Liu, Bo

126 publications

CVPR 2025 AMO Sampler: Enhancing Text Rendering with Overshooting Xixi Hu, Keyang Xu, Bo Liu, Qiang Liu, Hongliang Fei

AAAI 2025 CustomTTT: Motion and Appearance Customized Video Generation via Test-Time Training Xiuli Bi, Jian Lu, Bo Liu, Xiaodong Cun, Yong Zhang, Weisheng Li, Bin Xiao

NeurIPS 2025 DataSIR: A Benchmark Dataset for Sensitive Information Recognition Fan Mo, Bo Liu, Yuan Fan, Kun Qin, Yizhou Zhao, Jinhe Zhou, Jia Sun, Jinfei Liu, Kui Ren

ICLR 2025 DeepSeek-Prover-V1.5: Harnessing Proof Assistant Feedback for Reinforcement Learning and Monte-Carlo Tree Search Huajian Xin, Z.Z. Ren, Junxiao Song, Zhihong Shao, Wanjia Zhao, Haocheng Wang, Bo Liu, Liyue Zhang, Xuan Lu, Qiushi Du, Wenjun Gao, Haowei Zhang, Qihao Zhu, Dejian Yang, Zhibin Gou, Z.F. Wu, Fuli Luo, Chong Ruan

IJCAI 2025 Denoise-Then-Retrieve: Text-Conditioned Video Denoising for Video Moment Retrieval Weijia Liu, Jiuxin Cao, Bo Miao, Zhiheng Fu, Xuelin Zhu, Jiawei Ge, Bo Liu, Mehwish Nasim, Ajmal Mian

AAAI 2025 Differentiable Information Enhanced Model-Based Reinforcement Learning Xiaoyuan Zhang, Xinyan Cai, Bo Liu, Weidong Huang, Song-Chun Zhu, Siyuan Qi, Yaodong Yang

AAAI 2025 External Reliable Information-Enhanced Multimodal Contrastive Learning for Fake News Detection Biwei Cao, Qihang Wu, Jiuxin Cao, Bo Liu, Jie Gui

AAAI 2025 FEAST-Mamba: FEAture and SpaTial Aware Mamba Network with Bidirectional Orthogonal Fusion for Cross-Modal Point Cloud Segmentation Chade Li, Pengju Zhang, Bo Liu, Hao Wei, Yihong Wu

ICCV 2025 GEMeX: A Large-Scale, Groundable, and Explainable Medical VQA Benchmark for Chest X-Ray Diagnosis Bo Liu, Ke Zou, Li-Ming Zhan, Zexin Lu, Xiaoyu Dong, Yidi Chen, Chengqiang Xie, Jiannong Cao, Xiao-Ming Wu, Huazhu Fu

ICCV 2025 Improving Rectified Flow with Boundary Conditions Xixi Hu, Runlong Liao, Keyang Xu, Bo Liu, Yeqing Li, Eugene Ie, Hongliang Fei, Qiang Liu

ICCV 2025 Layer-Wise Vision Injection with Disentangled Attention for Efficient LVLMs Xuange Zhang, Dengjie Li, Bo Liu, Zenghao Bao, Yao Zhou, Baisong Yang, Zhongying Liu, Yujie Zhong, Tongtong Yuan

ICLRW 2025 Learning Memory Mechanisms for Decision Making Through Demonstration William Yue, Bo Liu, Peter Stone

ICLR 2025 Longhorn: State Space Models Are Amortized Online Learners Bo Liu, Rui Wang, Lemeng Wu, Yihao Feng, Peter Stone, Qiang Liu

AISTATS 2025 Memory-Efficient Optimization with Factorized Hamiltonian Descent Son Nguyen, Lizhang Chen, Bo Liu, Qiang Liu

ICLRW 2025 Natural Language Reinforcement Learning Xidong Feng, Bo Liu, Ziyu Wan, Haotian Fu, Girish A. Koushik, Zhiyuan Hu, Mengyue Yang, Ying Wen, Jun Wang

NeurIPS 2025 Physics-Informed Neural Operator for Pansharpening Xinyang Liu, Junming Hou, Chenxu Wu, Xiaofeng Cong, Zihao Chen, Shangqi Deng, Junling Li, Liang-Jian Deng, Bo Liu

