Liu, Jie

88 publications

TMLR 2026 Achieving Faster than O(1/t) Convergence in General Convex Federated Learning Jie Liu, Zuang Wang, Yongqiang Wang
CVPR 2025 AutoLUT: LUT-Based Image Super-Resolution with Automatic Sampling and Adaptive Residual Learning Yuheng Xu, Shijie Yang, Xin Liu, Jie Liu, Jie Tang, Gangshan Wu
CVPR 2025 Binarized Mamba-Transformer for Lightweight Quad Bayer HybridEVS Demosaicing Shiyang Zhou, Haijin Zeng, Yunfan Lu, Tong Shao, Ke Tang, Yongyong Chen, Jie Liu, Jingyong Su
AAAI 2025 Both Supply and Precision: Sample Debias and Ranking Consistency Joint Learning for Large Scale Pre-Ranking System Feng Gao, Xin Zhou, Yinning Shao, Yue Wu, Jiahua Gao, Yujian Ren, Fengyang Qi, Ruochen Deng, Jie Liu
CVPR 2025 CATANet: Efficient Content-Aware Token Aggregation for Lightweight Image Super-Resolution Xin Liu, Jie Liu, Jie Tang, Gangshan Wu
ICLR 2025 CaPo: Cooperative Plan Optimization for Efficient Embodied Multi-Agent Cooperation Jie Liu, Pan Zhou, Yingjun Du, Ah-Hwee Tan, Cees G. M. Snoek, Jan-Jakob Sonke, Efstratios Gavves
ECML-PKDD 2025 Community-Aware Graph Transformer: Preserving Community Semantics for Effective Global Aggregation Yutai Duan, Jie Liu, Jianhua Wu, Jialin Liu
AAAI 2025 DAMPER: A Dual-Stage Medical Report Generation Framework with Coarse-Grained MeSH Alignment and Fine-Grained Hypergraph Matching Xiaofei Huang, Wenting Chen, Jie Liu, Qisheng Lu, Xiaoling Luo, Linlin Shen
ICLR 2025 Determine-Then-Ensemble: Necessity of Top-K Union for Large Language Model Ensembling Yuxuan Yao, Han Wu, Mingyang Liu, Sichun Luo, Xiongwei Han, Jie Liu, Zhijiang Guo, Linqi Song
AAAI 2025 E4: Energy-Efficient DNN Inference for Edge Video Analytics via Early Exiting and DVFS Ziyang Zhang, Yang Zhao, Ming-Ching Chang, Changyao Lin, Jie Liu
JAIR 2025 Enhanced Recommendation Systems with Retrieval-Augmented Large Language Model Chuyuan Wei, Ke Duan, Shengda Zhuo, Hongchun Wang, Shuqiang Huang, Jie Liu
NeurIPS 2025 Flow-GRPO: Training Flow Matching Models via Online RL Jie Liu, Gongye Liu, Jiajun Liang, Yangguang Li, Jiaheng Liu, Xintao Wang, Pengfei Wan, Di Zhang, Wanli Ouyang
NeurIPS 2025 Improving Video Generation with Human Feedback Jie Liu, Gongye Liu, Jiajun Liang, Ziyang Yuan, Xiaokun Liu, Mingwu Zheng, Xiele Wu, Qiulin Wang, Menghan Xia, Xintao Wang, Xiaohong Liu, Fei Yang, Pengfei Wan, Di Zhang, Kun Gai, Yujiu Yang, Wanli Ouyang
AAAI 2025 K-Hop Hypergraph Neural Network: A Comprehensive Aggregation Approach Linhuang Xie, Shihao Gao, Jie Liu, Ming Yin, Taisong Jin
NeurIPS 2025 Large Language Models for Lossless Image Compression: Next-Pixel Prediction in Language Space Is All You Need Kecheng Chen, Pingping Zhang, Hui Liu, Jie Liu, Yibing Liu, Jiaxin Huang, Shiqi Wang, Hong Yan, Haoliang Li
