Yen-Cheng Liu - RankMe

57 papers A* 14A 2B 3Journal 29Unranked 8

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	LinGen: Towards High-Resolution Minute-Length Text-to-Video Generation with Linear Computational Complexity. CVPR Hongjie Wang, Chih-Yao Ma, Yen-Cheng Liu, Ji Hou, Tao Xu, Jialiang Wang, Felix Juefei-Xu, Yaqiao Luo, Peizhao Zhang, Tingbo Hou, Peter Vajda, Niraj K. Jha, Xiaoliang Dai
2025	J	`jnl`	Token-Shuffle: Towards High-Resolution Image Generation with Autoregressive Models. CoRR Xu Ma, Peize Sun, Haoyu Ma, Hao Tang, Chih-Yao Ma, Jialiang Wang, Kunpeng Li, Xiaoliang Dai, Yujun Shi, Xuan Ju, Yushi Hu, Artsiom Sanakoyeu, Felix Juefei-Xu, Ji Hou, Junjiao Tian, Tao Xu, Tingbo Hou, Yen-Cheng Liu, Zecheng He, Zijian He, Matt Feiszli, Peizhao Zhang, Peter Vajda, Sam S. Tsai, Yun Fu
2024	—	`—`	Efficient Visual Learning for Scene Understanding. Yen-Cheng Liu
2024	J	`jnl`	LinGen: Towards High-Resolution Minute-Length Text-to-Video Generation with Linear Computational Complexity. CoRR Hongjie Wang, Chih-Yao Ma, Yen-Cheng Liu, Ji Hou, Tao Xu, Jialiang Wang, Felix Juefei-Xu, Yaqiao Luo, Peizhao Zhang, Tingbo Hou, Peter Vajda, Niraj K. Jha, Xiaoliang Dai
2024	A	`conf`	Missing Modality Robustness in Semi-Supervised Multi-Modal Semantic Segmentation. WACV Harsh Maheshwari, Yen-Cheng Liu, Zsolt Kira
2023	J	`jnl`	Fast Trainable Projection for Robust Fine-Tuning. CoRR Junjiao Tian, Yen-Cheng Liu, James Seale Smith, Zsolt Kira
2023	A*	`conf`	Fast Trainable Projection for Robust Fine-tuning. NeurIPS Junjiao Tian, Yen-Cheng Liu, James Seale Smith, Zsolt Kira
2023	J	`jnl`	Missing Modality Robustness in Semi-Supervised Multi-Modal Semantic Segmentation. CoRR Harsh Maheshwari, Yen-Cheng Liu, Zsolt Kira
2023	A*	`conf`	Trainable Projected Gradient Method for Robust Fine-Tuning. CVPR Junjiao Tian, Xiaoliang Dai, Chih-Yao Ma, Zecheng He, Yen-Cheng Liu, Zsolt Kira
2023	J	`jnl`	Trainable Projected Gradient Method for Robust Fine-tuning. CoRR Junjiao Tian, Xiaoliang Dai, Chih-Yao Ma, Zecheng He, Yen-Cheng Liu, Zsolt Kira
2022	A*	`conf`	Cross-Domain Adaptive Teacher for Object Detection. CVPR Yu-Jhe Li, Xiaoliang Dai, Chih-Yao Ma, Yen-Cheng Liu, Kan Chen, Bichen Wu, Zijian He, Kris Kitani, Peter Vajda
2022	J	`jnl`	Detection of Spatial-Modulated Signals in the Presence of CSI Uncertainty and Spatially- and Time-Selective Fading. IEEE Access Hsuan-Cheng Chang, Yen-Cheng Liu, Yu T. Su
2022	—	`conf`	Open-Set Semi-Supervised Object Detection. ECCV (30) Yen-Cheng Liu, Chih-Yao Ma, Xiaoliang Dai, Junjiao Tian, Peter Vajda, Zijian He, Zsolt Kira
2022	J	`jnl`	Open-Set Semi-Supervised Object Detection. CoRR Yen-Cheng Liu, Chih-Yao Ma, Xiaoliang Dai, Junjiao Tian, Peter Vajda, Zijian He, Zsolt Kira
2022	A*	`conf`	Polyhistor: Parameter-Efficient Multi-Task Adaptation for Dense Vision Tasks. NeurIPS Yen-Cheng Liu, Chih-Yao Ma, Junjiao Tian, Zijian He, Zsolt Kira
2022	J	`jnl`	Polyhistor: Parameter-Efficient Multi-Task Adaptation for Dense Vision Tasks. CoRR Yen-Cheng Liu, Chih-Yao Ma, Junjiao Tian, Zijian He, Zsolt Kira
2022	A*	`conf`	Unbiased Teacher v2: Semi-supervised Object Detection for Anchor-free and Anchor-based Detectors. CVPR Yen-Cheng Liu, Chih-Yao Ma, Zsolt Kira
