Liu, Xin

164 publications

AAAI 2025 A Comprehensive Overhaul of Multimodal Assistant with Small Language Models Minjie Zhu, Yichen Zhu, Ning Liu, Xin Liu, Zhiyuan Xu, Chaomin Shen, Yaxin Peng

JMLR 2025 A Decentralized Proximal Gradient Tracking Algorithm for Composite Optimization on Riemannian Manifolds Lei Wang, Le Bao, Xin Liu

MLJ 2025 An Empirical Study on Impact of Label Noise on Synthetic Tabular Data Generation Jeonghoon Kim, Chao Huang, Xin Liu

ICML 2025 An Optimistic Algorithm for Online CMDPS with Anytime Adversarial Constraints Jiahui Zhu, Kihyun Yu, Dabeen Lee, Xin Liu, Honghao Wei

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 CATANet: Efficient Content-Aware Token Aggregation for Lightweight Image Super-Resolution Xin Liu, Jie Liu, Jie Tang, Gangshan Wu

AAAI 2025 CohEx: A Generalized Framework for Cohort Explanation Fanyu Meng, Xin Liu, Zhaodan Kong, Xin Chen

ICCV 2025 DADM: Dual Alignment of Domain and Modality for Face Anti-Spoofing Jingyi Yang, Xun Lin, Zitong Yu, Liepiao Zhang, Xin Liu, Hui Li, Xiaochen Yuan, Xiaochun Cao

NeurIPS 2025 DAPO: An Open-Source LLM Reinforcement Learning System at Scale Qiying Yu, Zheng Zhang, Ruofei Zhu, Yufeng Yuan, Xiaochen Zuo, YuYue, Weinan Dai, Tiantian Fan, Gaohong Liu, Juncai Liu, LingJun Liu, Xin Liu, Haibin Lin, Zhiqi Lin, Bole Ma, Guangming Sheng, Yuxuan Tong, Chi Zhang, Mofan Zhang, Ru Zhang, Wang Zhang, Hang Zhu, Jinhua Zhu, Jiaze Chen, Jiangjie Chen, Chengyi Wang, Hongli Yu, Yuxuan Song, Xiangpeng Wei, Hao Zhou, Jingjing Liu, Wei-Ying Ma, Ya-Qin Zhang, Lin Yan, Yonghui Wu, Mingxuan Wang

NeurIPS 2025 DUO: No Compromise to Accuracy Degradation Jinda Jia, Cong Xie, Hanlin Lu, Fanjiang Ye, Hao Feng, Daoce Wang, Haibin Lin, Zhi Zhang, Xin Liu

IJCAI 2025 DUQ: Dual Uncertainty Quantification for Text-Video Retrieval Xin Liu, Shibai Yin, Jun Wang, Jiaxin Zhu, Xingyang Wang, Yee-Hong Yang

ICML 2025 Discriminative Finetuning of Generative Large Language Models Without Reward Models and Human Preference Data Siqi Guo, Ilgee Hong, Vicente Balmaseda, Changlong Yu, Liang Qiu, Xin Liu, Haoming Jiang, Tuo Zhao, Tianbao Yang

CVPR 2025 Distribution Prototype Diffusion Learning for Open-Set Supervised Anomaly Detection Fuyun Wang, Tong Zhang, Yuanzhi Wang, Yide Qiu, Xin Liu, Xu Guo, Zhen Cui

NeurIPS 2025 Enhancing Safety in Reinforcement Learning with Human Feedback via Rectified Policy Optimization Xiyue Peng, Hengquan Guo, Jiawei Zhang, Dongqing Zou, Ziyu Shao, Honghao Wei, Xin Liu

AAAI 2025 Exploring the Better Multimodal Synergy Strategy for Vision-Language Models Xiaotian Yin, Xin Liu, Si Chen, Yuan Wang, Yuwen Pan, Tianzhu Zhang

CVPR 2025 FSBench: A Figure Skating Benchmark for Advancing Artistic Sports Understanding Rong Gao, Xin Liu, Zhuozhao Hu, Bohao Xing, Baiqiang Xia, Zitong Yu, Heikki Kälviäinen

CoRL 2025 FastUMI: A Scalable and Hardware-Independent Universal Manipulation Interface with Dataset Zhaxizhuom Zhaxizhuoma, Kehui Liu, Chuyue Guan, Zhongjie Jia, Ziniu Wu, Xin Liu, Tianyu Wang, Shuai Liang, Pengan Chen, Pingrui Zhang, Haoming Song, Delin Qu, Dong Wang, Zhigang Wang, Nieqing Cao, Yan Ding, Bin Zhao, Xuelong Li

ICLR 2025 GeSubNet: Gene Interaction Inference for Disease Subtype Network Generation Ziwei Yang, Zheng Chen, Xin Liu, Rikuto Kotoge, Peng Chen, Yasuko Matsubara, Yasushi Sakurai, Jimeng Sun

AISTATS 2025 HACSurv: A Hierarchical Copula-Based Approach for Survival Analysis with Dependent Competing Risks Xin Liu, Weijia Zhang, Min-Ling Zhang

ECML-PKDD 2025 How Useful Is Graph Pooling for Node-Level Tasks? Yijun Duan, Xin Liu, Steven J. Lynden, Akiyoshi Matono, Qiang Ma

ECML-PKDD 2025 Knowledge Distillation for Job Title Prediction and Project Recommendation in Open Source Communities Xin Liu, Hang Su, Xuesong Lu

