Morphology generalizable reinforcement learning via multi-level graph features - Yansong Pan; Rui Zhang; Jiaming Guo; Shaohui Peng; Fan Wu; Kaizhao Yuan; Yunkai Gao; Siming Lan; Ruizhi Chen; Ling Li; Xing Hu; Zidong Du; et al. (Neurocomputing, 2025)

Cambricon-SR: An Accelerator for Neural Scene Representation with Sparse Encoding Table - Tianbo Liu; Xinkai Song; Zhifei Yue; Rui Wen; Xing Hu; Zhuoran Song; Yuanbo Wen; Yifan Hao; Wei Li; Zidong Du; Rui Zhang; Jiaming Guo; et al. (Proceedings of the 52nd Annual International Symposium on Computer Architecture, ISCA 2025, Tokyo, Japan, June 21-25, 2025, 2025)

QiMeng-Xpiler: Transcompiling Tensor Programs for Deep Learning Systems with a Neural-Symbolic Approach - Shouyang Dong; Jun Bi; Di Huang; Jiaming Guo; Jianxing Xu; Ruibai Xu; Xinkai Song; Yifan Hao; Ling Li; Xuehai Zhou; Tianshi Chen; Qi Guo; et al. (19th USENIX Symposium on Operating Systems Design and Implementation, OSDI 2025, Boston, MA, USA, July 7-9, 2025, 2025)

Nonlinear Model Reduction by Probabilistic Manifold Decomposition - Jiaming Guo; Dunhui Xiao (CoRR, 2025)

Policy Constraint by Only Support Constraint for Offline Reinforcement Learning - Yunkai Gao; Jiaming Guo; Fan Wu; Rui Zhang (CoRR, 2025)

Object-Level Verbalized Confidence Calibration in Vision-Language Models via Semantic Perturbation - Yunpu Zhao; Rui Zhang; Junbin Xiao; Ruibo Hou; Jiaming Guo; Zihao Zhang; Yifan Hao; Yunji Chen (CoRR, 2025)

QiMeng-Xpiler: Transcompiling Tensor Programs for Deep Learning Systems with a Neural-Symbolic Approach - Shouyang Dong; Yuanbo Wen; Jun Bi; Di Huang; Jiaming Guo; Jianxing Xu; Ruibai Xu; Xinkai Song; Yifan Hao; Xuehai Zhou; Tianshi Chen; Qi Guo; et al. (CoRR, 2025)

QiMeng: Fully Automated Hardware and Software Design for Processor Chip - Rui Zhang; Yuanbo Wen; Shuyao Cheng; Di Huang; Shaohui Peng; Jiaming Guo; Pengwei Jin; Jiacheng Zhao; Tianrui Ma; Yaoyu Zhu; Yifan Hao; Yongwei Zhao; et al. (CoRR, 2025)

Mutual-Supervised Learning for Sequential-to-Parallel Code Translation - Changxin Ke; Rui Zhang; Shuo Wang; Li Ding; Guangli Li; Yuanbo Wen; Shuoming Zhang; Ruiyuan Xu; Jin Qin; Jiaming Guo; Chenxi Wang; Ling Li; et al. (CoRR, 2025)

SenseMLP: a parallel MLP architecture for sensor-based human activity recognition - Weilin Li; Jiaming Guo; Hong Wu (Multim. Syst., 2024)

Hypothesis, Verification, and Induction: Grounding Large Language Models with Self-Driven Skill Learning - Shaohui Peng; Xing Hu; Qi Yi; Rui Zhang; Jiaming Guo; Di Huang; Zikang Tian; Ruizhi Chen; Zidong Du; Qi Guo; Yunji Chen; Ling Li (Thirty-Eighth AAAI Conference on Artificial Intelligence, AAAI 2024, Thirty-Sixth Conference on Innovative Applications of Artificial Intelligence, IAAI 2024, Fourteenth Symposium on Educational Advances in Artificial Intelligence, EAAI 2014, February 20-27, 2024, Vancouver, Canada, 2024)

