Tianyu Ding - RankMe

79 papers A* 21A 2B 1Journal 46Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	DeltaEvolve: Accelerating Scientific Discovery through Momentum-Driven Evolution. CoRR Jiachen Jiang, Tianyu Ding, Zhihui Zhu
2026	A*	`conf`	ProCrop: Learning Aesthetic Image Cropping from Professional Compositions. AAAI Ke Zhang, Tianyu Ding, Jiachen Jiang, Tianyi Chen, Ilya Zharkov, Vishal M. Patel, Luming Liang
2026	J	`jnl`	Robust Fine-Grained Visual Categorization via Cyclical Attention. IEEE Trans. Neural Networks Learn. Syst. Bin Kang, Dong Liang, Daoyuan Chen, Tianyu Ding, Mingqiang Wei
2026	J	`jnl`	Robust unsupervised visual tracking via image-to-video identity knowledge transferring. Pattern Recognit. Bin Kang, Zongyu Wang, Dong Liang, Tianyu Ding, Songlin Du
2025	J	`jnl`	3D Gaussian Splatting: Survey, Technologies, Challenges, and Opportunities. IEEE Trans. Circuits Syst. Video Technol. Yanqi Bao, Tianyu Ding, Jing Huo, Yaoli Liu, Yuxin Li, Wenbin Li, Yang Gao, Jiebo Luo
2025	J	`jnl`	AppSelectBench: Application-Level Tool Selection Benchmark. CoRR Tianyi Chen, Michael Solodko, Sen Wang, Jongwoo Ko, Junheng Hao, Colby R. Banbury, Sara Abdali, Saeed Amizadeh, Qing Xiao, Yinheng Li, Tianyu Ding, Kamran Ghasedi Dizaji, Suzhen Zheng, Hao Fan, Justin Wagle, Pashmina Cameron, Kazuhito Koishida
2025	A*	`conf`	Automatic Joint Structured Pruning and Quantization for Efficient Neural Network Training and Compression. CVPR Xiaoyi Qu, David Aponte, Colby R. Banbury, Daniel P. Robinson, Tianyu Ding, Kazuhito Koishida, Ilya Zharkov, Tianyi Chen
2025	J	`jnl`	Automatic Joint Structured Pruning and Quantization for Efficient Neural Network Training and Compression. CoRR Xiaoyi Qu, David Aponte, Colby R. Banbury, Daniel P. Robinson, Tianyu Ding, Kazuhito Koishida, Ilya Zharkov, Tianyi Chen
2025	J	`jnl`	Cat-AIR: Content and Task-Aware All-in-One Image Restoration. CoRR Jiachen Jiang, Tianyu Ding, Ke Zhang, Jinxin Zhou, Tianyi Chen, Ilya Zharkov, Zhihui Zhu, Luming Liang
2025	—	`conf`	CoT-VTM: Visual-to-Music Generation with Chain-of-Thought Reasoning. ACL (Findings) Xikang Guan, Zheng Gu, Jing Huo, Tianyu Ding, Yang Gao
2025	A*	`conf`	DistiLLM-2: A Contrastive Approach Boosts the Distillation of LLMs. ICML Jongwoo Ko, Tianyi Chen, Sungnyun Kim, Tianyu Ding, Luming Liang, Ilya Zharkov, Se-Young Yun
2025	J	`jnl`	DistiLLM-2: A Contrastive Approach Boosts the Distillation of LLMs. CoRR Jongwoo Ko, Tianyi Chen, Sungnyun Kim, Tianyu Ding, Luming Liang, Ilya Zharkov, Se-Young Yun
2025	A*	`conf`	Enhancing Few-Shot Class-Incremental Learning via Training-Free Bi-Level Modality Calibration. CVPR Yiyang Chen, Tianyu Ding, Lei Wang, Jing Huo, Yang Gao, Wenbin Li
2025	A	`conf`	Enhancing Trust-Region Bayesian Optimization via Newton Methods. ECAI Quanlin Chen, Yiyu Chen, Jing Huo, Tianyu Ding, Yang Gao, Yuetong Chen