NeurIPS 2025 Learn and Ensemble Bridge Adapters for Multi-Domain Task Incremental Learning Ziqi Gu, Chunyan Xu, Wenxuan Fang, Xin Liu, Yide Qiu, Zhen Cui

ICLR 2025 Minimax Optimal Two-Stage Algorithm for Moment Estimation Under Covariate Shift Zhen Zhang, Xin Liu, Shaoli Wang, Jiaye Teng

CVPR 2025 No Pains, More Gains: Recycling Sub-Salient Patches for Efficient High-Resolution Image Recognition Rong Qin, Xin Liu, Xingyu Liu, Jiaxuan Liu, Jinglei Shi, Liang Lin, Jufeng Yang

IJCAI 2025 No Regret Reinforcement Learning Algorithms for Online Scheduling with Multi-Stage Tasks Yongxin Xu, Hengquan Guo, Ziyu Shao, Xin Liu

AISTATS 2025 On Preference-Based Stochastic Linear Contextual Bandits with Knapsacks Xin Liu

ICLR 2025 On Stochastic Contextual Bandits with Knapsacks in Small Budget Regime Hengquan Guo, Xin Liu

IJCAI 2025 On the Power of Optimism in Constrained Online Convex Optimization Haobo Zhang, Hengquan Guo, Xin Liu

CVPR 2025 Period-LLM: Extending the Periodic Capability of Multimodal Large Language Model Yuting Zhang, Hao Lu, Qingyong Hu, Yin Wang, Kaishen Yuan, Xin Liu, Kaishun Wu

NeurIPS 2025 RADAR: Benchmarking Language Models on Imperfect Tabular Data Ken Gu, Zhihan Zhang, Kate Lin, Yuwei Zhang, Akshay Paruchuri, Hong Yu, Mehran Kazemi, Kumar Ayush, A. Ali Heydari, Maxwell A Xu, Yun Liu, Ming-Zher Poh, Yuzhe Yang, Mark Malhotra, Shwetak Patel, Hamid Palangi, Xuhai Xu, Daniel McDuff, Tim Althoff, Xin Liu

AAAI 2025 Re-Attentional Controllable Video Diffusion Editing Yuanzhi Wang, Yong Li, Mengyi Liu, Xiaoya Zhang, Xin Liu, Zhen Cui, Antoni B. Chan

CVPR 2025 ReCon: Enhancing True Correspondence Discrimination Through Relation Consistency for Robust Noisy Correspondence Learning Quanxing Zha, Xin Liu, Shu-Juan Peng, Yiu-ming Cheung, Xing Xu, Nannan Wang

CVPR 2025 STDD: Spatio-Temporal Dual Diffusion for Video Generation Shuaizhen Yao, Xiaoya Zhang, Xin Liu, Mengyi Liu, Zhen Cui

ICLR 2025 Scaling Wearable Foundation Models Girish Narayanswamy, Xin Liu, Kumar Ayush, Yuzhe Yang, Xuhai Xu, Shun Liao, Jake Garrison, Shyam A. Tailor, Jacob Sunshine, Yun Liu, Tim Althoff, Shrikanth Narayanan, Pushmeet Kohli, Jiening Zhan, Mark Malhotra, Shwetak Patel, Samy Abdel-Ghaffar, Daniel McDuff

AAAI 2025 Scene Graph-Grounded Image Generation Fuyun Wang, Tong Zhang, Yuanzhi Wang, Xiaoya Zhang, Xin Liu, Zhen Cui

NeurIPS 2025 SensorLM: Learning the Language of Wearable Sensors Yuwei Zhang, Kumar Ayush, Siyuan Qiao, A. Ali Heydari, Girish Narayanswamy, Maxwell A Xu, Ahmed Metwally, Jinhua Xu, Jake Garrison, Xuhai Xu, Tim Althoff, Yun Liu, Pushmeet Kohli, Jiening Zhan, Mark Malhotra, Shwetak Patel, Cecilia Mascolo, Xin Liu, Daniel McDuff, Yuzhe Yang

ICML 2025 ShadowKV: KV Cache in Shadows for High-Throughput Long-Context LLM Inference Hanshi Sun, Li-Wen Chang, Wenlei Bao, Size Zheng, Ningxin Zheng, Xin Liu, Harry Dong, Yuejie Chi, Beidi Chen

NeurIPS 2025 SpecEM: Training-Free LLM Ensembling via Iterative Drafting, Verification, and Online Feedback Bo Lv, Nayu Liu, Chen Tang, Xin Liu, Yue Yu, Ping Luo

NeurIPS 2025 Think-RM: Enabling Long-Horizon Reasoning in Generative Reward Models Ilgee Hong, Changlong Yu, Liang Qiu, Weixiang Yan, Zhenghao Xu, Haoming Jiang, Qingru Zhang, Qin Lu, Xin Liu, Chao Zhang, Tuo Zhao

ICML 2025 Triple-Optimistic Learning for Stochastic Contextual Bandits with General Constraints Hengquan Guo, Lingkai Zu, Xin Liu

ICLR 2025 Unsupervised Zero-Shot Reinforcement Learning via Dual-Value Forward-Backward Representation Jingbo Sun, Songjun Tu, Qichao Zhang, Haoran Li, Xin Liu, Yaran Chen, Ke Chen, Dongbin Zhao

NeurIPS 2025 Videos Are Sample-Efficient Supervisions: Behavior Cloning from Videos via Latent Representations Xin Liu, Haoran Li, Dongbin Zhao

