Exploring the Effect of "Color Cueing" on Mobile Learning in Physical Environments. - Ing-Ling Lin; Yu-Chen Kuo; Yi-Chun Lin; Yen-Chen Lin; Kai-Hsin Chang; Tzu-Chien Liu (ICCE, 2012)

Research on teachers' needs when using e-textbooks in teaching. - Yen-Chen Lin; Tzu-Chien Liu; Kinshuk (Smart Learn. Environ., 2015)

Semantic highlight retrieval. - Kuo-Hao Zeng; Yen-Chen Lin; Ali Farhadi; Min Sun 001 (ICIP, 2016)

Optimizing Cloud-Based Video Crowdsensing. - Hua-Jun Hong; Ching-Ling Fan; Yen-Chen Lin; Cheng-Hsin Hsu (IEEE Internet Things J., 2016)

Tell Me Where to Look: Investigating Ways for Assisting Focus in 360° Video. - Yen-Chen Lin; Yung-Ju Chang; Hou-Ning Hu; Hsien-Tzu Cheng; Chi-Wen Huang; Min Sun 001 (CHI, 2017)

Deep 360 Pilot: Learning a Deep Agent for Piloting through 360° Sports Videos. - Hou-Ning Hu; Yen-Chen Lin; Ming-Yu Liu 001; Hsien-Tzu Cheng; Yung-Ju Chang; Min Sun 001 (CVPR, 2017)

Tactics of Adversarial Attack on Deep Reinforcement Learning Agents. - Yen-Chen Lin; Zhang-Wei Hong; Yuan-Hong Liao; Meng-Li Shih; Ming-Yu Liu 001; Min Sun 001 (IJCAI, 2017)

A 1.5-Gb/s equalizer with adaptive swing controller for TFT-LCD driver. - Yen-Chen Lin; Ching-Yuan Yang; James Chang (ISOCC, 2017)

Deep 360 Pilot: Learning a Deep Agent for Piloting through 360° Sports Video. - Hou-Ning Hu; Yen-Chen Lin; Ming-Yu Liu 001; Hsien-Tzu Cheng; Yung-Ju Chang; Min Sun 001 (CoRR, 2017)

Detecting Adversarial Attacks on Neural Network Policies with Visual Foresight. - Yen-Chen Lin; Ming-Yu Liu 001; Min Sun 001; Jia-Bin Huang 001 (CoRR, 2017)

Semantic Highlight Retrieval and Term Prediction. - Min Sun 001; Kuo-Hao Zeng; Yen-Chen Lin; Ali Farhadi (IEEE Trans. Image Process., 2017)

Connecting the Digital and Physical World: Improving the Robustness of Adversarial Attacks. - Steve T. K. Jan; Joseph Messou; Yen-Chen Lin; Jia-Bin Huang 001; Gang Wang 011 (AAAI, 2019)

Experience-Embedded Visual Foresight. - Yen-Chen Lin; Maria Bauzá 001; Phillip Isola (CoRL, 2019)

Omnipush: accurate, diverse, real-world dataset of pushing dynamics with RGB-D video. - Maria Bauzá 001; Ferran Alet; Yen-Chen Lin; Tomás Lozano-Pérez; Leslie Pack Kaelbling; Phillip Isola; Alberto Rodriguez 003 (IROS, 2019)

Jointly Learnable Behavior and Trajectory Planning for Self-Driving Vehicles. - Abbas Sadat; Mengye Ren; Andrei Pokrovsky; Yen-Chen Lin; Ersin Yumer; Raquel Urtasun (IROS, 2019)

Learning to See before Learning to Act: Visual Pre-training for Manipulation. - Yen-Chen Lin; Andy Zeng 001; Shuran Song; Phillip Isola; Tsung-Yi Lin (ICRA, 2020)

Debiased Contrastive Learning. - Ching-Yao Chuang; Joshua Robinson 001; Yen-Chen Lin; Antonio Torralba 001; Stefanie Jegelka (NeurIPS, 2020)

iNeRF: Inverting Neural Radiance Fields for Pose Estimation. - Yen-Chen Lin; Pete Florence; Jonathan T. Barron; Alberto Rodriguez Garcia; Phillip Isola; Tsung-Yi Lin (CoRR, 2020)

iNeRF: Inverting Neural Radiance Fields for Pose Estimation. - Yen-Chen Lin; Pete Florence; Jonathan T. Barron; Alberto Rodriguez 003; Phillip Isola; Tsung-Yi Lin (IROS, 2021)

Neural Volume Rendering: NeRF And Beyond. - Frank Dellaert; Yen-Chen Lin (CoRR, 2021)

MIRA: Mental Imagery for Robotic Affordances. - Yen-Chen Lin; Pete Florence; Andy Zeng 001; Jonathan T. Barron; Yilun Du; Wei-Chiu Ma; Anthony Simeonov; Alberto Rodriguez Garcia; Phillip Isola (CoRL, 2022)

SE(3)-Equivariant Relational Rearrangement with Neural Descriptor Fields. - Anthony Simeonov; Yilun Du; Yen-Chen Lin; Alberto Rodriguez Garcia; Leslie Pack Kaelbling; Tomás Lozano-Pérez; Pulkit Agrawal 001 (CoRL, 2022)

Topological Experience Replay. - Zhang-Wei Hong; Tao Chen 046; Yen-Chen Lin; Joni Pajarinen; Pulkit Agrawal 001 (ICLR, 2022)

