Zhou, Yi

143 publications

IJCAI 2025 A Novel Local Search Algorithm for the Vertex Bisection Minimization Problem Rui Sun, Xinyu Wang, Yiyuan Wang, Jiangnan Li, Yi Zhou

IJCAI 2025 A Reduction-Based Algorithm for the Clique Interdiction Problem Chenghao Zhu, Yi Zhou, Haoyu Jiang

TMLR 2025 Adaptive Gradient Normalization and Independent Sampling for (Stochastic) Generalized-Smooth Optimization Yufeng Yang, Erin E. Tripp, Yifan Sun, Shaofeng Zou, Yi Zhou

ICCV 2025 Augmented Mass-Spring Model for Real-Time Dense Hair Simulation J. H. Alejandro Amador, Yi Zhou, Xin Sun, Zhixin Shu, Chengan He, Soren Pirk, Dominik L. Michels

TMLR 2025 Convergence Guarantees for RMSProp and Adam in Generalized-Smooth Non-Convex Optimization with Affine Noise Variance Qi Zhang, Yi Zhou, Shaofeng Zou

CVPR 2025 Convex Relaxation for Robust Vanishing Point Estimation in Manhattan World Bangyan Liao, Zhenjun Zhao, Haoang Li, Yi Zhou, Yingping Zeng, Hao Li, Peidong Liu

ICLR 2025 CryoFM: A Flow-Based Foundation Model for Cryo-EM Densities Yi Zhou, Yilai Li, Jing Yuan, Quanquan Gu

ICCV 2025 DMesh++: An Efficient Differentiable Mesh for Complex Shapes Sanghyun Son, Matheus Gadelha, Yang Zhou, Matthew Fisher, Zexiang Xu, Yi-Ling Qiao, Ming C. Lin, Yi Zhou

MLJ 2025 Deep Learning of PDE Correction and Mesh Adaption Without Automatic Differentiation Shaocong Ma, James Diffenderfer, Bhavya Kailkhura, Yi Zhou

NeurIPS 2025 E-MoFlow: Learning Egomotion and Optical Flow from Event Data via Implicit Regularization Wenpu Li, Bangyan Liao, Yi Zhou, Qi Xu, Pian Wan, Peidong Liu

ICCV 2025 FaceLift: Learning Generalizable Single Image 3D Face Reconstruction from Synthetic Heads Weijie Lyu, Yi Zhou, Ming-Hsuan Yang, Zhixin Shu

ICCV 2025 HUMOTO: A 4D Dataset of Mocap Human Object Interactions Jiaxin Lu, Chun-Hao Paul Huang, Uttaran Bhattacharya, Qixing Huang, Yi Zhou

TMLR 2025 Joint Diffusion for Universal Hand-Object Grasp Generation Jinkun Cao, Jingyuan Liu, Kris Kitani, Yi Zhou

IJCAI 2025 Large-Scale Trade-Off Curve Computation for Incentive Allocation with Cardinality and Matroid Constraints Yu Cong, Chao Xu, Yi Zhou

ICLR 2025 MAP: Multi-Human-Value Alignment Palette Xinran Wang, Qi Le, Ammar Ahmed, Enmao Diao, Yi Zhou, Nathalie Baracaldo, Jie Ding, Ali Anwar

AAAI 2025 Make Domain Shift a Catastrophic Forgetting Alleviator in Class-Incremental Learning Wei Chen, Yi Zhou

TMLR 2025 On Learning Representations for Tabular Data Distillation Inwon Kang, Parikshit Ram, Yi Zhou, Horst Samulowitz, Oshani Seneviratne

ICLR 2025 Perm: A Parametric Representation for Multi-Style 3D Hair Modeling Chengan He, Xin Sun, Zhixin Shu, Fujun Luan, Soren Pirk, Jorge Alejandro Amador Herrera, Dominik Michels, Tuanfeng Yang Wang, Meng Zhang, Holly Rushmeier, Yi Zhou

TMLR 2025 Rectified Robust Policy Optimization for Model-Uncertain Constrained Reinforcement Learning Without Strong Duality Shaocong Ma, Ziyi Chen, Yi Zhou, Heng Huang

ICLR 2025 Revisiting Large-Scale Non-Convex Distributionally Robust Optimization Qi Zhang, Yi Zhou, Simon Khan, Ashley Prater-Bennette, Lixin Shen, Shaofeng Zou

