Yong Liu - RankMe

510 papers A* 80A 33B 2C 7Misc 10Journal 335Unranked 43

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Automatic data-free pruning via channel similarity reconstruction. Neurocomputing Siqi Li, Jun Chen, Jingyang Xiang, Chengrui Zhu, Jiandang Yang, Xiaobin Wei, Yunliang Jiang, Yong Liu
2026	J	`jnl`	Corrigendum to "MA-FSAR: Multimodal Adaptation of CLIP for few-shot action recognition" [Pattern Recognition 169 (2026) 111902]. Pattern Recognit. Jiazheng Xing, Jian Zhao, Chao Xu, Mengmeng Wang, Guang Dai, Yong Liu, Jingdong Wang, Xuelong Li
2026	J	`jnl`	DiTS: Multimodal Diffusion Transformers Are Time Series Forecasters. CoRR Haoran Zhang, Haixuan Liu, Yong Liu, Yunzhong Qiu, Yuxuan Wang, Jianmin Wang, Mingsheng Long
2026	J	`jnl`	It's TIME: Towards the Next Generation of Time Series Forecasting Benchmarks. CoRR Zhongzheng Qiao, Sheng Pan, Anni Wang, Viktoriya Zhukova, Yong Liu, Xudong Jiang, Qingsong Wen, Mingsheng Long, Ming Jin, Chenghao Liu
2026	J	`jnl`	Knowledge is Power: Advancing Few-shot Action Recognition with Multimodal Semantics from MLLMs. CoRR Jiazheng Xing, Chao Xu, Hangjie Yuan, Mengmeng Wang, Jun Dan, Hangwei Qian, Yong Liu
2026	A*	`conf`	LLM-Oriented Token-Adaptive Knowledge Distillation. AAAI Xurong Xie, Zhucun Xue, Jiafu Wu, Jian Li, Yabiao Wang, Xiaobin Hu, Yong Liu, Jiangning Zhang
2026	J	`jnl`	Large-Scale Multidimensional Knowledge Profiling of Scientific Literature. CoRR Zhucun Xue, Jiangning Zhang, Juntao Jiang, Jinzhuo Liu, Haoyang He, Teng Hu, Xiaobin Hu, Guangming Yao, Yi Yuan, Yong Liu
2026	J	`jnl`	LeapVAD: A Leap in Autonomous Driving via Cognitive Perception and Dual-Process Thinking. IEEE Trans. Neural Networks Learn. Syst. Yukai Ma, Tiantian Wei, Naiting Zhong, Jianbiao Mei, Tao Hu, Licheng Wen, Xuemeng Yang, Botian Shi, Yong Liu
2026	J	`jnl`	M3CoTBench: Benchmark Chain-of-Thought of MLLMs in Medical Image Understanding. CoRR Juntao Jiang, Jiangning Zhang, Yali Bi, Jinsheng Bai, Weixuan Liu, Weiwei Jin, Zhucun Xue, Yong Liu, Xiaobin Hu, Shuicheng Yan
2026	J	`jnl`	MA-FSAR: Multimodal Adaptation of CLIP for few-shot action recognition. Pattern Recognit. Jiazheng Xing, Jian Zhao, Chao Xu, Mengmeng Wang, Guang Dai, Yong Liu, Jingdong Wang, Xuelong Li
2026	J	`jnl`	OOPS: Outlier-aware and quadratic programming based structured pruning for large language models. Neural Networks Jiateng Wei, Siqi Li, Jingyang Xiang, Jiandang Yang, Jun Chen, Xiaobin Wei, Yunliang Jiang, Yong Liu
2026	J	`jnl`	Parallel Complex Diffusion for Scalable Time Series Generation. CoRR Rongyao Cai, Yuxi Wan, Kexin Zhang, Ming Jin, Zhiqiang Ge, Qingsong Wen, Yong Liu
2026	J	`jnl`	Pro-HOI: Perceptive Root-guided Humanoid-Object Interaction. CoRR Yuhang Lin, Jiyuan Shi, Dewei Wang, Jipeng Kong, Yong Liu, Chenjia Bai, Xuelong Li
2026	J	`jnl`	SPIRAL: A Closed-Loop Framework for Self-Improving Action World Models via Reflective Planning Agents. CoRR Yu Yang, Yue Liao, Jianbiao Mei, Baisen Wang, Xuemeng Yang, Licheng Wen, Jiangning Zhang, Xiangtai Li, Hanlin Chen, Botian Shi, Yong Liu, Shuicheng Yan, Gim Hee Lee
2026	J	`jnl`	The Agent's First Day: Benchmarking Learning, Exploration, and Scheduling in the Workplace Scenarios. CoRR Daocheng Fu, Jianbiao Mei, Rong Wu, Xuemeng Yang, Jia Xu, Ding Wang, Pinlong Cai, Yong Liu, Licheng Wen, Botian Shi
2026	J	`jnl`	The Why Behind the Action: Unveiling Internal Drivers via Agentic Attribution. CoRR Chen Qian, Peng Wang, Dongrui Liu, Junyao Yang, Dadi Guo, Ling Tang, Jilin Mei, Qihan Ren, Shuai Shao, Yong Liu, Jie Fu, Jing Shao, Xia Hu
2026	J	`jnl`	UR-Bench: A Benchmark for Multi-Hop Reasoning over Ultra-High-Resolution Images. CoRR Siqi Li, Xinyu Cai, Jianbiao Mei, Nianchen Deng, Pinlong Cai, Licheng Wen, Yufan Shen, Xuemeng Yang, Botian Shi, Yong Liu
2026	J	`jnl`	VAE-REPA: Variational Autoencoder Representation Alignment for Efficient Diffusion Training. CoRR Mengmeng Wang, Dengyang Jiang, Liuzhuozheng Li, Yucheng Lin, Guojiang Shen, Xiangjie Kong, Yong Liu, Guang Dai, Jingdong Wang
2026	J	`jnl`	WLR: Well-conditioned linear reconstruction for retraining-free pruning of LLMs. Neural Networks Siqi Li, Jingyang Xiang, Jiateng Wei, Chengrui Zhu, Jiandang Yang, Jun Chen, Jian Yang, Xiaobin Wei, Yunliang Jiang, Yong Liu
2025	A*	`conf`	Action Detail Matters: Refining Video Recognition with Local Action Queries. CVPR Mengmeng Wang, Zeyi Huang, Xiangjie Kong, Guojiang Shen, Guang Dai, Jingdong Wang, Yong Liu
2025	J	`jnl`	ActionCLIP: Adapting Language-Image Pretrained Models for Video Action Recognition. IEEE Trans. Neural Networks Learn. Syst. Mengmeng Wang, Jiazheng Xing, Jianbiao Mei, Yong Liu, Yunliang Jiang
2025	J	`jnl`	AdaVideoRAG: Omni-Contextual Adaptive Retrieval-Augmented Efficient Long Video Understanding. CoRR Zhucun Xue, Jiangning Zhang, Xurong Xie, Yuxuan Cai, Yong Liu, Xiangtai Li, Dacheng Tao
2025	J	`jnl`	Adding Before Pruning: Sparse Filter Fusion for Deep Convolutional Neural Networks via Auxiliary Attention. IEEE Trans. Neural Networks Learn. Syst. Guanzhong Tian, Yiran Sun, Yuang Liu, Xianfang Zeng, Mengmeng Wang, Yong Liu, Jiangning Zhang, Jun Chen
2025	J	`jnl`	Adversarial Multimodal Contrastive Learning for Robust Industrial Fault Diagnosis. IEEE Trans. Instrum. Meas. Rongyao Cai, Kexin Zhang, Hanchen Tai, Yang Zhou, Yuanyuan Ding, Chunlin Zhou, Yong Liu
2025	Misc	`conf`	CFSum: A Transformer-Based Multi-Modal Video Summarization Framework With Coarse-Fine Fusion. ICASSP Yaowei Guo, Jiazheng Xing, Xiaojun Hou, Shuo Xin, Juntao Jiang, Demetri Terzopoulos, Chenfanfu Jiang, Yong Liu
2025	J	`jnl`	CFSum: A Transformer-Based Multi-Modal Video Summarization Framework With Coarse-Fine Fusion. CoRR Yaowei Guo, Jiazheng Xing, Xiaojun Hou, Shuo Xin, Juntao Jiang, Demetri Terzopoulos, Chenfanfu Jiang, Yong Liu
2025	A*	`conf`	CogDDN: A Cognitive Demand-Driven Navigation with Decision Optimization and Dual-Process Thinking. ACM Multimedia Yuehao Huang, Liang Liu, Shuangming Lei, Yukai Ma, Hao Su, Jianbiao Mei, Pengxiang Zhao, Yaqing Gu, Yong Liu, Jiajun Lv
2025	J	`jnl`	CogDDN: A Cognitive Demand-Driven Navigation with Decision Optimization and Dual-Process Thinking. CoRR Yuehao Huang, Liang Liu, Shuangming Lei, Yukai Ma, Hao Su, Jianbiao Mei, Pengxiang Zhao, Yaqing Gu, Yong Liu, Jiajun Lv
2025	J	`jnl`	DQFormer: Toward Unified LiDAR Panoptic Segmentation With Decoupled Queries for Large-Scale Outdoor Scenes. IEEE Trans. Geosci. Remote. Sens. Yu Yang, Jianbiao Mei, Siliang Du, Yilin Xiao, Huifeng Wu, Xiao Xu, Yong Liu
2025	J	`jnl`	Decentralized Optimization on Compact Submanifolds by Quantized Riemannian Gradient Tracking. CoRR Jun Chen, Lina Liu, Tianyi Zhu, Yong Liu, Guang Dai, Yunliang Jiang, Ivor W. Tsang
2025	J	`jnl`	Decentralized Optimization on Compact Submanifolds by Quantized Riemannian Gradient Tracking. IEEE Trans. Signal Process. Jun Chen, Lina Liu, Tianyi Zhu, Yong Liu, Guang Dai, Yunliang Jiang, Ivor W. Tsang
2025	—	`conf`	Deep Learning-based ENT Endoscopy Image Classification: A Technical Report for ENTRep 2025 Challenge. BIBM Juntao Jiang, Peilin Han, Yali Bi, Chunlin Zhou, Yong Liu, Jiangning Zhang
2025	A*	`conf`	Driving in the Occupancy World: Vision-Centric 4D Occupancy Forecasting and Planning via World Models for Autonomous Driving. AAAI Yu Yang, Jianbiao Mei, Yukai Ma, Siliang Du, Wenqing Chen, Yijie Qian, Yuxiang Feng, Yong Liu
2025	A*	`conf`	DynaMind: Reasoning over Abstract Video Dynamics for Embodied Decision-Making. ICML Ziru Wang, Mengmeng Wang, Jade Dai, Teli Ma, Guo-Jun Qi, Yong Liu, Guang Dai, Jingdong Wang
2025	J	`jnl`	EMOv2: Pushing 5M Vision Model Frontier. IEEE Trans. Pattern Anal. Mach. Intell. Jiangning Zhang, Teng Hu, Haoyang He, Zhucun Xue, Yabiao Wang, Chengjie Wang, Yong Liu, Xiangtai Li, Dacheng Tao
2025	J	`jnl`	Efficient Multi-Robot Task and Path Planning in Large-Scale Cluttered Environments. IEEE Robotics Autom. Lett. Gang Xu, Yuchen Wu, Sheng Tao, Yifan Yang, Tao Liu, Tao Huang, Huifeng Wu, Yong Liu
2025	J	`jnl`	Exploring plain ViT features for multi-class unsupervised visual anomaly detection. Comput. Vis. Image Underst. Jiangning Zhang, Xuhai Chen, Yabiao Wang, Chengjie Wang, Yong Liu, Xiangtai Li, Ming-Hsuan Yang, Dacheng Tao
2025	J	`jnl`	FLARE: Fast Large-Scale Autonomous Exploration Guided by Unknown Regions. IEEE Robotics Autom. Lett. Xinyang Liu, Min Lin, Shengbo Li, Gang Xu, Zhifang Wang, Huifeng Wu, Yong Liu
2025	J	`jnl`	GDI-Bench: A Benchmark for General Document Intelligence with Vision and Reasoning Decoupling. CoRR Siqi Li, Yufan Shen, Xiangnan Chen, Jiayi Chen, Hengwei Ju, Haodong Duan, Song Mao, Hongbin Zhou, Bo Zhang, Bin Fu, Pinlong Cai, Licheng Wen, Botian Shi, Yong Liu, Xinyu Cai, Yu Qiao
2025	J	`jnl`	Gaussian-LIC2: LiDAR-Inertial-Camera Gaussian Splatting SLAM. CoRR Xiaolei Lang, Jiajun Lv, Kai Tang, Laijian Li, Jianxin Huang, Lina Liu, Yong Liu, Xingxing Zuo
2025	A*	`conf`	Gaussian-LIC: Real-Time Photo-Realistic SLAM with Gaussian Splatting and LiDAR-Inertial-Camera Fusion. ICRA Xiaolei Lang, Laijian Li, Chenming Wu, Chen Zhao, Lina Liu, Yong Liu, Jiajun Lv, Xingxing Zuo
2025	A*	`conf`	GroundingFace: Fine-grained Face Understanding via Pixel Grounding Multimodal Large Language Model. CVPR Yue Han, Jiangning Zhang, Junwei Zhu, Runze Hou, Xiaozhong Ji, Chuming Lin, Xiaobin Hu, Zhucun Xue, Yong Liu
2025	A*	`conf`	Hash-GS: Anchor-Based 3D Gaussian Splatting with Multi-Resolution Hash Encoding for Efficient Scene Reconstruction. ICRA Yijia Xie, Yuhang Lin, Laijian Li, Lina Liu, Xiaobin Wei, Yong Liu, Jiajun Lv
2025	J	`jnl`	Hyperbolic Binary Neural Network. CoRR Jun Chen, Jingyang Xiang, Tianxin Huang, Xiangrui Zhao, Yong Liu
2025	J	`jnl`	Hyperbolic Binary Neural Network. IEEE Trans. Neural Networks Learn. Syst. Jun Chen, Jingyang Xiang, Tianxin Huang, Xiangrui Zhao, Yong Liu
2025	J	`jnl`	IVEBench: Modern Benchmark Suite for Instruction-Guided Video Editing Assessment. CoRR Yinan Chen, Jiangning Zhang, Teng Hu, Yuxiang Zeng, Zhucun Xue, Qingdong He, Chengjie Wang, Yong Liu, Xiaobin Hu, Shuicheng Yan
2025	A	`conf`	KGN-Pro: Keypoint-Based Grasp Prediction through Probabilistic 2D-3D Correspondence Learning. IROS Bingran Chen, Baorun Li, Jian Yang, Yong Liu, Guangyao Zhai
2025	A	`conf`	L2COcc: Lightweight Camera-Centric Semantic Scene Completion via Distillation of LiDAR Model. IROS Ruoyu Wang, Yukai Ma, Yi Yao, Sheng Tao, Haoang Li, Zongzhi Zhu, Yong Liu, Xingxing Zuo
2025	J	`jnl`	L2COcc: Lightweight Camera-Centric Semantic Scene Completion via Distillation of LiDAR Model. CoRR Ruoyu Wang, Yukai Ma, Yi Yao, Sheng Tao, Haoang Li, Zongzhi Zhu, Yong Liu, Xingxing Zuo
2025	A	`conf`	L2Calib: SE (3)-Manifold Reinforcement Learning for Robust Extrinsic Calibration with Degenerate Motion Resilience. IROS Baorun Li, Chengrui Zhu, Siyi Du, Bingran Chen, Jie Ren, Wenfei Wang, Yong Liu, Jiajun Lv
2025	J	`jnl`	L2Calib: SE(3)-Manifold Reinforcement Learning for Robust Extrinsic Calibration with Degenerate Motion Resilience. CoRR Baorun Li, Chengrui Zhu, Siyi Du, Bingran Chen, Jie Ren, Wenfei Wang, Yong Liu, Jiajun Lv
2025	J	`jnl`	LeapVAD: A Leap in Autonomous Driving via Cognitive Perception and Dual-Process Thinking. CoRR Yukai Ma, Tiantian Wei, Naiting Zhong, Jianbiao Mei, Tao Hu, Licheng Wen, Xuemeng Yang, Botian Shi, Yong Liu
2025	J	`jnl`	Learning to Model Diverse Driving Behaviors in Highly Interactive Autonomous Driving Scenarios With Multiagent Reinforcement Learning. IEEE Syst. J. Weiwei Liu, Wenxuan Hu, Wei Jing, Lanxin Lei, Lingping Gao, Yong Liu