NeurIPS 2025 MASTER: Enhancing Large Language Model via Multi-Agent Simulated Teaching Liang Yue, Yihong Tang, Kehai Chen, Jie Liu, Min Zhang
NeurIPS 2025 MedChain: Bridging the Gap Between LLM Agents and Clinical Practice with Interactive Sequence Jie Liu, Wenxuan Wang, Zizhan Ma, Guolin Huang, Su Yihang, Kao-Jung Chang, Haoliang Li, Linlin Shen, Michael Lyu, Wenting Chen
CVPRW 2025 NTIRE 2025 Challenge on Image Super-Resolution (x4): Methods and Results Zheng Chen, Kai Liu, Jue Gong, Jingkai Wang, Lei Sun, Zongwei Wu, Radu Timofte, Yulun Zhang, Xiangyu Kong, Xiaoxuan Yu, Hyunhee Park, Suejin Han, Hakjae Jeon, Dafeng Zhang, Hyung-Ju Chun, Donghun Ryou, Inju Ha, Bohyung Han, Lu Zhao, Yuyi Zhang, Pengyu Yan, Jiawei Hu, Pengwei Liu, Fengjun Guo, Hongyuan Yu, Pufan Xu, Zhijuan Huang, Shuyuan Cui, Peng Guo, Jiahui Liu, Dongkai Zhang, Heng Zhang, Huiyuan Fu, Huadong Ma, Yanhui Guo, Sisi Tian, Xin Li, Jinwen Liang, Jie Liu, Jie Tang, Gangshan Wu, Zeyu Xiao, Zhuoyuan Li, Yinxiang Zhang, Wenxuan Cai, Vijayalaxmi Ashok Aralikatti, Nikhil Akalwadi, G. Gyaneshwar Rao, Chaitra Desai, Ramesh Ashok Tabib, Uma Mudenagudi, Marcos V. Conde, Alejandro Merino, Bruno Longarela, Javier Abad, Weijun Yuan, Zhan Li, Zhanglu Chen, Boyang Yao, Aagam Jain, Milan Kumar Singh, Ankit Kumar, Shubh Kawa, Divyavardhan Singh, Anjali Sarvaiya, Kishor P. Upla, Raghavendra Ramachandra, Chia-Ming Lee, Yu-Fan Lin, Chih-Chung Hsu, Risheek V. Hiremath, Palani Yashaswini, Yuxuan Jiang, Qiang Zhu, Siyue Teng, Fan Zhang, Shuyuan Zhu, Bing Zeng, David Bull, Jingwei Liao, Yuqing Yang, Wenda Shao, Junyi Zhao, Qisheng Xu, Kele Xu, Sunder Ali Khowaja, Ik Hyun Lee, Snehal Singh Tomar, Rajarshi Ray, Klaus Mueller, Sachin Chaudhary, Surya Vashisth, Akshay Dudhane, Praful Hambarde, Satya Naryan Tazi, Prashant W. Patil, Santosh Kumar Vipparthi, Subrahmanyam Murala, Bilel Benjdira, Anas M. Ali, Wadii Boulila, Zahra Moammeri, Ahmad Mahmoudi-Aznaveh, Ali Karbasi, Hossein Motamednia, Liangyan Li, Guanhua Zhao, Kevin Le, Yimo Ning, Haoxuan Huang, Jun Chen
ICML 2025 PEINR: A Physics-Enhanced Implicit Neural Representation for High-Fidelity Flow Field Reconstruction Liming Shen, Liang Deng, Chongke Bi, Yu Wang, Xinhai Chen, Yueqing Wang, Jie Liu
ICML 2025 Probabilistic Interactive 3D Segmentation with Hierarchical Neural Processes Jie Liu, Pan Zhou, Zehao Xiao, Jiayi Shen, Wenzhe Yin, Jan-Jakob Sonke, Efstratios Gavves
ICCV 2025 Probabilistic Prototype Calibration of Vision-Language Models for Generalized Few-Shot Semantic Segmentation Jie Liu, Jiayi Shen, Pan Zhou, Jan-Jakob Sonke, Efstratios Gavves
CVPR 2025 Q-PART: Quasi-Periodic Adaptive Regression with Test-Time Training for Pediatric Left Ventricular Ejection Fraction Regression Jie Liu, Tiexin Qin, Hui Liu, Yilei Shi, Lichao Mou, Xiao Xiang Zhu, Shiqi Wang, Haoliang Li