ICCV 2025 SegmentDreamer: Towards High-Fidelity Text-to-3D Synthesis with Segmented Consistency Trajectory Distillation Jiahao Zhu, Zixuan Chen, Guangcong Wang, Xiaohua Xie, Yi Zhou

CVPR 2025 Shape My Moves: Text-Driven Shape-Aware Synthesis of Human Motions Ting-Hsuan Liao, Yi Zhou, Yu Shen, Chun-Hao Paul Huang, Saayan Mitra, Jia-Bin Huang, Uttaran Bhattacharya

ICCV 2025 Video Motion Graphs Haiyang Liu, Zhan Xu, Fa-Ting Hong, Hsin-Ping Huang, Yi Zhou, Yang Zhou

AAAI 2024 A Fast Exact Solver with Theoretical Analysis for the Maximum Edge-Weighted Clique Problem Lu Liu, Mingyu Xiao, Yi Zhou

NeurIPSW 2024 A Stochastic Algorithm for Sinkhorn Distance-Regularized Distributionally Robust Optimization Yufeng Yang, Yi Zhou, Zhaosong Lu

UAI 2024 Approximate Kernel Density Estimation Under Metric-Based Local Differential Privacy Yi Zhou, Yanhao Wang, Long Teng, Qiang Huang, Cen Chen

NeurIPS 2024 BLEnD: A Benchmark for LLMs on Everyday Knowledge in Diverse Cultures and Languages Junho Myung, Nayeon Lee, Yi Zhou, Jiho Jin, Rifki Afina Putri, Dimosthenis Antypas, Hsuvas Borkakoty, Eunsu Kim, Carla Perez-Almendros, Abinew Ali Ayele, Víctor Gutiérrez-Basulto, Yazmín Ibáñez-García, Hwaran Lee, Shamsuddeen Hassan Muhammad, Kiwoong Park, Anar Sabuhi Rzayev, Nina White, Seid Muhie Yimam, Mohammad Taher Pilehvar, Nedjma Ousidhoum, Jose Camacho-Collados, Alice Oh

ECCV 2024 BeNeRF:Neural Radiance Fields from a Single Blurry Image and Event Stream Wenpu Li, Pian Wan, Peng Wang, Jinghang Li, Yi Zhou, Peidong Liu

CVPR 2024 Carve3D: Improving Multi-View Reconstruction Consistency for Diffusion Models with RL Finetuning Desai Xie, Jiahao Li, Hao Tan, Xin Sun, Zhixin Shu, Yi Zhou, Sai Bi, Sören Pirk, Arie E. Kaufman

NeurIPS 2024 DMesh: A Differentiable Mesh Representation Sanghyun Son, Matheus Gadelha, Yang Zhou, Zexiang Xu, Ming C. Lin, Yi Zhou

AAAI 2024 Effective Data Distillation for Tabular Datasets (Student Abstract) Inwon Kang, Parikshit Ram, Yi Zhou, Horst Samulowitz, Oshani Seneviratne

AISTATS 2024 Enhancing In-Context Learning via Linear Probe Calibration Momin Abbas, Yi Zhou, Parikshit Ram, Nathalie Baracaldo, Horst Samulowitz, Theodoros Salonidis, Tianyi Chen

ECCV 2024 Event-Aided Time-to-Collision Estimation for Autonomous Driving Jinghang Li, Bangyan Liao, Xiuyuan Lu, Peidong Liu, Shaojie Shen, Yi Zhou

MLJ 2024 Finite-Time Error Bounds for Greedy-GQ Yue Wang, Yi Zhou, Shaofeng Zou

CVPR 2024 HIMap: HybrId Representation Learning for End-to-End Vectorized HD mAP Construction Yi Zhou, Hui Zhang, Jiaqian Yu, Yifan Yang, Sangil Jung, Seung-In Park, ByungIn Yoo

NeurIPS 2024 Is Your HD mAP Constructor Reliable Under Sensor Corruptions? Xiaoshuai Hao, Mengchuan Wei, Yifan Yang, Haimei Zhao, Hui Zhang, Yi Zhou, Qiang Wang, Weiming Li, Lingdong Kong, Jing Zhang

