Wu, Jian

58 publications

NeurIPS 2025 3D-RAD: A Comprehensive 3D Radiology Med-VQA Dataset with Multi-Temporal Analysis and Diverse Diagnostic Tasks Xiaotang Gai, Jiaxiang Liu, Yichen Li, Zijie Meng, Jian Wu, Zuozhu Liu

ICLR 2025 CofCA: A STEP-WISE Counterfactual Multi-Hop QA Benchmark Jian Wu, Linyi Yang, Zhen Wang, Manabu Okumura, Yue Zhang

ICML 2025 DiTAR: Diffusion Transformer Autoregressive Modeling for Speech Generation Dongya Jia, Zhuo Chen, Jiawei Chen, Chenpeng Du, Jian Wu, Jian Cong, Xiaobin Zhuang, Chumin Li, Zhen Wei, Yuping Wang, Yuxuan Wang

IJCAI 2025 Dual-Level Fuzzy Learning with Patch Guidance for Image Ordinal Regression Chunlai Dong, Haochao Ying, Qibo Qiu, Jinhong Wang, Danny Z. Chen, Jian Wu

ICLR 2025 MMQA: Evaluating LLMs with Multi-Table Multi-Hop Complex Questions Jian Wu, Linyi Yang, Dongyuan Li, Yuliang Ji, Manabu Okumura, Yue Zhang

IJCAI 2025 Modality-Fair Preference Optimization for Trustworthy MLLM Alignment Songtao Jiang, Yan Zhang, Ruizhe Chen, Tianxiang Hu, Yeying Jin, Qinglin He, Yang Feng, Jian Wu, Zuozhu Liu

ICCV 2025 OrderChain: Towards General Instruct-Tuning for Stimulating the Ordinal Understanding Ability of MLLM Jinhong Wang, Shuo Tong, Jian Liu, Dongqi Tang, Weiqiang Wang, Wentong Li, Hongxia Xu, Danny Z. Chen, Jintai Chen, Jian Wu

AAAI 2025 ProtCLIP: Function-Informed Protein Multi-Modal Learning Hanjing Zhou, Mingze Yin, Wei Wu, Mingyang Li, Kun Fu, Jintai Chen, Jian Wu, Zheng Wang

AISTATS 2025 Rethinking Neural-Based Matrix Inversion: Why Can’t, and Where Can Yuliang Ji, Jian Wu, Yuanzhe Xi

CVPR 2025 Scalable Autoregressive Monocular Depth Estimation Jinhong Wang, Jian Liu, Dongqi Tang, Weiqiang Wang, Wentong Li, Danny Chen, Jintai Chen, Jian Wu

ICLR 2025 Small Models Are LLM Knowledge Triggers for Medical Tabular Prediction Jiahuan Yan, Jintai Chen, Chaowen Hu, Bo Zheng, Yaojun Hu, Jimeng Sun, Jian Wu

AAAI 2025 Synergy of GFlowNet and Protein Language Model Makes a Diverse Antibody Designer Mingze Yin, Hanjing Zhou, Yiheng Zhu, Jialu Wu, Wei Wu, Mingyang Li, Kun Fu, Zheng Wang, Chang-Yu Hsieh, Tingjun Hou, Jian Wu

NeurIPSW 2024 A Spatio-Temporal Flow Matching Framework for Pedestrian Trajectory Prediction Hui Zhang, Gang Li, Zebin Guan, Jian Wu, Shuo Bu, Jinchuan Chai

IJCAI 2024 AI-Enhanced Virtual Reality in Medicine: A Comprehensive Survey Yixuan Wu, Kaiyuan Hu, Danny Z. Chen, Jian Wu

AAAI 2024 Arithmetic Feature Interaction Is Necessary for Deep Tabular Learning Yi Cheng, Renjun Hu, Haochao Ying, Xing Shi, Jian Wu, Wei Lin

NeurIPS 2024 Bridge-if: Learning Inverse Protein Folding with Markov Bridges Yiheng Zhu, Jialu Wu, Qiuyi Li, Jiahuan Yan, Mingze Yin, Wei Wu, Mingyang Li, Jieping Ye, Zheng Wang, Jian Wu

ECCV 2024 DetToolChain: A New Prompting Paradigm to Unleash Detection Ability of MLLM Yixuan Wu, Yizhou Wang, Shixiang Tang, Wenhao Wu, Tong He, Wanli Ouyang, Philip Torr, Jian Wu

AAAI 2024 ETDPC: A Multimodality Framework for Classifying Pages in Electronic Theses and Dissertations Muntabir Hasan Choudhury, Lamia Salsabil, William A. Ingram, Edward A. Fox, Jian Wu