NeurIPS 2025 Segment Policy Optimization: Effective Segment-Level Credit Assignment in RL for Large Language Models Yiran Guo, Lijie Xu, Jie Liu, Ye Dan, Shuang Qiu
ICCV 2025 Test-Time Adaptation for Foundation Medical Segmentation Model Without Parametric Updates Kecheng Chen, Xinyu Luo, Tiexin Qin, Jie Liu, Hui Liu, Victor Ho Fun Lee, Hong Yan, Haoliang Li
NeurIPS 2025 UGM2N: An Unsupervised and Generalizable Mesh Movement Network via M-Uniform Loss Zhichao Wang, Xinhai Chen, Qinglin Wang, Xiang Gao, Qingyang Zhang, Menghan Jia, Xiang Zhang, Jie Liu
CVPR 2025 Vision-Language Gradient Descent-Driven All-in-One Deep Unfolding Networks Haijin Zeng, Xiangming Wang, Yongyong Chen, Jingyong Su, Jie Liu
AAAI 2024 A Perspective of Q-Value Estimation on Offline-to-Online Reinforcement Learning Yinmin Zhang, Jie Liu, Chuming Li, Yazhe Niu, Yaodong Yang, Yu Liu, Wanli Ouyang
CVPR 2024 AlignMiF: Geometry-Aligned Multimodal Implicit Field for LiDAR-Camera Joint Synthesis Tang Tao, Guangrun Wang, Yixing Lao, Peng Chen, Jie Liu, Liang Lin, Kaicheng Yu, Xiaodan Liang
ECCV 2024 Click Prompt Learning with Optimal Transport for Interactive Segmentation Jie Liu, Haochen Wang, Wenzhe Yin, Jan-Jakob Sonke, Efstratios Gavves
NeurIPS 2024 DDK: Distilling Domain Knowledge for Efficient Large Language Models Jiaheng Liu, Chenchen Zhang, Jinyang Guo, Yuanxing Zhang, Haoran Que, Ken Deng, Zhiqi Bai, Jie Liu, Ge Zhang, Jiakai Wang, Yanan Wu, Congnan Liu, Jiamang Wang, Lin Qu, Wenbo Su, Bo Zheng
UAI 2024 Domain Adaptation with Cauchy-Schwarz Divergence Wenzhe Yin, Shujian Yu, Yicong Lin, Jie Liu, Jan-Jakob Sonke, Efstratios Gavves
ECCV 2024 GTPT: Group-Based Token Pruning Transformer for Efficient Human Pose Estimation Haonan Wang, Jie Liu, Jie Tang, Gangshan Wu, Bo Xu, Yanbing Chou, Yong Wang
AAAI 2024 Hierarchical Aligned Multimodal Learning for NER on Tweet Posts Peipei Liu, Hong Li, Yimo Ren, Jie Liu, Shuaizong Si, Hongsong Zhu, Limin Sun
AAAI 2024 LF-ViT: Reducing Spatial Redundancy in Vision Transformer for Efficient Image Recognition Youbing Hu, Yun Cheng, Anqi Lu, Zhiqiang Cao, Dawei Wei, Jie Liu, Zhijun Li
TMLR 2024 MaskMA: Towards Zero-Shot Multi-Agent Decision Making with Mask-Based Collaborative Learning Jie Liu, Yinmin Zhang, Chuming Li, Zhiyuan You, Zhanhui Zhou, Chao Yang, Yaodong Yang, Yu Liu, Wanli Ouyang
AAAI 2024 Sketch and Refine: Towards Fast and Accurate Lane Detection Chao Chen, Jie Liu, Chang Zhou, Jie Tang, Gangshan Wu
AAAI 2024 THGFormer: Time-Aware Hypergraph Learning for Multimodal Social Media Popularity Prediction (Student Abstract) Jienan Zhang, Jie Liu, Zhangtao Cheng, Xovee Xu, Fang Liu, Ting Zhong, Kunpeng Zhang
