Yinchuan Li - RankMe

105 papers A* 17A 2B 1C 1Journal 78Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	ActionCodec: What Makes for Good Action Tokenizers. CoRR Zibin Dong, Yicheng Liu, Shiduo Zhang, Baijun Ye, Yifu Yuan, Fei Ni, Jingjing Gong, Xipeng Qiu, Hang Zhao, Yinchuan Li, Jianye Hao
2026	A*	`conf`	Boosting Cross-problem Generalization in Diffusion-Based Neural Combinatorial Solver via Inference Time Adaptation. AAAI Haoyu Lei, Kaiwen Zhou, Yinchuan Li, Zhitang Chen, Farzan Farnia
2026	J	`jnl`	DVD: Deterministic Video Depth Estimation with Generative Priors. CoRR Hongfei Zhang, Harold Haodong Chen, Chenfei Liao, Jing He, Zixin Zhang, Haodong Li, Yihao Liang, Kanghao Chen, Bin Ren, Xu Zheng, Shuai Yang, Kun Zhou, Yinchuan Li, Nicu Sebe, Ying-Cong Chen
2026	J	`jnl`	DeCo: Task Decomposition and Skill Composition for Zero-Shot Generalization in Long-Horizon 3D Manipulation. IEEE Robotics Autom. Lett. Zixuan Chen, Junhui Yin, Yangtao Chen, Jing Huo, Pinzhuo Tian, Jieqi Shi, Yiwen Hou, Yinchuan Li, Yang Gao
2026	J	`jnl`	OpenPyRo-A1: An Open Python-Based Low-Cost Bimanual Robot for Embodied AI. IEEE Robotics Autom. Lett. Helong Huang, Christopher E. Mower, Guowei Huang, Sarthak Das, Magnus Dierking, Guangyuan Luo, Kai Tan, Xi Chen, Yehai Yang, Yingbing Chen, Yiming Zeng, Yinchuan Li, Zhanpeng Zhang, Shuang Wu, Yingxue Zhang, Weichao Qiu, Tongtong Cao, Mian Qin, Sajjad Pakdamansavoji, Yuecheng Liu, Yuzheng Zhuang, Guangjian Tian, Jianye Hao, Jun Wang, Haitham Bou-Ammar, Xingyue Quan
2026	J	`jnl`	Panoramic Affordance Prediction. CoRR Zixin Zhang, Chenfei Liao, Hongfei Zhang, Harold Haodong Chen, Kanghao Chen, Zichen Wen, Litao Guo, Bin Ren, Xu Zheng, Yinchuan Li, Xuming Hu, Nicu Sebe, Ying-Cong Chen
2026	A*	`conf`	Personalized Federated Learning with Bidirectional Communication Compression via One-Bit Random Sketching. AAAI Jiacheng Cheng, Xu Zhang, Guanghui Qiu, Yifang Zhang, Yinchuan Li, Kaiyuan Feng
2025	A*	`conf`	3D-AffordanceLLM: Harnessing Large Language Models for Open-Vocabulary Affordance Detection in 3D Worlds. ICLR Hengshuo Chu, Xiang Deng, Qi Lv, Xiaoyang Chen, Yinchuan Li, Jianye Hao, Liqiang Nie
2025	J	`jnl`	3D-AffordanceLLM: Harnessing Large Language Models for Open-Vocabulary Affordance Detection in 3D Worlds. CoRR Hengshuo Chu, Xiang Deng, Qi Lv, Xiaoyang Chen, Yinchuan Li, Jianye Hao, Liqiang Nie
2025	J	`jnl`	A Theory of Multi-Agent Generative Flow Networks. CoRR Leo Maxime Brunswic, Haozhi Wang, Shuang Luo, Jianye Hao, Amir Rasouli, Yinchuan Li
2025	J	`jnl`	Boosting Generalization in Diffusion-Based Neural Combinatorial Solver via Energy-guided Sampling. CoRR Haoyu Lei, Kaiwen Zhou, Yinchuan Li, Zhitang Chen, Farzan Farnia