2025	J	`jnl`	LiCROcc: Teach Radar for Accurate Semantic Occupancy Prediction Using LiDAR and Camera. IEEE Robotics Autom. Lett. Yukai Ma, Jianbiao Mei, Xuemeng Yang, Licheng Wen, Weihua Xu, Jiangning Zhang, Xingxing Zuo, Botian Shi, Yong Liu
2025	J	`jnl`	MCMC: Multi-Constrained Model Compression via One-Stage Envelope Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. Siqi Li, Jun Chen, Shanqi Liu, Chengrui Zhu, Guanzhong Tian, Yong Liu
2025	J	`jnl`	Message Passing Period-Aware Imputation Network for Spatial-Temporal Traffic Missing Data. IEEE Trans. Intell. Transp. Syst. Yunliang Jiang, Yuanqing Tang, Xiongtao Zhang, Jungang Lou, Yong Liu, Zhen Yang
2025	J	`jnl`	O CoRR Jianbiao Mei, Tao Hu, Daocheng Fu, Licheng Wen, Xuemeng Yang, Rong Wu, Pinlong Cai, Xinyu Cai, Xing Gao, Yu Yang, Chengjun Xie, Botian Shi, Yong Liu, Yu Qiao
2025	Misc	`conf`	OARecon: Object-Aware Viewpoint Augmentation for Indoor Compositional Reconstruction. ICASSP Yuanyuan Ding, Yiming Fei, Jiandang Yang, Xiaobin Wei, Jiajun Lv, Yong Liu
2025	J	`jnl`	OnSort: An O(n) Comparison-Free Sorter for Large-Scale Dataset With Parallel Prefetching and Sparse-Aware Mechanism. IEEE Trans. Circuits Syst. II Express Briefs Muxuan Gao, Juntao Jiang, Shuangming Lei, Huifeng Wu, Jun Chen, Yong Liu
2025	J	`jnl`	RE-Searcher: Robust Agentic Search with Goal-oriented Planning and Self-reflection. CoRR Daocheng Fu, Jianbiao Mei, Licheng Wen, Xuemeng Yang, Cheng Yang, Rong Wu, Tao Hu, Siqi Li, Yufan Shen, Xinyu Cai, Pinlong Cai, Botian Shi, Yong Liu, Yu Qiao
2025	J	`jnl`	RWKV-UNet: Improving UNet with Long-Range Cooperation for Effective Medical Image Segmentation. CoRR Juntao Jiang, Jiangning Zhang, Weixuan Liu, Muxuan Gao, Xiaobin Hu, Xiaoxiao Yan, Feiyue Huang, Yong Liu
2025	A*	`conf`	Sundial: A Family of Highly Capable Time Series Foundation Models. ICML Yong Liu, Guo Qin, Zhiyuan Shi, Zhi Chen, Caiyin Yang, Xiangdong Huang, Jianmin Wang, Mingsheng Long
2025	J	`jnl`	Sundial: A Family of Highly Capable Time Series Foundation Models. CoRR Yong Liu, Guo Qin, Zhiyuan Shi, Zhi Chen, Caiyin Yang, Xiangdong Huang, Jianmin Wang, Mingsheng Long
2025	J	`jnl`	TR-Gaussians: High-fidelity Real-time Rendering of Planar Transmission and Reflection with 3D Gaussian Splatting. CoRR Yong Liu, Keyang Ye, Tianjia Shao, Kun Zhou
2025	J	`jnl`	Think Before You Move: Latent Motion Reasoning for Text-to-Motion Generation. CoRR Yijie Qian, Juncheng Wang, Yuxiang Feng, Chao Xu, Wang Lu, Yang Liu, Baigui Sun, Yiqiang Chen, Yong Liu, Shujun Wang
2025	A*	`conf`	Timer-XL: Long-Context Transformers for Unified Time Series Forecasting. ICLR Yong Liu, Guo Qin, Xiangdong Huang, Jianmin Wang, Mingsheng Long
2025	A*	`conf`	TimesBERT: A BERT-Style Foundation Model for Time Series Understanding. ACM Multimedia Haoran Zhang, Yong Liu, Yunzhong Qiu, Haixuan Liu, Zhongyi Pei, Jianmin Wang, Mingsheng Long
2025	J	`jnl`	TimesBERT: A BERT-Style Foundation Model for Time Series Understanding. CoRR Haoran Zhang, Yong Liu, Yunzhong Qiu, Haixuan Liu, Zhongyi Pei, Jianmin Wang, Mingsheng Long
2025	J	`jnl`	TryOn-Adapter: Efficient Fine-Grained Clothing Identity Adaptation for High-Fidelity Virtual Try-On. Int. J. Comput. Vis. Jiazheng Xing, Chao Xu, Yijie Qian, Yang Liu, Guang Dai, Baigui Sun, Yong Liu, Jingdong Wang
2025	J	`jnl`	UltraLBM-UNet: Ultralight Bidirectional Mamba-based Model for Skin Lesion Segmentation. CoRR Linxuan Fan, Juntao Jiang, Weixuan Liu, Zhucun Xue, Jiajun Lv, Jiangning Zhang, Yong Liu
2025	J	`jnl`	UltraVideo: High-Quality UHD Video Dataset with Comprehensive Captions. CoRR Zhucun Xue, Jiangning Zhang, Teng Hu, Haoyang He, Yinan Chen, Yuxuan Cai, Yabiao Wang, Chengjie Wang, Yong Liu, Xiangtai Li, Dacheng Tao
2025	J	`jnl`	UniFace++: Revisiting a Unified Framework for Face Reenactment and Swapping via 3D Priors. Int. J. Comput. Vis. Chao Xu, Yijie Qian, Shaoting Zhu, Baigui Sun, Jian Zhao, Yong Liu, Xuelong Li
2025	J	`jnl`	Vision-Centric 4D Occupancy Forecasting and Planning via Implicit Residual World Models. CoRR Jianbiao Mei, Yu Yang, Xuemeng Yang, Licheng Wen, Jiajun Lv, Botian Shi, Yong Liu
2025	J	`jnl`	WeMMU: Enhanced Bridging of Vision-Language Models and Diffusion Models via Noisy Query Tokens. CoRR Jian Yang, Dacheng Yin, Xiaoxuan He, Yong Liu, Fengyun Rao, Jing Lyu, Wei Zhai, Yang Cao, Zheng-Jun Zha
2025	J	`jnl`	X-Scene: Large-Scale Driving Scene Generation with High Fidelity and Flexible Controllability. CoRR Yu Yang, Alan Liang, Jianbiao Mei, Yukai Ma, Yong Liu, Gim Hee Lee
2024	A*	`conf`	A Coarse-to-Fine Place Recognition Approach using Attention-guided Descriptors and Overlap Estimation. ICRA Chencan Fu, Lin Li, Jianbiao Mei, Yukai Ma, Linpeng Peng, Xiangrui Zhao, Yong Liu
2024	J	`jnl`	A Distributed Pipeline for Collaborative Pursuit in the Target Guarding Problem. IEEE Robotics Autom. Lett. Yansong Chen, Yuchen Wu, Helei Yang, Junjie Cao, Qinqin Wang, Yong Liu
2024	J	`jnl`	A Generalist FaceX via Learning Unified Facial Representation. CoRR Yue Han, Jiangning Zhang, Junwei Zhu, Xiangtai Li, Yanhao Ge, Wei Li, Chengjie Wang, Yong Liu, Xiaoming Liu, Ying Tai
2024	A*	`conf`	A Multimodal, Multi-Task Adapting Framework for Video Action Recognition. AAAI Mengmeng Wang, Jiazheng Xing, Boyuan Jiang, Jun Chen, Jianbiao Mei, Xingxing Zuo, Guang Dai, Jingdong Wang, Yong Liu
2024	A	`conf`	A Robotic-centric Paradigm for 3D Human Tracking Under Complex Environments Using Multi-modal Adaptation. IROS Shuo Xin, Zhen Zhang, Liang Liu, Xiaojun Hou, Deye Zhu, Mengmeng Wang, Yong Liu
2024	J	`jnl`	AGDF-Net: Learning Domain Generalizable Depth Features With Adaptive Guidance Fusion. IEEE Trans. Pattern Anal. Mach. Intell. Lina Liu, Xibin Song, Mengmeng Wang, Yuchao Dai, Yong Liu, Liangjun Zhang
2024	J	`jnl`	AutoDFP: Automatic Data-Free Pruning via Channel Similarity Reconstruction. CoRR Siqi Li, Jun Chen, Jingyang Xiang, Chengrui Zhu, Yong Liu
2024	A*	`conf`	AutoTimes: Autoregressive Time Series Forecasters via Large Language Models. NeurIPS Yong Liu, Guo Qin, Xiangdong Huang, Jianmin Wang, Mingsheng Long
2024	J	`jnl`	AutoTimes: Autoregressive Time Series Forecasters via Large Language Models. CoRR Yong Liu, Guo Qin, Xiangdong Huang, Jianmin Wang, Mingsheng Long
2024	J	`jnl`	Camera-Based 3D Semantic Scene Completion With Sparse Guidance Network. IEEE Trans. Image Process. Jianbiao Mei, Yu Yang, Mengmeng Wang, Junyu Zhu, Jongwon Ra, Yukai Ma, Laijian Li, Yong Liu
2024	A*	`conf`	Continuously Learning, Adapting, and Improving: A Dual-Process Approach to Autonomous Driving. NeurIPS Jianbiao Mei, Yukai Ma, Xuemeng Yang, Licheng Wen, Xinyu Cai, Xin Li, Daocheng Fu, Bo Zhang, Pinlong Cai, Min Dou, Botian Shi, Liang He, Yong Liu, Yu Qiao
2024	J	`jnl`	Continuously Learning, Adapting, and Improving: A Dual-Process Approach to Autonomous Driving. CoRR Jianbiao Mei, Yukai Ma, Xuemeng Yang, Licheng Wen, Xinyu Cai, Xin Li, Daocheng Fu, Bo Zhang, Pinlong Cai, Min Dou, Botian Shi, Liang He, Yong Liu, Yu Qiao
2024	J	`jnl`	DCCD: Reducing Neural Network Redundancy via Distillation. IEEE Trans. Neural Networks Learn. Syst. Yuang Liu, Jun Chen, Yong Liu
2024	Misc	`conf`	DCS: Debiased Contrastive Learning with Weak Supervision for Time Series Classification. ICASSP Rongyao Cai, Linpeng Peng, Zhengming Lu, Kexin Zhang, Yong Liu
2024	J	`jnl`	DQFormer: Towards Unified LiDAR Panoptic Segmentation with Decoupled Queries. CoRR Yu Yang, Jianbiao Mei, Liang Liu, Siliang Du, Yilin Xiao, Jongwon Ra, Yong Liu, Xiao Xu, Huifeng Wu
2024	J	`jnl`	Debiased Contrastive Learning With Supervision Guidance for Industrial Fault Detection. IEEE Trans. Ind. Informatics Rongyao Cai, Wang Gao, Linpeng Peng, Zhengming Lu, Kexin Zhang, Yong Liu
2024	J	`jnl`	Debiased Contrastive Learning for Time-Series Representation Learning and Fault Detection. IEEE Trans. Ind. Informatics Kexin Zhang, Rongyao Cai, Chunlin Zhou, Yong Liu
2024	A*	`conf`	Decentralized Riemannian Conjugate Gradient Method on the Stiefel Manifold. ICLR Jun Chen, Haishan Ye, Mengmeng Wang, Tianxin Huang, Guang Dai, Ivor W. Tsang, Yong Liu
2024	J	`jnl`	Deep Time Series Models: A Comprehensive Survey and Benchmark. CoRR Yuxuan Wang, Haixu Wu, Jiaxiang Dong, Yong Liu, Mingsheng Long, Jianmin Wang
2024	J	`jnl`	Distributed Multi-Vehicle Task Assignment and Motion Planning in Dense Environments. IEEE Trans Autom. Sci. Eng. Gang Xu, Xiao Kang, Helei Yang, Yuchen Wu, Weiwei Liu, Junjie Cao, Yong Liu
2024	J	`jnl`	DreamForge: Motion-Aware Autoregressive Video Generation for Multi-View Driving Scenes. CoRR Jianbiao Mei, Yukai Ma, Xuemeng Yang, Licheng Wen, Tiantian Wei, Min Dou, Botian Shi, Yong Liu
2024	J	`jnl`	DreamSalon: A Staged Diffusion Framework for Preserving Identity-Context in Editable Face Generation. CoRR Haonan Lin, Mengmeng Wang, Yan Chen, Wenbin An, Yuzhe Yao, Guang Dai, Qianying Wang, Yong Liu, Jingdong Wang
2024	J	`jnl`	DriveArena: A Closed-loop Generative Simulation Platform for Autonomous Driving. CoRR Xuemeng Yang, Licheng Wen, Yukai Ma, Jianbiao Mei, Xin Li, Tiantian Wei, Wenjie Lei, Daocheng Fu, Pinlong Cai, Min Dou, Botian Shi, Liang He, Yong Liu, Yu Qiao
2024	J	`jnl`	Driving in the Occupancy World: Vision-Centric 4D Occupancy Forecasting and Planning via World Models for Autonomous Driving. CoRR Yu Yang, Jianbiao Mei, Yukai Ma, Siliang Du, Wenqing Chen, Yijie Qian, Yuxiang Feng, Yong Liu
2024	J	`jnl`	DynamicControl: Adaptive Condition Selection for Improved Text-to-Image Generation. CoRR Qingdong He, Jinlong Peng, Pengcheng Xu, Boyuan Jiang, Xiaobin Hu, Donghao Luo, Yong Liu, Yabiao Wang, Chengjie Wang, Xiangtai Li, Jiangning Zhang
2024	J	`jnl`	EATFormer: Improving Vision Transformer Inspired by Evolutionary Algorithm. Int. J. Comput. Vis. Jiangning Zhang, Xiangtai Li, Yabiao Wang, Chengjie Wang, Yibo Yang, Yong Liu, Dacheng Tao
2024	—	`conf`	Exploit Spatiotemporal Contextual Information for 3D Single Object Tracking via Memory Networks. 3DV Jongwon Ra, Mengmeng Wang, Jianbiao Mei, Shanqi Liu, Yu Yang, Yong Liu
2024	J	`jnl`	FMCW Radar on LiDAR map localization in structural urban environments. J. Field Robotics Yukai Ma, Han Li, Xiangrui Zhao, Yaqing Gu, Xiaolei Lang, Laijian Li, Yong Liu
2024	J	`jnl`	Face Adapter for Pre-Trained Diffusion Models with Fine-Grained ID and Attribute Control. CoRR Yue Han, Junwei Zhu, Keke He, Xu Chen, Yanhao Ge, Wei Li, Xiangtai Li, Jiangning Zhang, Chengjie Wang, Yong Liu
2024	—	`conf`	Face-Adapter for Pre-trained Diffusion Models with Fine-Grained ID and Attribute Control. ECCV (50) Yue Han, Junwei Zhu, Keke He, Xu Chen, Yanhao Ge, Wei Li, Xiangtai Li, Jiangning Zhang, Chengjie Wang, Yong Liu
2024	J	`jnl`	Gaussian-LIC: Photo-realistic LiDAR-Inertial-Camera SLAM with 3D Gaussian Splatting. CoRR Xiaolei Lang, Laijian Li, Hang Zhang, Feng Xiong, Mu Xu, Yong Liu, Xingxing Zuo, Jiajun Lv
2024	A	`conf`	Hierarchical Search-Based Cooperative Motion Planning. IROS Yuchen Wu, Yifan Yang, Gang Xu, Junjie Cao, Yansong Chen, Licheng Wen, Yong Liu
2024	J	`jnl`	Hierarchical Search-Based Cooperative Motion Planning. CoRR Yuchen Wu, Yifan Yang, Gang Xu, Junjie Cao, Yansong Chen, Licheng Wen, Yong Liu
2024	—	`conf`	LV-UNet: A Lightweight and Vanilla Model for Medical Image Segmentation. BIBM Juntao Jiang, Mengmeng Wang, Huizhong Tian, Lingbo Cheng, Yong Liu
2024	J	`jnl`	LV-UNet: A Lightweight and Vanilla Model for Medical Image Segmentation. CoRR Juntao Jiang, Mengmeng Wang, Huizhong Tian, Lingbo Cheng, Yong Liu
