Zhang, Ying

56 publications

ICLR 2025 BigDocs: An Open Dataset for Training Multimodal Models on Document and Code Tasks Juan A. Rodriguez, Xiangru Jian, Siba Smarak Panigrahi, Tianyu Zhang, Aarash Feizi, Abhay Puri, Akshay Kalkunte Suresh, François Savard, Ahmed Masry, Shravan Nayak, Rabiul Awal, Mahsa Massoud, Amirhossein Abaskohi, Zichao Li, Suyuchen Wang, Pierre-Andre Noel, Mats Leon Richter, Saverio Vadacchino, Shubham Agarwal, Sanket Biswas, Sara Shanian, Ying Zhang, Sathwik Tejaswi Madhusudhan, Joao Monteiro, Krishnamurthy Dj Dvijotham, Torsten Scholak, Nicolas Chapados, Sepideh Kharaghani, Sean Hughes, M. Özsu, Siva Reddy, Marco Pedersoli, Yoshua Bengio, Christopher Pal, Issam H. Laradji, Spandana Gella, Perouz Taslakian, David Vazquez, Sai Rajeswar

NeurIPS 2025 Code Graph Model (CGM): A Graph-Integrated Large Language Model for Repository-Level Software Engineering Tasks Hongyuan Tao, Ying Zhang, Zhenhao Tang, Hongen Peng, Xukun Zhu, Bingchang Liu, Yingguang Yang, Ziyin Zhang, Zhaogui Xu, Haipeng Zhang, Linchao Zhu, Rui Wang, Hang Yu, Jianguo Li, Peng Di

AAAI 2025 CollageNoter: Real-Time and Adaptive Collage Layout Design for Screenshot-Based E-Note-Taking Qiuyun Zhang, Bin Guo, Lina Yao, Xiaotian Qiao, Ying Zhang, Zhiwen Yu

CVPR 2025 DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving Bencheng Liao, Shaoyu Chen, Haoran Yin, Bo Jiang, Cheng Wang, Sixu Yan, Xinbang Zhang, Xiangyu Li, Ying Zhang, Qian Zhang, Xinggang Wang

NeurIPS 2025 DyG-Mamba: Continuous State Space Modeling on Dynamic Graphs Dongyuan Li, Shiyin Tan, Ying Zhang, Ming Jin, Shirui Pan, Manabu Okumura, Renhe Jiang

AAAI 2025 FedCross: Intertemporal Federated Learning Under Evolutionary Games Jianfeng Lu, Ying Zhang, Riheng Jia, Shuqin Cao, Jing Liu, Hao Fu

AAAI 2025 Graph Structure Learning for Spatial-Temporal Imputation: Adapting to Node and Feature Scales Xinyu Yang, Yu Sun, Xinyang Chen, Ying Zhang, Xiaojie Yuan

ICLR 2025 LayerDAG: A Layerwise Autoregressive Diffusion Model for Directed Acyclic Graph Generation Mufei Li, Viraj Shitole, Eli Chien, Changhai Man, Zhaodong Wang, Srinivas, Ying Zhang, Tushar Krishna, Pan Li

ICLRW 2025 LayerDAG: A Layerwise Autoregressive Diffusion Model for Directed Acyclic Graph Generation Mufei Li, Viraj Shitole, Eli Chien, Changhai Man, Zhaodong Wang, Srinivas, Ying Zhang, Tushar Krishna, Pan Li

TMLR 2025 On Diffusion-Based Generative Models and Their Error Bounds: The Log-Concave Case with Full Convergence Estimates Stefano Bruno, Ying Zhang, Dongyoung Lim, Omer Deniz Akyildiz, Sotirios Sabanis