2022	J	`jnl`	Unbiased Teacher v2: Semi-supervised Object Detection for Anchor-free and Anchor-based Detectors. CoRR Yen-Cheng Liu, Chih-Yao Ma, Zsolt Kira
2021	J	`jnl`	Cross-Domain Object Detection via Adaptive Self-Training. CoRR Yu-Jhe Li, Xiaoliang Dai, Chih-Yao Ma, Yen-Cheng Liu, Kan Chen, Bichen Wu, Zijian He, Kris Kitani, Peter Vajda
2021	J	`jnl`	Enhancing Multi-Robot Perception via Learned Data Association. CoRR Nathaniel Glaser, Yen-Cheng Liu, Junjiao Tian, Zsolt Kira
2021	A	`conf`	Overcoming Obstructions via Bandwidth-Limited Multi-Agent Spatial Handshaking. IROS Nathaniel Glaser, Yen-Cheng Liu, Junjiao Tian, Zsolt Kira
2021	J	`jnl`	Overcoming Obstructions via Bandwidth-Limited Multi-Agent Spatial Handshaking. CoRR Nathaniel Glaser, Yen-Cheng Liu, Junjiao Tian, Zsolt Kira
2021	A*	`conf`	Unbiased Teacher for Semi-Supervised Object Detection. ICLR Yen-Cheng Liu, Chih-Yao Ma, Zijian He, Chia-Wen Kuo, Kan Chen, Peizhao Zhang, Bichen Wu, Zsolt Kira, Peter Vajda
2021	J	`jnl`	Unbiased Teacher for Semi-Supervised Object Detection. CoRR Yen-Cheng Liu, Chih-Yao Ma, Zijian He, Chia-Wen Kuo, Kan Chen, Peizhao Zhang, Bichen Wu, Zsolt Kira, Peter Vajda
2020	A*	`conf`	Posterior Re-calibration for Imbalanced Datasets. NeurIPS Junjiao Tian, Yen-Cheng Liu, Nathaniel Glaser, Yen-Chang Hsu, Zsolt Kira
2020	J	`jnl`	Posterior Re-calibration for Imbalanced Datasets. CoRR Junjiao Tian, Yen-Cheng Liu, Nathan Glaser, Yen-Chang Hsu, Zsolt Kira
2020	J	`jnl`	Static2Dynamic: Video Inference From a Deep Glimpse. IEEE Trans. Emerg. Top. Comput. Intell. Yu-Ying Yeh, Yen-Cheng Liu, Wei-Chen Chiu, Yu-Chiang Frank Wang
2020	A*	`conf`	UNO: Uncertainty-aware Noisy-Or Multimodal Fusion for Unanticipated Input Degradation. ICRA Junjiao Tian, Wesley Cheung, Nathaniel Glaser, Yen-Cheng Liu, Zsolt Kira
2020	A*	`conf`	When2com: Multi-Agent Perception via Communication Graph Grouping. CVPR Yen-Cheng Liu, Junjiao Tian, Nathaniel Glaser, Zsolt Kira
2020	J	`jnl`	When2com: Multi-Agent Perception via Communication Graph Grouping. CoRR Yen-Cheng Liu, Junjiao Tian, Nathaniel Glaser, Zsolt Kira
2020	A*	`conf`	Who2com: Collaborative Perception via Learnable Handshake Communication. ICRA Yen-Cheng Liu, Junjiao Tian, Chih-Yao Ma, Nathan Glaser, Chia-Wen Kuo, Zsolt Kira
2020	J	`jnl`	Who2com: Collaborative Perception via Learnable Handshake Communication. CoRR Yen-Cheng Liu, Junjiao Tian, Chih-Yao Ma, Nathan Glaser, Chia-Wen Kuo, Zsolt Kira
2019	—	`conf`	A Closer Look at Few-shot Classification. ICLR (Poster) Wei-Yu Chen, Yen-Cheng Liu, Zsolt Kira, Yu-Chiang Frank Wang, Jia-Bin Huang
2019	J	`jnl`	A Closer Look at Few-shot Classification. CoRR Wei-Yu Chen, Yen-Cheng Liu, Zsolt Kira, Yu-Chiang Frank Wang, Jia-Bin Huang
2019	B	`conf`	Constructions of Two-Dimensional Binary Z-Complementary Array Pairs. ISIT Cheng-Yu Pai, Yong-Ting Ni, Yen-Cheng Liu, Meng-Hsien Kuo, Chao-Yu Chen
2019	A*	`conf`	Towards Scene Understanding: Unsupervised Monocular Depth Estimation With Semantic-Aware Representation. CVPR Po-Yi Chen, Alexander H. Liu, Yen-Cheng Liu, Yu-Chiang Frank Wang