OCEAN-MBRL: Offline Conservative Exploration for Model-Based Offline Reinforcement Learning - Fan Wu; Rui Zhang; Qi Yi; Yunkai Gao; Jiaming Guo; Shaohui Peng; Siming Lan; Husheng Han; Yansong Pan; Kaizhao Yuan; Pengwei Jin; Ruizhi Chen; et al. (Thirty-Eighth AAAI Conference on Artificial Intelligence, AAAI 2024, Thirty-Sixth Conference on Innovative Applications of Artificial Intelligence, IAAI 2024, Fourteenth Symposium on Educational Advances in Artificial Intelligence, EAAI 2014, February 20-27, 2024, Vancouver, Canada, 2024)

Emergent Communication for Numerical Concepts Generalization - Enshuai Zhou; Yifan Hao; Rui Zhang; Yuxuan Guo; Zidong Du; Xishan Zhang; Xinkai Song; Chao Wang; Xuehai Zhou; Jiaming Guo; Qi Yi; Shaohui Peng; et al. (Thirty-Eighth AAAI Conference on Artificial Intelligence, AAAI 2024, Thirty-Sixth Conference on Innovative Applications of Artificial Intelligence, IAAI 2024, Fourteenth Symposium on Educational Advances in Artificial Intelligence, EAAI 2014, February 20-27, 2024, Vancouver, Canada, 2024)

Ex3: Automatic Novel Writing by Extracting, Excelsior and Expanding - Huang Lei; Jiaming Guo; Guanhua He; Xishan Zhang; Rui Zhang; Shaohui Peng; Shaoli Liu; Tianshi Chen (Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), ACL 2024, Bangkok, Thailand, August 11-16, 2024, 2024)

Real-Time 4K Super-Resolution of Compressed AVIF Images. AIS 2024 Challenge Survey - Marcos V. Conde; Zhijun Lei; Wen Li; Ioannis Katsavounidis; Radu Timofte; Min Yan; Xin Liu; Qian Wang; Xiaoqian Ye; Zhan Du; Tiansen Zhang; Zhiyuan Li; et al. (IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2024 - Workshops, Seattle, WA, USA, June 17-18, 2024, 2024)

The Ninth NTIRE 2024 Efficient Super-Resolution Challenge Report - Bin Ren; Yawei Li; Nancy Mehta; Radu Timofte; Hongyuan Yu; Cheng Wan; Yuxin Hong; Bingnan Han; Zhuoyuan Wu; Yajun Zou; Yuqing Liu; Jizhe Li; et al. (IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2024 - Workshops, Seattle, WA, USA, June 17-18, 2024, 2024)

Prompt-based Visual Alignment for Zero-shot Policy Transfer - Haihan Gao; Rui Zhang; Qi Yi; Hantao Yao; Haochen Li; Jiaming Guo; Shaohui Peng; Yunkai Gao; QiCheng Wang; Xing Hu; Yuanbo Wen; Zihao Zhang; et al. (Forty-first International Conference on Machine Learning, ICML 2024, Vienna, Austria, July 21-27, 2024, 2024)

Assessing and Understanding Creativity in Large Language Models - Yunpu Zhao; Rui Zhang; Wenyi Li; Di Huang; Jiaming Guo; Shaohui Peng; Yifan Hao; Yuanbo Wen; Xing Hu; Zidong Du; Qi Guo; Ling Li; et al. (CoRR, 2024)

The Ninth NTIRE 2024 Efficient Super-Resolution Challenge Report - Bin Ren; Yawei Li; Nancy Mehta; Radu Timofte; Hongyuan Yu; Cheng Wan; Yuxin Hong; Bingnan Han; Zhuoyuan Wu; Yajun Zou; Yuqing Liu; Jizhe Li; et al. (CoRR, 2024)

Real-Time 4K Super-Resolution of Compressed AVIF Images. AIS 2024 Challenge Survey - Marcos V. Conde; Zhijun Lei; Wen Li; Cosmin Stejerean; Ioannis Katsavounidis; Radu Timofte; Kihwan Yoon; Ganzorig Gankhuyag; Jiangtao Lv; Long Sun; Jinshan Pan; Jiangxin Dong; et al. (CoRR, 2024)

