Zhao, Liang

68 publications

IJCAI 2025 CSF-GAN: Cross-Modal Semantic Fusion-Based Generative Adversarial Network for Text-Guided Image Inpainting Shilin Zhang, Suixue Wang, Qingchen Zhang, Liang Zhao, Weiliang Huo, Sijia Hou, Chunjiang Fu

IJCAI 2025 Consistency-Aware Padding for Incomplete Multi-Modal Alignment Clustering Based on Self-Repellent Greedy Anchor Search Shubin Ma, Liang Zhao, Mingdong Lu, Yifan Guo, Bo Xu

NeurIPS 2025 Continuous Domain Generalization Zekun Cai, Yiheng Yao, Guangji Bai, Renhe Jiang, Xuan Song, Ryosuke Shibasaki, Liang Zhao

IJCAI 2025 Dual Robust Unbiased Multi-View Clustering for Incomplete and Unpaired Information Liang Zhao, Ziyue Wang, Chuanye He, Qingchen Zhang, Bo Xu

IJCAI 2025 EchoGPT: An Interactive Cardiac Function Assessment Model for Echocardiogram Videos Bo Xu, Quanhao Zhu, Qingchen Zhang, Mengmeng Wang, Liang Zhao, Hongfei Lin, Jing Ren, Feng Xia

AAAI 2025 Incomplete and Unpaired Multi-View Graph Clustering with Cross-View Feature Fusion Liang Zhao, Ziyue Wang, Xiao Wang, Zhikui Chen, Bo Xu

CVPR 2025 JanusFlow: Harmonizing Autoregression and Rectified Flow for Unified Multimodal Understanding and Generation Yiyang Ma, Xingchao Liu, Xiaokang Chen, Wen Liu, Chengyue Wu, Zhiyu Wu, Zizheng Pan, Zhenda Xie, Haowei Zhang, Xingkai Yu, Liang Zhao, Yisong Wang, Jiaying Liu, Chong Ruan

IJCAI 2025 Neuron Similarity-Based Neural Network Verification via Abstraction and Refinement Yuehao Liu, Yansong Dong, Liang Zhao, Wensheng Wang, Cong Tian

NeurIPS 2025 Open Vision Reasoner: Transferring Linguistic Cognitive Behavior for Visual Reasoning Yana Wei, Liang Zhao, Jianjian Sun, Kangheng Lin, Jisheng Yin, Jingcheng Hu, Yinmin Zhang, En Yu, Haoran Lv, Zejia Weng, Jia Wang, Qi Han, Zheng Ge, Xiangyu Zhang, Daxin Jiang, Vishal M. Patel

ICML 2025 Perception in Reflection Yana Wei, Liang Zhao, Kangheng Lin, En Yu, Yuang Peng, Runpei Dong, Jianjian Sun, Haoran Wei, Zheng Ge, Xiangyu Zhang, Vishal M. Patel

NeurIPS 2025 Perception-R1: Pioneering Perception Policy with Reinforcement Learning En Yu, Kangheng Lin, Liang Zhao, Jisheng Yin, Yana Wei, Yuang Peng, Haoran Wei, Jianjian Sun, Chunrui Han, Zheng Ge, Xiangyu Zhang, Daxin Jiang, Jingyu Wang, Wenbing Tao

ICLR 2025 PolyhedronNet: Representation Learning for Polyhedra with Surface-Attributed Graph Dazhou Yu, Genpei Zhang, Liang Zhao

ICLR 2025 Unhackable Temporal Reward for Scalable Video MLLMs En Yu, Kangheng Lin, Liang Zhao, Yana Wei, Zining Zhu, Haoran Wei, Jianjian Sun, Zheng Ge, Xiangyu Zhang, Jingyu Wang, Wenbing Tao

IJCAI 2024 ChatSpot: Bootstrapping Multimodal LLMs via Precise Referring Instruction Tuning Liang Zhao, En Yu, Zheng Ge, Jinrong Yang, Haoran Wei, Hongyu Zhou, Jianjian Sun, Yuang Peng, Runpei Dong, Chunrui Han, Xiangyu Zhang