CVPRW 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, Keji He, Chao Fan, Heng Zhang, Xiaolin Zhang, Xuanwu Yin, Kunlong Zuo, Bohao Liao, Peizhe Xia, Long Peng, Zhibo Du, Xin Di, Wangkai Li, Yang Wang, Wei Zhai, Renjing Pei, Jiaming Guo, Songcen Xu, Yang Cao, Zhengjun Zha, Yan Wang, Yi Liu, Qing Wang, Gang Zhang, Liou Zhang, Shijie Zhao, Long Sun, Jinshan Pan, Jiangxin Dong, Jinhui Tang, Xin Liu, Min Yan, Qian Wang, Menghan Zhou, Yiqiang Yan, Yixuan Liu, Wensong Chan, Dehua Tang, Dong Zhou, Li Wang, Lu Tian, Emad Barsoum, Bohan Jia, Junbo Qiao, Yunshuai Zhou, Yun Zhang, Wei Li, Shaohui Lin, Shenglong Zhou, Binbin Chen, Jincheng Liao, Suiyi Zhao, Zhao Zhang, Bo Wang, Yan Luo, Yanyan Wei, Feng Li, Mingshen Wang, Yawei Li, Jinhan Guan, Dehua Hu, Jiawei Yu, Qisheng Xu, Tao Sun, Long Lan, Kele Xu, Xin Lin, Jingtong Yue, Lehan Yang, Shiyi Du, Lu Qi, Chao Ren, Zeyu Han, Yuhan Wang, Chaolin Chen, Haobo Li, Mingjun Zheng, Zhongbao Yang, Lianhong Song, Xingzhuo Yan, Minghan Fu, Jingyi Zhang, Baiang Li, Qi Zhu, Xiaogang Xu, Dan Guo, Chunle Guo, Jiadi Chen, Huanhuan Long, Chunjiang Duanmu, Xiaoyan Lei, Jie Liu, Weilin Jia, Weifeng Cao, Wenlong Zhang, Yanyu Mao, Ruilong Guo, Nihao Zhang, Manoj Pandey, Maksym Chernozhukov, Giang Le, Shuli Cheng, Hongyuan Wang, Ziyan Wei, Qingting Tang, Liejun Wang, Yongming Li, Yanhui Guo, Hao Xu, Akram Khatami-Rizi, Ahmad Mahmoudi-Aznaveh, Chih-Chung Hsu, Chia-Ming Lee, Yi-Shiuan Chou, Amogh Joshi, Nikhil Akalwadi, Sampada Malagi, Palani Yashaswini, Chaitra Desai, Ramesh Ashok Tabib, Ujwala Patil, Uma Mudenagudi
NeurIPS 2024 Weak-to-Strong Search: Align Large Language Models via Searching over Small Language Models Zhanhui Zhou, Zhixuan Liu, Jie Liu, Zhichen Dong, Chao Yang, Yu Qiao
AAAI 2023 ACE: Cooperative Multi-Agent Q-Learning with Bidirectional Action-Dependency Chuming Li, Jie Liu, Yinmin Zhang, Yuhong Wei, Yazhe Niu, Yaodong Yang, Yu Liu, Wanli Ouyang
NeurIPS 2023 AbdomenAtlas-8k: Annotating 8,000 CT Volumes for Multi-Organ Segmentation in Three Weeks Chongyu Qu, Tiezheng Zhang, Hualin Qiao, Jie Liu, Yucheng Tang, Alan L. Yuille, Zongwei Zhou
CVPR 2023 Adjustment and Alignment for Unbiased Open Set Domain Adaptation Wuyang Li, Jie Liu, Bo Han, Yixuan Yuan
ICCV 2023 Animal3D: A Comprehensive Dataset of 3D Animal Pose and Shape Jiacong Xu, Yi Zhang, Jiawei Peng, Wufei Ma, Artur Jesslen, Pengliang Ji, Qixin Hu, Jiehua Zhang, Qihao Liu, Jiahao Wang, Wei Ji, Chen Wang, Xiaoding Yuan, Prakhar Kaushik, Guofeng Zhang, Jie Liu, Yushan Xie, Yawen Cui, Alan Yuille, Adam Kortylewski
ICCV 2023 CLIP-Driven Universal Model for Organ Segmentation and Tumor Detection Jie Liu, Yixiao Zhang, Jie-Neng Chen, Junfei Xiao, Yongyi Lu, Bennett A Landman, Yixuan Yuan, Alan Yuille, Yucheng Tang, Zongwei Zhou
AAAI 2023 From Coarse to Fine: Hierarchical Pixel Integration for Lightweight Image Super-Resolution Jie Liu, Chao Chen, Jie Tang, Gangshan Wu
