Liu, Ye

35 publications

AAAI 2025 AFFAKT: A Hierarchical Optimal Transport Based Method for Affective Facial Knowledge Transfer in Video Deception Detection Zihan Ji, Xuetao Tian, Ye Liu

NeurIPS 2025 Breaking the Batch Barrier (b3) of Contrastive Learning via Smart Batch Mining Raghuveer Thirukovalluru, Rui Meng, Ye Liu, Karthikeyan K, Mingyi Su, Ping Nie, Semih Yavuz, Yingbo Zhou, Wenhu Chen, Bhuwan Dhingra

ICML 2025 DragSolver: A Multi-Scale Transformer for Real-World Automotive Drag Coefficient Estimation Ye Liu, Yuntian Chen

NeurIPS 2025 Layer as Puzzle Pieces: Compressing Large Language Models Through Layer Concatenation Fei Wang, Li Shen, Liang Ding, Chao Xue, Ye Liu, Changxing Ding

NeurIPS 2025 Plug-and-Play Feature Causality Decomposition for Multimodal Representation Learning Ye Liu, Zihan Ji, Hongmin Cai

CVPR 2025 SEC-Prompt:SEmantic Complementary Prompting for Few-Shot Class-Incremental Learning Ye Liu, Meng Yang

NeurIPS 2025 UniPixel: Unified Object Referring and Segmentation for Pixel-Level Visual Reasoning Ye Liu, Zongyang Ma, Junfu Pu, Zhongang Qi, Yang Wu, Ying Shan, Chang Wen Chen

ICCV 2025 VisionMath: Vision-Form Mathematical Problem-Solving Zongyang Ma, Yuxin Chen, Ziqi Zhang, Zhongang Qi, Chunfeng Yuan, Shaojie Zhu, Chengxiang Zhuo, Bing Li, Ye Liu, Zang Li, Ying Shan, Weiming Hu

AAAI 2025 mmFAS: Multimodal Face Anti-Spoofing Using Multi-Level Alignment and Switch-Attention Fusion Geng Chen, Wuyuan Xie, Di Lin, Ye Liu, Miaohui Wang

NeurIPS 2024 E.T. Bench: Towards Open-Ended Event-Level Video-Language Understanding Ye Liu, Zongyang Ma, Zhongang Qi, Yang Wu, Ying Shan, Chang Wen Chen

ICML 2024 Federated Self-Explaining GNNs with Anti-Shortcut Augmentations Linan Yue, Qi Liu, Weibo Gao, Ye Liu, Kai Zhang, Yichao Du, Li Wang, Fangzhou Yao

NeurIPS 2024 Improving Visual Prompt Tuning by Gaussian Neighborhood Minimization for Long-Tailed Visual Recognition Mengke Li, Ye Liu, Yang Lu, Yiqun Zhang, Yiu-ming Cheung, Hui Huang

NeurIPS 2024 MLLM-CompBench: A Comparative Reasoning Benchmark for Multimodal LLMs Jihyung Kil, Zheda Mai, Justin Lee, Arpita Chowdhury, Zihe Wang, Kerrie Cheng, Lemeng Wang, Ye Liu, Wei-Lun Chao

ECCV 2024 R^2-Tuning: Efficient Image-to-Video Transfer Learning for Video Temporal Grounding Ye Liu, Jixuan He, Wanhua Li, Junsik Kim, Donglai Wei, Hanspeter Pfister, Chang Wen Chen

NeurIPSW 2023 Choice Models and Permutation Invariance: Demand Estimation in Differentiated Products Markets Amandeep Singh, Ye Liu, Hema Yoganarasimhan

CVPR 2023 Deep Hashing with Minimal-Distance-Separated Hash Centers Liangdao Wang, Yan Pan, Cong Liu, Hanjiang Lai, Jian Yin, Ye Liu

CVPR 2023 Discrete Point-Wise Attack Is Not Enough: Generalized Manifold Adversarial Attack for Face Recognition Qian Li, Yuxiao Hu, Ye Liu, Dongxiao Zhang, Xin Jin, Yuntian Chen

