DeepDiary: Automatically Captioning Lifelogging Image Streams. - Chenyou Fan; David J. Crandall (ECCV Workshops (1), 2016)

DeepDiary: Automatic Caption Generation for Lifelogging Image Streams. - Chenyou Fan; David J. Crandall (CoRR, 2016)

Temporal attention filters for human activity recognition in videos. - A. J. Piergiovanni; Chenyou Fan; Michael S. Ryoo (CoRR, 2016)

Title Learning Latent Subevents in Activity Videos Using Temporal Attention Filters. - A. J. Piergiovanni; Chenyou Fan; Michael S. Ryoo (AAAI, 2017)

Identifying First-Person Camera Wearers in Third-Person Videos. - Chenyou Fan; Jangwon Lee 002; Mingze Xu; Krishna Kumar Singh; Yong Jae Lee; David J. Crandall; Michael S. Ryoo (CVPR, 2017)

Forecasting Hand and Object Locations in Future Frames. - Chenyou Fan; Jangwon Lee 002; Michael S. Ryoo (CoRR, 2017)

Forecasting Hands and Objects in Future Frames. - Chenyou Fan; Jangwon Lee 002; Michael S. Ryoo (ECCV Workshops (3), 2018)

Joint Person Segmentation and Identification in Synchronized First- and Third-Person Videos. - Mingze Xu; Chenyou Fan; Yuchen Wang; Michael S. Ryoo; David J. Crandall (ECCV (1), 2018)

Multi-task Spatiotemporal Neural Networks for Structured Surface Reconstruction. - Mingze Xu; Chenyou Fan; John D. Paden; Geoffrey C. Fox; David J. Crandall (WACV, 2018)

Improved Oracle Complexity for Stochastic Compositional Variance Reduced Gradient. - Tianyi Lin; Chenyou Fan; Mengdi Wang; Michael I. Jordan (CoRR, 2018)

Deepdiary: Lifelogging image captioning and summarization. - Chenyou Fan; Zehua Zhang; David J. Crandall (J. Vis. Commun. Image Represent., 2018)

Heterogeneous Memory Enhanced Multimodal Attention Model for Video Question Answering. - Chenyou Fan; Xiaofan Zhang 006; Shu Zhang 001; Wensheng Wang; Chi Zhang 012; Heng Huang (CVPR, 2019)

EgoVQA - An Egocentric Video Question Answering Benchmark Dataset. - Chenyou Fan (ICCV Workshops, 2019)

Multi-Horizon Time Series Forecasting with Temporal Attention Learning. - Chenyou Fan; Yuze Zhang; Yi Pan; Xiaoyue Li; Chi Zhang 012; Rong Yuan; Di Wu; Wensheng Wang; Jian Pei 001; Heng Huang (KDD, 2019)

Improved Sample Complexity for Stochastic Compositional Variance Reduced Gradient. - Tianyi Lin; Chengyou Fan; Mengdi Wang; Michael I. Jordan (ACC, 2020)

Projection Robust Wasserstein Distance and Riemannian Optimization. - Tianyi Lin; Chenyou Fan; Nhat Ho; Marco Cuturi; Michael I. Jordan (NeurIPS, 2020)

Federated Generative Adversarial Learning. - Chenyou Fan; Ping Liu (PRCV (3), 2020)

Few-Shot Multi-Agent Perception. - Chenyou Fan; Junjie Hu 003; Jianwei Huang 001 (ACM Multimedia, 2021)

Federated Few-Shot Learning with Adversarial Learning. - Chenyou Fan; Jianwei Huang 001 (WiOpt, 2021)

Boosting Light-Weight Depth Estimation Via Knowledge Distillation. - Junjie Hu 003; Chenyou Fan; Hualie Jiang; Xiyue Guo; Xiangyong Lu; Tin Lun Lam (CoRR, 2021)

AgreementLearning: An End-to-End Framework for Learning with Multiple Annotators without Groundtruth. - Chongyang Wang; Yuan Gao 024; Chenyou Fan; Junjie Hu 003; Tin Lun Lam; Nicholas D. Lane; Nadia Bianchi-Berthouze (CoRR, 2021)

A novel few-shot learning based multi-modality fusion model for COVID-19 rumor detection from online social media. - Hengyang Lu; Chenyou Fan; Xiaoning Song; Wei Fang 001 (PeerJ Comput. Sci., 2021)