2024	J	`jnl`	Learnable Chamfer Distance for point cloud reconstruction. Pattern Recognit. Lett. Tianxin Huang, Qingyao Liu, Xiangrui Zhao, Jun Chen, Yong Liu
2024	J	`jnl`	Learning Discretized Neural Networks under Ricci Flow. J. Mach. Learn. Res. Jun Chen, Hanwen Chen, Mengmeng Wang, Guang Dai, Ivor W. Tsang, Yong Liu
2024	J	`jnl`	Learning Feature Inversion for Multi-class Anomaly Detection under General-purpose COCO-AD Benchmark. CoRR Jiangning Zhang, Chengjie Wang, Xiangtai Li, Guanzhong Tian, Zhucun Xue, Yong Liu, Guansong Pang, Dacheng Tao
2024	J	`jnl`	Learning Multi-Agent Cooperation via Considering Actions of Teammates. IEEE Trans. Neural Networks Learn. Syst. Shanqi Liu, Weiwei Liu, Wenzhou Chen, Guanzhong Tian, Jun Chen, Yao Tong, Junjie Cao, Yong Liu
2024	A	`conf`	Learning Safe Locomotion for Quadrupedal Robots by Derived-Action Optimization. IROS Deye Zhu, Chengrui Zhu, Zhen Zhang, Shuo Xin, Yong Liu
2024	J	`jnl`	Learning spatiotemporal relationships with a unified framework for video object segmentation. Appl. Intell. Jianbiao Mei, Mengmeng Wang, Yu Yang, Zizhang Li, Yong Liu
2024	J	`jnl`	Learning to Model Diverse Driving Behaviors in Highly Interactive Autonomous Driving Scenarios with Multi-Agent Reinforcement Learning. CoRR Weiwei Liu, Wenxuan Hu, Wei Jing, Lanxin Lei, Lingping Gao, Yong Liu
2024	J	`jnl`	LiCROcc: Teach Radar for Accurate Semantic Occupancy Prediction using LiDAR and Camera. CoRR Yukai Ma, Jianbiao Mei, Xuemeng Yang, Licheng Wen, Weihua Xu, Jiangning Zhang, Botian Shi, Yong Liu, Xingxing Zuo
2024	J	`jnl`	LiDAR video object segmentation with dynamic kernel refinement. Pattern Recognit. Lett. Jianbiao Mei, Yu Yang, Mengmeng Wang, Zizhang Li, Jongwon Ra, Yong Liu
2024	J	`jnl`	LiteGrasp: A Light Robotic Grasp Detection via Semi-Supervised Knowledge Distillation. IEEE Robotics Autom. Lett. Linpeng Peng, Rongyao Cai, Jingyang Xiang, Junyu Zhu, Weiwei Liu, Wang Gao, Yong Liu
2024	J	`jnl`	M2-CLIP: A Multimodal, Multi-task Adapting Framework for Video Action Recognition. CoRR Mengmeng Wang, Jiazheng Xing, Boyuan Jiang, Jun Chen, Jianbiao Mei, Xingxing Zuo, Guang Dai, Jingdong Wang, Yong Liu
2024	J	`jnl`	MIMAFace: Face Animation via Motion-Identity Modulated Appearance Feature Learning. CoRR Yue Han, Junwei Zhu, Yuxiang Feng, Xiaozhong Ji, Keke He, Xiangtai Li, Zhucun Xue, Yong Liu
2024	A*	`conf`	MambaGesture: Enhancing Co-Speech Gesture Generation with Mamba and Disentangled Multi-Modality Fusion. ACM Multimedia Chencan Fu, Yabiao Wang, Jiangning Zhang, Zhengkai Jiang, Xiaofeng Mao, Jiafu Wu, Weijian Cao, Chengjie Wang, Yanhao Ge, Yong Liu
2024	J	`jnl`	MambaGesture: Enhancing Co-Speech Gesture Generation with Mamba and Disentangled Multi-Modality Fusion. CoRR Chencan Fu, Yabiao Wang, Jiangning Zhang, Zhengkai Jiang, Xiaofeng Mao, Jiafu Wu, Weijian Cao, Chengjie Wang, Yanhao Ge, Yong Liu
2024	A*	`conf`	MaxQ: Multi-Axis Query for N: m Sparsity Network. CVPR Jingyang Xiang, Siqi Li, Junhao Chen, Zhuangzhi Chen, Tianxin Huang, Linpeng Peng, Yong Liu
2024	A	`conf`	Monocular Event-Inertial Odometry with Adaptive decay-based Time Surface and Polarity-aware Tracking. IROS Kai Tang, Xiaolei Lang, Yukai Ma, Yuehao Huang, Laijian Li, Yong Liu, Jiajun Lv
2024	J	`jnl`	Monocular Event-Inertial Odometry with Adaptive decay-based Time Surface and Polarity-aware Tracking. CoRR Kai Tang, Xiaolei Lang, Yukai Ma, Yuehao Huang, Laijian Li, Yong Liu, Jiajun Lv
2024	A*	`conf`	Multi-modal 3D Human Tracking for Robots in Complex Environment with Siamese Point-Video Transformer. ICRA Shuo Xin, Zhen Zhang, Mengmeng Wang, Xiaojun Hou, Yaowei Guo, Xiao Kang, Liang Liu, Yong Liu
2024	J	`jnl`	Open-Vocabulary SAM3D: Understand Any 3D Scene. CoRR Hanchen Tai, Qingdong He, Jiangning Zhang, Yijie Qian, Zhenyu Zhang, Xiaobin Hu, Yabiao Wang, Yong Liu
2024	—	`conf`	OvSW: Overcoming Silent Weights for Accurate Binary Neural Networks. ECCV (33) Jingyang Xiang, Zuohui Chen, Siqi Li, Qing Wu, Yong Liu
2024	J	`jnl`	OvSW: Overcoming Silent Weights for Accurate Binary Neural Networks. CoRR Jingyang Xiang, Zuohui Chen, Siqi Li, Qing Wu, Yong Liu
2024	A*	`conf`	Paint3D: Paint Anything 3D With Lighting-Less Texture Diffusion Models. CVPR Xianfang Zeng, Xin Chen, Zhongqi Qi, Wen Liu, Zibo Zhao, Zhibin Wang, Bin Fu, Yong Liu, Gang Yu
2024	J	`jnl`	RIDERS: Radar-Infrared Depth Estimation for Robust Sensing. CoRR Han Li, Yukai Ma, Yuehao Huang, Yaqing Gu, Weihua Xu, Yong Liu, Xingxing Zuo
2024	J	`jnl`	RIDERS: Radar-Infrared Depth Estimation for Robust Sensing. IEEE Trans. Intell. Transp. Syst. Han Li, Yukai Ma, Yuehao Huang, Yaqing Gu, Weihua Xu, Yong Liu, Xingxing Zuo
2024	—	`conf`	RTG-SLAM: Real-time 3D Reconstruction at Scale using Gaussian Splatting. SIGGRAPH (Conference Paper Track) Zhexi Peng, Tianjia Shao, Yong Liu, Jingke Zhou, Yin Yang, Jingdong Wang, Kun Zhou
2024	J	`jnl`	RTG-SLAM: Real-time 3D Reconstruction at Scale using Gaussian Splatting. CoRR Zhexi Peng, Tianjia Shao, Yong Liu, Jingke Zhou, Yin Yang, Jingdong Wang, Kun Zhou
2024	A*	`conf`	RadarCam-Depth: Radar-Camera Fusion for Depth Estimation with Learned Metric Scale. ICRA Han Li, Yukai Ma, Yaqing Gu, Kewei Hu, Yong Liu, Xingxing Zuo
2024	J	`jnl`	RadarCam-Depth: Radar-Camera Fusion for Depth Estimation with Learned Metric Scale. CoRR Han Li, Yukai Ma, Yaqing Gu, Kewei Hu, Yong Liu, Xingxing Zuo
2024	J	`jnl`	Reference Twice: A Simple and Unified Baseline for Few-Shot Instance Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. Yue Han, Jiangning Zhang, Yabiao Wang, Chengjie Wang, Yong Liu, Lu Qi, Ming-Hsuan Yang, Xiangtai Li
2024	A*	`conf`	SDSTrack: Self-Distillation Symmetric Adapter Learning for Multi-Modal Visual Object Tracking. CVPR Xiaojun Hou, Jiazheng Xing, Yijie Qian, Yaowei Guo, Shuo Xin, Junhao Chen, Kai Tang, Mengmeng Wang, Zhengkai Jiang, Liang Liu, Yong Liu
2024	J	`jnl`	SDSTrack: Self-Distillation Symmetric Adapter Learning for Multi-Modal Visual Object Tracking. CoRR Xiaojun Hou, Jiazheng Xing, Yijie Qian, Yaowei Guo, Shuo Xin, Junhao Chen, Kai Tang, Mengmeng Wang, Zhengkai Jiang, Liang Liu, Yong Liu
2024	A*	`conf`	Schedule Your Edit: A Simple yet Effective Diffusion Noise Schedule for Image Editing. NeurIPS Haonan Lin, Yan Chen, Jiahao Wang, Wenbin An, Mengmeng Wang, Feng Tian, Yong Liu, Guang Dai, Jingdong Wang, Qianying Wang
2024	J	`jnl`	Schedule Your Edit: A Simple yet Effective Diffusion Noise Schedule for Image Editing. CoRR Haonan Lin, Mengmeng Wang, Jiahao Wang, Wenbin An, Yan Chen, Yong Liu, Feng Tian, Guang Dai, Jingdong Wang, Qianying Wang
2024	J	`jnl`	Selective policy transfer in multi-agent systems with sparse interactions. Knowl. Based Syst. Yunkai Zhuang, Yong Liu, Shangdong Yang, Yang Gao
2024	J	`jnl`	Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects. IEEE Trans. Pattern Anal. Mach. Intell. Kexin Zhang, Qingsong Wen, Chaoli Zhang, Rongyao Cai, Ming Jin, Yong Liu, James Y. Zhang, Yuxuan Liang, Guansong Pang, Dongjin Song, Shirui Pan
2024	J	`jnl`	Self-supervised Event-based Monocular Depth Estimation using Cross-modal Consistency. CoRR Junyu Zhu, Lina Liu, Bofeng Jiang, Feng Wen, Hongbo Zhang, Wanlong Li, Yong Liu
2024	A*	`conf`	Semi-Supervised Learning for Visual Bird's Eye View Semantic Segmentation. ICRA Junyu Zhu, Lina Liu, Yu Tang, Feng Wen, Wanlong Li, Yong Liu
2024	Misc	`conf`	Skip-Step Contrastive Predictive Coding for Time Series Anomaly Detection. ICASSP Kexin Zhang, Qingsong Wen, Chaoli Zhang, Liang Sun, Yong Liu
2024	A*	`conf`	Structured Optimal Brain Pruning for Large Language Models. EMNLP Jiateng Wei, Quan Lu, Ning Jiang, Siqi Li, Jingyang Xiang, Jun Chen, Yong Liu
2024	J	`jnl`	Temporal and Interactive Modeling for Efficient Human-Human Motion Generation. CoRR Yabiao Wang, Shuo Wang, Jiangning Zhang, Ke Fan, Jiafu Wu, Zhengkai Jiang, Yong Liu
2024	J	`jnl`	The Better Angels of Machine Personality: How Personality Relates to LLM Safety. CoRR Jie Zhang, Dongrui Liu, Chen Qian, Ziyue Gan, Yong Liu, Yu Qiao, Jing Shao
2024	A*	`conf`	TimeXer: Empowering Transformers for Time Series Forecasting with Exogenous Variables. NeurIPS Yuxuan Wang, Haixu Wu, Jiaxiang Dong, Guo Qin, Haoran Zhang, Yong Liu, Yunzhong Qiu, Jianmin Wang, Mingsheng Long
2024	J	`jnl`	TimeXer: Empowering Transformers for Time Series Forecasting with Exogenous Variables. CoRR Yuxuan Wang, Haixu Wu, Jiaxiang Dong, Yong Liu, Yunzhong Qiu, Haoran Zhang, Jianmin Wang, Mingsheng Long
2024	J	`jnl`	Timer-XL: Long-Context Transformers for Unified Time Series Forecasting. CoRR Yong Liu, Guo Qin, Xiangdong Huang, Jianmin Wang, Mingsheng Long
2024	A*	`conf`	Timer: Generative Pre-trained Transformers Are Large Time Series Models. ICML Yong Liu, Haoran Zhang, Chenyu Li, Xiangdong Huang, Jianmin Wang, Mingsheng Long
2024	J	`jnl`	Timer: Transformers for Time Series Analysis at Scale. CoRR Yong Liu, Haoran Zhang, Chenyu Li, Xiangdong Huang, Jianmin Wang, Mingsheng Long
2024	—	`conf`	Timestep-Aware Correction for Quantized Diffusion Models. ECCV (66) Yuzhe Yao, Feng Tian, Jun Chen, Haonan Lin, Guang Dai, Yong Liu, Jingdong Wang
2024	J	`jnl`	Timestep-Aware Correction for Quantized Diffusion Models. CoRR Yuzhe Yao, Feng Tian, Jun Chen, Haonan Lin, Guang Dai, Yong Liu, Jingdong Wang
2024	—	`conf`	Towards Tracing Trustworthiness Dynamics: Revisiting Pre-training Period of Large Language Models. ACL (Findings) Chen Qian, Jie Zhang, Wei Yao, Dongrui Liu, Zhenfei Yin, Yu Qiao, Yong Liu, Jing Shao
2024	J	`jnl`	Towards Tracing Trustworthiness Dynamics: Revisiting Pre-training Period of Large Language Models. CoRR Chen Qian, Jie Zhang, Wei Yao, Dongrui Liu, Zhenfei Yin, Yu Qiao, Yong Liu, Jing Shao
2024	J	`jnl`	TryOn-Adapter: Efficient Fine-Grained Clothing Identity Adaptation for High-Fidelity Virtual Try-On. CoRR Jiazheng Xing, Chao Xu, Yijie Qian, Yang Liu, Guang Dai, Baigui Sun, Yong Liu, Jingdong Wang
2024	J	`jnl`	Visual Object Tracking across Diverse Data Modalities: A Review. CoRR Mengmeng Wang, Teli Ma, Shuo Xin, Xiaojun Hou, Jiazheng Xing, Guang Dai, Jingdong Wang, Yong Liu
2024	J	`jnl`	Visual-Based Kinematics and Pose Estimation for Skid-Steering Robots. IEEE Trans Autom. Sci. Eng. Xingxing Zuo, Mingming Zhang, Mengmeng Wang, Yiming Chen, Guoquan Huang, Yong Liu, Mingyang Li
2024	A*	`conf`	iTransformer: Inverted Transformers Are Effective for Time Series Forecasting. ICLR Yong Liu, Tengge Hu, Haoran Zhang, Haixu Wu, Shiyu Wang, Lintao Ma, Mingsheng Long
2023	J	`jnl`	A Compact Upconversion Single-Photon Imager for Full-Range and Accurate 3-D Imaging. IEEE Trans. Instrum. Meas. Yiwei Chen, Chen Jiang, Yong Liu, Hongye Su, Xiaomin Hu, Yu Pan
2023	J	`jnl`	A USV-UAV Cooperative Trajectory Planning Algorithm with Hull Dynamic Constraints. Sensors Tao Huang, Zhe Chen, Wang Gao, Zhenfeng Xue, Yong Liu
2023	A*	`conf`	A Unified BEV Model for Joint Learning of 3D Local Features and Overlap Estimation. ICRA Lin Li, Wendong Ding, Yongkun Wen, Yufei Liang, Yong Liu, Guowei Wan
2023	J	`jnl`	ASN: action semantics network for multiagent reinforcement learning. Auton. Agents Multi Agent Syst. Tianpei Yang, Weixun Wang, Jianye Hao, Matthew E. Taylor, Yong Liu, Xiaotian Hao, Yujing Hu, Yingfeng Chen, Changjie Fan, Chunxu Ren, Ye Huang, Jiangcheng Zhu, Yang Gao
2023	J	`jnl`	Adaptive Recurrent Forward Network for Dense Point Cloud Completion. IEEE Trans. Multim. Tianxin Huang, Hao Zou, Jinhao Cui, Jiangning Zhang, Xuemeng Yang, Lin Li, Yong Liu
2023	A	`conf`	Adaptive Value Decomposition with Greedy Marginal Contribution Computation for Cooperative Multi-Agent Reinforcement Learning. AAMAS Shanqi Liu, Yujing Hu, Runze Wu, Dong Xing, Yu Xiong, Changjie Fan, Kun Kuang, Yong Liu
