← Authors

Bo Dai

191 papers · 2010–2026 · 15 conferences · across top CS/AI conferences

Achievements

🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (11) πŸƒ Academic Marathon (16) 🌍 Conference Polyglot (15) 🌈 Renaissance Researcher (6) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (24) 🏠 Conference Loyalist (48) 🀝 Dynamic Duo (39) πŸ‘‘ Triple Crown πŸ† Grand Slam 🌱 Topic Pioneer πŸ”¬ Deep Specialist (23) 🧬 Topic Evolution πŸ† Keyword Champion (2) πŸ”₯ Unstoppable (11) ❓ The Questioner πŸ’Ž Century Club (190) πŸ—ƒοΈ Keyword Collector (81) πŸ“ˆ Trend Setter πŸš€ Conference Pioneer ⚑ Prolific Year (30)

Conferences

NIPS (48) CVPR (35) ICML (25) ICLR (19) ICCV (17) ECCV (16) AISTATS (14) EMNLP (5) UAI (3) AAAI (2) IJCAI (2) WACV (2) ACML (1) JMLR (1) L4DC (1)

Top co-authors

Dale Schuurmans (39) Dahua Lin (36) Hanjun Dai (27) Le Song (23) Chen Change Loy (22) Jingbo Wang (15) Jincheng Mei (13) Niao He (11) Linning Xu (11) Xingang Pan (11)

Research topics

Applications (1)

Keywords

generative adversarial network (12) diffusion model (12) representation learning (10) neural network (10) neural rendering (9) energy-based model (8) generative model (8) neural radiance field (7) reinforcement learning (7) 3d reconstruction (6) image generation (6) variational inference (6) 3d gaussian splatting (6) sample complexity (6) action recognition (5) graph neural network (5) off-policy evaluation (5) image synthesis (5) novel view synthesis (5) unsupervised learning (4)

