Mono3D++: Monocular 3D Vehicle Detection with Two-Scale 3D Hypotheses and Task Priors. - Tong He 002; Stefano Soatto (AAAI, 2019)

GeoNet: Deep Geodesic Networks for Point Cloud Analysis. - Tong He 002; Haibin Huang; Li Yi 001; Yuqian Zhou; Chihao Wu 001; Jue Wang 001; Stefano Soatto (CVPR, 2019)

Bag of Tricks for Image Classification with Convolutional Neural Networks. - Tong He 002; Zhi Zhang 005; Hang Zhang 005; Zhongyue Zhang; Junyuan Xie; Mu Li 003 (CVPR, 2019)

GIF2Video: Color Dequantization and Temporal Interpolation of GIF Images. - Yang Wang 097; Haibin Huang; Chuan Wang 001; Tong He 002; Jue Wang 001; Minh Hoai (CVPR, 2019)

Bag of Freebies for Training Object Detection Neural Networks. - Zhi Zhang 005; Tong He 002; Hang Zhang 005; Zhongyue Zhang; Junyuan Xie; Mu Li 003 (CoRR, 2019)

Dynamic Mini-batch SGD for Elastic Distributed Training: Learning in the Limbo of Resources. - Haibin Lin; Hang Zhang 005; Yifei Ma; Tong He 002; Zhi Zhang 005; Sheng Zha; Mu Li 003 (CoRR, 2019)

GluonCV and GluonNLP: Deep Learning in Computer Vision and Natural Language Processing. - Jian Guo; He He 001; Tong He 002; Leonard Lausen; Mu Li 003; Haibin Lin; Xingjian Shi; Chenguang Wang 001; Junyuan Xie; Sheng Zha; Aston Zhang; Hang Zhang 005; et al. (CoRR, 2019)

LaTeS: Latent Space Distillation for Teacher-Student Driving Policy Learning. - Albert Zhao; Tong He 002; Yitao Liang; Haibin Huang; Guy Van den Broeck; Stefano Soatto (CoRR, 2019)

Focusing and Diffusion: Bidirectional Attentive Graph Convolutional Networks for Skeleton-based Action Recognition. - Jialin Gao; Tong He 002; Xi Zhou; Shiming Ge (CoRR, 2019)

DeepVoxels++: Enhancing the Fidelity of Novel View Synthesis from 3D Voxel Embeddings. - Tong He 002; John P. Collomosse; Hailin Jin; Stefano Soatto (ACCV (1), 2020)

SAM: Squeeze-and-Mimic Networks for Conditional Visual Driving Policy Learning. - Albert Zhao; Tong He 002; Yitao Liang; Haibin Huang; Guy Van den Broeck; Stefano Soatto (CoRL, 2020)

Geo-PIFu: Geometry and Pixel Aligned Implicit Functions for Single-view Human Reconstruction. - Tong He 002; John P. Collomosse; Hailin Jin; Stefano Soatto (NeurIPS, 2020)

Improving Semantic Segmentation via Self-Training. - Yi Zhu 001; Zhongyue Zhang; Chongruo Wu; Zhi Zhang 005; Tong He 002; Hang Zhang 005; R. Manmatha; Mu Li 003; Alexander J. Smola (CoRR, 2020)

GluonCV and GluonNLP: Deep Learning in Computer Vision and Natural Language Processing. - Jian Guo; He He 001; Tong He 002; Leonard Lausen; Mu Li 003; Haibin Lin; Xingjian Shi; Chenguang Wang 001; Junyuan Xie; Sheng Zha; Aston Zhang; Hang Zhang 005; et al. (J. Mach. Learn. Res., 2020)

ARCH++: Animation-Ready Clothed Human Reconstruction Revisited. - Tong He 002; Yuanlu Xu; Shunsuke Saito; Stefano Soatto; Tony Tung (ICCV, 2021)

Learning Hierarchical Graph Neural Networks for Image Clustering. - Yifan Xing; Tong He 002; Tianjun Xiao; Yongxin Wang; Yuanjun Xiong; Wei Xia; David Wipf; Zheng Zhang 001; Stefano Soatto (ICCV, 2021)

GRIN: Generative Relation and Intention Network for Multi-agent Trajectory Prediction. - Longyuan Li; Jian Yao 004; Li K. Wenliang; Tong He 002; Tianjun Xiao; Junchi Yan; David Wipf; Zheng Zhang 001 (NeurIPS, 2021)