ICCVW 2023 Memory-Augmented Variational Adaptation for Online Few-Shot Segmentation Jie Liu, Yingjun Du, Zehao Xiao, Cees G. M. Snoek, Jan-Jakob Sonke, Efstratios Gavves
ICCV 2023 Robust Object Modeling for Visual Tracking Yidong Cai, Jie Liu, Jie Tang, Gangshan Wu
IJCAI 2023 Video Frame Interpolation with Densely Queried Bilateral Correlation Chang Zhou, Jie Liu, Jie Tang, Gangshan Wu
CVPR 2022 Dynamic Prototype Convolution Network for Few-Shot Semantic Segmentation Jie Liu, Yanqi Bao, Guo-Sen Xie, Huan Xiong, Jan-Jakob Sonke, Efstratios Gavves
ECCVW 2022 Efficient and Accurate Quantized Image Super-Resolution on Mobile NPUs, Mobile AI & AIM 2022 Challenge: Report Andrey Ignatov, Radu Timofte, Maurizio Denna, Abdel Younes, Ganzorig Gankhuyag, Jingang Huh, Myeong Kyun Kim, Kihwan Yoon, Hyeon-Cheol Moon, Seungho Lee, Yoonsik Choe, Jinwoo Jeong, Sungjei Kim, Maciej Smyl, Tomasz Latkowski, Pawel Kubik, Michal Sokolski, Yujie Ma, Jiahao Chao, Zhou Zhou, Hongfan Gao, Zhengfeng Yang, Zhenbing Zeng, Zhengyang Zhuge, Chenghua Li, Dan Zhu, Mengdi Sun, Ran Duan, Yan Gao, Lingshun Kong, Long Sun, Xiang Li, Xingdong Zhang, Jiawei Zhang, Yaqi Wu, Jinshan Pan, Gaocheng Yu, Jin Zhang, Feng Zhang, Zhe Ma, Hongbin Wang, Hojin Cho, Steve Kim, Huaen Li, Yanbo Ma, Ziwei Luo, Youwei Li, Lei Yu, Zhihong Wen, Qi Wu, Haoqiang Fan, Shuaicheng Liu, Lize Zhang, Zhikai Zong, Jeremy Kwon, Junxi Zhang, Mengyuan Li, Nianxiang Fu, Guanchen Ding, Han Zhu, Zhenzhong Chen, Gen Li, Yuanfan Zhang, Lei Sun, Dafeng Zhang, Neo Yang, Fitz Liu, Jerry Zhao, Mustafa Ayazoglu, Bahri Batuhan Bilecen, Shota Hirose, Kasidis Arunruangsirilert, Luo Ao, Ho Chun Leung, Andrew Wei, Jie Liu, Qiang Liu, Dahai Yu, Ao Li, Lei Luo, Ce Zhu, Seongmin Hong, Dongwon Park, Joonhee Lee, Byeong Hyun Lee, Seunggyu Lee, Se Young Chun, Ruiyuan He, Xuhao Jiang, Haihang Ruan, Xinjian Zhang, Jing Liu, Garas Gendy, Nabil Sabor, Jingchao Hou, Guanghui He
CVPRW 2022 Fast and Memory-Efficient Network Towards Efficient Image Super-Resolution Zongcai Du, Ding Liu, Jie Liu, Jie Tang, Gangshan Wu, Lean Fu
AAAI 2022 MMAN: Metapath Based Multi-Level Graph Attention Networks for Heterogeneous Network Embedding (Student Abstract) Jie Liu, Lingyun Song, Li Gao, Xuequn Shang
AAAI 2022 Multi-Scale Distillation from Multiple Graph Neural Networks Chunhai Zhang, Jie Liu, Kai Dang, Wenzheng Zhang
