Jiawei Huang
29 papers · 2020–2025 · 10 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (10) π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (11) π Interdisciplinary Bridge π Academic Marathon (5)
π
Academic Marathon
(5)
π
Cross-Pollinator
(6)
π
Renaissance Researcher
(8)
π§¬
Topic Evolution
π
Triple Crown
π₯
Mega-Team
(27)
π
Grand Slam
π₯
Unstoppable
(6)
π
Century Club
(29)
ποΈ
Keyword Collector
(110)
β
The Questioner
β‘
Prolific Year
(6)
π
Conference Pioneer
Conferences
ICML (7)
NIPS (7)
ICLR (4)
AISTATS (3)
CVPR (2)
MICCAI (2)
AAAI (1)
ACL (1)
ECCV (1)
UAI (1)
Top co-authors
Keywords
off-policy evaluation
(4)
policy optimization
(2)
text-to-audio generation
(2)
reinforcement learning
(2)
3d vision
(2)
function approximation
(2)
importance sampling
(2)
doubly robust
(2)
occupancy forecasting
(2)
tiered reinforcement learning
(2)
online learning
(1)
uncertainty quantification
(1)
video generation
(1)
preference learning
(1)
multi-agent reinforcement learning
(1)
policy gradient
(1)
speech recognition
(1)
scene understanding
(1)
robust optimization
(1)
speech synthesis
(1)
Papers
Learning to Steer Markovian Agents under Model Uncertainty
ICLR 2025
Can RLHF be More Efficient with Imperfect Reward Models? A Policy Coverage Perspective
ICML 2025
Steering No-Regret Agents in MFGs under Model Uncertainty
AISTATS 2025
T2A-Feedback: Improving Basic Capabilities of Text-to-Audio Generation via Fine-grained AI Feedback
ACL 2025
Spatiotemporal Decoupling for Efficient Vision-Based Occupancy Forecasting
CVPR 2025
An Effective Manifold-based Optimization Method for Distributionally Robust Classification
ICLR 2025
AudioGPT: Understanding and Generating Speech, Music, Sound, and Talking Head
AAAI 2024
On the Statistical Efficiency of Mean-Field Reinforcement Learning with General Function Approximation
AISTATS 2024
Cam4DOcc: Benchmark for Camera-Only 4D Occupancy Forecasting in Autonomous Driving Applications
CVPR 2024
Model-Based RL for Mean-Field Games is not Statistically Harder than Single-Agent RL
ICML 2024
Knowledge-Guided Prompt Learning for Lifespan Brain MR Image Segmentation
MICCAI 2024
UinTSeg: Unified Infant Brain Tissue Segmentation with Anatomy Delineation
MICCAI 2024
MimicTalk: Mimicking a personalized and expressive 3D talking face in minutes
NIPS 2024
Melting Pot Contest: Charting the Future of Generalized Cooperative Intelligence
NIPS 2024
Frieren: Efficient Video-to-Audio Generation Network with Rectified Flow Matching
NIPS 2024
Real3D-Portrait: One-shot Realistic 3D Talking Portrait Synthesis
ICLR 2024
Make-An-Audio: Text-To-Audio Generation with Prompt-Enhanced Diffusion Models
ICML 2023
Robust Knowledge Transfer in Tiered Reinforcement Learning
NIPS 2023
On the Convergence Rate of Off-Policy Policy Optimization Methods with Density-Ratio Correction
AISTATS 2022
Coresets for Wasserstein Distributionally Robust Optimization Problems
NIPS 2022
A Minimax Learning Approach to Off-Policy Evaluation in Confounded Partially Observable Markov Decision Processes
ICML 2022
Towards Deployment-Efficient Reinforcement Learning: Lower Bound and Optimality
ICLR 2022
Tiered Reinforcement Learning: Pessimism in the Face of Uncertainty and Constant Regret
NIPS 2022
A Novel Sequential Coreset Method for Gradient Descent Algorithms
ICML 2021
Defending SVMs against poisoning attacks: the hardness and DBSCAN approach
UAI 2021
WeightNet: Revisiting the Design Space of Weight Networks
ECCV 2020
Minimax Value Interval for Off-Policy Evaluation and Policy Optimization
NIPS 2020
From Importance Sampling to Doubly Robust Policy Gradient
ICML 2020
Minimax Weight and Q-Function Learning for Off-Policy Evaluation
ICML 2020