Feng Tian
31 papers · 2015–2026 · 15 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (10) π Renaissance Researcher (6) π Interdisciplinary Bridge π£ Hot Topic Early Bird
πΊοΈ
Taxonomy Completionist
(10)
π§
Keyword Pioneer
π£
Hot Topic Early Bird
π€
Dynamic Duo
(11)
π
Grand Slam
π
Century Club
(30)
π
Conference Pioneer
π₯
Unstoppable
(5)
β‘
Prolific Year
(9)
ποΈ
Keyword Collector
(130)
Conferences
AAAI (9)
IJCAI (5)
EMNLP (3)
NIPS (3)
ACL (1)
ACML (1)
CORL (1)
CVPR (1)
ECCV (1)
ICCV (1)
ICLR (1)
ICML (1)
INTERSPEECH (1)
JMLR (1)
MICCAI (1)
Top co-authors
Keywords
generalized category discovery
(5)
semi-supervised learning
(4)
category discovery
(4)
representation learning
(4)
transfer learning
(3)
semantic similarity
(3)
contrastive learning
(3)
large language model
(3)
hyperbolic space
(2)
neural radiance field
(2)
novel category detection
(2)
sequential recommendation
(2)
prototype learning
(2)
collaborative filtering
(2)
knowledge transfer
(2)
attention mechanism
(2)
subspace clustering
(2)
image generation
(2)
nonnegative matrix factorization
(2)
3d gaussian splatting
(2)
Papers
Enhancing Retrieval-Augmented Large Vision Language Models via Knowledge Conflict Mitigation
AAAI 2026
GraphAvatar: Compact Head Avatars with GNN-Generated 3D Gaussians
AAAI 2025
LLMEmb: Large Language Model Can Be a Good Embedding Generator for Sequential Recommendation
AAAI 2025
Unleashing the Potential of Model Bias for Generalized Category Discovery
AAAI 2025
GazeGaussian: High-Fidelity Gaze Redirection with 3D Gaussian Splatting
ICCV 2025
Mitigating Object Hallucinations in Large Vision-Language Models with Assembly of Global and Local Attention
CVPR 2025
PostEdit: Posterior Sampling for Efficient Zero-Shot Image Editing
ICLR 2025
UniSegDiff: Boosting Unified Lesion Segmentation via a Staged Diffusion Model
MICCAI 2025
Timestep-Aware Correction for Quantized Diffusion Models
ECCV 2024
Flipped Classroom: Aligning Teacher Attention with Student in Generalized Category Discovery
NIPS 2024
Schedule Your Edit: A Simple yet Effective Diffusion Noise Schedule for Image Editing
NIPS 2024
G2L-CariGAN: Caricature Generation from Global Structure to Local Features
AAAI 2024
Transfer and Alignment Network for Generalized Category Discovery
AAAI 2024
A Unified Knowledge Transfer Network for Generalized Category Discovery
AAAI 2024
Generalized Category Discovery with Large Language Models in the Loop
ACL 2024
LLM-ESR: Large Language Models Enhancement for Long-tailed Sequential Recommendation
NIPS 2024
Perceiver-Prompt: Flexible Speaker Adaptation in Whisper for Chinese Disordered Speech Recognition
INTERSPEECH 2024
Tight and fast generalization error bound of graph embedding in metric space
ICML 2023
DNA: Denoised Neighborhood Aggregation for Fine-grained Category Discovery
EMNLP 2023
A Diffusion Weighted Graph Framework for New Intent Discovery
EMNLP 2023
Generalized Category Discovery with Decoupled Prototypical Network
AAAI 2023
Fine-grained Category Discovery under Coarse-grained supervision with Hierarchical Weighted Self-contrastive Learning
EMNLP 2022
Visual Learning Towards Soft Robot Force Control using a 3D Metamaterial with Differential Stiffness
CORL 2021
Hyperbolic Ordinal Embedding
ACML 2019
Attributed Subspace Clustering
IJCAI 2019
Orderly Subspace Clustering
AAAI 2019
Outer Product-based Neural Collaborative Filtering
IJCAI 2018
Ranking Preserving Nonnegative Matrix Factorization
IJCAI 2018
Multi-Component Nonnegative Matrix Factorization
IJCAI 2017
Stroke-Based Stylization Learning and Rendering with Inverse Reinforcement Learning
IJCAI 2015
Discrete Reproducing Kernel Hilbert Spaces: Sampling and Distribution of Dirac-masses
JMLR 2015