Nan Ding

25 papers · 2010–2026 · 11 conferences · across top CS/AI conferences

Achievements

+12 more ↓

🌍 Conference Polyglot (10) 🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🏃 Academic Marathon (15)

🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🏃 Academic Marathon (15) 🤝 Dynamic Duo (12) 👥 Mega-Team (29) 🏆 Keyword Champion 🗃️ Keyword Collector (125) 📈 Trend Setter 🚀 Conference Pioneer ❓ The Questioner 💎 Century Club (24) 🔥 Unstoppable (6)

Conferences

NIPS (8) EMNLP (5) CVPR (2) ICLR (2) NAACL (2) AAAI (1) ACL (1) AISTATS (1) CORL (1) ECCV (1) ICCV (1)

Top co-authors

Radu Soricut (12) Xi Chen (6) Tomer Levinboim (5) Sebastian Goodman (5) Soravit Changpinyo (4) Changyou Chen (3) Yuan Qi (2) Piyush Sharma (2) S.v.n. Vishwanathan (2) Lawrence Carin (2)

Keywords

image captioning (3) markov chain monte carlo (3) bayesian inference (3) stochastic gradient (2) transformer architecture (2) langevin dynamics (2) visual question answering (2) sequence generation (2) structured output prediction (2) hamiltonian monte carlo (2) variational inference (2) adversarial robustness (1) reinforcement learning (1) reward modeling (1) multi-task learning (1) vision transformer (1) sequence modeling (1) robust optimization (1) bayesian learning (1) metric learning (1)

Papers

AquaSplatting: A Hybrid 3D Representation for Robust Underwater Scene Reconstruction via Dual-Branch Rendering AAAI 2026 Graders Should Cheat: Privileged Information Enables Expert-Level Automated Evaluations EMNLP 2025 One Model to Drift Them All: Physics-Informed Conditional Diffusion Model for Driving at the Limits CORL 2024 CausalLM is not optimal for in-context learning ICLR 2024 Improving Robust Generalization by Direct PAC-Bayesian Bound Minimization CVPR 2023 PaLI: A Jointly-Scaled Multilingual Language-Image Model ICLR 2023 PACTran: PAC-Bayesian Metrics for Estimating the Transferability of Pretrained Models to Classification Tasks ECCV 2022 Explicit Role Interaction Network for Event Argument Extraction EMNLP 2022 All You May Need for VQA are Image Captions NAACL 2022 Do Transformer Modifications Transfer Across Implementations and Applications? EMNLP 2021 Bridging the Gap Between Practice and PAC-Bayes Theory in Few-Shot Meta-Learning NIPS 2021 Conceptual 12M: Pushing Web-Scale Image-Text Pre-Training To Recognize Long-Tail Visual Concepts CVPR 2021 TeaForN: Teacher-Forcing with N-grams EMNLP 2020 Improving Text Generation Evaluation with Batch Centering and Tempered Word Mover Distance EMNLP 2020 SHAPED: Shared-Private Encoder-Decoder for Text Style Adaptation NAACL 2018 Conceptual Captions: A Cleaned, Hypernymed, Image Alt-text Dataset For Automatic Image Captioning ACL 2018 Cold-Start Reinforcement Learning with Softmax Policy Gradient NIPS 2017 Stochastic Gradient MCMC with Stale Gradients NIPS 2016 Embedding Inference for Structured Multilabel Prediction NIPS 2015 On the Convergence of Stochastic Gradient MCMC Algorithms with High-Order Integrators NIPS 2015 Probabilistic Label Relation Graphs With Ising Models ICCV 2015 Bayesian Sampling Using Stochastic Gradient Thermostats NIPS 2014 t-divergence Based Approximate Inference NIPS 2011 Nonparametric Bayesian Matrix Factorization by Power-EP AISTATS 2010 t-logistic regression NIPS 2010