Region-Semantics Preserving Image Synthesis. - Kang-Jun Liu; Tsu-Jui Fu; Shan-Hung Wu (ACCV (4), 2018)

Dynamic Video Segmentation Network. - Yu-Syuan Xu; Tsu-Jui Fu; Hsuan-Kung Yang; Chun-Yi Lee (CVPR, 2018)

Visual Relationship Prediction via Label Clustering and Incorporation of Depth Information. - Hsuan-Kung Yang; An-Chieh Cheng; Kuan-Wei Ho; Tsu-Jui Fu; Chun-Yi Lee (ECCV Workshops (2), 2018)

Speed Reading: Learning to Read ForBackward via Shuttle. - Tsu-Jui Fu; Wei-Yun Ma (EMNLP, 2018)

Diversity-Driven Exploration Strategy for Deep Reinforcement Learning. - Zhang-Wei Hong; Tzu-Yun Shann; Shih-Yang Su; Yi-Hsiang Chang; Tsu-Jui Fu; Chun-Yi Lee (NeurIPS, 2018)

Adversarial Exploration Strategy for Self-Supervised Imitation Learning. - Zhang-Wei Hong; Tsu-Jui Fu; Tzu-Yun Shann; Yi-Hsiang Chang; Chun-Yi Lee (CoRR, 2018)

GraphRel: Modeling Text as Relational Graphs for Joint Entity and Relation Extraction. - Tsu-Jui Fu; Peng-Hsuan Li; Wei-Yun Ma (ACL (1), 2019)

Adversarial Active Exploration for Inverse Dynamics Model Learning. - Zhang-Wei Hong; Tsu-Jui Fu; Tzu-Yun Shann; Chun-Yi Lee (CoRL, 2019)

A Distributed Scheme for Accelerating Semantic Video Segmentation on An Embedded Cluster. - Hsuan-Kung Yang; Tsu-Jui Fu; Po-Han Chiang; Kuan-Wei Ho; Chun-Yi Lee (ICCD, 2019)

Learning from Observation-Only Demonstration for Task-Oriented Language Grounding via Self-Examination. - Tsu-Jui Fu; Yuta Tsuboi; Sosuke Kobayashi; Yuta Kikuchi (ViGIL@NeurIPS, 2019)

Attentive and Adversarial Learning for Video Summarization. - Tsu-Jui Fu; Shao-Heng Tai; Hwann-Tzong Chen (WACV, 2019)

Remedying BiLSTM-CNN Deficiency in Modeling Cross-Context for NER. - Peng-Hsuan Li; Tsu-Jui Fu; Wei-Yun Ma (CoRR, 2019)

Counterfactual Vision-and-Language Navigation via Adversarial Path Sampling. - Tsu-Jui Fu; Xin Wang 061; Matthew F. Peterson; Scott T. Grafton; Miguel P. Eckstein; William Yang Wang (CoRR, 2019)

Why Attention? Analyze BiLSTM Deficiency and Its Remedies in the Case of NER. - Peng-Hsuan Li; Tsu-Jui Fu; Wei-Yun Ma (AAAI, 2020)

Counterfactual Vision-and-Language Navigation via Adversarial Path Sampler. - Tsu-Jui Fu; Xin Eric Wang; Matthew F. Peterson; Scott T. Grafton; Miguel P. Eckstein; William Yang Wang (ECCV (6), 2020)

SSCR: Iterative Language-Based Image Editing via Self-Supervised Counterfactual Reasoning. - Tsu-Jui Fu; Xin Wang 061; Scott T. Grafton; Miguel P. Eckstein; William Yang Wang (EMNLP (1), 2020)

H-FND: Hierarchical False-Negative Denoising for Distant Supervision Relation Extraction. - Jhih-wei Chen; Tsu-Jui Fu; Chen-Kang Lee; Wei-Yun Ma (ACL/IJCNLP (Findings), 2021)

L2C: Describing Visual Differences Needs Semantic Understanding of Individuals. - An Yan 003; Xin Wang 061; Tsu-Jui Fu; William Yang Wang (EACL, 2021)

