Yen-Chen Lin

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 44

Top Topics

Reinforcement Learning

Top Venues

Publications

Yen-Chen Lin, Ya-Chi Hsu, Yu-Jui Chen, Yu-Chun Chang, Jing-Yun Fang, Chih-Wei Huang
Meta-Learning Traffic Pattern Adaptation for DRL-Based Radio Resource Management. ICC Workshops (2024)
Anthony Simeonov, Ankit Goyal, Lucas Manuelli, Yen-Chen Lin, Alina Sarmiento, Alberto Rodriguez, Pulkit Agrawal, Dieter Fox
Shelving, Stacking, Hanging: Relational Pose Diffusion for Multi-modal Rearrangement. CoRR (2023)
Kai-En Lin, Yen-Chen Lin, Wei-Sheng Lai, Tsung-Yi Lin, Yi-Chang Shih, Ravi Ramamoorthi
Vision Transformer for NeRF-Based View Synthesis from a Single Input Image. WACV (2023)
Anthony Simeonov, Ankit Goyal, Lucas Manuelli, Yen-Chen Lin, Alina Sarmiento, Alberto Rodriguez Garcia, Pulkit Agrawal, Dieter Fox
Shelving, Stacking, Hanging: Relational Pose Diffusion for Multi-modal Rearrangement. CoRL (2023)
Hao-Wei Hsu, Yen-Chen Lin, Chih-Wei Huang, Phone Lin, Shun-Ren Yang
Reinforcement Learning-Based Grant-Free Mode Selection for O-RAN Systems. IWCMC (2023)
Zhang-Wei Hong, Tao Chen, Yen-Chen Lin, Joni Pajarinen, Pulkit Agrawal
Topological Experience Replay. CoRR (2022)
Anthony Simeonov, Yilun Du, Yen-Chen Lin, Alberto Rodriguez Garcia, Leslie Pack Kaelbling, Tomás Lozano-Pérez, Pulkit Agrawal
SE(3)-Equivariant Relational Rearrangement with Neural Descriptor Fields. CoRL (2022)
Wei-Cheng Tseng, Hung-Ju Liao, Yen-Chen Lin, Min Sun
CLA-NeRF: Category-Level Articulated Neural Radiance Field. ICRA (2022)
Yen-Chen Lin, Pete Florence, Jonathan T. Barron, Tsung-Yi Lin, Alberto Rodriguez, Phillip Isola
NeRF-Supervision: Learning Dense Object Descriptors from Neural Radiance Fields. CoRR (2022)
Yen-Chen Lin, Pete Florence, Andy Zeng, Jonathan T. Barron, Yilun Du, Wei-Chiu Ma, Anthony Simeonov, Alberto Rodriguez Garcia, Phillip Isola
MIRA: Mental Imagery for Robotic Affordances. CoRL (2022)
Wei-Cheng Tseng, Tsun-Hsuan Johnson Wang, Yen-Chen Lin, Phillip Isola
Offline Multi-Agent Reinforcement Learning with Knowledge Distillation. NeurIPS (2022)
Miriam Cha, Kuan Wei Huang, Morgan Schmidt, Gregory Angelides, Mark Hamilton, Sam Goldberg, Armando Cabrera, Phillip Isola, Taylor Perron, Bill Freeman, Yen-Chen Lin, Brandon Swenson, Jean E. Piou
MultiEarth 2022 - Multimodal Learning for Earth and Environment Workshop and Challenge. CoRR (2022)
Wei-Cheng Tseng, Hung-Ju Liao, Yen-Chen Lin, Min Sun
CLA-NeRF: Category-Level Articulated Neural Radiance Field. CoRR (2022)
Yen-Chen Lin, Pete Florence, Jonathan T. Barron, Tsung-Yi Lin, Alberto Rodriguez, Phillip Isola