Where to Attack: A Dynamic Locator Model for Backdoor Attack in Text Classifications. - Heng-Yang Lu; Chenyou Fan; Jun Yang 038; Cong Hu; Wei Fang 001; Xiao-Jun Wu 001 (COLING, 2022)

Private Semi-Supervised Federated Learning. - Chenyou Fan; Junjie Hu 003; Jianwei Huang 001 (IJCAI, 2022)

Deep Depth Completion: A Survey. - Junjie Hu 003; Chenyu Bao; Mete Ozay; Chenyou Fan; Qing Gao 002; Honghai Liu 001; Tin Lun Lam (CoRR, 2022)

Data-free Dense Depth Distillation. - Junjie Hu 003; Chenyou Fan; Mete Ozay; Hualie Jiang; Tin Lun Lam (CoRR, 2022)

Progressive Self-Distillation for Ground-to-Aerial Perception Knowledge Transfer. - Junjie Hu 003; Chenyou Fan; Hua Feng; Yuan Gao 024; Tin Lun Lam (CoRR, 2022)

RL-Based CEP Operator Placement Method on Edge Networks Using Response Time Feedback. - Yuyou Wang; Hao Hu 001; Hongyu Kuang; Chenyou Fan; Liang Wang 006; Xianping Tao (WISA, 2023)

A Novel Differentiable Rank Learning Method Towards Stock Movement Quantile Forecasting. - Chenyou Fan; Hengyang Lu; Aimin Huang (ECAI, 2023)

Machine Learning Model Trading with Information Asymmetry. - Xiang Li; Jianwei Huang 001; Kai Yang 001; Chenyou Fan (ICC, 2023)

Trajectory Prediction with Contrastive Pre-training and Social Rank Fine-Tuning. - Chenyou Fan; Haiqi Jiang 003; Aimin Huang; Junjie Hu 003 (ICONIP (10), 2023)

Pre-trained Financial Model for Price Movement Forecasting. - Chenyou Fan; Tianqi Pang; Aimin Huang (ICONIP (15), 2023)

Carbon Price Forecasting with Quantile Regression and Feature Selection. - Tianqi Pang; Kehui Tan; Chenyou Fan (ISCSIC, 2023)

Boosting LightWeight Depth Estimation via Knowledge Distillation. - Junjie Hu 003; Chenyou Fan; Hualie Jiang; Xiyue Guo; Yuan Gao 024; Xiangyong Lu; Tin Lun Lam (KSEM (1), 2023)

Federated Prompting and Chain-of-Thought Reasoning for Improving LLMs Answering. - Xiangyang Liu; Tianqi Pang; Chenyou Fan (KSEM (4), 2023)

Learn2Agree: Fitting with Multiple Annotators Without Objective Ground Truth. - Chongyang Wang; Yuan Gao 024; Chenyou Fan; Junjie Hu 003; Tin Lum Lam; Nicholas D. Lane; Nadia Bianchi-Berthouze (TML4H, 2023)

Lifelong-MonoDepth: Lifelong Learning for Multi-Domain Monocular Metric Depth Estimation. - Junjie Hu 003; Chenyou Fan; Liguang Zhou; Qing Gao 002; Honghai Liu 001; Tin Lun Lam (CoRR, 2023)

Towards Applying Powerful Large AI Models in Classroom Teaching: Opportunities, Challenges and Prospects. - Kehui Tan; Tianqi Pang; Chenyou Fan (CoRR, 2023)

Low-Parameter Federated Learning with Large Language Models. - Jingang Jiang 003; Xiangyang Liu; Chenyou Fan (CoRR, 2023)

Sci-CoT: Leveraging Large Language Models for Enhanced Knowledge Distillation in Small Models for Scientific QA. - Yuhan Ma; Haiqi Jiang 003; Chenyou Fan (CoRR, 2023)

Deep Depth Completion From Extremely Sparse Data: A Survey. - Junjie Hu 003; Chenyu Bao; Mete Ozay; Chenyou Fan; Qing Gao 002; Honghai Liu 001; Tin Lun Lam (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Few-Shot Multi-Agent Perception With Ranking-Based Feature Learning. - Chenyou Fan; Junjie Hu 003; Jianwei Huang 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Self-Supervised Single-Line LiDAR Depth Completion. - Junjie Hu 003; Chenyou Fan; Xiyue Guo; Liguang Zhou; Tin Lun Lam (IEEE Robotics Autom. Lett., 2023)