Efficient Real-world Image Super-Resolution Via Adaptive Directional Gradient Convolution - Long Peng; Yang Cao; Renjing Pei; Wenbo Li; Jiaming Guo; Xueyang Fu; Yang Wang; Zheng-Jun Zha (CoRR, 2024)

Luban: Building Open-Ended Creative Agents via Autonomous Embodied Verification - Yuxuan Guo; Shaohui Peng; Jiaming Guo; Di Huang; Xishan Zhang; Rui Zhang; Yifan Hao; Ling Li; Zikang Tian; Mingju Gao; Yutai Li; Yiming Gan; et al. (CoRR, 2024)

Prompt-based Visual Alignment for Zero-shot Policy Transfer - Haihan Gao; Rui Zhang; Qi Yi; Hantao Yao; Haochen Li; Jiaming Guo; Shaohui Peng; Yunkai Gao; QiCheng Wang; Xing Hu; Yuanbo Wen; Zihao Zhang; et al. (CoRR, 2024)

Ex3: Automatic Novel Writing by Extracting, Excelsior and Expanding - Huang Lei; Jiaming Guo; Guanhua He; Xishan Zhang; Rui Zhang; Shaohui Peng; Shaoli Liu; Tianshi Chen (CoRR, 2024)

World-Consistent Data Generation for Vision-and-Language Navigation - Yu Zhong; Rui Zhang; Zihao Zhang; Shuo Wang; Chuan Fang; Xishan Zhang; Jiaming Guo; Shaohui Peng; Di Huang; Yanyang Yan; Xing Hu; Ping Tan; et al. (CoRR, 2024)

A collaborative filtering recommendation algorithm based on DeepWalk and self-attention - Jiaming Guo; Hong Wen; Weihong Huang; Ce Yang (Int. J. Comput. Sci. Eng., 2023)

Learning controllable elements oriented representations for reinforcement learning - Qi Yi; Rui Zhang; Shaohui Peng; Jiaming Guo; Xing Hu; Zidong Du; Qi Guo; Ruizhi Chen; Ling Li; Yunji Chen (Neurocomputing, 2023)

Conceptual Reinforcement Learning for Language-Conditioned Tasks - Shaohui Peng; Xing Hu; Rui Zhang; Jiaming Guo; Qi Yi; Ruizhi Chen; Zidong Du; Ling Li; Qi Guo; Yunji Chen (Thirty-Seventh AAAI Conference on Artificial Intelligence, AAAI 2023, Thirty-Fifth Conference on Innovative Applications of Artificial Intelligence, IAAI 2023, Thirteenth Symposium on Educational Advances in Artificial Intelligence, EAAI 2023, Washington, DC, USA, February 7-14, 2023, 2023)

Efficient Deep Models for Real-Time 4K Image Super-Resolution. NTIRE 2023 Benchmark and Report - Marcos V. Conde; Eduard Zamfir; Radu Timofte; Daniel Motilla; Cen Liu; Zexin Zhang; Yunbo Peng; Yue Lin; Jiaming Guo; Xueyi Zou; Yuyi Chen; Yi Liu; et al. (IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2023 - Workshops, Vancouver, BC, Canada, June 17-24, 2023, 2023)

AsConvSR: Fast and Lightweight Super-Resolution Network with Assembled Convolutions - Jiaming Guo; Xueyi Zou; Yuyi Chen; Yi Liu; Jia Hao; Jianzhuang Liu; Youliang Yan (IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2023 - Workshops, Vancouver, BC, Canada, June 17-24, 2023, 2023)

Online Prototype Alignment for Few-shot Policy Transfer - Qi Yi; Rui Zhang; Shaohui Peng; Jiaming Guo; Yunkai Gao; Kaizhao Yuan; Ruizhi Chen; Siming Lan; Xing Hu; Zidong Du; Xishan Zhang; Qi Guo; et al. (International Conference on Machine Learning, ICML 2023, 23-29 July 2023, Honolulu, Hawaii, USA, 2023)