NeurIPS 2024 LRM-Zero: Training Large Reconstruction Models with Synthesized Data Desai Xie, Sai Bi, Zhixin Shu, Kai Zhang, Zexiang Xu, Yi Zhou, Sören Pirk, Arie Kaufman, Xin Sun, Hao Tan

AAAI 2024 Large-Scale Non-Convex Stochastic Constrained Distributionally Robust Optimization Qi Zhang, Yi Zhou, Ashley Prater-Bennette, Lixin Shen, Shaofeng Zou

ICLR 2024 Memory-Assisted Sub-Prototype Mining for Universal Domain Adaptation Yuxiang Lai, Yi Zhou, Xinghong Liu, Tao Zhou

ECCV 2024 Motion and Structure from Event-Based Normal Flow Zhongyang Ren, Bangyan Liao, Delei Kong, Jinghang Li, Peidong Liu, Laurent Kneip, Guillermo Gallego, Yi Zhou

ICML 2024 Non-Asymptotic Analysis for Single-Loop (Natural) Actor-Critic with Compatible Function Approximation Yudan Wang, Yue Wang, Yi Zhou, Shaofeng Zou

ICLR 2024 On the Hardness of Constrained Cooperative Multi-Agent Reinforcement Learning Ziyi Chen, Yi Zhou, Heng Huang

ICLR 2024 On the Hardness of Online Nonconvex Optimization with Single Oracle Feedback Ziwei Guan, Yi Zhou, Yingbin Liang

TMLR 2023 A Cubic Regularization Approach for Finding Local Minimax Points in Nonconvex Minimax Optimization Ziyi Chen, Zhengyang Hu, Qunwei Li, Zhe Wang, Yi Zhou

IJCAI 2023 A Fast Maximum K-Plex Algorithm Parameterized by the Degeneracy Gap Zhengren Wang, Yi Zhou, Chunyu Luo, Mingyu Xiao

MLJ 2023 An Accelerated Proximal Algorithm for Regularized Nonconvex and Nonsmooth Bi-Level Optimization Ziyi Chen, Bhavya Kailkhura, Yi Zhou

TMLR 2023 Assisted Learning for Organizations with Limited Imbalanced Data Cheng Chen, Jiaying Zhou, Jie Ding, Yi Zhou

ICCV 2023 Boosting Multi-Modal Model Performance with Adaptive Gradient Modulation Hong Li, Xingyu Li, Pengbo Hu, Yinuo Lei, Chunxiao Li, Yi Zhou

AAAI 2023 Cross-View Geo-Localization via Learning Disentangled Geometric Layout Correspondence Xiaohan Zhang, Xingyu Li, Waqas Sultani, Yi Zhou, Safwan Wshah

NeurIPSW 2023 CryoSTAR: Cryo-EM Heterogeneous Reconstruction of Atomic Models with Structural Regularization Yi Zhou, Yilai Li, Jing Yuan, Fei Ye, Quanquan Gu

JMLR 2023 Decentralized Robust V-Learning for Solving Markov Games with Model Uncertainty Shaocong Ma, Ziyi Chen, Shaofeng Zou, Yi Zhou

NeurIPSW 2023 Forcing Generative Models to Degenerate Ones: The Power of Data Poisoning Attacks Shuli Jiang, Swanand Kadhe, Yi Zhou, Ling Cai, Nathalie Baracaldo

ICML 2023 Generalized-Smooth Nonconvex Optimization Is as Efficient as Smooth Nonconvex Optimization Ziyi Chen, Yi Zhou, Yingbin Liang, Zhaosong Lu

ICML 2023 LESS-VFL: Communication-Efficient Feature Selection for Vertical Federated Learning Timothy Castiglia, Yi Zhou, Shiqiang Wang, Swanand Kadhe, Nathalie Baracaldo, Stacy Patterson

NeurIPSW 2023 Large-Scale Non-Convex Stochastic Constrained Distributionally Robust Optimization Qi Zhang, Yi Zhou, Ashley Prater-Bennette, Lixin Shen, Shaofeng Zou

CVPR 2023 Normal-Guided Garment UV Prediction for Human Re-Texturing Yasamin Jafarian, Tuanfeng Y. Wang, Duygu Ceylan, Jimei Yang, Nathan Carr, Yi Zhou, Hyun Soo Park