AAAI 2025 Zero-Shot Video Restoration and Enhancement Using Pre-Trained Image Diffusion Model Cong Cao, Huanjing Yue, Xin Liu, Jingyu Yang

WACV 2024 4k-Resolution Photo Exposure Correction at 125 FPS with ~8k Parameters Yijie Zhou, Chao Li, Jin Liang, Tianyi Xu, Xin Liu, Jun Xu

ECCVW 2024 ABAW7 Challenge: A Facial Affect Recognition Approach Based on Transformer Encoder and Multilayer Perceptron Xuxiong Liu, Kang Shen, Jun Yao, Boyan Wang, Yu Wang, Yujie Guan, Xin Liu, Gengchen Li, Liuwei An, Zishun Cui, Minrui Liu, Xiao Sun, Weijie Feng

ECCV 2024 AUFormer: Vision Transformers Are Parameter-Efficient Facial Action Unit Detectors Kaishen Yuan, Zitong Yu, Xin Liu, Weicheng Xie, Huanjing Yue, Jingyu Yang

JMLR 2024 Adam-Family Methods for Nonsmooth Optimization with Convergence Guarantees Nachuan Xiao, Xiaoyin Hu, Xin Liu, Kim-Chuan Toh

NeurIPS 2024 Adversarially Trained Weighted Actor-Critic for Safe Offline Reinforcement Learning Honghao Wei, Xiyue Peng, Arnob Ghosh, Xin Liu

ECML-PKDD 2024 Asymmetric Graph-Based Deep Reinforcement Learning for Portfolio Optimization Haoyu Sun, Xin Liu, Yuxuan Bian, Peng Zhu, Dawei Cheng, Yuqi Liang

WACV 2024 BigSmall: Efficient Multi-Task Learning for Disparate Spatial and Temporal Physiological Measurements Girish Narayanswamy, Yujia Liu, Yuzhe Yang, Chengqian Ma, Xin Liu, Daniel McDuff, Shwetak Patel

ECML-PKDD 2024 Code Summarization with Project-Specific Features Yu Wang, Xin Liu, Xuesong Lu, Aoying Zhou

ICMLW 2024 Cognitive Assessment of Language Models Daniel McDuff, David Munday, Xin Liu, Isaac Galatzer-Levy

NeurIPS 2024 Convergence Analysis of Split Federated Learning on Heterogeneous Data Pengchao Han, Chao Huang, Geng Tian, Ming Tang, Xin Liu

NeurIPSW 2024 Demographic Bias of Expert-Level Vision-Language Foundation Models in Medical Imaging Yuzhe Yang, Yujia Liu, Xin Liu, Wei Wu, Shwetak Patel

NeurIPSW 2024 Demographic Bias of Expert-Level Vision-Language Foundation Models in Medical Imaging Yuzhe Yang, Yujia Liu, Xin Liu, Avanti Gulhane, Domenico Mastrodicasa, Wei Wu, Edward J Wang, Dushyant Sahani, Shwetak Patel

ECCV 2024 DiffFAS: Face Anti-Spoofing via Generative Diffusion Models Xinxu Ge, Xin Liu, Zitong Yu, Jingang Shi, Chun Qi, Jie Li, Heikki Kälviäinen

AAAI 2024 EnColor: Improving Visual Accessibility with a Deep Encoder-Decoder Image Corrector for Color Vision Deficient Individuals Satyam Goyal, Kavya Sasikumar, Rohan Sheth, Akash Seelam, Taeyeong Choi, Xin Liu

JMLR 2024 Exploration, Exploitation, and Engagement in Multi-Armed Bandits with Abandonment Zixian Yang, Xin Liu, Lei Ying

CVPR 2024 FedUV: Uniformity and Variance for Heterogeneous Federated Learning Ha Min Son, Moon-Hyun Kim, Tai-Myoung Chung, Chao Huang, Xin Liu

ECML-PKDD 2024 Job Title Prediction as a Dual Task of Expertise Prediction in Open Source Software Xin Liu, Yu Wang, Qiwen Dong, Xuesong Lu

ICLR 2024 LitCab: Lightweight Language Model Calibration over Short- and Long-Form Responses Xin Liu, Muhammad Khalifa, Lu Wang

ECCV 2024 MM-SafetyBench: A Benchmark for Safety Evaluation of Multimodal Large Language Models Xin Liu, Yichen Zhu, Jindong Gu, Yunshi Lan, Chao Yang, Yu Qiao

WACV 2024 Motion Matters: Neural Motion Transfer for Better Camera Physiological Measurement Akshay Paruchuri, Xin Liu, Yulu Pan, Shwetak Patel, Daniel McDuff, Soumyadip Sengupta

WACV 2024 NVAutoNet: Fast and Accurate 360deg 3D Visual Perception for Self Driving Trung Pham, Mehran Maghoumi, Wanli Jiang, Bala Siva Sashank Jujjavarapu, Mehdi Sajjadi, Xin Liu, Hsuan-Chu Lin, Bor-Jeng Chen, Giang Truong, Chao Fang, Junghyun Kwon, Minwoo Park

ICLR 2024 Predicting Emergent Abilities with Infinite Resolution Evaluation Shengding Hu, Xin Liu, Xu Han, Xinrong Zhang, Chaoqun He, Weilin Zhao, Yankai Lin, Ning Ding, Zebin Ou, Guoyang Zeng, Zhiyuan Liu, Maosong Sun

