; Jianye Hao; Yan Pang (ICLR, 2023)

GFlowNets with Human Feedback. - Yinchuan Li; Shuang Luo; Yunfeng Shao 001; Jianye Hao (Tiny Papers @ ICLR, 2023)

CFlowNets: Continuous Control with Generative Flow Networks. - Yinchuan Li; Shuang Luo; Haozhi Wang; Jianye Hao (ICLR, 2023)

Regularized Offline GFlowNets. - Haozhi Wang; Yunfeng Shao 001; Jianye Hao; Yinchuan Li (Tiny Papers @ ICLR, 2023)

One Important Thing To Do Before Federated Training. - Yichu Xu; Wenqian Li; Yinchuan Li; Yunfeng Shao 001; Yan Pang; De-Chuan Zhan (Tiny Papers @ ICLR, 2023)

Large Sparse Kernels for Federated Learning. - Feilong Zhang 002; Yinchuan Li; Shiyi Lin; Yunfeng Shao 001; Junjun Jiang; Xianming Liu (Tiny Papers @ ICLR, 2023)

Generative Flow Networks for Precise Reward-Oriented Active Learning on Graphs. - Yinchuan Li; Zhigang Li; Wenqian Li; Yunfeng Shao 001; Yan Zheng 002; Jianye Hao (IJCAI, 2023)

Generalized Universal Domain Adaptation with Generative Flow Networks. - Didi Zhu; Yinchuan Li; Yunfeng Shao 001; Jianye Hao; Fei Wu 001; Kun Kuang; Jun Xiao 001; Chao Wu 001 (ACM Multimedia, 2023)

Federated Learning via Variational Bayesian Inference: Personalization, Sparsity and Clustering. - Xu Zhang 011; Wenpeng Li; Yunfeng Shao 001; Yinchuan Li (CoRR, 2023)

Multi-agent Policy Reciprocity with Theoretical Guarantee. - Haozhi Wang; Yinchuan Li; Qing Wang 015; Yunfeng Shao 001; Jianye Hao (CoRR, 2023)

Universal Domain Adaptation via Compressive Attention Matching. - Didi Zhu; Yinchuan Li; Junkun Yuan; Zexi Li 001; Yunfeng Shao 001; Kun Kuang; Chao Wu 001 (CoRR, 2023)

Bridging the Gap: Neural Collapse Inspired Prompt Tuning for Generalization under Class Imbalance. - Didi Zhu; Yinchuan Li; Min Zhang 005; Junkun Yuan; Jiashuo Liu; Zexi Li 001; Kun Kuang; Chao Wu 001 (CoRR, 2023)

A Theory of Non-Acyclic Generative Flow Networks. - Leo Maxime Brunswic; Yinchuan Li; Yushun Xu; Shangling Jui; Lizhuang Ma (CoRR, 2023)

A Theory of Non-acyclic Generative Flow Networks. - Leo Maxime Brunswic; Yinchuan Li; Yushun Xu; Yijun Feng; Shangling Jui; Lizhuang Ma (AAAI, 2024)

Does Combining Parameter-efficient Modules Improve Few-shot Transfer Accuracy? - Nader Asadi; Mahdi Beitollahi; Yasser H. Khalil; Yinchuan Li; Guojun Zhang; Xi Chen 009 (CoRR, 2024)

Sparse Federated Learning With Hierarchical Personalization Models. - Xiaofeng Liu 009; Qing Wang 015; Yunfeng Shao 001; Yinchuan Li (IEEE Internet Things J., 2024)

Meta Generative Flow Networks with personalization for task-specific adaptation. - Xinyuan Ji; Xu Zhang 011; Wei Xi; Haozhi Wang; Olga Gadyatskaya; Yinchuan Li (Inf. Sci., 2024)

Multi-agent Continuous Control with Generative Flow Networks. - Shuang Luo; Yinchuan Li; Shunyu Liu 001; Xu Zhang 011; Yunfeng Shao 001; Chao Wu 001 (Neural Networks, 2024)

Device Activity Detection and Channel Estimation for Millimeter-Wave Massive MIMO. - Yinchuan Li; Yuancheng Zhan; Le Zheng; Xiaodong Wang 001 (IEEE Trans. Commun., 2024)

Structured Directional Pruning via Perturbation Orthogonal Projection. - Xiaofeng Liu 009; Qing Wang 015; Yunfeng Shao 001; Yanhui Geng; Yinchuan Li (IEEE Trans. Signal Process., 2024)

Sparse Personalized Federated Learning. - Xiaofeng Liu 009; Yinchuan Li; Qing Wang 015; Xu Zhang 011; Yunfeng Shao 001; Yanhui Geng (IEEE Trans. Neural Networks Learn. Syst., 2024)

MAP: Model Aggregation and Personalization in Federated Learning With Incomplete Classes. - Xin-Chun Li; Shaoming Song; Yinchuan Li; Bingshuai Li; Yunfeng Shao 001; Yang Yang 074; De-Chuan Zhan (IEEE Trans. Knowl. Data Eng., 2024)

Towards Effective Clustered Federated Learning: A Peer-to-Peer Framework With Adaptive Neighbor Matching. - Zexi Li 001; Jiaxun Lu; Shuang Luo; Didi Zhu; Yunfeng Shao 001; Yinchuan Li; Zhimeng Zhang; Yongheng Wang; Chao Wu 001 (IEEE Trans. Big Data, 2024)