Progressive Coordinate Transforms for Monocular 3D Object Detection. - Li Wang 033; Li Zhang 040; Yi Zhu 001; Zhi Zhang 005; Tong He 002; Mu Li 003; Xiangyang Xue 001 (NeurIPS, 2021)

Skeleton-Based Action Recognition With Focusing-Diffusion Graph Convolutional Networks. - Jialin Gao; Tong He 002; Xi Zhou; Shiming Ge (IEEE Signal Process. Lett., 2021)

Deep 3D Embodied Visual Recognition. - Tong He 002 (2021)

ResNeSt: Split-Attention Networks. - Hang Zhang 005; Chongruo Wu; Zhongyue Zhang; Yi Zhu 001; Haibin Lin; Zhi Zhang 005; Yue Sun; Tong He 002; Jonas Mueller 001; R. Manmatha; Mu Li 003; Alexander J. Smola (CVPR Workshops, 2022)

PSS: Progressive Sample Selection for Open-World Visual Representation Learning. - Tianyue Cao; Yongxin Wang; Yifan Xing; Tianjun Xiao; Tong He 002; Zheng Zhang 001; Hao Zhou 012; Joseph Tighe (ECCV (31), 2022)

Self-supervised Amodal Video Object Segmentation. - Jian Yao 004; Yuxin Hong; Chiyu Wang; Tianjun Xiao; Tong He 002; Francesco Locatello; David P. Wipf; Yanwei Fu 001; Zheng Zhang 001 (NeurIPS, 2022)

Learning Manifold Dimensions with Conditional Variational Autoencoders. - Yijia Zheng 001; Tong He 002; Yixuan Qiu; David P. Wipf (NeurIPS, 2022)

Unsupervised Open-Vocabulary Object Localization in Videos. - Ke Fan; Zechen Bai; Tianjun Xiao; Dominik Zietlow; Max Horn; Zixu Zhao; Carl-Johann Simon-Gabriel; Mike Zheng Shou; Francesco Locatello; Bernt Schiele; Thomas Brox; Zheng Zhang 001; et al. (ICCV, 2023)

Rethinking Amodal Video Segmentation from Learning Supervised Signals with Object-centric Representation. - Ke Fan; Jingshi Lei; Xuelin Qian; Miaopeng Yu; Tianjun Xiao; Tong He 002; Zheng Zhang 001; Yanwei Fu 001 (ICCV, 2023)

Coarse-to-Fine Amodal Segmentation with Shape Prior. - Jianxiong Gao; Xuelin Qian; Yikai Wang 002; Tianjun Xiao; Tong He 002; Zheng Zhang 001; Yanwei Fu 001 (ICCV, 2023)

Object-Centric Multiple Object Tracking. - Zixu Zhao; Jiaze Wang; Max Horn; Yizhuo Ding; Tong He 002; Zechen Bai; Dominik Zietlow; Carl-Johann Simon-Gabriel; Bing Shuai; Zhuowen Tu; Thomas Brox; Bernt Schiele; et al. (ICCV, 2023)

Bridging the Gap to Real-World Object-Centric Learning. - Maximilian Seitzer; Max Horn; Andrii Zadaianchuk; Dominik Zietlow; Tianjun Xiao; Carl-Johann Simon-Gabriel; Tong He 002; Zheng Zhang 001; Bernhard Schölkopf; Thomas Brox; Francesco Locatello (ICLR, 2023)

LayoutDiffuse: Adapting Foundational Diffusion Models for Layout-to-Image Generation. - Jiaxin Cheng; Xiao Liang; Xingjian Shi; Tong He 002; Tianjun Xiao; Mu Li 003 (CoRR, 2023)

Learning for Open-World Calibration with Graph Neural Networks. - Qin Zhang; Dongsheng An; Tianjun Xiao; Tong He 002; Qingming Tang; Ying Nian Wu; Joseph Tighe; Yifan Xing (CoRR, 2023)

Graph Machine Learning through the Lens of Bilevel Optimization. - Amber Yijia Zheng; Tong He 002; Yixuan Qiu; Minjie Wang; David Wipf (AISTATS, 2024)