JMLR 2023 On Unbalanced Optimal Transport: Gradient Methods, Sparsity and Approximation Error Quang Minh Nguyen, Hoang H. Nguyen, Yi Zhou, Lam M. Nguyen

COLT 2023 Online Nonconvex Optimization with Limited Instantaneous Oracle Feedback Ziwei Guan, Yi Zhou, Yingbin Liang

NeurIPSW 2023 Sample-Efficient Antibody Design Through Protein Language Model for Risk-Aware Batch Bayesian Optimization Yanzheng Wang, Boyue Wang, Tianyu Shi, Jie Fu, Yi Zhou, Zhizhuo Zhang

ICLR 2023 Single-Shot General Hyper-Parameter Optimization for Federated Learning Yi Zhou, Parikshit Ram, Theodoros Salonidis, Nathalie Baracaldo, Horst Samulowitz, Heiko Ludwig

ICML 2023 Structure-Informed Language Models Are Protein Designers Zaixiang Zheng, Yifan Deng, Dongyu Xue, Yi Zhou, Fei Ye, Quanquan Gu

ICMLW 2023 Visualizing and Analyzing the Topology of Neuron Activations in Deep Adversarial Training Youjia Zhou, Yi Zhou, Jie Ding, Bei Wang

ECCV 2022 A Repulsive Force Unit for Garment Collision Handling in Neural Networks Qingyang Tan, Yi Zhou, Tuanfeng Wang, Duygu Ceylan, Xin Sun, Dinesh Manocha

NeurIPSW 2022 Benchmarking the Effect of Poisoning Defenses on the Security and Bias of the Final Model Nathalie Baracaldo, Kevin Eykholt, Farhan Ahmed, Yi Zhou, Shriti Priya, Taesung Lee, Swanand Kadhe, Yusong Tan, Sridevi Polavaram, Sterling Suggs, Yuyang Gao, David Slater

IJCAI 2022 DDDM: A Brain-Inspired Framework for Robust Classification Xiyuan Chen, Xingyu Li, Yi Zhou, Tianming Yang

AAAI 2022 DarkVisionNet: Low-Light Imaging via RGB-NIR Fusion with Deep Inconsistency Prior Shuangping Jin, Bingbing Yu, Minhao Jing, Yi Zhou, Jiajun Liang, Renhe Ji

UAI 2022 Data Sampling Affects the Complexity of Online SGD over Dependent Data Shaocong Ma, Ziyi Chen, Yi Zhou, Kaiyi Ji, Yingbin Liang

CVPR 2022 Delving into the Estimation Shift of Batch Normalization in a Network Lei Huang, Yi Zhou, Tian Wang, Jie Luo, Xianglong Liu

NeurIPS 2022 Finding Correlated Equilibrium of Constrained Markov Game: A Primal-Dual Approach Ziyi Chen, Shaocong Ma, Yi Zhou

ECCV 2022 Learning Visibility for Robust Dense Human Body Estimation Chun-Han Yao, Jimei Yang, Duygu Ceylan, Yi Zhou, Yang Zhou, Ming-Hsuan Yang

TMLR 2022 Multi-Agent Off-Policy TDC with Near-Optimal Sample and Communication Complexities Ziyi Chen, Yi Zhou, Rong-Rong Chen

NeurIPS 2022 NeMF: Neural Motion Fields for Kinematic Animation Chengan He, Jun Saito, James Zachary, Holly Rushmeier, Yi Zhou

NeurIPS 2022 Regularized Molecular Conformation Fields Lihao Wang, Yi Zhou, Yiqun Wang, Xiaoqing Zheng, Xuanjing Huang, Hao Zhou

IJCAI 2022 SHAPE: An Unified Approach to Evaluate the Contribution and Cooperation of Individual Modalities Pengbo Hu, Xingyu Li, Yi Zhou

ICLR 2022 Sample Efficient Stochastic Policy Extragradient Algorithm for Zero-Sum Markov Game Ziyi Chen, Shaocong Ma, Yi Zhou

ICML 2022 Sample and Communication-Efficient Decentralized Actor-Critic Algorithms with Finite-Time Analysis Ziyi Chen, Yi Zhou, Rong-Rong Chen, Shaofeng Zou