NeurIPSW 2024 Enhancing Medical VQA with Multimodal Determination Rationales Xiaotang Gai, Chenyi Zhou, Jiaxiang Liu, Yang Feng, Jian Wu, Zuozhu Liu

NeurIPS 2024 Enhancing Semi-Supervised Learning via Representative and Diverse Sample Selection Qian Shao, Jiangrui Kang, Qiyuan Chen, Zepeng Li, Hongxia Xu, Yiwen Cao, Jiajuan Liang, Jian Wu

ICLR 2024 FedLoGe: Joint Local and Generic Federated Learning Under Long-Tailed Data Zikai Xiao, Zihan Chen, Liyinglan Liu, Yang Feng, Joey Tianyi Zhou, Jian Wu, Wanlu Liu, Howard Hao Yang, Zuozhu Liu

MIDL 2024 MFIF-Net: A Multi-Focal Image Fusion Network for Implantation Outcome Prediction of Blastocyst Yi Cheng, Tingting Chen, Yaojun Hu, Xiangqian Meng, Zuozhu Liu, Danny Chen, Jian Wu, Haochao Ying

ICLR 2024 Making Pre-Trained Language Models Great on Tabular Prediction Jiahuan Yan, Bo Zheng, Hongxia Xu, Yiheng Zhu, Danny Chen, Jimeng Sun, Jian Wu, Jintai Chen

CVPR 2024 MedM2G: Unifying Medical Multi-Modal Generation via Cross-Guided Diffusion with Visual Invariant Chenlu Zhan, Yu Lin, Gaoang Wang, Hongwei Wang, Jian Wu

IJCAI 2024 Personalized Heart Disease Detection via ECG Digital Twin Generation Yaojun Hu, Jintai Chen, Lianting Hu, Dantong Li, Jiahuan Yan, Haochao Ying, Huiying Liang, Jian Wu

NeurIPS 2023 Fast Model DeBias with Machine Unlearning Ruizhe Chen, Jianfei Yang, Huimin Xiong, Jianhong Bai, Tianxiang Hu, Jin Hao, Yang Feng, Joey Tianyi Zhou, Jian Wu, Zuozhu Liu

NeurIPS 2023 Fed-GraB: Federated Long-Tailed Learning with Self-Adjusting Gradient Balancer Zikai Xiao, Zihan Chen, Songshang Liu, Hualiang Wang, Yang Feng, Jin Hao, Joey Tianyi Zhou, Jian Wu, Howard Hua Yang, Zuozhu Liu

IJCAI 2023 MolHF: A Hierarchical Normalizing Flow for Molecular Graph Generation Yiheng Zhu, Zhenqiu Ouyang, Ben Liao, Jialu Wu, Yixuan Wu, Chang-Yu Hsieh, Tingjun Hou, Jian Wu

ICCV 2023 Ord2Seq: Regarding Ordinal Regression as Label Sequence Prediction Jinhong Wang, Yi Cheng, Jintai Chen, TingTing Chen, Danny Chen, Jian Wu

IJCAI 2023 Robust Image Ordinal Regression with Controllable Image Generation Yi Cheng, Haochao Ying, Renjun Hu, Jinhong Wang, Wenhao Zheng, Xiao Zhang, Danny Z. Chen, Jian Wu

NeurIPS 2023 Sample-Efficient Multi-Objective Molecular Optimization with GFlowNets Yiheng Zhu, Jialu Wu, Chaowen Hu, Jiahuan Yan, Kim Hsieh, Tingjun Hou, Jian Wu

AAAI 2023 T2G-FORMER: Organizing Tabular Features into Relation Graphs Promotes Heterogeneous Feature Interaction Jiahuan Yan, Jintai Chen, Yixuan Wu, Danny Z. Chen, Jian Wu

ICLR 2023 TabCaps: A Capsule Neural Network for Tabular Data Classification with BoW Routing Jintai Chen, KuanLun Liao, Yanwen Fang, Danny Chen, Jian Wu

NeurIPS 2023 Towards Distribution-Agnostic Generalized Category Discovery Jianhong Bai, Zuozhu Liu, Hualiang Wang, Ruizhe Chen, Lianrui Mu, Xiaomeng Li, Joey Tianyi Zhou, Yang Feng, Jian Wu, Haoji Hu

AAAI 2022 A Synthetic Prediction Market for Estimating Confidence in Published Work Sarah Michele Rajtmajer, Christopher Griffin, Jian Wu, Robert Fraleigh, Laxmaan Balaji, Anna Cinzia Squicciarini, Anthony Kwasnica, David M. Pennock, Michael McLaughlin, Timothy Fritton, Nishanth Nakshatri, Arjun Manoj Menon, Sai Ajay Modukuri, Rajal Nivargi, Xin Wei, C. Lee Giles

