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Conferences
Tianyu Ding
16 papers at tracked venues · 13 at CORE A* · active 2024–2026
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CVPR
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AAAI
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ICML
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NeurIPS
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ACL
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ECAI
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ECCV
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ICLR
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Frequent coauthors
Linjian Meng
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Quanlin Chen
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Ke Zhang
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Xiaoyi Qu
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Xikang Guan
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Jongwoo Ko
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Yiyang Chen
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Pratheba Selvaraju
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Yachao Li
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Haidong Zhu
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Jinxin Zhou
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Wenxiao Deng
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Papers
ProCrop: Learning Aesthetic Image Cropping from Professional Compositions
AAAI 2026
·
Ke Zhang
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Automatic Joint Structured Pruning and Quantization for Efficient Neural Network Training and Compression
CVPR 2025
·
Xiaoyi Qu
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CoT-VTM: Visual-to-Music Generation with Chain-of-Thought Reasoning
ACL 2025
·
Xikang Guan
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DistiLLM-2: A Contrastive Approach Boosts the Distillation of LLMs
ICML 2025
·
Jongwoo Ko
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Efficient Last-Iterate Convergence in Solving Extensive-Form Games
NeurIPS 2025
·
Linjian Meng
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Enhancing Few-Shot Class-Incremental Learning via Training-Free Bi-Level Modality Calibration
CVPR 2025
·
Yiyang Chen
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Enhancing Trust-Region Bayesian Optimization via Newton Methods
ECAI 2025
·
Quanlin Chen
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Last-Iterate Convergence of Smooth Regret Matching$+$ Variants in Learning Nash Equilibria
NeurIPS 2025
·
Linjian Meng
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OFER: Occluded Face Expression Reconstruction
CVPR 2025
·
Pratheba Selvaraju
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StructSR: Refuse Spurious Details in Real-World Image Super-Resolution
AAAI 2025
·
Yachao Li
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CaesarNeRF: Calibrated Semantic Representation for Few-Shot Generalizable Neural Rendering
ECCV 2024
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Haidong Zhu
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DREAM: Diffusion Rectification and Estimation-Adaptive Models
CVPR 2024
·
Jinxin Zhou
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Exploiting Inter-sample and Inter-feature Relations in Dataset Distillation
CVPR 2024
·
Wenxiao Deng
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InsertNeRF: Instilling Generalizability into NeRF with HyperNet Modules
ICLR 2024
·
Yanqi Bao
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Re-examining Supervised Dimension Reduction for High-Dimensional Bayesian Optimization
PPSN 2024
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Quanlin Chen
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Safe and Robust Subgame Exploitation in Imperfect Information Games
ICML 2024
·
Zhenxing Ge
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