MLJ 2024 Predicting Potential Real-Time Donations in YouTube Live Streaming Services via Continuous-Time Dynamic Graphs Ruidong Jin, Xin Liu, Tsuyoshi Murata

IJCAI 2024 Provable Acceleration of Nesterov's Accelerated Gradient Method over Heavy Ball Method in Training Over-Parameterized Neural Networks Xin Liu, Wei Tao, Wei Li, Dazhi Zhan, Jun Wang, Zhisong Pan

CVPRW 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, Hao Wei, Chenyang Ge, Jiangtao Lv, Long Sun, Jinshan Pan, Jiangxin Dong, Jinhui Tang, Menghan Zhou, Yiqiang Yan, Kihwan Yoon, Ganzorig Gankhuyag, Jae-Hyeon Lee, Ui-Jin Choi, Hyeon-Cheol Moon, Tae Hyun Jeong, Yoonmo Yang, Jae-Gon Kim, Jinwoo Jeong, Sunjei Kim, Xintao Qiu, Yuanbo Zhou, Kongxian Wu, Xinwei Dai, Hui Tang, Wei Deng, Qingquan Gao, Tong Tong, Long Peng, Jiaming Guo, Xin Di, Bohao Liao, Zhibo Du, Peize Xia, Renjing Pei, Yang Wang, Yang Cao, Zhengjun Zha, Bingnan Han, Hongyuan Yu, Zhuoyuan Wu, Cheng Wan, Yuqing Liu, Haodong Yu, Jizhe Li, Zhijuan Huang, Yuan Huang, Yajun Zou, Xianyu Guan, Qi Jia, Heng Zhang, Xuanwu Yin, Kunlong Zuo, Dongyang Zhang, Tianle Liu, Huaian Chen, Yi Jin

NeurIPS 2024 SDP4Bit: Toward 4-Bit Communication Quantization in Sharded Data Parallelism for LLM Training Jinda Jia, Cong Xie, Hanlin Lu, Daoce Wang, Hao Feng, Chengming Zhang, Baixi Sun, Haibin Lin, Zhi Zhang, Xin Liu, Dingwen Tao

AAAI 2024 Safe Reinforcement Learning with Instantaneous Constraints: The Role of Aggressive Exploration Honghao Wei, Xin Liu, Lei Ying

NeurIPS 2024 Safe and Efficient: A Primal-Dual Method for Offline Convex CMDPs Under Partial Data Coverage Haobo Zhang, Xiyue Peng, Honghao Wei, Xin Liu

IJCAI 2024 Safeguarding Fraud Detection from Attacks: A Robust Graph Learning Approach Jiasheng Wu, Xin Liu, Dawei Cheng, Yi Ouyang, Xian Wu, Yefeng Zheng

IJCAI 2024 Safety of Multimodal Large Language Models on Images and Text Xin Liu, Yichen Zhu, Yunshi Lan, Chao Yang, Yu Qiao

NeurIPS 2024 Shopping MMLU: A Massive Multi-Task Online Shopping Benchmark for Large Language Models Yilun Jin, Zheng Li, Chenwei Zhang, Tianyu Cao, Yifan Gao, Pratik Jayarao, Mao Li, Xin Liu, Ritesh Sarkhel, Xianfeng Tang, Haodong Wang, Zhengyang Wang, Wenju Xu, Jingfeng Yang, Qingyu Yin, Xian Li, Priyanka Nigam, Yi Xu, Kai Chen, Qiang Yang, Meng Jiang, Bing Yin

COLT 2024 Stochastic Constrained Contextual Bandits via Lyapunov Optimization Based Estimation to Decision Framework Hengquan Guo, Xin Liu

AAAI 2024 Task-Adaptive Prompted Transformer for Cross-Domain Few-Shot Learning Jiamin Wu, Xin Liu, Xiaotian Yin, Tianzhu Zhang, Yongdong 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

NeurIPSW 2024 Towards a Personal Health Large Language Model Justin Cosentino, Anastasiya Belyaeva, Xin Liu, Zhun Yang, Yun Liu, Shyam A. Tailor, Tim Althoff, John B Hernandez, Yossi Matias, Greg Corrado, Shwetak Patel, Shravya Shetty, Jiening Zhan, Daniel McDuff, Cory Y McLean

CVPRW 2023 ABAW5 Challenge: A Facial Affect Recognition Approach Utilizing Transformer Encoder and Audiovisual Fusion Ziyang Zhang, Liuwei An, Zishun Cui, Ao Xu, Tengteng Dong, Yueqi Jiang, Jingyi Shi, Xin Liu, Xiao Sun, Meng Wang

JMLR 2023 An Inexact Augmented Lagrangian Algorithm for Training Leaky ReLU Neural Network with Group Sparsity Wei Liu, Xin Liu, Xiaojun Chen

ICCV 2023 C2ST: Cross-Modal Contextualized Sequence Transduction for Continuous Sign Language Recognition Huaiwen Zhang, Zihang Guo, Yang Yang, Xin Liu, De Hu

ICCVW 2023 Class-Incremental Learning Using Diffusion Model for Distillation and Replay Quentin Jodelet, Xin Liu, Yin Jun Phua, Tsuyoshi Murata

NeurIPS 2023 Complex Query Answering on Eventuality Knowledge Graph with Implicit Logical Constraints Jiaxin Bai, Xin Liu, Weiqi Wang, Chen Luo, Yangqiu Song

WACV 2023 EfficientPhys: Enabling Simple, Fast and Accurate Camera-Based Cardiac Measurement Xin Liu, Brian Hill, Ziheng Jiang, Shwetak Patel, Daniel McDuff