2025	J	`jnl`	Enhancing Trust-Region Bayesian Optimization via Newton Methods. CoRR Quanlin Chen, Yiyu Chen, Jing Huo, Tianyu Ding, Yang Gao, Yuetong Chen
2025	J	`jnl`	Multi-Task Multi-Agent Reinforcement Learning With Interaction and Task Representations. IEEE Trans. Neural Networks Learn. Syst. Chao Li, Shaokang Dong, Shangdong Yang, Yujing Hu, Tianyu Ding, Wenbin Li, Yang Gao
2025	A*	`conf`	OFER: Occluded Face Expression Reconstruction. CVPR Pratheba Selvaraju, Victoria Fernández Abrevaya, Timo Bolkart, Rick Akkerman, Tianyu Ding, Faezeh Amjadi, Ilya Zharkov
2025	J	`jnl`	ONNXPruner: ONNX-Based General Model Pruning Adapter. IEEE Trans. Pattern Anal. Mach. Intell. Dongdong Ren, Wenbin Li, Tianyu Ding, Lei Wang, Qi Fan, Jing Huo, Hongbing Pan, Yang Gao
2025	J	`jnl`	ProCrop: Learning Aesthetic Image Cropping from Professional Compositions. CoRR Ke Zhang, Tianyu Ding, Jiachen Jiang, Tianyi Chen, Ilya Zharkov, Vishal M. Patel, Luming Liang
2025	J	`jnl`	Robust Dataset Distillation by Matching Adversarial Trajectories. CoRR Wei Lai, Tianyu Ding, Dongdong Ren, Lei Wang, Jing Huo, Yang Gao, Wenbin Li
2025	J	`jnl`	State Abstraction via Deep Supervised Hash Learning. IEEE Trans. Neural Networks Learn. Syst. Guang Yang, Zheng Xu, Jing Huo, Shangdong Yang, Tianyu Ding, Xingguo Chen, Yang Gao
2025	A*	`conf`	StructSR: Refuse Spurious Details in Real-World Image Super-Resolution. AAAI Yachao Li, Dong Liang, Tianyu Ding, Sheng-Jun Huang
2025	J	`jnl`	StructSR: Refuse Spurious Details in Real-World Image Super-Resolution. CoRR Yachao Li, Dong Liang, Tianyu Ding, Sheng-Jun Huang
2024	J	`jnl`	3D Gaussian Splatting: Survey, Technologies, Challenges, and Opportunities. CoRR Yanqi Bao, Tianyu Ding, Jing Huo, Yaoli Liu, Yuxin Li, Wenbin Li, Yang Gao, Jiebo Luo
2024	J	`jnl`	AdaContour: Adaptive Contour Descriptor with Hierarchical Representation. CoRR Tianyu Ding, Jinxin Zhou, Tianyi Chen, Zhihui Zhu, Ilya Zharkov, Luming Liang
2024	J	`jnl`	Analyzing and Improving Model Collapse in Rectified Flow Models. CoRR Huminhao Zhu, Fangyikang Wang, Tianyu Ding, Qing Qu, Zhihui Zhu
2024	—	`conf`	CaesarNeRF: Calibrated Semantic Representation for Few-Shot Generalizable Neural Rendering. ECCV (6) Haidong Zhu, Tianyu Ding, Tianyi Chen, Ilya Zharkov, Ram Nevatia, Luming Liang
2024	A*	`conf`	DREAM: Diffusion Rectification and Estimation-Adaptive Models. CVPR Jinxin Zhou, Tianyu Ding, Tianyi Chen, Jiachen Jiang, Ilya Zharkov, Zhihui Zhu, Luming Liang
2024	A*	`conf`	Exploiting Inter-sample and Inter-feature Relations in Dataset Distillation. CVPR Wenxiao Deng, Wenbin Li, Tianyu Ding, Lei Wang, Hongguang Zhang, Kuihua Huang, Jing Huo, Yang Gao
2024	J	`jnl`	Exploiting Inter-sample and Inter-feature Relations in Dataset Distillation. CoRR Wenxiao Deng, Wenbin Li, Tianyu Ding, Lei Wang, Hongguang Zhang, Kuihua Huang, Jing Huo, Yang Gao