NeurIPS 2025 RAD: Training an End-to-End Driving Policy via Large-Scale 3DGS-Based Reinforcement Learning Hao Gao, Shaoyu Chen, Bo Jiang, Bencheng Liao, Yiang Shi, Xiaoyang Guo, Yuechuan Pu, Haoran Yin, Xiangyu Li, Xinbang Zhang, Ying Zhang, Wenyu Liu, Qian Zhang, Xinggang Wang

CVPR 2025 Stacking Brick by Brick: Aligned Feature Isolation for Incremental Face Forgery Detection Jikang Cheng, Zhiyuan Yan, Ying Zhang, Li Hao, Jiaxin Ai, Qin Zou, Chen Li, Zhongyuan Wang

ICML 2025 TimeStep Master: Asymmetrical Mixture of Timestep LoRA Experts for Versatile and Efficient Diffusion Models in Vision Shaobin Zhuang, Yiwei Guo, Yanbo Ding, Kunchang Li, Xinyuan Chen, Yaohui Wang, Fangyikang Wang, Ying Zhang, Chen Li, Yali Wang

IJCAI 2025 Tree-of-AdEditor: Heuristic Tree Reasoning for Automated Video Advertisement Editing with Large Language Model Yuqi Zhang, Bin Guo, Nuo Li, Ying Zhang, Shijie Wang, Zhiwen Yu, Qing Li

CVPR 2025 WeGen: A Unified Model for Interactive Multimodal Generation as We Chat Zhipeng Huang, Shaobin Zhuang, Canmiao Fu, Binxin Yang, Ying Zhang, Chong Sun, Zhizheng Zhang, Yali Wang, Chen Li, Zheng-Jun Zha

NeurIPS 2024 AlterMOMA: Fusion Redundancy Pruning for Camera-LiDAR Fusion Models with Alternative Modality Masking Shiqi Sun, Yantao Lu, Ning Liu, Bo Jiang, Jinchao Chen, Ying Zhang

NeurIPSW 2024 BigDocs: An Open and Permissively-Licensed Dataset for Training Multimodal Models on Document and Code Tasks Juan A. Rodriguez, Xiangru Jian, Siba Smarak Panigrahi, Tianyu Zhang, Aarash Feizi, Abhay Puri, Akshay Kalkunte Suresh, François Savard, Ahmed Masry, Shravan Nayak, Rabiul Awal, Mahsa Massoud, Amirhossein Abaskohi, Zichao Li, Suyuchen Wang, Pierre-Andre Noel, Mats Leon Richter, Saverio Vadacchino, Shubham Agarwal, Sanket Biswas, Sara Shanian, Ying Zhang, Kurt MacDonald, Sathwik Tejaswi Madhusudhan, Joao Monteiro, Krishnamurthy Dj Dvijotham, Torsten Scholak, Nicolas Chapados, Sepideh Kharaghani, Sean Hughes, M. Özsu, Siva Reddy, Marco Pedersoli, Yoshua Bengio, Christopher Pal, Issam H. Laradji, Spandana Gella, Perouz Taslakian, David Vazquez, Sai Rajeswar

NeurIPS 2024 Can We Leave Deepfake Data Behind in Training Deepfake Detector? Jikang Cheng, Zhiyuan Yan, Ying Zhang, Yuhao Luo, Zhongyuan Wang, Chen Li

ICML 2024 Community-Invariant Graph Contrastive Learning Shiyin Tan, Dongyuan Li, Renhe Jiang, Ying Zhang, Manabu Okumura

NeurIPS 2024 FlashAttention-3: Fast and Accurate Attention with Asynchrony and Low-Precision Jay Shah, Ganesh Bikshandi, Ying Zhang, Vijay Thakkar, Pradeep Ramani, Tri Dao

CVPRW 2024 High Quality Reference Feature for Two Stage Bracketing Image Restoration and Enhancement Xiaoxia Xing, Hyunhee Park, Fan Wang, Ying Zhang, Sejun Song, Changho Kim, Xiangyu Kong