NeRF-Supervision: Learning Dense Object Descriptors from Neural Radiance Fields. ICRA (2022)
Yen-Chen Lin, Pete Florence, Andy Zeng, Jonathan T. Barron, Yilun Du, Wei-Chiu Ma, Anthony Simeonov, Alberto Rodriguez Garcia, Phillip Isola
MIRA: Mental Imagery for Robotic Affordances. CoRR (2022)
Kai-En Lin, Yen-Chen Lin, Wei-Sheng Lai, Tsung-Yi Lin, Yi-Chang Shih, Ravi Ramamoorthi
Vision Transformer for NeRF-Based View Synthesis from a Single Input Image. CoRR (2022)
Anthony Simeonov, Yilun Du, Yen-Chen Lin, Alberto Rodriguez, Leslie Pack Kaelbling, Tomás Lozano-Pérez, Pulkit Agrawal
SE(3)-Equivariant Relational Rearrangement with Neural Descriptor Fields. CoRR (2022)
Zhang-Wei Hong, Tao Chen, Yen-Chen Lin, Joni Pajarinen, Pulkit Agrawal
Topological Experience Replay. ICLR (2022)
Vijay Gadepally, Gregory Angelides, Andrei Barbu, Andrew Bowne, Laura J. Brattain, Tamara Broderick, Armando Cabrera, Glenn Carl, Ronisha Carter, Miriam Cha, Emilie Cowen, Jesse Cummings, Bill Freeman, James R. Glass, Sam Goldberg, Mark Hamilton, Thomas Heldt, Kuan Wei Huang, Phillip Isola, Boris Katz, Jamie Koerner, Yen-Chen Lin, David Mayo, Kyle McAlpin, Taylor Perron, Jean E. Piou, Hrishikesh M. Rao, Hayley Reynolds, Kaira Samuel, Siddharth Samsi, Morgan Schmidt, Leslie Shing, Olga Simek, Brandon Swenson, Vivienne Sze, Jonathan Taylor, Paul Tylkin, Mark Veillette, Matthew L. Weiss, Allan B. Wollaber, Sophia Yuditskaya, Jeremy Kepner
Developing a Series of AI Challenges for the United States Department of the Air Force. CoRR (2022)
Yen-Chen Lin, Andy Zeng, Shuran Song, Phillip Isola, Tsung-Yi Lin
Learning to See before Learning to Act: Visual Pre-training for Manipulation. CoRR (2021)
Frank Dellaert, Yen-Chen Lin
Neural Volume Rendering: NeRF And Beyond. CoRR (2021)
Yen-Chen Lin, Pete Florence, Jonathan T. Barron, Alberto Rodriguez, Phillip Isola, Tsung-Yi Lin
iNeRF: Inverting Neural Radiance Fields for Pose Estimation. IROS (2021)
Ching-Yao Chuang, Joshua Robinson, Yen-Chen Lin, Antonio Torralba, Stefanie Jegelka
Debiased Contrastive Learning. NeurIPS (2020)
Ching-Yao Chuang, Joshua Robinson, Yen-Chen Lin, Antonio Torralba, Stefanie Jegelka
Debiased Contrastive Learning. CoRR (2020)
Yen-Chen Lin, Andy Zeng, Shuran Song, Phillip Isola, Tsung-Yi Lin
Learning to See before Learning to Act: Visual Pre-training for Manipulation. ICRA (2020)
Yen-Chen Lin, Pete Florence, Jonathan T. Barron, Alberto Rodriguez, Phillip Isola, Tsung-Yi Lin
iNeRF: Inverting Neural Radiance Fields for Pose Estimation. CoRR (2020)
Abbas Sadat, Mengye Ren, Andrei Pokrovsky, Yen-Chen Lin, Ersin Yumer, Raquel Urtasun
Jointly Learnable Behavior and Trajectory Planning for Self-Driving Vehicles. IROS (2019)
