Compression for the feature points with binary descriptors. - Jian-Jiun Ding; Szu-Wei Fu; Ching-Wen Hsiao; Pin-Xuan Lee; Yen-Chun Chen 001 (DSP, 2014)

Fast Abstractive Summarization with Reinforce-Selected Sentence Rewriting. - Yen-Chun Chen 001; Mohit Bansal (ACL (1), 2018)

PAWS: A Wearable Acoustic System for Pedestrian Safety. - Daniel de Godoy; Bashima Islam; Stephen Xia; Md Tamzeed Islam; Rishikanth Chandrasekaran; Yen-Chun Chen 001; Shahriar Nirjon; Peter R. Kinget; Xiaofan Jiang 001 (IoTDI, 2018)

Explore, Propose, and Assemble: An Interpretable Model for Multi-Hop Reading Comprehension. - Yichen Jiang; Nitish Joshi; Yen-Chun Chen 001; Mohit Bansal (ACL (1), 2019)

UNITER: Learning UNiversal Image-TExt Representations. - Yen-Chun Chen 001; Linjie Li; Licheng Yu; Ahmed El Kholy; Faisal Ahmed 001; Zhe Gan; Yu Cheng 001; Jingjing Liu 001 (CoRR, 2019)

Distilling the Knowledge of BERT for Text Generation. - Yen-Chun Chen 001; Zhe Gan; Yu Cheng 001; Jingzhou Liu; Jingjing Liu 001 (CoRR, 2019)

Distilling Knowledge Learned in BERT for Text Generation. - Yen-Chun Chen 001; Zhe Gan; Yu Cheng 001; Jingzhou Liu; Jingjing Liu 001 (ACL, 2020)

DIALOGPT : Large-Scale Generative Pre-training for Conversational Response Generation. - Yizhe Zhang 002; Siqi Sun; Michel Galley; Yen-Chun Chen 001; Chris Brockett; Xiang Gao 011; Jianfeng Gao 001; Jingjing Liu 001; Bill Dolan (ACL (demo), 2020)

Behind the Scene: Revealing the Secrets of Pre-trained Vision-and-Language Models. - Jize Cao; Zhe Gan; Yu Cheng 001; Licheng Yu; Yen-Chun Chen 001; Jingjing Liu 001 (ECCV (6), 2020)

UNITER: UNiversal Image-TExt Representation Learning. - Yen-Chun Chen 001; Linjie Li; Licheng Yu; Ahmed El Kholy; Faisal Ahmed 001; Zhe Gan; Yu Cheng 001; Jingjing Liu 001 (ECCV (30), 2020)

HERO: Hierarchical Encoder for Video+Language Omni-representation Pre-training. - Linjie Li; Yen-Chun Chen 001; Yu Cheng 001; Zhe Gan; Licheng Yu; Jingjing Liu 001 (EMNLP (1), 2020)

Large-Scale Adversarial Training for Vision-and-Language Representation Learning. - Zhe Gan; Yen-Chun Chen 001; Linjie Li; Chen Zhu 001; Yu Cheng 001; Jingjing Liu 001 (NeurIPS, 2020)

Cluster-Former: Clustering-based Sparse Transformer for Long-Range Dependency Encoding. - Shuohang Wang; Luowei Zhou; Zhe Gan; Yen-Chun Chen 001; Yuwei Fang; Siqi Sun; Yu Cheng 001; Jingjing Liu 001 (CoRR, 2020)

Cluster-Former: Clustering-based Sparse Transformer for Question Answering. - Shuohang Wang; Luowei Zhou; Zhe Gan; Yen-Chun Chen 001; Yuwei Fang; Siqi Sun; Yu Cheng 001; Jingjing Liu 001 (ACL/IJCNLP (Findings), 2021)

LightningDOT: Pre-training Visual-Semantic Embeddings for Real-Time Image-Text Retrieval. - Siqi Sun; Yen-Chun Chen 001; Linjie Li; Shuohang Wang; Yuwei Fang; Jingjing Liu 001 (NAACL-HLT, 2021)

VALUE: A Multi-Task Benchmark for Video-and-Language Understanding Evaluation. - Linjie Li; Jie Lei 003; Zhe Gan; Licheng Yu; Yen-Chun Chen 001; Rohit Pillai; Yu Cheng 001; Luowei Zhou; Xin Wang 061; William Yang Wang; Tamara L. Berg; Mohit Bansal; et al. (NeurIPS Datasets and Benchmarks, 2021)

Playing Lottery Tickets with Vision and Language. - Zhe Gan; Yen-Chun Chen 001; Linjie Li; Tianlong Chen 001; Yu Cheng 001; Shuohang Wang; Jingjing Liu 001 (CoRR, 2021)

