A Pipelined IP Forwarding Engine with Fast Update. - Yeim-Kuan Chang; Yen-Cheng Liu; Fang-Chen Kuo (AINA, 2009)

Initial Synchronization for Multi-Cell OFDMA Systems. - Yen-Cheng Liu; Kuhn-Chang Lin; Yu T. Su (ICC, 2009)

Systematic constructions of zero-correlation zone sequences. - Ching-Wei Chen; Yen-Cheng Liu; Yu Ted Su (ISIT, 2009)

Detection of spatial-modulated signals in the presence of CSI error and time-spatial correlation. - Hsuan-Cheng Chang; Yen-Cheng Liu; Yu T. Su (GLOBECOM Workshops, 2013)

On composite channel estimation in wireless massive MIMO systems. - Ko-Feng Chen; Yen-Cheng Liu; Yu T. Su (GLOBECOM Workshops, 2013)

Composite Channel Estimation in Massive MIMO Systems. - Ko-Feng Chen; Yen-Cheng Liu; Yu T. Su (CoRR, 2013)

Unsupervised scene segmentation using sparse coding context. - Yen-Cheng Liu; Hwann-Tzong Chen (Mach. Vis. Appl., 2013)

New Constructions of Zero-Correlation Zone Sequences. - Yen-Cheng Liu; Ching-Wei Chen; Yu T. Su (IEEE Trans. Inf. Theory, 2013)

Detection of Spatial Modulation Signals in Doubly Selective Fading Channels with CSI Uncertainty. - Hsuan-Cheng Chang; Yen-Cheng Liu; Yu T. Su (CoRR, 2016)

Reduced-Rank Channel Estimation for Large-Scale MIMO Systems. - Ko-Feng Chen; Yen-Cheng Liu; Yu T. Su (CoRR, 2016)

Domain-Adaptive generative adversarial networks for sketch-to-photo inversion. - Yen-Cheng Liu; Wei-Chen Chiu; Sheng-De Wang; Yu-Chiang Frank Wang (MLSP, 2017)

Learning Cross-Domain Disentangled Deep Representation with Supervision from A Single Domain. - Tzu-Chien Fu; Yen-Cheng Liu; Wei-Chen Chiu; Sheng-De Wang; Yu-Chiang Frank Wang (CoRR, 2017)

Deep Aggregation Net for Land Cover Classification. - Tzu-Sheng Kuo; Keng-Sen Tseng; Jia-Wei Yan; Yen-Cheng Liu; Yu-Chiang Frank Wang (CVPR Workshops, 2018)

Adaptation and Re-Identification Network: An Unsupervised Deep Transfer Learning Approach to Person Re-Identification. - Yu-Jhe Li; Fu-En Yang; Yen-Cheng Liu; Yu-Ying Yeh; Xiaofei Du 001; Yu-Chiang Frank Wang (CVPR Workshops, 2018)

Detach and Adapt: Learning Cross-Domain Disentangled Deep Representation. - Yen-Cheng Liu; Yu-Ying Yeh; Tzu-Chien Fu; Sheng-De Wang; Wei-Chen Chiu; Yu-Chiang Frank Wang (CVPR, 2018)

A Unified Feature Disentangler for Multi-Domain Image Translation and Manipulation. - Alexander H. Liu; Yen-Cheng Liu; Yu-Ying Yeh; Yu-Chiang Frank Wang (NeurIPS, 2018)

Re-evaluating Continual Learning Scenarios: A Categorization and Case for Strong Baselines. - Yen-Chang Hsu; Yen-Cheng Liu; Zsolt Kira (CoRR, 2018)

Towards Scene Understanding: Unsupervised Monocular Depth Estimation With Semantic-Aware Representation. - Po-Yi Chen; Alexander H. Liu; Yen-Cheng Liu; Yu-Chiang Frank Wang (CVPR, 2019)

A Closer Look at Few-shot Classification. - Wei-Yu Chen; Yen-Cheng Liu; Zsolt Kira; Yu-Chiang Frank Wang; Jia-Bin Huang 001 (ICLR (Poster), 2019)

Constructions of Two-Dimensional Binary Z-Complementary Array Pairs. - Cheng-Yu Pai; Yong-Ting Ni; Yen-Cheng Liu; Meng-Hsien Kuo; Chao-Yu Chen (ISIT, 2019)

When2com: Multi-Agent Perception via Communication Graph Grouping. - Yen-Cheng Liu; Junjiao Tian; Nathaniel Glaser; Zsolt Kira (CVPR, 2020)

Who2com: Collaborative Perception via Learnable Handshake Communication. - Yen-Cheng Liu; Junjiao Tian; Chih-Yao Ma; Nathan Glaser; Chia-Wen Kuo; Zsolt Kira (ICRA, 2020)

