Tsu-Jui (Ray) Fu
I am currently a 2nd-year Ph.D. student at UCSB, advised by William Wang. My research interest lies in natural language processing (NLP) and computer vision (CV). Primarily, I work on language grounding and interacting with environments using language. Besides, I am also interested in information extraction and video analysis. My goal is to bridge the gap between vision and language via the AI system.
Previously, I finsh my B.S. in National Tsing-Hua University (NTHU) and be lucky to work with Prof. Shan-Hung Wu, Dr. Wei-Yun Ma, Prof. Chun-Yi Lee, and Prof. Hwann-Tzong Chen.

Research Assistant 2019 - now UCSB NLP Advisor: Prof. William Wang

Research Intern Summer 2020 Microsoft Research Advisor: Dr. Yale Song and Dr. Daniel McDuff

Research Intern Summer 2019 Preferred Networks Advisor: Dr. Yuta Tsuboi and Dr. Jason Naradowsky

Research Assistant 2018 - 2019 Academia Sinica CKIP Lab Advisor: Dr. Wei-Yun Ma

H-FND: Hierarchical False-Negative Denoising for Distant Supervision Relation Extraction Tsu-Jui Fu*, Jhih-Wei Chen*, Chen-Kang Lee, and Wei-Yun Ma Findings of ACL'21 (Long)

Semi-Supervised Policy Initialization for Playing Games with Language Hints Tsu-Jui Fu and William Yang Wang NAACL'21 (Short) Paper / Slide / Video / Code

L2C: Describing Visual Differences Needs Semantic Understanding of Individuals An Yan, Xin Eric Wang, Tsu-Jui Fu, and William Yang Wang EACL'21 (Short) Paper

Multimodal Style Transfer Learning for Outdoor Vision-and-Language Navigation Wanrong Zhu, Xin Eric Wang, Tsu-Jui Fu, An Yan, Pradyumna Narayana, Kazoo Sone, Sugato Basu, and William Yang Wang EACL'21 (Long) Paper / Code

SSCR: Iterative Language-Based Image Editing via Self-Supervised Counterfactual Reasoning Tsu-Jui Fu, Xin Eric Wang, Scott Grafton, Miguel Eckstein, and William Yang Wang EMNLP'20 (Long) Paper / Slide / Code

Counterfactual Vision-and-Language Navigation via Adversarial Path Sampler Tsu-Jui Fu, Xin Eric Wang, Matthew Peterson, Scott Grafton, Miguel Eckstein, and William Yang Wang ECCV'20 (Spotlight) Paper / Slide / Video / Model

Why Attention? Analyzing and Remedying BiLSTM Deficiency in Modeling Cross-Context for NER Peng-Hsuan Li, Tsu-Jui Fu, and Wei-Yun Ma AAAI'20 (Oral) Paper / Code

A Distributed Scheme for Accelerating Semantic Video Segmentation on An Embedded Cluster Tsu-Jui Fu*, Hsuan-Kung Yang*, Kuan-Wei Ho, Po-Han Chiang and Chun-Yi Lee ICCD'19 (Oral) Paper / Video

Adversarial Active Exploration for Inverse Dynamics Model Learning Zhang-Wei Hong, Tsu-Jui Fu, Tzu-Yun Shann, Yi-Hsiang Chang, and Chun-Yi Lee CoRL'19 (Oral) Paper

GraphRel: Modeling Text as Relational Graphs for Joint Entity and Relation Extraction Tsu-Jui Fu, Peng-Hsuan Li, and Wei-Yun Ma ACL'19 (Long) Paper / Slide / Code

Attentive and Adversarial Learning for Video Summarization Tsu-Jui Fu, Shao-Heng Tai, and Hwann-Tzong Chen WACV'19 (Oral) Paper / Video / Code

Region-Semantics Preserving Image Synthesis Kang-Jun Liu, Tsu-Jui Fu, and Shan-Hung Wu ACCV'18 Paper / Video / Code

Diversity-Driven Exploration Strategy for Deep Reinforcement Learning Zhang-Wei Hong, Tzu-Yun Shann, Shih-Yang Su, Yi-Hsiang Chang, Tsu-Jui Fu, and Chun-Yi Lee NeurIPS'18 Paper / Video

Speed Reading: Learning to Read ForBackward via Shuttle Tsu-Jui Fu and Wei-Yun Ma EMNLP'18 (Long) Paper / Code

Dynamic Video Segmentation Network Yu-Syuan Xu, Tsu-Jui Fu*, Hsuan-Kung Yang*, and Chun-Yi Lee CVPR'18 Paper / Video / Code

*template from jonbarron