Chen, Yu

71 publications

ICML 2025 A Chaotic Dynamics Framework Inspired by Dorsal Stream for Event Signal Processing Yu Chen, Jing Lian, Zhaofei Yu, Jizhao Liu, Jisheng Dang, Gang Wang

ICML 2025 A Closer Look at Transformers for Time Series Forecasting: Understanding Why They Work and Where They Struggle Yu Chen, Nathalia Céspedes, Payam Barnaghi

AAAI 2025 A Pioneering Neural Network Method for Efficient and Robust Fuel Sloshing Simulation in Aircraft Yu Chen, Shuai Zheng, Nianyi Wang, Menglong Jin, Yan Chang

NeurIPS 2025 ATLAS: Autoformalizing Theorems Through Lifting, Augmentation, and Synthesis of Data Xiaoyang Liu, Kangjie Bao, Jiashuo Zhang, Yunqi Liu, Yu Chen, Yuntian Liu, Yang Jiao, Tao Luo

NeurIPS 2025 Confidence-Aware with Prototype Alignment for Partial Multi-Label Learning Weijun Lv, Yu Chen, Xiaozhao Fang, Xuhuan Zhu, Jie Wen, Guoxu Zhou, Sixian Chan

NeurIPS 2025 Deep Gaussian from Motion: Exploring 3D Geometric Foundation Models for Gaussian Splatting Yu Chen, Rolandos Alexandros Potamias, Evangelos Ververas, Jifei Song, Jiankang Deng, Gim Hee Lee

AAAI 2025 Developing Chatbots for Sustainability: Experiential Learning in an Undergraduate Business Course Dailin Zheng, Yu Chen, Yee Kit Chan, Erica Lai, Leslie J. Albert

ICML 2025 Finite-Time Analysis of Discrete-Time Stochastic Interpolants Yuhao Liu, Yu Chen, Rui Hu, Longbo Huang

NeurIPS 2025 FlowPrune: Accelerating Attention Flow Calculation by Pruning Flow Network Shuo Xu, Yu Chen, Shuxia Lin, Xin Geng, Xu Yang

CVPR 2025 Image Quality Assessment: Investigating Causal Perceptual Effects with Abductive Counterfactual Inference Wenhao Shen, Mingliang Zhou, Yu Chen, Xuekai Wei, Yong Feng, Huayan Pu, Weijia Jia

IJCAI 2025 Pseudo-Label Reconstruction for Partial Multi-Label Learning Yu Chen, Fang Li, Na Han, Guanbin Li, Hongbo Gao, Sixian Chan, Xiaozhao Fang

ICLRW 2025 Reconstructing Dynamics from Steady Spatial Patterns with Partial Observations Xinyue Luo, Xuzhe Qian, Yu Chen, Huaxiong Huang, Jin Cheng

ICCV 2025 Scaling and Taming Adversarial Training with Synthetic Data Juntao Wu, Xianting Huang, Yu Chen, Shuai Pang, Ke Wang

ICLR 2025 uniINF: Best-of-Both-Worlds Algorithm for Parameter-Free Heavy-Tailed MABs Yu Chen, Jiatai Huang, Yan Dai, Longbo Huang

NeurIPS 2024 DOGS: Distributed-Oriented Gaussian Splatting for Large-Scale 3D Reconstruction via Gaussian Consensus Yu Chen, Gim Hee Lee

ICLR 2024 FFB: A Fair Fairness Benchmark for In-Processing Group Fairness Methods Xiaotian Han, Jianfeng Chi, Yu Chen, Qifan Wang, Han Zhao, Na Zou, Xia Hu

CVPR 2024 Generating Handwritten Mathematical Expressions from Symbol Graphs: An End-to-End Pipeline Yu Chen, Fei Gao, Yanguang Zhang, Maoying Qiao, Nannan Wang

NeurIPS 2024 GeoLRM: Geometry-Aware Large Reconstruction Model for High-Quality 3D Gaussian Generation Chubin Zhang, Hongliang Song, Yi Wei, Yu Chen, Jiwen Lu, Yansong Tang

NeurIPS 2024 MeLLoC: Lossless Compression with High-Order Mechanism Learning Xinyue Luo, Jin Cheng, Yu Chen

AAAI 2024 Multi-Constellation-Inspired Single-Shot Global LiDAR Localization Tongzhou Zhang, Gang Wang, Yu Chen, Hai Zhang, Jue Hu

CVPR 2024 Multi-Scale 3D Gaussian Splatting for Anti-Aliased Rendering Zhiwen Yan, Weng Fei Low, Yu Chen, Gim Hee Lee

TMLR 2024 On the Equivalence of Graph Convolution and Mixup Xiaotian Han, Hanqing Zeng, Yu Chen, Shaoliang Nie, Jingzhou Liu, Kanika Narang, Zahra Shakeri, Karthik Abinav Sankararaman, Song Jiang, Madian Khabsa, Qifan Wang, Xia Hu

