Austin Wang

According to our database, Austin Wang authored at least 16 papers between 2004 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Discrete Diffusion Trajectory Alignment via Stepwise Decomposition.

Jiaqi Han, Austin Wang, Minkai Xu, Wenda Chu, Meihua Dang, Yisong Yue, Stefano Ermon

CoRR, July, 2025

VADER: A Human-Evaluated Benchmark for Vulnerability Assessment, Detection, Explanation, and Remediation.

Ethan TS. Liu, Austin Wang, Spencer Mateega, Carlos Georgescu, Danny Tang

CoRR, May, 2025

Ensemble Kalman Diffusion Guidance: A Derivative-free Method for Inverse Problems.

Hongkai Zheng, Wenda Chu, Austin Wang, Nikola Borislavov Kovachki, Ricardo Baptista, Yisong Yue

Trans. Mach. Learn. Res., 2025

InverseBench: Benchmarking Plug-and-Play Diffusion Priors for Inverse Problems in Physical Sciences.

Hongkai Zheng, Wenda Chu, Bingliang Zhang, Zihui Wu, Austin Wang, Berthy Feng, Caifeng Zou, Yu Sun, Nikola Borislavov Kovachki, Zachary E. Ross, Katherine L. Bouman, Yisong Yue

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMs.

Shengbang Tong, Ellis Brown, Penghao Wu, Sanghyun Woo, Manoj Middepogu, Sai Charitha Akula, Jihan Yang, Shusheng Yang, Adithya Iyer, Xichen Pan, Austin Wang, Rob Fergus, Yann LeCun, Saining Xie

CoRR, 2024

DART-Eval: A Comprehensive DNA Language Model Evaluation Benchmark on Regulatory DNA.

Aman Patel, Arpita Singhal, Austin Wang, Anusri Pampari, Maya Kasowski, Anshul Kundaje

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2021

Personalized Lecture Recommendations to Facilitate Bite-Sized Learning.

Meltem Tutar, Austin Wang, Gulsen Kutluoglu

Proceedings of the L@S'21: Eighth ACM Conference on Learning @ Scale, 2021

Chasing Play on TikTok from Populations with Disabilities to Inspire Playful and Inclusive Technology Design.

Jared Duval, Ferran Altarriba Bertran, Siying Chen, Melissa Chu, Divya Subramonian, Austin Wang, Geoffrey Xiang, Sri Kurniawan, Katherine Isbister

Proceedings of the CHI '21: CHI Conference on Human Factors in Computing Systems, 2021

2020

How are you feeling? Multimodal Emotion Learning for Socially-Assistive Robot Navigation.

Aniket Bera, Tanmay Randhavane, Rohan Prinja, Kyra Kapsaskis, Austin Wang, Kurt Gray, Dinesh Manocha

Proceedings of the 15th IEEE International Conference on Automatic Face and Gesture Recognition, 2020

2019

The Emotionally Intelligent Robot: Improving Social Navigation in Crowded Environments.

Aniket Bera, Tanmay Randhavane, Rohan Prinja, Kyra Kapsaskis, Austin Wang, Kurt Gray, Dinesh Manocha

CoRR, 2019

A False Sense of Home Security - Exposing the Vulnerability in Away Mode of Smart Plugs.

Austin Wang, Shahriar Nirjon

Proceedings of the IEEE International Conference on Pervasive Computing and Communications Workshops, 2019

Pedestrian Dominance Modeling for Socially-Aware Robot Navigation.

Tanmay Randhavane, Aniket Bera, Emily Kubin, Austin Wang, Kurt Gray, Dinesh Manocha

Proceedings of the International Conference on Robotics and Automation, 2019

2018

The Socially Invisible Robot Navigation in the Social World Using Robot Entitativity.

Aniket Bera, Tanmay Randhavane, Emily Kubin, Austin Wang, Kurt Gray, Dinesh Manocha

Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Classifying Group Emotions for Socially-Aware Autonomous Vehicle Navigation.

Aniket Bera, Tanmay Randhavane, Austin Wang, Dinesh Manocha, Emily Kubin, Kurt Gray

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

2015

Sustainability in an imaginary world.

Roy Bendor, Junia Anacleto, Drew Facey, Sidney S. Fels, Tim Herron, David Maggs, Rachel Peake, John Robinson, Michael Robinson, Jon Salter, Stephen Sheppard, Obi Vattanawong, Austin Wang, Steve Williams

Interactions, 2015

2004

Sam Goes to School: Story Listening Systems in the Classroom.

Colleen M. Kehoe, Justine Cassell, Susan Goldman, James Dai, Ian Gouldstone, Shaunna MacLeod, Traci O'Day, Anna Pandolfo, Kimiko Ryokai, Austin Wang

Proceedings of the Embracing Diversity in the Learning Sciences: Proceedings of the 6th International Conference for the Learning Sciences, 2004