Wang, Tong

43 publications

WACV 2025 A Regional-Level Resource-Saving Model for Winter Road Surface Snow Detection in Extreme Weathers Xinhao Zhou, Tong Wang, Zhaodong Liu, Hao Wei, Guangyuan Pan

ICML 2025 Clients Collaborate: Flexible Differentially Private Federated Learning with Guaranteed Improvement of Utility-Privacy Trade-Off Yuecheng Li, Lele Fu, Tong Wang, Jian Lou, Bin Chen, Lei Yang, Jian Shen, Zibin Zheng, Chuan Chen

CVPR 2025 GlyphMastero: A Glyph Encoder for High-Fidelity Scene Text Editing Tong Wang, Ting Liu, Xiaochao Qu, Chengjing Wu, Luoqi Liu, Xiaolin Hu

ICCV 2025 LIRA: Reasoning Reconstruction via Multimodal Large Language Models Zhen Zhou, Tong Wang, Yunkai Ma, Xiao Tan, Fengshui Jing

CVPR 2025 ODA-GAN: Orthogonal Decoupling Alignment GAN Assisted by Weakly-Supervised Learning for Virtual Immunohistochemistry Staining Tong Wang, Mingkang Wang, Zhongze Wang, Hongkai Wang, Qi Xu, Fengyu Cong, Hongming Xu

NeurIPS 2025 ProtoPairNet: Interpretable Regression Through Prototypical Pair Reasoning Rose Gurung, Ronilo Ragodos, Chiyu Ma, Tong Wang, Chaofan Chen

NeurIPS 2025 RayFusion: Ray Fusion Enhanced Collaborative Visual Perception Shaohong Wang, Bin Lu, Xinyu Xiao, Hanzhi Zhong, Bowen Pang, Tong Wang, Zhiyu Xiang, Hangguan Shan, Eryun Liu

NeurIPS 2025 Self-Assembling Graph Perceptrons Jialong Chen, Tong Wang, Bowen Deng, Luonan Chen, Zibin Zheng, Chuan Chen

AAAI 2025 THESAURUS: Contrastive Graph Clustering by Swapping Fused Gromov-Wasserstein Couplings Bowen Deng, Tong Wang, Lele Fu, Sheng Huang, Chuan Chen, Tao Zhang

ICLRW 2024 Demystify the Secret Function in Protein Sequence via Conditional Diffusion Models Yaoyao Xu, Xuxi Chen, Tong Wang, Huan He, Tianlong Chen, Manolis Kellis

ECCV 2024 Energy-Induced Explicit Quantification for Multi-Modality MRI Fusion Xiaoming Qi, Yuan Zhang, Tong Wang, Guanyu Yang, Yueming Jin, Shuo Li

ICMLW 2024 EquiTorch: A Modularized Package for Flexibly Constructing Equivariant GNNs Building upon PyTorch-Geometric Tong Wang, Chuan Chen

NeurIPS 2024 Improving Decision Sparsity Yiyang Sun, Tong Wang, Cynthia Rudin

AAAI 2024 Inspecting Prediction Confidence for Detecting Black-Box Backdoor Attacks Tong Wang, Yuan Yao, Feng Xu, Miao Xu, Shengwei An, Ting Wang

ICLR 2024 Long-Short-Range Message-Passing: A Physics-Informed Framework to Capture Non-Local Interaction for Scalable Molecular Dynamics Simulation Yunyang Li, Yusong Wang, Lin Huang, Han Yang, Xinran Wei, Jia Zhang, Tong Wang, Zun Wang, Bin Shao, Tie-Yan Liu

ECCV 2024 OPEN: Object-Wise Position Embedding for Multi-View 3D Object Detection Jinghua Hou, Tong Wang, Xiaoqing Ye, Zhe Liu, Shi Gong, Xiao Tan, Errui Ding, Jingdong Wang, Xiang Bai

ECCV 2024 SEED: A Simple and Effective 3D DETR in Point Clouds Zhe Liu, Jinghua Hou, Xiaoqing Ye, Tong Wang, Jingdong Wang, Xiang Bai

AAAI 2024 Semantic-Aware Autoregressive Image Modeling for Visual Representation Learning Kaiyou Song, Shan Zhang, Tong Wang

AISTATS 2024 Sparse and Faithful Explanations Without Sparse Models Yiyang Sun, Zhi Chen, Vittorio Orlandi, Tong Wang, Cynthia Rudin