NeurIPS 2024 Continuous Temporal Domain Generalization Zekun Cai, Guangji Bai, Renhe Jiang, Xuan Song, Liang Zhao

ICLR 2024 DreamLLM: Synergistic Multimodal Comprehension and Creation Runpei Dong, Chunrui Han, Yuang Peng, Zekun Qi, Zheng Ge, Jinrong Yang, Liang Zhao, Jianjian Sun, Hongyu Zhou, Haoran Wei, Xiangwen Kong, Xiangyu Zhang, Kaisheng Ma, Li Yi

CPAL 2024 Efficiently Disentangle Causal Representations Yuanpeng Li, Joel Hestness, Mohamed Elhoseiny, Liang Zhao, Kenneth Church

ICLRW 2024 Explaining Latent Representations of Generative Models with Large Multimodal Models Mengdan Zhu, Zhenke Liu, Bo Pan, Abhinav Angirekula, Liang Zhao

ICLRW 2024 Improving Open Information Extraction with Large Language Models: A Study on Demonstration Uncertainty Chen Ling, Xujiang Zhao, Xuchao Zhang, Yanchi Liu, Wei Cheng, Haoyu Wang, Zhengzhang Chen, Mika Oishi, Takao Osaki, Katsushi Matsuda, Liang Zhao, Haifeng Chen

NeurIPS 2024 LibMOON: A Gradient-Based MultiObjective OptimizatioN Library in PyTorch Xiaoyuan Zhang, Liang Zhao, Yingying Yu, Xi Lin, Yifan Chen, Han Zhao, Qingfu Zhang

AISTATS 2024 MIM-Reasoner: Learning with Theoretical Guarantees for Multiplex Influence Maximization Nguyen Hoang Khoi Do, Tanmoy Chowdhury, Chen Ling, Liang Zhao, My T. Thai

ECCV 2024 Merlin: Empowering Multimodal LLMs with Foresight Minds En Yu, Liang Zhao, Yana Wei, Jinrong Yang, Dongming Wu, Lingyu Kong, Haoran Wei, Tiancai Wang, Zheng Ge, Xiangyu Zhang, Wenbing Tao

NeurIPS 2024 SparseLLM: Towards Global Pruning of Pre-Trained Language Models Guangji Bai, Yijiang Li, Chen Ling, Kibaek Kim, Liang Zhao

NeurIPS 2024 TEG-DB: A Comprehensive Dataset and Benchmark of Textual-Edge Graphs Zhuofeng Li, Zixing Gou, Xiangnan Zhang, Zhongyuan Liu, Sirui Li, Yuntong Hu, Chen Ling, Zheng Zhang, Liang Zhao

ECCV 2024 Vary: Scaling up the Vision Vocabulary for Large Vision-Language Models Haoran Wei, Lingyu Kong, Jinyue Chen, Liang Zhao, Zheng Ge, Jinrong Yang, Jianjian Sun, Chunrui Han, Xiangyu Zhang

IJCAI 2024 Visual Attention Prompted Prediction and Learning Yifei Zhang, Bo Pan, Siyi Gu, Guangji Bai, Meikang Qiu, Xiaofeng Yang, Liang Zhao

NeurIPSW 2023 Beyond Text: A Deep Dive into Large Language Models' Ability on Understanding Graph Data Yuntong Hu, Zheng Zhang, Liang Zhao

NeurIPS 2023 Curriculum Learning for Graph Neural Networks: Which Edges Should We Learn First Zheng Zhang, Junxiang Wang, Liang Zhao

ICML 2023 Deep Graph Representation Learning and Optimization for Influence Maximization Chen Ling, Junji Jiang, Junxiang Wang, My T. Thai, Renhao Xue, James Song, Meikang Qiu, Liang Zhao