ICML 2024 Provable Risk-Sensitive Distributional Reinforcement Learning with General Function Approximation Yu Chen, Xiangcheng Zhang, Siwei Wang, Longbo Huang

ICLR 2024 Provably Efficient Iterated CVaR Reinforcement Learning with Function Approximation and Human Feedback Yu Chen, Yihan Du, Pihe Hu, Siwei Wang, Desheng Wu, Longbo Huang

ICML 2024 Provably Efficient Partially Observable Risk-Sensitive Reinforcement Learning with Hindsight Observation Tonghe Zhang, Yu Chen, Longbo Huang

NeurIPSW 2024 Recurrent Interpolants for Probabilistic Time Series Prediction Yu Chen, Marin Biloš, Sarthak Mittal, Wei Deng, Kashif Rasul, Anderson Schneider

UAI 2024 Reflected Schrödinger Bridge for Constrained Generative Modeling Wei Deng, Yu Chen, Nicole Tianjiao Yang, Hengrong Du, Qi Feng, Ricky Tian Qi Chen

ICML 2024 Variational Schrödinger Diffusion Models Wei Deng, Weijian Luo, Yixin Tan, Marin Biloš, Yu Chen, Yuriy Nevmyvaka, Ricky T. Q. Chen

CVPR 2023 DBARF: Deep Bundle-Adjusting Generalizable Neural Radiance Fields Yu Chen, Gim Hee Lee

ICCV 2023 DReg-NeRF: Deep Registration for Neural Radiance Fields Yu Chen, Gim Hee Lee

UAI 2023 Detection of Short-Term Temporal Dependencies in Hawkes Processes with Heterogeneous Background Dynamics Yu Chen, Fengpei Li, Anderson Schneider, Yuriy Nevmyvaka, Asohan Amarasingham, Henry Lam

FnTML 2023 Graph Neural Networks for Natural Language Processing: A Survey Lingfei Wu, Yu Chen, Kai Shen, Xiaojie Guo, Hanning Gao, Shucheng Li, Jian Pei, Bo Long

UAI 2023 Inference and Sampling of Point Processes from Diffusion Excursions Ali Hasan, Yu Chen, Yuting Ng, Mohamed Abdelghani, Anderson Schneider, Vahid Tarokh

UAI 2023 Information Theoretic Clustering via Divergence Maximization Among Clusters Sahil Garg, Mina Dalirrooyfard, Anderson Schneider, Yeshaya Adler, Yuriy Nevmyvaka, Yu Chen, Fengpei Li, Guillermo Cecchi

ICMLW 2023 Interpreting Differentiable Latent States for Healthcare Time-Series Data Yu Chen, Nivedita Bijlani, Samaneh Kouchaki, Payam Barnaghi

CVPR 2023 MMVC: Learned Multi-Mode Video Compression with Block-Based Prediction Mode Selection and Density-Adaptive Entropy Coding Bowen Liu, Yu Chen, Rakesh Chowdary Machineni, Shiyu Liu, Hun-Seok Kim

ICMLW 2023 On Convergence of Approximate Schr\"odinger Bridge with Bounded Cost Wei Deng, Yu Chen, Nicole Tianjiao Yang, Hengrong Du, Qi Feng, Ricky T. Q. Chen

ICML 2023 Provably Convergent Schrödinger Bridge with Applications to Probabilistic Time Series Imputation Yu Chen, Wei Deng, Shikai Fang, Fengpei Li, Nicole Tianjiao Yang, Yikai Zhang, Kashif Rasul, Shandian Zhe, Anderson Schneider, Yuriy Nevmyvaka

ICLR 2023 Towards Minimax Optimal Reward-Free Reinforcement Learning in Linear MDPs Pihe Hu, Yu Chen, Longbo Huang

ECCV 2022 Efficient Deep Visual and Inertial Odometry with Adaptive Visual Modality Selection Mingyu Yang, Yu Chen, Hun-Seok Kim

UAI 2022 Estimating Transfer Entropy Under Long Ranged Dependencies Sahil Garg, Umang Gupta, Yu Chen, Syamantak Datta Gupta, Yeshaya Adler, Anderson Schneider, Yuriy Nevmyvaka

ICML 2022 Nearly Minimax Optimal Reinforcement Learning with Linear Function Approximation Pihe Hu, Yu Chen, Longbo Huang

ICCVW 2021 Characterizing Scattered Occlusions for Effective Dense-Mode Crowd Counting Khalid J. Almalki, Baek-Young Choi, Yu Chen, Sejun Song

NeurIPSW 2021 Continual Density Ratio Estimation Yu Chen, Song Liu, Tom Diethe, Peter Flach

