Wang, Jia

23 publications

AAAI 2025 DiffusionREC: Diffusion Model with Adaptive Condition for Referring Expression Comprehension Jingcheng Ke, Waikeung Wong, Jia Wang, Mu Li, Lunke Fei, Jie Wen

NeurIPS 2025 GUI Exploration Lab: Enhancing Screen Navigation in Agents via Multi-Turn Reinforcement Learning Haolong Yan, Yeqing Shen, Xin Huang, Jia Wang, Kaijun Tan, Zhixuan Liang, Hongxin Li, Zheng Ge, Osamu Yoshie, Si Li, Xiangyu Zhang, Daxin Jiang

ICCV 2025 Information Density Principle for MLLM Benchmarks Chunyi Li, Xiaozhe Li, Zicheng Zhang, Yuan Tian, Ziheng Jia, Xiaohong Liu, Xiongkuo Min, Jia Wang, Haodong Duan, Kai Chen, Guangtao Zhai

IJCAI 2025 MMET: A Multi-Input and Multi-Scale Transformer for Efficient PDEs Solving Yichen Luo, Jia Wang, Dapeng Lan, Yu Liu, Zhibo Pang

ICLR 2025 On Designing General and Expressive Quantum Graph Neural Networks with Applications to MILP Instance Representation Xinyu Ye, Hao Xiong, Jianhao Huang, Ziang Chen, Jia Wang, Junchi Yan

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

AAAI 2025 PScalpel: A Machine Learning-Based Guider for Protein Phase-Separating Behaviour Alteration Jia Wang, Liyan Zhu, Zhe Wang, Chenqiu Zhang, Yaoxing Wu, Jun Cui, Jianqiang Li

AAAI 2025 Reinforcement Active Client Selection for Federated Heterogeneous Graph Learning Jia Wang, Yawen Li, Yingxia Shao, Zhe Xue, Zeli Guan, Ang Li, Guanhua Ye

NeurIPS 2025 Role-Aware Multi-Agent Reinforcement Learning for Coordinated Emergency Traffic Control Ming Cheng, Hao Chen, Zhiqing Li, Jia Wang, Senzhang Wang

ECCV 2024 Beta-Tuned Timestep Diffusion Model Tianyi Zheng, Peng-Tao Jiang, Ben Wan, Hao Zhang, Jinwei Chen, Jia Wang, Bo Li

CVPR 2024 Bi-Level Learning of Task-Specific Decoders for Joint Registration and One-Shot Medical Image Segmentation Xin Fan, Xiaolin Wang, Jiaxin Gao, Jia Wang, Zhongxuan Luo, Risheng Liu

UAI 2024 Bias-Aware Boolean Matrix Factorization Using Disentangled Representation Learning Xiao Wang, Jia Wang, Tong Zhao, Yijie Wang, Nan Zhang, Yong Zang, Sha Cao, Chi Zhang

ACML 2024 Multilevel Position-Aware Attention Enhanced Network for Skeleton-Based Action Recognition Dandan Zhang, Jia Wang, Sicong Zhan

AAAI 2024 Practical Privacy-Preserving MLaaS: When Compressive Sensing Meets Generative Networks Jia Wang, Wuqiang Su, Zushu Huang, Jie Chen, Chengwen Luo, Jianqiang Li

WACV 2024 WalkFormer: Point Cloud Completion via Guided Walks Mohang Zhang, Yushi Li, Rong Chen, Yushan Pan, Jia Wang, Yunzhe Wang, Rong Xiang

AAAI 2023 Certifiable Out-of-Distribution Generalization Nanyang Ye, Lin Zhu, Jia Wang, Zhaoyu Zeng, Jiayao Shao, Chensheng Peng, Bikang Pan, Kaican Li, Jun Zhu

AAAI 2022 A Multi-Factor Classification Framework for Completing Users' Fuzzy Queries (Student Abstract) Yaning Zhang, Liangqing Wu, Yangyang Wang, Jia Wang, Xiaoguang Yu, Shuangyong Song, Youzheng Wu, Xiaodong He

AAAI 2022 SimCTC: A Simple Contrast Learning Method of Text Clustering (Student Abstract) Chen Li, Xiaoguang Yu, Shuangyong Song, Jia Wang, Bo Zou, Xiaodong He

NeurIPS 2021 Bounds All Around: Training Energy-Based Models with Bidirectional Bounds Cong Geng, Jia Wang, Zhiyong Gao, Jes Frellsen, Søren Hauberg

IJCAI 2019 CLVSA: A Convolutional LSTM Based Variational Sequence-to-Sequence Model with Attention for Predicting Trends of Financial Markets Jia Wang, Tong Sun, Benyuan Liu, Yu Cao, Hongwei Zhu

AAAI 2019 Understanding VAEs in Fisher-Shannon Plane Huangjie Zheng, Jiangchao Yao, Ya Zhang, Ivor W. Tsang, Jia Wang

AAAI 2018 GraphGAN: Graph Representation Learning with Generative Adversarial Nets Hongwei Wang, Jia Wang, Jialin Wang, Miao Zhao, Weinan Zhang, Fuzheng Zhang, Xing Xie, Minyi Guo

AAAI 2010 News Recommendation in Forum-Based Social Media Jia Wang, Qing Li, Yuanzhu Peter Chen, Jiafen Liu, Chen Zhang, Zhangxi Lin