Papers

PSDiffusion: Harmonized Multi-Layer Image Generation via Layout and Appearance Alignment WACV 2026
Reasoning with Exploration: An Entropy Perspective AAAI 2026
Primal-Dual Spectral Representation for Off-policy Evaluation AISTATS 2025
Faster WIND: Accelerating Iterative Best-of-$N$ Distillation for LLM Alignment AISTATS 2025
Scalable spectral representations for multiagent reinforcement learning in network MDPs AISTATS 2025
Spectral Representation for Causal Estimation with Hidden Confounders AISTATS 2025
GaussianAnything: Interactive Point Cloud Flow Matching for 3D Generation ICLR 2025
CameraCtrl: Enabling Camera Control for Video Diffusion Models ICLR 2025
Inference-Aware Fine-Tuning for Best-of-N Sampling in Large Language Models ICLR 2025
EC-DIT: Scaling Diffusion Transformers with Adaptive Expert-Choice Routing ICLR 2025
Value-Incentivized Preference Optimization: A Unified Approach to Online and Offline RLHF ICLR 2025
ObjectGS: Object-aware Scene Reconstruction and Scene Understanding via Gaussian Splatting ICCV 2025
GausSim: Foreseeing Reality by Gaussian Simulator for Elastic Objects ICCV 2025
GAS: Generative Avatar Synthesis from a Single Image ICCV 2025
Multi-identity Human Image Animation with Structural Video Diffusion ICCV 2025
On Domain-Adaptive Post-Training for Multimodal Large Language Models EMNLP 2025
EdgeTAM: On-Device Track Anything Model CVPR 2025
DF$^2$: Distribution-Free Decision-Focused Learning UAI 2025
Efficient Duple Perturbation Robustness in Low-rank MDPs L4DC 2025
Incentivize without Bonus: Provably Efficient Model-based Online Multi-agent RL for Markov Games ICML 2025
Keyframe-Guided Creative Video Inpainting CVPR 2025
ScaMo: Exploring the Scaling Law in Autoregressive Motion Generation Model CVPR 2025
TokenHSI: Unified Synthesis of Physical Human-Scene Interactions through Task Tokenization CVPR 2025
DRiVE: Diffusion-based Rigging Empowers Generation of Versatile and Expressive Characters CVPR 2025
Horizon-GS: Unified 3D Gaussian Splatting for Large-Scale Aerial-to-Ground Scenes CVPR 2025
FlashGS: Efficient 3D Gaussian Splatting for Large-scale and High-resolution Rendering CVPR 2025
Efficient Online Reinforcement Learning for Diffusion Policy ICML 2025
Text to Layer-wise 3D Clothed Human Generation ECCV 2024
MotionLCM: Real-time Controllable Motion Generation via Latent Consistency Model ECCV 2024
LN3Diff: Scalable Latent Neural Fields Diffusion for Speedy 3D Generation ECCV 2024
SemGrasp: Semantic Grasp Generation via Language Aligned Discretization ECCV 2024
Scaffold-GS: Structured 3D Gaussians for View-Adaptive Rendering CVPR 2024
Generalized Predictive Model for Autonomous Driving CVPR 2024
Make-It-Vivid: Dressing Your Animatable Biped Cartoon Characters from Text CVPR 2024
Task-Oriented Human-Object Interactions Generation With Implicit Neural Representations WACV 2024
Point Cloud Pre-training with Diffusion Models CVPR 2024
EpiDiff: Enhancing Multi-View Synthesis via Localized Epipolar-Constrained Diffusion CVPR 2024
DiffMorpher: Unleashing the Capability of Diffusion Models for Image Morphing CVPR 2024
HumanVid: Demystifying Training Data for Camera-controllable Human Image Animation NIPS 2024
PACER+: On-Demand Pedestrian Animation Controller in Driving Scenarios CVPR 2024
Cinematic Behavior Transfer via NeRF-based Differentiable Filming CVPR 2024
BerfScene: Bev-conditioned Equivariant Radiance Fields for Infinite 3D Scene Generation CVPR 2024
BBox-Adapter: Lightweight Adapting for Black-Box Large Language Models ICML 2024
Target Networks and Over-parameterization Stabilize Off-policy Bootstrapping with Function Approximation ICML 2024
PhyRecon: Physically Plausible Neural Scene Reconstruction NIPS 2024
UQE: A Query Engine for Unstructured Databases NIPS 2024
Learning 3D Garment Animation from Trajectories of A Piece of Cloth NIPS 2024
Small steps no more: Global convergence of stochastic gradient bandits for arbitrary learning rates NIPS 2024
Director3D: Real-world Camera Trajectory and 3D Scene Generation from Text NIPS 2024
AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning ICLR 2024
Unified Human-Scene Interaction via Prompted Chain-of-Contacts ICLR 2024
Probabilistic Adaptation of Black-Box Text-to-Video Models ICLR 2024
HYDRA: Model Factorization Framework for Black-Box LLM Personalization NIPS 2024
InterControl: Zero-shot Human Interaction Generation by Controlling Every Joint NIPS 2024
Diffusion Spectral Representation for Reinforcement Learning NIPS 2024
GSDF: 3DGS Meets SDF for Improved Neural Rendering and Reconstruction NIPS 2024
Provable Representation with Efficient Planning for Partially Observable Reinforcement Learning ICML 2024
RoomTex: Texturing Compositional Indoor Scenes via Iterative Inpainting ECCV 2024
DiffBIR: Toward Blind Image Restoration with Generative Diffusion Prior ECCV 2024