2023	J	`jnl`	Adaptive Value Decomposition with Greedy Marginal Contribution Computation for Cooperative Multi-Agent Reinforcement Learning. CoRR Shanqi Liu, Yujing Hu, Runze Wu, Dong Xing, Yu Xiong, Changjie Fan, Kun Kuang, Yong Liu
2023	J	`jnl`	BSNet: Lane Detection via Draw B-spline Curves Nearby. CoRR Haoxin Chen, Mengmeng Wang, Yong Liu
2023	A*	`conf`	Better "CMOS" Produces Clearer Images: Learning Space-Variant Blur Estimation for Blind Image Super-Resolution. CVPR Xuhai Chen, Jiangning Zhang, Chao Xu, Yabiao Wang, Chengjie Wang, Yong Liu
2023	J	`jnl`	Better "CMOS" Produces Clearer Images: Learning Space-Variant Blur Estimation for Blind Image Super-Resolution. CoRR Xuhai Chen, Jiangning Zhang, Chao Xu, Yabiao Wang, Chengjie Wang, Yong Liu
2023	A*	`conf`	Boosting Few-shot Action Recognition with Graph-guided Hybrid Matching. ICCV Jiazheng Xing, Mengmeng Wang, Yudi Ruan, Bofan Chen, Yaowei Guo, Boyu Mu, Guang Dai, Jingdong Wang, Yong Liu
2023	J	`jnl`	Boosting Few-shot Action Recognition with Graph-guided Hybrid Matching. CoRR Jiazheng Xing, Mengmeng Wang, Yudi Ruan, Bofan Chen, Yaowei Guo, Boyu Mu, Guang Dai, Jingdong Wang, Yong Liu
2023	J	`jnl`	CLIP-AD: A Language-Guided Staged Dual-Path Model for Zero-shot Anomaly Detection. CoRR Xuhai Chen, Jiangning Zhang, Guanzhong Tian, Haoyang He, Wuhao Zhang, Yabiao Wang, Chengjie Wang, Yunsheng Wu, Yong Liu
2023	J	`jnl`	CR-SFP: Learning Consistent Representation for Soft Filter Pruning. CoRR Jingyang Xiang, Zhuangzhi Chen, Jianbiao Mei, Siqi Li, Jun Chen, Yong Liu
2023	J	`jnl`	Camera-based 3D Semantic Scene Completion with Sparse Guidance Network. CoRR Jianbiao Mei, Yu Yang, Mengmeng Wang, Junyu Zhu, Xiangrui Zhao, Jongwon Ra, Laijian Li, Yong Liu
2023	A*	`conf`	CenterLPS: Segment Instances by Centers for LiDAR Panoptic Segmentation. ACM Multimedia Jianbiao Mei, Yu Yang, Mengmeng Wang, Zizhang Li, Xiaojun Hou, Jongwon Ra, Laijian Li, Yong Liu
2023	J	`jnl`	Coco-LIC: Continuous-Time Tightly-Coupled LiDAR-Inertial-Camera Odometry Using Non-Uniform B-Spline. IEEE Robotics Autom. Lett. Xiaolei Lang, Chao Chen, Kai Tang, Yukai Ma, Jiajun Lv, Yong Liu, Xingxing Zuo
2023	J	`jnl`	Coco-LIC: Continuous-Time Tightly-Coupled LiDAR-Inertial-Camera Odometry using Non-Uniform B-spline. CoRR Xiaolei Lang, Chao Chen, Kai Tang, Yukai Ma, Jiajun Lv, Yong Liu, Xingxing Zuo
2023	J	`jnl`	Continuous-Time Fixed-Lag Smoothing for LiDAR-Inertial-Camera SLAM. CoRR Jiajun Lv, Xiaolei Lang, Jinhong Xu, Mengmeng Wang, Yong Liu, Xingxing Zuo
2023	—	`conf`	Correlation Pyramid Network for 3D Single Object Tracking. CVPR Workshops Mengmeng Wang, Teli Ma, Xingxing Zuo, Jiajun Lv, Yong Liu
2023	J	`jnl`	Correlation Pyramid Network for 3D Single Object Tracking. CoRR Mengmeng Wang, Teli Ma, Xingxing Zuo, Jiajun Lv, Yong Liu
2023	J	`jnl`	Correlation-based and content-enhanced network for video style transfer. Pattern Anal. Appl. Honglin Lin, Mengmeng Wang, Yong Liu, Jiaxin Kou
2023	J	`jnl`	Data-Free Quantization via Mixed-Precision Compensation without Fine-Tuning. CoRR Jun Chen, Shipeng Bai, Tianxin Huang, Mengmeng Wang, Guanzhong Tian, Yong Liu
2023	J	`jnl`	Data-free quantization via mixed-precision compensation without fine-tuning. Pattern Recognit. Jun Chen, Shipeng Bai, Tianxin Huang, Mengmeng Wang, Guanzhong Tian, Yong Liu
2023	J	`jnl`	Decentralized Riemannian Conjugate Gradient Method on the Stiefel Manifold. CoRR Jun Chen, Haishan Ye, Mengmeng Wang, Tianxin Huang, Guang Dai, Ivor W. Tsang, Yong Liu
2023	J	`jnl`	Decomposing shared networks for separate cooperation with multi-agent reinforcement learning. Inf. Sci. Weiwei Liu, Linpeng Peng, Licheng Wen, Jian Yang, Yong Liu
2023	J	`jnl`	Efficient Intelligence with Applications in Embedded Sensing. Sensors Xingxing Zuo, Yong Liu
2023	—	`conf`	Efficient Trajectory Planning and Control for USV with Vessel Dynamics and Differential Flatness. AIM Tao Huang, Zhenfeng Xue, Zhe Chen, Yong Liu
2023	J	`jnl`	Expert demonstrations guide reward decomposition for multi-agent cooperation. Neural Comput. Appl. Weiwei Liu, Jing Wei, Shanqi Liu, Yudi Ruan, Kexin Zhang, Yang Jiang, Yong Liu
2023	J	`jnl`	Exploiting semantic-level affinities with a mask-guided network for temporal action proposal in videos. Appl. Intell. Yu Yang, Mengmeng Wang, Jianbiao Mei, Yong Liu
2023	J	`jnl`	Exploring Grounding Potential of VQA-oriented GPT-4V for Zero-shot Anomaly Detection. CoRR Jiangning Zhang, Xuhai Chen, Zhucun Xue, Yabiao Wang, Chengjie Wang, Yong Liu
2023	J	`jnl`	Exploring Plain ViT Reconstruction for Multi-class Unsupervised Anomaly Detection. CoRR Jiangning Zhang, Xuhai Chen, Yabiao Wang, Chengjie Wang, Yong Liu, Xiangtai Li, Ming-Hsuan Yang, Dacheng Tao
2023	A*	`conf`	FG-Depth: Flow-Guided Unsupervised Monocular Depth Estimation. ICRA Junyu Zhu, Lina Liu, Yong Liu, Wanlong Li, Feng Wen, Hongbo Zhang
2023	J	`jnl`	FG-Depth: Flow-Guided Unsupervised Monocular Depth Estimation. CoRR Junyu Zhu, Lina Liu, Yong Liu, Wanlong Li, Feng Wen, Hongbo Zhang
2023	J	`jnl`	Fast Real-Time Video Object Segmentation with a Tangled Memory Network. ACM Trans. Intell. Syst. Technol. Jianbiao Mei, Mengmeng Wang, Yu Yang, Yanjun Li, Yong Liu
2023	J	`jnl`	Geo-Localization With Transformer-Based 2D-3D Match Network. IEEE Robotics Autom. Lett. Laijian Li, Yukai Ma, Kai Tang, Xiangrui Zhao, Chao Chen, Jianxin Huang, Jianbiao Mei, Yong Liu
2023	J	`jnl`	Hierarchical supervisions with two-stream network for Deepfake detection. Pattern Recognit. Lett. Yufei Liang, Mengmeng Wang, Yining Jin, Shuwen Pan, Yong Liu
2023	A*	`conf`	High-Fidelity Generalized Emotional Talking Face Generation with Multi-Modal Emotion Space Learning. CVPR Chao Xu, Junwei Zhu, Jiangning Zhang, Yue Han, Wenqing Chu, Ying Tai, Chengjie Wang, Zhifeng Xie, Yong Liu
2023	J	`jnl`	High-fidelity Generalized Emotional Talking Face Generation with Multi-modal Emotion Space Learning. CoRR Chao Xu, Junwei Zhu, Jiangning Zhang, Yue Han, Wenqing Chu, Ying Tai, Chengjie Wang, Zhifeng Xie, Yong Liu
2023	J	`jnl`	Improving dynamic gesture recognition in untrimmed videos by an online lightweight framework and a new gesture dataset ZJUGesture. Neurocomputing Chao Xu, Xia Wu, Mengmeng Wang, Feng Qiu, Yong Liu, Jun Ren
2023	A*	`conf`	Koopa: Learning Non-stationary Time Series Dynamics with Koopman Predictors. NeurIPS Yong Liu, Chenyu Li, Jianmin Wang, Mingsheng Long
2023	J	`jnl`	Koopa: Learning Non-stationary Time Series Dynamics with Koopman Predictors. CoRR Yong Liu, Chenyu Li, Jianmin Wang, Mingsheng Long
2023	A	`conf`	Large Scale Pursuit-Evasion Under Collision Avoidance Using Deep Reinforcement Learning. IROS Helei Yang, Peng Ge, Junjie Cao, Yifan Yang, Yong Liu
2023	J	`jnl`	Learnable Chamfer Distance for Point Cloud Reconstruction. CoRR Tianxin Huang, Qingyao Liu, Xiangrui Zhao, Jun Chen, Yong Liu
2023	J	`jnl`	Learning Discretized Neural Networks under Ricci Flow. CoRR Jun Chen, Hanwen Chen, Mengmeng Wang, Yong Liu
2023	A*	`conf`	Learning Global-aware Kernel for Image Harmonization. ICCV Xintian Shen, Jiangning Zhang, Jun Chen, Shipeng Bai, Yue Han, Yabiao Wang, Chengjie Wang, Yong Liu
2023	J	`jnl`	Learning Global-aware Kernel for Image Harmonization. CoRR Xintian Shen, Jiangning Zhang, Jun Chen, Shipeng Bai, Yue Han, Yabiao Wang, Chengjie Wang, Yong Liu
2023	J	`jnl`	Learning SpatioTemporal and Motion Features in a Unified 2D Network for Action Recognition. IEEE Trans. Pattern Anal. Mach. Intell. Mengmeng Wang, Jiazheng Xing, Jing Su, Jun Chen, Yong Liu
2023	A*	`conf`	Learning to Measure the Point Cloud Reconstruction Loss in a Representation Space. CVPR Tianxin Huang, Zhonggan Ding, Jiangning Zhang, Ying Tai, Zhenyu Zhang, Mingang Chen, Chengjie Wang, Yong Liu
2023	—	`conf`	Learning-Based Trajectory Tracking Control of USV Based on Multi-Source Data. ROBIO Haoming Long, Zhenfeng Xue, Tao Huang, Yong Liu
2023	A	`conf`	LiDAR-Inertial SLAM with Efficiently Extracted Planes. IROS Chao Chen, Hangyu Wu, Yukai Ma, Jiajun Lv, Laijian Li, Yong Liu
2023	J	`jnl`	MFF-Net: Towards Efficient Monocular Depth Completion With Multi-Modal Feature Fusion. IEEE Robotics Autom. Lett. Lina Liu, Xibin Song, Jiadai Sun, Xiaoyang Lyu, Lin Li, Yong Liu, Liangjun Zhang
2023	J	`jnl`	Mask-guided image person removal with data synthesis. IET Image Process. Yunliang Jiang, Chenyang Gu, Zhenfeng Xue, Xiongtao Zhang, Yong Liu
2023	J	`jnl`	MaxQ: Multi-Axis Query for N: M Sparsity Network. CoRR Jingyang Xiang, Siqi Li, Junhao Chen, Zhuangzhi Chen, Tianxin Huang, Linpeng Peng, Yong Liu
2023	J	`jnl`	Multi-Agent Cooperation via Unsupervised Learning of Joint Intentions. CoRR Shanqi Liu, Weiwei Liu, Wenzhou Chen, Guanzhong Tian, Yong Liu
2023	J	`jnl`	Multi-Dimension Compression of Feed-Forward Network in Vision Transformers. Pattern Recognit. Lett. Shipeng Bai, Jun Chen, Yu Yang, Yong Liu
2023	J	`jnl`	Multimodal Adaptation of CLIP for Few-Shot Action Recognition. CoRR Jiazheng Xing, Mengmeng Wang, Xiaojun Hou, Guang Dai, Jingdong Wang, Yong Liu
2023	J	`jnl`	Multimodal-driven Talking Face Generation via a Unified Diffusion-based Generator. CoRR Chao Xu, Shaoting Zhu, Junwei Zhu, Tianxin Huang, Jiangning Zhang, Ying Tai, Yong Liu
2023	J	`jnl`	OL-SLAM: A Robust and Versatile System of Object Localization and SLAM. Sensors Chao Chen, Yukai Ma, Jiajun Lv, Xiangrui Zhao, Laijian Li, Yong Liu, Wang Gao
2023	J	`jnl`	Omni-Frequency Channel-Selection Representations for Unsupervised Anomaly Detection. IEEE Trans. Image Process. Yufei Liang, Jiangning Zhang, Shiwei Zhao, Runze Wu, Yong Liu, Shuwen Pan
2023	J	`jnl`	OverlapNetVLAD: A Coarse-to-Fine Framework for LiDAR-based Place Recognition. CoRR Chencan Fu, Lin Li, Linpeng Peng, Yukai Ma, Xiangrui Zhao, Yong Liu
2023	A	`conf`	PANet: LiDAR Panoptic Segmentation with Sparse Instance Proposal and Aggregation. IROS Jianbiao Mei, Yu Yang, Mengmeng Wang, Xiaojun Hou, Laijian Li, Yong Liu
2023	J	`jnl`	PANet: LiDAR Panoptic Segmentation with Sparse Instance Proposal and Aggregation. CoRR Jianbiao Mei, Yu Yang, Mengmeng Wang, Xiaojun Hou, Laijian Li, Yong Liu
2023	J	`jnl`	Paint3D: Paint Anything 3D with Lighting-Less Texture Diffusion Models. CoRR Xianfang Zeng, Xin Chen, Zhongqi Qi, Wen Liu, Zibo Zhao, Zhibin Wang, Bin Fu, Yong Liu, Gang Yu
2023	J	`jnl`	Pse: mixed quantization framework of neural networks for efficient deployment. J. Real Time Image Process. Yingqing Yang, Guanzhong Tian, Mingyuan Liu, Yihao Chen, Jun Chen, Yong Liu, Yu Pan, Longhua Ma
2023	A*	`conf`	RICO: Regularizing the Unobservable for Indoor Compositional Reconstruction. ICCV Zizhang Li, Xiaoyang Lyu, Yuanyuan Ding, Mengmeng Wang, Yiyi Liao, Yong Liu
2023	J	`jnl`	RICO: Regularizing the Unobservable for Indoor Compositional Reconstruction. CoRR Zizhang Li, Xiaoyang Lyu, Yuanyuan Ding, Mengmeng Wang, Yiyi Liao, Yong Liu
2023	J	`jnl`	Reference Twice: A Simple and Unified Baseline for Few-Shot Instance Segmentation. CoRR Yue Han, Jiangning Zhang, Zhucun Xue, Chao Xu, Xintian Shen, Yabiao Wang, Chengjie Wang, Yong Liu, Xiangtai Li
2023	A*	`conf`	Revisiting the Spatial and Temporal Modeling for Few-Shot Action Recognition. AAAI Jiazheng Xing, Mengmeng Wang, Yong Liu, Boyu Mu
2023	J	`jnl`	Revisiting the Spatial and Temporal Modeling for Few-shot Action Recognition. CoRR Jiazheng Xing, Mengmeng Wang, Boyu Mu, Yong Liu
2023	A*	`conf`	RoLM: Radar on LiDAR Map Localization. ICRA Yukai Ma, Xiangrui Zhao, Han Li, Yaqing Gu, Xiaolei Lang, Yong Liu