GUI-explorer: Autonomous Exploration and Mining of Transition-aware Knowledge for GUI Agent. - Bin Xie; Rui Shao 001; Gongwei Chen; Kaiwen Zhou; Yinchuan Li; Jie Liu 001; Min Zhang 005; Liqiang Nie (ACL (1), 2025)

Spatial-Temporal Graph Diffusion Policy with Kinematic Modeling for Bimanual Robotic Manipulation. - Qi Lv 001; Hao Li; Xiang Deng; Rui Shao 001; Yinchuan Li; Jianye Hao; Longxiang Gao; Michael Yu Wang; Liqiang Nie (CVPR, 2025)

3D-AffordanceLLM: Harnessing Large Language Models for Open-Vocabulary Affordance Detection in 3D Worlds. - Hengshuo Chu; Xiang Deng; Qi Lv 001; Xiaoyang Chen; Yinchuan Li; Jianye Hao; Liqiang Nie (ICLR, 2025)

Cooperative Multi-Model Training for Personalized Federated Learning Over Heterogeneous Devices. - Jian Xu 016; Shuo Wan; Yinchuan Li; Sichun Luo; Zhilin Chen; Yunfeng Shao 001; Zhitang Chen; Shao-Lun Huang; Linqi Song (IEEE J. Sel. Top. Signal Process., 2025)

Boosting Generalization in Diffusion-Based Neural Combinatorial Solver via Energy-guided Sampling. - Haoyu Lei; Kaiwen Zhou; Yinchuan Li; Zhitang Chen; Farzan Farnia (CoRR, 2025)

Generative Models in Decision Making: A Survey. - Yinchuan Li; Xinyu Shao; Jianping Zhang; Haozhi Wang; Leo Maxime Brunswic; Kaiwen Zhou; Jiqian Dong; Kaiyang Guo; Xiu Li 001; Zhitang Chen; Jun Wang 012; Jianye Hao (CoRR, 2025)

RA-DP: Rapid Adaptive Diffusion Policy for Training-Free High-frequency Robotics Replanning. - Xi Ye; Rui Heng Yang; Jun Jin; Yinchuan Li; Amir Rasouli (CoRR, 2025)

Tensor Generalized Approximate Message Passing. - Yinchuan Li; Guangchen Lan; Xiaodong Wang 001 (CoRR, 2025)

VideoAgent2: Enhancing the LLM-Based Agent System for Long-Form Video Understanding by Uncertainty-Aware CoT. - Zhuo Zhi; Qiangqiang Wu; Minghe shen; Wenbo Li; Yinchuan Li; Kun Shao; Kaiwen Zhou (CoRR, 2025)

Few-Shot Vision-Language Action-Incremental Policy Learning. - Mingchen Song; Xiang Deng; Guoqiang Zhong 001; Qi Lv 001; Jia Wan 001; Yinchuan Li; Jianye Hao; Weili Guan (CoRR, 2025)

DeCo: Task Decomposition and Skill Composition for Zero-Shot Generalization in Long-Horizon 3D Manipulation. - Zixuan Chen; Junhui Yin; Yangtao Chen; Jing Huo; Pinzhuo Tian; Jieqi Shi; Yiwen Hou; Yinchuan Li; Yang Gao 001 (CoRR, 2025)

Ergodic Generative Flows. - Leo Maxime Brunswic; Mateo Clemente; Rui Heng Yang; Adam Sigal; Amir Rasouli; Yinchuan Li (CoRR, 2025)

EmbodiedMAE: A Unified 3D Multi-Modal Representation for Robot Manipulation. - Zibin Dong; Fei Ni 001; Yifu Yuan; Yinchuan Li; Jianye Hao (CoRR, 2025)

Conditioning Matters: Training Diffusion Policies is Faster Than You Think. - Zibin Dong; Yicheng Liu; Yinchuan Li; Hang Zhao; Jianye Hao (CoRR, 2025)

UltraVSR: Achieving Ultra-Realistic Video Super-Resolution with Efficient One-Step Diffusion Space. - Yong Liu 031; Jinshan Pan; Yinchuan Li; Qingji Dong; Chao Zhu 007; Yu Guo 006; Fei Wang 008 (CoRR, 2025)

Proximalized Preference Optimization for Diverse Feedback Types: A Decomposed Perspective on DPO. - Kaiyang Guo; Yinchuan Li; Zhitang Chen (CoRR, 2025)

STAR: Learning Diverse Robot Skill Abstractions through Rotation-Augmented Vector Quantization. - Hao Li; Qi Lv 001; Rui Shao 001; Xiang Deng; Yinchuan Li; Jianye Hao; Liqiang Nie (CoRR, 2025)

Mirage-1: Augmenting and Updating GUI Agent with Hierarchical Multimodal Skills. - Yuquan Xie; Zaijing Li; Rui Shao 001; Gongwei Chen; Kaiwen Zhou; Yinchuan Li; Dongmei Jiang; Liqiang Nie (CoRR, 2025)

Less is More: Empowering GUI Agent with Context-Aware Simplification. - Gongwei Chen; Xurui Zhou; Rui Shao 001; Yibo Lyu; Kaiwen Zhou; Shuai Wang 020; Wentao Li; Yinchuan Li; Zhongang Qi; Liqiang Nie (CoRR, 2025)