Adaptive Slot Attention: Object Discovery with Dynamic Slot Number. - Ke Fan; Zechen Bai; Tianjun Xiao; Tong He 002; Max Horn; Yanwei Fu 001; Francesco Locatello; Zheng Zhang 001 (CVPR, 2024)

Learning for Transductive Threshold Calibration in Open-World Recognition. - Qin Zhang; Dongsheng An; Tianjun Xiao; Tong He 002; Qingming Tang; Ying Nian Wu; Joseph Tighe; Yifan Xing (CVPR, 2024)

Consistent Video-to-Video Transfer Using Synthetic Dataset. - Jiaxin Cheng; Tianjun Xiao; Tong He 002 (ICLR, 2024)

One Token to Seg Them All: Language Instructed Reasoning Segmentation in Videos. - Zechen Bai; Tong He 002; Haiyang Mei; Pichao Wang; Ziteng Gao; Joya Chen; Lei Liu; Zheng Zhang 001; Mike Zheng Shou (NeurIPS, 2024)

Rethinking The Training And Evaluation of Rich-Context Layout-to-Image Generation. - Jiaxin Cheng; Zixu Zhao; Tong He 002; Tianjun Xiao; Zheng Zhang 001; Yicong Zhou (NeurIPS, 2024)

Unified Lexical Representation for Interpretable Visual-Language Alignment. - Yifan Li; Yikai Wang 002; Yanwei Fu 001; Dongyu Ru; Zheng Zhang 001; Tong He 002 (NeurIPS, 2024)

RAGChecker: A Fine-grained Framework for Diagnosing Retrieval-Augmented Generation. - Dongyu Ru; Lin Qiu; Xiangkun Hu; Tianhang Zhang; Peng Shi 010; Shuaichen Chang; Cheng Jiayang; Cunxiang Wang; Shichao Sun; Huanyu Li 010; Zizhao Zhang; Binjie Wang; et al. (NeurIPS, 2024)

BloomGML: Graph Machine Learning through the Lens of Bilevel Optimization. - Amber Yijia Zheng; Tong He 002; Yixuan Qiu; Minjie Wang; David Wipf (CoRR, 2024)

Hallucination of Multimodal Large Language Models: A Survey. - Zechen Bai; Pichao Wang; Tianjun Xiao; Tong He 002; Zongbo Han; Zheng Zhang 001; Mike Zheng Shou (CoRR, 2024)

New Desiderata for Direct Preference Optimization. - Xiangkun Hu; Tong He 002; David Wipf (CoRR, 2024)

GQE: Generalized Query Expansion for Enhanced Text-Video Retrieval. - Zechen Bai; Tianjun Xiao; Tong He 002; Pichao Wang; Zheng Zhang 001; Thomas Brox; Mike Zheng Shou (CoRR, 2024)

VideoSAM: Open-World Video Segmentation. - Pinxue Guo; Zixu Zhao; Jianxiong Gao; Chongruo Wu; Tong He 002; Zheng Zhang 001; Tianjun Xiao; Wenqiang Zhang (CoRR, 2024)

Factorized Visual Tokenization and Generation. - Zechen Bai; Jianxiong Gao; Ziteng Gao; Pichao Wang; Zheng Zhang 001; Tong He 002; Mike Zheng Shou (CoRR, 2024)

Improving Semantic Segmentation via Efficient Self-Training. - Yi Zhu 001; Zhongyue Zhang; Chongruo Wu; Zhi Zhang 005; Tong He 002; Hang Zhang 005; R. Manmatha; Mu Li 003; Alexander J. Smola (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Common Learning Constraints Alter Interpretations of Direct Preference Optimization. - Lemin Kong; Xiangkun Hu; Tong He 002; David Wipf (AISTATS, 2025)

Bridging Information Asymmetry in Text-video Retrieval: A Data-centric Approach. - Zechen Bai; Tianjun Xiao; Tong He 002; Pichao Wang; Zheng Zhang 001; Thomas Brox; Mike Zheng Shou (ICLR, 2025)

Sparse Autoencoders, Again? - Yin Lu; Xuening Zhu; Tong He 002; David Wipf (CoRR, 2025)

Explicit Preference Optimization: No Need for an Implicit Reward Model. - Xiangkun Hu; Lemin Kong; Tong He 002; David Wipf (CoRR, 2025)