NeurIPS 2023 Enhancing User Intent Capture in Session-Based Recommendation with Attribute Patterns Xin Liu, Zheng Li, Yifan Gao, Jingfeng Yang, Tianyu Cao, Zhengyang Wang, Bing Yin, Yangqiu Song

MLJ 2023 Heterogeneous Graph Embedding with Single-Level Aggregation and Infomax Encoding Nuttapong Chairatanakul, Xin Liu, Nguyen Thai Hoang, Tsuyoshi Murata

ACML 2023 KURL: A Knowledge-Guided Reinforcement Learning Model for Active Object Tracking Xin Liu, Jie Tan, Xiaoguang Ren, Weiya Ren, Huadong Dai

WACV 2023 MASTAF: A Model-Agnostic Spatio-Temporal Attention Fusion Network for Few-Shot Video Classification Xin Liu, Huanle Zhang, Hamed Pirsiavash, Xin Liu

CVPRW 2023 NTIRE 2023 Challenge on Efficient Super-Resolution: Methods and Results Yawei Li, Yulun Zhang, Radu Timofte, Luc Van Gool, Lei Yu, Youwei Li, Xinpeng Li, Ting Jiang, Qi Wu, Mingyan Han, Wenjie Lin, Chengzhi Jiang, Jinting Luo, Haoqiang Fan, Shuaicheng Liu, Yucong Wang, Minjie Cai, Mingxi Li, Yuhang Zhang, Xianjun Fan, Yankai Sheng, Yanyu Mao, Nihao Zhang, Qian Wang, Mingjun Zheng, Long Sun, Jinshan Pan, Jiangxin Dong, Jinhui Tang, Zhongbao Yang, Yan Wang, Erlin Pan, Qixuan Cai, Xinan Dai, Magauiya Zhussip, Nikolay Kalyazin, Dmitry Vyal, Xueyi Zou, Youliang Yan, Heaseo Chung, Jin Zhang, Gaocheng Yu, Feng Zhang, Hongbin Wang, Bohao Liao, Zhibo Du, Yu-Liang Wu, Gege Shi, Long Peng, Yang Wang, Yang Cao, Zhengjun Zha, Zhi-Kai Huang, Yi-Chung Chen, Yuan-Chun Chiang, Hao-Hsiang Yang, Wei-Ting Chen, Hua-En Chang, I-Hsiang Chen, Chia-Hsuan Hsieh, Sy-Yen Kuo, Xin Liu, Jiahao Pan, Hongyuan Yu, Weichen Yu, Lin Ge, Jiahua Dong, Yajun Zou, Zhuoyuan Wu, Binnan Han, Xiaolin Zhang, Heng Zhang, Xuanwu Yin, Kunlong Zuo, Weijian Deng, Hongjie Yuan, Zengtong Lu, Mingyu Ouyang, Wenzhuo Ma, Nian Liu, Hanyou Zheng, Yuantong Zhang, Junxi Zhang, Zhenzhong Chen, Garas Gendy, Nabil Sabor, Jingchao Hou, Guanghui He, Yurui Zhu, Xi Wang, Xueyang Fu, Zheng-Jun Zha, Daheng Yin, Mengyang Liu, Baijun Chen, Ao Li, Lei Luo, Kangjun Jin, Ce Zhu, Xiaoming Zhang, Chengxing Xie, Linze Li, Haiteng Meng, Tianlin Zhang, Tianrui Li, Xiaole Zhao, Zhao Zhang, Baiang Li, Huan Zheng, Suiyi Zhao, Yangcheng Gao, Jiahuan Ren, Kang Hu, Jingpeng Shi, Zhijian Wu, Dingjiang Huang, Jinchen Zhu, Hui Li, Qianru Xv, Tianle Liu, Gang Wu, Junpeng Jiang, Xianming Liu, Junjun Jiang, Mingjian Zhang, Shizhuang Weng, Jing Hu, Chengxu Wu, Qinrui Fan, Chengming Feng, Ziwei Luo, Shu Hu, Siwei Lyu, Xi Wu, Xin Wang

ECML-PKDD 2023 Not All Tasks Are Equal: A Parameter-Efficient Task Reweighting Method for Few-Shot Learning Xin Liu, Yilin Lyu, Liping Jing, Tieyong Zeng, Jian Yu

ICCV 2023 Objects Do Not Disappear: Video Object Detection by Single-Frame Object Location Anticipation Xin Liu, Fatemeh Karimi Nejadasl, Jan C. van Gemert, Olaf Booij, Silvia L. Pintea

ICML 2023 Online Nonstochastic Control with Adversarial and Static Constraints Xin Liu, Zixian Yang, Lei Ying

NeurIPS 2023 Open Visual Knowledge Extraction via Relation-Oriented Multimodality Model Prompting Hejie Cui, Xinyu Fang, Zihan Zhang, Ran Xu, Xuan Kan, Xin Liu, Yue Yu, Manling Li, Yangqiu Song, Carl Yang

ICMLW 2023 PIAT: Parameter Interpolation Based Adversarial Training for Image Classification Kun He, Xin Liu, Yichen Yang, Zhou Qin, Weigao Wen, Hui Xue', John E. Hopcroft

CVPR 2023 Progressive Neighbor Consistency Mining for Correspondence Pruning Xin Liu, Jufeng Yang

