Wang, Bohan

25 publications

NeurIPS 2025 CAGE: Continuity-Aware edGE Network Unlocks Robust Floorplan Reconstruction Yiyi Liu, Chunyang Liu, Bohan Wang, Weiqin Jiao, Bojian Wu, Lubin Fan, Yuwei Chen, Fashuai Li, Biao Xiong

NeurIPS 2025 Continuous-Time Riemannian SGD and SVRG Flows on Wasserstein Probabilistic Space Mingyang Yi, Bohan Wang

NeurIPS 2025 RobotSmith: Generative Robotic Tool Design for Acquisition of Complex Manipulation Skills Chunru Lin, Haotian Yuan, Yian Wang, Xiaowen Qiu, Tsun-Hsuan Wang, Minghao Guo, Bohan Wang, Yashraj Narang, Dieter Fox, Chuang Gan

NeurIPS 2025 Selftok-Zero: Reinforcement Learning for Visual Generation via Discrete and Autoregressive Visual Tokens Bohan Wang, Mingze Zhou, Zhongqi Yue, Wang Lin, Kaihang Pan, Liyu Jia, Wentao Hu, Wei Zhao, Hanwang Zhang

ICCV 2025 Synthetic Video Enhances Physical Fidelity in Video Synthesis Qi Zhao, Xingyu Ni, Ziyu Wang, Feng Cheng, Ziyan Yang, Lu Jiang, Bohan Wang

ICLR 2025 TetSphere Splatting: Representing High-Quality Geometry with Lagrangian Volumetric Meshes Minghao Guo, Bohan Wang, Kaiming He, Wojciech Matusik

ICMLW 2024 Gradient Descent with Polyak’s Momentum Finds Flatter Minima via Large Catapults Prin Phunyaphibarn, Junghyun Lee, Bohan Wang, Huishuai Zhang, Chulhee Yun

CVPR 2024 Learning Multi-Dimensional Human Preference for Text-to-Image Generation Sixian Zhang, Bohan Wang, Junqiang Wu, Yan Li, Tingting Gao, Di Zhang, Zhongyuan Wang

NeurIPS 2024 Physically Compatible 3D Object Modeling from a Single Image Minghao Guo, Bohan Wang, Pingchuan Ma, Tianyuan Zhang, Crystal Elaine Owens, Chuang Gan, Joshua B. Tenenbaum, Kaiming He, Wojciech Matusik

ICLR 2023 $\mathcal{O}$-GNN: Incorporating Ring Priors into Molecular Modeling Jinhua Zhu, Kehan Wu, Bohan Wang, Yingce Xia, Shufang Xie, Qi Meng, Lijun Wu, Tao Qin, Wengang Zhou, Houqiang Li, Tie-Yan Liu

NeurIPS 2023 Closing the Gap Between the Upper Bound and Lower Bound of Adam's Iteration Complexity Bohan Wang, Jingwen Fu, Huishuai Zhang, Nanning Zheng, Wei Chen

COLT 2023 Convergence of AdaGrad for Non-Convex Objectives: Simple Proofs and Relaxed Assumptions Bohan Wang, Huishuai Zhang, Zhiming Ma, Wei Chen

ICLR 2023 DiGress: Discrete Denoising Diffusion for Graph Generation Clement Vignac, Igor Krawczuk, Antoine Siraudin, Bohan Wang, Volkan Cevher, Pascal Frossard

NeurIPS 2023 Fast Conditional Mixing of MCMC Algorithms for Non-Log-Concave Distributions Xiang Cheng, Bohan Wang, Jingzhao Zhang, Yusong Zhu

NeurIPSW 2023 Large Catapults in Momentum Gradient Descent with Warmup: An Empirical Study Prin Phunyaphibarn, Junghyun Lee, Bohan Wang, Huishuai Zhang, Chulhee Yun

NeurIPS 2023 On the Trade-Off of Intra-/Inter-Class Diversity for Supervised Pre-Training Jieyu Zhang, Bohan Wang, Zhengyu Hu, Pang Wei W Koh, Alexander J Ratner

CVPR 2023 Regularization of Polynomial Networks for Image Recognition Grigorios G. Chrysos, Bohan Wang, Jiankang Deng, Volkan Cevher

ICLR 2022 Creating Training Sets via Weak Indirect Supervision Jieyu Zhang, Bohan Wang, Xiangchen Song, Yujing Wang, Yaming Yang, Jing Bai, Alexander Ratner

NeurIPS 2022 Does Momentum Change the Implicit Regularization on Separable Data? Bohan Wang, Qi Meng, Huishuai Zhang, Ruoyu Sun, Wei Chen, Zhi-Ming Ma, Tie-Yan Liu

CVPR 2021 End-to-End Human Object Interaction Detection with HOI Transformer Cheng Zou, Bohan Wang, Yue Hu, Junqi Liu, Qian Wu, Yu Zhao, Boxun Li, Chenguang Zhang, Chi Zhang, Yichen Wei, Jian Sun

NeurIPS 2021 Optimizing Information-Theoretical Generalization Bound via Anisotropic Noise of SGLD Bohan Wang, Huishuai Zhang, Jieyu Zhang, Qi Meng, Wei Chen, Tie-Yan Liu

NeurIPS 2021 See More for Scene: Pairwise Consistency Learning for Scene Classification Gongwei Chen, Xinhang Song, Bohan Wang, Shuqiang Jiang

ICML 2021 The Implicit Bias for Adaptive Optimization Algorithms on Homogeneous Neural Networks Bohan Wang, Qi Meng, Wei Chen, Tie-Yan Liu

UAI 2021 Tighter Generalization Bounds for Iterative Differentially Private Learning Algorithms Fengxiang He, Bohan Wang, Dacheng Tao

ICLR 2020 Piecewise Linear Activations Substantially Shape the Loss Surfaces of Neural Networks Fengxiang He, Bohan Wang, Dacheng Tao