Sun, Yu

62 publications

TMLR 2025 Batch Training for Streaming Time Series: A Transferable Augmentation Framework to Combat Distribution Shifts Weiyang Zhang, Xinyang Chen, Yu Sun, Weili Guan, Liqiang Nie

AAAI 2025 Graph Structure Learning for Spatial-Temporal Imputation: Adapting to Node and Feature Scales Xinyu Yang, Yu Sun, Xinyang Chen, Ying Zhang, Xiaojie Yuan

NeurIPS 2025 GuardSet-X: Massive Multi-Domain Safety Policy-Grounded Guardrail Dataset Mintong Kang, Zhaorun Chen, Chejian Xu, Jiawei Zhang, Chengquan Guo, Minzhou Pan, Ivan Revilla, Yu Sun, Bo Li

ICLR 2025 InverseBench: Benchmarking Plug-and-Play Diffusion Priors for Inverse Problems in Physical Sciences Hongkai Zheng, Wenda Chu, Bingliang Zhang, Zihui Wu, Austin Wang, Berthy Feng, Caifeng Zou, Yu Sun, Nikola Borislavov Kovachki, Zachary E Ross, Katherine Bouman, Yisong Yue

ICML 2025 Learning to (Learn at Test Time): RNNs with Expressive Hidden States Yu Sun, Xinhao Li, Karan Dalal, Jiarui Xu, Arjun Vikram, Genghan Zhang, Yann Dubois, Xinlei Chen, Xiaolong Wang, Sanmi Koyejo, Tatsunori Hashimoto, Carlos Guestrin

NeurIPS 2025 LoRO: Real-Time On-Device Secure Inference for LLMs via TEE-Based Low Rank Obfuscation Gaojian Xiong, Yu Sun, Jianhua Liu, Jian Cui, Jianwei Liu

TMLR 2025 Long Short-Term Imputer: Handling Consecutive Missing Values in Time Series Jiacheng You, Xinyang Chen, Yu Sun, Weili Guan, Liqiang Nie

ICLR 2025 MA-RLHF: Reinforcement Learning from Human Feedback with Macro Actions Yekun Chai, Haoran Sun, Huang Fang, Shuohuan Wang, Yu Sun, Hua Wu

NeurIPS 2025 Meta Guidance: Incorporating Inductive Biases into Deep Time Series Imputers Jiacheng You, Xinyang Chen, Yu Sun, Weili Guan, Liqiang Nie

TMLR 2025 Metamorphic Forward Adaptation Network: Dynamically Adaptive and Modular Multi-Layer Learning Yu Sun, Vijja Wichitwechkarn, Ronald Clark, Mirko Kovac, Basaran Bahadir Kocer

ICML 2025 Mixture of Hidden-Dimensions: Not All Hidden-States’ Dimensions Are Needed in Transformer Yilong Chen, Junyuan Shang, Zhenyu Zhang, Jiawei Sheng, Tingwen Liu, Shuohuan Wang, Yu Sun, Hua Wu, Haifeng Wang

CVPR 2025 One-Minute Video Generation with Test-Time Training Karan Dalal, Daniel Koceja, Jiarui Xu, Yue Zhao, Shihao Han, Ka Chun Cheung, Jan Kautz, Yejin Choi, Yu Sun, Xiaolong Wang

CVPR 2025 PromptHMR: Promptable Human Mesh Recovery Yufu Wang, Yu Sun, Priyanka Patel, Kostas Daniilidis, Michael J. Black, Muhammed Kocabas

JMLR 2025 Test-Time Training on Video Streams Renhao Wang, Yu Sun, Arnuv Tandon, Yossi Gandelsman, Xinlei Chen, Alexei A. Efros, Xiaolong Wang

NeurIPS 2025 Whitened Score Diffusion: A Structured Prior for Imaging Inverse Problems Jeffrey Alido, Tongyu Li, Yu Sun, Lei Tian