ICML 2025 SKIM: Any-Bit Quantization Pushing the Limits of Post-Training Quantization Runsheng Bai, Bo Liu, Qiang Liu

AAAI 2025 SemiDFL: A Semi-Supervised Paradigm for Decentralized Federated Learning Xinyang Liu, Pengchao Han, Xuan Li, Bo Liu

CVPR 2025 Towards Universal AI-Generated Image Detection by Variational Information Bottleneck Network Haifeng Zhang, Qinghui He, Xiuli Bi, Weisheng Li, Bo Liu, Bin Xiao

NeurIPS 2024 AdaFlow: Imitation Learning with Variance-Adaptive Flow-Based Policies Xixi Hu, Bo Liu, Xingchao Liu, Qiang Liu

NeurIPSW 2024 Advancing Theorem Proving in LLMs Through Large-Scale Synthetic Data Huajian Xin, Daya Guo, Zhihong Shao, Z.Z. Ren, Qihao Zhu, Bo Liu, Chong Ruan, Wenda Li, Xiaodan Liang

IJCAI 2024 All in One: Multi-Task Prompting for Graph Neural Networks (Extended Abstract) Xiangguo Sun, Hong Cheng, Jia Li, Bo Liu, Jihong Guan

ICMLW 2024 Asynchronous Local-SGD Training for Language Modeling Bo Liu, Rachita Chhaparia, Arthur Douillard, Satyen Kale, Andrei Alex Rusu, Jiajun Shen, Arthur Szlam, MarcAurelio Ranzato

ICLR 2024 Biased Temporal Convolution Graph Network for Time Series Forecasting with Missing Values Xiaodan Chen, Xiucheng Li, Bo Liu, Zhijun Li

CVPR 2024 Byzantine-Robust Decentralized Federated Learning via Dual-Domain Clustering and Trust Bootstrapping Peng Sun, Xinyang Liu, Zhibo Wang, Bo Liu

NeurIPS 2024 Communication Efficient Distributed Training with Distributed Lion Bo Liu, Lemeng Wu, Lizhang Chen, Kaizhao Liang, Jiaxu Zhu, Chen Liang, Raghuraman Krishnamoorthi, Qiang Liu

CVPR 2024 Depth-Aware Test-Time Training for Zero-Shot Video Object Segmentation Weihuang Liu, Xi Shen, Haolun Li, Xiuli Bi, Bo Liu, Chi-Man Pun, Xiaodong Cun

CVPR 2024 Feature Re-Embedding: Towards Foundation Model-Level Performance in Computational Pathology Wenhao Tang, Fengtao Zhou, Sheng Huang, Xiang Zhu, Yi Zhang, Bo Liu

AAAI 2024 Focus Stacking with High Fidelity and Superior Visual Effects Bo Liu, Bin Hu, Xiuli Bi, Weisheng Li, Bin Xiao

AAAI 2024 From past to Future: Rethinking Eligibility Traces Dhawal Gupta, Scott M. Jordan, Shreyas Chaudhari, Bo Liu, Philip S. Thomas, Bruno Castro da Silva

AAAI 2024 Generalizable Fourier Augmentation for Unsupervised Video Object Segmentation Huihui Song, Tiankang Su, Yuhui Zheng, Kaihua Zhang, Bo Liu, Dong Liu

ICLR 2024 Lion Secretly Solves a Constrained Optimization: As Lyapunov Predicts Lizhang Chen, Bo Liu, Kaizhao Liang, Qiang Liu

NeurIPS 2024 Memory-Efficient LLM Training with Online Subspace Descent Kaizhao Liang, Bo Liu, Lizhang Chen, Qiang Liu

AAAI 2024 MuLTI: Efficient Video-and-Language Understanding with Text-Guided MultiWay-Sampler and Multiple Choice Modeling Jiaqi Xu, Bo Liu, Yunkuo Chen, Mengli Cheng, Xing Shi

CoLLAs 2024 T-DGR: A Trajectory-Based Deep Generative Replay Method for Continual Learning in Decision Making William Yue, Bo Liu, Peter Stone