IJCAI 2024 Hypergraph Self-Supervised Learning with Sampling-Efficient Signals Fan Li, Xiaoyang Wang, Dawei Cheng, Wenjie Zhang, Ying Zhang, Xuemin Lin

AAAI 2024 Learning Time Slot Preferences via Mobility Tree for Next POI Recommendation Tianhao Huang, Xuan Pan, Xiangrui Cai, Ying Zhang, Xiaojie Yuan

ECML-PKDD 2024 Memory-Enhanced Emotional Support Conversations with Motivation-Driven Strategy Inference Hao Wang, Bin Guo, Mengqi Chen, Yasan Ding, Qiuyun Zhang, Ying Zhang, Zhiwen Yu

ECCV 2024 SHERL: Synthesizing High Accuracy and Efficient Memory for Resource-Limited Transfer Learning Haiwen Diao, Bo Wan, Xu Jia, Yunzhi Zhuge, Ying Zhang, Huchuan Lu, Long Chen

CVPR 2024 UniPT: Universal Parallel Tuning for Transfer Learning with Efficient Parameter and Memory Haiwen Diao, Bo Wan, Ying Zhang, Xu Jia, Huchuan Lu, Long Chen

NeurIPS 2022 BadPrompt: Backdoor Attacks on Continuous Prompts Xiangrui Cai, Haidong Xu, Sihan Xu, Ying Zhang, Yuan Xiaojie

CVPR 2022 Distribution Consistent Neural Architecture Search Junyi Pan, Chong Sun, Yizhou Zhou, Ying Zhang, Chen Li

IJCAI 2022 Learning Unforgotten Domain-Invariant Representations for Online Unsupervised Domain Adaptation Cheng Feng, Chaoliang Zhong, Jie Wang, Ying Zhang, Jun Sun, Yasuto Yokota

WACV 2022 PICA: Point-Wise Instance and Centroid Alignment Based Few-Shot Domain Adaptive Object Detection with Loose Annotations Chaoliang Zhong, Jie Wang, Cheng Feng, Ying Zhang, Jun Sun, Yasuto Yokota

CVPRW 2022 Signature Detection, Restoration, and Verification: A Novel Chinese Document Signature Forgery Detection Benchmark Kaihong Yan, Ying Zhang, Haoran Tang, Chengkai Ren, Jian Zhang, Gaoang Wang, Hongwei Wang

AAAI 2021 A Spatial Regulated Patch-Wise Approach for Cervical Dysplasia Diagnosis Ying Zhang, Yifang Yin, Zhenguang Liu, Roger Zimmermann

ICCV 2021 Audio2Gestures: Generating Diverse Gestures from Speech Audio with Conditional Variational Autoencoders Jing Li, Di Kang, Wenjie Pei, Xuefei Zhe, Ying Zhang, Zhenyu He, Linchao Bao

JMLR 2021 Communication-Efficient Distributed Covariance Sketch, with Application to Distributed PCA Zengfeng Huang, Xuemin Lin, Wenjie Zhang, Ying Zhang

AAAI 2021 Enhanced Audio Tagging via Multi- to Single-Modal Teacher-Student Mutual Learning Yifang Yin, Harsh Shrivastava, Ying Zhang, Zhenguang Liu, Rajiv Ratn Shah, Roger Zimmermann

AAAI 2021 Infusing Multi-Source Knowledge with Heterogeneous Graph Neural Network for Emotional Conversation Generation Yunlong Liang, Fandong Meng, Ying Zhang, Yufeng Chen, Jinan Xu, Jie Zhou

AAAI 2021 MTAAL: Multi-Task Adversarial Active Learning for Medical Named Entity Recognition and Normalization Baohang Zhou, Xiangrui Cai, Ying Zhang, Wenya Guo, Xiaojie Yuan

CVPR 2021 Model-Based 3D Hand Reconstruction via Self-Supervised Learning Yujin Chen, Zhigang Tu, Di Kang, Linchao Bao, Ying Zhang, Xuefei Zhe, Ruizhi Chen, Junsong Yuan