CVPR 2024 ChatPose: Chatting About 3D Human Pose Yao Feng, Jing Lin, Sai Kumar Dwivedi, Yu Sun, Priyanka Patel, Michael J. Black

NeurIPS 2024 DHA: Learning Decoupled-Head Attention from Transformer Checkpoints via Adaptive Heads Fusion Yilong Chen, Linhao Zhang, Junyuan Shang, Zhenyu Zhang, Tingwen Liu, Shuohuan Wang, Yu Sun

NeurIPS 2024 Frequency-Aware Generative Models for Multivariate Time Series Imputation Xinyu Yang, Yu Sun, Xiaojie Yuan, Xinyang Chen

CoRL 2024 Generalizing End-to-End Autonomous Driving in Real-World Environments Using Zero-Shot LLMs Zeyu Dong, Yimin Zhu, Yansong Li, Kevin Mahon, Yu Sun

ICML 2024 High-Order Contrastive Learning with Fine-Grained Comparative Levels for Sparse Ordinal Tensor Completion Yu Dai, Junchen Shen, Zijie Zhai, Danlin Liu, Jingyang Chen, Yu Sun, Ping Li, Jie Zhang, Kai Zhang

NeurIPS 2024 Principled Probabilistic Imaging Using Diffusion Models as Plug-and-Play Priors Zihui Wu, Yu Sun, Yifan Chen, Bingliang Zhang, Yisong Yue, Katherine L. Bouman

ICLR 2024 Test-Time Training on Nearest Neighbors for Large Language Models Moritz Hardt, Yu Sun

CVPR 2024 TokenHMR: Advancing Human Mesh Recovery with a Tokenized Pose Representation Sai Kumar Dwivedi, Yu Sun, Priyanka Patel, Yao Feng, Michael J. Black

ICLR 2024 Tool-Augmented Reward Modeling Lei Li, Yekun Chai, Shuohuan Wang, Yu Sun, Hao Tian, Ningyu Zhang, Hua Wu

CVPR 2023 ERNIE-ViLG 2.0: Improving Text-to-Image Diffusion Model with Knowledge-Enhanced Mixture-of-Denoising-Experts Zhida Feng, Zhenyu Zhang, Xintong Yu, Yewei Fang, Lanxin Li, Xuyi Chen, Yuxiang Lu, Jiaxiang Liu, Weichong Yin, Shikun Feng, Yu Sun, Li Chen, Hao Tian, Hua Wu, Haifeng Wang

AAAI 2023 End-to-End Pipeline for Trigger Detection on Hit and Track Graphs Tingting Xuan, Yimin Zhu, Giorgian Borca-Tasciuc, Ming Xiong Liu, Yu Sun, Cameron Dean, Yasser Corrales Morales, Zhaozhong Shi, Dantong Yu

ICLR 2023 Instance-Wise Batch Label Restoration via Gradients in Federated Learning Kailang Ma, Yu Sun, Jian Cui, Dawei Li, Zhenyu Guan, Jianwei Liu

AAAI 2023 Pose-Oriented Transformer with Uncertainty-Guided Refinement for 2D-to-3D Human Pose Estimation Han Li, Bowen Shi, Wenrui Dai, Hongwei Zheng, Botao Wang, Yu Sun, Min Guo, Chenglin Li, Junni Zou, Hongkai Xiong

CVPR 2023 TRACE: 5d Temporal Regression of Avatars with Dynamic Cameras in 3D Environments Yu Sun, Qian Bao, Wu Liu, Tao Mei, Michael J. Black

AISTATS 2023 Uncertainty-Aware Unsupervised Video Hashing Yucheng Wang, Mingyuan Zhou, Yu Sun, Xiaoning Qian

ICCV 2023 Unleashing the Power of Gradient Signal-to-Noise Ratio for Zero-Shot NAS Zihao Sun, Yu Sun, Longxing Yang, Shun Lu, Jilin Mei, Wenxiao Zhao, Yu Hu