CVPR 2024 Towards Surveillance Video-and-Language Understanding: New Dataset Baselines and Challenges Tongtong Yuan, Xuange Zhang, Kun Liu, Bo Liu, Chen Chen, Jian Jin, Zhenzhen Jiao

ECCV 2024 UGG: Unified Generative Grasping Jiaxin Lu, Hao Kang, Haoxiang Li, Bo Liu, Yiding Yang, Qixing Huang, Gang Hua

ECCV 2024 Using My Artistic Style? You Must Obtain My Authorization Xiuli Bi, Haowei Liu, Weisheng Li, Bo Liu, Bin Xiao

IJCAI 2024 When Fairness Meets Privacy: Exploring Privacy Threats in Fair Binary Classifiers via Membership Inference Attacks Huan Tian, Guangsheng Zhang, Bo Liu, Tianqing Zhu, Ming Ding, Wanlei Zhou

CVPR 2023 Co-Salient Object Detection with Uncertainty-Aware Group Exchange-Masking Yang Wu, Huihui Song, Bo Liu, Kaihua Zhang, Dong Liu

CVPR 2023 DLBD: A Self-Supervised Direct-Learned Binary Descriptor Bin Xiao, Yang Hu, Bo Liu, Xiuli Bi, Weisheng Li, Xinbo Gao

CVPR 2023 Distilling Cross-Temporal Contexts for Continuous Sign Language Recognition Leming Guo, Wanli Xue, Qing Guo, Bo Liu, Kaihua Zhang, Tiantian Yuan, Shengyong Chen

ICCV 2023 Divide and Conquer: A Two-Step Method for High Quality Face De-Identification with Model Explainability Yunqian Wen, Bo Liu, Jingyi Cao, Rong Xie, Li Song

NeurIPS 2023 FAMO: Fast Adaptive Multitask Optimization Bo Liu, Yihao Feng, Peter Stone, Qiang Liu

ICCV 2023 Flexible Visual Recognition by Evidential Modeling of Confusion and Ignorance Lei Fan, Bo Liu, Haoxiang Li, Ying Wu, Gang Hua

ICCV 2023 Hierarchical Spatio-Temporal Representation Learning for Gait Recognition Lei Wang, Bo Liu, Fangfang Liang, Bincheng Wang

NeurIPS 2023 LIBERO: Benchmarking Knowledge Transfer for Lifelong Robot Learning Bo Liu, Yifeng Zhu, Chongkai Gao, Yihao Feng, Qiang Liu, Yuke Zhu, Peter Stone

NeurIPSW 2023 MCGC: An MLP-Based Supervised Contrastive Learning Framework for Graph Classification Xiao Yue, Bo Liu, Andrew Meng, Guangzhi Qu

AAAI 2023 Metric Residual Network for Sample Efficient Goal-Conditioned Reinforcement Learning Bo Liu, Yihao Feng, Qiang Liu, Peter Stone

CoLLAs 2023 Model-Based Meta Automatic Curriculum Learning Zifan Xu, Yulin Zhang, Shahaf S. Shperberg, Reuth Mirsky, Yuqian Jiang, Bo Liu, Peter Stone

CHIL 2023 Multi-Modal Pre-Training for Medical Vision-Language Understanding and Generation: An Empirical Study with a New Benchmark Li Xu, Bo Liu, Ameer Hamza Khan, Lu Fan, Xiao-Ming Wu

ICCV 2023 Multiple Instance Learning Framework with Masked Hard Instance Mining for Whole Slide Image Classification Wenhao Tang, Sheng Huang, Xiaoxian Zhang, Fengtao Zhou, Yi Zhang, Bo Liu

WACV 2023 Proactive Deepfake Defence via Identity Watermarking Yuan Zhao, Bo Liu, Ming Ding, Baoping Liu, Tianqing Zhu, Xin Yu

NeurIPSW 2023 RF-POLICY: Rectified Flows Are Computation-Adaptive Decision Makers Xixi Hu, Bo Liu, Xingchao Liu, Qiang Liu

ICCV 2023 Scene-Aware Label Graph Learning for Multi-Label Image Classification Xuelin Zhu, Jian Liu, Weijia Liu, Jiawei Ge, Bo Liu, Jiuxin Cao