2023	A	`conf`	SSC-RS: Elevate LiDAR Semantic Scene Completion with Representation Separation and BEV Fusion. IROS Jianbiao Mei, Yu Yang, Mengmeng Wang, Tianxin Huang, Xuemeng Yang, Yong Liu
2023	J	`jnl`	SSC-RS: Elevate LiDAR Semantic Scene Completion with Representation Separation and BEV Fusion. CoRR Jianbiao Mei, Yu Yang, Mengmeng Wang, Tianxin Huang, Xuemeng Yang, Yong Liu
2023	J	`jnl`	SUBP: Soft Uniform Block Pruning for 1xN Sparse CNNs Multithreading Acceleration. CoRR Jingyang Xiang, Siqi Li, Jun Chen, Shipeng Bai, Yukai Ma, Guang Dai, Yong Liu
2023	A*	`conf`	SUBP: Soft Uniform Block Pruning for 1×N Sparse CNNs Multithreading Acceleration. NeurIPS Jingyang Xiang, Siqi Li, Jun Chen, Guang Dai, Shipeng Bai, Yukai Ma, Yong Liu
2023	A	`conf`	Self-Supervised Event-Based Monocular Depth Estimation Using Cross-Modal Consistency. IROS Junyu Zhu, Lina Liu, Bofeng Jiang, Feng Wen, Hongbo Zhang, Wanlong Li, Yong Liu
2023	J	`jnl`	Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects. CoRR Kexin Zhang, Qingsong Wen, Chaoli Zhang, Rongyao Cai, Ming Jin, Yong Liu, James Zhang, Yuxuan Liang, Guansong Pang, Dongjin Song, Shirui Pan
2023	J	`jnl`	Semi-Supervised Learning for Visual Bird's Eye View Semantic Segmentation. CoRR Junyu Zhu, Lina Liu, Yu Tang, Feng Wen, Wanlong Li, Yong Liu
2023	A*	`conf`	Shunted Collision Avoidance for Multi-UAV Motion Planning with Posture Constraints. ICRA Gang Xu, Deye Zhu, Junjie Cao, Yong Liu, Jian Yang
2023	J	`jnl`	Single-shot pruning and quantization for hardware-friendly neural network acceleration. Eng. Appl. Artif. Intell. Bofeng Jiang, Jun Chen, Yong Liu
2023	A*	`conf`	Synchronize Feature Extracting and Matching: A Single Branch Framework for 3D Object Tracking. ICCV Teli Ma, Mengmeng Wang, Jimin Xiao, Huifeng Wu, Yong Liu
2023	J	`jnl`	Synchronize Feature Extracting and Matching: A Single Branch Framework for 3D Object Tracking. CoRR Teli Ma, Mengmeng Wang, Jimin Xiao, Huifeng Wu, Yong Liu
2023	A*	`conf`	TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis. ICLR Haixu Wu, Tengge Hu, Yong Liu, Hang Zhou, Jianmin Wang, Mingsheng Long
2023	J	`jnl`	Towards Knowledge-driven Autonomous Driving. CoRR Xin Li, Yeqi Bai, Pinlong Cai, Licheng Wen, Daocheng Fu, Bo Zhang, Xuemeng Yang, Xinyu Cai, Tao Ma, Jianfei Guo, Xing Gao, Min Dou, Yikang Li, Botian Shi, Yong Liu, Liang He, Yu Qiao
2023	Misc	`conf`	TraCo: Learning Virtual Traffic Coordinator for Cooperation with Multi-Agent Reinforcement Learning. CoRL Weiwei Liu, Wei Jing, Lingping Gao, Ke Guo, Gang Xu, Yong Liu
2023	A*	`conf`	Unified Data-Free Compression: Pruning and Quantization without Fine-Tuning. ICCV Shipeng Bai, Jun Chen, Xintian Shen, Yixuan Qian, Yong Liu
2023	J	`jnl`	Unified Data-Free Compression: Pruning and Quantization without Fine-Tuning. CoRR Shipeng Bai, Jun Chen, Xintian Shen, Yixuan Qian, Yong Liu
2023	A	`conf`	VDBblox: Accurate and Efficient Distance Fields for Path Planning and Mesh Reconstruction. IROS Yinlong Bai, Zhiqiang Miao, Xiangke Wang, Yong Liu, Hesheng Wang, Yaonan Wang
2023	—	`conf`	ViG-UNet: Vision Graph Neural Networks for Medical Image Segmentation. ISBI Juntao Jiang, Xiyu Chen, Guanzhong Tian, Yong Liu
2023	J	`jnl`	ViG-UNet: Vision Graph Neural Networks for Medical Image Segmentation. CoRR Juntao Jiang, Xiyu Chen, Guanzhong Tian, Yong Liu
2023	J	`jnl`	iTransformer: Inverted Transformers Are Effective for Time Series Forecasting. CoRR Yong Liu, Tengge Hu, Haoran Zhang, Haixu Wu, Shiyu Wang, Lintao Ma, Mingsheng Long
2022	J	`jnl`	3QNet: 3D Point Cloud Geometry Quantization Compression Network. ACM Trans. Graph. Tianxin Huang, Jiangning Zhang, Jun Chen, Zhonggan Ding, Ying Tai, Zhenyu Zhang, Chengjie Wang, Yong Liu
2022	A	`conf`	CICC: Channel Pruning via the Concentration of Information and Contributions of Channels. BMVC Yihao Chen, Zhishan Li, Yingqing Yang, Lei Xie, Yong Liu, Longhua Ma, Shanqi Liu, Guanzhong Tian
2022	J	`jnl`	CL-MAPF: Multi-Agent Path Finding for Car-Like robots with kinematic and spatiotemporal constraints. Robotics Auton. Syst. Licheng Wen, Yong Liu, Hongliang Li
2022	J	`jnl`	Cooperative trajectory planning algorithm of USV-UAV with hull dynamic constraints. CoRR Tao Huang, Zhe Chen, Zhenfeng Xue, Zhuo Chen, Yong Liu
2022	J	`jnl`	Ctrl-VIO: Continuous-Time Visual-Inertial Odometry for Rolling Shutter Cameras. CoRR Xiaolei Lang, Jiajun Lv, Jianxin Huang, Yukai Ma, Yong Liu, Xingxing Zuo
2022	J	`jnl`	Ctrl-VIO: Continuous-Time Visual-Inertial Odometry for Rolling Shutter Cameras. IEEE Robotics Autom. Lett. Xiaolei Lang, Jiajun Lv, Jianxin Huang, Yukai Ma, Yong Liu, Xingxing Zuo
2022	J	`jnl`	DA CoRR Guangyao Zhai, Yu Zheng, Ziwei Xu, Xin Kong, Yong Liu, Benjamin Busam, Yi Ren, Nassir Navab, Zhengyou Zhang
2022	J	`jnl`	DA$^{2}$ Dataset: Toward Dexterity-Aware Dual-Arm Grasping. IEEE Robotics Autom. Lett. Guangyao Zhai, Yu Zheng, Ziwei Xu, Xin Kong, Yong Liu, Benjamin Busam, Yi Ren, Nassir Navab, Zhengyou Zhang
2022	J	`jnl`	Deep Domain Adversarial Adaptation for Photon-efficient Imaging Based on Spatiotemporal Inception Network. CoRR Yiwei Chen, Gongxin Yao, Yong Liu, Yu Pan
2022	J	`jnl`	Deep Graph Gaussian Processes for Short-Term Traffic Flow Forecasting From Spatiotemporal Data. IEEE Trans. Intell. Transp. Syst. Yunliang Jiang, Jinbin Fan, Yong Liu, Xiongtao Zhang
2022	J	`jnl`	Deep Residual Surrogate Model. Inf. Sci. Tianxin Huang, Yong Liu, Zaisheng Pan
2022	J	`jnl`	Delving Deeper Into Mask Utilization in Video Object Segmentation. IEEE Trans. Image Process. Mengmeng Wang, Jianbiao Mei, Lina Liu, Guanzhong Tian, Yong Liu, Zaisheng Pan
2022	—	`conf`	Designing One Unified Framework for High-Fidelity Face Reenactment and Swapping. ECCV (15) Chao Xu, Jiangning Zhang, Yue Han, Guanzhong Tian, Xianfang Zeng, Ying Tai, Yabiao Wang, Chengjie Wang, Yong Liu
2022	—	`conf`	E-NeRV: Expedite Neural Video Representation with Disentangled Spatial-Temporal Context. ECCV (35) Zizhang Li, Mengmeng Wang, Huaijin Pi, Kechun Xu, Jianbiao Mei, Yong Liu
2022	J	`jnl`	E-NeRV: Expedite Neural Video Representation with Disentangled Spatial-Temporal Context. CoRR Zizhang Li, Mengmeng Wang, Huaijin Pi, Kechun Xu, Jianbiao Mei, Yong Liu
2022	J	`jnl`	EATFormer: Improving Vision Transformer Inspired by Evolutionary Algorithm. CoRR Jiangning Zhang, Xiangtai Li, Yabiao Wang, Chengjie Wang, Yibo Yang, Yong Liu, Dacheng Tao
2022	J	`jnl`	Efficient Trajectory Planning and Control for USV with Vessel Dynamics and Differential Flatness. CoRR Tao Huang, Zhenfeng Xue, Zhe Chen, Yong Liu
2022	J	`jnl`	Exemplar-Based Image Colorization with A Learning Framework. CoRR Zhenfeng Xue, Jiandang Yang, Jie Ren, Yong Liu
2022	J	`jnl`	Extended Feature Pyramid Network for Small Object Detection. IEEE Trans. Multim. Chunfang Deng, Mengmeng Wang, Liang Liu, Yong Liu, Yunliang Jiang
2022	J	`jnl`	Fast Point Cloud Sampling Network. Pattern Recognit. Lett. Tianxin Huang, Jun Chen, Jiangning Zhang, Yong Liu, Jie Liang
2022	J	`jnl`	GDFormer: A Graph Diffusing Attention based approach for Traffic Flow Prediction. Pattern Recognit. Lett. Jie Su, Zhongfu Jin, Jie Ren, Jiandang Yang, Yong Liu
2022	J	`jnl`	Image-level dataset synthesis with an end-to-end trainable framework. IET Image Process. Zhenfeng Xue, Weijie Mao, Yong Liu
2022	J	`jnl`	Interval-valued intuitionistic fuzzy multi-attribute second-order decision making based on partial connection numbers of set pair analysis. Soft Comput. Qing Shen, Xiongtao Zhang, Jungang Lou, Yong Liu, Yunliang Jiang
2022	A	`conf`	LODM: Large-scale Online Dense Mapping for UAV. IROS Jianxin Huang, Laijian Li, Xiangrui Zhao, Xiaolei Lang, Deye Zhu, Yong Liu
2022	—	`conf`	Learning to Train a Point Cloud Reconstruction Network Without Matching. ECCV (1) Tianxin Huang, Xuemeng Yang, Jiangning Zhang, Jinhao Cui, Hao Zou, Jun Chen, Xiangrui Zhao, Yong Liu
2022	J	`jnl`	Multi-Robot Learning Dynamic Obstacle Avoidance in Formation With Information-Directed Exploration. IEEE Trans. Emerg. Top. Comput. Intell. Junjie Cao, Yujie Wang, Yong Liu, Xuesong Ni
2022	J	`jnl`	Multilevel Spatial-Temporal Feature Aggregation for Video Object Detection. IEEE Trans. Circuits Syst. Video Technol. Chao Xu, Jiangning Zhang, Mengmeng Wang, Guanzhong Tian, Yong Liu
2022	J	`jnl`	Multiple Object Tracking of Drone Videos by a Temporal-Association Network with Separated-Tasks Structure. Remote. Sens. Yeneng Lin, Mengmeng Wang, Wenzhou Chen, Wang Gao, Lei Li, Yong Liu
2022	A*	`conf`	Non-stationary Transformers: Exploring the Stationarity in Time Series Forecasting. NeurIPS Yong Liu, Haixu Wu, Jianmin Wang, Mingsheng Long
2022	J	`jnl`	Non-stationary Transformers: Rethinking the Stationarity in Time Series Forecasting. CoRR Yong Liu, Haixu Wu, Jianmin Wang, Mingsheng Long
2022	J	`jnl`	Observability-Aware Intrinsic and Extrinsic Calibration of LiDAR-IMU Systems. CoRR Jiajun Lv, Xingxing Zuo, Kewei Hu, Jinhong Xu, Guoquan Huang, Yong Liu
2022	J	`jnl`	Observability-Aware Intrinsic and Extrinsic Calibration of LiDAR-IMU Systems. IEEE Trans. Robotics Jiajun Lv, Xingxing Zuo, Kewei Hu, Jinhong Xu, Guoquan Huang, Yong Liu
2022	J	`jnl`	Omni-frequency Channel-selection Representations for Unsupervised Anomaly Detection. CoRR Yufei Liang, Jiangning Zhang, Shiwei Zhao, Runze Wu, Yong Liu, Shuwen Pan
2022	J	`jnl`	RINet: Efficient 3D Lidar-Based Place Recognition Using Rotation Invariant Neural Network. IEEE Robotics Autom. Lett. Lin Li, Xin Kong, Xiangrui Zhao, Tianxin Huang, Wanlong Li, Feng Wen, Hongbo Zhang, Yong Liu
2022	J	`jnl`	Ranking and Tuning Pre-trained Models: A New Paradigm for Exploiting Model Hubs. J. Mach. Learn. Res. Kaichao You, Yong Liu, Ziyang Zhang, Jianmin Wang, Michael I. Jordan, Mingsheng Long
2022	J	`jnl`	Real-Time Audio-Guided Multi-Face Reenactment. IEEE Signal Process. Lett. Jiangning Zhang, Xianfang Zeng, Chao Xu, Yong Liu
2022	A*	`conf`	Region-Aware Face Swapping. CVPR Chao Xu, Jiangning Zhang, Miao Hua, Qian He, Zili Yi, Yong Liu
2022	J	`jnl`	Region-Aware Face Swapping. CoRR Chao Xu, Jiangning Zhang, Miao Hua, Qian He, Zili Yi, Yong Liu
2022	—	`conf`	Resolution-Free Point Cloud Sampling Network with Data Distillation. ECCV (2) Tianxin Huang, Jiangning Zhang, Jun Chen, Yuang Liu, Yong Liu
2022	J	`jnl`	Robust photon-efficient imaging using a pixel-wise residual shrinkage network. CoRR Gongxin Yao, Yiwei Chen, Yong Liu, Xiaomin Hu, Yu Pan
2022	J	`jnl`	SCSNet: An Efficient Paradigm for Learning Simultaneously Image Colorization and Super-Resolution. CoRR Jiangning Zhang, Chao Xu, Jian Li, Yue Han, Yabiao Wang, Ying Tai, Yong Liu
2022	A*	`conf`	SCSNet: An Efficient Paradigm for Learning Simultaneously Image Colorization and Super-resolution. AAAI Jiangning Zhang, Chao Xu, Jian Li, Yue Han, Yabiao Wang, Ying Tai, Yong Liu
2022	J	`jnl`	Semantic scan context: a novel semantic-based loop-closure method for LiDAR SLAM. Auton. Robots Lin Li, Xin Kong, Xiangrui Zhao, Tianxin Huang, Yong Liu
2022	J	`jnl`	Semisupervised Game Player Categorization From Very Big Behavior Log Data. IEEE Trans. Syst. Man Cybern. Syst. Jing Fan, Shaowen Gao, Yong Liu, Xinqiang Ma, Jiandang Yang, Changjie Fan
2022	—	`conf`	SuperLine3D: Self-supervised Line Segmentation and Description for LiDAR Point Cloud. ECCV (9) Xiangrui Zhao, Sheng Yang, Tianxin Huang, Jun Chen, Teng Ma, Mingyang Li, Yong Liu
2022	J	`jnl`	SuperLine3D: Self-supervised Line Segmentation and Description for LiDAR Point Cloud. CoRR Xiangrui Zhao, Sheng Yang, Tianxin Huang, Jun Chen, Teng Ma, Mingyang Li, Yong Liu