2025	J	`jnl`	Conditioning Matters: Training Diffusion Policies is Faster Than You Think. CoRR Zibin Dong, Yicheng Liu, Yinchuan Li, Hang Zhao, Jianye Hao
2025	J	`jnl`	Cooperative Multi-Model Training for Personalized Federated Learning Over Heterogeneous Devices. IEEE J. Sel. Top. Signal Process. Jian Xu, Shuo Wan, Yinchuan Li, Sichun Luo, Zhilin Chen, Yunfeng Shao, Zhitang Chen, Shao-Lun Huang, Linqi Song
2025	J	`jnl`	DeCo: Task Decomposition and Skill Composition for Zero-Shot Generalization in Long-Horizon 3D Manipulation. CoRR Zixuan Chen, Junhui Yin, Yangtao Chen, Jing Huo, Pinzhuo Tian, Jieqi Shi, Yiwen Hou, Yinchuan Li, Yang Gao
2025	J	`jnl`	EmbodiedMAE: A Unified 3D Multi-Modal Representation for Robot Manipulation. CoRR Zibin Dong, Fei Ni, Yifu Yuan, Yinchuan Li, Jianye Hao
2025	A*	`conf`	Ergodic Generative Flows. ICML Leo Maxime Brunswic, Mateo Clémente, Rui Heng Yang, Adam Sigal, Amir Rasouli, Yinchuan Li
2025	J	`jnl`	Ergodic Generative Flows. CoRR Leo Maxime Brunswic, Mateo Clémente, Rui Heng Yang, Adam Sigal, Amir Rasouli, Yinchuan Li
2025	J	`jnl`	Few-Shot Vision-Language Action-Incremental Policy Learning. CoRR Mingchen Song, Xiang Deng, Guoqiang Zhong, Qi Lv, Jia Wan, Yinchuan Li, Jianye Hao, Weili Guan
2025	—	`conf`	GUI-explorer: Autonomous Exploration and Mining of Transition-aware Knowledge for GUI Agent. ACL (1) Bin Xie, Rui Shao, Gongwei Chen, Kaiwen Zhou, Yinchuan Li, Jie Liu, Min Zhang, Liqiang Nie
2025	J	`jnl`	GUI-explorer: Autonomous Exploration and Mining of Transition-aware Knowledge for GUI Agent. CoRR Bin Xie, Rui Shao, Gongwei Chen, Kaiwen Zhou, Yinchuan Li, Jie Liu, Min Zhang, Liqiang Nie
2025	J	`jnl`	Generative Models in Decision Making: A Survey. CoRR Yinchuan Li, Xinyu Shao, Jianping Zhang, Haozhi Wang, Leo Maxime Brunswic, Kaiwen Zhou, Jiqian Dong, Kaiyang Guo, Xiu Li, Zhitang Chen, Jun Wang, Jianye Hao
2025	J	`jnl`	Less is More: Empowering GUI Agent with Context-Aware Simplification. CoRR Gongwei Chen, Xurui Zhou, Rui Shao, Yibo Lyu, Kaiwen Zhou, Shuai Wang, Wentao Li, Yinchuan Li, Zhongang Qi, Liqiang Nie
2025	J	`jnl`	Mirage-1: Augmenting and Updating GUI Agent with Hierarchical Multimodal Skills. CoRR Yuquan Xie, Zaijing Li, Rui Shao, Gongwei Chen, Kaiwen Zhou, Yinchuan Li, Dongmei Jiang, Liqiang Nie
2025	J	`jnl`	Personalized Federated Learning with Bidirectional Communication Compression via One-Bit Random Sketching. CoRR Jiacheng Cheng, Xu Zhang, Guanghui Qiu, Yifang Zhang, Yinchuan Li, Kaiyuan Feng
2025	J	`jnl`	PhysToolBench: Benchmarking Physical Tool Understanding for MLLMs. CoRR Zixin Zhang, Kanghao Chen, Xingwang Lin, Lutao Jiang, Xu Zheng, Yuanhuiyi Lyu, Litao Guo, Yinchuan Li, Ying-Cong Chen