CVPR 2022 Slot-VPS: Object-Centric Representation Learning for Video Panoptic Segmentation Yi Zhou, Hui Zhang, Hana Lee, Shuyang Sun, Pingjun Li, Yangguang Zhu, ByungIn Yoo, Xiaojuan Qi, Jae-Joon Han

AAAI 2022 UNISON: Unpaired Cross-Lingual Image Captioning Jiahui Gao, Yi Zhou, Philip L. H. Yu, Shafiq R. Joty, Jiuxiang Gu

MLJ 2022 Understanding Generalization Error of SGD in Nonconvex Optimization Yi Zhou, Yingbin Liang, Huishuai Zhang

NeurIPS 2022 Zero-Shot 3D Drug Design by Sketching and Generating Siyu Long, Yi Zhou, Xinyu Dai, Hao Zhou

CVPR 2021 A Deep Emulator for Secondary Motion of 3D Characters Mianlun Zheng, Yi Zhou, Duygu Ceylan, Jernej Barbic

ICCV 2021 CCT-Net: Category-Invariant Cross-Domain Transfer for Medical Single-to-Multiple Disease Diagnosis Yi Zhou, Lei Huang, Tao Zhou, Ling Shao

AAAI 2021 Curse or Redemption? How Data Heterogeneity Affects the Robustness of Federated Learning Syed Zawad, Ahsan Ali, Pin-Yu Chen, Ali Anwar, Yi Zhou, Nathalie Baracaldo, Yuan Tian, Feng Yan

AAAI 2021 Enhancing Balanced Graph Edge Partition with Effective Local Search Zhenyu Guo, Mingyu Xiao, Yi Zhou, Dongxiang Zhang, Kian-Lee Tan

CVPR 2021 Exploiting Semantic Embedding and Visual Feature for Facial Action Unit Detection Huiyuan Yang, Lijun Yin, Yi Zhou, Jiuxiang Gu

ICLR 2021 Greedy-GQ with Variance Reduction: Finite-Time Analysis and Improved Complexity Shaocong Ma, Ziyi Chen, Yi Zhou, Shaofeng Zou

CVPR 2021 Group Whitening: Balancing Learning Efficiency and Representational Capacity Lei Huang, Yi Zhou, Li Liu, Fan Zhu, Ling Shao

AAAI 2021 Group-Wise Semantic Mining for Weakly Supervised Semantic Segmentation Xueyi Li, Tianfei Zhou, Jianwu Li, Yi Zhou, Zhaoxiang Zhang

AAAI 2021 Improving Maximum K-Plex Solver via Second-Order Reduction and Graph Color Bounding Yi Zhou, Shan Hu, Mingyu Xiao, Zhang-Hua Fu

AAAI 2021 Many-to-One Distribution Learning and K-Nearest Neighbor Smoothing for Thoracic Disease Identification Yi Zhou, Lei Huang, Tianfei Zhou, Ling Shao

NeurIPS 2021 Non-Asymptotic Analysis for Two Time-Scale TDC with General Smooth Function Approximation Yue Wang, Shaofeng Zou, Yi Zhou

ICLR 2021 Proximal Gradient Descent-Ascent: Variable Convergence Under KŁ Geometry Ziyi Chen, Yi Zhou, Tengyu Xu, Yingbin Liang

ICCV 2021 Specificity-Preserving RGB-D Saliency Detection Tao Zhou, Huazhu Fu, Geng Chen, Yi Zhou, Deng-Ping Fan, Ling Shao

ICCV 2021 Stochastic Scene-Aware Motion Prediction Mohamed Hassan, Duygu Ceylan, Ruben Villegas, Jun Saito, Jimei Yang, Yi Zhou, Michael J. Black

ICCV 2021 Visual-Textual Attentive Semantic Consistency for Medical Report Generation Yi Zhou, Lei Huang, Tao Zhou, Huazhu Fu, Ling Shao

NeurIPS 2020 A Statistical Mechanics Framework for Task-Agnostic Sample Design in Machine Learning Bhavya Kailkhura, Jayaraman Thiagarajan, Qunwei Li, Jize Zhang, Yi Zhou, Timo Bremer

AAAI 2020 Embedding High-Level Knowledge into DQNs to Learn Faster and More Safely Zihang Gao, Fangzhen Lin, Yi Zhou, Hao Zhang, Kaishun Wu, Haodi Zhang