NeurIPS 2023 DropPos: Pre-Training Vision Transformers by Reconstructing Dropped Positions Haochen Wang, Junsong Fan, Yuxi Wang, Kaiyou Song, Tong Wang, Zhao-Xiang Zhang

NeurIPS 2023 Efficiently Incorporating Quintuple Interactions into Geometric Deep Learning Force Fields Zun Wang, Guoqing Liu, Yichi Zhou, Tong Wang, Bin Shao

NeurIPS 2023 Geometric Transformer with Interatomic Positional Encoding Yusong Wang, Shaoning Li, Tong Wang, Bin Shao, Nanning Zheng, Tie-Yan Liu

JMLR 2023 ProtoryNet - Interpretable Text Classification via Prototype Trajectories Dat Hong, Tong Wang, Stephen Baek

ICCV 2023 Semantics-Consistent Feature Search for Self-Supervised Visual Representation Learning Kaiyou Song, Shan Zhang, Zimeng Luo, Tong Wang, Jin Xie

ICMLW 2023 Toward Testing Deep Learning Library via Model Fuzzing Wei Kong, Huayang Cao, Tong Wang, Yuanping Nie, Hu Li, Xiaohui Kuang

ECCV 2022 An Invisible Black-Box Backdoor Attack Through Frequency Domain Tong Wang, Yuan Yao, Feng Xu, Shengwei An, Hanghang Tong, Ting Wang

CVPR 2022 C2AM Loss: Chasing a Better Decision Boundary for Long-Tail Object Detection Tong Wang, Yousong Zhu, Yingying Chen, Chaoyang Zhao, Bin Yu, Jinqiao Wang, Ming Tang

TMLR 2022 Direct Molecular Conformation Generation Jinhua Zhu, Yingce Xia, Chang Liu, Lijun Wu, Shufang Xie, Yusong Wang, Tong Wang, Tao Qin, Wengang Zhou, Houqiang Li, Haiguang Liu, Tie-Yan Liu

AutoML 2022 Meta-Adapters: Parameter Efficient Few-Shot Fine-Tuning Through Meta-Learning Trapit Bansal, Salaheddin Alzubi, Tong Wang, Jay-Yoon Lee, Andrew McCallum

NeurIPS 2022 ProtoX: Explaining a Reinforcement Learning Agent via Prototyping Ronilo Ragodos, Tong Wang, Qihang Lin, Xun Zhou

CVPR 2021 Adaptive Class Suppression Loss for Long-Tail Object Detection Tong Wang, Yousong Zhu, Chaoyang Zhao, Wei Zeng, Jinqiao Wang, Ming Tang

JMLR 2021 Hybrid Predictive Models: When an Interpretable Model Collaborates with a Black-Box Model Tong Wang, Qihang Lin

AISTATS 2020 Interpretable Companions for Black-Box Models Danqing Pan, Tong Wang, Satoshi Hara

ECCV 2020 Large Batch Optimization for Object Detection: Training COCO in 12 Minutes Tong Wang, Yousong Zhu, Chaoyang Zhao, Wei Zeng, Yaowei Wang, Jinqiao Wang, Ming Tang

ICML 2020 Transparency Promotion with Model-Agnostic Linear Competitors Hassan Rafique, Tong Wang, Qihang Lin, Arshia Singhani

ICML 2019 Gaining Free or Low-Cost Interpretability with Interpretable Partial Substitute Tong Wang

NeurIPS 2019 Metalearned Neural Memory Tsendsuren Munkhdalai, Alessandro Sordoni, Tong Wang, Adam Trischler

AAAI 2018 A Semantic QA-Based Approach for Text Summarization Evaluation Ping Chen, Fei Wu, Tong Wang, Wei Ding

NeurIPS 2018 Multi-Value Rule Sets for Interpretable Classification with Feature-Efficient Representations Tong Wang

JMLR 2017 A Bayesian Framework for Learning Rule Sets for Interpretable Classification Tong Wang, Cynthia Rudin, Finale Doshi-Velez, Yimin Liu, Erica Klampfl, Perry MacNeille

IJCAI 2017 Predicting the Quality of Short Narratives from Social Media Tong Wang, Ping Chen, Boyang Li

AAAI 2016 Text Simplification Using Neural Machine Translation Tong Wang, Ping Chen, John Rochford, Jipeng Qiang

ECML-PKDD 2013 Learning to Detect Patterns of Crime Tong Wang, Cynthia Rudin, Daniel Wagner, Rich Sevieri