Ziming Wang
18 papers · 2022–2026 · 8 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (8) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (12) π§ Keyword Pioneer π£ Hot Topic Early Bird
π
Interdisciplinary Bridge
π£
Hot Topic Early Bird
π
Grand Slam
ποΈ
Keyword Collector
(71)
β‘
Prolific Year
(7)
π
Century Club
(14)
π₯
Unstoppable
(5)
β
The Questioner
Conferences
AAAI (5)
ACL (5)
ECCV (2)
ICML (2)
ICCV (1)
ICLR (1)
IJCAI (1)
NIPS (1)
Top co-authors
Keywords
spiking neural network
(3)
large language model
(2)
surrogate gradient
(2)
multimodal learning
(2)
reinforcement learning
(2)
benchmark evaluation
(2)
vision-language model
(2)
sentiment analysis
(1)
multilingual nlp
(1)
spectral clustering
(1)
attention mechanism
(1)
in-context learning
(1)
factuality evaluation
(1)
visual question answering
(1)
action recognition
(1)
neural network optimization
(1)
3d vision
(1)
temporal dynamics
(1)
energy efficiency
(1)
confidence calibration
(1)
Papers
Mobile-R1: Towards Interactive Capability for VLM-Based Mobile Agent via Systematic Training
ACL 2026
DeepPhy: Benchmarking Agentic VLMs on Physical Reasoning
AAAI 2026
Fine-Tuned LLMs Know They Donβt Know: A Parameter-Efficient Approach to Recovering Honesty
AAAI 2026
Global Compression Commander: Plug-and-Play Inference Acceleration for High-Resolution Large Vision-Language Models
AAAI 2026
See the World, Discover Knowledge: A Chinese Factuality Evaluation for Large Vision Language Models
ACL 2025
FanChuan: A Multilingual and Graph-Structured Benchmark For Parody Detection and Analysis
ACL 2025
CombatVLA: An Efficient Vision-Language-Action Model for Combat Tasks in 3D Action Role-Playing Games
ICCV 2025
GRSN: Gated Recurrent Spiking Neurons for POMDPs and MARL
AAAI 2025
Towards Objective Fine-tuning: How LLMsβ Prior Knowledge Causes Potential Poor Calibration?
ACL 2025
Data Whisperer: Efficient Data Selection for Task-Specific LLM Fine-Tuning via Few-Shot In-Context Learning
ACL 2025
Theoretical Performance Guarantees for Partial Domain Adaptation via Partial Optimal Transport
ICML 2025
SE(3)-bi-equivariant Transformers for Point Cloud Assembly
NIPS 2024
DVSAI: Diverse View-Shared Anchors Based Incomplete Multi-View Clustering
AAAI 2024
EAS-SNN: End-to-End Adaptive Sampling and Representation for Event-based Detection with Recurrent Spiking Neural Networks
ECCV 2024
Adaptive Smoothing Gradient Learning for Spiking Neural Networks
ICML 2023
Learnable Surrogate Gradient for Direct Training Spiking Neural Networks
IJCAI 2023
Partial Wasserstein Adversarial Network for Non-rigid Point Set Registration
ICLR 2022
Improving RGB-D Point Cloud Registration by Learning Multi-Scale Local Linear Transformation
ECCV 2022