2025	J	`jnl`	Proximalized Preference Optimization for Diverse Feedback Types: A Decomposed Perspective on DPO. CoRR Kaiyang Guo, Yinchuan Li, Zhitang Chen
2025	A	`conf`	RA-DP: Rapid Adaptive Diffusion Policy for Training-Free High-frequency Robotics Replanning. IROS Xi Ye, Rui Heng Yang, Jun Jin, Yinchuan Li, Amir Rasouli
2025	J	`jnl`	RA-DP: Rapid Adaptive Diffusion Policy for Training-Free High-frequency Robotics Replanning. CoRR Xi Ye, Rui Heng Yang, Jun Jin, Yinchuan Li, Amir Rasouli
2025	A*	`conf`	STAR: Learning Diverse Robot Skill Abstractions through Rotation-Augmented Vector Quantization. ICML Hao Li, Qi Lv, Rui Shao, Xiang Deng, Yinchuan Li, Jianye Hao, Liqiang Nie
2025	J	`jnl`	STAR: Learning Diverse Robot Skill Abstractions through Rotation-Augmented Vector Quantization. CoRR Hao Li, Qi Lv, Rui Shao, Xiang Deng, Yinchuan Li, Jianye Hao, Liqiang Nie
2025	A*	`conf`	Spatial-Temporal Graph Diffusion Policy with Kinematic Modeling for Bimanual Robotic Manipulation. CVPR Qi Lv, Hao Li, Xiang Deng, Rui Shao, Yinchuan Li, Jianye Hao, Longxiang Gao, Michael Yu Wang, Liqiang Nie
2025	J	`jnl`	Spatial-Temporal Graph Diffusion Policy with Kinematic Modeling for Bimanual Robotic Manipulation. CoRR Qi Lv, Hao Li, Xiang Deng, Rui Shao, Yinchuan Li, Jianye Hao, Longxiang Gao, Michael Yu Wang, Liqiang Nie
2025	J	`jnl`	Tensor Generalized Approximate Message Passing. CoRR Yinchuan Li, Guangchen Lan, Xiaodong Wang
2025	J	`jnl`	Two-Steps Diffusion Policy for Robotic Manipulation via Genetic Denoising. CoRR Mateo Clémente, Leo Maxime Brunswic, Rui Heng Yang, Xuan Zhao, Yasser H. Khalil, Haoyu Lei, Amir Rasouli, Yinchuan Li
2025	A*	`conf`	UltraVSR: Achieving Ultra-Realistic Video Super-Resolution with Efficient One-Step Diffusion Space. ACM Multimedia Yong Liu, Jinshan Pan, Yinchuan Li, Qingji Dong, Chao Zhu, Yu Guo, Fei Wang
2025	J	`jnl`	UltraVSR: Achieving Ultra-Realistic Video Super-Resolution with Efficient One-Step Diffusion Space. CoRR Yong Liu, Jinshan Pan, Yinchuan Li, Qingji Dong, Chao Zhu, Yu Guo, Fei Wang
2025	J	`jnl`	VideoAgent2: Enhancing the LLM-Based Agent System for Long-Form Video Understanding by Uncertainty-Aware CoT. CoRR Zhuo Zhi, Qiangqiang Wu, Minghe shen, Wenbo Li, Yinchuan Li, Kun Shao, Kaiwen Zhou
2024	A*	`conf`	A Theory of Non-acyclic Generative Flow Networks. AAAI Leo Maxime Brunswic, Yinchuan Li, Yushun Xu, Yijun Feng, Shangling Jui, Lizhuang Ma
2024	J	`jnl`	Device Activity Detection and Channel Estimation for Millimeter-Wave Massive MIMO. IEEE Trans. Commun. Yinchuan Li, Yuancheng Zhan, Le Zheng, Xiaodong Wang
2024	J	`jnl`	Does Combining Parameter-efficient Modules Improve Few-shot Transfer Accuracy? CoRR Nader Asadi, Mahdi Beitollahi, Yasser H. Khalil, Yinchuan Li, Guojun Zhang, Xi Chen