Multimodal Text Style Transfer for Outdoor Vision-and-Language Navigation. - Wanrong Zhu; Xin Wang 061; Tsu-Jui Fu; An Yan 003; Pradyumna Narayana; Kazoo Sone; Sugato Basu; William Yang Wang (EACL, 2021)

Semi-Supervised Policy Initialization for Playing Games with Language Hints. - Tsu-Jui Fu; William Yang Wang (NAACL-HLT, 2021)

Language-based Video Editing via Multi-Modal Multi-Level Transformer. - Tsu-Jui Fu; Xin Eric Wang; Scott T. Grafton; Miguel P. Eckstein; William Yang Wang (CoRR, 2021)

Language-Driven Image Style Transfer. - Tsu-Jui Fu; Xin Eric Wang; William Yang Wang (CoRR, 2021)

VIOLET : End-to-End Video-Language Transformers with Masked Visual-token Modeling. - Tsu-Jui Fu; Linjie Li; Zhe Gan; Kevin Lin; William Yang Wang; Lijuan Wang; Zicheng Liu 001 (CoRR, 2021)

DOC2PPT: Automatic Presentation Slides Generation from Scientific Documents. - Tsu-Jui Fu; William Yang Wang; Daniel McDuff; Yale Song (AAAI, 2022)

M3L: Language-based Video Editing via Multi-Modal Multi-Level Transformers. - Tsu-Jui Fu; Xin Eric Wang; Scott T. Grafton; Miguel P. Eckstein; William Yang Wang (CVPR, 2022)

Language-Driven Artistic Style Transfer. - Tsu-Jui Fu; Xin Eric Wang; William Yang Wang (ECCV (36), 2022)

ULN: Towards Underspecified Vision-and-Language Navigation. - Weixi Feng; Tsu-Jui Fu; Yujie Lu; William Yang Wang (EMNLP, 2022)

CPL: Counterfactual Prompt Learning for Vision and Language Models. - Xuehai He; Diji Yang; Weixi Feng; Tsu-Jui Fu; Arjun R. Akula; Varun Jampani; Pradyumna Narayana; Sugato Basu; William Yang Wang; Xin Wang 061 (EMNLP, 2022)

An Empirical Study of End-to-End Video-Language Transformers with Masked Visual Modeling. - Tsu-Jui Fu; Linjie Li; Zhe Gan; Kevin Lin; William Yang Wang; Lijuan Wang; Zicheng Liu 001 (CVPR, 2023)

Tell Me What Happened: Unifying Text-guided Video Completion via Multimodal Masked Video Generation. - Tsu-Jui Fu; Licheng Yu; Ning Zhang 014; Cheng-Yang Fu; Jong-Chyi Su; William Yang Wang; Sean Bell (CVPR, 2023)

Text-guided 3D Human Generation from 2D Collections. - Tsu-Jui Fu; Wenhan Xiong; Yixin Nie; Jingyu Liu; Barlas Oguz; William Wang (EMNLP (Findings), 2023)

EDIS: Entity-Driven Image Search over Multimodal Web Content. - Siqi Liu; Weixi Feng; Tsu-Jui Fu; Wenhu Chen; William Wang 001 (EMNLP, 2023)

Collaborative Generative AI: Integrating GPT-k for Efficient Editing in Text-to-Image Generation. - Wanrong Zhu; Xinyi Wang 003; Yujie Lu; Tsu-Jui Fu; Xin Wang 061; Miguel P. Eckstein; William Wang 001 (EMNLP, 2023)

Training-Free Structured Diffusion Guidance for Compositional Text-to-Image Synthesis. - Weixi Feng; Xuehai He; Tsu-Jui Fu; Varun Jampani; Arjun R. Akula; Pradyumna Narayana; Sugato Basu; Xin Eric Wang; William Yang Wang (ICLR, 2023)

LayoutGPT: Compositional Visual Planning and Generation with Large Language Models. - Weixi Feng; Wanrong Zhu; Tsu-Jui Fu; Varun Jampani; Arjun R. Akula; Xuehai He; Sugato Basu; Xin Eric Wang; William Yang Wang (NeurIPS, 2023)

PHOTOSWAP: Personalized Subject Swapping in Images. - Jing Gu; Yilin Wang 002; Nanxuan Zhao; Tsu-Jui Fu; Wei Xiong 008; Qing Liu 017; Zhifei Zhang; He Zhang 004; Jianming Zhang 001; Hyunjoon Jung; Xin Eric Wang (NeurIPS, 2023)