Abbas Sadat, Mengye Ren, Andrei Pokrovsky, Yen-Chen Lin, Ersin Yumer, Raquel Urtasun
Jointly Learnable Behavior and Trajectory Planning for Self-Driving Vehicles. CoRR (2019)
Yen-Chen Lin, Maria Bauzá, Phillip Isola
Experience-Embedded Visual Foresight. CoRR (2019)
Maria Bauzá, Ferran Alet, Yen-Chen Lin, Tomás Lozano-Pérez, Leslie Pack Kaelbling, Phillip Isola, Alberto Rodriguez
Omnipush: accurate, diverse, real-world dataset of pushing dynamics with RGB-D video. IROS (2019)
Yen-Chen Lin, Maria Bauzá, Phillip Isola
Experience-Embedded Visual Foresight. CoRL (2019)
Maria Bauzá, Ferran Alet, Yen-Chen Lin, Tomás Lozano-Pérez, Leslie Pack Kaelbling, Phillip Isola, Alberto Rodriguez
Omnipush: accurate, diverse, real-world dataset of pushing dynamics with RGB-D video. CoRR (2019)
Steve T. K. Jan, Joseph Messou, Yen-Chen Lin, Jia-Bin Huang, Gang Wang
Connecting the Digital and Physical World: Improving the Robustness of Adversarial Attacks. AAAI (2019)
Yen-Chen Lin, Yung-Ju Chang, Hou-Ning Hu, Hsien-Tzu Cheng, Chi-Wen Huang, Min Sun
Tell Me Where to Look: Investigating Ways for Assisting Focus in 360° Video. CHI (2017)
Yen-Chen Lin, Ming-Yu Liu, Min Sun, Jia-Bin Huang
Detecting Adversarial Attacks on Neural Network Policies with Visual Foresight. CoRR (2017)
Min Sun, Kuo-Hao Zeng, Yen-Chen Lin, Ali Farhadi
Semantic Highlight Retrieval and Term Prediction. IEEE Trans. Image Process. 26 (7) (2017)
Yen-Chen Lin, Ching-Yuan Yang, James Chang
A 1.5-Gb/s equalizer with adaptive swing controller for TFT-LCD driver. ISOCC (2017)
Yen-Chen Lin, Zhang-Wei Hong, Yuan-Hong Liao, Meng-Li Shih, Ming-Yu Liu, Min Sun
Tactics of Adversarial Attack on Deep Reinforcement Learning Agents. IJCAI (2017)
Hou-Ning Hu, Yen-Chen Lin, Ming-Yu Liu, Hsien-Tzu Cheng, Yung-Ju Chang, Min Sun
Deep 360 Pilot: Learning a Deep Agent for Piloting through 360° Sports Video. CoRR (2017)
Yen-Chen Lin, Zhang-Wei Hong, Yuan-Hong Liao, Meng-Li Shih, Ming-Yu Liu, Min Sun
Tactics of Adversarial Attack on Deep Reinforcement Learning Agents. ICLR (Workshop) (2017)
Yen-Chen Lin, Zhang-Wei Hong, Yuan-Hong Liao, Meng-Li Shih, Ming-Yu Liu, Min Sun
Tactics of Adversarial Attack on Deep Reinforcement Learning Agents. CoRR (2017)
Hou-Ning Hu, Yen-Chen Lin, Ming-Yu Liu, Hsien-Tzu Cheng, Yung-Ju Chang, Min Sun
Deep 360 Pilot: Learning a Deep Agent for Piloting through 360° Sports Videos. CVPR (2017)
Kuo-Hao Zeng, Yen-Chen Lin, Ali Farhadi, Min Sun
Semantic highlight retrieval. ICIP (2016)
Hua-Jun Hong, Ching-Ling Fan, Yen-Chen Lin, Cheng-Hsin Hsu
Optimizing Cloud-Based Video Crowdsensing. IEEE Internet Things J. 3 (3) (2016)