CVPRW 2022 NTIRE 2022 Challenge on Efficient Super-Resolution: Methods and Results Yawei Li, Kai Zhang, Radu Timofte, Luc Van Gool, Fangyuan Kong, Mingxi Li, Songwei Liu, Zongcai Du, Ding Liu, Chenhui Zhou, Jingyi Chen, Qingrui Han, Zheyuan Li, Yingqi Liu, Xiangyu Chen, Haoming Cai, Yu Qiao, Chao Dong, Long Sun, Jinshan Pan, Yi Zhu, Zhikai Zong, Xiaoxiao Liu, Zheng Hui, Tao Yang, Peiran Ren, Xuansong Xie, Xian-Sheng Hua, Yanbo Wang, Xiaozhong Ji, Chuming Lin, Donghao Luo, Ying Tai, Chengjie Wang, Zhizhong Zhang, Yuan Xie, Shen Cheng, Ziwei Luo, Lei Yu, Zhihong Wen, Qi Wu, Youwei Li, Haoqiang Fan, Jian Sun, Shuaicheng Liu, Yuanfei Huang, Meiguang Jin, Hua Huang, Jing Liu, Xinjian Zhang, Yan Wang, Lingshun Long, Gen Li, Yuanfan Zhang, Zuowei Cao, Lei Sun, Panaetov Alexander, Yucong Wang, Minjie Cai, Li Wang, Lu Tian, Zheyuan Wang, Hongbing Ma, Jie Liu, Chao Chen, Yidong Cai, Jie Tang, Gangshan Wu, Weiran Wang, Shirui Huang, Honglei Lu, Huan Liu, Keyan Wang, Jun Chen, Shi Chen, Yuchun Miao, Zimo Huang, Lefei Zhang, Mustafa Ayazoglu, Wei Xiong, Chengyi Xiong, Fei Wang, Hao Li, Ruimian Wen, Zhijing Yang, Wenbin Zou, Weixin Zheng, Tian Ye, Yuncheng Zhang, Xiangzhen Kong, Aditya Arora, Syed Waqas Zamir, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Dandan Gao, Dengwen Zhou, Qian Ning, Jingzhu Tang, Han Huang, Yufei Wang, Zhangheng Peng, Haobo Li, Wenxue Guan, Shenghua Gong, Xin Li, Jun Liu, Wanjun Wang, Kun Zeng, Hanjiang Lin, Xinyu Chen, Jinsheng Fang
ICLR 2022 Promoting Saliency from Depth: Deep Unsupervised RGB-D Saliency Detection Wei Ji, Jingjing Li, Qi Bi, Chuan Guo, Jie Liu, Li Cheng
CVPR 2022 SimT: Handling Open-Set Noise for Domain Adaptive Semantic Segmentation Xiaoqing Guo, Jie Liu, Tongliang Liu, Yixuan Yuan
ECCV 2022 Unknown-Oriented Learning for Open Set Domain Adaptation Jie Liu, Xiaoqing Guo, Yixuan Yuan
CVPRW 2021 Anchor-Based Plain Net for Mobile Image Super-Resolution Zongcai Du, Jie Liu, Jie Tang, Gangshan Wu
AAAI 2021 Bidirectional Machine Reading Comprehension for Aspect Sentiment Triplet Extraction Shaowei Chen, Yu Wang, Jie Liu, Yuelin Wang
ICCV 2021 Dynamic Context-Sensitive Filtering Network for Video Salient Object Detection Miao Zhang, Jie Liu, Yifei Wang, Yongri Piao, Shunyu Yao, Wei Ji, Jingjing Li, Huchuan Lu, Zhongxuan Luo
ICCV 2021 Few-Shot Semantic Segmentation with Cyclic Memory Network Guo-Sen Xie, Huan Xiong, Jie Liu, Yazhou Yao, Ling Shao
CVPR 2021 Inception Convolution with Efficient Dilation Search Jie Liu, Chuming Li, Feng Liang, Chen Lin, Ming Sun, Junjie Yan, Wanli Ouyang, Dong Xu
CVPR 2021 Scale-Aware Graph Neural Network for Few-Shot Semantic Segmentation Guo-Sen Xie, Jie Liu, Huan Xiong, Ling Shao
ECCVW 2020 AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results Kai Zhang, Martin Danelljan, Yawei Li, Radu Timofte, Jie Liu, Jie Tang, Gangshan Wu, Yu Zhu, Xiangyu He, Wenjie Xu, Chenghua Li, Cong Leng, Jian Cheng, Guangyang Wu, Wenyi Wang, Xiaohong Liu, Hengyuan Zhao, Xiangtao Kong, Jingwen He, Yu Qiao, Chao Dong, Xiaotong Luo, Liang Chen, Jiangtao Zhang, Maitreya Suin, Kuldeep Purohit, A. N. Rajagopalan, Xiaochuan Li, Zhiqiang