2024	J	`jnl`	MAP: Model Aggregation and Personalization in Federated Learning With Incomplete Classes. IEEE Trans. Knowl. Data Eng. Xin-Chun Li, Shaoming Song, Yinchuan Li, Bingshuai Li, Yunfeng Shao, Yang Yang, De-Chuan Zhan
2024	J	`jnl`	MAP: Model Aggregation and Personalization in Federated Learning with Incomplete Classes. CoRR Xin-Chun Li, Shaoming Song, Yinchuan Li, Bingshuai Li, Yunfeng Shao, Yang Yang, De-Chuan Zhan
2024	J	`jnl`	Meta Generative Flow Networks with personalization for task-specific adaptation. Inf. Sci. Xinyuan Ji, Xu Zhang, Wei Xi, Haozhi Wang, Olga Gadyatskaya, Yinchuan Li
2024	J	`jnl`	Multi-Agent Continuous Control with Generative Flow Networks. CoRR Shuang Luo, Yinchuan Li, Shunyu Liu, Xu Zhang, Yunfeng Shao, Chao Wu
2024	J	`jnl`	Multi-agent Continuous Control with Generative Flow Networks. Neural Networks Shuang Luo, Yinchuan Li, Shunyu Liu, Xu Zhang, Yunfeng Shao, Chao Wu
2024	J	`jnl`	Sparse Federated Learning With Hierarchical Personalization Models. IEEE Internet Things J. Xiaofeng Liu, Qing Wang, Yunfeng Shao, Yinchuan Li
2024	J	`jnl`	Sparse Personalized Federated Learning. IEEE Trans. Neural Networks Learn. Syst. Xiaofeng Liu, Yinchuan Li, Qing Wang, Xu Zhang, Yunfeng Shao, Yanhui Geng
2024	J	`jnl`	Structured Directional Pruning via Perturbation Orthogonal Projection. IEEE Trans. Signal Process. Xiaofeng Liu, Qing Wang, Yunfeng Shao, Yanhui Geng, Yinchuan Li
2024	J	`jnl`	Towards Effective Clustered Federated Learning: A Peer-to-Peer Framework With Adaptive Neighbor Matching. IEEE Trans. Big Data Zexi Li, Jiaxun Lu, Shuang Luo, Didi Zhu, Yunfeng Shao, Yinchuan Li, Zhimeng Zhang, Yongheng Wang, Chao Wu
2023	J	`jnl`	A Theory of Non-Acyclic Generative Flow Networks. CoRR Leo Maxime Brunswic, Yinchuan Li, Yushun Xu, Shangling Jui, Lizhuang Ma
2023	J	`jnl`	Bridging the Gap: Neural Collapse Inspired Prompt Tuning for Generalization under Class Imbalance. CoRR Didi Zhu, Yinchuan Li, Min Zhang, Junkun Yuan, Jiashuo Liu, Zexi Li, Kun Kuang, Chao Wu
2023	A*	`conf`	CFlowNets: Continuous Control with Generative Flow Networks. ICLR Yinchuan Li, Shuang Luo, Haozhi Wang, Jianye Hao
2023	J	`jnl`	CFlowNets: Continuous Control with Generative Flow Networks. CoRR Yinchuan Li, Shuang Luo, Haozhi Wang, Jianye Hao
2023	J	`jnl`	DAG Matters! GFlowNets Enhanced Explainer For Graph Neural Networks. CoRR Wenqian Li, Yinchuan Li, Zhigang Li, Jianye Hao, Yan Pang
2023	A*	`conf`	DAG Matters! GFlowNets Enhanced Explainer for Graph Neural Networks. ICLR Wenqian Li, Yinchuan Li, Zhigang Li, Jianye Hao, Yan Pang
2023	J	`jnl`	Federated Learning via Variational Bayesian Inference: Personalization, Sparsity and Clustering. CoRR Xu Zhang, Wenpeng Li, Yunfeng Shao, Yinchuan Li
2023	—	`conf`	GFlowNets with Human Feedback. Tiny Papers @ ICLR Yinchuan Li, Shuang Luo, Yunfeng Shao, Jianye Hao