Emergent leader-follower relationship in networked multiagent systems. - Jinzhuo Liu; Chenyou Fan; Yunchen Peng; Jinze Du; Zhen Wang 004; Chen Chu (Sci. China Inf. Sci., 2023)

Low-Parameter Federated Learning with Large Language Models. - Jingang Jiang 003; Haiqi Jiang 003; Yuhan Ma; Xiangyang Liu; Chenyou Fan (WISA, 2024)

Medical Document Embedding Enhancement with Heterogeneous Mixture-of-Experts. - Xiangyang Liu; Yi Zhu; Tianqi Pang; Kui Xue; Xiaofan Zhang 006; Chenyou Fan (BIBM, 2024)

Carbon Price Forecasting with LLM-Based Refinement and Transfer-Learning. - Haiqi Jiang 003; Ying Ding 007; Rui Chen; Chenyou Fan (ICANN (9), 2024)

REMED: Retrieval-Augmented Medical Document Query Responding with Embedding Fine-Tuning. - Tianqi Pang; Kehui Tan; Yujun Yao; Xiangyang Liu; Fanlong Meng; Chenyou Fan; Xiaofan Zhang 006 (IJCNN, 2024)

TeMME: Temporal Knowledge Graph Completion Using Multi-grade Multivector Embeddings. - Heng-Yang Lu; Hao-Kun Yu; Chenyou Fan; Qianyi Zhan; Wei Fang 001; Xiaojun Wu 001 (PRICAI (4), 2024)

Task-agnostic Pre-training and Task-guided Fine-tuning for Versatile Diffusion Planner. - Chenyou Fan; Chenjia Bai; Zhao Shan; Haoran He; Yang Zhang; Zhen Wang 004 (CoRR, 2024)

Who is Undercover? Guiding LLMs to Explore Multi-Perspective Team Tactic in the Game. - Ruiqi Dong; Zhixuan Liao 001; Guangwei Lai; Yuhan Ma; Danni Ma; Chenyou Fan (CoRR, 2024)

Dense depth distillation with out-of-distribution simulated images. - Junjie Hu 003; Chenyou Fan; Mete Ozay; Hualie Jiang; Tin Lun Lam (Knowl. Based Syst., 2024)

Forward KL Regularized Preference Optimization for Aligning Diffusion Policies. - Zhao Shan; Chenyou Fan; Shuang Qiu; Jiyuan Shi; Chenjia Bai (AAAI, 2025)

Hybrid Feature Fusion for Enhancing Medical Document Embedding. - Yi Zhu; Xiangyang Liu; Tianqi Pang; Xuncan Xiao; Xiaofan Zhang 006; Chenyou Fan (ICASSP, 2025)

Knowledge-guided prompt-based continual learning: Aligning task-prompts through contrastive hard negatives. - Hengyang Lu; Long-kang Lin; Chenyou Fan; Chongjun Wang; Wei Fang 001; Xiaojun Wu 001 (Knowl. Based Syst., 2025)

MuSIA: Exploiting multi-source information fusion with abnormal activations for out-of-distribution detection. - Hengyang Lu; Xin Guo; Wenyu Jiang; Chenyou Fan; Yuntao Du 001; Zhenhao Shao; Wei Fang 001; Xiaojun Wu 001 (Neural Networks, 2025)

Lifelong-MonoDepth: Lifelong Learning for Multidomain Monocular Metric Depth Estimation. - Junjie Hu 003; Chenyou Fan; Liguang Zhou; Qing Gao 002; Honghai Liu 001; Tin Lun Lam (IEEE Trans. Neural Networks Learn. Syst., 2025)

Towards a Generalizable Bimanual Foundation Policy via Flow-based Video Prediction. - Chenyou Fan; Fangzheng Yan; Chenjia Bai; Jiepeng Wang 005; Chi Zhang 012; Zhen Wang 004; Xuelong Li 001 (CoRR, 2025)

Learning Robust Stereo Matching in the Wild with Selective Mixture-of-Experts. - Yun Wang; Longguang Wang; Chenghao Zhang; Yongjian Zhang; Zhanjie Zhang; Ao Ma; Chenyou Fan; Tin Lun Lam; Junjie Hu 003 (CoRR, 2025)

Unlocking Drone Perception in Low AGL Heights: Progressive Semi-Supervised Learning for Ground-to-Aerial Perception Knowledge Transfer. - Junjie Hu 003; Chenyou Fan; Mete Ozay; Hua Feng; Yuan Gao 024; Tin Lun Lam (IEEE Trans. Intell. Transp. Syst., 2025)