GraphBit: Bitwise Interaction Mining via Deep Reinforcement Learning. - Yueqi Duan; Ziwei Wang 001; Jiwen Lu; Xudong Lin 003; Jie Zhou 001 (CVPR, 2018)

Deep Adversarial Metric Learning. - Yueqi Duan; Wenzhao Zheng; Xudong Lin 003; Jiwen Lu; Jie Zhou 001 (CVPR, 2018)

Deep Variational Metric Learning. - Xudong Lin 003; Yueqi Duan; Qiyuan Dong; Jiwen Lu; Jie Zhou 001 (ECCV (15), 2018)

DMC-Net: Generating Discriminative Motion Cues for Fast Compressed Video Action Recognition. - Zheng Shou 001; Xudong Lin 003; Yannis Kalantidis; Laura Sevilla-Lara; Marcus Rohrbach; Shih-Fu Chang; Zhicheng Yan 001 (CVPR, 2019)

Unsupervised Rank-Preserving Hashing for Large-Scale Image Retrieval. - Svebor Karaman; Xudong Lin 003; Xuefeng Hu; Shih-Fu Chang (ICMR, 2019)

LPAT: Learning to Predict Adaptive Threshold for Weakly-supervised Temporal Action Localization. - Xudong Lin 003; Zheng Shou 001; Shih-Fu Chang (CoRR, 2019)

Flow-Distilled IP Two-Stream Networks for Compressed Video Action Recognition. - Shiyuan Huang; Xudong Lin 003; Svebor Karaman; Shih-Fu Chang (CoRR, 2019)

Context-Gated Convolution. - Xudong Lin 003; Lin Ma 002; Wei Liu 005; Shih-Fu Chang (ECCV (18), 2020)

Vx2Text: End-to-End Learning of Video-Based Text Generation From Multimodal Inputs. - Xudong Lin 003; Gedas Bertasius; Jue Wang 001; Shih-Fu Chang; Devi Parikh; Lorenzo Torresani (CVPR, 2021)

Co-Grounding Networks With Semantic Attention for Referring Expression Comprehension in Videos. - Sijie Song; Xudong Lin 003; Jiaying Liu 001; Zongming Guo; Shih-Fu Chang (CVPR, 2021)

Joint Multimedia Event Extraction from Video and Article. - Brian Chen 001; Xudong Lin 003; Christopher Thomas 004; Manling Li; Shoya Yoshida; Lovish Chum; Heng Ji 001; Shih-Fu Chang (EMNLP (Findings), 2021)

RESIN: A Dockerized Schema-Guided Cross-document Cross-lingual Cross-media Information Extraction and Event Tracking System. - Haoyang Wen; Ying Lin; Tuan Manh Lai; Xiaoman Pan; Sha Li; Xudong Lin 003; Ben Zhou; Manling Li; Haoyu Wang 005; Hongming Zhang 009; Xiaodong Yu 003; Alexander Dong; et al. (NAACL-HLT (Demonstrations), 2021)

Video-Text Pre-training with Learned Regions. - Rui Yan 010; Mike Zheng Shou; Yixiao Ge; Alex Jinpeng Wang; Xudong Lin 003; Guanyu Cai; Jinhui Tang 001 (CoRR, 2021)

MuMuQA: Multimedia Multi-Hop News Question Answering via Cross-Media Knowledge Extraction and Grounding. - Revanth Gangi Reddy; Xilin Rui; Manling Li; Xudong Lin 003; Haoyang Wen; Jaemin Cho 001; Lifu Huang; Mohit Bansal; Avirup Sil; Shih-Fu Chang; Alexander G. Schwing; Heng Ji 001 (AAAI, 2022)

Learning To Recognize Procedural Activities with Distant Supervision. - Xudong Lin 003; Fabio Petroni; Gedas Bertasius; Marcus Rohrbach; Shih-Fu Chang; Lorenzo Torresani (CVPR, 2022)

CLIP-Event: Connecting Text and Images with Event Structures. - Manling Li; Ruochen Xu; Shuohang Wang; Luowei Zhou; Xudong Lin 003; Chenguang Zhu 001; Michael Zeng 001; Heng Ji 001; Shih-Fu Chang (CVPR, 2022)