Context Shift Reduction for Offline Meta-Reinforcement Learning - Yunkai Gao; Rui Zhang; Jiaming Guo; Fan Wu; Qi Yi; Shaohui Peng; Siming Lan; Ruizhi Chen; Zidong Du; Xing Hu; Qi Guo; Ling Li; et al. (Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023, 2023)

Efficient Symbolic Policy Learning with Differentiable Symbolic Expression - Jiaming Guo; Rui Zhang; Shaohui Peng; Qi Yi; Xing Hu; Ruizhi Chen; Zidong Du; Xishan Zhang; Ling Li; Qi Guo; Yunji Chen (Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023, 2023)

Emergent Communication for Rules Reasoning - Yuxuan Guo; Yifan Hao; Rui Zhang; Enshuai Zhou; Zidong Du; Xishan Zhang; Xinkai Song; Yuanbo Wen; Yongwei Zhao; Xuehai Zhou; Jiaming Guo; Qi Yi; et al. (Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023, 2023)

Contrastive Modules with Temporal Attention for Multi-Task Reinforcement Learning - Siming Lan; Rui Zhang; Qi Yi; Jiaming Guo; Shaohui Peng; Yunkai Gao; Fan Wu; Ruizhi Chen; Zidong Du; Xing Hu; Xishan Zhang; Ling Li; et al. (Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023, 2023)

Decompose a Task into Generalizable Subtasks in Multi-Agent Reinforcement Learning - Zikang Tian; Ruizhi Chen; Xing Hu; Ling Li; Rui Zhang; Fan Wu; Shaohui Peng; Jiaming Guo; Zidong Du; Qi Guo; Yunji Chen (Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023, 2023)

Conceptual Reinforcement Learning for Language-Conditioned Tasks - Shaohui Peng; Xing Hu; Rui Zhang; Jiaming Guo; Qi Yi; Ruizhi Chen; Zidong Du; Ling Li; Qi Guo; Yunji Chen (CoRR, 2023)

AsConvSR: Fast and Lightweight Super-Resolution Network with Assembled Convolutions - Jiaming Guo; Xueyi Zou; Yuyi Chen; Yi Liu; Jia Hao; Jianzhuang Liu; Youliang Yan (CoRR, 2023)

Online Prototype Alignment for Few-shot Policy Transfer - Qi Yi; Rui Zhang; Shaohui Peng; Jiaming Guo; Yunkai Gao; Kaizhao Yuan; Ruizhi Chen; Siming Lan; Xing Hu; Zidong Du; Xishan Zhang; Qi Guo; et al. (CoRR, 2023)

Self-driven Grounding: Large Language Model Agents with Automatical Language-aligned Skill Learning - Shaohui Peng; Xing Hu; Qi Yi; Rui Zhang; Jiaming Guo; Di Huang; Zikang Tian; Ruizhi Chen; Zidong Du; Qi Guo; Yunji Chen; Ling Li (CoRR, 2023)

Contrastive Modules with Temporal Attention for Multi-Task Reinforcement Learning - Siming Lan; Rui Zhang; Qi Yi; Jiaming Guo; Shaohui Peng; Yunkai Gao; Fan Wu; Ruizhi Chen; Zidong Du; Xing Hu; Xishan Zhang; Ling Li; et al. (CoRR, 2023)

Efficient Symbolic Policy Learning with Differentiable Symbolic Expression - Jiaming Guo; Rui Zhang; Shaohui Peng; Qi Yi; Xing Hu; Ruizhi Chen; Zidong Du; Xishan Zhang; Ling Li; Qi Guo; Yunji Chen (CoRR, 2023)

Context Shift Reduction for Offline Meta-Reinforcement Learning - Yunkai Gao; Rui Zhang; Jiaming Guo; Fan Wu; Qi Yi; Shaohui Peng; Siming Lan; Ruizhi Chen; Zidong Du; Xing Hu; Qi Guo; Ling Li; et al. (CoRR, 2023)