SparseCtrl: Adding Sparse Controls to Text-to-Video Diffusion Models ECCV 2024
Score-based Continuous-time Discrete Diffusion Models ICLR 2023
Learning Modulated Transformation in GANs NIPS 2023
RenderMe-360: A Large Digital Asset Library and Benchmarks Towards High-fidelity Head Avatars NIPS 2023
Learning Universal Policies via Text-Guided Video Generation NIPS 2023
Revisiting the Evaluation of Image Synthesis with GANs NIPS 2023
Ordering-based Conditions for Global Convergence of Policy Gradient Methods NIPS 2023
AdaPlanner: Adaptive Planning from Feedback with Language Models NIPS 2023
Discrete Langevin Samplers via Wasserstein Gradient Flow AISTATS 2023
Learning to Optimize with Stochastic Dominance Constraints AISTATS 2023
Controllable Mesh Generation Through Sparse Latent Point Diffusion Models CVPR 2023
Generative Diffusion Prior for Unified Image Restoration and Enhancement CVPR 2023
Prototype-Based Embedding Network for Scene Graph Generation CVPR 2023
Grid-Guided Neural Radiance Fields for Large Urban Scenes CVPR 2023
Self-Supervised Geometry-Aware Encoder for Style-Based 3D GAN Inversion CVPR 2023
On Task-personalized Multimodal Few-shot Learning for Visually-rich Document Entity Retrieval EMNLP 2023
MatrixCity: A Large-scale City Dataset for City-scale Neural Rendering and Beyond ICCV 2023
LinkGAN: Linking GAN Latents to Pixels for Controllable Image Synthesis ICCV 2023
SynBody: Synthetic Dataset with Layered Human Models for 3D Human Perception and Modeling ICCV 2023
DNA-Rendering: A Diverse Neural Actor Repository for High-Fidelity Human-Centric Rendering ICCV 2023
3DHumanGAN: 3D-Aware Human Image Generation with 3D Pose Mapping ICCV 2023
AssetField: Assets Mining and Reconfiguration in Ground Feature Plane Representation ICCV 2023
Towards Multi-Layered 3D Garments Animation ICCV 2023
OrthoPlanes: A Novel Representation for Better 3D-Awareness of GANs ICCV 2023
X-VoE: Measuring eXplanatory Violation of Expectation in Physical Events ICCV 2023
Any-scale Balanced Samplers for Discrete Space ICLR 2023
Latent Variable Representation for Reinforcement Learning ICLR 2023
Spectral Decomposition Representation for Reinforcement Learning ICLR 2023
Stochastic Gradient Succeeds for Bandits ICML 2023
HireVAE: An Online and Adaptive Factor Model Based on Hierarchical and Regime-Switch VAE IJCAI 2023
Energy-based Predictive Representations for Partially Observed Reinforcement Learning UAI 2023
Learning Hierarchical Cross-Modal Association for Co-Speech Gesture Generation CVPR 2022
Marginal Distribution Adaptation for Discrete Sets via Module-Oriented Divergence Minimization ICML 2022
SMARTAVE: Structured Multimodal Transformer for Product Attribute Value Extraction EMNLP 2022
A free lunch from the noise: Provable and practical exploration for representation learning UAI 2022
Cross-Model Pseudo-Labeling for Semi-Supervised Action Recognition CVPR 2022
Neural Stochastic Dual Dynamic Programming ICLR 2022
Understanding and Leveraging Overparameterization in Recursive Value Estimation ICLR 2022
Self-Adaptive Imitation Learning: Learning Tasks with Delayed Rewards from Sub-optimal Demonstrations AAAI 2022
Oracle Inequalities for Model Selection in Offline Reinforcement Learning NIPS 2022
TransEditor: Transformer-Based Dual-Space GAN for Highly Controllable Facial Editing CVPR 2022
Revisiting Skeleton-Based Action Recognition CVPR 2022
Towards Diverse and Natural Scene-Aware 3D Human Motion Synthesis CVPR 2022
Monocular 3D Object Reconstruction with GAN Inversion ECCV 2022
DeciWatch: A Simple Baseline for 10Γ— Efficient 2D and 3D Pose Estimation ECCV 2022
BRACE: The Breakdancing Competition Dataset for Dance Motion Synthesis ECCV 2022
Transformer with Implicit Edges for Particle-Based Physics Simulation ECCV 2022
Extract Free Dense Labels from CLIP ECCV 2022
BungeeNeRF: Progressive Neural Radiance Field for Extreme Multi-Scale Scene Rendering ECCV 2022
The Role of Baselines in Policy Gradient Optimization NIPS 2022
Improving GANs with A Dynamic Discriminator NIPS 2022
On the Global Convergence Rates of Decentralized Softmax Gradient Play in Markov Potential Games NIPS 2022
Offline Policy Selection under Uncertainty AISTATS 2022
The Curse of Passive Data Collection in Batch Reinforcement Learning AISTATS 2022
Making Linear MDPs Practical via Contrastive Representation Learning ICML 2022
Model Selection in Batch Policy Optimization ICML 2022
A Shading-Guided Generative Implicit Model for Shape-Accurate 3D-Aware Image Synthesis NIPS 2021
Combiner: Full Attention Transformer with Sparse Computation Cost NIPS 2021
Deceive D: Adaptive Pseudo Augmentation for GAN Training with Limited Data NIPS 2021
Generative Occupancy Fields for 3D Surface-Aware Image Synthesis NIPS 2021
Learning to Defend by Learning to Attack AISTATS 2021
Towards Automatic Evaluation of Dialog Systems: A Model-Free Off-Policy Evaluation Approach EMNLP 2021
