Wei Sun
47 papers · 2013–2026 · 16 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (11) π§ Keyword Pioneer π Interdisciplinary Bridge π Renaissance Researcher (7) π Conference Polyglot (15)
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Conference Polyglot
(15)
π
Academic Marathon
(12)
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Cross-Pollinator
(8)
π
Keyword Champion
π
Grand Slam
π§¬
Topic Evolution
π€
Dynamic Duo
(10)
π
Triple Crown
ποΈ
Keyword Collector
(206)
π₯
Unstoppable
(8)
π
Trend Setter
π
Century Club
(42)
β
The Questioner
β‘
Prolific Year
(6)
π
Conference Pioneer
Conferences
AAAI (10)
ICML (6)
CVPR (5)
ICLR (5)
NIPS (5)
IJCAI (3)
ACL (2)
ICCV (2)
NSDI (2)
AISTATS (1)
EACL (1)
ECCV (1)
EMNLP (1)
INTERSPEECH (1)
JMLR (1)
NAACL (1)
Top co-authors
Research topics
Keywords
online learning
(3)
regret bound
(3)
mixed-integer programming
(3)
neural network
(3)
video quality assessment
(3)
multi-armed bandit
(3)
video generation
(3)
large language model
(2)
observational datum
(2)
reinforcement learning
(2)
large multimodal model
(2)
graphical model
(2)
3d vision
(2)
column generation
(2)
decision tree
(2)
non-convex optimization
(1)
network architecture
(1)
benchmark evaluation
(1)
image generation
(1)
zero-shot learning
(1)
Papers
Weakly-supervised Argument Mining with Boundary Refinement and Relation Denoising
EACL 2026
Audio-Assisted Face Video Restoration with Temporal and Identity Complementary Learning
AAAI 2026
FedBRICK: Structural Bias Aware Heterogeneous Foundation Model Federated Tuning
AAAI 2026
Self-Enhanced Image Clustering with Cross-Modal Semantic Consistency
AAAI 2026
VQAThinker: Exploring Generalizable and Explainable Video Quality Assessment via Reinforcement Learning
AAAI 2026
API Pack: A Massive Multi-Programming Language Dataset for API Call Generation
ICLR 2025
Semi-Supervised Vision-Centric 3D Occupancy World Model for Autonomous Driving
ICLR 2025
An Efficient and Precise Training Data Construction Framework for Process-supervised Reward Model in Mathematical Reasoning
ACL 2025
Mitigating Negative Interference in Multilingual Knowledge Editing through Null-Space Constraints
ACL 2025
Look Again, Think Slowly: Enhancing Visual Reflection in Vision-Language Models
EMNLP 2025
Privacy-Preserving Personalized Federated Prompt Learning for Multimodal Large Language Models
ICLR 2025
Q-Bench-Video: Benchmark the Video Quality Understanding of LMMs
CVPR 2025
Q-Eval-100K: Evaluating Visual Quality and Alignment Level for Text-to-Vision Content
CVPR 2025
AGAV-Rater: Adapting Large Multimodal Model for AI-Generated Audio-Visual Quality Assessment
ICML 2025
A-Bench: Are LMMs Masters at Evaluating AI-generated Images?
ICLR 2025
DiffStega: Towards Universal Training-Free Coverless Image Steganography with Diffusion Models
IJCAI 2024
GAIA: Rethinking Action Quality Assessment for AI-Generated Videos
NIPS 2024
Manifold-Aligned Counterfactual Explanations for Neural Networks
AISTATS 2024
OST: Refining Text Knowledge with Optimal Spatio-Temporal Descriptor for General Video Recognition
CVPR 2024
Alleviating Exposure Bias in Diffusion Models through Sampling with Shifted Time Steps
ICLR 2024
Learning Optimal Projection for Forecast Reconciliation of Hierarchical Time Series
ICML 2024
Perceiver-Prompt: Flexible Speaker Adaptation in Whisper for Chinese Disordered Speech Recognition
INTERSPEECH 2024
Scalable Optimal Multiway-Split Decision Trees with Constraints
AAAI 2023
Agglomerative Transformer for Human-Object Interaction Detection
ICCV 2023
Learning Prescriptive ReLU Networks
ICML 2023
MD-VQA: Multi-Dimensional Quality Assessment for UGC Live Videos
CVPR 2023
MM-PCQA: Multi-Modal Learning for No-reference Point Cloud Quality Assessment
IJCAI 2023
Video-based Human-Object Interaction Detection from Tubelet Tokens
NIPS 2022
HNO: High-Order Numerical Architecture for ODE-Inspired Deep Unfolding Networks
AAAI 2022
Enhancing Counterfactual Classification Performance via Self-Training
AAAI 2022
Constrained Prescriptive Trees via Column Generation
AAAI 2022
DominoSearch: Find layer-wise fine-grained N:M sparse schemes from dense neural networks
NIPS 2021
MAVL: Multiresolution Analysis of Voice Localization
NSDI 2021
Model Distillation for Revenue Optimization: Interpretable Personalized Pricing
ICML 2021
Attentive Normalization
ECCV 2020
Fatigue-Aware Bandits for Dependent Click Models
AAAI 2020
PVN3D: A Deep Point-Wise 3D Keypoints Voting Network for 6DoF Pose Estimation
CVPR 2020
Image Synthesis From Reconfigurable Layout and Style
ICCV 2019
Dynamic Learning with Frequent New Product Launches: A Sequential Multinomial Logit Bandit Problem
ICML 2019
Learn to Select via Hierarchical Gate Mechanism for Aspect-Based Sentiment Analysis
IJCAI 2019
Ranking-Based Autoencoder for Extreme Multi-label Classification
NAACL 2019
Model-Agnostic and Efficient Exploration of Numerical State Space of Real-World TCP Congestion Control Implementations
NSDI 2019
Dynamic Learning of Sequential Choice Bandit Problem under Marketing Fatigue
AAAI 2019
Sketching Method for Large Scale Combinatorial Inference
NIPS 2018
Non-convex Statistical Optimization for Sparse Tensor Graphical Model
NIPS 2015
Latent Variable Copula Inference for Bundle Pricing from Retail Transaction Data
ICML 2014
Consistent Selection of Tuning Parameters via Variable Selection Stability
JMLR 2013