NeurIPS 2023 Recaptured Raw Screen Image and Video Demoiréing via Channel and Spatial Modulations Yijia Cheng, Xin Liu, Jingyu Yang

IJCAI 2023 Recognizable Information Bottleneck Yilin Lyu, Xin Liu, Mingyang Song, Xinyue Wang, Yaxin Peng, Tieyong Zeng, Liping Jing

L4DC 2023 Rectified Pessimistic-Optimistic Learning for Stochastic Continuum-Armed Bandit with Constraints Hengquan Guo, Zhu Qi, Xin Liu

NeurIPS 2023 Sample Efficient Reinforcement Learning in Mixed Systems Through Augmented Samples and Its Applications to Queueing Networks Honghao Wei, Xin Liu, Weina Wang, Lei Ying

ICLR 2023 SimPer: Simple Self-Supervised Learning of Periodic Targets Yuzhe Yang, Xin Liu, Jiang Wu, Silviu Borac, Dina Katabi, Ming-Zher Poh, Daniel McDuff

ICCVW 2023 Video BagNet: Short Temporal Receptive Fields Increase Robustness in Long-Term Action Recognition Ombretta Strafforello, Xin Liu, Klamer Schutte, Jan van Gemert

NeurIPS 2023 rPPG-Toolbox: Deep Remote PPG Toolbox Xin Liu, Girish Narayanswamy, Akshay Paruchuri, Xiaoyu Zhang, Jiankai Tang, Yuzhe Zhang, Roni Sengupta, Shwetak Patel, Yuntao Wang, Daniel McDuff

ECML-PKDD 2023 vMF Loss: Exploring a Scattered Intra-Class Hypersphere for Few-Shot Learning Xin Liu, Shijing Wang, Kairui Zhou, Yilin Lyu, Mingyang Song, Liping Jing, Tieyong Zeng, Jian Yu

AISTATS 2022 Triple-Q: A Model-Free Algorithm for Constrained Reinforcement Learning with Sublinear Regret and Zero Constraint Violation Honghao Wei, Xin Liu, Lei Ying

AAAI 2022 A Provably-Efficient Model-Free Algorithm for Infinite-Horizon Average-Reward Constrained Markov Decision Processes Honghao Wei, Xin Liu, Lei Ying

ECML-PKDD 2022 Anonymity Can Help Minority: A Novel Synthetic Data Over-Sampling Strategy on Multi-Label Graphs Yijun Duan, Xin Liu, Adam Jatowt, Haitao Yu, Steven J. Lynden, Kyoung-Sook Kim, Akiyoshi Matono

ICML 2022 Boosting Graph Structure Learning with Dummy Nodes Xin Liu, Jiayang Cheng, Yangqiu Song, Xin Jiang

AAAI 2022 Diaformer: Automatic Diagnosis via Symptoms Sequence Generation Junying Chen, Dongfang Li, Qingcai Chen, Wenxiu Zhou, Xin Liu

CVPRW 2022 Federated Remote Physiological Measurement with Imperfect Data Xin Liu, Mingchuan Zhang, Ziheng Jiang, Shwetak N. Patel, Daniel McDuff

NeurIPS 2022 GLOBEM Dataset: Multi-Year Datasets for Longitudinal Human Behavior Modeling Generalization Xuhai Xu, Han Zhang, Yasaman Sefidgar, Yiyi Ren, Xin Liu, Woosuk Seo, Jennifer Brown, Kevin Kuehn, Mike Merrill, Paula Nurius, Shwetak Patel, Tim Althoff, Margaret Morris, Eve Riskin, Jennifer Mankoff, Anind Dey

ECML-PKDD 2022 GNNSampler: Bridging the Gap Between Sampling Algorithms of GNN and Hardware Xin Liu, Mingyu Yan, Shuhan Song, Zhengyang Lv, Wenming Li, Guangyu Sun, Xiaochun Ye, Dongrui Fan

AAAI 2022 Graph Convolutional Networks with Dual Message Passing for Subgraph Isomorphism Counting and Matching Xin Liu, Yangqiu Song

ECCV 2022 GraphCSPN: Geometry-Aware Depth Completion via Dynamic GCNs Xin Liu, Xiaofei Shao, Bo Wang, Yali Li, Shengjin Wang

AAAI 2022 KGR4: Retrieval, Retrospect, Refine and Rethink for Commonsense Generation Xin Liu, Dayiheng Liu, Baosong Yang, Haibo Zhang, Junwei Ding, Wenqing Yao, Weihua Luo, Haiying Zhang, Jinsong Su

AAAI 2022 Leaping Through Time with Gradient-Based Adaptation for Recommendation Nuttapong Chairatanakul, Hoang Nt, Xin Liu, Tsuyoshi Murata