2023	J	`jnl`	GFlowNets with Human Feedback. CoRR Yinchuan Li, Shuang Luo, Yunfeng Shao, Jianye Hao
2023	A*	`conf`	Generalized Universal Domain Adaptation with Generative Flow Networks. ACM Multimedia Didi Zhu, Yinchuan Li, Yunfeng Shao, Jianye Hao, Fei Wu, Kun Kuang, Jun Xiao, Chao Wu
2023	J	`jnl`	Generalized Universal Domain Adaptation with Generative Flow Networks. CoRR Didi Zhu, Yinchuan Li, Yunfeng Shao, Jianye Hao, Fei Wu, Kun Kuang, Jun Xiao, Chao Wu
2023	A*	`conf`	Generative Flow Networks for Precise Reward-Oriented Active Learning on Graphs. IJCAI Yinchuan Li, Zhigang Li, Wenqian Li, Yunfeng Shao, Yan Zheng, Jianye Hao
2023	J	`jnl`	Generative Flow Networks for Precise Reward-Oriented Active Learning on Graphs. CoRR Yinchuan Li, Zhigang Li, Wenqian Li, Yunfeng Shao, Yan Zheng, Jianye Hao
2023	—	`conf`	Large Sparse Kernels for Federated Learning. Tiny Papers @ ICLR Feilong Zhang, Yinchuan Li, Shiyi Lin, Yunfeng Shao, Junjun Jiang, Xianming Liu
2023	J	`jnl`	Meta Generative Flow Networks with Personalization for Task-Specific Adaptation. CoRR Xinyuan Ji, Xu Zhang, Wei Xi, Haozhi Wang, Olga Gadyatskaya, Yinchuan Li
2023	J	`jnl`	Multi-agent Policy Reciprocity with Theoretical Guarantee. CoRR Haozhi Wang, Yinchuan Li, Qing Wang, Yunfeng Shao, Jianye Hao
2023	—	`conf`	One Important Thing To Do Before Federated Training. Tiny Papers @ ICLR Yichu Xu, Wenqian Li, Yinchuan Li, Yunfeng Shao, Yan Pang, De-Chuan Zhan
2023	—	`conf`	Regularized Offline GFlowNets. Tiny Papers @ ICLR Haozhi Wang, Yunfeng Shao, Jianye Hao, Yinchuan Li
2023	A*	`conf`	Universal Domain Adaptation via Compressive Attention Matching. ICCV Didi Zhu, Yinchuan Li, Junkun Yuan, Zexi Li, Kun Kuang, Chao Wu
2023	J	`jnl`	Universal Domain Adaptation via Compressive Attention Matching. CoRR Didi Zhu, Yinchuan Li, Junkun Yuan, Zexi Li, Yunfeng Shao, Kun Kuang, Chao Wu
2022	A*	`conf`	Asymmetric Temperature Scaling Makes Larger Networks Teach Well Again. NeurIPS Xin-Chun Li, Wen-Shu Fan, Shaoming Song, Yinchuan Li, Bingshuai Li, Yunfeng Shao, De-Chuan Zhan
2022	J	`jnl`	Asymmetric Temperature Scaling Makes Larger Networks Teach Well Again. CoRR Xin-Chun Li, Wen-Shu Fan, Shaoming Song, Yinchuan Li, Bingshuai Li, Yunfeng Shao, De-Chuan Zhan
2022	A	`conf`	Avoid Overfitting User Specific Information in Federated Keyword Spotting. INTERSPEECH Xin-Chun Li, Jin-Lin Tang, Shaoming Song, Bingshuai Li, Yinchuan Li, Yunfeng Shao, Le Gan, De-Chuan Zhan
2022	J	`jnl`	Avoid Overfitting User Specific Information in Federated Keyword Spotting. CoRR Xin-Chun Li, Jin-Lin Tang, Shaoming Song, Bingshuai Li, Yinchuan Li, Yunfeng Shao, Le Gan, De-Chuan Zhan
