Ding, Yi

24 publications

ICLR 2026 ECHO: Toward Contextual Seq2Seq Paradigms in Large EEG Models Chenyu Liu, Yuqiu Deng, Tianyu Liu, Jinan Zhou, Xinliang Zhou, Ziyu Jia, Yi Ding

ICLR 2026 HEEGNet: Hyperbolic Embeddings for EEG Shanglin Li, Chu Shiwen, Okan Koç, Yi Ding, Qibin Zhao, Motoaki Kawanabe, Ziheng Chen

ICLR 2026 Rethinking Bottlenecks in Safety Fine-Tuning of Vision Language Models Yi Ding, Lijun Li, Bing Cao, Jing Shao

ICLR 2026 Uni-NTFM: A Unified Foundation Model for EEG Signal Representation Learning Zhisheng Chen, Yingwei Zhang, Qizhen Lan, Tianyu Liu, Huacan Wang, Yi Ding, Ziyu Jia, Ronghao Chen, Kun Wang, Xinliang Zhou

ICLR 2026 ViTSP: A Vision Language Models Guided Framework for Solving Large-Scale Traveling Salesman Problems Zhuoli Yin, Yi Ding, Reem Khir, Hua Cai

ICLR 2025 ETA: Evaluating Then Aligning Safety of Vision Language Models at Inference Time Yi Ding, Bolian Li, Ruqi Zhang

ICLR 2025 MamBEV: Enabling State Space Models to Learn Birds-Eye-View Representations Hongyu Ke, Jack Morris, Kentaro Oguchi, Xiaofei Cao, Yongkang Liu, Haoxin Wang, Yi Ding

NeurIPS 2025 REFED: A Subject Real-Time Dynamic Labeled EEG-fNIRS Synchronized Recorded Emotion Dataset Xiaojun Ning, Jing Wang, Zhiyang Feng, Tianzuo Xin, Shuo Zhang, Shaoqi Zhang, Zheng Lian, Yi Ding, Youfang Lin, Ziyu Jia

NeurIPS 2025 Sherlock: Self-Correcting Reasoning in Vision-Language Models Yi Ding, Ruqi Zhang

ICML 2024 Predictive Dynamic Fusion Bing Cao, Yinan Xia, Yi Ding, Changqing Zhang, Qinghua Hu

ECCV 2024 SparseSSP: 3D Subcellular Structure Prediction from Sparse-View Transmitted Light Images Jintu Zheng, Yi Ding, Qizhe Liu, Yuehui Chen, Yi Cao, Ying Hu, Zenan Wang

NeurIPS 2024 Test-Time Dynamic Image Fusion Bing Cao, Yinan Xia, Yi Ding, Changqing Zhang, Qinghua Hu

CVPRW 2022 Continuous Emotion Recognition Using Visual-Audio-Linguistic Information: A Technical Report for ABAW3 Su Zhang, Ruyi An, Yi Ding, Cuntai Guan

CVPR 2021 Augmentation Strategies for Learning with Noisy Labels Kento Nishi, Yi Ding, Alex Rich, Tobias Hollerer

ICCVW 2021 Continuous Emotion Recognition with Audio-Visual Leader-Follower Attentive Fusion Su Zhang, Yi Ding, Ziquan Wei, Cuntai Guan

AAAI 2021 Improving Label Noise Robustness with Data Augmentation and Semi-Supervised Learning (Student Abstract) Kento Nishi, Yi Ding, Alex Rich, Tobias Höllerer

NeurIPS 2020 A Polynomial-Time Algorithm for Learning Nonparametric Causal Graphs Ming Gao, Yi Ding, Bryon Aragam

AISTATS 2020 Dynamical Systems Theory for Causal Inference with Application to Synthetic Control Methods Yi Ding, Panos Toulis

AAAI 2020 Exploring the Benefits of Depth Information in Object Pixel Masking (Student Abstract) Anish Kachinthaya, Yi Ding, Tobias Höllerer

NeurIPS 2020 Handling Missing Data with Graph Representation Learning Jiaxuan You, Xiaobai Ma, Yi Ding, Mykel J Kochenderfer, Jure Leskovec

NeurIPS 2017 Multiresolution Kernel Approximation for Gaussian Process Regression Yi Ding, Risi Kondor, Jonathan Eskreis-Winkler

AAAI 2015 An Adaptive Gradient Method for Online AUC Maximization Yi Ding, Peilin Zhao, Steven C. H. Hoi, Yew-Soon Ong

AAAI 2014 Learning Relative Similarity by Stochastic Dual Coordinate Ascent Pengcheng Wu, Yi Ding, Peilin Zhao, Chunyan Miao, Steven C. H. Hoi

CVPR 2007 Segmental Hidden Markov Models for View-Based Sport Video Analysis Yi Ding, Guoliang Fan