AAAI 2023 Self-Supervised Image Local Forgery Detection by JPEG Compression Trace Xiuli Bi, Wuqing Yan, Bo Liu, Bin Xiao, Weisheng Li, Xinbo Gao

NeurIPSW 2023 T-DGR: A Trajectory-Based Deep Generative Replay Method for Continual Learning in Decision Making William Yue, Bo Liu, Peter Stone

WACV 2023 TI2Net: Temporal Identity Inconsistency Network for Deepfake Detection Baoping Liu, Bo Liu, Ming Ding, Tianqing Zhu, Xin Yu

MLOSS 2023 TorchOpt: An Efficient Library for Differentiable Optimization Jie Ren, Xidong Feng, Bo Liu, Xuehai Pan, Yao Fu, Luo Mai, Yaodong Yang

ICCV 2023 Unsupervised Video Object Segmentation with Online Adversarial Self-Tuning Tiankang Su, Huihui Song, Dong Liu, Bo Liu, Qingshan Liu

CoLLAs 2022 A Rule-Based Shield: Accumulating Safety Rules from Catastrophic Action Effects Shahaf S. Shperberg, Bo Liu, Alessandro Allievi, Peter Stone

NeurIPS 2022 A Theoretical Understanding of Gradient Bias in Meta-Reinforcement Learning Bo Liu, Xidong Feng, Jie Ren, Luo Mai, Rui Zhu, Haifeng Zhang, Jun Wang, Yaodong Yang

NeurIPS 2022 BOME! Bilevel Optimization Made Easy: A Simple First-Order Approach Bo Liu, Mao Ye, Stephen Wright, Peter Stone, Qiang Liu

NeurIPSW 2022 BOME! Bilevel Optimization Made Easy: A Simple First-Order Approach Mao Ye, Bo Liu, Stephen Wright, Peter Stone, Qiang Liu

IJCAI 2022 Boosting Multi-Label Image Classification with Complementary Parallel Self-Distillation Jiazhi Xu, Sheng Huang, Fengtao Zhou, Luwen Huangfu, Daniel Zeng, Bo Liu

ECCV 2022 Breadcrumbs: Adversarial Class-Balanced Sampling for Long-Tailed Recognition Bo Liu, Haoxiang Li, Hao Kang, Gang Hua, Nuno Vasconcelos

CoLLAs 2022 Continual Learning and Private Unlearning Bo Liu, Qiang Liu, Peter Stone

ECCV 2022 Detecting Generated Images by Real Images Bo Liu, Fan Yang, Xiuli Bi, Bin Xiao, Weisheng Li, Xinbo Gao

NeurIPS 2022 EnvPool: A Highly Parallel Reinforcement Learning Environment Execution Engine Jiayi Weng, Min Lin, Shengyi Huang, Bo Liu, Denys Makoviichuk, Viktor Makoviychuk, Zichen Liu, Yufan Song, Ting Luo, Yukun Jiang, Zhongwen Xu, Shuicheng Yan

ACML 2022 FF-Net: An End-to-End Feature-Fusion Network for Double JPEG Detection and Localization Bo Liu, Ranglei Wu, Xiuli Bi, Bin Xiao

ICMLW 2022 Model-Based Meta Automatic Curriculum Learning Zifan Xu, Yulin Zhang, Shahaf S. Shperberg, Reuth Mirsky, Yuqian Jiang, Bo Liu, Peter Stone