AAAI 2020 Enumerating Maximal K-Plexes with Worst-Case Time Guarantee Yi Zhou, Jingwei Xu, Zhenyu Guo, Mingyu Xiao, Yan Jin

NeurIPS 2020 Fully Convolutional Mesh Autoencoder Using Efficient Spatially Varying Kernels Yi Zhou, Chenglei Wu, Zimo Li, Chen Cao, Yuting Ye, Jason Saragih, Hao Li, Yaser Sheikh

ICML 2020 History-Gradient Aided Batch Size Adaptation for Variance Reduced Algorithms Kaiyi Ji, Zhe Wang, Bowen Weng, Yi Zhou, Wei Zhang, Yingbin Liang

AAAI 2020 Motion-Attentive Transition for Zero-Shot Video Object Segmentation Tianfei Zhou, Shunzhou Wang, Yi Zhou, Yazhou Yao, Jianwu Li, Ling Shao

IJCAI 2020 Proximal Gradient Algorithm with Momentum and Flexible Parameter Restart for Nonconvex Optimization Yi Zhou, Zhe Wang, Kaiyi Ji, Yingbin Liang, Vahid Tarokh

ICLR 2020 Reanalysis of Variance Reduced Temporal Difference Learning Tengyu Xu, Zhe Wang, Yi Zhou, Yingbin Liang

ICML 2020 Understanding the Impact of Model Incoherence on Convergence of Incremental SGD with Random Reshuffle Shaocong Ma, Yi Zhou

NeurIPS 2020 Variance-Reduced Off-Policy TDC Learning: Non-Asymptotic Convergence Analysis Shaocong Ma, Yi Zhou, Shaofeng Zou

NeurIPS 2019 A Unified Variance-Reduced Accelerated Gradient Method for Convex Optimization Guanghui Lan, Zhize Li, Yi Zhou

UAI 2019 Cubic Regularization with Momentum for Nonconvex Optimization Zhe Wang, Yi Zhou, Yingbin Liang, Guanghui Lan

IJCAI 2019 How Well Do Machines Perform on IQ Tests: A Comparison Study on a Large-Scale Dataset Yusen Liu, Fangyuan He, Haodi Zhang, Guozheng Rao, Zhiyong Feng, Yi Zhou

ICML 2019 Improved Zeroth-Order Variance Reduced Algorithms and Analysis for Nonconvex Optimization Kaiyi Ji, Zhe Wang, Yi Zhou, Yingbin Liang

ICLR 2019 SGD Converges to Global Minimum in Deep Learning via Star-Convex Path Yi Zhou, Junjie Yang, Huishuai Zhang, Yingbin Liang, Vahid Tarokh

NeurIPS 2019 SpiderBoost and Momentum: Faster Variance Reduction Algorithms Zhe Wang, Kaiyi Ji, Yi Zhou, Yingbin Liang, Vahid Tarokh

AISTATS 2019 Stochastic Variance-Reduced Cubic Regularization for Nonconvex Optimization Zhe Wang, Yi Zhou, Yingbin Liang, Guanghui Lan

ICLR 2019 Toward Understanding the Impact of Staleness in Distributed Machine Learning Wei Dai, Yi Zhou, Nanqing Dong, Hao Zhang, Eric Xing

AAAI 2018 Attention-Based Belief or Disbelief Feature Extraction for Dependency Parsing Haoyuan Peng, Lu Liu, Yi Zhou, Junying Zhou, Xiaoqing Zheng

ICLR 2018 Auto-Conditioned Recurrent Networks for Extended Complex Human Motion Synthesis Yi Zhou, Zimo Li, Shuangjiu Xiao, Chong He, Zeng Huang, Hao Li

NeurIPS 2018 Convergence of Cubic Regularization for Nonconvex Optimization Under KL Property Yi Zhou, Zhe Wang, Yingbin Liang

ICLR 2018 Critical Points of Linear Neural Networks: Analytical Forms and Landscape Properties Yi Zhou, Yingbin Liang

JMLR 2018 Distributed Proximal Gradient Algorithm for Partially Asynchronous Computer Clusters Yi Zhou, Yingbin Liang, Yaoliang Yu, Wei Dai, Eric P. Xing