ICCV 2023 MAGI: Multi-Annotated Explanation-Guided Learning Yifei Zhang, Siyi Gu, Yuyang Gao, Bo Pan, Xiaofeng Yang, Liang Zhao

NeurIPSW 2023 Saliency-Guided Hidden Associative Replay for Continual Learning Guangji Bai, Qilong Zhao, Xiaoyang Jiang, Liang Zhao

ICLR 2023 Temporal Domain Generalization with Drift-Aware Dynamic Neural Networks Guangji Bai, Chen Ling, Liang Zhao

IJCAI 2023 Unsupervised Deep Subgraph Anomaly Detection (Extended Abstract) Zheng Zhang, Liang Zhao

AAAI 2022 Adaptive Kernel Graph Neural Network Mingxuan Ju, Shifu Hou, Yujie Fan, Jianan Zhao, Yanfang Ye, Liang Zhao

ECCV 2022 Background-Insensitive Scene Text Recognition with Text Semantic Segmentation Liang Zhao, Zhenyao Wu, Xinyi Wu, Greg Wilsbacher, Song Wang

MLJ 2022 Clustered and Deep Echo State Networks for Signal Noise Reduction Laercio de Oliveira Junior, Florian Stelzer, Liang Zhao

NeurIPS 2022 Deep Generative Model for Periodic Graphs Shiyu Wang, Xiaojie Guo, Liang Zhao

AAAI 2022 Disentangled Spatiotemporal Graph Generative Models Yuanqi Du, Xiaojie Guo, Hengning Cao, Yanfang Ye, Liang Zhao

AAAI 2022 From "Dynamics on Graphs" to "Dynamics of Graphs": An Adaptive Echo-State Network Solution (Student Abstract) Lei Zhang, Zhiqian Chen, Chang-Tien Lu, Liang Zhao

NeurIPS 2022 Multi-Objective Deep Data Generation with Correlated Property Control Shiyu Wang, Xiaojie Guo, Xuanyang Lin, Bo Pan, Yuanqi Du, Yinkai Wang, Yanfang Ye, Ashley Petersen, Austin Leitgeb, Saleh Alkhalifa, Kevin Minbiole, William M. Wuest, Amarda Shehu, Liang Zhao

ECML-PKDD 2022 STGEN: Deep Continuous-Time Spatiotemporal Graph Generation Chen Ling, Hengning Cao, Liang Zhao

CVPR 2022 Task-Specific Inconsistency Alignment for Domain Adaptive Object Detection Liang Zhao, Limin Wang

AAAI 2022 Zero-Shot Cross-Lingual Machine Reading Comprehension via Inter-Sentence Dependency Graph Liyan Xu, Xuchao Zhang, Bo Zong, Yanchi Liu, Wei Cheng, Jingchao Ni, Haifeng Chen, Liang Zhao, Jinho D. Choi

AAAI 2021 Deep Graph Spectral Evolution Networks for Graph Topological Evolution Negar Etemadyrad, Qingzhe Li, Liang Zhao

NeurIPSW 2021 GraphGT: Machine Learning Datasets for Graph Generation and Transformation Yuanqi Du, Shiyu Wang, Xiaojie Guo, Hengning Cao, Shujie Hu, Junji Jiang, Aishwarya Varala, Abhinav Angirekula, Liang Zhao

ICML 2021 KNAS: Green Neural Architecture Search Jingjing Xu, Liang Zhao, Junyang Lin, Rundong Gao, Xu Sun, Hongxia Yang

NeurIPSW 2021 Learning Disentangled Representation for Spatiotemporal Graph Generation Yuanqi Du, Xiaojie Guo, Hengning Cao, Yanfang Ye, Liang Zhao

IJCAI 2021 Long-Term, Short-Term and Sudden Event: Trading Volume Movement Prediction with Graph-Based Multi-View Modeling Liang Zhao, Wei Li, Ruihan Bao, Keiko Harimoto, Yunfang Wu, Xu Sun

