Siqi Wang
20 papers · 2019–2026 · 9 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (6) π§ Keyword Pioneer π Interdisciplinary Bridge π Conference Polyglot (9) π Cross-Pollinator (13)
π
Academic Marathon
(6)
πΊοΈ
Taxonomy Completionist
(48)
π
Cross-Pollinator
(13)
π₯
Mega-Team
(20)
π§¬
Topic Evolution
π
Conference Pioneer
π
Trend Setter
π
Century Club
(15)
π₯
Unstoppable
(7)
ποΈ
Keyword Collector
(107)
β‘
Prolific Year
(5)
Conferences
AAAI (7)
NIPS (3)
ACL (2)
EMNLP (2)
IJCAI (2)
CVPR (1)
ECCV (1)
ICCV (1)
MICCAI (1)
Top co-authors
Research topics
Keywords
reinforcement learning
(3)
neural network optimization
(2)
scaling law
(2)
autonomous driving
(2)
image classification
(2)
unsupervised learning
(2)
transfer learning
(1)
optimal transport
(1)
representation learning
(1)
object detection
(1)
3d occupancy prediction
(1)
frame interpolation
(1)
self-supervised learning
(1)
knowledge distillation
(1)
hyperparameter optimization
(1)
model architecture
(1)
depth estimation
(1)
matrix factorization
(1)
chain-of-thought reasoning
(1)
domain adaptation
(1)
Papers
MEML-GRPO: Heterogeneous Multi-Expert Mutual Learning for RLVR Advancement
AAAI 2026
Attention to Threat-Relevant Objects: Reasoning Detection in Autonomous Driving via Multimodal Large Language Models
AAAI 2026
LaF-GRPO: In-Situ Navigation Instruction Generation for the Visually Impaired via GRPO with LLM-as-Follower Reward
AAAI 2026
RealRep: Generalized SDR-to-HDR Conversion via Attribute-Disentangled Representation Learning
AAAI 2026
Scaling and Transferability of Annealing Strategies in Large Language Model Training
AAAI 2026
Revisiting Scaling Laws for Language Models: The Role of Data Quality and Training Strategies
ACL 2025
DyMAS-Net: Dynamic Multi-Scale Adaptive Sampling Network for Efficient Medical Image Segmentation
MICCAI 2025
Exploring the Frontiers of Animation Video Generation in the Sora Era: Method, Dataset and Benchmark
IJCAI 2025
Achieving Speed-Accuracy Balance in Vision-based 3D Occupancy Prediction via Geometric-Semantic Disentanglement
AAAI 2025
CoSafe: Evaluating Large Language Model Safety in Multi-Turn Dialogue Coreference
EMNLP 2024
Optimal Transport Guided Correlation Assignment for Multimodal Entity Linking
ACL 2024
LNL+K: Enhancing Learning with Noisy Labels Through Noise Source Knowledge Integration
ECCV 2024
Scaling Laws Across Model Architectures: A Comparative Analysis of Dense and MoE Models in Large Language Models
EMNLP 2024
CHAMMI: A benchmark for channel-adaptive models in microscopy imaging
NIPS 2023
Deep Anomaly Discovery From Unlabeled Videos via Normality Advantage and Self-Paced Refinement
CVPR 2022
LTMD: Learning Improvement of Spiking Neural Networks with Learnable Thresholding Neurons and Moderate Dropout
NIPS 2022
One-Pass Multi-View Clustering for Large-Scale Data
ICCV 2021
Self-Supervised Gait Encoding with Locality-Aware Attention for Person Re-Identification
IJCAI 2020
Robustness Can Be Cheap: A Highly Efficient Approach to Discover Outliers under High Outlier Ratios
AAAI 2019
Effective End-to-end Unsupervised Outlier Detection via Inlier Priority of Discriminative Network
NIPS 2019