2024	J	`jnl`	FORA: Fast-Forward Caching in Diffusion Transformer Acceleration. CoRR Pratheba Selvaraju, Tianyu Ding, Tianyi Chen, Ilya Zharkov, Luming Liang
2024	J	`jnl`	HESSO: Towards Automatic Efficient and User Friendly Any Neural Network Training and Pruning. CoRR Tianyi Chen, Xiaoyi Qu, David Aponte, Colby R. Banbury, Jongwoo Ko, Tianyu Ding, Yong Ma, Vladimir Lyapunov, Ilya Zharkov, Luming Liang
2024	A*	`conf`	InsertNeRF: Instilling Generalizability into NeRF with HyperNet Modules. ICLR Yanqi Bao, Tianyu Ding, Jing Huo, Wenbin Li, Yuxin Li, Yang Gao
2024	J	`jnl`	OFER: Occluded Face Expression Reconstruction. CoRR Pratheba Selvaraju, Victoria Fernández Abrevaya, Timo Bolkart, Rick Akkerman, Tianyu Ding, Faezeh Amjadi, Ilya Zharkov
2024	J	`jnl`	ONNXPruner: ONNX-Based General Model Pruning Adapter. CoRR Dongdong Ren, Wenbin Li, Tianyu Ding, Lei Wang, Qi Fan, Jing Huo, Hongbing Pan, Yang Gao
2024	J	`jnl`	Probing the Robustness of Vision-Language Pretrained Models: A Multimodal Adversarial Attack Approach. CoRR Jiwei Guan, Tianyu Ding, Longbing Cao, Lei Pan, Chen Wang, Xi Zheng
2024	—	`conf`	Re-examining Supervised Dimension Reduction for High-Dimensional Bayesian Optimization. PPSN (2) Quanlin Chen, Jing Huo, Yiyu Chen, Tianyu Ding, Yang Gao, Dong Li, Xu He
2024	J	`jnl`	S3Editor: A Sparse Semantic-Disentangled Self-Training Framework for Face Video Editing. CoRR Guangzhi Wang, Tianyi Chen, Kamran Ghasedi, HsiangTao Wu, Tianyu Ding, Chris Nuesmeyer, Ilya Zharkov, Mohan S. Kankanhalli, Luming Liang
2024	A*	`conf`	Safe and Robust Subgame Exploitation in Imperfect Information Games. ICML Zhenxing Ge, Zheng Xu, Tianyu Ding, Linjian Meng, Bo An, Wenbin Li, Yang Gao
2024	—	`conf`	Task-Aware Few-Shot Image Generation via Dynamic Local Distribution Estimation and Sampling. PRCV (2) Zheng Gu, Wenbin Li, Tianyu Ding, Zhengli Wang, Jing Huo, Kuihua Huang, Yang Gao
2024	J	`jnl`	VERA: Validation and Evaluation of Retrieval-Augmented Systems. CoRR Tianyu Ding, Adi Banerjee, Laurent Mombaerts, Yunhong Li, Tarik Borogovac, Juan Pablo De la Cruz Weinstein
2023	J	`jnl`	CaesarNeRF: Calibrated Semantic Representation for Few-shot Generalizable Neural Rendering. CoRR Haidong Zhu, Tianyu Ding, Tianyi Chen, Ilya Zharkov, Ram Nevatia, Luming Liang
2023	J	`jnl`	Conversation and recommendation: knowledge-enhanced personalized dialog system. Knowl. Inf. Syst. Ming He, Jiwen Wang, Tianyu Ding, Tong Shen
2023	J	`jnl`	DREAM: Diffusion Rectification and Estimation-Adaptive Models. CoRR Jinxin Zhou, Tianyu Ding, Tianyi Chen, Jiachen Jiang, Ilya Zharkov, Zhihui Zhu, Luming Liang
2023	A*	`conf`	Efficient Subgame Refinement for Extensive-form Games. NeurIPS Zhenxing Ge, Zheng Xu, Tianyu Ding, Wenbin Li, Yang Gao
