Dian Chen
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
30
Venues
16
Active years
2017–2026
Best venue rank
A*
Where they publish
Papers
30 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | PAKDD | X-MAP: eXplainable Misclassification Analysis and Profiling for Spam and Phishing Detection. | Qi Zhang, Dian Chen, Lance M. Kaplan, Audun Jsang, Dong Hyun Jeong, Feng Chen, Jin-Hee Cho |
| 2025 | AIES | Empirical Analysis of Privacy-Fairness-Accuracy Trade-offs in Federated Learning: A Step Towards Responsible AI. | Dawood Wasif, Dian Chen, Sindhuja Madabushi, Nithin Alluru, Terrence J. Moore, Jin-Hee Cho |
| 2025 | CHASE | Ethical AI for Healthcare Systems: Uncertainty-Aware, Fair Federated Learning. | Dian Chen, Qi Zhang, Lance M. Kaplan, Audun Jsang, Dong Hyun Jeong, Feng Chen, Jin-Hee Cho |
| 2025 | CVPR | Zero-Shot Novel View and Depth Synthesis with Multi-View Geometric Diffusion. | Vitor Guizilini, Muhammad Zubair Irshad, Dian Chen, Greg Shakhnarovich, Rares Ambrus |
| 2025 | ICDM | fair-LDP: Uncertainty-Guided Fairness and Privacy for Federated Healthcare Learning. | Dian Chen, Qi Zhang, Lance M. Kaplan, Audun Jsang, Dong Hyun Jeong, Feng Chen, Jin-Hee Cho |
| 2025 | ICRA | OmniShape: Zero-Shot Multi-Hypothesis Shape and Pose Estimation in the Real World. | Katherine Liu, Sergey Zakharov, Dian Chen, Takuya Ikeda, Greg Shakhnarovich, Adrien Gaidon, Rares Ambrus |
| 2025 | KDD | Bursting Filter Bubble: Enhancing Serendipity Recommendations with Aligned Large Language Models. | Yunjia Xi, Muyan Weng, Wen Chen, Chao Yi, Dian Chen, Gaoyang Guo, Mao Zhang, Jian Wu, Yuning Jiang, Qingwen Liu, Yong Yu, Weinan Zhang |
| 2025 | SIGGRAPH | Drag Your Gaussian: Effective Drag-Based Editing with Score Distillation for 3D Gaussian Splatting. | Yansong Qu, Dian Chen, Xinyang Li, Xiaofan Li, Shengchuan Zhang, Liujuan Cao, Rongrong Ji |
| 2024 | CVPR | pix2gestalt: Amodal Segmentation by Synthesizing Wholes. | Ege Ozguroglu, Ruoshi Liu, Ddac Surs, Dian Chen, Achal Dave, Pavel Tokmakov, Carl Vondrick |
| 2024 | ECCV | Learning to Drive via Asymmetric Self-Play. | Chris Zhang, Sourav Biswas, Kelvin Wong, Kion Fallah, Lunjun Zhang, Dian Chen, Sergio Casas, Raquel Urtasun |
| 2024 | ICRA | FSD: Fast Self-Supervised Single RGB-D to Categorical 3D Objects. | Mayank Lunayach, Sergey Zakharov, Dian Chen, Rares Ambrus, Zsolt Kira, Muhammad Zubair Irshad |
| 2024 | NOMS | eMTD: Energy-Aware Moving Target Defense for Sustainable Solar-powered Sensor-based Smart Farms. | Dian Chen, Ing-Ray Chen, Dong Sam Ha, Jin-Hee Cho |
| 2023 | CVPR | Viewpoint Equivariance for Multi-View 3D Object Detection. | Dian Chen, Jie Li, Vitor Guizilini, Rares Ambrus, Adrien Gaidon |
| 2023 | CVPR | Standing Between Past and Future: Spatio-Temporal Modeling for Multi-Camera 3D Multi-Object Tracking. | Ziqi Pang, Jie Li, Pavel Tokmakov, Dian Chen, Sergey Zagoruyko, Yu-Xiong Wang |
| 2023 | ICCV | Towards Zero-Shot Scale-Aware Monocular Depth Estimation. | Vitor Guizilini, Igor Vasiljevic, Dian Chen, Rares Ambrus, Adrien Gaidon |
| 2023 | ICCV | MotionLM: Multi-Agent Motion Forecasting as Language Modeling. | Ari Seff, Brian Cera, Dian Chen, Mason Ng, Aurick Zhou, Nigamaa Nayakanti, Khaled S. Refaat, Rami Al-Rfou, Benjamin Sapp |
| 2023 | ICRA | Depth Is All You Need for Monocular 3D Detection. | Dennis Park, Jie Li, Dian Chen, Vitor Guizilini, Adrien Gaidon |
| 2022 | CVPR | Learning from All Vehicles. | Dian Chen, Philipp Krhenbhl |
| 2022 | CVPR | Contrastive Test-Time Adaptation. | Dian Chen, Dequan Wang, Trevor Darrell, Sayna Ebrahimi |
| 2022 | CVPR | Coopernaut: End-to-End Driving with Cooperative Perception for Networked Vehicles. | Jiaxun Cui, Hang Qiu, Dian Chen, Peter Stone, Yuke Zhu |
| 2022 | CVPR | Multi-Frame Self-Supervised Depth with Transformers. | Vitor Guizilini, Rares Ambrus, Dian Chen, Sergey Zakharov, Adrien Gaidon |
| 2021 | ICCV | Learning to drive from a world on rails. | Dian Chen, Vladlen Koltun, Philipp Krhenbhl |
| 2021 | ICML | CARTL: Cooperative Adversarially-Robust Transfer Learning. | Dian Chen, Hongxin Hu, Qian Wang, Yinli Li, Cong Wang, Chao Shen, Qi Li |
| 2019 | CIKM | Nested Relation Extraction with Iterative Neural Network. | Yixuan Cao, Dian Chen, Hongwei Li, Ping Luo |
| 2019 | CoRL | Learning by Cheating. | Dian Chen, Brady Zhou, Vladlen Koltun, Philipp Krhenbhl |
| 2018 | CVPR | Zero-Shot Visual Imitation. | Deepak Pathak, Parsa Mahmoudieh, Guanghao Luo, Pulkit Agrawal, Dian Chen, Yide Shentu, Evan Shelhamer, Jitendra Malik, Alexei A. Efros, Trevor Darrell |
| 2018 | CVPR | Learning Instance Segmentation by Interaction. | Deepak Pathak, Yide Shentu, Dian Chen, Pulkit Agrawal, Trevor Darrell, Sergey Levine, Jitendra Malik |
| 2018 | ICLR | Zero-Shot Visual Imitation. | Deepak Pathak, Parsa Mahmoudieh, Guanghao Luo, Pulkit Agrawal, Dian Chen, Yide Shentu, Evan Shelhamer, Jitendra Malik, Alexei A. Efros, Trevor Darrell |
| 2018 | WISE | Topic-Net Conversation Model. | Min Peng, Dian Chen, Qianqian Xie, Yanchun Zhang, Hua Wang, Gang Hu, Wang Gao, Yihan Zhang |
| 2017 | ICRA | Combining self-supervised learning and imitation for vision-based rope manipulation. | Ashvin Nair, Dian Chen, Pulkit Agrawal, Phillip Isola, Pieter Abbeel, Jitendra Malik, Sergey Levine |