Renhao Wang - RankMe

28 papers A* 6C 1Journal 18Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Fundamental solution neural networks for solving inverse Cauchy problems for the Laplace and biharmonic equations. Comput. Math. Appl. Xin Li, Fajie Wang, Renhao Wang, Shengdong Zhao, Daigeng Yang
2025	J	`jnl`	MultiGen: Using Multimodal Generation in Simulation to Learn Multimodal Policies in Real. CoRR Renhao Wang, Haoran Geng, Tingle Li, Feishi Wang, Gopala Anumanchipalli, Philipp Wu, Trevor Darrell, Boyi Li, Pieter Abbeel, Jitendra Malik, Alexei A. Efros
2025	A*	`conf`	Prioritized Generative Replay. ICLR Renhao Wang, Kevin Frans, Pieter Abbeel, Sergey Levine, Alexei A. Efros
2025	J	`jnl`	Rethinking Patch Dependence for Masked Autoencoders. Trans. Mach. Learn. Res. Letian Fu, Long Lian, Renhao Wang, Baifeng Shi, Xudong Wang, Adam Yala, Trevor Darrell, Alexei A. Efros, Ken Goldberg
2025	J	`jnl`	Test-Time Training on Video Streams. J. Mach. Learn. Res. Renhao Wang, Yu Sun, Arnuv Tandon, Yossi Gandelsman, Xinlei Chen, Alexei A. Efros, Xiaolong Wang
2025	J	`jnl`	Visually Prompted Benchmarks Are Surprisingly Fragile. CoRR Haiwen Feng, Long Lian, Lisa Dunlap, Jiahao Shu, Xudong Wang, Renhao Wang, Trevor Darrell, Alane Suhr, Angjoo Kanazawa
2024	A*	`conf`	Improving Distant 3D Object Detection Using 2D Box Supervision. CVPR Zetong Yang, Zhiding Yu, Christopher B. Choy, Renhao Wang, Anima Anandkumar, José M. Álvarez
2024	J	`jnl`	Improving Distant 3D Object Detection Using 2D Box Supervision. CoRR Zetong Yang, Zhiding Yu, Christopher B. Choy, Renhao Wang, Anima Anandkumar, José M. Álvarez
2024	J	`jnl`	Prioritized Generative Replay. CoRR Renhao Wang, Kevin Frans, Pieter Abbeel, Sergey Levine, Alexei A. Efros
2024	J	`jnl`	Rethinking Patch Dependence for Masked Autoencoders. CoRR Letian Fu, Long Lian, Renhao Wang, Baifeng Shi, Xudong Wang, Adam Yala, Trevor Darrell, Alexei A. Efros, Ken Goldberg
2024	C	`conf`	SF3D: SlowFast Temporal 3D Object Detection. IV Renhao Wang, Zhiding Yu, Shiyi Lan, Enze Xie, Ke Chen, Anima Anandkumar, José M. Álvarez
2024	—	`conf`	Self-Supervised Audio-Visual Soundscape Stylization. ECCV (80) Tingle Li, Renhao Wang, Po-Yao Huang, Andrew Owens, Gopala Anumanchipalli
2024	J	`jnl`	Self-Supervised Audio-Visual Soundscape Stylization. CoRR Tingle Li, Renhao Wang, Po-Yao Huang, Andrew Owens, Gopala Anumanchipalli
2023	A*	`conf`	For Pre-Trained Vision Models in Motor Control, Not All Policy Learning Methods are Created Equal. ICML Yingdong Hu, Renhao Wang, Li Erran Li, Yang Gao
2023	J	`jnl`	For Pre-Trained Vision Models in Motor Control, Not All Policy Learning Methods are Created Equal. CoRR Yingdong Hu, Renhao Wang, Li Erran Li, Yang Gao
2023	A*	`conf`	Programmatically Grounded, Compositionally Generalizable Robotic Manipulation. ICLR Renhao Wang, Jiayuan Mao, Joy Hsu, Hang Zhao, Jiajun Wu, Yang Gao
2023	J	`jnl`	Programmatically Grounded, Compositionally Generalizable Robotic Manipulation. CoRR Renhao Wang, Jiayuan Mao, Joy Hsu, Hang Zhao, Jiajun Wu, Yang Gao
2023	A*	`conf`	Robust and Controllable Object-Centric Learning through Energy-based Models. ICLR Ruixiang Zhang, Tong Che, Boris Ivanovic, Renhao Wang, Marco Pavone, Yoshua Bengio, Liam Paull
2023	J	`jnl`	Test-Time Training on Video Streams. CoRR Renhao Wang, Yu Sun, Yossi Gandelsman, Xinlei Chen, Alexei A. Efros, Xiaolong Wang
2022	—	`conf`	CYBORGS: Contrastively Bootstrapping Object Representations by Grounding in Segmentation. ECCV (31) Renhao Wang, Hang Zhao, Yang Gao
2022	J	`jnl`	CYBORGS: Contrastively Bootstrapping Object Representations by Grounding in Segmentation. CoRR Renhao Wang, Hang Zhao, Yang Gao
2022	J	`jnl`	Robust and Controllable Object-Centric Learning through Energy-based Models. CoRR Ruixiang Zhang, Tong Che, Boris Ivanovic, Renhao Wang, Marco Pavone, Yoshua Bengio, Liam Paull
2022	—	`conf`	Semantic-Aware Fine-Grained Correspondence. ECCV (31) Yingdong Hu, Renhao Wang, Kaifeng Zhang, Yang Gao
2022	J	`jnl`	Semantic-Aware Fine-Grained Correspondence. CoRR Yingdong Hu, Renhao Wang, Kaifeng Zhang, Yang Gao
2020	J	`jnl`	Dense Forecasting of Wildfire Smoke Particulate Matter Using Sparsity Invariant Convolutional Neural Networks. CoRR Renhao Wang, Ashutosh Bhudia, Brandon Dos Remedios, Minnie Teng, Raymond Ng
2020	J	`jnl`	Equivariant Maps for Hierarchical Structures. CoRR Renhao Wang, Marjan Albooyeh, Siamak Ravanbakhsh
2020	A*	`conf`	Equivariant Networks for Hierarchical Structures. NeurIPS Renhao Wang, Marjan Albooyeh, Siamak Ravanbakhsh
2019	J	`jnl`	Anomaly Detection with Joint Representation Learning of Content and Connection. CoRR Junhao Wang, Renhao Wang, Aayushi Kulshrestha, Reihaneh Rabbany