2023	J	`jnl`	InsertNeRF: Instilling Generalizability into NeRF with HyperNet Modules. CoRR Yanqi Bao, Tianyu Ding, Jing Huo, Wenbin Li, Yuxin Li, Yang Gao
2023	J	`jnl`	LoRAShear: Efficient Large Language Model Structured Pruning and Knowledge Recovery. CoRR Tianyi Chen, Tianyu Ding, Badal Yadav, Ilya Zharkov, Luming Liang
2023	J	`jnl`	OTOV2: Automatic, Generic, User-Friendly. CoRR Tianyi Chen, Luming Liang, Tianyu Ding, Zhihui Zhu, Ilya Zharkov
2023	A*	`conf`	OTOv2: Automatic, Generic, User-Friendly. ICLR Tianyi Chen, Luming Liang, Tianyu Ding, Zhihui Zhu, Ilya Zharkov
2023	J	`jnl`	OTOv3: Automatic Architecture-Agnostic Neural Network Training and Compression from Structured Pruning to Erasing Operators. CoRR Tianyi Chen, Tianyu Ding, Zhihui Zhu, Zeyu Chen, HsiangTao Wu, Ilya Zharkov, Luming Liang
2023	J	`jnl`	The Efficiency Spectrum of Large Language Models: An Algorithmic Survey. CoRR Tianyu Ding, Tianyi Chen, Haidong Zhu, Jiachen Jiang, Yiqi Zhong, Jinxin Zhou, Guangzhi Wang, Zhihui Zhu, Ilya Zharkov, Luming Liang
2023	J	`jnl`	Towards Automatic Neural Architecture Search within General Super-Networks. CoRR Tianyi Chen, Luming Liang, Tianyu Ding, Ilya Zharkov
2023	A*	`conf`	Where and How: Mitigating Confusion in Neural Radiance Fields from Sparse Inputs. ACM Multimedia Yanqi Bao, Yuxin Li, Jing Huo, Tianyu Ding, Xinyue Liang, Wenbin Li, Yang Gao
2023	J	`jnl`	Where and How: Mitigating Confusion in Neural Radiance Fields from Sparse Inputs. CoRR Yanqi Bao, Yuxin Li, Jing Huo, Tianyu Ding, Xinyue Liang, Wenbin Li, Yang Gao
2022	—	`conf`	Learning and Fusing Multiple User Interest Representations for Sequential Recommendation. DASFAA (3) Ming He, Tianshuo Han, Tianyu Ding
2022	B	`conf`	Multilevel Feature Interaction Learning for Session-Based Recommendation via Graph Neural Networks. ICWE Ming He, Tianshuo Han, Tianyu Ding
2022	A*	`conf`	On the Optimization Landscape of Neural Collapse under MSE Loss: Global Optimality with Unconstrained Features. ICML Jinxin Zhou, Xiao Li, Tianyu Ding, Chong You, Qing Qu, Zhihui Zhu
2022	J	`jnl`	On the Optimization Landscape of Neural Collapse under MSE Loss: Global Optimality with Unconstrained Features. CoRR Jinxin Zhou, Xiao Li, Tianyu Ding, Chong You, Qing Qu, Zhihui Zhu
2022	A*	`conf`	RSTT: Real-time Spatial Temporal Transformer for Space-Time Video Super-Resolution. CVPR Zhicheng Geng, Luming Liang, Tianyu Ding, Ilya Zharkov
2022	J	`jnl`	RSTT: Real-time Spatial Temporal Transformer for Space-Time Video Super-Resolution. CoRR Zhicheng Geng, Luming Liang, Tianyu Ding, Ilya Zharkov
2022	J	`jnl`	Sparsity-guided Network Design for Frame Interpolation. CoRR Tianyu Ding, Luming Liang, Zhihui Zhu, Tianyi Chen, Ilya Zharkov
2021	A*	`conf`	A Geometric Analysis of Neural Collapse with Unconstrained Features. NeurIPS Zhihui Zhu, Tianyu Ding, Jinxin Zhou, Xiao Li, Chong You, Jeremias Sulam, Qing Qu