AAAI 2022 DANets: Deep Abstract Networks for Tabular Data Classification and Regression Jintai Chen, Kuanlun Liao, Yao Wan, Danny Z. Chen, Jian Wu

WACV 2022 DeepPatent: Large Scale Patent Drawing Recognition and Retrieval Michal Kucer, Diane Oyen, Juan Castorena, Jian Wu

ICML 2022 ME-GAN: Learning Panoptic Electrocardio Representations for Multi-View ECG Synthesis Conditioned on Heart Diseases Jintai Chen, Kuanlun Liao, Kun Wei, Haochao Ying, Danny Z Chen, Jian Wu

AAAI 2022 Segmenting Technical Drawing Figures in US Patents Md Reshad Ul Hoque, Xin Wei, Muntabir Hasan Choudhury, Kehinde Ajayi, Martin Gryder, Jian Wu, Diane Oyen

IJCAI 2022 Sound2Synth: Interpreting Sound via FM Synthesizer Parameters Estimation Zui Chen, Yansen Jing, Shengcheng Yuan, Yifei Xu, Jian Wu, Hang Zhao

ICML 2021 A Receptor Skeleton for Capsule Neural Networks Jintai Chen, Hongyun Yu, Chengde Qian, Danny Z Chen, Jian Wu

IJCAI 2021 Dig into Multi-Modal Cues for Video Retrieval with Hierarchical Alignment Wenzhe Wang, Mengdan Zhang, Runnan Chen, Guanyu Cai, Penghao Zhou, Pai Peng, Xiaowei Guo, Jian Wu, Xing Sun

IJCAI 2021 Electrocardio Panorama: Synthesizing New ECG Views with Self-Supervision Jintai Chen, Xiangshang Zheng, Hongyun Yu, Danny Z. Chen, Jian Wu

AAAI 2021 To Choose or to Fuse? Scale Selection for Crowd Counting Qingyu Song, Changan Wang, Yabiao Wang, Ying Tai, Chengjie Wang, Jilin Li, Jian Wu, Jiayi Ma

AAAI 2019 Cleaning Noisy and Heterogeneous Metadata for Record Linking Across Scholarly Big Datasets Athar Sefid, Jian Wu, Allen C. Ge, Jing Zhao, Lu Liu, Cornelia Caragea, Prasenjit Mitra, C. Lee Giles

ICCVW 2019 End-to-End Partial Convolutions Neural Networks for Dunhuang Grottoes Wall-Painting Restoration Tianxiu Yu, Cong Lin, Shijie Zhang, Shaodi You, Xiaohong Ding, Jian Wu, Jiawan Zhang

UAI 2019 Practical Multi-Fidelity Bayesian Optimization for Hyperparameter Tuning Jian Wu, Saul Toscano-Palmerin, Peter I. Frazier, Andrew Gordon Wilson

NeurIPS 2019 Practical Two-Step Lookahead Bayesian Optimization Jian Wu, Peter Frazier

IJCAI 2018 Sequential Recommender System Based on Hierarchical Attention Networks Haochao Ying, Fuzhen Zhuang, Fuzheng Zhang, Yanchi Liu, Guandong Xu, Xing Xie, Hui Xiong, Jian Wu

NeurIPS 2017 Bayesian Optimization with Gradients Jian Wu, Matthias Poloczek, Andrew G Wilson, Peter Frazier

AAAI 2016 Document Type Classification in Online Digital Libraries Cornelia Caragea, Jian Wu, Sujatha Das Gollapalli, C. Lee Giles

NeurIPS 2016 The Parallel Knowledge Gradient Method for Batch Bayesian Optimization Jian Wu, Peter Frazier

ECML-PKDD 2015 Online Learning of Deep Hybrid Architectures for Semi-Supervised Categorization Alexander G. Ororbia Ii, David Reitter, Jian Wu, C. Lee Giles

AAAI 2014 CiteSeerX: AI in a Digital Library Search Engine Jian Wu, Kyle Mark Williams, Hung-Hsuan Chen, Madian Khabsa, Cornelia Caragea, Alexander Ororbia, Douglas Jordan, C. Lee Giles

CVPR 1989 A Contour-Based Recovery of Image Flow: Iterative Method Jian Wu, Roger W. Brockett, Kwangyoen Wohn

CVPR 1988 Convected Activation Profiles and the Measurement of Visual Motion Allen M. Waxman, Jian Wu, Fredrik Bergholm

NeurIPS 1988 Neural Analog Diffusion-Enhancement Layer and Spatio-Temporal Grouping in Early Vision Allen M. Waxman, Michael Seibert, Robert K. Cunningham, Jian Wu

AAAI 1986 3-D Motion Recovery from Time-Varying Optical Flows Kwangyoen Wohn, Jian Wu