Playing Lottery Tickets with Vision and Language. - Zhe Gan; Yen-Chun Chen 001; Linjie Li; Tianlong Chen 001; Yu Cheng 001; Shuohang Wang; Jingjing Liu 001; Lijuan Wang; Zicheng Liu 001 (AAAI, 2022)

GLIPv2: Unifying Localization and Vision-Language Understanding. - Haotian Zhang 005; Pengchuan Zhang; Xiaowei Hu 006; Yen-Chun Chen 001; Liunian Harold Li; Xiyang Dai; Lijuan Wang; Lu Yuan; Jenq-Neng Hwang; Jianfeng Gao 001 (NeurIPS, 2022)

CLIP-TD: CLIP Targeted Distillation for Vision-Language Tasks. - Zhecan Wang; Noel Codella; Yen-Chun Chen 001; Luowei Zhou; Jianwei Yang; Xiyang Dai; Bin Xiao 004; Haoxuan You; Shih-Fu Chang; Lu Yuan (CoRR, 2022)

Multimodal Adaptive Distillation for Leveraging Unimodal Encoders for Vision-Language Tasks. - Zhecan Wang; Noel Codella; Yen-Chun Chen 001; Luowei Zhou; Xiyang Dai; Bin Xiao 004; Jianwei Yang; Haoxuan You; Kai-Wei Chang; Shih-Fu Chang; Lu Yuan (CoRR, 2022)

Frido: Feature Pyramid Diffusion for Complex Scene Image Synthesis. - Wan-Cyuan Fan; Yen-Chun Chen 001; Dongdong Chen 001; Yu Cheng 001; Lu Yuan; Yu-Chiang Frank Wang (AAAI, 2023)

LACMA: Language-Aligning Contrastive Learning with Meta-Actions for Embodied Instruction Following. - Cheng-Fu Yang; Yen-Chun Chen 001; Jianwei Yang; Xiyang Dai; Lu Yuan; Yu-Chiang Frank Wang; Kai-Wei Chang (EMNLP, 2023)

Modality-Independent Teachers Meet Weakly-Supervised Audio-Visual Event Parser. - Yung-Hsuan Lai; Yen-Chun Chen 001; Frank Wang (NeurIPS, 2023)

Uni-ControlNet: All-in-One Control to Text-to-Image Diffusion Models. - Shihao Zhao; Dongdong Chen 001; Yen-Chun Chen 001; Jianmin Bao; Shaozhe Hao; Lu Yuan; Kwan-Yee K. Wong (NeurIPS, 2023)

Modality-Independent Teachers Meet Weakly-Supervised Audio-Visual Event Parser. - Yung-Hsuan Lai; Yen-Chun Chen 001; Yu-Chiang Frank Wang (CoRR, 2023)

ReXTime: A Benchmark Suite for Reasoning-Across-Time in Videos. - Jr-Jen Chen; Yu-Chien Liao; Hsi-Che Lin; Yu-Chu Yu; Yen-Chun Chen 001; Yu-Chiang Frank Wang (NeurIPS, 2024)

On Pre-training of Multimodal Language Models Customized for Chart Understanding. - Wan-Cyuan Fan; Yen-Chun Chen 001; Mengchen Liu; Lu Yuan; Leonid Sigal (CoRR, 2024)

iFusion: Inverting Diffusion for Pose-Free Reconstruction From Sparse Views. - Chin-Hsuan Wu; Yen-Chun Chen 001; Bolivar Solarte; Lu Yuan; Min Sun 001 (3DV, 2025)

Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs. - Abdelrahman Abouelenin; Atabak Ashfaq; Adam Atkinson; Hany Awadalla; Nguyen Bach; Jianmin Bao; Alon Benhaim; Martin Cai; Vishrav Chaudhary; Congcong Chen; Dong Chen 003; Dongdong Chen 001; et al. (CoRR, 2025)

Phi-4-Mini-Reasoning: Exploring the Limits of Small Reasoning Language Models in Math. - Haoran Xu; Baolin Peng; Hany Awadalla; Dongdong Chen 001; Yen-Chun Chen 001; Mei Gao; Young Jin Kim 001; Yunsheng Li; Liliang Ren; Yelong Shen; Shuohang Wang; Weijian Xu; et al. (CoRR, 2025)

In-Depth and In-Breadth: Pre-training Multimodal Language Models Customized for Comprehensive Chart Understanding. - Wan-Cyuan Fan; Yen-Chun Chen 001; Mengchen Liu; Alexander Jacobson; Lu Yuan; Leonid Sigal (CoRR, 2025)