ECCV 2022 Learning Cross-Video Neural Representations for High-Quality Frame Interpolation Wentao Shangguan, Yu Sun, Weijie Gan, Ulugbek S. Kamilov

CVPR 2022 Putting People in Their Place: Monocular Regression of 3D People in Depth Yu Sun, Wu Liu, Qian Bao, Yili Fu, Tao Mei, Michael J. Black

IJCAI 2022 Simple and Effective Relation-Based Embedding Propagation for Knowledge Representation Learning Huijuan Wang, Siming Dai, Weiyue Su, Hui Zhong, Zeyang Fang, Zhengjie Huang, Shikun Feng, Zeyu Chen, Yu Sun, Dianhai Yu

NeurIPS 2022 Test-Time Training with Masked Autoencoders Yossi Gandelsman, Yu Sun, Xinlei Chen, Alexei Efros

ECML-PKDD 2022 Trigger Detection for the sPHENIX Experiment via Bipartite Graph Networks with Set Transformer Tingting Xuan, Giorgian Borca-Tasciuc, Yimin Zhu, Yu Sun, Cameron Dean, Zhaozhong Shi, Dantong Yu

ICLR 2021 Async-RED: A Provably Convergent Asynchronous Block Parallel Stochastic Method Using Deep Denoising Priors Yu Sun, Jiaming Liu, Yiran Sun, Brendt Wohlberg, Ulugbek Kamilov

AAAI 2021 ERNIE-ViL: Knowledge Enhanced Vision-Language Representations Through Scene Graphs Fei Yu, Jiji Tang, Weichong Yin, Yu Sun, Hao Tian, Hua Wu, Haifeng Wang

ICCVW 2021 Joint Reconstruction and Calibration Using Regularization by Denoising with Application to Computed Tomography Mingyang Xie, Jiaming Liu, Yu Sun, Weijie Gan, Brendt Wohlberg, Ulugbek S. Kamilov

IJCAI 2021 Masked Label Prediction: Unified Message Passing Model for Semi-Supervised Classification Yunsheng Shi, Zhengjie Huang, Shikun Feng, Hui Zhong, Wenjing Wang, Yu Sun

ICCV 2021 Monocular, One-Stage, Regression of Multiple 3D People Yu Sun, Qian Bao, Wu Liu, Yili Fu, Michael J. Black, Tao Mei

ICLR 2021 Self-Supervised Policy Adaptation During Deployment Nicklas Hansen, Rishabh Jangir, Yu Sun, Guillem Alenyà, Pieter Abbeel, Alexei A Efros, Lerrel Pinto, Xiaolong Wang

AAAI 2020 ERNIE 2.0: A Continual Pre-Training Framework for Language Understanding Yu Sun, Shuohuan Wang, Yu-Kun Li, Shikun Feng, Hao Tian, Hua Wu, Haifeng Wang

IJCAI 2020 ERNIE-GEN: An Enhanced Multi-Flow Pre-Training and Fine-Tuning Framework for Natural Language Generation Dongling Xiao, Han Zhang, Yu-Kun Li, Yu Sun, Hao Tian, Hua Wu, Haifeng Wang

AAAI 2020 MALA: Cross-Domain Dialogue Generation with Action Learning Xinting Huang, Jianzhong Qi, Yu Sun, Rui Zhang

ICML 2020 Test-Time Training with Self-Supervision for Generalization Under Distribution Shifts Yu Sun, Xiaolong Wang, Zhuang Liu, John Miller, Alexei Efros, Moritz Hardt