2022	J	`jnl`	TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis. CoRR Haixu Wu, Tengge Hu, Yong Liu, Hang Zhou, Jianmin Wang, Mingsheng Long
2021	J	`jnl`	A Detector and Evaluation Framework of Abnormal Bidding Behavior Based on Supplier Portrait. Int. J. Inf. Technol. Web Eng. Xinqiang Ma, Xuewei Li, Baoquan Zhong, Yi Huang, Ye Gu, Maonian Wu, Yong Liu, Mingyi Zhang
2021	J	`jnl`	A Learning Framework for n-Bit Quantized Neural Networks Toward FPGAs. IEEE Trans. Neural Networks Learn. Syst. Jun Chen, Liang Liu, Yong Liu, Xianfang Zeng
2021	—	`conf`	A Novel Unmanned Surface Vehicle with 2D-3D Fused Perception and Obstacle Avoidance Module. ROBIO Zhe Chen, Tao Huang, Zhenfeng Xue, Zongzhi Zhu, Jinhong Xu, Yong Liu
2021	J	`jnl`	A compression pipeline for one-stage object detection model. J. Real Time Image Process. Zhishan Li, Yiran Sun, Guanzhong Tian, Lei Xie, Yong Liu, Hongye Su, Yifan He
2021	J	`jnl`	ActionCLIP: A New Paradigm for Video Action Recognition. CoRR Mengmeng Wang, Jiazheng Xing, Yong Liu
2021	A*	`conf`	Analogous to Evolutionary Algorithm: Designing a Unified Sequence Model. NeurIPS Jiangning Zhang, Chao Xu, Jian Li, Wenzhou Chen, Yabiao Wang, Ying Tai, Shuo Chen, Chengjie Wang, Feiyue Huang, Yong Liu
2021	J	`jnl`	Analogous to Evolutionary Algorithm: Designing a Unified Sequence Model. CoRR Jiangning Zhang, Chao Xu, Jian Li, Wenzhou Chen, Yabiao Wang, Ying Tai, Shuo Chen, Chengjie Wang, Feiyue Huang, Yong Liu
2021	A	`conf`	CLINS: Continuous-Time Trajectory Estimation for LiDAR-Inertial System. IROS Jiajun Lv, Kewei Hu, Jinhong Xu, Yong Liu, Xiushui Ma, Xingxing Zuo
2021	J	`jnl`	CLINS: Continuous-Time Trajectory Estimation for LiDAR-Inertial System. CoRR Jiajun Lv, Kewei Hu, Jinhong Xu, Yong Liu, Xiushui Ma, Xingxing Zuo
2021	A*	`conf`	CodeVIO: Visual-Inertial Odometry with Learned Optimizable Dense Depth. ICRA Xingxing Zuo, Nathaniel Merrill, Wei Li, Yong Liu, Marc Pollefeys, Guoquan Huang
2021	J	`jnl`	Correction to: A compression pipeline for one-stage object detection model. J. Real Time Image Process. Zhishan Li, Yiran Sun, Guanzhong Tian, Lei Xie, Yong Liu, Hongye Su, Yifan He
2021	J	`jnl`	Cross-modality online distillation for multi-view action recognition. Neurocomputing Chao Xu, Xia Wu, Yachun Li, Yining Jin, Mengmeng Wang, Yong Liu
2021	J	`jnl`	Deep Superpixel Convolutional Network for Image Recognition. IEEE Signal Process. Lett. Xianfang Zeng, Wenxuan Wu, Guanzhong Tian, Fuxin Li, Yong Liu
2021	J	`jnl`	Dynamically Stable Poincaré Embeddings for Neural Manifolds. CoRR Jun Chen, Yuang Liu, Xiangrui Zhao, Yong Liu
2021	J	`jnl`	Ensemble Bootstrapped Deep Deterministic Policy Gradient for Vision-Based Robotic Grasping. IEEE Access Weiwei Liu, Linpeng Peng, Junjie Cao, Xiaokuan Fu, Yong Liu, Zaisheng Pan, Jian Yang
2021	J	`jnl`	Explicitly Modeling the Discriminability for Instance-Aware Visual Object Tracking. CoRR Mengmeng Wang, Xiaoqian Yang, Yong Liu
2021	A*	`conf`	FCFR-Net: Feature Fusion based Coarse-to-Fine Residual Learning for Depth Completion. AAAI Lina Liu, Xibin Song, Xiaoyang Lyu, Junwei Diao, Mengmeng Wang, Yong Liu, Liangjun Zhang
2021	A*	`conf`	HR-Depth: High Resolution Self-Supervised Monocular Depth Estimation. AAAI Xiaoyang Lyu, Liang Liu, Mengmeng Wang, Xin Kong, Lina Liu, Yong Liu, Xinxin Chen, Yi Yuan
2021	J	`jnl`	Hesitant fuzzy multi-attribute decision making based on binary connection number of set pair analysis. Soft Comput. Qing Shen, Jungang Lou, Yong Liu, Yunliang Jiang
2021	J	`jnl`	Intelligent warehouse monitoring based on distributed system and edge computing. Int. J. Intell. Robotics Appl. Sen Lin, Jianxin Huang, Wenzhou Chen, Wenlong Zhou, Jinhong Xu, Yong Liu, Jinqiang Yao
2021	—	`conf`	Learning Intra-group Cooperation in Multi-agent Systems. M2VIP Weiwei Liu, Shanqi Liu, Jian Yang, Yong Liu
2021	J	`jnl`	Learning Steering Kernels for Guided Depth Completion. IEEE Trans. Image Process. Lina Liu, Yiyi Liao, Yue Wang, Andreas Geiger, Yong Liu
2021	J	`jnl`	Learning hierarchical and efficient Person re-identification for robotic navigation. Int. J. Intell. Robotics Appl. Jiangning Zhang, Chao Xu, Xiangrui Zhao, Liang Liu, Yong Liu, Jinqiang Yao, Zaisheng Pan
2021	A*	`conf`	LogME: Practical Assessment of Pre-trained Models for Transfer Learning. ICML Kaichao You, Yong Liu, Jianmin Wang, Mingsheng Long
2021	J	`jnl`	LogME: Practical Assessment of Pre-trained Models for Transfer Learning. CoRR Kaichao You, Yong Liu, Mingsheng Long, Jianmin Wang
2021	J	`jnl`	MaIL: A Unified Mask-Image-Language Trimodal Network for Referring Image Segmentation. CoRR Zizhang Li, Mengmeng Wang, Jianbiao Mei, Yong Liu
2021	A	`conf`	Moving Forward in Formation: A Decentralized Hierarchical Learning Approach to Multi-Agent Moving Together. IROS Shanqi Liu, Licheng Wen, Jinhao Cui, Xuemeng Yang, Junjie Cao, Yong Liu
2021	A*	`conf`	One-shot Face Reenactment Using Appearance Adaptive Normalization. AAAI Guangming Yao, Yi Yuan, Tianjia Shao, Shuang Li, Shanqi Liu, Yong Liu, Mengmeng Wang, Kun Zhou
2021	J	`jnl`	One-shot Face Reenactment Using Appearance Adaptive Normalization. CoRR Guangming Yao, Yi Yuan, Tianjia Shao, Shuang Li, Shanqi Liu, Yong Liu, Mengmeng Wang, Kun Zhou
2021	A*	`conf`	PocoNet: SLAM-oriented 3D LiDAR Point Cloud Online Compression Network. ICRA Jinhao Cui, Hao Zou, Xin Kong, Xuemeng Yang, Xiangrui Zhao, Yong Liu, Wanlong Li, Feng Wen, Hongbo Zhang
2021	A	`conf`	PointSiamRCNN: Target-aware Voxel-based Siamese Tracker for Point Clouds. IROS Hao Zou, Chujuan Zhang, Yong Liu, Wanlong Li, Feng Wen, Hongbo Zhang
2021	J	`jnl`	Pose Estimation for Ground Robots: On Manifold Representation, Integration, Reparameterization, and Optimization. IEEE Trans. Robotics Mingming Zhang, Xingxing Zuo, Yiming Chen, Yong Liu, Mingyang Li
2021	J	`jnl`	Pruning by Training: A Novel Deep Neural Network Compression Framework for Image Processing. IEEE Signal Process. Lett. Guanzhong Tian, Jun Chen, Xianfang Zeng, Yong Liu
2021	A*	`conf`	RFNet: Recurrent Forward Network for Dense Point Cloud Completion. ICCV Tianxin Huang, Hao Zou, Jinhao Cui, Xuemeng Yang, Mengmeng Wang, Xiangrui Zhao, Jiangning Zhang, Yi Yuan, Yifan Xu, Yong Liu
2021	J	`jnl`	Ranking and Tuning Pre-trained Models: A New Paradigm of Exploiting Model Hubs. CoRR Kaichao You, Yong Liu, Jianmin Wang, Michael I. Jordan, Mingsheng Long
2021	A*	`conf`	SA-LOAM: Semantic-aided LiDAR SLAM with Loop Closure. ICRA Lin Li, Xin Kong, Xiangrui Zhao, Wanlong Li, Feng Wen, Hongbo Zhang, Yong Liu
2021	J	`jnl`	SA-LOAM: Semantic-aided LiDAR SLAM with Loop Closure. CoRR Lin Li, Xin Kong, Xiangrui Zhao, Wanlong Li, Feng Wen, Hongbo Zhang, Yong Liu
2021	A	`conf`	SSC: Semantic Scan Context for Large-Scale Place Recognition. IROS Lin Li, Xin Kong, Xiangrui Zhao, Tianxin Huang, Wanlong Li, Feng Wen, Hongbo Zhang, Yong Liu
2021	J	`jnl`	SSC: Semantic Scan Context for Large-Scale Place Recognition. CoRR Lin Li, Xin Kong, Xiangrui Zhao, Tianxin Huang, Yong Liu
2021	J	`jnl`	SelFSR: Self-Conditioned Face Super-Resolution in the Wild via Flow Field Degradation Network. CoRR Xianfang Zeng, Jiangning Zhang, Liang Liu, Guanzhong Tian, Yong Liu
2021	J	`jnl`	Self-play reinforcement learning with comprehensive critic in computer games. Neurocomputing Shanqi Liu, Junjie Cao, Yujie Wang, Wenzhou Chen, Yong Liu
2021	A*	`conf`	Self-supervised Monocular Depth Estimation for All Day Images using Domain Separation. ICCV Lina Liu, Xibin Song, Mengmeng Wang, Yong Liu, Liangjun Zhang
2021	J	`jnl`	Self-supervised Monocular Depth Estimation for All Day Images using Domain Separation. CoRR Lina Liu, Xibin Song, Mengmeng Wang, Yong Liu, Liangjun Zhang
2021	A	`conf`	Semantic Segmentation-assisted Scene Completion for LiDAR Point Clouds. IROS Xuemeng Yang, Hao Zou, Xin Kong, Tianxin Huang, Yong Liu, Wanlong Li, Feng Wen, Hongbo Zhang
2021	J	`jnl`	Semantic Segmentation-assisted Scene Completion for LiDAR Point Clouds. CoRR Xuemeng Yang, Hao Zou, Xin Kong, Tianxin Huang, Yong Liu, Wanlong Li, Feng Wen, Hongbo Zhang
2021	J	`jnl`	Separated Sonar Localization System for Indoor Robot Navigation. IEEE Trans. Ind. Electron. Wenzhou Chen, Jinhong Xu, Xiangrui Zhao, Yong Liu, Jian Yang
2021	A*	`conf`	Structure-aware Person Image Generation with Pose Decomposition and Semantic Correlation. AAAI Jilin Tang, Yi Yuan, Tianjia Shao, Yong Liu, Mengmeng Wang, Kun Zhou
2021	J	`jnl`	Structure-aware Person Image Generation with Pose Decomposition and Semantic Correlation. CoRR Jilin Tang, Yi Yuan, Tianjia Shao, Yong Liu, Mengmeng Wang, Kun Zhou
2021	J	`jnl`	Thoughts on the Consistency between Ricci Flow and Neural Network Behavior. CoRR Jun Chen, Tianxin Huang, Wenzhou Chen, Yong Liu
2021	J	`jnl`	TransVOS: Video Object Segmentation with Transformers. CoRR Jianbiao Mei, Mengmeng Wang, Yeneng Lin, Yong Liu
2021	J	`jnl`	Unpaired salient object translation via spatial attention prior. Neurocomputing Xianfang Zeng, Yusu Pan, Hao Zhang, Mengmeng Wang, Guanzhong Tian, Yong Liu
2021	A	`conf`	Up-to-Down Network: Fusing Multi-Scale Context for 3D Semantic Scene Completion. IROS Hao Zou, Xuemeng Yang, Tianxin Huang, Chujuan Zhang, Yong Liu, Wanlong Li, Feng Wen, Hongbo Zhang
2020	J	`jnl`	A Learning Framework for n-bit Quantized Neural Networks toward FPGAs. CoRR Jun Chen, Liang Liu, Yong Liu, Xianfang Zeng
2020	J	`jnl`	A Robust Stereo Feature-aided Semi-direct SLAM System. Robotics Auton. Syst. Xiangrui Zhao, Lina Liu, Renjie Zheng, Wenlong Ye, Yong Liu
2020	Misc	`conf`	APB2FACE: Audio-Guided Face Reenactment with Auxiliary Pose and Blink Signals. ICASSP Jiangning Zhang, Liang Liu, Zhucun Xue, Yong Liu
2020	J	`jnl`	APB2Face: Audio-guided face reenactment with auxiliary pose and blink signals. CoRR Jiangning Zhang, Liang Liu, Zhucun Xue, Yong Liu
2020	J	`jnl`	APB2FaceV2: Real-Time Audio-Guided Multi-Face Reenactment. CoRR Jiangning Zhang, Xianfang Zeng, Chao Xu, Jun Chen, Yong Liu, Yunliang Jiang
2020	A*	`conf`	Action Semantics Network: Considering the Effects of Actions in Multiagent Systems. ICLR Weixun Wang, Tianpei Yang, Yong Liu, Jianye Hao, Xiaotian Hao, Yujing Hu, Yingfeng Chen, Changjie Fan, Yang Gao
2020	J	`jnl`	CL-MAPF: Multi-Agent Path Finding for Car-Like Robots with Kinematic and Spatiotemporal Constraints. CoRR Licheng Wen, Zhen Zhang, Zhe Chen, Xiangrui Zhao, Yong Liu
2020	J	`jnl`	CodeVIO: Visual-Inertial Odometry with Learned Optimizable Dense Depth. CoRR Xingxing Zuo, Nathaniel Merrill, Wei Li, Yong Liu, Marc Pollefeys, Guoquan Huang
2020	—	`conf`	Collision-free Trajectory Planning for Autonomous Surface Vehicle. AIM Licheng Wen, Jiaqing Yan, Xuemeng Yang, Yong Liu, Yong Gu
2020	J	`jnl`	Collision-free Trajectory Planning for Autonomous Surface Vehicle. CoRR Licheng Wen, Jiaqing Yan, Xuemeng Yang, Yong Liu, Yong Gu
2020	—	`conf`	DTVNet: Dynamic Time-Lapse Video Generation via Single Still Image. ECCV (5) Jiangning Zhang, Chao Xu, Liang Liu, Mengmeng Wang, Xia Wu, Yong Liu, Yunliang Jiang
2020	J	`jnl`	DTVNet: Dynamic Time-lapse Video Generation via Single Still Image. CoRR Jiangning Zhang, Chao Xu, Liang Liu, Mengmeng Wang, Xia Wu, Yong Liu, Yunliang Jiang
2020	J	`jnl`	Detecting Aging Substation Transformers by Audio Signal with Deep Neural Network. Trans. Edutainment Wei Ye, Jiasai Sun, Min Xu, Xuemeng Yang, Hongliang Li, Yong Liu
2020	J	`jnl`	Extreme learning machine with hybrid cost function of G-mean and probability for imbalance learning. Int. J. Mach. Learn. Cybern. JongHyok Ri, Guanzhong Tian, Yong Liu, Wei-Hua Xu, Jungang Lou
