Ziyi Wang
34 papers · 2019–2026 · 11 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (10) π§ Keyword Pioneer π Renaissance Researcher (6) π Interdisciplinary Bridge π Conference Polyglot (10)
π
Conference Polyglot
(10)
π
Academic Marathon
(6)
π
Cross-Pollinator
(5)
π
Grand Slam
π§¬
Topic Evolution
π
Conference Pioneer
ποΈ
Keyword Collector
(141)
π₯
Unstoppable
(7)
β
The Questioner
π
Century Club
(25)
β‘
Prolific Year
(5)
Conferences
AAAI (6)
ACL (5)
CVPR (5)
ICCV (5)
NIPS (4)
ICLR (2)
L4DC (2)
RSS (2)
CORL (1)
ICML (1)
MICCAI (1)
Top co-authors
Keywords
point cloud
(6)
large language model
(3)
stochastic optimal control
(3)
diffusion model
(3)
semantic segmentation
(2)
forward-backward stochastic differential equation
(2)
neural network
(2)
stochastic control
(2)
model predictive control
(2)
state space model
(2)
action recognition
(2)
cross-modal learning
(2)
vision transformer
(2)
multi-agent system
(2)
synthetic data generation
(2)
recurrent neural network
(2)
image generation
(2)
3d vision
(2)
causal reasoning
(1)
transfer learning
(1)
Papers
Speech-Aware Long Context Pruning and Integration for Contextualized Automatic Speech Recognition
AAAI 2026
MP1: MeanFlow Tames Policy Learning in 1-step for Robotic Manipulation
AAAI 2026
Vision Transformers Are Circulant Attention Learners
AAAI 2026
TriEx: A Game-based Tri-View Framework for Explaining Internal Reasoning in Multi-Agent LLMs
ACL 2026
Trajectory2Task: Training Robust Tool-Calling Agents with Synthesized Yet Verifiable Data for Complex User Intents
ACL 2026
DAWN: Distributed LLM Multi-Agent Workflow Synthesis
AAAI 2026
Towards Privacy-Protected Generalized Gaze Estimation Using Diffusion Models and Domain Stability Adaptation Framework
AAAI 2026
OPeRA: A Dataset of Observation, Persona, Rationale, and Action for Evaluating LLMs on Human Online Shopping Behavior Simulation
ACL 2026
Mitigating Hallucinations in Large Language Models via Causal Reasoning
AAAI 2026
UniPre3D: Unified Pre-training of 3D Point Cloud Models with Cross-Modal Gaussian Splatting
CVPR 2025
Are Your LLMs Capable of Stable Reasoning?
ACL 2025
SemGeoMo: Dynamic Contextual Human Motion Generation with Semantic and Geometric Guidance
CVPR 2025
Endo3R: Unified Online Reconstruction from Dynamic Monocular Endoscopic Video
MICCAI 2025
UST-SSM: Unified Spatio-Temporal State Space Models for Point Cloud Video Modeling
ICCV 2025
Recognizing Actions from Robotic View for Natural Human-Robot Interaction
ICCV 2025
Cauchy-Schwarz Regularizers
ICLR 2025
Demystify Mamba in Vision: A Linear Attention Perspective
NIPS 2024
XMask3D: Cross-modal Mask Reasoning for Open Vocabulary 3D Semantic Segmentation
NIPS 2024
SelectIT: Selective Instruction Tuning for LLMs via Uncertainty-Aware Self-Reflection
NIPS 2024
RecDiffusion: Rectangling for Image Stitching with Diffusion Models
CVPR 2024
Self-Training with Pseudo-Label Scorer for Aspect Sentiment Quad Prediction
ACL 2024
Take-A-Photo: 3D-to-2D Generative Pre-training of Point Cloud Models
ICCV 2023
P2P: Tuning Pre-trained Image Models for Point Cloud Analysis with Point-to-Pixel Prompting
NIPS 2022
SemAffiNet: Semantic-Affine Transformation for Point Cloud Segmentation
CVPR 2022
Variational Inference MPC using Tsallis Divergence
RSS 2021
Towards Interpretable Deep Metric Learning With Structural Matching
ICCV 2021
PoinTr: Diverse Point Cloud Completion With Geometry-Aware Transformers
ICCV 2021
PV-RAFT: Point-Voxel Correlation Fields for Scene Flow Estimation of Point Clouds
CVPR 2021
Adaptive Risk Sensitive Model Predictive Control with Stochastic Search
L4DC 2021
Learning in Nonzero-Sum Stochastic Games with Potentials
ICML 2021
NOVAS: Non-convex Optimization via Adaptive Stochastic Search for End-to-end Learning and Control
ICLR 2021
Safe Optimal Control Using Stochastic Barrier Functions and Deep Forward-Backward SDEs
CORL 2020
Feynman-Kac Neural Network Architectures for Stochastic Control Using Second-Order FBSDE Theory
L4DC 2020
Learning Deep Stochastic Optimal Control Policies Using Forward-Backward SDEs
RSS 2019