AAAI 2021 Similarity Reasoning and Filtration for Image-Text Matching Haiwen Diao, Ying Zhang, Lin Ma, Huchuan Lu

ECCV 2020 Consensus-Aware Visual-Semantic Embedding for Image-Text Matching Haoran Wang, Ying Zhang, Zhong Ji, Yanwei Pang, Lin Ma

IJCAI 2020 GoGNN: Graph of Graphs Neural Network for Predicting Structured Entity Interactions Hanchen Wang, Defu Lian, Ying Zhang, Lu Qin, Xuemin Lin

AAAI 2020 Re-Attention for Visual Question Answering Wenya Guo, Ying Zhang, Xiaoping Wu, Jufeng Yang, Xiangrui Cai, Xiaojie Yuan

IJCAI 2020 Risk Guarantee Prediction in Networked-Loans Dawei Cheng, Xiaoyang Wang, Ying Zhang, Liqing Zhang

IJCAI 2019 E²GAN: End-to-End Generative Adversarial Network for Multivariate Time Series Imputation Yonghong Luo, Ying Zhang, Xiangrui Cai, Xiaojie Yuan

NeurIPSW 2019 Retrieving Signals with Deep Complex Extractors Chiheb Trabelsi, Olexa Bilaniuk, Ousmane Dia, Ying Zhang, Mirco Ravanelli, Jonathan Binas, Negar Rostamzadeh, Christopher J Pal

ICLR 2018 Deep Complex Networks Chiheb Trabelsi, Olexa Bilaniuk, Ying Zhang, Dmitriy Serdyuk, Sandeep Subramanian, Joao Felipe Santos, Soroush Mehri, Negar Rostamzadeh, Yoshua Bengio, Christopher J Pal

ECCV 2018 Deep Cross-Modal Projection Learning for Image-Text Matching Ying Zhang, Huchuan Lu

IJCAI 2018 Medical Concept Embedding with Time-Aware Attention Xiangrui Cai, Jinyang Gao, Kee Yuan Ngiam, Beng Chin Ooi, Ying Zhang, Xiaojie Yuan

NeurIPS 2018 Multivariate Time Series Imputation with Generative Adversarial Networks Yonghong Luo, Xiangrui Cai, Ying Zhang, Jun Xu, Yuan Xiaojie

IJCAI 2018 Text Emotion Distribution Learning via Multi-Task Convolutional Neural Network Yuxiang Zhang, Jiamei Fu, Dongyu She, Ying Zhang, Senzhang Wang, Jufeng Yang

AAAI 2017 Finding Critical Users for Social Network Engagement: The Collapsed K-Core Problem Fan Zhang, Ying Zhang, Lu Qin, Wenjie Zhang, Xuemin Lin

NeurIPS 2016 On Multiplicative Integration with Recurrent Neural Networks Yuhuai Wu, Saizheng Zhang, Ying Zhang, Yoshua Bengio, Ruslan Salakhutdinov

NeurIPS 2016 Professor Forcing: A New Algorithm for Training Recurrent Networks Alex M Lamb, Anirudh Goyal ALIAS PARTH Goyal, Ying Zhang, Saizheng Zhang, Aaron C. Courville, Yoshua Bengio

CVPR 2016 Sample-Specific SVM Learning for Person Re-Identification Ying Zhang, Baohua Li, Huchuan Lu, Atshushi Irie, Xiang Ruan

CVPR 2015 Subspace Clustering by Mixture of Gaussian Regression Baohua Li, Ying Zhang, Zhouchen Lin, Huchuan Lu

IJCAI 2013 A Semantic Approach to Retrieving, Linking, and Integrating Heterogeneous Geospatial Data Ying Zhang, Yao-Yi Chiang, Pedro A. Szekely, Craig A. Knoblock