2020	A	`conf`	F-Siamese Tracker: A Frustum-based Double Siamese Network for 3D Single Object Tracking. IROS Hao Zou, Jinhao Cui, Xin Kong, Chujuan Zhang, Yong Liu, Feng Wen, Wanlong Li
2020	J	`jnl`	F-Siamese Tracker: A Frustum-based Double Siamese Network for 3D Single Object Tracking. CoRR Hao Zou, Jinhao Cui, Xin Kong, Chujuan Zhang, Yong Liu, Feng Wen, Wanlong Li
2020	J	`jnl`	FCFR-Net: Feature Fusion based Coarse-to-Fine Residual Learning for Monocular Depth Completion. CoRR Lina Liu, Xibin Song, Xiaoyang Lyu, Junwei Diao, Mengmeng Wang, Yong Liu, Liangjun Zhang
2020	A*	`conf`	FDN: Feature Decoupling Network for Head Pose Estimation. AAAI Hao Zhang, Mengmeng Wang, Yong Liu, Yi Yuan
2020	A*	`conf`	FReeNet: Multi-Identity Face Reenactment. CVPR Jiangning Zhang, Xianfang Zeng, Mengmeng Wang, Yusu Pan, Liang Liu, Yong Liu, Yu Ding, Changjie Fan
2020	J	`jnl`	FlowMOT: 3D Multi-Object Tracking by Scene Flow Association. CoRR Guangyao Zhai, Xin Kong, Jinhao Cui, Yong Liu, Zhen Yang
2020	A*	`conf`	From Few to More: Large-Scale Dynamic Multiagent Curriculum Learning. AAAI Weixun Wang, Tianpei Yang, Yong Liu, Jianye Hao, Xiaotian Hao, Yujing Hu, Yingfeng Chen, Changjie Fan, Yang Gao
2020	J	`jnl`	Generalize Robot Learning From Demonstration to Variant Scenarios With Evolutionary Policy Gradient. Frontiers Neurorobotics Junjie Cao, Weiwei Liu, Yong Liu, Jian Yang
2020	J	`jnl`	HILONet: Hierarchical Imitation Learning from Non-Aligned Observations. CoRR Shanqi Liu, Junjie Cao, Wenzhou Chen, Licheng Wen, Yong Liu
2020	J	`jnl`	HR-Depth: High Resolution Self-Supervised Monocular Depth Estimation. CoRR Xiaoyang Lyu, Liang Liu, Mengmeng Wang, Xin Kong, Lina Liu, Yong Liu, Xinxin Chen, Yi Yuan
2020	J	`jnl`	Hierarchical and Efficient Learning for Person Re-Identification. CoRR Jiangning Zhang, Liang Liu, Chao Xu, Yong Liu
2020	J	`jnl`	Kinematics Based Visual Localization for Skid-Steering Robots: Algorithm and Theory. CoRR Xingxing Zuo, Mingming Zhang, Yiming Chen, Guoquan Huang, Yong Liu, Mingyang Li
2020	A	`conf`	LIC-Fusion 2.0: LiDAR-Inertial-Camera Odometry with Sliding-Window Plane-Feature Tracking. IROS Xingxing Zuo, Yulin Yang, Patrick Geneva, Jiajun Lv, Yong Liu, Guoquan Huang, Marc Pollefeys
2020	J	`jnl`	LIC-Fusion 2.0: LiDAR-Inertial-Camera Odometry with Sliding-Window Plane-Feature Tracking. CoRR Xingxing Zuo, Yulin Yang, Patrick Geneva, Jiajun Lv, Yong Liu, Guoquan Huang, Marc Pollefeys
2020	A*	`conf`	Learning by Analogy: Reliable Supervision From Transformations for Unsupervised Optical Flow Estimation. CVPR Liang Liu, Jiangning Zhang, Ruifei He, Yong Liu, Yabiao Wang, Ying Tai, Donghao Luo, Chengjie Wang, Jilin Li, Feiyue Huang
2020	J	`jnl`	Learning by Analogy: Reliable Supervision from Transformations for Unsupervised Optical Flow Estimation. CoRR Liang Liu, Jiangning Zhang, Ruifei He, Yong Liu, Yabiao Wang, Ying Tai, Donghao Luo, Chengjie Wang, Jilin Li, Feiyue Huang
2020	C	`conf`	Learning to Compensate for the Drift and Error of Gyroscope in Vehicle Localization. IV Xiangrui Zhao, Chunfang Deng, Xin Kong, Jinhong Xu, Yong Liu
2020	—	`conf`	Model-Based Robot Learning Control with Uncertainty Directed Exploration. AIM Junjie Cao, Yong Liu, Jian Yang, Zaisheng Pan
2020	J	`jnl`	Moving Forward in Formation: A Decentralized Hierarchical Learning Approach to Multi-Agent Moving Together. CoRR Shanqi Liu, Licheng Wen, Jinhao Cui, Xuemeng Yang, Junjie Cao, Yong Liu
2020	A*	`conf`	Multi-Agent Game Abstraction via Graph Attention Neural Network. AAAI Yong Liu, Weixun Wang, Yujing Hu, Jianye Hao, Xingguo Chen, Yang Gao
2020	J	`jnl`	Multiattribute decision making based on the binary connection number in set pair analysis under an interval-valued intuitionistic fuzzy set environment. Soft Comput. Qing Shen, Xu Huang, Yong Liu, Yunliang Jiang, Keqin Zhao
2020	J	`jnl`	Multimodal localization: Stereo over LiDAR map. J. Field Robotics Xingxing Zuo, Wenlong Ye, Yulin Yang, Renjie Zheng, Teresa A. Vidal-Calleja, Guoquan Huang, Yong Liu
2020	J	`jnl`	PoseConvGRU: A Monocular Approach for Visual Ego-motion Estimation by Learning. Pattern Recognit. Guangyao Zhai, Liang Liu, Linjian Zhang, Yong Liu, Yunliang Jiang
2020	J	`jnl`	Propagating Asymptotic-Estimated Gradients for Low Bitwidth Quantized Neural Networks. CoRR Jun Chen, Yong Liu, Hao Zhang, Shengnan Hou, Jian Yang
2020	J	`jnl`	Propagating Asymptotic-Estimated Gradients for Low Bitwidth Quantized Neural Networks. IEEE J. Sel. Top. Signal Process. Jun Chen, Yong Liu, Hao Zhang, Shengnan Hou, Jian Yang
2020	A*	`conf`	Realistic Face Reenactment via Self-Supervised Disentangling of Identity and Pose. AAAI Xianfang Zeng, Yusu Pan, Mengmeng Wang, Jiangning Zhang, Yong Liu
2020	J	`jnl`	Realistic Face Reenactment via Self-Supervised Disentangling of Identity and Pose. CoRR Xianfang Zeng, Yusu Pan, Mengmeng Wang, Jiangning Zhang, Yong Liu
2020	A	`conf`	Semantic Graph Based Place Recognition for 3D Point Clouds. IROS Xin Kong, Xuemeng Yang, Guangyao Zhai, Xiangrui Zhao, Xianfang Zeng, Mengmeng Wang, Yong Liu, Wanlong Li, Feng Wen
2020	J	`jnl`	Semantic Graph Based Place Recognition for 3D Point Clouds. CoRR Xin Kong, Xuemeng Yang, Guangyao Zhai, Xiangrui Zhao, Xianfang Zeng, Mengmeng Wang, Yong Liu, Wanlong Li, Feng Wen
2020	A	`conf`	Targetless Calibration of LiDAR-IMU System Based on Continuous-time Batch Estimation. IROS Jiajun Lv, Jinhong Xu, Kewei Hu, Yong Liu, Xingxing Zuo
2020	J	`jnl`	Targetless Calibration of LiDAR-IMU System Based on Continuous-time Batch Estimation. CoRR Jiajun Lv, Jinhong Xu, Kewei Hu, Yong Liu, Xingxing Zuo
2020	Misc	`conf`	Tracking an Object over 200 FPS with the Fusion of Prior Probability and Kalman Filter. ICMLC Jun Chen, Jin-Hui Zhao, Wei Zhang, Yong Liu
2019	A*	`conf`	3D Point Cloud Geometry Compression on Deep Learning. ACM Multimedia Tianxin Huang, Yong Liu
2019	A	`conf`	A Robust Stereo Semi-direct SLAM System Based on Hybrid Pyramid. IROS Xiangrui Zhao, Renjie Zheng, Wenlong Ye, Yong Liu
2019	J	`jnl`	Action Semantics Network: Considering the Effects of Actions in Multiagent Systems. CoRR Weixun Wang, Tianpei Yang, Yong Liu, Jianye Hao, Xiaotian Hao, Yujing Hu, Yingfeng Chen, Changjie Fan, Yang Gao
2019	J	`jnl`	Active Learning-Based Grasp for Accurate Industrial Manipulation. IEEE Trans Autom. Sci. Eng. Xiaokuan Fu, Yong Liu, Zhilei Wang
2019	—	`conf`	Audio2Face: Generating Speech/Face Animation from Single Audio with Attention-Based Bidirectional LSTM Networks. ICME Workshops Guanzhong Tian, Yi Yuan, Yong Liu
2019	J	`jnl`	Audio2Face: Generating Speech/Face Animation from Single Audio with Attention-Based Bidirectional LSTM Networks. CoRR Guanzhong Tian, Yi Yuan, Yong Liu
2019	A*	`conf`	Face-to-Parameter Translation for Game Character Auto-Creation. ICCV Tianyang Shi, Yi Yuan, Changjie Fan, Zhengxia Zou, Zhenwei Shi, Yong Liu
2019	J	`jnl`	Face-to-Parameter Translation for Game Character Auto-Creation. CoRR Tianyang Shi, Yi Yuan, Changjie Fan, Zhengxia Zou, Zhenwei Shi, Yong Liu
2019	J	`jnl`	FaceSwapNet: Landmark Guided Many-to-Many Face Reenactment. CoRR Jiangning Zhang, Xianfang Zeng, Yusu Pan, Yong Liu, Yu Ding, Changjie Fan
2019	J	`jnl`	From Few to More: Large-scale Dynamic Multiagent Curriculum Learning. CoRR Weixun Wang, Tianpei Yang, Yong Liu, Jianye Hao, Xiaotian Hao, Yujing Hu, Yingfeng Chen, Changjie Fan, Yang Gao
2019	A	`conf`	LIC-Fusion: LiDAR-Inertial-Camera Odometry. IROS Xingxing Zuo, Patrick Geneva, Woosik Lee, Yong Liu, Guoquan Huang
2019	J	`jnl`	LIC-Fusion: LiDAR-Inertial-Camera Odometry. CoRR Xingxing Zuo, Patrick Geneva, Woosik Lee, Yong Liu, Guoquan Huang
2019	J	`jnl`	Learning-Based Hand Motion Capture and Understanding in Assembly Process. IEEE Trans. Ind. Electron. Liang Liu, Yong Liu, Jiangning Zhang
2019	J	`jnl`	Multi-Agent Game Abstraction via Graph Attention Neural Network. CoRR Yong Liu, Weixun Wang, Yujing Hu, Jianye Hao, Xingguo Chen, Yang Gao
2019	J	`jnl`	ObjectFusion: An object detection and segmentation framework with RGB-D SLAM and convolutional neural networks. Neurocomputing Guanzhong Tian, Liang Liu, JongHyok Ri, Yong Liu, Yiran Sun
2019	A	`conf`	PASS3D: Precise and Accelerated Semantic Segmentation for 3D Point Cloud. IROS Xin Kong, Guangyao Zhai, Baoquan Zhong, Yong Liu
2019	J	`jnl`	PASS3D: Precise and Accelerated Semantic Segmentation for 3D Point Cloud. CoRR Xin Kong, Guangyao Zhai, Baoquan Zhong, Yong Liu
2019	J	`jnl`	PoseConvGRU: A Monocular Approach for Visual Ego-motion Estimation by Learning. CoRR Guangyao Zhai, Liang Liu, Linjian Zhang, Yong Liu
2019	A	`conf`	Robust and Efficient Vehicles Motion Estimation with Low-Cost Multi-Camera and Odometer-Gyroscope. IROS Wenlong Ye, Renjie Zheng, Fangqiang Zhang, Zizhou Ouyang, Yong Liu
2019	B	`conf`	Text-driven Visual Prosody Generation for Embodied Conversational Agents. IVA Jiali Chen, Yong Liu, Zhimeng Zhang, Changjie Fan, Yu Ding
2019	A*	`conf`	Tightly-Coupled Aided Inertial Navigation with Point and Plane Features. ICRA Yulin Yang, Patrick Geneva, Xingxing Zuo, Kevin Eckenhoff, Yong Liu, Guoquan Huang
2019	A*	`conf`	Unsupervised Learning of Scene Flow Estimation Fusing with Local Rigidity. IJCAI Liang Liu, Guangyao Zhai, Wenlong Ye, Yong Liu
2019	A*	`conf`	Value Function Transfer for Deep Multi-Agent Reinforcement Learning Based on N-Step Returns. IJCAI Yong Liu, Yujing Hu, Yang Gao, Yingfeng Chen, Changjie Fan
2019	J	`jnl`	Visual-Inertial Localization With Prior LiDAR Map Constraints. IEEE Robotics Autom. Lett. Xingxing Zuo, Patrick Geneva, Yulin Yang, Wenlong Ye, Yong Liu, Guoquan Huang
2019	C	`conf`	Visual-Inertial Localization for Skid-Steering Robots with Kinematic Constraints. ISRR Xingxing Zuo, Mingming Zhang, Yiming Chen, Yong Liu, Guoquan Huang, Mingyang Li
2019	J	`jnl`	Visual-Inertial Localization for Skid-Steering Robots with Kinematic Constraints. CoRR Xingxing Zuo, Mingming Zhang, Yiming Chen, Yong Liu, Guoquan Huang, Mingyang Li
2018	J	`jnl`	A Knowledge Graph Based Solution for Entity Discovery and Linking in Open-Domain Questions. CoRR Kai Lei, Bing Zhang, Yong Liu, Yang Deng, Dongyu Zhang, Ying Shen
2018	J	`jnl`	Accurate real-time ball trajectory estimation with onboard stereo camera system for humanoid ping-pong robot. Robotics Auton. Syst. Yong Liu, Liang Liu
2018	—	`conf`	Active Planning of Robot Navigation for 3D Scene Exploration. AIM Wenzhou Chen, Yong Liu
2018	J	`jnl`	Approach for Semi-automatic Construction of Anti-infective Drug Ontology Based on Entity Linking. CoRR Ying Shen, Yang Deng, Kaiqi Yuan, Li Liu, Yong Liu
2018	J	`jnl`	Constructing Ontology-Based Cancer Treatment Decision Support System with Case-Based Reasoning. CoRR Ying Shen, Joël Colloc, Armelle Jacquet-Andrieu, Ziyi Guo, Yong Liu
2018	J	`jnl`	Context aware decision support in neurosurgical oncology based on an efficient classification of endomicroscopic data. Int. J. Comput. Assist. Radiol. Surg. Yachun Li, Patra Charalampaki, Yong Liu, Guang-Zhong Yang, Stamatia Giannarou
2018	J	`jnl`	MASD: A Multimodal Assembly Skill Decoding System for Robot Programming by Demonstration. IEEE Trans Autom. Sci. Eng. Yue Wang, Yanmei Jiao, Rong Xiong, Hongsheng Yu, Jiafan Zhang, Yong Liu
2018	—	`conf`	Real-Time LiDAR Data Assocation Aided by IMU in High Dynamic Environment. RCAR Jinhong Xu, Jiajun Lv, Zaishen Pan, Yong Liu, Yinan Chen
2018	—	`conf`	Robot Simulation and Reinforcement Learning Training Platform Based on Distributed Architecture. ICCSIP (1) Yunliang Jiang, Zeng-Qiang Huang, Junjie Cao, Yong Liu, Xinqiang Ma, Yi Huang