CVPR 2021 Deep Learning in Latent Space for Video Prediction and Compression Bowen Liu, Yu Chen, Shiyu Liu, Hun-Seok Kim

CVPR 2021 Generic Perceptual Loss for Modeling Structured Output Dependencies Yifan Liu, Hao Chen, Yu Chen, Wei Yin, Chunhua Shen

CVPR 2021 Hybrid Rotation Averaging: A Fast and Robust Rotation Averaging Approach Yu Chen, Ji Zhao, Laurent Kneip

ICLR 2021 Retrieval-Augmented Generation for Code Summarization via Hybrid GNN Shangqing Liu, Yu Chen, Xiaofei Xie, Jing Kai Siow, Yang Liu

AAAI 2021 The LOB Recreation Model: Predicting the Limit Order Book from TAQ History Using an Ordinary Differential Equation Recurrent Neural Network Zijian Shi, Yu Chen, John Cartlidge

AAAI 2021 Towards Faster Deep Collaborative Filtering via Hierarchical Decision Networks Yu Chen, Sinno Jialin Pan

MLJ 2020 Communication-Efficient Distributed Multi-Task Learning with Matrix Sparsity Regularization Qiang Zhou, Yu Chen, Sinno Jialin Pan

IJCAI 2020 GraphFlow: Exploiting Conversation Flow with Graph Neural Networks for Conversational Machine Comprehension Yu Chen, Lingfei Wu, Mohammed J. Zaki

NeurIPS 2020 Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddings Yu Chen, Lingfei Wu, Mohammed Zaki

ICML 2020 On Efficient Constructions of Checkpoints Yu Chen, Zhenming Liu, Bin Ren, Xin Jin

ICLR 2020 Reinforcement Learning Based Graph-to-Sequence Model for Natural Question Generation Yu Chen, Lingfei Wu, Mohammed J. Zaki

AISTATS 2019 $β^3$-IRT: A New Item Response Model and Its Applications Yu Chen, Telmo Silva Filho, Ricardo B. Prudencio, Tom Diethe, Peter Flach

ICCVW 2019 Deep Garment Image Matting for a Virtual Try-on System Dongjoe Shin, Yu Chen

NeurIPS 2019 Fisher Efficient Inference of Intractable Models Song Liu, Takafumi Kanamori, Wittawat Jitkrittum, Yu Chen

IJCAI 2019 Network Formation Under Random Attack and Probabilistic Spread Yu Chen, Shahin Jabbari, Michael J. Kearns, Sanjeev Khanna, Jamie Morgenstern

AAAI 2019 Towards Highly Accurate and Stable Face Alignment for High-Resolution Videos Ying Tai, Yicong Liang, Xiaoming Liu, Lei Duan, Jilin Li, Chengjie Wang, Feiyue Huang, Yu Chen

AAAI 2018 Cross-Domain Human Parsing via Adversarial Feature and Label Adaptation Si Liu, Yao Sun, Defa Zhu, Guanghui Ren, Yu Chen, Jiashi Feng, Jizhong Han

ICCVW 2017 3D Garment Digitisation for Virtual Wardrobe Using a Commodity Depth Sensor Yu Chen, Dongjoe Shin

ICCV 2017 Adversarial PoseNet: A Structure-Aware Convolutional Network for Human Pose Estimation Yu Chen, Chunhua Shen, Xiu-Shen Wei, Lingqiao Liu, Jian Yang

IJCAI 2017 MRLR: Multi-Level Representation Learning for Personalized Ranking in Recommendation Zhu Sun, Jie Yang, Jie Zhang, Alessandro Bozzon, Yu Chen, Chi Xu

IJCAI 2016 ADL™: A Topic Model for Discovery of Activities of Daily Living in a Smart Home Yu Chen, Tom Diethe, Peter A. Flach

ICCV 2011 Silhouette-Based Object Phenotype Recognition Using 3D Shape Priors Yu Chen, Tae-Kyun Kim, Roberto Cipolla

ECCV 2010 Inferring 3D Shapes and Deformations from Single Views Yu Chen, Tae-Kyun Kim, Roberto Cipolla

CVPR 2009 3D Reconstruction of Curved Objects from Single 2D Line Drawings Yingze Wang, Yu Chen, Jianzhuang Liu, Xiaoou Tang

ICCVW 2009 Learning Shape Priors for Single View Reconstruction Yu Chen, Roberto Cipolla

CVPR 2008 Sketching in the Air: A Vision-Based System for 3D Object Design Yu Chen, Jianzhuang Liu, Xiaoou Tang

ICCV 2007 A Divide-and-Conquer Approach to 3D Object Reconstruction from Line Drawings Yu Chen, Jianzhuang Liu, Xiaoou Tang