| 2026 | AAAI | ProCrop: Learning Aesthetic Image Cropping from Professional Compositions. | Ke Zhang, Tianyu Ding, Jiachen Jiang, Tianyi Chen, Ilya Zharkov, Vishal M. Patel, Luming Liang |
| 2025 | AAAI | StructSR: Refuse Spurious Details in Real-World Image Super-Resolution. | Yachao Li, Dong Liang, Tianyu Ding, Sheng-Jun Huang |
| 2025 | ACL | CoT-VTM: Visual-to-Music Generation with Chain-of-Thought Reasoning. | Xikang Guan, Zheng Gu, Jing Huo, Tianyu Ding, Yang Gao |
| 2025 | CVPR | Enhancing Few-Shot Class-Incremental Learning via Training-Free Bi-Level Modality Calibration. | Yiyang Chen, Tianyu Ding, Lei Wang, Jing Huo, Yang Gao, Wenbin Li |
| 2025 | CVPR | Automatic Joint Structured Pruning and Quantization for Efficient Neural Network Training and Compression. | Xiaoyi Qu, David Aponte, Colby R. Banbury, Daniel P. Robinson, Tianyu Ding, Kazuhito Koishida, Ilya Zharkov, Tianyi Chen |
| 2025 | CVPR | OFER: Occluded Face Expression Reconstruction. | Pratheba Selvaraju, Victoria Fernndez Abrevaya, Timo Bolkart, Rick Akkerman, Tianyu Ding, Faezeh Amjadi, Ilya Zharkov |
| 2025 | ECAI | Enhancing Trust-Region Bayesian Optimization via Newton Methods. | Quanlin Chen, Yiyu Chen, Jing Huo, Tianyu Ding, Yang Gao, Yuetong Chen |
| 2025 | ICML | DistiLLM-2: A Contrastive Approach Boosts the Distillation of LLMs. | Jongwoo Ko, Tianyi Chen, Sungnyun Kim, Tianyu Ding, Luming Liang, Ilya Zharkov, Se-Young Yun |
| 2024 | CVPR | Exploiting Inter-sample and Inter-feature Relations in Dataset Distillation. | Wenxiao Deng, Wenbin Li, Tianyu Ding, Lei Wang, Hongguang Zhang, Kuihua Huang, Jing Huo, Yang Gao |
| 2024 | CVPR | DREAM: Diffusion Rectification and Estimation-Adaptive Models. | Jinxin Zhou, Tianyu Ding, Tianyi Chen, Jiachen Jiang, Ilya Zharkov, Zhihui Zhu, Luming Liang |
| 2024 | ECCV | CaesarNeRF: Calibrated Semantic Representation for Few-Shot Generalizable Neural Rendering. | Haidong Zhu, Tianyu Ding, Tianyi Chen, Ilya Zharkov, Ram Nevatia, Luming Liang |
| 2024 | ICLR | InsertNeRF: Instilling Generalizability into NeRF with HyperNet Modules. | Yanqi Bao, Tianyu Ding, Jing Huo, Wenbin Li, Yuxin Li, Yang Gao |
| 2024 | ICML | Safe and Robust Subgame Exploitation in Imperfect Information Games. | Zhenxing Ge, Zheng Xu, Tianyu Ding, Linjian Meng, Bo An, Wenbin Li, Yang Gao |
| 2024 | PPSN | Re-examining Supervised Dimension Reduction for High-Dimensional Bayesian Optimization. | Quanlin Chen, Jing Huo, Yiyu Chen, Tianyu Ding, Yang Gao, Dong Li, Xu He |
| 2023 | ICLR | OTOv2: Automatic, Generic, User-Friendly. | Tianyi Chen, Luming Liang, Tianyu Ding, Zhihui Zhu, Ilya Zharkov |
| 2022 | CVPR | RSTT: Real-time Spatial Temporal Transformer for Space-Time Video Super-Resolution. | Zhicheng Geng, Luming Liang, Tianyu Ding, Ilya Zharkov |
| 2022 | DASFAA | Learning and Fusing Multiple User Interest Representations for Sequential Recommendation. | Ming He, Tianshuo Han, Tianyu Ding |
| 2022 | ICML | On the Optimization Landscape of Neural Collapse under MSE Loss: Global Optimality with Unconstrained Features. | Jinxin Zhou, Xiao Li, Tianyu Ding, Chong You, Qing Qu, Zhihui Zhu |
| 2022 | ICWE | Multilevel Feature Interaction Learning for Session-Based Recommendation via Graph Neural Networks. | Ming He, Tianshuo Han, Tianyu Ding |
| 2021 | AISTATS | Dual Principal Component Pursuit for Learning a Union of Hyperplanes: Theory and Algorithms. | Tianyu Ding, Zhihui Zhu, Manolis C. Tsakiris, Ren Vidal, Daniel P. Robinson |
| 2021 | CVPR | CDFI: Compression-Driven Network Design for Frame Interpolation. | Tianyu Ding, Luming Liang, Zhihui Zhu, Ilya Zharkov |
| 2021 | ICML | Dual Principal Component Pursuit for Robust Subspace Learning: Theory and Algorithms for a Holistic Approach. | Tianyu Ding, Zhihui Zhu, Ren Vidal, Daniel P. Robinson |
| 2021 | PAKDD | SAGCN: Towards Structure-Aware Deep Graph Convolutional Networks on Node Classification. | Ming He, Tianyu Ding, Tianshuo Han |
| 2019 | ICML | Noisy Dual Principal Component Pursuit. | Tianyu Ding, Zhihui Zhu, Tianjiao Ding, Yunchen Yang, Daniel P. Robinson, Manolis C. Tsakiris, Ren Vidal |