Hanyu Wang
15 papers · 2018–2026 · 10 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🌉 Interdisciplinary Bridge · Silver 🌍 Conference Polyglot · Gold 🏃 Academic Marathon · Sprint 🐣 Hot Topic Early Bird 🗺️ Taxonomy Completionist (36)
🏆
Grand Slam
🗃️
Keyword Collector
(71)
🔥
Unstoppable · Bronze
⚡
Prolific Year · Productive
🚀
Conference Pioneer
💎
Century Club · Bronze
Venues
Top co-authors
Research topics
Artificial Intelligence
(9)
Machine Learning
(9)
Core AI
(9)
Deep Learning
(7)
Models
(6)
Computer Vision
(5)
Natural Language Processing
(5)
Core Methods
(5)
Learning Types
(5)
Generation · Computer Vision
(4)
Generation · Natural Language Processing
(3)
Processing
(3)
Application Areas
(2)
Optimization & Theory
(2)
Resources & Methods
(2)
Keywords
large language model
(4)
video compression
(3)
neural representation
(2)
implicit neural representation
(2)
action recognition
(2)
multimodal learning
(2)
autoregressive model
(2)
retrieval-augmented generation
(2)
generative model
(2)
cross-modal learning
(1)
vector quantization
(1)
implicit representation
(1)
model pruning
(1)
policy gradient
(1)
posterior sampling
(1)
flow matching
(1)
temporal reasoning
(1)
adversarial attack
(1)
diffusion model
(1)
neural compression
(1)
Papers
SEAP: Sparse Expert Activation Pruning Unlocks the Brainpower of Large Language Models
AAAI 2026
Integrating Large Language Models and Möbius Group Transformations for Temporal Knowledge Graph Embedding on the Riemann Sphere
AAAI 2025
LARP: Tokenizing Videos with a Learned Autoregressive Generative Prior
ICLR 2025
MoC: Mixtures of Text Chunking Learners for Retrieval-Augmented Generation System
ACL 2025
SafeRAG: Benchmarking Security in Retrieval-Augmented Generation of Large Language Model
ACL 2025
TruthFlow: Truthful LLM Generation via Representation Flow Correction
ICML 2025
Controlled Text Generation for Large Language Model with Dynamic Attribute Graphs
ACL 2024
Multimodality-Guided Image Style Transfer Using Cross-Modal GAN Inversion
WACV 2024
Solving General Noisy Inverse Problem via Posterior Sampling: A Policy Gradient Viewpoint
AISTATS 2024
Chop & Learn: Recognizing and Generating Object-State Compositions
ICCV 2023
NIRVANA: Neural Implicit Representations of Videos With Adaptive Networks and Autoregressive Patch-Wise Modeling
CVPR 2023
Towards Scalable Neural Representation for Diverse Videos
CVPR 2023
Neural Space-Filling Curves
ECCV 2022
NeRV: Neural Representations for Videos
NeurIPS 2021
Learning 3D Keypoint Descriptors for Non-Rigid Shape Matching
ECCV 2018