Discriminative Diffusion Models as Few-shot Vision and Language Learners. - Xuehai He; Weixi Feng; Tsu-Jui Fu; Varun Jampani; Arjun R. Akula; Pradyumna Narayana; Sugato Basu; William Yang Wang; Xin Eric Wang (CoRR, 2023)

Text-guided 3D Human Generation from 2D Collections. - Tsu-Jui Fu; Wenhan Xiong; Yixin Nie; Jingyu Liu; Barlas Oguz; William Yang Wang (CoRR, 2023)

VELMA: Verbalization Embodiment of LLM Agents for Vision and Language Navigation in Street View. - Raphael Schumann; Wanrong Zhu; Weixi Feng; Tsu-Jui Fu; Stefan Riezler; William Yang Wang (AAAI, 2024)

Guiding Instruction-based Image Editing via Multimodal Large Language Models. - Tsu-Jui Fu; Wenze Hu; Xianzhi Du; William Yang Wang; Yinfei Yang; Zhe Gan (ICLR, 2024)

T2V-Turbo: Breaking the Quality Bottleneck of Video Consistency Model with Mixed Reward Feedback. - Jiachen Li; Weixi Feng; Tsu-Jui Fu; Xinyi Wang 003; Sugato Basu; Wenhu Chen; William Yang Wang (NeurIPS, 2024)

Ferret-v2: An Improved Baseline for Referring and Grounding with Large Language Models. - Haotian Zhang 005; Haoxuan You; Philipp Dufter; Bowen Zhang 002; Chen Chen 005; Hong-You Chen; Tsu-Jui Fu; William Yang Wang; Shih-Fu Chang; Zhe Gan; Yinfei Yang (CoRR, 2024)

From Text to Pixel: Advancing Long-Context Understanding in MLLMs. - Yujie Lu; Xiujun Li; Tsu-Jui Fu; Miguel P. Eckstein; William Yang Wang (CoRR, 2024)

TC-Bench: Benchmarking Temporal Compositionality in Text-to-Video and Image-to-Video Generation. - Weixi Feng; Jiachen Li; Michael Saxon; Tsu-Jui Fu; Wenhu Chen; William Yang Wang (CoRR, 2024)

STIV: Scalable Text and Image Conditioned Video Generation. - Zongyu Lin; Wei Liu; Chen Chen 005; Jiasen Lu; Wenze Hu; Tsu-Jui Fu; Jesse Allardice; Zhengfeng Lai; Liangchen Song; Bowen Zhang 002; Cha Chen; Yiran Fei; et al. (CoRR, 2024)

Discffusion: Discriminative Diffusion Models as Few-shot Vision and Language Learners. - Xuehai He; Weixi Feng; Tsu-Jui Fu; Varun Jampani; Arjun R. Akula; Pradyumna Narayana; Sugato Basu; William Yang Wang; Xin Eric Wang (Trans. Mach. Learn. Res., 2024)

TC-Bench: Benchmarking Temporal Compositionality in Conditional Video Generation. - Weixi Feng; Jiachen Li; Michael Saxon; Tsu-Jui Fu; Wenhu Chen; William Yang Wang (ACL (Findings), 2025)

DiT-Air: Revisiting the Efficiency of Diffusion Model Architecture Design in Text to Image Generation. - Chen Chen; Rui Qian; Wenze Hu; Tsu-Jui Fu; Jialing Tong; Xinze Wang; Lezhi Li; Bowen Zhang; Alex Schwing; Wei Liu; Yinfei Yang (CoRR, 2025)

UniVG: A Generalist Diffusion Model for Unified Image Generation and Editing. - Tsu-Jui Fu; Yusu Qian; Chen Chen 005; Wenze Hu; Zhe Gan; Yinfei Yang (CoRR, 2025)

GIE-Bench: Towards Grounded Evaluation for Text-Guided Image Editing. - Yusu Qian; Jiasen Lu; Tsu-Jui Fu; Xinze Wang; Chen Chen; Yinfei Yang; Wenze Hu; Zhe Gan (CoRR, 2025)