CVPRW 2022 NTIRE 2022 Challenge on Super-Resolution and Quality Enhancement of Compressed Video: Dataset, Methods and Results Ren Yang, Radu Timofte, Meisong Zheng, Qunliang Xing, Minglang Qiao, Mai Xu, Lai Jiang, Huaida Liu, Ying Chen, Youcheng Ben, Xiao Zhou, Chen Fu, Pei Cheng, Gang Yu, Junyi Li, Renlong Wu, Zhilu Zhang, Wei Shang, Zhengyao Lv, Yunjin Chen, Mingcai Zhou, Dongwei Ren, Kai Zhang, Wangmeng Zuo, Pavel Ostyakov, Dmitry Vyal, Shakarim Soltanayev, Chervontsev Sergey, Magauiya Zhussip, Xueyi Zou, Youliang Yan, Pablo Navarrete Michelini, Yunhua Lu, Diankai Zhang, Shaoli Liu, Si Gao, Biao Wu, Chengjian Zheng, Xiaofeng Zhang, Kaidi Lu, Ning Wang, Thuong Nguyen Canh, Thong Bach, Qing Wang, Xiaopeng Sun, Haoyu Ma, Shijie Zhao, Junlin Li, Liangbin Xie, Shuwei Shi, Yujiu Yang, Xintao Wang, Jinjin Gu, Chao Dong, Xiaodi Shi, Chunmei Nian, Dong Jiang, Jucai Lin, Zhihuai Xie, Mao Ye, Dengyan Luo, Liuhan Peng, Shengjie Chen, Xin Liu, Qian Wang, Boyang Liang, Hang Dong, Yuhao Huang, Kai Chen, Xingbei Guo, Yujing Sun, Huilei Wu, Pengxu Wei, Yulin Huang, Junying Chen, Ik Hyun Lee, Sunder Ali Khowaja, Jiseok Yoon

NeurIPS 2022 Online Convex Optimization with Hard Constraints: Towards the Best of Two Worlds and Beyond Hengquan Guo, Xin Liu, Honghao Wei, Lei Ying

NeurIPS 2022 SCAMPS: Synthetics for Camera Measurement of Physiological Signals Daniel McDuff, Miah Wander, Xin Liu, Brian Hill, Javier Hernandez, Jonathan Lester, Tadas Baltrusaitis

NeurIPS 2022 Self-Supervised Learning via Maximum Entropy Coding Xin Liu, Zhongdao Wang, Ya-Li Li, Shengjin Wang

IJCAI 2022 Survey on Graph Neural Network Acceleration: An Algorithmic Perspective Xin Liu, Mingyu Yan, Lei Deng, Guoqi Li, Xiaochun Ye, Dongrui Fan, Shirui Pan, Yuan Xie

NeurIPS 2022 Teach Less, Learn More: On the Undistillable Classes in Knowledge Distillation Yichen Zhu, Ning Liu, Zhiyuan Xu, Xin Liu, Weibin Meng, Louis Wang, Zhicai Ou, Jian Tang

ICLRW 2022 User-Level Membership Inference Attack Against Metric Embedding Learning Guoyao Li, Shahbaz Rezaei, Xin Liu

NeurIPS 2021 An Efficient Pessimistic-Optimistic Algorithm for Stochastic Linear Bandits with General Constraints Xin Liu, Bin Li, Pengyi Shi, Lei Ying

AAAI 2021 Automated Model Design and Benchmarking of Deep Learning Models for COVID-19 Detection with Chest CT Scans Xin He, Shihao Wang, Xiaowen Chu, Shaohuai Shi, Jiangping Tang, Xin Liu, Chenggang Yan, Jiyong Zhang, Guiguang Ding

ICCVW 2021 Beat-to-Beat Cardiac Pulse Rate Measurement from Video Brian L. Hill, Xin Liu, Daniel McDuff

ACML 2021 CTS2: Time Series Smoothing with Constrained Reinforcement Learning Yongshuai Liu, Xin Liu

CVPR 2021 Distractor-Aware Fast Tracking via Dynamic Convolutions and MOT Philosophy Zikai Zhang, Bineng Zhong, Shengping Zhang, Zhenjun Tang, Xin Liu, Zhaoxiang Zhang

AAAI 2021 Enhancing Audio-Visual Association with Self-Supervised Curriculum Learning Jingran Zhang, Xing Xu, Fumin Shen, Huimin Lu, Xin Liu, Heng Tao Shen

CVPR 2021 Learning to Filter: Siamese Relation Network for Robust Tracking Siyuan Cheng, Bineng Zhong, Guorong Li, Xin Liu, Zhenjun Tang, Xianxian Li, Jing Wang

CVPR 2021 No Frame Left Behind: Full Video Action Recognition Xin Liu, Silvia L. Pintea, Fatemeh Karimi Nejadasl, Olaf Booij, Jan C. van Gemert

CVPR 2021 On the Difficulty of Membership Inference Attacks Shahbaz Rezaei, Xin Liu

IJCAI 2021 Policy Learning with Constraints in Model-Free Reinforcement Learning: A Survey Yongshuai Liu, Avishai Halev, Xin Liu

CVPR 2021 iMiGUE: An Identity-Free Video Dataset for Micro-Gesture Understanding and Emotion Analysis Xin Liu, Henglin Shi, Haoyu Chen, Zitong Yu, Xiaobai Li, Guoying Zhao

AAAI 2020 A Robust Adversarial Training Approach to Machine Reading Comprehension Kai Liu, Xin Liu, An Yang, Jing Liu, Jinsong Su, Sujian Li, Qiaoqiao She

ICLR 2020 A Target-Agnostic Attack on Deep Models: Exploiting Security Vulnerabilities of Transfer Learning Shahbaz Rezaei, Xin Liu

ECCVW 2020 AIM 2020 Challenge on Learned Image Signal Processing Pipeline Andrey Ignatov, Radu Timofte, Zhilu Zhang, Ming Liu, Haolin Wang, Wangmeng Zuo, Jiawei Zhang, Ruimao Zhang, Zhanglin Peng, Sijie Ren, Linhui Dai, Xiaohong Liu, Chengqi Li, Jun Chen, Yuichi Ito, Bhavya Vasudeva, Puneesh Deora, Umapada Pal, Zhenyu Guo, Yu Zhu, Tian Liang, Chenghua Li, Cong Leng, Zhihong Pan, Baopu Li, Byung-Hoon Kim, Joonyoung Song, Jong Chul Ye, JaeHyun Baek, Magauiya Zhussip, Yeskendir Koishekenov, Hwechul Cho Ye, Xin Liu, Xueying Hu, Jun Jiang, Jinwei Gu, Kai Li, Pengliang Tang, Bingxin Hou