Emergent Communication for Rules Reasoning - Yuxuan Guo; Yifan Hao; Rui Zhang; Enshuai Zhou; Zidong Du; Xishan Zhang; Xinkai Song; Yuanbo Wen; Yongwei Zhao; Xuehai Zhou; Jiaming Guo; Qi Yi; et al. (CoRR, 2023)

A Codec Information Assisted Framework for Efficient Compressed Video Super-Resolution - Hengsheng Zhang; Xueyi Zou; Jiaming Guo; Youliang Yan; Rong Xie; Li Song (Computer Vision - ECCV 2022 - 17th European Conference, Tel Aviv, Israel, October 23-27, 2022, Proceedings, Part XVII, 2022)

Multi-Scale Coarse-to-Fine Transformer for Frame Interpolation - Chen Li; Li Song; Xueyi Zou; Jiaming Guo; Youliang Yan; Wenjun Zhang (MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10 - 14, 2022, 2022)

Causality-driven Hierarchical Structure Discovery for Reinforcement Learning - Shaohui Peng; Xing Hu; Rui Zhang; Ke Tang; Jiaming Guo; Qi Yi; Ruizhi Chen; Xishan Zhang; Zidong Du; Ling Li; Qi Guo; Yunji Chen (Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, NeurIPS 2022, New Orleans, LA, USA, November 28 - December 9, 2022, 2022)

Object-Category Aware Reinforcement Learning - Qi Yi; Rui Zhang; Shaohui Peng; Jiaming Guo; Xing Hu; Zidong Du; Xishan Zhang; Qi Guo; Yunji Chen (Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, NeurIPS 2022, New Orleans, LA, USA, November 28 - December 9, 2022, 2022)

Design on ship "video radar" enhanced navigation system based on multi-camera - Zhengzhong Li; Mingyang Pan; Jingfeng Hu; Jiaming Guo (Proceedings of the 2022 5th International Conference on Signal Processing and Machine Learning, SPML 2022, Dalian, China, August 4-6, 2022, 2022)

Causality-driven Hierarchical Structure Discovery for Reinforcement Learning - Shaohui Peng; Xing Hu; Rui Zhang; Ke Tang; Jiaming Guo; Qi Yi; Ruizhi Chen; Xishan Zhang; Zidong Du; Ling Li; Qi Guo; Yunji Chen (CoRR, 2022)

Object-Category Aware Reinforcement Learning - Qi Yi; Rui Zhang; Shaohui Peng; Jiaming Guo; Xing Hu; Zidong Du; Xishan Zhang; Qi Guo; Yunji Chen (CoRR, 2022)

A Codec Information Assisted Framework for Efficient Compressed Video Super-Resolution - Hengsheng Zhang; Xueyi Zou; Jiaming Guo; Youliang Yan; Rong Xie; Li Song (CoRR, 2022)

PPMCK: Privacy-preserving multi-party computing for K-means clustering - Yongkai Fan; Jianrong Bai; Xia Lei; Weiguo Lin; Qian Hu; Guodong Wu; Jiaming Guo; Gang Tan (J. Parallel Distributed Comput., 2021)

Hindsight Value Function for Variance Reduction in Stochastic Dynamic Environment - Jiaming Guo; Rui Zhang; Xishan Zhang; Shaohui Peng; Qi Yi; Zidong Du; Xing Hu; Qi Guo; Yunji Chen (Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI 2021, Virtual Event / Montreal, Canada, 19-27 August 2021, 2021)

Real-Time Quantized Image Super-Resolution on Mobile NPUs, Mobile AI 2021 Challenge: Report - Andrey Ignatov; Radu Timofte; Maurizio Denna; Abdel Younes; Andrew Lek; Mustafa Ayazoglu; Jie Liu; Zongcai Du; Jiaming Guo; Xueyi Zhou; Hao Jia; Youliang Yan; et al. (CoRR, 2021)