2021	J	`jnl`	A Geometric Analysis of Neural Collapse with Unconstrained Features. CoRR Zhihui Zhu, Tianyu Ding, Jinxin Zhou, Xiao Li, Chong You, Jeremias Sulam, Qing Qu
2021	A*	`conf`	CDFI: Compression-Driven Network Design for Frame Interpolation. CVPR Tianyu Ding, Luming Liang, Zhihui Zhu, Ilya Zharkov
2021	J	`jnl`	CDFI: Compression-Driven Network Design for Frame Interpolation. CoRR Tianyu Ding, Luming Liang, Zhihui Zhu, Ilya Zharkov
2021	A	`conf`	Dual Principal Component Pursuit for Learning a Union of Hyperplanes: Theory and Algorithms. AISTATS Tianyu Ding, Zhihui Zhu, Manolis C. Tsakiris, René Vidal, Daniel P. Robinson
2021	A*	`conf`	Dual Principal Component Pursuit for Robust Subspace Learning: Theory and Algorithms for a Holistic Approach. ICML Tianyu Ding, Zhihui Zhu, René Vidal, Daniel P. Robinson
2021	A*	`conf`	Only Train Once: A One-Shot Neural Network Training And Pruning Framework. NeurIPS Tianyi Chen, Bo Ji, Tianyu Ding, Biyi Fang, Guanyi Wang, Zhihui Zhu, Luming Liang, Yixin Shi, Sheng Yi, Xiao Tu
2021	J	`jnl`	Only Train Once: A One-Shot Neural Network Training And Pruning Framework. CoRR Tianyi Chen, Bo Ji, Tianyu Ding, Biyi Fang, Guanyi Wang, Zhihui Zhu, Luming Liang, Yixin Shi, Sheng Yi, Xiao Tu
2021	—	`conf`	SAGCN: Towards Structure-Aware Deep Graph Convolutional Networks on Node Classification. PAKDD (2) Ming He, Tianyu Ding, Tianshuo Han
2020	J	`jnl`	Early Detection of Sepsis using Ensemblers. CoRR Shailesh Nirgudkar, Tianyu Ding
2020	J	`jnl`	Neural Network Compression Via Sparse Optimization. CoRR Tianyi Chen, Bo Ji, Yixin Shi, Tianyu Ding, Biyi Fang, Sheng Yi, Xiao Tu
2020	—	`conf`	Orthant Based Proximal Stochastic Gradient Method for ℓ ECML/PKDD (3) Tianyi Chen, Tianyu Ding, Bo Ji, Guanyi Wang, Yixin Shi, Jing Tian, Sheng Yi, Xiao Tu, Zhihui Zhu
2020	J	`jnl`	Orthant Based Proximal Stochastic Gradient Method for 𝓁 CoRR Tianyi Chen, Tianyu Ding, Bo Ji, Guanyi Wang, Yixin Shi, Sheng Yi, Xiao Tu, Zhihui Zhu
2019	A*	`conf`	A Linearly Convergent Method for Non-Smooth Non-Convex Optimization on the Grassmannian with Applications to Robust Subspace and Dictionary Learning. NeurIPS Zhihui Zhu, Tianyu Ding, Daniel P. Robinson, Manolis C. Tsakiris, René Vidal
2019	—	`conf`	Early Detection of Sepsis Using Ensemblers. CinC Shailesh Nirgudkar, Tianyu Ding
2019	A*	`conf`	Noisy Dual Principal Component Pursuit. ICML Tianyu Ding, Zhihui Zhu, Tianjiao Ding, Yunchen Yang, Daniel P. Robinson, Manolis C. Tsakiris, René Vidal
2017	J	`jnl`	An Analytical Method for Probabilistic Modeling of the Steady-State Behavior of Secondary Residential System. IEEE Trans. Smart Grid Tianyu Ding, Hao Liang, Wilsun Xu
2012	—	`conf`	A new framework of probabilistic production simulation of power systems with wind energy resources. ISGT Europe Tianyu Ding, Zhaohong Bie, Can Sun, Xiuli Wang, Xifan Wang