ECCV 2018 HairNet: Single-View Hair Reconstruction Using Convolutional Neural Networks Yi Zhou, Liwen Hu, Jun Xing, Weikai Chen, Han-Wei Kung, Xin Tong, Hao Li

AAAI 2018 RNN-Based Sequence-Preserved Attention for Dependency Parsing Yi Zhou, Junying Zhou, Lu Liu, Jiangtao Feng, Haoyuan Peng, Xiaoqing Zheng

ECCV 2018 Semi-Dense 3D Reconstruction with a Stereo Event Camera Yi Zhou, Guillermo Gallego, Henri Rebecq, Laurent Kneip, Hongdong Li, Davide Scaramuzza

WACV 2018 Vehicle Re-Identification by Adversarial Bi-Directional LSTM Network Yi Zhou, Ling Shao

ICML 2017 Conditional Accelerated Lazy Stochastic Gradient Descent Guanghui Lan, Sebastian Pokutta, Yi Zhou, Daniel Zink

ICML 2017 Convergence Analysis of Proximal Gradient with Momentum for Nonconvex Optimization Qunwei Li, Yi Zhou, Yingbin Liang, Pramod K. Varshney

IJCAI 2017 Integrating Answer Set Programming with Semantic Dictionaries for Robot Task Planning Dongcai Lu, Yi Zhou, Feng Wu, Zhao Zhang, Xiaoping Chen

ICML 2017 Learning Latent Space Models with Angular Constraints Pengtao Xie, Yuntian Deng, Yi Zhou, Abhimanu Kumar, Yaoliang Yu, James Zou, Eric P. Xing

ICCV 2017 Realistic Dynamic Facial Textures from a Single Image Using GANs Kyle Olszewski, Zimo Li, Chao Yang, Yi Zhou, Ronald Yu, Zeng Huang, Sitao Xiang, Shunsuke Saito, Pushmeet Kohli, Hao Li

ECCV 2016 DAVE: A Unified Framework for Fast Vehicle Detection and Annotation Yi Zhou, Li Liu, Ling Shao, Matt Mellor

UAI 2016 Lighter-Communication Distributed Machine Learning via Sufficient Factor Broadcasting Pengtao Xie, Jin Kyu Kim, Yi Zhou, Qirong Ho, Abhimanu Kumar, Yaoliang Yu, Eric P. Xing

AISTATS 2016 On Convergence of Model Parallel Proximal Gradient Algorithm for Stale Synchronous Parallel System Yi Zhou, Yaoliang Yu, Wei Dai, Yingbin Liang, Eric P. Xing

NeurIPS 2015 Analysis of Robust PCA via Local Incoherence Huishuai Zhang, Yi Zhou, Yingbin Liang

IJCAI 2015 First-Order Disjunctive Logic Programming vs Normal Logic Programming Yi Zhou

JAIR 2014 Knowledge Forgetting in Answer Set Programming Yisong Wang, Yan Zhang, Yi Zhou, Mingyi Zhang

AAAI 2012 Ordered Completion for Logic Programs with Aggregates Vernon Asuncion, Yan Zhang, Yi Zhou

JAIR 2011 A Logical Study of Partial Entailment Yi Zhou, Yan Zhang

AAAI 2011 Bounded Forgetting Yi Zhou, Yan Zhang

AAAI 2011 Progression Semantics for Disjunctive Logic Programs Yi Zhou, Yan Zhang

IJCAI 2011 Translating First-Order Theories into Logic Programs Heng Zhang, Yan Zhang, Mingsheng Ying, Yi Zhou

AAAI 2010 First-Order Indefinability of Answer Set Programs on Finite Structures Yin Chen, Yan Zhang, Yi Zhou

AAAI 2010 Ordered Completion for First-Order Logic Programs on Finite Structures Vernon Asuncion, Fangzhen Lin, Yan Zhang, Yi Zhou

IJCAI 2007 From Answer Set Logic Programming to Circumscription via Logic of GK Fangzhen Lin, Yi Zhou

CVPR 2005 A Bayesian Mixture Model for Multi-View Face Alignment Yi Zhou, Wei Zhang, Xiaoou Tang, Harry Shum

CVPR 2003 Bayesian Tangent Shape Model: Estimating Shape and Pose Parameters via Bayesian Inference Yi Zhou, Lie Gu, HongJiang Zhang