Real-Time Video Super-Resolution on Smartphones with Deep Learning, Mobile AI 2021 Challenge: Report - Andrey Ignatov; Andrés Romero; Heewon Kim; Radu Timofte; Chiu Man Ho; Zibo Meng; Kyoung Mu Lee; Yuxiang Chen; Yutong Wang; Zeyu Long; Chenhao Wang; Yifei Chen; et al. (CoRR, 2021)

Hindsight Value Function for Variance Reduction in Stochastic Dynamic Environment - Jiaming Guo; Rui Zhang; Xishan Zhang; Shaohui Peng; Qi Yi; Zidong Du; Xing Hu; Qi Guo; Yunji Chen (CoRR, 2021)

Characteristic analysis of humidity control in a fresh-keeping container using CFD model - Jiaming Guo; Xinyu Wei; Bin Li; Yongfeng Cao; Jiawei Han; Xinting Yang; Enli Lü (Comput. Electron. Agric., 2020)

High-Quality Video Generation from Static Structural Annotations - Lu Sheng; Junting Pan; Jiaming Guo; Jing Shao; Chen Change Loy (Int. J. Comput. Vis., 2020)

DWM: A Decomposable Winograd Method for Convolution Acceleration - Di Huang; Xishan Zhang; Rui Zhang; Tian Zhi; Deyuan He; Jiaming Guo; Chang Liu; Qi Guo; Zidong Du; Shaoli Liu; Tianshi Chen; Yunji Chen (The Thirty-Fourth AAAI Conference on Artificial Intelligence, AAAI 2020, The Thirty-Second Innovative Applications of Artificial Intelligence Conference, IAAI 2020, The Tenth AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2020, New York, NY, USA, February 7-12, 2020, 2020)

Multi-label Detection and Classification of Red Blood Cells in Microscopic Images - Wei Qiu; Jiaming Guo; Xiang Li; Mengjia Xu; Mo Zhang; Ning Guo; Quanzheng Li (2020 IEEE International Conference on Big Data (IEEE BigData 2020), Atlanta, GA, USA, December 10-13, 2020, 2020)

Fixed-Point Back-Propagation Training - Xishan Zhang; Shaoli Liu; Rui Zhang; Chang Liu; Di Huang; Shiyi Zhou; Jiaming Guo; Qi Guo; Zidong Du; Tian Zhi; Yunji Chen (2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2020, Seattle, WA, USA, June 13-19, 2020, 2020)

DWM: A Decomposable Winograd Method for Convolution Acceleration - Di Huang; Xishan Zhang; Rui Zhang; Tian Zhi; Deyuan He; Jiaming Guo; Chang Liu; Qi Guo; Zidong Du; Shaoli Liu; Tianshi Chen; Yunji Chen (CoRR, 2020)

Conditional progressive network for clothing parsing - Zhuo Su; Jiaming Guo; Gengwei Zhang; Xianghui Luo; Ruomei Wang; Fan Zhou (IET Image Process., 2019)

Predicting Alzheimer's Disease by Hierarchical Graph Convolution from Positron Emission Tomography Imaging - Jiaming Guo; Wei Qiu; Xiang Li; Xuandong Zhao; Ning Guo; Quanzheng Li (2019 IEEE International Conference on Big Data (IEEE BigData), Los Angeles, CA, USA, December 9-12, 2019, 2019)

Image-Based Virtual Try-on Network with Structural Coherence - Feng Sun; Jiaming Guo; Zhuo Su; Chengying Gao (2019 IEEE International Conference on Image Processing, ICIP 2019, Taipei, Taiwan, September 22-25, 2019, 2019)

Unsupervised Bi-directional Flow-based Video Generation from one Snapshot - Lu Sheng; Junting Pan; Jiaming Guo; Jing Shao; Xiaogang Wang; Chen Change Loy (CoRR, 2019)

Predicting Alzheimer's Disease by Hierarchical Graph Convolution from Positron Emission Tomography Imaging - Jiaming Guo; Wei Qiu; Xiang Li; Xuandong Zhao; Ning Guo; Quanzheng Li (CoRR, 2019)