Lang, Jiangtao Nie, Wei Wei, Lei Zhang, Abdul Muqeet, Jiwon Hwang, Subin Yang, Jung Heum Kang, Sung-Ho Bae, Yongwoo Kim, Yanyun Qu, Geun-Woo Jeon, Jun-Ho Choi, Jun-Hyuk Kim, Jong-Seok Lee, Steven Marty, Éric Marty, Dongliang Xiong, Siang Chen, Lin Zha, Jiande Jiang, Xinbo Gao, Wen Lu, Haicheng Wang, Vineeth Bhaskara, Alex Levinshtein, Stavros Tsogkas, Allan D. Jepson, Xiangzhen Kong, Tongtong Zhao, Shanshan Zhao, P. S Hrishikesh, Densen Puthussery, C. V. Jiji, Nan Nan, Shuai Liu, Jie Cai, Zibo Meng, Jiaming Ding, Chiu Man Ho, Xuehui Wang, Qiong Yan, Yuzhi Zhao, Long Chen, Long Sun, Wenhao Wang, Zhenbing Liu, Rushi Lan, Rao Muhammad Umer, Christian Micheloni
ECCV 2020 Asymmetric Two-Stream Architecture for Accurate RGB-D Saliency Detection Miao Zhang, Sun Xiao Fei, Jie Liu, Shuang Xu, Yongri Piao, Huchuan Lu
IJCAI 2020 Attention as Relation: Learning Supervised Multi-Head Self-Attention for Relation Extraction Jie Liu, Shaowei Chen, Bingquan Wang, Jiaxin Zhang, Na Li, Tong Xu
IJCAI 2020 Dress like an Internet Celebrity: Fashion Retrieval in Videos Hongrui Zhao, Jin Yu, Yanan Li, Donghui Wang, Jie Liu, Hongxia Yang, Fei Wu
ECCVW 2020 Residual Feature Distillation Network for Lightweight Image Super-Resolution Jie Liu, Jie Tang, Gangshan Wu
AAAI 2020 Understanding and Improving Proximity Graph Based Maximum Inner Product Search Jie Liu, Xiao Yan, Xinyan Dai, Zhirong Li, James Cheng, Ming-Chang Yang
CVPRW 2019 NTIRE 2019 Challenge on Image Enhancement: Methods and Results Andrey Ignatov, Radu Timofte, Xiaochao Qu, Xingguang Zhou, Ting Liu, Pengfei Wan, Syed Waqas Zamir, Aditya Arora, Salman H. Khan, Fahad Shahbaz Khan, Ling Shao, Dongwon Park, Se Young Chun, Pablo Navarrete Michelini, Hanwen Liu, Dan Zhu, Zhiwei Zhong, Xianming Liu, Junjun Jiang, Debin Zhao, Muhammad Haris, Kazutoshi Akita, Tomoki Yoshida, Greg Shakhnarovich, Norimichi Ukita, Jie Liu, Cheolkon Jung, Raimondo Schettini, Simone Bianco, Claudio Cusano, Flavio Piccoli, Pengju Liu, Kai Zhang, Jingdong Liu, Jiye Liu, Hongzhi Zhang, Wangmeng Zuo, Nelson Chong Ngee Bow, Lai-Kuan Wong, John See, Jinghui Qin, Lishan Huang, Yukai Shi, Pengxu Wei, Wushao Wen, Liang Lin, Zheng Hui, Xiumei Wang, Xinbo Gao, Kanti Kumari, Vikas Kumar Anand, Mahendra Khened, Ganapathy Krishnamurthi
IJCAI 2019 Network Embedding with Dual Generation Tasks Jie Liu, Na Li, Zhicheng He
ECML-PKDD 2019 Single-Path NAS: Designing Hardware-Efficient ConvNets in Less than 4 Hours Dimitrios Stamoulis, Ruizhou Ding, Di Wang, Dimitrios Lymberopoulos, Bodhi Priyantha, Jie Liu, Diana Marculescu
AAAI 2018 A Framework for Multistream Regression with Direct Density Ratio Estimation Ahsanul Haque, Hemeng Tao, Swarup Chandra, Jie Liu, Latifur Khan
