Jing Dong
28 papers · 2016–2026 · 12 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (9) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (12) 🐝 Cross-Pollinator (10)
🧭
Keyword Pioneer
🐝
Cross-Pollinator
(10)
🌍
Conference Polyglot
(12)
🏆
Grand Slam
🧬
Topic Evolution
👥
Mega-Team
(100)
🔥
Unstoppable
(5)
💎
Century Club
(27)
⚡
Prolific Year
(8)
🗃️
Keyword Collector
(127)
Conferences
AAAI (6)
NIPS (4)
RSS (4)
CVPR (3)
ICML (3)
ICLR (2)
AISTATS (1)
ECCV (1)
IJCAI (1)
INTERSPEECH (1)
JMLR (1)
UAI (1)
Top co-authors
Research topics
Keywords
neural radiance field
(3)
regret bound
(3)
generative adversarial network
(3)
face generation
(3)
probabilistic inference
(2)
reinforcement learning
(2)
image generation
(2)
feature fusion
(2)
nash equilibrium
(2)
image translation
(2)
multimodal learning
(2)
robot perception
(1)
pose estimation
(1)
domain adaptation
(1)
3d reconstruction
(1)
stochastic gradient
(1)
policy optimization
(1)
egocentric vision
(1)
multi-agent reinforcement learning
(1)
depth estimation
(1)
Papers
Revisiting MLLM Based Image Quality Assessment: Errors and Remedy
AAAI 2026
Last-iterate Convergence in Regularized Graphon Mean Field Game
AAAI 2025
Image-level Memorization Detection via Inversion-based Inference Perturbation
ICLR 2025
Adaptive Median Smoothing: Adversarial Defense for Unlearned Text-to-Image Diffusion Models at Inference Time
ICML 2025
Learning Imperfect Information Extensive-form Games with Last-iterate Convergence under Bandit Feedback
ICML 2025
Towards Black-Box Membership Inference Attack for Diffusion Models
ICML 2025
Ego-Exo4D: Understanding Skilled Human Activity from First- and Third-Person Perspectives
CVPR 2024
S^3D-NeRF: Single-Shot Speech-Driven Neural Radiance Field for High Fidelity Talking Head Synthesis
ECCV 2024
Convergence to Nash Equilibrium and No-regret Guarantee in (Markov) Potential Games
AISTATS 2024
Online Control with Adversarial Disturbance for Continuous-time Linear Systems
NIPS 2024
QGym: Scalable Simulation and Benchmarking of Queuing Network Controllers
NIPS 2024
AE-NeRF: Audio Enhanced Neural Radiance Field for Few Shot Talking Head Synthesis
AAAI 2024
Learning Dense Correspondence for NeRF-Based Face Reenactment
AAAI 2024
Online Policy Optimization for Robust Markov Decision Process
UAI 2024
Decentralization and Acceleration Enables Large-Scale Bundle Adjustment
RSS 2023
DPMAC: Differentially Private Communication for Cooperative Multi-Agent Reinforcement Learning
IJCAI 2023
CFFT-GAN: Cross-Domain Feature Fusion Transformer for Exemplar-Based Image Translation
AAAI 2023
Semantic 3D-Aware Portrait Synthesis and Manipulation Based on Compositional Neural Radiance Field
AAAI 2023
A Batch-to-Online Transformation under Random-Order Model
NIPS 2023
Theseus: A Library for Differentiable Nonlinear Optimization
NIPS 2022
iSDF: Real-Time Neural Signed Distance Fields for Robot Perception
RSS 2022
Exploring Adversarial Fake Images on Face Manifold
CVPR 2021
Replica Exchange for Non-Convex Optimization
JMLR 2021
MUST-GAN: Multi-Level Statistics Transfer for Self-Driven Person Image Generation
CVPR 2021
ACCELERATING NONCONVEX LEARNING VIA REPLICA EXCHANGE LANGEVIN DIFFUSION
ICLR 2019
Matrix of Polynomials Model Based Polynomial Dictionary Learning Method for Acoustic Impulse Response Modeling
INTERSPEECH 2017
Simultaneous Trajectory Estimation and Planning via Probabilistic Inference
RSS 2017
Motion Planning as Probabilistic Inference using Gaussian Processes and Factor Graphs
RSS 2016