A low phase-noise class-C VCO using novel 8-shaped transformer. - Ping-Yi Wang; Te-Lin Wu; Ming-Yu Chen 005; Yun-Chun Shen; Yin-Cheng Chang; Da-Chiang Chang; Shawn S. H. Hsu (ISCAS, 2015)

Emergence of Euclidean geometrical intuitions in hierarchical generative models. - Arianna Yuan; Te-Lin Wu; James L. McClelland (CogSci, 2016)

Feedback Networks. - Amir R. Zamir; Te-Lin Wu; Lin Sun 004; William B. Shen; Jitendra Malik; Silvio Savarese (CoRR, 2016)

Feedback Networks. - Amir R. Zamir; Te-Lin Wu; Lin Sun 004; William B. Shen; Bertram E. Shi; Jitendra Malik; Silvio Savarese (CVPR, 2017)

Demo2Vec: Reasoning Object Affordances From Online Videos. - Kuan Fang; Te-Lin Wu; Daniel Yang; Silvio Savarese; Joseph J. Lim (CVPR, 2018)

Program Guided Agent. - Shao-Hua Sun; Te-Lin Wu; Joseph J. Lim (ICLR, 2020)

MELINDA: A Multimodal Dataset for Biomedical Experiment Method Classification. - Te-Lin Wu; Shikhar Singh; Sayan Paul; Gully A. Burns; Nanyun Peng 001 (AAAI, 2021)

COM2SENSE: A Commonsense Reasoning Benchmark with Complementary Sentences. - Shikhar Singh; Nuan Wen; Yu Hou; Pegah Alipoormolabashi; Te-Lin Wu; Xuezhe Ma; Nanyun Peng 001 (ACL/IJCNLP (Findings), 2021)

HyperExpan: Taxonomy Expansion with Hyperbolic Representation Learning. - Mingyu Derek Ma; Muhao Chen 001; Te-Lin Wu; Nanyun Peng 001 (EMNLP (Findings), 2021)

LAMPRET: Layout-Aware Multimodal PreTraining for Document Understanding. - Te-Lin Wu; Cheng Li 012; Mingyang Zhang 001; Tao Chen 008; Spurthi Amba Hombaiah; Michael Bendersky (CoRR, 2021)

Understanding Procedural Knowledge by Sequencing Multimodal Instructional Manuals. - Te-Lin Wu; Alexander Spangher; Pegah Alipoormolabashi; Marjorie Freedman; Ralph M. Weischedel; Nanyun Peng 001 (CoRR, 2021)

Understanding Multimodal Procedural Knowledge by Sequencing Multimodal Instructional Manuals. - Te-Lin Wu; Alexander Spangher; Pegah Alipoormolabashi; Marjorie Freedman; Ralph M. Weischedel; Nanyun Peng 001 (ACL (1), 2022)

Character-centric Story Visualization via Visual Planning and Token Alignment. - Hong Chen 017; Rujun Han; Te-Lin Wu; Hideki Nakayama; Nanyun Peng 001 (EMNLP, 2022)

SIMMC-VR: A Task-oriented Multimodal Dialog Dataset with Situated and Immersive VR Streams. - Te-Lin Wu; Satwik Kottur; Andrea Madotto; Mahmoud Azab; Pedro Rodríguez 001; Babak Damavandi; Nanyun Peng 001; Seungwhan Moon (ACL (1), 2023)

Learning Action Conditions from Instructional Manuals for Instruction Understanding. - Te-Lin Wu; Caiqi Zhang; Qingyuan Hu; Alexander Spangher; Nanyun Peng 001 (ACL (1), 2023)

ACQUIRED: A Dataset for Answering Counterfactual Questions In Real-Life Videos. - Te-Lin Wu; Zi-Yi Dou; Qingyuan Hu; Yu Hou; Nischal Reddy Chandra; Marjorie Freedman; Ralph M. Weischedel; Nanyun Peng 001 (EMNLP, 2023)

Localizing Active Objects from Egocentric Vision with Symbolic World Knowledge. - Te-Lin Wu; Yu Zhou 030; Nanyun Peng 001 (EMNLP, 2023)

InSpaceType: Reconsider Space Type in Indoor Monocular Depth Estimation. - Cho-Ying Wu; Quankai Gao; Chin-Cheng Hsu; Te-Lin Wu; Jing-Wen Chen; Ulrich Neumann (CoRR, 2023)

Planning as In-Painting: A Diffusion-Based Embodied Task Planning Framework for Environments under Uncertainty. - Cheng-Fu Yang; Haoyang Xu; Te-Lin Wu; Xiaofeng Gao 002; Kai-Wei Chang; Feng Gao (CoRR, 2023)

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models. - Aarohi Srivastava; Abhinav Rastogi; Abhishek Rao; Abu Awal Md Shoeb; Abubakar Abid; Adam Fisch; Adam R. Brown; Adam Santoro; Aditya Gupta; Adrià Garriga-Alonso; Agnieszka Kluska; Aitor Lewkowycz; et al. (Trans. Mach. Learn. Res., 2023)

InSpaceType: Dataset and Benchmark for Reconsidering Cross-Space Type Performance in Indoor Monocular Depth. - Cho-Ying Wu; Quankai Gao; Chin-Cheng Hsu; Te-Lin Wu; Jing-Wen Chen; Ulrich Neumann (BMVC, 2024)

VDebugger: Harnessing Execution Feedback for Debugging Visual Programs. - Xueqing Wu 001; Zongyu Lin; Songyan Zhao; Te-Lin Wu; Pan Lu; Nanyun Peng 001; Kai-Wei Chang (EMNLP (Findings), 2024)

MIRACLE: An Online, Explainable Multimodal Interactive Concept Learning System. - Ansel Blume; Khanh Duy Nguyen; Zhenhailong Wang; Yangyi Chen; Michal Shlapentokh-Rothman; Xiaomeng Jin; Jeonghwan Kim; Zhen Zhu 006; Jiateng Liu; Kuan-Hao Huang; Mankeerat Sidhu; Xuanming Zhang; et al. (ACM Multimedia, 2024)

LegalDiscourse: Interpreting When Laws Apply and To Whom. - Alexander Spangher; Zihan Xue; Te-Lin Wu; Mark Hansen; Jonathan May (NAACL-HLT, 2024)

DACO: Towards Application-Driven and Comprehensive Data Analysis via Code Generation. - Xueqing Wu 001; Rui Zheng; Jingzhen Sha; Te-Lin Wu; Hanyu Zhou; Mohan Tang; Kai-Wei Chang; Nanyun Peng 001; Haoran Huang (NeurIPS, 2024)

ARMADA: Attribute-Based Multimodal Data Augmentation. - Xiaomeng Jin; Jeonghwan Kim; Yu Zhou 030; Kuan-Hao Huang; Te-Lin Wu; Nanyun Peng 001; Heng Ji 001 (CoRR, 2024)

Grounded-Knowledge-Enhanced Instruction Understanding for Multimodal Assistant Applications - Te-Lin Wu (2024)

Contrastive Visual Data Augmentation. - Yu Zhou 030; Bingxuan Li; Mohan Tang; Xiaomeng Jin; Te-Lin Wu; Kuan-Hao Huang; Heng Ji 001; Kai-Wei Chang; Nanyun Peng 001 (CoRR, 2025)