AAAI 2023 Just Noticeable Visual Redundancy Forecasting: A Deep Multimodal-Driven Approach Wuyuan Xie, Shukang Wang, Sukun Tian, Lirong Huang, Ye Liu, Miaohui Wang

IJCAI 2023 Keep Skills in Mind: Understanding and Implementing Skills in Commonsense Question Answering Meikai Bao, Qi Liu, Kai Zhang, Ye Liu, Linan Yue, Longfei Li, Jun Zhou

CVPR 2023 OSAN: A One-Stage Alignment Network to Unify Multimodal Alignment and Unsupervised Domain Adaptation Ye Liu, Lingfeng Qiao, Changchong Lu, Di Yin, Chen Lin, Haoyuan Peng, Bo Ren

ICCV 2023 Video Adverse-Weather-Component Suppression Network via Weather Messenger and Adversarial Backpropagation Yijun Yang, Angelica I. Aviles-Rivero, Huazhu Fu, Ye Liu, Weiming Wang, Lei Zhu

CVPR 2022 Practical Evaluation of Adversarial Robustness via Adaptive Auto Attack Ye Liu, Yaya Cheng, Lianli Gao, Xianglong Liu, Qilong Zhang, Jingkuan Song

CVPR 2022 UMT: Unified Multi-Modal Transformers for Joint Video Moment Retrieval and Highlight Detection Ye Liu, Siyuan Li, Yang Wu, Chang-Wen Chen, Ying Shan, Xiaohu Qie

IJCAI 2021 Guided Attention Network for Concept Extraction Songtao Fang, Zhenya Huang, Ming He, Shiwei Tong, Xiaoqing Huang, Ye Liu, Jie Huang, Qi Liu

AAAI 2021 KG-BART: Knowledge Graph-Augmented BART for Generative Commonsense Reasoning Ye Liu, Yao Wan, Lifang He, Hao Peng, Philip S. Yu

ICCV 2021 Real-Time Vanishing Point Detector Integrating Under-Parameterized RANSAC and Hough Transform Jianping Wu, Liang Zhang, Ye Liu, Ke Chen

ECML-PKDD 2020 Revisiting Convolutional Neural Networks for Citywide Crowd Flow Analytics Yuxuan Liang, Kun Ouyang, Yiwei Wang, Ye Liu, Junbo Zhang, Yu Zheng, David S. Rosenblum

IJCAI 2019 Learning Multi-Objective Rewards and User Utility Function in Contextual Bandits for Personalized Ranking Nirandika Wanigasekara, Yuxuan Liang, Siong Thye Goh, Ye Liu, Joseph Jay Williams, David S. Rosenblum

AAAI 2018 Multi-View Multi-Graph Embedding for Brain Network Clustering Analysis Ye Liu, Lifang He, Bokai Cao, Philip S. Yu, Ann B. Ragin, Alex D. Leow

AAAI 2016 Fortune Teller: Predicting Your Career Path Ye Liu, Luming Zhang, Liqiang Nie, Yan Yan, David S. Rosenblum

AAAI 2016 Recognizing Complex Activities by a Probabilistic Interval-Based Model Li Liu, Li Cheng, Ye Liu, Yongpo Jia, David S. Rosenblum

IJCAI 2016 Urban Water Quality Prediction Based on Multi-Task Multi-View Learning Ye Liu, Yu Zheng, Yuxuan Liang, Shuming Liu, David S. Rosenblum

IJCAI 2015 Action2Activity: Recognizing Complex Activities from Sensor Data Ye Liu, Liqiang Nie, Lei Han, Luming Zhang, David S. Rosenblum

CVPR 2015 Simultaneous Feature Learning and Hash Coding with Deep Neural Networks Hanjiang Lai, Yan Pan, Ye Liu, Shuicheng Yan

ECCV 2012 Automatic Tracking of a Large Number of Moving Targets in 3D Ye Liu, Hui Li, Yan Qiu Chen