ECCVW 2022 The Tenth Visual Object Tracking VOT2022 Challenge Results Matej Kristan, Ales Leonardis, Jirí Matas, Michael Felsberg, Roman P. Pflugfelder, Joni-Kristian Kämäräinen, Hyung Jin Chang, Martin Danelljan, Luka Cehovin Zajc, Alan Lukezic, Ondrej Drbohlav, Johanna Björklund, Yushan Zhang, Zhongqun Zhang, Song Yan, Wenyan Yang, Dingding Cai, Christoph Mayer, Gustavo Fernández, Kang Ben, Goutam Bhat, Hong Chang, Guangqi Chen, Jiaye Chen, Shengyong Chen, Xilin Chen, Xin Chen, Xiuyi Chen, Yiwei Chen, Yu-Hsi Chen, Zhixing Chen, Yangming Cheng, Angelo Ciaramella, Yutao Cui, Benjamin Dzubur, Mohana Murali Dasari, Qili Deng, Debajyoti Dhar, Shangzhe Di, Emanuel Di Nardo, Daniel K. Du, Matteo Dunnhofer, Heng Fan, Zhenhua Feng, Zhihong Fu, Shang Gao, Rama Krishna Gorthi, Eric Granger, Q. H. Gu, Himanshu Gupta, Jianfeng He, Keji He, Yan Huang, Deepak Jangid, Rongrong Ji, Cheng Jiang, Yingjie Jiang, Felix Järemo Lawin, Ze Kang, Madhu Kiran, Josef Kittler, Simiao Lai, Xiangyuan Lan, Dongwook Lee, Hyunjeong Lee, Seohyung Lee, Hui Li, Ming Li, Wangkai Li, Xi Li, Xianxian Li, Xiao Li, Zhe Li, Liting Lin, Haibin Ling, Bo Liu, Chang Liu, Si Liu, Huchuan Lu, Rafael M. O. Cruz, Bingpeng Ma, Chao Ma, Jie Ma, Yinchao Ma, Niki Martinel, Alireza Memarmoghadam, Christian Micheloni, Payman Moallem, Le Thanh Nguyen-Meidine, Siyang Pan, ChangBeom Park, Danda Pani Paudel, Matthieu Paul, Houwen Peng, Andreas Robinson, Litu Rout, Shiguang Shan, Kristian Simonato, Tianhui Song, Xiaoning Song, Chao Sun, Jingna Sun, Zhangyong Tang, Radu Timofte, Chi-Yi Tsai, Luc Van Gool, Om Prakash Verma, Dong Wang, Fei Wang, Liang Wang, Liangliang Wang, Lijun Wang, Limin Wang, Qiang Wang, Gangshan Wu, Jinlin Wu, Xiaojun Wu, Fei Xie, Tianyang Xu, Wei Xu, Yong Xu, Yuanyou Xu, Wanli Xue, Zizheng Xun, Bin Yan, Dawei Yang, Jinyu Yang, Wankou Yang, Xiaoyun Yang, Yi Yang, Yichun Yang, Zongxin Yang, Botao Ye, Fisher Yu, Hongyuan Yu, Jiaqian Yu, Qianjin Yu, Weichen Yu, Kang Ze, Jiang Zhai, Chengwei Zhang, Chunhu Zhang, Kaihua Zhang, Tianzhu Zhang, Wenkang Zhang, Zhibin Zhang, Zhipeng Zhang, Jie Zhao, Shao-Chuan Zhao, Feng Zheng, Haixia Zheng, Min Zheng, Bineng Zhong, Jiawen Zhu, Xuefeng Zhu, Yueting Zhuang

NeurIPSW 2022 TorchOpt: An Efficient Library for Differentiable Optimization Jie Ren, Xidong Feng, Bo Liu, Xuehai Pan, Yao Fu, Luo Mai, Yaodong Yang

ICCV 2021 BEV-Net: Assessing Social Distancing Compliance by Joint People Localization and Geometric Reasoning Zhirui Dai, Yuepeng Jiang, Yi Li, Bo Liu, Antoni B. Chan, Nuno Vasconcelos

ICML 2021 Coach-Player Multi-Agent Reinforcement Learning for Dynamic Team Composition Bo Liu, Qiang Liu, Peter Stone, Animesh Garg, Yuke Zhu, Anima Anandkumar

NeurIPS 2021 Conflict-Averse Gradient Descent for Multi-Task Learning Bo Liu, Xingchao Liu, Xiaojie Jin, Peter Stone, Qiang Liu

ICCV 2021 Deep Transport Network for Unsupervised Video Object Segmentation Kaihua Zhang, Zicheng Zhao, Dong Liu, Qingshan Liu, Bo Liu

CVPR 2021 DeepACG: Co-Saliency Detection via Semantic-Aware Contrast Gromov-Wasserstein Distance Kaihua Zhang, Mingliang Dong, Bo Liu, Xiao-Tong Yuan, Qingshan Liu

ICCV 2021 GistNet: A Geometric Structure Transfer Network for Long-Tailed Recognition Bo Liu, Haoxiang Li, Hao Kang, Gang Hua, Nuno Vasconcelos