Multi-label Detection and Classification of Red Blood Cells in Microscopic Images - Wei Qiu; Jiaming Guo; Xiang Li; Mengjia Xu; Mo Zhang; Ning Guo; Quanzheng Li (CoRR, 2019)

An edge-refined vectorized deep colorization model for grayscale-to-color images - Zhuo Su; Xiangguo Liang; Jiaming Guo; Chengying Gao; Xiaonan Luo (Neurocomputing, 2018)

Video Foreground Cosegmentation Based on Common Fate - Jiaming Guo; Loong-Fah Cheong; Robby T. Tan (IEEE Trans. Circuits Syst. Video Technol., 2018)

Trusted Guidance Pyramid Network for Human Parsing - Xianghui Luo; Zhuo Su; Jiaming Guo; Gengwei Zhang; Xiangjian He (2018 ACM Multimedia Conference on Multimedia Conference, MM 2018, Seoul, Republic of Korea, October 22-26, 2018, 2018)

Conditional Feature Coupling Network for Multi-persons Clothing Parsing - Jiaming Guo; Zhuo Su; Xianghui Luo; Gengwei Zhang; Xiwen Liang (Advances in Multimedia Information Processing - PCM 2018 - 19th Pacific-Rim Conference on Multimedia, Hefei, China, September 21-22, 2018, Proceedings, Part I, 2018)

Deep patch-wise colorization model for grayscale images - Xiangguo Liang; Zhuo Su; Yiqi Xiao; Jiaming Guo; Xiaonan Luo (SIGGRAPH ASIA 2016, Macao, December 5-8, 2016 - Technical Briefs, 2016)

Generalized Likelihood Ratio Test For Cyclostationary Multi-Antenna Spectrum Sensing - Guohui Zhong; Jiaming Guo; Daiming Qu; Tao Jiang; Jingchao Sun (KSII Trans. Internet Inf. Syst., 2014)

Consistent Foreground Co-segmentation - Jiaming Guo; Loong-Fah Cheong; Robby T. Tan; Steven Zhiying Zhou (Computer Vision - ACCV 2014 - 12th Asian Conference on Computer Vision, Singapore, Singapore, November 1-5, 2014, Revised Selected Papers, Part IV, 2014)

Perspective Motion Segmentation via Collaborative Clustering - Zhuwen Li; Jiaming Guo; Loong-Fah Cheong; Steven Zhiying Zhou (IEEE International Conference on Computer Vision, ICCV 2013, Sydney, Australia, December 1-8, 2013, 2013)

Video Co-segmentation for Meaningful Action Extraction - Jiaming Guo; Zhuwen Li; Loong-Fah Cheong; Steven Zhiying Zhou (IEEE International Conference on Computer Vision, ICCV 2013, Sydney, Australia, December 1-8, 2013, 2013)

Diminished reality using appearance and 3D geometry of internet photo collections - Zhuwen Li; Yuxi Wang; Jiaming Guo; Loong-Fah Cheong; Steven Zhiying Zhou (IEEE International Symposium on Mixed and Augmented Reality, ISMAR 2013, Adelaide, Australia, October 1-4, 2013, 2013)

Low Overhead Cyclostationary Signatures Based on Hopping Subcarrier in OFDM-Based Dynamic Spectrum Access Networks - Jingchao Sun; Daiming Qu; Tao Jiang; Guohui Zhong; Jiaming Guo (Proceedings of the 74th IEEE Vehicular Technology Conference, VTC Fall 2011, 5-8 September 2011, San Francisco, CA, USA, 2011)

Cyclostationarity Based Multi-Antenna Spectrum Sensing in Cognitive Radio Networks - Guohui Zhong; Jiaming Guo; Zhen Zhao; Daiming Qu (Proceedings of the 71st IEEE Vehicular Technology Conference, VTC Spring 2010, 16-19 May 2010, Taipei, Taiwan, 2010)