Object-aware Video-language Pre-training for Retrieval. - Alex Jinpeng Wang; Yixiao Ge; Guanyu Cai; Rui Yan 001; Xudong Lin 003; Ying Shan; Xiaohu Qie; Mike Zheng Shou (CVPR, 2022)

Weakly-Supervised Temporal Article Grounding. - Long Chen 016; Yulei Niu; Brian Chen 001; Xudong Lin 003; Guangxing Han; Christopher Thomas 004; Hammad A. Ayyubi; Heng Ji 001; Shih-Fu Chang (EMNLP, 2022)

Language Models with Image Descriptors are Strong Few-Shot Video-Language Learners. - Zhenhailong Wang; Manling Li; Ruochen Xu; Luowei Zhou; Jie Lei 003; Xudong Lin 003; Shuohang Wang; Ziyi Yang; Chenguang Zhu 001; Derek Hoiem; Shih-Fu Chang; Mohit Bansal; et al. (NeurIPS, 2022)

All in One: Exploring Unified Video-Language Pre-training. - Alex Jinpeng Wang; Yixiao Ge; Rui Yan 001; Yuying Ge; Xudong Lin 003; Guanyu Cai; Jianping Wu; Ying Shan; Xiaohu Qie; Mike Zheng Shou (CoRR, 2022)

Revitalize Region Feature for Democratizing Video-Language Pre-training. - Guanyu Cai; Yixiao Ge; Alex Jinpeng Wang; Rui Yan 001; Xudong Lin 003; Ying Shan; Lianghua He; Xiaohu Qie; Jianping Wu; Mike Zheng Shou (CoRR, 2022)

Multimodal Event Graphs: Towards Event Centric Understanding of Multimodal World. - Hammad A. Ayyubi; Christopher Thomas 004; Lovish Chum; Rahul Lokesh; Yulei Niu; Xudong Lin 003; Long Chen 016; Jaywon Koo; Sounak Ray; Shih-Fu Chang (CoRR, 2022)

Video-Text Pre-training with Learned Regions for Retrieval. - Rui Yan 010; Mike Zheng Shou; Yixiao Ge; Jinpeng Wang 001; Xudong Lin 003; Guanyu Cai; Jinhui Tang 001 (AAAI, 2023)

Video Event Extraction via Tracking Visual States of Arguments. - Guang Yang 046; Manling Li; Jiajie Zhang; Xudong Lin 003; Heng Ji 001; Shih-Fu Chang (AAAI, 2023)

Non-Sequential Graph Script Induction via Multimedia Grounding. - Yu Zhou 030; Sha Li; Manling Li; Xudong Lin 003; Shih-Fu Chang; Mohit Bansal; Heng Ji 001 (ACL (1), 2023)

Towards Fast Adaptation of Pretrained Contrastive Models for Multi-channel Video-Language Retrieval. - Xudong Lin 003; Simran Tiwari; Shiyuan Huang; Manling Li; Mike Zheng Shou; Heng Ji 001; Shih-Fu Chang (CVPR, 2023)

Supervised Masked Knowledge Distillation for Few-Shot Transformers. - Han Lin; Guangxing Han; Jiawei Ma; Shiyuan Huang; Xudong Lin 003; Shih-Fu Chang (CVPR, 2023)

In Defense of Structural Symbolic Representation for Video Event-Relation Prediction. - Andrew Lu; Xudong Lin 003; Yulei Niu; Shih-Fu Chang (CVPR Workshops, 2023)

Language Models are Causal Knowledge Extractors for Zero-shot Video Question Answering. - Hung-Ting Su; Yulei Niu; Xudong Lin 003; Winston H. Hsu; Shih-Fu Chang (CVPR Workshops, 2023)

All in One: Exploring Unified Video-Language Pre-Training. - Jinpeng Wang 001; Yixiao Ge; Rui Yan 001; Yuying Ge; Kevin Qinghong Lin; Satoshi Tsutsui; Xudong Lin 003; Guanyu Cai; Jianping Wu; Ying Shan; Xiaohu Qie; Mike Zheng Shou (CVPR, 2023)