AAAI 2021 LRSC: Learning Representations for Subspace Clustering Changsheng Li, Chen Yang, Bo Liu, Ye Yuan, Guoren Wang

ICCVW 2021 Learning Spatio-Appearance Memory Network for High-Performance Visual Tracking Fei Xie, Wankou Yang, Kaihua Zhang, Bo Liu, Guangting Wang, Wangmeng Zuo

NeurIPS 2021 Machine Versus Human Attention in Deep Reinforcement Learning Tasks Suna Guo, Ruohan Zhang, Bo Liu, Yifeng Zhu, Dana Ballard, Mary M. Hayhoe, Peter Stone

AAAI 2021 Mean-Variance Policy Iteration for Risk-Averse Reinforcement Learning Shangtong Zhang, Bo Liu, Shimon Whiteson

NeurIPS 2021 Neural Auto-Curricula in Two-Player Zero-Sum Games Xidong Feng, Oliver Slumbers, Ziyu Wan, Bo Liu, Stephen McAleer, Ying Wen, Jun Wang, Yaodong Yang

WACV 2021 Oriented Object Detection in Aerial Images with Box Boundary-Aware Vectors Jingru Yi, Pengxiang Wu, Bo Liu, Qiaoying Huang, Hui Qu, Dimitris Metaxas

ICCV 2021 Personalized and Invertible Face De-Identification by Disentangled Identity Information Manipulation Jingyi Cao, Bo Liu, Yunqian Wen, Rong Xie, Li Song

ICCVW 2021 Public Life in Public Space (PLPS): A Multi-Task, Multi-Group Video Dataset for Public Life Research Linbo Qing, Lindong Li, Shengyu Xu, Yibo Huang, Mei Liu, Rulong Jin, Bo Liu, Tong Niu, Hongqian Wen, Yuchen Wang, Xue Jiang, Yonghong Peng

ICCVW 2021 The Ninth Visual Object Tracking VOT2021 Challenge Results Matej Kristan, Jirí Matas, Ales Leonardis, Michael Felsberg, Roman P. Pflugfelder, Joni-Kristian Kämäräinen, Hyung Jin Chang, Martin Danelljan, Luka Cehovin Zajc, Alan Lukezic, Ondrej Drbohlav, Jani Käpylä, Gustav Häger, Song Yan, Jinyu Yang, Zhongqun Zhang, Gustavo Fernández, Mohamed H. Abdelpakey, Goutam Bhat, Llukman Cerkezi, Hakan Cevikalp, Shengyong Chen, Xin Chen, Miao Cheng, Ziyi Cheng, Yu-Chen Chiu, Ozgun Cirakman, Yutao Cui, Kenan Dai, Mohana Murali Dasari, Qili Deng, Xingping Dong, Daniel K. Du, Matteo Dunnhofer, Zhenhua Feng, Zhiyong Feng, Zhihong Fu, Shiming Ge, Rama Krishna Gorthi, Yuzhang Gu, Bilge Günsel, Qing Guo, Filiz Gurkan, Wencheng Han, Yanyan Huang, Felix Järemo Lawin, Shang-Jhih Jhang, Rongrong Ji, Cheng Jiang, Yingjie Jiang, Felix Juefei-Xu, J. Yin, Xiao Ke, Fahad Shahbaz Khan, Byeong Hak Kim, Josef Kittler, Xiangyuan Lan, Jun Ha Lee, Bastian Leibe, Hui Li, Jianhua Li, Xianxian Li, Yuezhou Li, Bo Liu, Chang Liu, Jingen Liu, Li Liu, Qingjie Liu, Huchuan Lu, Wei Lu, Jonathon Luiten, Jie Ma, Ziang Ma, Niki Martinel, Christoph Mayer, Alireza Memarmoghadam, Christian Micheloni, Yuzhen Niu, Danda Pani Paudel, Houwen Peng, Shoumeng Qiu, Aravindh Rajiv, Muhammad Rana, Andreas Robinson, Hasan Saribas, Ling Shao, Mohamed Shehata, Furao Shen, Jianbing Shen, Kristian Simonato, Xiaoning Song, Zhangyong Tang, Radu Timofte, Philip H. S. Torr, Chi-Yi Tsai, Bedirhan Uzun, Luc Van Gool, Paul Voigtlaender, Dong Wang, Guangting Wang, Liangliang Wang, Lijun Wang, Limin Wang, Linyuan Wang, Yong Wang, Yunhong Wang, Chenyan Wu, Gangshan Wu, Xiaojun Wu, Fei Xie, Tianyang Xu, Xiang Xu, Wanli Xue, Bin Yan, Wankou Yang, Xiaoyun Yang, Yu Ye, Jun Yin, Chengwei Zhang, Chunhui Zhang, Haitao Zhang, Kaihua Zhang, Kangkai Zhang, Xiaohan Zhang, Xiaolin Zhang, Xinyu Zhang, Zhibin Zhang, Shao-Chuan Zhao, Ming Zhen, Bineng Zhong, Jiawen Zhu, Xuefeng Zhu

