Image Captioning with Compositional Neural Module Networks. - Junjiao Tian; Jean Oh (IJCAI, 2019)

When2com: Multi-Agent Perception via Communication Graph Grouping. - Yen-Cheng Liu; Junjiao Tian; Nathaniel Glaser; Zsolt Kira (CVPR, 2020)

Who2com: Collaborative Perception via Learnable Handshake Communication. - Yen-Cheng Liu; Junjiao Tian; Chih-Yao Ma; Nathan Glaser; Chia-Wen Kuo; Zsolt Kira (ICRA, 2020)

UNO: Uncertainty-aware Noisy-Or Multimodal Fusion for Unanticipated Input Degradation. - Junjiao Tian; Wesley Cheung; Nathaniel Glaser; Yen-Cheng Liu; Zsolt Kira (ICRA, 2020)

Posterior Re-calibration for Imbalanced Datasets. - Junjiao Tian; Yen-Cheng Liu; Nathaniel Glaser; Yen-Chang Hsu; Zsolt Kira (NeurIPS, 2020)

Overcoming Obstructions via Bandwidth-Limited Multi-Agent Spatial Handshaking. - Nathaniel Glaser; Yen-Cheng Liu; Junjiao Tian; Zsolt Kira (IROS, 2021)

A Geometric Perspective towards Neural Calibration via Sensitivity Decomposition. - Junjiao Tian; Dylan Yung; Yen-Chang Hsu; Zsolt Kira (NeurIPS, 2021)

Enhancing Multi-Robot Perception via Learned Data Association. - Nathaniel Glaser; Yen-Cheng Liu; Junjiao Tian; Zsolt Kira (CoRR, 2021)

Exploring Covariate and Concept Shift for Detection and Calibration of Out-of-Distribution Data. - Junjiao Tian; Yen-Chang Hsu; Yilin Shen; Hongxia Jin; Zsolt Kira (CoRR, 2021)

Open-Set Semi-Supervised Object Detection. - Yen-Cheng Liu; Chih-Yao Ma; Xiaoliang Dai; Junjiao Tian; Peter Vajda; Zijian He; Zsolt Kira (ECCV (30), 2022)

Striking the Right Balance: Recall Loss for Semantic Segmentation. - Junjiao Tian; Niluthpol Chowdhury Mithun; Zachary Seymour; Han-Pang Chiu; Zsolt Kira (ICRA, 2022)

Polyhistor: Parameter-Efficient Multi-Task Adaptation for Dense Vision Tasks. - Yen-Cheng Liu; Chih-Yao Ma; Junjiao Tian; Zijian He; Zsolt Kira (NeurIPS, 2022)

A Closer Look at Rehearsal-Free Continual Learning. - James Seale Smith; Junjiao Tian; Yen-Chang Hsu; Zsolt Kira (CoRR, 2022)

FedFOR: Stateless Heterogeneous Federated Learning with First-Order Regularization. - Junjiao Tian; James Seale Smith; Zsolt Kira (CoRR, 2022)

An Intelligence Architecture for Grounded Language Communication with Field Robots. - Thomas M. Howard; Ethan Stump; Jonathan Fink; Jacob Arkin; Rohan Paul; Daehyung Park; Subhro Roy; Daniel Barber; Rhyse Bendell; Karl Schmeckpeper; Junjiao Tian; Jean Oh; et al. (Field Robotics, 2022)

A Closer Look at Rehearsal-Free Continual Learning. - James Seale Smith; Junjiao Tian; Shaunak Halbe; Yen-Chang Hsu; Zsolt Kira (CVPR Workshops, 2023)

Trainable Projected Gradient Method for Robust Fine-Tuning. - Junjiao Tian; Xiaoliang Dai; Chih-Yao Ma; Zecheng He; Yen-Cheng Liu; Zsolt Kira (CVPR, 2023)

Fast Trainable Projection for Robust Fine-tuning. - Junjiao Tian; Yen-Cheng Liu; James Seale Smith; Zsolt Kira (NeurIPS, 2023)

HePCo: Data-Free Heterogeneous Prompt Consolidation for Continual Federated Learning. - Shaunak Halbe; James Seale Smith; Junjiao Tian; Zsolt Kira (CoRR, 2023)

Diffuse, Attend, and Segment: Unsupervised Zero-Shot Segmentation using Stable Diffusion. - Junjiao Tian; Lavisha Aggarwal; Andrea Colaco; Zsolt Kira; Mar González-Franco (CVPR, 2024)

Rethinking Weight Decay for Robust Fine-Tuning of Foundation Models. - Junjiao Tian; Chengyue Huang; Zsolt Kira (NeurIPS, 2024)

Grounding Descriptions in Images informs Zero-Shot Visual Recognition. - Shaunak Halbe; Junjiao Tian; K. J. Joseph; James Seale Smith; Katherine Stevo; Vineeth N. Balasubramanian; Zsolt Kira (CoRR, 2024)

Continual Adaptation of Vision Transformers for Federated Learning. - Shaunak Halbe; James Seale Smith; Junjiao Tian; Zsolt Kira (Trans. Mach. Learn. Res., 2024)

Robustness under distribution shifts in computer vision. - Junjiao Tian (2024)

Directional Gradient Projection for Robust Fine-Tuning of Foundation Models. - Chengyue Huang; Junjiao Tian; Brisa Maneechotesuwan; Shivang Chopra; Zsolt Kira (ICLR, 2025)

Token-Shuffle: Towards High-Resolution Image Generation with Autoregressive Models. - Xu Ma; Peize Sun; Haoyu Ma; Hao Tang; Chih-Yao Ma; Jialiang Wang 001; Kunpeng Li; Xiaoliang Dai; Yujun Shi; Xuan Ju; Yushi Hu; Artsiom Sanakoyeu; et al. (CoRR, 2025)