2022	A*	`conf`	Federated Learning with Position-Aware Neurons. CVPR Xin-Chun Li, Yichu Xu, Shaoming Song, Bingshuai Li, Yinchuan Li, Yunfeng Shao, De-Chuan Zhan
2022	J	`jnl`	Federated Learning with Position-Aware Neurons. CoRR Xin-Chun Li, Yi-Chu Xu, Shaoming Song, Bingshuai Li, Yinchuan Li, Yunfeng Shao, De-Chuan Zhan
2022	J	`jnl`	GFlowCausal: Generative Flow Networks for Causal Discovery. CoRR Wenqian Li, Yinchuan Li, Shengyu Zhu, Yunfeng Shao, Jianye Hao, Yan Pang
2022	J	`jnl`	Mining Latent Relationships among Clients: Peer-to-peer Federated Learning with Adaptive Neighbor Matching. CoRR Zexi Li, Jiaxun Lu, Shuang Luo, Didi Zhu, Yunfeng Shao, Yinchuan Li, Zhimeng Zhang, Chao Wu
2022	J	`jnl`	On the Convergence Theory of Meta Reinforcement Learning with Personalized Policies. CoRR Haozhi Wang, Qing Wang, Yunfeng Shao, Dong Li, Jianye Hao, Yinchuan Li
2022	J	`jnl`	Parametric Translational Compensation for ISAR Imaging Based on Cascaded Subaperture Integration With Application to Asteroid Imaging. IEEE Trans. Geosci. Remote. Sens. Zegang Ding, Siyuan Liu, Yinchuan Li, Peng-Jie You, Xu Zhou
2022	A*	`conf`	Personalized Federated Learning via Variational Bayesian Inference. ICML Xu Zhang, Yinchuan Li, Wenpeng Li, Kaiyang Guo, Yunfeng Shao
2022	J	`jnl`	Personalized Federated Learning via Variational Bayesian Inference. CoRR Xu Zhang, Yinchuan Li, Wenpeng Li, Kaiyang Guo, Yunfeng Shao
2022	A*	`conf`	S2RL: Do We Really Need to Perceive All States in Deep Multi-Agent Reinforcement Learning? KDD Shuang Luo, Yinchuan Li, Jiahui Li, Kun Kuang, Furui Liu, Yunfeng Shao, Chao Wu
2022	J	`jnl`	S2RL: Do We Really Need to Perceive All States in Deep Multi-Agent Reinforcement Learning? CoRR Shuang Luo, Yinchuan Li, Jiahui Li, Kun Kuang, Furui Liu, Yunfeng Shao, Chao Wu
2022	J	`jnl`	Sparse Federated Learning with Hierarchical Personalization Models. CoRR Xiaofeng Liu, Yinchuan Li, Yunfeng Shao, Qing Wang
2022	J	`jnl`	Tensor Decomposition based Personalized Federated Learning. CoRR Qing Wang, Jing Jin, Xiaofeng Liu, Huixuan Zong, Yunfeng Shao, Yinchuan Li
2021	J	`jnl`	ADMM-Net for Communication Interference Removal in Stepped-Frequency Radar. IEEE Trans. Signal Process. Jeremy Johnston, Yinchuan Li, Marco Lops, Xiaodong Wang
2021	C	`conf`	Communication Reducing Quantization for Federated Learning with Local Differential Privacy Mechanism. ICCC Huixuan Zong, Qing Wang, Xiaofeng Liu, Yinchuan Li, Yunfeng Shao
2021	J	`jnl`	Personalized Federated Learning via Maximizing Correlation with Sparse and Hierarchical Extensions. CoRR Yinchuan Li, Xiaofeng Liu, Xu Zhang, Yunfeng Shao, Qing Wang, Yanhui Geng
2021	J	`jnl`	SAR Parametric Super-Resolution Image Reconstruction Methods Based on ADMM and Deep Neural Network. IEEE Trans. Geosci. Remote. Sens. Yangkai Wei, Yinchuan Li, Zegang Ding, Yan Wang, Tao Zeng, Teng Long
