He Huang
22 papers · 2013–2025 · 8 conferences · across top CS/AI conferences
Achievements
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π Renaissance Researcher (8) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (11) π§ Keyword Pioneer π Conference Polyglot (8)
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Conference Polyglot
(8)
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Academic Marathon
(12)
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Cross-Pollinator
(5)
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Topic Evolution
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Unstoppable
(7)
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Prolific Year
(6)
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Trend Setter
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Century Club
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Keyword Collector
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Conferences
NIPS (7)
AAAI (4)
ICML (3)
INTERSPEECH (3)
CVPR (2)
ICCV (1)
IJCAI (1)
NAACL (1)
Top co-authors
Keywords
approximation algorithm
(4)
speech translation
(3)
combinatorial optimization
(3)
bayesian inference
(2)
efficient inference
(2)
question answering
(2)
approximation ratio
(2)
automatic speech recognition
(2)
submodular maximization
(2)
speech recognition
(2)
reinforcement learning
(2)
visual search
(2)
submodular optimization
(2)
multimodal learning
(2)
knapsack constraint
(2)
computer vision
(1)
domain adaptation
(1)
transfer learning
(1)
bayesian learning
(1)
zero-shot learning
(1)
Papers
LINR-PCGC: Lossless Implicit Neural Representations for Point Cloud Geometry Compression
ICCV 2025
VoiceTextBlender: Augmenting Large Language Models with Speech Capabilities via Single-Stage Joint Speech-Text Supervised Fine-Tuning
NAACL 2025
ADC-GS: Anchor-Driven Deformable and Compressed Gaussian Splatting for Dynamic Scene Reconstruction
IJCAI 2025
Sortformer: A Novel Approach for Permutation-Resolved Speaker Supervision in Speech-to-Text Systems
ICML 2025
Deletion-Robust Submodular Maximization with Knapsack Constraints
AAAI 2024
DeSTA: Enhancing Speech Language Models through Descriptive Speech-Text Alignment
INTERSPEECH 2024
Less is More: Accurate Speech Recognition & Translation without Web-Scale Data
INTERSPEECH 2024
Leveraging Pretrained ASR Encoders for Effective and Efficient End-to-End Speech Intent Classification and Slot Filling
INTERSPEECH 2023
DSR: Dynamical Surface Representation as Implicit Neural Networks for Protein
NIPS 2023
MM-Fi: Multi-Modal Non-Intrusive 4D Human Dataset for Versatile Wireless Sensing
NIPS 2023
Triple Eagle: Simple, Fast and Practical Budget-Feasible Mechanisms
NIPS 2023
Practical Parallel Algorithms for Submodular Maximization Subject to a Knapsack Constraint with Nearly Optimal Adaptivity
AAAI 2023
Efficient Sequence Transduction by Jointly Predicting Tokens and Durations
ICML 2023
Chromatic Correlation Clustering, Revisited
NIPS 2022
Human-Robotic Prosthesis as Collaborating Agents for Symmetrical Walking
NIPS 2022
Randomized Algorithms for Submodular Function Maximization with a $k$-System Constraint
ICML 2021
SUTD-TrafficQA: A Question Answering Benchmark and an Efficient Network for Video Reasoning Over Traffic Events
CVPR 2021
FedVision: An Online Visual Object Detection Platform Powered by Federated Learning
AAAI 2020
FlowScope: Spotting Money Laundering Based on Graphs
AAAI 2020
Generative Dual Adversarial Network for Generalized Zero-Shot Learning
CVPR 2019
Learning under uncertainty: a comparison between R-W and Bayesian approach
NIPS 2016
Context-sensitive active sensing in humans
NIPS 2013