AAAI 2020 Deep Object Co-Segmentation via Spatial-Semantic Network Modulation Kaihua Zhang, Jin Chen, Bo Liu, Qingshan Liu

JMLR 2020 Dual Iterative Hard Thresholding Xiao-Tong Yuan, Bo Liu, Lezi Wang, Qingshan Liu, Dimitris N. Metaxas

IJCAI 2020 DualSMC: Tunneling Differentiable Filtering and Planning Under Continuous POMDPs Yunbo Wang, Bo Liu, Jiajun Wu, Yuke Zhu, Simon S. Du, Li Fei-Fei, Joshua B. Tenenbaum

NeurIPS 2020 Firefly Neural Architecture Descent: A General Approach for Growing Neural Networks Lemeng Wu, Bo Liu, Peter Stone, Qiang Liu

ICML 2020 GradientDICE: Rethinking Generalized Offline Estimation of Stationary Values Shangtong Zhang, Bo Liu, Shimon Whiteson

IJCAI 2020 Human Gaze Assisted Artificial Intelligence: A Review Ruohan Zhang, Akanksha Saran, Bo Liu, Yifeng Zhu, Sihang Guo, Scott Niekum, Dana H. Ballard, Mary M. Hayhoe

ECCV 2020 Meta-Learning with Network Pruning Hongduan Tian, Bo Liu, Xiao-Tong Yuan, Qingshan Liu

AAAI 2020 Object-Guided Instance Segmentation for Biological Images Jingru Yi, Hui Tang, Pengxiang Wu, Bo Liu, Daniel J. Hoeppner, Dimitris N. Metaxas, Lianyi Han, Wei Fan

ICML 2020 Provably Convergent Two-Timescale Off-Policy Actor-Critic with Function Approximation Shangtong Zhang, Bo Liu, Hengshuai Yao, Shimon Whiteson

AAAI 2020 Robust Conditional GAN from Uncertainty-Aware Pairwise Comparisons Ligong Han, Ruijiang Gao, Mun Kim, Xin Tao, Bo Liu, Dimitris N. Metaxas

ECCV 2020 SPOT: Selective Point Cloud Voting for Better Proposal in Point Cloud Object Detection Hongyuan Du, Linjun Li, Bo Liu, Nuno Vasconcelos

NeurIPS 2020 Towards Playing Full MOBA Games with Deep Reinforcement Learning Deheng Ye, Guibin Chen, Wen Zhang, Sheng Chen, Bo Yuan, Bo Liu, Jia Chen, Zhao Liu, Fuhao Qiu, Hongsheng Yu, Yinyuting Yin, Bei Shi, Liang Wang, Tengfei Shi, Qiang Fu, Wei Yang, Lanxiao Huang, Wei Liu

AAAI 2020 Zero-Shot Learning from Adversarial Feature Residual to Compact Visual Feature Bo Liu, Qiulei Dong, Zhanyi Hu

AISTATS 2019 Distributed Inexact Newton-Type Pursuit for Non-Convex Sparse Learning Bo Liu, Xiao-Tong Yuan, Lezi Wang, Qingshan Liu, Junzhou Huang, Dimitris N. Metaxas

AAAI 2019 Logic-Based Sequential Decision-Making Daoming Lyu, Fangkai Yang, Bo Liu, Daesub Yoon