IJCAI 2020 An Iterative Multi-Source Mutual Knowledge Transfer Framework for Machine Reading Comprehension Xin Liu, Kai Liu, Xiang Li, Jinsong Su, Yubin Ge, Bin Wang, Jiebo Luo

AAAI 2020 IPO: Interior-Point Policy Optimization Under Constraints Yongshuai Liu, Jiaxin Ding, Xin Liu

ECCV 2020 Improving the Transferability of Adversarial Examples with Resized-Diverse-Inputs, Diversity-Ensemble and Region Fitting Junhua Zou, Zhisong Pan, Junyang Qiu, Xin Liu, Ting Rui, Wei Li

NeurIPS 2020 Multi-Task Temporal Shift Attention Networks for On-Device Contactless Vitals Measurement Xin Liu, Josh Fromm, Shwetak Patel, Daniel McDuff

IJCAI 2020 On the Importance of Word and Sentence Representation Learning in Implicit Discourse Relation Classification Xin Liu, Jiefu Ou, Yangqiu Song, Xin Jiang

IJCAI 2019 AdaLinUCB: Opportunistic Learning for Contextual Bandits Xueying Guo, Xiaoxiao Wang, Xin Liu

ICCVW 2019 Cross Domain Image Matching in Presence of Outliers Xin Liu, Seyran Khademi, Jan C. van Gemert

WACV 2019 Hidden States Exploration for 3D Skeleton-Based Gesture Recognition Xin Liu, Henglin Shi, Xiaopeng Hong, Haoyu Chen, Dacheng Tao, Guoying Zhao

ICCVW 2019 VACL: Variance-Aware Cross-Layer Regularization for Pruning Deep Residual Networks Susan Gao, Xin Liu, Lung-Sheng Chien, William Zhang, José M. Álvarez

AAAI 2018 Action Recognition with Coarse-to-Fine Deep Feature Integration and Asynchronous Fusion Weiyao Lin, Chongyang Zhang, Ke Lu, Bin Sheng, Jianxin Wu, Bingbing Ni, Xin Liu, Hongkai Xiong

ICML 2018 Adaptive Exploration-Exploitation Tradeoff for Opportunistic Bandits Huasen Wu, Xueying Guo, Xin Liu

IJCAI 2018 Biased Random Walk Based Social Regularization for Word Embeddings Ziqian Zeng, Xin Liu, Yangqiu Song

IJCAI 2018 Improving Maximum Likelihood Estimation of Temporal Point Process via Discriminative and Adversarial Learning Junchi Yan, Xin Liu, Liangliang Shi, Changsheng Li, Hongyuan Zha

IJCAI 2017 Learning User Dependencies for Recommendation Yong Liu, Peilin Zhao, Xin Liu, Min Wu, Lixin Duan, Xiaoli Li

AAAI 2017 On Predictive Patent Valuation: Forecasting Patent Citations and Their Types Xin Liu, Junchi Yan, Shuai Xiao, Xiangfeng Wang, Hongyuan Zha, Stephen M. Chu

ICCV 2017 Recursive Spatial Transformer (ReST) for Alignment-Free Face Recognition Wanglong Wu, Meina Kan, Xin Liu, Yi Yang, Shiguang Shan, Xilin Chen

NeurIPS 2016 Double Thompson Sampling for Dueling Bandits Huasen Wu, Xin Liu

IJCAI 2016 Exploring the Context of Locations for Personalized Location Recommendations Xin Liu, Yong Liu, Xiaoli Li

ICCVW 2015 AgeNet: Deeply Learned Regressor and Classifier for Robust Apparent Age Estimation Xin Liu, Shaoxin Li, Meina Kan, Jie Zhang, Shuzhe Wu, Wenxian Liu, Hu Han, Shiguang Shan, Xilin Chen

NeurIPS 2015 Algorithms with Logarithmic or Sublinear Regret for Constrained Contextual Bandits Huasen Wu, R. Srikant, Xin Liu, Chong Jiang

ACML 2015 Data-Guided Approach for Learning and Improving User Experience in Computer Networks Yanan Bao, Xin Liu, Amit Pande

ICCVW 2015 Exploiting Feature Hierarchies with Convolutional Neural Networks for Cultural Event Recognition Mengyi Liu, Xin Liu, Yan Li, Xilin Chen, Alexander G. Hauptmann, Shiguang Shan

IJCAI 2015 Modeling Users' Dynamic Preference for Personalized Recommendation Xin Liu

AAAI 2012 Modeling Context Aware Dynamic Trust Using Hidden Markov Model Xin Liu, Anwitaman Datta

ECCV 2012 Morphable Displacement Field Based Image Matching for Face Recognition Across Pose Shaoxin Li, Xin Liu, Xiujuan Chai, Haihong Zhang, Shihong Lao, Shiguang Shan

IJCAI 2011 A Trust Prediction Approach Capturing Agents' Dynamic Behavior Xin Liu, Anwitaman Datta

CVPR 2000 Video Summarization Using Singular Value Decomposition Yihong Gong, Xin Liu