ECCVW 2020 VisDrone-DET2020: The Vision Meets Drone Object Detection in Image Challenge Results Dawei Du, Longyin Wen, Pengfei Zhu, Heng Fan, Qinghua Hu, Haibin Ling, Mubarak Shah, Junwen Pan, Apostolos Axenopoulos, Arne Schumann, Athanasios Psaltis, Ayush Jain, Bin Dong, Changlin Li, Chen Chen, Chengzhen Duan, Chongyang Zhang, Daniel Stadler, Dheeraj Reddy Pailla, Dong Yin, Faizan Khan, Fanman Meng, Guangyu Gao, Guosheng Zhang, Hansheng Chen, Hao Zhou, Haonian Xie, Heqian Qiu, Hongliang Li, Ioannis Athanasiadis, Jincai Cui, Jingkai Zhou, Jong Hwan Ko, Joo Chan Lee, Jun Yu, Jungyeop Yoo, Lars Wilko Sommer, Lu Xiong, Michael Schleiss, Ming-Hsuan Yang, Mingyu Liu, Minjian Zhang, Murari Mandal, Petros Daras, Pratik Narang, Qiong Liu, Qiu Shi, Qizhang Lin, Rohit Ramaprasad, Sai Wang, Sarvesh Mehta, Shuai Li, Shuqin Huang, Sungtae Moon, Taijin Zhao, Ting Sun, Wei Guo, Wei Tian, Weida Qin, Weiping Yu, Wenxiang Lin, Xi Zhao, Xiaogang Jia, Xin He, Xingjie Zhao, Xuanxin Liu, Yan Ding, Yan Luo, Yang Xiao, Yi Wang, Yingjie Liu, Yongwoo Kim, Yu Sun, Yuehan Yao, Yuyao Huang, Zehui Gong, Zhenyu Xu, Zhipeng Luo, Zhiguo Cao, Zhiwei Wei, Zhongjie Fan, Zichen Song, Ziming Liu

NeurIPS 2019 Block Coordinate Regularization by Denoising Yu Sun, Jiaming Liu, Ulugbek Kamilov

ICML 2019 Doubly Robust Joint Learning for Recommendation on Data Missing Not at Random Xiaojie Wang, Rui Zhang, Yu Sun, Jianzhong Qi

ICCVW 2019 Online Regularization by Denoising with Applications to Phase Retrieval Zihui Wu, Yu Sun, Jiaming Liu, Ulugbek Kamilov

IJCAI 2019 RLTM: An Efficient Neural IR Framework for Long Documents Chen Zheng, Yu Sun, Shengxian Wan, Dianhai Yu

NeurIPS 2018 KDGAN: Knowledge Distillation with Generative Adversarial Networks Xiaojie Wang, Rui Zhang, Yu Sun, Jianzhong Qi

IJCAI 2017 App Download Forecasting: An Evolutionary Hierarchical Competition Approach Yingzi Wang, Nicholas Jing Yuan, Yu Sun, Chuan Qin, Xing Xie

ICML 2017 On Calibration of Modern Neural Networks Chuan Guo, Geoff Pleiss, Yu Sun, Kilian Q. Weinberger

ECCV 2016 Deep Networks with Stochastic Depth Gao Huang, Yu Sun, Zhuang Liu, Daniel Sedra, Kilian Q. Weinberger

AISTATS 2016 Private Causal Inference Matt J. Kusner, Yu Sun, Karthik Sridharan, Kilian Q. Weinberger

NeurIPS 2016 Supervised Word Mover's Distance Gao Huang, Chuan Guo, Matt J Kusner, Yu Sun, Fei Sha, Kilian Q. Weinberger

ICML 2015 From Word Embeddings to Document Distances Matt Kusner, Yu Sun, Nicholas Kolkin, Kilian Weinberger

CVPRW 2009 Automatic Symmetry-Integrated Brain Injury Detection in MRI Sequences Yu Sun, Bir Bhanu, Shiv Bhanu

CVPR 2009 Symmetry Integrated Region-Based Image Segmentation Yu Sun, Bir Bhanu

CVPR 2007 Imaging the Finger Force Direction Yu Sun, John M. Hollerbach, Stephen A. Mascaro

IJCAI 2005 The Ontology Revision Yu Sun, Yuefei Sui