← Authors

Bohan Wang

22 papers · 2020–2025 · 9 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (15) πŸƒ Academic Marathon (5) 🌈 Renaissance Researcher (7) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (39) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (9) πŸ† Keyword Champion (4) ⚑ Prolific Year (5) πŸ’Ž Century Club (22) ❓ The Questioner πŸ—ƒοΈ Keyword Collector (89) πŸ”₯ Unstoppable (6)

Conferences

NIPS (7) ICLR (5) CVPR (3) EMNLP (2) COLT (1) ICCV (1) ICML (1) INTERSPEECH (1) UAI (1)

Top co-authors

Wei Chen (6) Huishuai Zhang (5) Qi Meng (4) Tie-yan Liu (4) Jieyu Zhang (3) Volkan Cevher (2) Fengxiang He (2) Dacheng Tao (2) Minghao Guo (2) Wojciech Matusik (2)

Research topics

Differential Privacy (1)

Keywords

adam optimizer (4) neural network (3) gradient descent (3) generalization bound (3) learning rate (2) action recognition (1) feature learning (1) learning theory (1) object detection (1) scene classification (1) video generation (1) video synthesis (1) preference learning (1) attention mechanism (1) semantic segmentation (1) privacy preservation (1) model architecture (1) principal component analysis (1) computer graphics (1) convergence analysis (1)

Papers

TetSphere Splatting: Representing High-Quality Geometry with Lagrangian Volumetric Meshes ICLR 2025
AdamS: Momentum Itself Can Be A Normalizer for LLM Pretraining and Post-training EMNLP 2025
BSFA: Leveraging the Subspace Dichotomy to Accelerate Neural Network Training EMNLP 2025
Synthetic Video Enhances Physical Fidelity in Video Synthesis ICCV 2025
Physically Compatible 3D Object Modeling from a Single Image NIPS 2024
Learning Multi-Dimensional Human Preference for Text-to-Image Generation CVPR 2024
DiGress: Discrete Denoising diffusion for graph generation ICLR 2023
Regularization of Polynomial Networks for Image Recognition CVPR 2023
Convergence of AdaGrad for Non-convex Objectives: Simple Proofs and Relaxed Assumptions COLT 2023
$\mathcal{O}$-GNN: incorporating ring priors into molecular modeling ICLR 2023
Fast Conditional Mixing of MCMC Algorithms for Non-log-concave Distributions NIPS 2023
Closing the gap between the upper bound and lower bound of Adam's iteration complexity NIPS 2023
On the Trade-off of Intra-/Inter-class Diversity for Supervised Pre-training NIPS 2023
ALO-VC: Any-to-any Low-latency One-shot Voice Conversion INTERSPEECH 2023
Creating Training Sets via Weak Indirect Supervision ICLR 2022
Does Momentum Change the Implicit Regularization on Separable Data? NIPS 2022
Tighter Generalization Bounds for Iterative Differentially Private Learning Algorithms UAI 2021
Optimizing Information-theoretical Generalization Bound via Anisotropic Noise of SGLD NIPS 2021
End-to-End Human Object Interaction Detection With HOI Transformer CVPR 2021
The Implicit Bias for Adaptive Optimization Algorithms on Homogeneous Neural Networks ICML 2021
See More for Scene: Pairwise Consistency Learning for Scene Classification NIPS 2021
Piecewise linear activations substantially shape the loss surfaces of neural networks ICLR 2020