ICLR 2021 Property Controllable Variational Autoencoder via Invertible Mutual Dependence Xiaojie Guo, Yuanqi Du, Liang Zhao

NeurIPS 2021 Representation Learning on Spatial Networks Zheng Zhang, Liang Zhao

ICLR 2020 Compositional Language Continual Learning Yuanpeng Li, Liang Zhao, Kenneth Church, Mohamed Elhoseiny

AAAI 2020 Self-Paced Robust Learning for Leveraging Clean Labels in Noisy Data Xuchao Zhang, Xian Wu, Fanglan Chen, Liang Zhao, Chang-Tien Lu

AAAI 2019 Incomplete Label Multi-Task Deep Learning for Spatio-Temporal Event Subtype Forecasting Yuyang Gao, Liang Zhao, Lingfei Wu, Yanfang Ye, Hui Xiong, Chaowei Yang

IJCAI 2019 Interpreting and Evaluating Neural Network Robustness Fuxun Yu, Zhuwei Qin, Chenchen Liu, Liang Zhao, Yanzhi Wang, Xiang Chen

IJCAI 2019 Linear Time Complexity Time Series Clustering with Symbolic Pattern Forest Xiaosheng Li, Jessica Lin, Liang Zhao

AAAI 2019 Universal Approximation Property and Equivalence of Stochastic Computing-Based Neural Networks and Binary Neural Networks Yanzhi Wang, Zheng Zhan, Liang Zhao, Jian Tang, Siyue Wang, Jiayu Li, Bo Yuan, Wujie Wen, Xue Lin

IJCAI 2019 iDev: Enhancing Social Coding Security by Cross-Platform User Identification Between GitHub and Stack Overflow Yujie Fan, Yiming Zhang, Shifu Hou, Lingwei Chen, Yanfang Ye, Chuan Shi, Liang Zhao, Shouhuai Xu

AAAI 2018 Distant-Supervision of Heterogeneous Multitask Learning for Social Event Forecasting with Multilingual Indicators Liang Zhao, Junxiang Wang, Xiaojie Guo

IJCAI 2018 Distributed Self-Paced Learning in Alternating Direction Method of Multipliers Xuchao Zhang, Liang Zhao, Zhiqian Chen, Chang-Tien Lu

AAAI 2018 Incomplete Label Multi-Task Ordinal Regression for Spatial Event Scale Forecasting Yuyang Gao, Liang Zhao

ICML 2018 Learning to Explore via Meta-Policy Gradient Tianbing Xu, Qiang Liu, Liang Zhao, Jian Peng

IJCAI 2018 Social Media Based Simulation Models for Understanding Disease Dynamics Ting Hua, Chandan K. Reddy, Lei Zhang, Lijing Wang, Liang Zhao, Chang-Tien Lu, Naren Ramakrishnan

AAAI 2018 Unsupervised Learning of Geometry from Videos with Edge-Aware Depth-Normal Consistency Zhenheng Yang, Peng Wang, Wei Xu, Liang Zhao, Ramakant Nevatia

AAAI 2017 Determining Relative Airport Threats from News and Social Media Rupinder Paul Khandpur, Taoran Ji, Yue Ning, Liang Zhao, Chang-Tien Lu, Erik R. Smith, Christopher Adams, Naren Ramakrishnan

IJCAI 2017 Robust Regression via Heuristic Hard Thresholding Xuchao Zhang, Liang Zhao, Arnold P. Boedihardjo, Chang-Tien Lu

ICML 2017 Theoretical Properties for Neural Networks with Weight Matrices of Low Displacement Rank Liang Zhao, Siyu Liao, Yanzhi Wang, Zhe Li, Jian Tang, Bo Yuan

ICCV 2005 Closely Coupled Object Detection and Segmentation Liang Zhao, Larry S. Davis

CVPR 1998 Qualitative and Quantitative Car Tracking from a Range Image Sequence Liang Zhao, Chuck Thorpe