NeRF-Supervision: Learning Dense Object Descriptors from Neural Radiance Fields. - Yen-Chen Lin; Pete Florence; Jonathan T. Barron; Tsung-Yi Lin; Alberto Rodriguez 003; Phillip Isola (ICRA, 2022)

CLA-NeRF: Category-Level Articulated Neural Radiance Field. - Wei-Cheng Tseng; Hung-Ju Liao; Yen-Chen Lin; Min Sun 001 (ICRA, 2022)

Offline Multi-Agent Reinforcement Learning with Knowledge Distillation. - Wei-Cheng Tseng; Tsun-Hsuan Johnson Wang; Yen-Chen Lin; Phillip Isola (NeurIPS, 2022)

NeRF-Supervision: Learning Dense Object Descriptors from Neural Radiance Fields. - Yen-Chen Lin; Pete Florence; Jonathan T. Barron; Tsung-Yi Lin; Alberto Rodriguez Garcia; Phillip Isola (CoRR, 2022)

MultiEarth 2022 - Multimodal Learning for Earth and Environment Workshop and Challenge. - 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; et al. (CoRR, 2022)

Developing a Series of AI Challenges for the United States Department of the Air Force. - 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; et al. (CoRR, 2022)

SE(3)-Equivariant Relational Rearrangement with Neural Descriptor Fields. - Anthony Simeonov; Yilun Du; Yen-Chen Lin; Alberto Rodriguez 003; Leslie Pack Kaelbling; Tomás Lozano-Pérez; Pulkit Agrawal 001 (CoRR, 2022)

Shelving, Stacking, Hanging: Relational Pose Diffusion for Multi-modal Rearrangement. - Anthony Simeonov; Ankit Goyal 001; Lucas Manuelli; Yen-Chen Lin; Alina Sarmiento; Alberto Rodriguez Garcia; Pulkit Agrawal 001; Dieter Fox (CoRL, 2023)

Reinforcement Learning-Based Grant-Free Mode Selection for O-RAN Systems. - Hao-Wei Hsu; Yen-Chen Lin; Chih-Wei Huang; Phone Lin; Shun-Ren Yang (IWCMC, 2023)

Vision Transformer for NeRF-Based View Synthesis from a Single Input Image. - Kai-En Lin; Yen-Chen Lin; Wei-Sheng Lai; Tsung-Yi Lin; Yi-Chang Shih; Ravi Ramamoorthi (WACV, 2023)

Shelving, Stacking, Hanging: Relational Pose Diffusion for Multi-modal Rearrangement. - Anthony Simeonov; Ankit Goyal 001; Lucas Manuelli; Yen-Chen Lin; Alina Sarmiento; Alberto Rodriguez 003; Pulkit Agrawal 001; Dieter Fox (CoRR, 2023)

View Synthesis for Visuomotor Policy Learning - Yen-Chen Lin (2023)

Meta-Learning Traffic Pattern Adaptation for DRL-Based Radio Resource Management. - Yen-Chen Lin; Ya-Chi Hsu; Yu-Jui Chen; Yu-Chun Chang; Jing-Yun Fang; Chih-Wei Huang (ICC Workshops, 2024)

Neural Fields in Robotics: A Survey. - Muhammad Zubair Irshad; Mauro Comi; Yen-Chen Lin; Nick Heppert; Abhinav Valada; Rares Ambrus; Zsolt Kira; Jonathan Tremblay (CoRR, 2024)

Edify Image: High-Quality Image Generation with Pixel Space Laplacian Diffusion Models. - Yuval Atzmon; Maciej Bala; Yogesh Balaji; Tiffany Cai; Yin Cui; Jiaojiao Fan; Yunhao Ge; Siddharth Gururani; Jacob Samuel Huffman; Ronald Isaac; Pooya Jannaty; Tero Karras; et al. (CoRR, 2024)

Edify 3D: Scalable High-Quality 3D Asset Generation. - Maciej Bala; Yin Cui; Yifan Ding; Yunhao Ge; Zekun Hao; Jon Hasselgren; Jacob Samuel Huffman; Jingyi Jin; J. P. Lewis 001; Zhaoshuo Li; Chen-Hsuan Lin 001; Yen-Chen Lin; et al. (CoRR, 2024)

Embodied Red Teaming for Auditing Robotic Foundation Models. - Sathwik Karnik; Zhang-Wei Hong; Nishant Abhangi; Yen-Chen Lin; Tsun-Hsuan Wang; Pulkit Agrawal 001 (CoRR, 2024)

A social diagnosis mechanism for healthcare knowledge sharing. - Lien-Fa Lin; Yung-Ming Li; Yen-Chen Lin (J. Inf. Sci., 2025)

Cosmos-Reason1: From Physical Common Sense To Embodied Reasoning. - Alisson G. Azzolini; Hannah Brandon; Prithvijit Chattopadhyay; Huayu Chen; Jinju Chu; Yin Cui; Jenna Diamond; Yifan Ding; Francesco Ferroni; Rama Govindaraju; Jinwei Gu; Siddharth Gururani; et al. (CoRR, 2025)

DreamGen: Unlocking Generalization in Robot Learning through Neural Trajectories. - Joel Jang; Seonghyeon Ye; Zongyu Lin; Jiannan Xiang; Johan Bjorck; Yu Fang; Fengyuan Hu; Spencer Huang; Kaushil Kundalia; Yen-Chen Lin; Loic Magne; Ajay Mandlekar; et al. (CoRR, 2025)