2021	J	`jnl`	Structured Directional Pruning via Perturbation Orthogonal Projection. CoRR Yinchuan Li, Xiaofeng Liu, Yunfeng Shao, Qing Wang, Yanhui Geng
2021	B	`conf`	Unfolded Deep Neural Network (UDNN) for High Mobility Channel Estimation. WCNC Yinchuan Li, Xiaodong Wang, Robert L. Olesen
2020	J	`jnl`	Multi-Angle SAR Sparse Image Reconstruction With Improved Attributed Scattering Model. IEEE Geosci. Remote. Sens. Lett. Yangkai Wei, Yinchuan Li, Xinliang Chen, Zegang Ding
2020	J	`jnl`	Multi-Target Position and Velocity Estimation Using OFDM Communication Signals. IEEE Trans. Commun. Yinchuan Li, Xiaodong Wang, Zegang Ding
2020	J	`jnl`	Multidimensional Spectral Super-Resolution With Prior Knowledge With Application to High Mobility Channel Estimation. IEEE J. Sel. Areas Commun. Yinchuan Li, Xiaodong Wang, Zegang Ding
2020	J	`jnl`	Near-Field Phase Cross Correlation Focusing Imaging and Parameter Estimation for Penetrating Radar. IEEE Trans. Geosci. Remote. Sens. Zegang Ding, Yinchuan Li, Wei Liu, Yin Xiang, Yikun Zhao, Haibo Liu, Tao Zeng, Teng Long
2020	J	`jnl`	Unfolded Deep Neural Network (UDNN) for High Mobility Channel Estimation. CoRR Yinchuan Li, Xiaodong Wang, Robert L. Olesen
2019	J	`jnl`	Compressive Multidimensional Harmonic Retrieval with Prior Knowledge. CoRR Yinchuan Li, Xu Zhang, Zegang Ding, Xiaodong Wang
2019	J	`jnl`	DP-LSTM: Differential Privacy-inspired LSTM for Stock Prediction Using Financial News. CoRR Xinyi Li, Yinchuan Li, Hongyang Yang, Liuqing Yang, Xiao-Yang Liu
2019	J	`jnl`	Interference Removal for Radar/Communication Co-Existence: The Random Scattering Case. IEEE Trans. Wirel. Commun. Yinchuan Li, Le Zheng, Marco Lops, Xiaodong Wang
2019	J	`jnl`	Interference Removal for Radar/Communication Co-existence: the Random Scattering Case. CoRR Yinchuan Li, Le Zheng, Marco Lops, Xiaodong Wang
2019	J	`jnl`	Multi-dimensional Spectral Super-Resolution with Prior Knowledge via Frequency-Selective Vandermonde Decomposition and ADMM. CoRR Yinchuan Li, Xiaodong Wang, Zegang Ding
2019	J	`jnl`	Multi-target Position and Velocity Estimation Using OFDM Communication Signals. CoRR Yinchuan Li, Xiaodong Wang, Zegang Ding
2019	—	`conf`	Price Prediction of Cryptocurrency: An Empirical Study. SmartBlock Liuqing Yang, Xiao-Yang Liu, Xinyi Li, Yinchuan Li
2019	J	`jnl`	Risk Management via Anomaly Circumvent: Mnemonic Deep Learning for Midterm Stock Prediction. CoRR Xinyi Li, Yinchuan Li, Xiao-Yang Liu, Christina Dan Wang
2019	J	`jnl`	Spectrum Recovery for Clutter Removal in Penetrating Radar Imaging. IEEE Trans. Geosci. Remote. Sens. Yinchuan Li, Xiaodong Wang, Zegang Ding, Xu Zhang, Yin Xiang, Xiaopeng Yang