Zhi Wang
48 papers · 2019–2026 · 13 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (12) π Interdisciplinary Bridge π§ Keyword Pioneer π£ Hot Topic Early Bird π Academic Marathon (6)
πΊοΈ
Taxonomy Completionist
(106)
π
Interdisciplinary Bridge
π
Conference Polyglot
(12)
π§¬
Topic Evolution
π
Grand Slam
ποΈ
Keyword Collector
(237)
π
Conference Pioneer
π
Century Club
(41)
π₯
Unstoppable
(7)
β
The Questioner
β‘
Prolific Year
(13)
Conferences
AAAI (15)
CVPR (6)
ICCV (6)
NIPS (5)
ACL (3)
AISTATS (2)
ECCV (2)
ICLR (2)
ICML (2)
IJCAI (2)
ALT (1)
EMNLP (1)
UAI (1)
Top co-authors
Keywords
model compression
(6)
multi-task learning
(4)
transfer learning
(4)
regret bound
(3)
semantic segmentation
(3)
reinforcement learning
(3)
vision-language model
(3)
online learning
(3)
neural network
(3)
neural network optimization
(2)
zero-shot learning
(2)
model quantization
(2)
test-time adaptation
(2)
neural architecture search
(2)
remote sensing
(2)
medical imaging
(2)
feature extraction
(2)
point cloud
(2)
representation learning
(2)
offline reinforcement learning
(2)
Papers
SIAM: Towards Generalizable Articulated Object Modeling via Single Robot-Object Interaction
AAAI 2026
Medical VisionβLanguage Pretraining with LLM-Guided Temporal Supervision
AAAI 2026
MoETTA: Test-Time Adaptation Under Mixed Distribution Shifts with MoE-LayerNorm
AAAI 2026
Reasoning Over Space: Enabling Geographic Reasoning for LLM-Based Generative Next POI Recommendation
ACL 2026
Bridging Lifelong and Multi-Task Representation Learning: An Algorithm and a Complexity Measure
ALT 2026
Bridging Kernel Drivers and Virtual Device Models with LLM-Powered Automation
ACL 2026
DynamicEarth: How Far Are We from Open-Vocabulary Change Detection?
AAAI 2026
DICE: Staleness-Centric Optimizations for Parallel Diffusion MoE Inference
ICCV 2025
CATP-LLM: Empowering Large Language Models for Cost-Aware Tool Planning
ICCV 2025
PAL: Sample-Efficient Personalized Reward Modeling for Pluralistic Alignment
ICLR 2025
Divide and Conquer: Grounding LLMs as Efficient Decision-Making Agents via Offline Hierarchical Reinforcement Learning
ICML 2025
Enhancing Implicit Neural Representations via Symmetric Power Transformation
AAAI 2025
JAQ: Joint Efficient Architecture Design and Low-Bit Quantization with Hardware-Software Co-Exploration
AAAI 2025
COSMIC: Clique-Oriented Semantic Multi-space Integration for Robust CLIP Test-Time Adaptation
CVPR 2025
EVOS: Efficient Implicit Neural Training via EVOlutionary Selector
CVPR 2025
Q-DiT: Accurate Post-Training Quantization for Diffusion Transformers
CVPR 2025
SegEarth-OV: Towards Training-Free Open-Vocabulary Segmentation for Remote Sensing Images
CVPR 2025
Beyond A Single AI Cluster: A Survey of Decentralized LLM Training
EMNLP 2025
Music-Aligned Holistic 3D Dance Generation via Hierarchical Motion Modeling
ICCV 2025
Beyond task diversity: provable representation transfer for sequential multitask linear bandits
NIPS 2024
Retraining-Free Model Quantization via One-Shot Weight-Coupling Learning
CVPR 2024
MesonGS: Post-training Compression of 3D Gaussians via Efficient Attribute Transformation
ECCV 2024
Metric Learning from Limited Pairwise Preference Comparisons
UAI 2024
Nonconvex Multiview Subspace Clustering Framework with Efficient Method Designs and Theoretical Analysis
IJCAI 2024
Vision-Language Pre-training with Object Contrastive Learning for 3D Scene Understanding
AAAI 2024
Procedural Level Generation with Diffusion Models from a Single Example
AAAI 2024
OVD-Explorer: Optimism Should Not Be the Sole Pursuit of Exploration in Noisy Environments
AAAI 2024
Attention-Guided Contrastive Role Representations for Multi-agent Reinforcement Learning
ICLR 2024
Invertible Residual Rescaling Models
IJCAI 2024
Towards Compact 3D Representations via Point Feature Enhancement Masked Autoencoders
AAAI 2024
LCM: Locally Constrained Compact Point Cloud Model for Masked Point Modeling
NIPS 2024
Meta-DT: Offline Meta-RL as Conditional Sequence Modeling with World Model Disentanglement
NIPS 2024
ElasticViT: Conflict-aware Supernet Training for Deploying Fast Vision Transformer on Diverse Mobile Devices
ICCV 2023
BadTrack: A Poison-Only Backdoor Attack on Visual Object Tracking
NIPS 2023
Weakly-Supervised Semantic Segmentation for Histopathology Images Based on Dataset Synthesis and Feature Consistency Constraint
AAAI 2023
Curriculum Multi-Negative Augmentation for Debiased Video Grounding
AAAI 2023
FSR: A General Frequency-Oriented Framework to Accelerate Image Super-resolution Networks
AAAI 2023
Instance-aware Dynamic Prompt Tuning for Pre-trained Point Cloud Models
ICCV 2023
GIFD: A Generative Gradient Inversion Method with Feature Domain Optimization
ICCV 2023
Thompson Sampling for Robust Transfer in Multi-Task Bandits
ICML 2022
Mixed-Precision Neural Network Quantization via Learned Layer-Wise Importance
ECCV 2022
Online Continual Adaptation with Active Self-Training
AISTATS 2022
bert2BERT: Towards Reusable Pretrained Language Models
ACL 2022
Multitask Bandit Learning Through Heterogeneous Feedback Aggregation
AISTATS 2021
Provably efficient multi-task reinforcement learning with model transfer
NIPS 2021
A Spherical Convolution Approach for Learning Long Term Viewport Prediction in 360 Immersive Video
AAAI 2020
Texture and Shape Biased Two-Stream Networks for Clothing Classification and Attribute Recognition
CVPR 2020
Better Fine-Tuning via Instance Weighting for Text Classification
AAAI 2019