Learning to Decompose Visual Features with Latent Textual Prompts. - Feng Wang 047; Manling Li; Xudong Lin 003; Hairong Lv; Alexander G. Schwing; Heng Ji 001 (ICLR, 2023)

TempCLR: Temporal Alignment Representation with Contrastive Learning. - Yuncong Yang; Jiawei Ma; Shiyuan Huang; Long Chen 016; Xudong Lin 003; Guangxing Han; Shih-Fu Chang (ICLR, 2023)

Video Summarization: Towards Entity-Aware Captions. - Hammad A. Ayyubi; Tianqi Liu 002; Arsha Nagrani; Xudong Lin 003; Mingda Zhang; Anurag Arnab; Feng Han; Yukun Zhu; Jialu Liu; Shih-Fu Chang (CoRR, 2023)

Beyond Grounding: Extracting Fine-Grained Event Hierarchies across Modalities. - Hammad A. Ayyubi; Christopher Thomas 004; Lovish Chum; Rahul Lokesh; Long Chen 016; Yulei Niu; Xudong Lin 003; Xuande Feng; Jaywon Koo; Sounak Ray; Shih-Fu Chang (AAAI, 2024)

BLINK: Multimodal Large Language Models Can See but Not Perceive. - Xingyu Fu; Yushi Hu; Bangzheng Li; Yu Feng 013; Haoyu Wang 005; Xudong Lin 003; Dan Roth 001; Noah A. Smith; Wei-Chiu Ma; Ranjay Krishna (ECCV (23), 2024)

Training-free Deep Concept Injection Enables Language Models for Video Question Answering. - Xudong Lin 003; Manling Li; Richard S. Zemel; Heng Ji 001; Shih-Fu Chang (EMNLP, 2024)

VIEWS: Entity-Aware News Video Captioning. - Hammad A. Ayyubi; Tianqi Liu 002; Arsha Nagrani; Xudong Lin 003; Mingda Zhang; Anurag Arnab; Feng Han; Yukun Zhu; Xuande Feng; Kevin Zhang; Jialu Liu; Shih-Fu Chang (EMNLP, 2024)

Personalized Video Comment Generation. - Xudong Lin 003; Ali Zare; Shiyuan Huang; Ming-Hsuan Yang 003; Shih-Fu Chang; Li Zhang (EMNLP (Findings), 2024)

Unveiling Narrative Reasoning Limits of Large Language Models with Trope in Movie Synopses. - Hung-Ting Su; Ya-Ching Hsu; Xudong Lin 003; Xiang Qian Shi 002; Yulei Niu; Han-Yuan Hsu; Hung-yi Lee; Winston H. Hsu (EMNLP (Findings), 2024)

SCHEMA: State CHangEs MAtter for Procedure Planning in Instructional Videos. - Yulei Niu; Wenliang Guo; Long Chen 016; Xudong Lin 003; Shih-Fu Chang (ICLR, 2024)

Investigating Video Reasoning Capability of Large Language Models with Tropes in Movies. - Hung-Ting Su; Chun-Tong Chao; Ya-Ching Hsu; Xudong Lin 003; Yulei Niu; Hung-Yi Lee; Winston H. Hsu (CoRR, 2024)

A New Framework and Novel Techniques to Multimodal Concept Representation and Fusion - Xudong Lin 003 (2024)

PuzzleGPT: Emulating Human Puzzle-Solving Ability for Time and Location Prediction. - Hammad A. Ayyubi; Xuande Feng; Junzhang Liu; Xudong Lin 003; Zhecan Wang; Shih-Fu Chang (NAACL (Findings), 2025)

ENTER: Event Based Interpretable Reasoning for VideoQA. - Hammad A. Ayyubi; Junzhang Liu; Ali Asgarov; Zaber Ibn Abdul Hakim; Najibul Haque Sarker; Zhecan Wang; Chia-Wei Tang; Hani Alomari; Md. Atabuzzaman; Xudong Lin 003; Naveen Reddy Dyava; Shih-Fu Chang; et al. (CoRR, 2025)