2019	J	`jnl`	UNO: Uncertainty-aware Noisy-Or Multimodal Fusion for Unanticipated Input Degradation. CoRR Junjiao Tian, Wesley Cheung, Nathan Glaser, Yen-Cheng Liu, Zsolt Kira
2018	A*	`conf`	A Unified Feature Disentangler for Multi-Domain Image Translation and Manipulation. NeurIPS Alexander H. Liu, Yen-Cheng Liu, Yu-Ying Yeh, Yu-Chiang Frank Wang
2018	J	`jnl`	A Unified Feature Disentangler for Multi-Domain Image Translation and Manipulation. CoRR Alexander H. Liu, Yen-Cheng Liu, Yu-Ying Yeh, Yu-Chiang Frank Wang
2018	—	`conf`	Adaptation and Re-Identification Network: An Unsupervised Deep Transfer Learning Approach to Person Re-Identification. CVPR Workshops Yu-Jhe Li, Fu-En Yang, Yen-Cheng Liu, Yu-Ying Yeh, Xiaofei Du, Yu-Chiang Frank Wang
2018	J	`jnl`	Adaptation and Re-Identification Network: An Unsupervised Deep Transfer Learning Approach to Person Re-Identification. CoRR Yu-Jhe Li, Fu-En Yang, Yen-Cheng Liu, Yu-Ying Yeh, Xiaofei Du, Yu-Chiang Frank Wang
2018	—	`conf`	Deep Aggregation Net for Land Cover Classification. CVPR Workshops Tzu-Sheng Kuo, Keng-Sen Tseng, Jia-Wei Yan, Yen-Cheng Liu, Yu-Chiang Frank Wang
2018	A*	`conf`	Detach and Adapt: Learning Cross-Domain Disentangled Deep Representation. CVPR Yen-Cheng Liu, Yu-Ying Yeh, Tzu-Chien Fu, Sheng-De Wang, Wei-Chen Chiu, Yu-Chiang Frank Wang
2018	J	`jnl`	Re-evaluating Continual Learning Scenarios: A Categorization and Case for Strong Baselines. CoRR Yen-Chang Hsu, Yen-Cheng Liu, Zsolt Kira
2017	—	`conf`	Domain-Adaptive generative adversarial networks for sketch-to-photo inversion. MLSP Yen-Cheng Liu, Wei-Chen Chiu, Sheng-De Wang, Yu-Chiang Frank Wang
2017	J	`jnl`	Learning Cross-Domain Disentangled Deep Representation with Supervision from A Single Domain. CoRR Tzu-Chien Fu, Yen-Cheng Liu, Wei-Chen Chiu, Sheng-De Wang, Yu-Chiang Frank Wang
2016	J	`jnl`	Detection of Spatial Modulation Signals in Doubly Selective Fading Channels with CSI Uncertainty. CoRR Hsuan-Cheng Chang, Yen-Cheng Liu, Yu T. Su
2016	J	`jnl`	Reduced-Rank Channel Estimation for Large-Scale MIMO Systems. CoRR Ko-Feng Chen, Yen-Cheng Liu, Yu T. Su
2013	J	`jnl`	Composite Channel Estimation in Massive MIMO Systems. CoRR Ko-Feng Chen, Yen-Cheng Liu, Yu T. Su
2013	—	`conf`	Detection of spatial-modulated signals in the presence of CSI error and time-spatial correlation. GLOBECOM Workshops Hsuan-Cheng Chang, Yen-Cheng Liu, Yu T. Su
2013	J	`jnl`	New Constructions of Zero-Correlation Zone Sequences. IEEE Trans. Inf. Theory Yen-Cheng Liu, Ching-Wei Chen, Yu T. Su
2013	—	`conf`	On composite channel estimation in wireless massive MIMO systems. GLOBECOM Workshops Ko-Feng Chen, Yen-Cheng Liu, Yu T. Su
2013	J	`jnl`	Unsupervised scene segmentation using sparse coding context. Mach. Vis. Appl. Yen-Cheng Liu, Hwann-Tzong Chen
2012	J	`jnl`	New Constructions of Zero-Correlation Zone Sequences CoRR Yen-Cheng Liu, Ching-Wei Chen, Yu T. Su
2009	B	`conf`	A Pipelined IP Forwarding Engine with Fast Update. AINA Yeim-Kuan Chang, Yen-Cheng Liu, Fang-Chen Kuo
2009	—	`conf`	Initial Synchronization for Multi-Cell OFDMA Systems. ICC Yen-Cheng Liu, Kuhn-Chang Lin, Yu T. Su
2009	B	`conf`	Systematic constructions of zero-correlation zone sequences. ISIT Ching-Wei Chen, Yen-Cheng Liu, Yu Ted Su