UNO: Uncertainty-aware Noisy-Or Multimodal Fusion for Unanticipated Input Degradation. - Junjiao Tian; Wesley Cheung; Nathaniel Glaser; Yen-Cheng Liu; Zsolt Kira (ICRA, 2020)

Posterior Re-calibration for Imbalanced Datasets. - Junjiao Tian; Yen-Cheng Liu; Nathaniel Glaser; Yen-Chang Hsu; Zsolt Kira (NeurIPS, 2020)

Static2Dynamic: Video Inference From a Deep Glimpse. - Yu-Ying Yeh; Yen-Cheng Liu; Wei-Chen Chiu; Yu-Chiang Frank Wang (IEEE Trans. Emerg. Top. Comput. Intell., 2020)

Unbiased Teacher for Semi-Supervised Object Detection. - Yen-Cheng Liu; Chih-Yao Ma; Zijian He; Chia-Wen Kuo; Kan Chen; Peizhao Zhang; Bichen Wu; Zsolt Kira; Peter Vajda (ICLR, 2021)

Overcoming Obstructions via Bandwidth-Limited Multi-Agent Spatial Handshaking. - Nathaniel Glaser; Yen-Cheng Liu; Junjiao Tian; Zsolt Kira (IROS, 2021)

Enhancing Multi-Robot Perception via Learned Data Association. - Nathaniel Glaser; Yen-Cheng Liu; Junjiao Tian; Zsolt Kira (CoRR, 2021)

Cross-Domain Object Detection via Adaptive Self-Training. - Yu-Jhe Li; Xiaoliang Dai; Chih-Yao Ma; Yen-Cheng Liu; Kan Chen; Bichen Wu; Zijian He; Kris Kitani; Peter Vajda (CoRR, 2021)

Cross-Domain Adaptive Teacher for Object Detection. - Yu-Jhe Li; Xiaoliang Dai; Chih-Yao Ma; Yen-Cheng Liu; Kan Chen; Bichen Wu; Zijian He; Kris Kitani; Peter Vajda (CVPR, 2022)

Unbiased Teacher v2: Semi-supervised Object Detection for Anchor-free and Anchor-based Detectors. - Yen-Cheng Liu; Chih-Yao Ma; Zsolt Kira (CVPR, 2022)

Open-Set Semi-Supervised Object Detection. - Yen-Cheng Liu; Chih-Yao Ma; Xiaoliang Dai; Junjiao Tian; Peter Vajda; Zijian He; Zsolt Kira (ECCV (30), 2022)

Polyhistor: Parameter-Efficient Multi-Task Adaptation for Dense Vision Tasks. - Yen-Cheng Liu; Chih-Yao Ma; Junjiao Tian; Zijian He; Zsolt Kira (NeurIPS, 2022)

Detection of Spatial-Modulated Signals in the Presence of CSI Uncertainty and Spatially- and Time-Selective Fading. - Hsuan-Cheng Chang; Yen-Cheng Liu; Yu T. Su (IEEE Access, 2022)

Trainable Projected Gradient Method for Robust Fine-Tuning. - Junjiao Tian; Xiaoliang Dai; Chih-Yao Ma; Zecheng He; Yen-Cheng Liu; Zsolt Kira (CVPR, 2023)

Fast Trainable Projection for Robust Fine-tuning. - Junjiao Tian; Yen-Cheng Liu; James Seale Smith; Zsolt Kira (NeurIPS, 2023)

Missing Modality Robustness in Semi-Supervised Multi-Modal Semantic Segmentation. - Harsh Maheshwari; Yen-Cheng Liu; Zsolt Kira (WACV, 2024)

Movie Gen: A Cast of Media Foundation Models. - Adam Polyak; Amit Zohar; Andrew Brown; Andros Tjandra; Animesh Sinha; Ann Lee 001; Apoorv Vyas; Bowen Shi; Chih-Yao Ma; Ching-Yao Chuang; David Yan; Dhruv Choudhary; et al. (CoRR, 2024)

Efficient Visual Learning for Scene Understanding. - Yen-Cheng Liu (2024)

LinGen: Towards High-Resolution Minute-Length Text-to-Video Generation with Linear Computational Complexity. - Hongjie Wang 002; Chih-Yao Ma; Yen-Cheng Liu; Ji Hou; Tao Xu; Jialiang Wang 001; Felix Juefei-Xu; Yaqiao Luo; Peizhao Zhang; Tingbo Hou; Peter Vajda; Niraj K. Jha; et al. (CVPR, 2025)

Token-Shuffle: Towards High-Resolution Image Generation with Autoregressive Models. - Xu Ma; Peize Sun; Haoyu Ma; Hao Tang; Chih-Yao Ma; Jialiang Wang 001; Kunpeng Li; Xiaoliang Dai; Yujun Shi; Xuan Ju; Yushi Hu; Artsiom Sanakoyeu; et al. (CoRR, 2025)