Understanding the Effect of Stochasticity in Policy Optimization NIPS 2021
Focal Frequency Loss for Image Reconstruction and Synthesis ICCV 2021
BlockPlanner: City Block Generation With Vectorized Graph Representation ICCV 2021
Nearly Horizon-Free Offline Reinforcement Learning NIPS 2021
Towards understanding retrosynthesis by energy-based models NIPS 2021
Do 2D GANs Know 3D Shape? Unsupervised 3D Shape Reconstruction from 2D Image GANs ICLR 2021
Overcoming Catastrophic Forgetting by Bayesian Generative Regularization ICML 2021
Leveraging Non-uniformity in First-order Non-convex Optimization ICML 2021
Visually Informed Binaural Audio Generation without Binaural Audios CVPR 2021
Scene-Aware Generative Network for Human Motion Synthesis CVPR 2021
Unsupervised 3D Shape Completion Through GAN Inversion CVPR 2021
LEGO: Latent Execution-Guided Reasoning for Multi-Hop Question Answering on Knowledge Graphs ICML 2021
On the Optimality of Batch Policy Optimization Algorithms ICML 2021
Self-Supervised Scene De-Occlusion CVPR 2020
Energy-Based Processes for Exchangeable Data ICML 2020
Batch Stationary Distribution Estimation ICML 2020
Differentiable Top-k with Optimal Transport NIPS 2020
Off-Policy Imitation Learning from Observations NIPS 2020
Learning Discrete Energy-based Models via Auxiliary-variable Local Exploration NIPS 2020
CoinDICE: Off-Policy Confidence Interval Estimation NIPS 2020
Provably Efficient Neural Estimation of Structural Equation Models: An Adversarial Approach NIPS 2020
Off-Policy Evaluation via the Regularized Lagrangian NIPS 2020
FineGym: A Hierarchical Video Dataset for Fine-Grained Action Understanding CVPR 2020
Temporal Pyramid Network for Action Recognition CVPR 2020
Intra- and Inter-Action Understanding via Temporal Action Parsing CVPR 2020
Learning to Plan in High Dimensions via Neural Exploration-Exploitation Trees ICLR 2020
Scalable Deep Generative Modeling for Sparse Graphs ICML 2020
Exploiting Deep Generative Prior for Versatile Image Restoration and Manipulation ECCV 2020
Named Entity Recognition for Social Media Texts with Semantic Augmentation EMNLP 2020
Escaping the Gravitational Pull of Softmax NIPS 2020
Feature Intertwiner for Object Detection ICLR 2019
Exponential Family Estimation via Adversarial Dynamics Embedding NIPS 2019
Meta Architecture Search NIPS 2019
Retrosynthesis Prediction with Conditional Graph Logic Network NIPS 2019
Recursive Visual Sound Separation Using Minus-Plus Net ICCV 2019
Energy-Inspired Models: Learning with Sampler-Induced Distributions NIPS 2019
Kernel Exponential Family Estimation via Doubly Dual Embedding AISTATS 2019
DualDICE: Behavior-Agnostic Estimation of Discounted Stationary Distribution Corrections NIPS 2019
Move Forward and Tell: A Progressive Generator of Video Descriptions ECCV 2018
Syntax-Directed Variational Autoencoder for Structured Data ICLR 2018
Boosting the Actor with Dual Critic ICLR 2018
Cooperative neural networks (CoNN): Exploiting prior independence structure for improved classification NIPS 2018
Learning Steady-States of Iterative Algorithms over Graphs ICML 2018
SBEED: Convergent Reinforcement Learning with Nonlinear Function Approximation ICML 2018
Towards Black-box Iterative Machine Teaching ICML 2018
Decoupled Networks CVPR 2018
Rethinking the Form of Latent States in Image Captioning ECCV 2018
Multi-scale Nystrom Method AISTATS 2018
Predictive Approximate Bayesian Computation via Saddle Points NIPS 2018
A Neural Compositional Paradigm for Image Captioning NIPS 2018
Coupled Variational Bayes via Optimization Embedding NIPS 2018
Structured Inference for Recurrent Hidden Semi-markov Model IJCAI 2018
Learning towards Minimum Hyperspherical Energy NIPS 2018
Detecting Visual Relationships With Deep Relational Networks CVPR 2017
Deep Hyperspherical Learning NIPS 2017
Contrastive Learning for Image Captioning NIPS 2017
Towards Diverse and Natural Image Descriptions via a Conditional GAN ICCV 2017
Learning from Conditional Distributions via Dual Embeddings AISTATS 2017
Iterative Machine Teaching ICML 2017
Stochastic Generative Hashing ICML 2017
Discriminative Embeddings of Latent Variable Models for Structured Data ICML 2016
Provable Bayesian Inference via Particle Mirror Descent AISTATS 2016
Nonparametric Estimation of Multi-View Latent Variable Models ICML 2014
Scalable Kernel Methods via Doubly Stochastic Gradients NIPS 2014
Transductive Learning with Multi-class Volume Approximation ICML 2014
Squared-loss Mutual Information Regularization: A Novel Information-theoretic Approach to Semi-supervised Learning ICML 2013
Robust Low Rank Kernel Embeddings of Multivariate Distributions NIPS 2013
Maximum Volume Clustering: A New Discriminative Clustering Approach JMLR 2013
Maximum Volume Clustering AISTATS 2011
Minimum Conditional Entropy Clustering: A Discriminative Framework for Clustering ACML 2010