2017	—	`conf`	A Knowledge Graph Based Solution for Entity Discovery and Linking in Open-Domain Questions. SmartCom Kai Lei, Bing Zhang, Yong Liu, Yang Deng, Dongyu Zhang, Ying Shen
2017	—	`conf`	Approach for Semi-automatic Construction of Anti-infective Drug Ontology Based on Entity Linking. SmartCom Ying Shen, Yang Deng, Kaiqi Yuan, Li Liu, Yong Liu
2017	—	`conf`	Attention-Aware Path-Based Relation Extraction for Medical Knowledge Graph. SmartCom Desi Wen, Yong Liu, Kaiqi Yuan, Shangchun Si, Ying Shen
2017	—	`conf`	Constructing Ontology-Based Cancer Treatment Decision Support System with Case-Based Reasoning. SmartCom Ying Shen, Joël Colloc, Armelle Jacquet-Andrieu, Ziyi Guo, Yong Liu
2017	J	`jnl`	Editorial: Recent advances in intelligent robotic systems. CAAI Trans. Intell. Technol. Xin Xu, Yong Liu
2017	J	`jnl`	Graph Regularized Auto-Encoders for Image Representation. IEEE Trans. Image Process. Yiyi Liao, Yue Wang, Yong Liu
2017	A*	`conf`	Large Margin Object Tracking with Circulant Feature Maps. CVPR Mengmeng Wang, Yong Liu, Zeyi Huang
2017	J	`jnl`	Large Margin Object Tracking with Circulant Feature Maps. CoRR Mengmeng Wang, Yong Liu, Zeyi Huang
2017	J	`jnl`	Method and Applications for Multiple Attribute Decision-Making Based on Converting Triangular Fuzzy Numbers into Connection Numbers. Trans. Edutainment Qing Shen, Yunliang Jiang, Xiongtao Zhang, Jing Fan, Yong Liu
2017	A*	`conf`	Parse geometry from a line: Monocular depth estimation with partial laser observation. ICRA Yiyi Liao, Lichao Huang, Yue Wang, Sarath Kodagoda, Yinan Yu, Yong Liu
2017	J	`jnl`	Place Classification With a Graph Regularized Deep Neural Network. IEEE Trans. Cogn. Dev. Syst. Yiyi Liao, Sarath Kodagoda, Yue Wang, Lei Shi, Yong Liu
2017	J	`jnl`	Quick attribute reduction with generalized indiscernibility models. Inf. Sci. Jing Fan, Yunliang Jiang, Yong Liu
2017	A*	`conf`	RISAS: A novel rotation, illumination, scale invariant appearance and shape feature. ICRA Kanzhi Wu, Xiaoyang Li, Ravindra Ranasinghe, Gamini Dissanayake, Yong Liu
2017	J	`jnl`	Real-time 3D Human Tracking for Mobile Robots with Multisensors. CoRR Mengmeng Wang, Daobilige Su, Lei Shi, Yong Liu, Jaime Valls Miró
2017	A*	`conf`	Real-time 3D human tracking for mobile robots with multisensors. ICRA Mengmeng Wang, Daobilige Su, Lei Shi, Yong Liu, Jaime Valls Miró
2017	J	`jnl`	Robust Visual SLAM with Point and Line Features. CoRR Xingxing Zuo, Xiaojia Xie, Yong Liu, Guoquan Huang
2017	A	`conf`	Robust visual SLAM with point and line features. IROS Xingxing Zuo, Xiaojia Xie, Yong Liu, Guoquan Huang
2017	J	`jnl`	Scalable Learning Framework for Traversable Region Detection Fusing With Appearance and Geometrical Information. IEEE Trans. Intell. Transp. Syst. Yue Wang, Yong Liu, Yiyi Liao, Rong Xiong
2016	J	`jnl`	Filtering Based Adaptive Visual Odometry Sensor Framework Robust to Blurred Images. Sensors Haiying Zhao, Yong Liu, Xiaojia Xie, Yiyi Liao, Xixi Liu
2016	J	`jnl`	General subspace constrained non-negative matrix factorization for data representation. Neurocomputing Yong Liu, Yiyi Liao, Liang Tang, Feng Tang, Weicong Liu
2016	J	`jnl`	Parse Geometry from a Line: Monocular Depth Estimation with Partial Laser Observation. CoRR Yiyi Liao, Lichao Huang, Yue Wang, Sarath Kodagoda, Yinan Yu, Yong Liu
2016	J	`jnl`	RISAS: A Novel Rotation, Illumination, Scale Invariant Appearance and Shape Feature. CoRR Xiaoyang Li, Kanzhi Wu, Yong Liu, Ravindra Ranasinghe, Gamini Dissanayake, Rong Xiong
2016	A	`conf`	Robust object tracking with a hierarchical ensemble framework. IROS Mengmeng Wang, Yong Liu, Rong Xiong
2016	J	`jnl`	Stereo Visual-Inertial Odometry With Multiple Kalman Filters Ensemble. IEEE Trans. Ind. Electron. Yong Liu, Rong Xiong, Yue Wang, Hong Huang, Xiaojia Xie, Xiaofeng Liu, Gaoming Zhang
2016	A*	`conf`	Understand scene categories by objects: A semantic regularized scene classifier using Convolutional Neural Networks. ICRA Yiyi Liao, Sarath Kodagoda, Yue Wang, Lei Shi, Yong Liu
2016	J	`jnl`	Vertex Mesh Simplification Algorithm Based on Curvature and Distance Metric. Trans. Edutainment Yunliang Jiang, Wuyang Nie, Liang Tang, Yong Liu, Ronghua Liang, Xiulan Hao
2015	J	`jnl`	A Distributed Data Mining System Framework for Mobile Internet Access Log Based on Hadoop. Trans. Edutainment Yunliang Jiang, Jiangang Yang, Liang Tang, Yong Liu, Xiaoming Zhao, Xiulan Hao
2015	J	`jnl`	Erratum to "Quick attribute reduct algorithm for neighborhood rough set model" [Inform. Sci 271 (2014) 65-81]. Inf. Sci. Yong Liu, Wenliang Huang, Yunliang Jiang, Zhiyong Zeng
2015	J	`jnl`	Feature Selection Based on Dependency Margin. IEEE Trans. Cybern. Yong Liu, Feng Tang, Zhiyong Zeng
2015	A*	`conf`	LOIND: An illumination and scale invariant RGB-D descriptor. ICRA Guanghua Feng, Yong Liu, Yiyi Liao
2015	J	`jnl`	Place classification with a graph regularized deep neural network model. CoRR Yiyi Liao, Sarath Kodagoda, Yue Wang, Lei Shi, Yong Liu
2015	J	`jnl`	Privacy preserving and fast decision for novelty detection using support vector data description. Soft Comput. Wenjun Hu, Shitong Wang, Fu-Lai Chung, Yong Liu, Wenhao Ying
2015	A	`conf`	Probabilistic graph based spatial assembly relation inference for programming of assembly task by demonstration. IROS Yue Wang, Jie Cai, Yabiao Wang, Youzhong Hu, Rong Xiong, Yong Liu, Jiafan Zhang, Liwei Qi
2015	J	`jnl`	Robust Object Tracking with a Hierarchical Ensemble Framework. CoRR Mengmeng Wang, Yong Liu
2015	A*	`conf`	Traversable region detection with a learning framework. ICRA Qingquan Zhang, Yong Liu, Yiyi Liao, Yue Wang
2015	J	`jnl`	Ultrasensitive Detection of Testosterone Using Microring Resonator with Molecularly Imprinted Polymers. Sensors Yangqing Chen, Yong Liu, Xiaodan Shen, Zhimin Chang, Longhua Tang, Wen-Fei Dong, Mingyu Li, Jian-jun He
2015	J	`jnl`	Understand Scene Categories by Objects: A Semantic Regularized Scene Classifier Using Convolutional Neural Networks. CoRR Yiyi Liao, Sarath Kodagoda, Yue Wang, Lei Shi, Yong Liu
2014	—	`conf`	Image Representation Learning Using Graph Regularized Auto-Encoders. ICLR (Workshop Poster) Yiyi Liao, Yue Wang, Yong Liu
2014	J	`jnl`	Ontology design with a granular approach. Expert Syst. Appl. Yong Liu, Xiaoling Zheng, Feng Tang, Xiaofei Chen
2014	J	`jnl`	Performance analysis of a mobile agent prototype system based on VIRGO P2P protocols. Concurr. Comput. Pract. Exp. Yunliang Jiang, Yong Liu, Wenliang Huang, Lican Huang
2014	J	`jnl`	Quick attribute reduct algorithm for neighborhood rough set model. Inf. Sci. Yong Liu, Wenliang Huang, Yunliang Jiang, Zhiyong Zeng
2014	A*	`conf`	Real-time accurate ball trajectory estimation with "asynchronous" stereo camera system for humanoid Ping-Pong robot. ICRA Qi Xie, Yong Liu, Rong Xiong, Jian Chu
2013	J	`jnl`	Performance evaluation of feature detection and matching in stereo visual odometry. Neurocomputing Yunliang Jiang, Yunxi Xu, Yong Liu
2013	J	`jnl`	Unifying Rough Set Theories via Large Scaled Granular Computing. Fundam. Informaticae Tsau Young Lin, Yong Liu, Wenliang Huang
2012	J	`jnl`	Constructing the virtual Jing-Hang Grand Canal with onto-draw. Expert Syst. Appl. Yong Liu, Minming Zhang, Feng Tang, Yunliang Jiang, Zhigeng Pan, Gengdai Liu, Huaqing Shen
2012	J	`jnl`	Improving procedural modeling with semantics in digital architectural heritage. Comput. Graph. Yong Liu, Mingmin Zhang, Yunliang Jiang, Haiying Zhao
2012	J	`jnl`	Virtual Network Marathon with immersion, scientificalness, competitiveness, adaptability and learning. Comput. Graph. Mingmin Zhang, Mingliang Xu, Lizhen Han, Yong Liu, Pei Lv, Gaoqi He
2011	—	`conf`	A humanoid robot for table tennis playing. ARSO Rong Xiong, Yong Liu, Hongbo Zheng
2010	J	`jnl`	Animations, Games, and Virtual Reality for the Jing-Hang Grand Canal. IEEE Computer Graphics and Applications Wenzhi Chen, Mingmin Zhang, Zhigeng Pan, Gengdai Liu, Huaqing Shen, Shengnan Chen, Yong Liu
2010	J	`jnl`	Feature Reduction with Inconsistency. Int. J. Cogn. Informatics Nat. Intell. Yong Liu, Yunliang Jiang, Jianhua Yang
2010	J	`jnl`	Modeling Complex Architectures Based on Granular Computing on Ontology. IEEE Trans. Fuzzy Syst. Yong Liu, Yunliang Jiang, Lican Huang
2008	C	`conf`	An Estimation Distribution Algorithm of Optimum Path Planning for Mobile Robots. CW Li Wang, Rong Xiong, Jian Chu, Yong Liu
2008	C	`conf`	Domain Classification by Granular Computing used in a P2P Approach for Web Service Discovery. CW Lican Huang, Yong Liu
2008	C	`conf`	HumRoboSim: An Autonomous Humanoid Robot Simulation System. CW Qing Tang, Rong Xiong, Yong Liu, Jian Chu
2008	J	`jnl`	Rough Rule Extracting From Various Conditions: Incremental and Approximate Approaches for Inconsistent Data. Fundam. Informaticae Yong Liu, Congfu Xu, Qiong Zhang, Yunhe Pan
2008	J	`jnl`	The Smart Architect: Scalable Ontology-Based Modeling of Ancient Chinese Architectures. IEEE Intell. Syst. Yong Liu, Congfu Xu, Qiong Zhang, Yunhe Pan
2006	A*	`conf`	Ontology Based Semantic Modeling for Chinese Ancient Architectures. AAAI Yong Liu, Congfu Xu, Qiong Zhang, Yunhe Pan
2006	J	`jnl`	Semantic modeling for ancient architecture of digital heritage. Comput. Graph. Yong Liu, Congfu Xu, Zhigeng Pan, Yunhe Pan
2005	Misc	`conf`	Improved rule based rough set approach for target recognition. GrC Yong Liu, Congfu Xu, Zhiyong Yan, Yunhe Pan
2005	—	`conf`	Incremental Target Recognition Algorithm Based on Improved Discernibility Matrix. FSKD (1) Yong Liu, Congfu Xu, Zhiyong Yan, Yunhe Pan
2005	—	`conf`	On Identity-Discrepancy-Contrary Connection Degree in SPA and Its Applications. FSKD (1) Yunliang Jiang, Yueting Zhuang, Yong Liu, Keqin Zhao
2005	—	`conf`	Simulating a Finite State Mobile Agent System. WAIM Yong Liu, Congfu Xu, Yanyu Chen, Yunhe Pan
2005	—	`conf`	Table Representations of Granulations Revisited. RSFDGrC (1) I-Jen Chiang, Tsau Young Lin, Yong Liu
2004	C	`conf`	A Finite State Mobile Agent Computation Model. APWeb Yong Liu, Congfu Xu, Zhaohui Wu, Weidong Chen, Yunhe Pan
2004	—	`conf`	A Parallel Approximate Rule Extracting Algorithm Based on the Improved Discernibility Matrix. Rough Sets and Current Trends in Computing Yong Liu, Congfu Xu, Yunhe Pan
2004	—	`conf`	A Predictable Mobile Agent Computation Model and Its Fabric Architecture. AWCC Yong Liu, Congfu Xu, Zhaohui Wu, Yunhe Pan
2004	C	`conf`	A Scalable and Reliable Mobile Agent Computation Model. CIS Yong Liu, Congfu Xu, Zhaohui Wu, Yunhe Pan
2004	—	`conf`	A new approach for data fusion: implement rough set theory in dynamic objects distinguishing and tracing. SMC (4) Yong Liu, Congfu Xu, Yunhe Pan
2004	—	`conf`	An Agent-Enabled Content-Explicit Authorization Model for OGSA-Compliant Grid. AWCC Yunliang Jiang, Bei Shui Liao, Yong Liu, Jun Hu
2004	—	`conf`	An incremental rule extracting algorithm based on Pawlak reduction. SMC (6) Yong Liu, Congfu Xu, Yunhe Pan
2004	—	`conf`	Semantic modeling project: building vernacular house of southeast China. VRCAI Yong Liu, Congfu Xu, Zhigeng Pan, Yunhe Pan
2003	Misc	`conf`	A Dynamic Incremental Rule Extracting Algorithm Based on the Improved Discernibility Matrix. IRI Yong Liu, Xuelan Li, Congfu Xu, Yunhe Pan
2003	B	`conf`	A GIS-based implemental framework for landscape design. SMC Yong Liu, Congfu Xu, Weidong Chen, Yunhe Pan
2003	—	`conf`	A Virtual Organization Based Mobile Agent Computation Model. GCC (2) Yong Liu, Congfu Xu, Zhaohui Wu, Weidong Chen, Yunhe Pan
2003	Misc	`conf`	A new approach for representing and processing uncertainty knowledge. IRI Yunliang Jiang, Congfu Xu, Yong Liu, Keqin Zhao