IJCAI 2018 Hashtag2Vec: Learning Hashtag Representation with Relational Hierarchical Embedding Model Jie Liu, Zhicheng He, Yalou Huang
ECCVW 2018 Multiple Connected Residual Network for Image Enhancement on Smartphones Jie Liu, Cheolkon Jung
CVPRW 2018 Non-Contact Heart Rate Monitoring by Combining Convolutional Neural Network Skin Detection and Remote Photoplethysmography via a Low-Cost Camera Chuanxiang Tang, Jiwu Lu, Jie Liu
ECCVW 2018 PIRM Challenge on Perceptual Image Enhancement on Smartphones: Report Andrey Ignatov, Radu Timofte, Thang Van Vu, Tung Minh Luu, Trung X. Pham, Cao Van Nguyen, Yongwoo Kim, Jae-Seok Choi, Munchurl Kim, Jie Huang, Jiewen Ran, Chen Xing, Xingguang Zhou, Pengfei Zhu, Mingrui Geng, Yawei Li, Eirikur Agustsson, Shuhang Gu, Luc Van Gool, Etienne de Stoutz, Nikolay Kobyshev, Kehui Nie, Yan Zhao, Gen Li, Tong Tong, Qinquan Gao, Hanwen Liu, Pablo Navarrete Michelini, Dan Zhu, Hu Fengshuo, Zheng Hui, Xiumei Wang, Lirui Deng, Rang Meng, Jinghui Qin, Yukai Shi, Wushao Wen, Liang Lin, Ruicheng Feng, Shixiang Wu, Chao Dong, Yu Qiao, Subeesh Vasu, Thekke Madam Nimisha, Praveen Kandula, A. N. Rajagopalan, Jie Liu, Cheolkon Jung
UAI 2018 Stochastic Learning for Sparse Discrete Markov Random Fields with Controlled Gradient Approximation Error Sinong Geng, Zhaobin Kuang, Jie Liu, Stephen J. Wright, David Page
ACML 2017 PHD: A Probabilistic Model of Hybrid Deep Collaborative Filtering for Recommender Systems Jie Liu, Dong Wang, Yue Ding
ICML 2017 SARAH: A Novel Method for Machine Learning Problems Using Stochastic Recursive Gradient Lam M. Nguyen, Jie Liu, Katya Scheinberg, Martin Takáč
AAAI 2017 Topic Aware Neural Response Generation Chen Xing, Wei Wu, Yu Wu, Jie Liu, Yalou Huang, Ming Zhou, Wei-Ying Ma
AAAI 2016 Hashtag-Based Sub-Event Discovery Using Mutually Generative LDA in Twitter Chen Xing, Yuan Wang, Jie Liu, Yalou Huang, Wei-Ying Ma
JMLR 2016 Structure-Leveraged Methods in Breast Cancer Risk Prediction Jun Fan, Yirong Wu, Ming Yuan, David Page, Jie Liu, Irene M. Ong, Peggy Peissig, Elizabeth Burnside
AISTATS 2014 Learning Heterogeneous Hidden Markov Random Fields Jie Liu, Chunming Zhang, Elizabeth S. Burnside, David Page
ICML 2014 Multiple Testing Under Dependence via Semiparametric Graphical Models Jie Liu, Chunming Zhang, Elizabeth Burnside, David Page
NeurIPS 2013 Bayesian Estimation of Latently-Grouped Parameters in Undirected Graphical Models Jie Liu, David Page
UAI 2012 Graphical-Model Based Multiple Testing Under Dependence, with Applications to Genome-Wide Association Studies Jie Liu, Chunming Zhang, Catherine A. McCarty, Peggy L. Peissig, Elizabeth S. Burnside, David Page
AISTATS 2012 High-Dimensional Structured Feature Screening Using Binary Markov Random Fields Jie Liu, Chunming Zhang, Catherine Mccarty, Peggy Peissig, Elizabeth Burnside, David Page