AAAI 2019 SDRL: Interpretable and Data-Efficient Deep Reinforcement Learning Leveraging Symbolic Planning Daoming Lyu, Fangkai Yang, Bo Liu, Steven Gustafson

NeurIPS 2018 A Block Coordinate Ascent Algorithm for Mean-Variance Optimization Tengyang Xie, Bo Liu, Yangyang Xu, Mohammad Ghavamzadeh, Yinlam Chow, Daoming Lyu, Daesub Yoon

ECCVW 2018 Constrained-Size TensorFlow Models for YouTube-8m Video Understanding Challenge Tianqi Liu, Bo Liu

ECCVW 2018 Deep Fusion Network for Splicing Forgery Localization Bo Liu, Chi-Man Pun

IJCAI 2018 PEORL: Integrating Symbolic Planning and Hierarchical Reinforcement Learning for Robust Decision-Making Fangkai Yang, Daoming Lyu, Bo Liu, Steven Gustafson

JAIR 2018 Proximal Gradient Temporal Difference Learning: Stable Reinforcement Learning with Polynomial Sample Complexity Bo Liu, Ian Gemp, Mohammad Ghavamzadeh, Ji Liu, Sridhar Mahadevan, Marek Petrik

AAAI 2018 Transferable Contextual Bandit for Cross-Domain Recommendation Bo Liu, Ying Wei, Yu Zhang, Zhixian Yan, Qiang Yang

IJCAI 2017 Deep Neural Networks for High Dimension, Low Sample Size Data Bo Liu, Ying Wei, Yu Zhang, Qiang Yang

ICML 2017 Dual Iterative Hard Thresholding: From Non-Convex Sparse Minimization to Non-Smooth Concave Maximization Bo Liu, Xiao-Tong Yuan, Lezi Wang, Qingshan Liu, Dimitris N. Metaxas

UAI 2016 Dantzig Selector with an Approximately Optimal Denoising Matrix and Its Application in Sparse Reinforcement Learning Bo Liu, Luwan Zhang, Ji Liu

AAAI 2016 Decentralized Robust Subspace Clustering Bo Liu, Xiao-Tong Yuan, Yang Yu, Qingshan Liu, Dimitris N. Metaxas

IJCAI 2016 Efficient K-Support-Norm Regularized Minimization via Fully Corrective Frank-Wolfe Method Bo Liu, Xiao-Tong Yuan, Shaoting Zhang, Qingshan Liu, Dimitris N. Metaxas

IJCAI 2016 Proximal Gradient Temporal Difference Learning Algorithms Bo Liu, Ji Liu, Mohammad Ghavamzadeh, Sridhar Mahadevan, Marek Petrik

AAAI 2016 Uncorrelated Group LASSO Deguang Kong, Ji Liu, Bo Liu, Xuan Bao

ICCV 2015 Bayesian Model Adaptation for Crowd Counts Bo Liu, Nuno Vasconcelos

UAI 2015 Finite-Sample Analysis of Proximal Gradient TD Algorithms Bo Liu, Ji Liu, Mohammad Ghavamzadeh, Sridhar Mahadevan, Marek Petrik

IJCAI 2015 Image Feature Learning for Cold Start Problem in Display Advertising Kaixiang Mo, Bo Liu, Lei Xiao, Yong Li, Jie Jiang

CVPRW 2013 Large Scale Medical Image Search via Unsupervised PCA Hashing Xiang Yu, Shaoting Zhang, Bo Liu, Lin Zhong, Dimitris N. Metaxas

CVPR 2012 Learning Active Facial Patches for Expression Analysis Lin Zhong, Qingshan Liu, Peng Yang, Bo Liu, Junzhou Huang, Dimitris N. Metaxas

NeurIPS 2012 Regularized Off-Policy TD-Learning Bo Liu, Sridhar Mahadevan, Ji Liu

UAI 2012 Sparse Q-Learning with Mirror Descent Sridhar Mahadevan, Bo Liu

IJCAI 2011 Similarity-Based Approach for Positive and Unlabeled Learning Yanshan Xiao, Bo Liu, Jie Yin, Longbing Cao, Chengqi Zhang, Zhifeng Hao

NeurIPS 2010 Basis Construction from Power Series Expansions of Value Functions Sridhar Mahadevan, Bo Liu