An Optimized Hardware Video Encoder for AVS with Level C+ Data Reuse Scheme for Motion Estimation. - Kaijin Wei; Rongwei Zhou; Shanghang Zhang; Huizhu Jia; Don Xie; Wen Gao 001 (ICME, 2012)

A flexible and high-performance hardware video encoder architecture. - Kaijin Wei; Shanghang Zhang; Huizhu Jia; Don Xie; Wen Gao 001 (PCS, 2012)

An efficient foreground-based surveillance video coding scheme in low bit-rate compression. - Shanghang Zhang; Kaijin Wei; Huizhu Jia; Xiaodong Xie; Wen Gao 001 (VCIP, 2012)

A high-throughput low-latency arithmetic encoder design for HDTV. - Yuan Li 014; Shanghang Zhang; Huizhu Jia; Xiaodong Xie; Wen Gao 001 (ISCAS, 2013)

On a Highly Efficient RDO-Based Mode Decision Pipeline Design for AVS. - Chuang Zhu; Huizhu Jia; Shanghang Zhang; Xiaofeng Huang; Xiaodong Xie; Wen Gao 001 (IEEE Trans. Multim., 2013)

Bayesian model fusion: Enabling test cost reduction of analog/RF circuits via wafer-level spatial variation modeling. - Shanghang Zhang; Xin Li 001; Ronald D. Blanton; José Machado da Silva; John M. Carulli Jr.; Kenneth M. Butler (ITC, 2014)

Traffic flow from a low frame rate city camera. - Evgeny Toropov; Liangyan Gui; Shanghang Zhang; Satwik Kottur; José M. F. Moura (ICIP, 2015)

Understanding Traffic Density from Large-Scale Web Camera Data. - Shanghang Zhang; Guanhang Wu; João Paulo Costeira; José M. F. Moura (CVPR, 2017)

FCN-rLSTM: Deep Spatio-Temporal Neural Networks for Vehicle Counting in City Cameras. - Shanghang Zhang; Guanhang Wu; João Paulo Costeira; José M. F. Moura (ICCV, 2017)

Multiple Source Domain Adaptation with Adversarial Training of Neural Networks. - Han Zhao 002; Shanghang Zhang; Guanhang Wu; João Paulo Costeira; José M. F. Moura; Geoffrey J. Gordon (CoRR, 2017)

Topology adaptive graph convolutional networks. - Jian Du 001; Shanghang Zhang; Guanhang Wu; José M. F. Moura; Soummya Kar (CoRR, 2017)

Learning to Understand Image Blur. - Shanghang Zhang; Xiaohui Shen; Zhe Lin 001; Radomír Mech; João Paulo Costeira; José M. F. Moura (CVPR, 2018)

A Deep Learning Approach to IoT Authentication. - Rajshekhar Das; Akshay Gadre; Shanghang Zhang; Swarun Kumar; José M. F. Moura (ICC, 2018)

Multiple Source Domain Adaptation with Adversarial Learning. - Han Zhao 002; Shanghang Zhang; Guanhang Wu; João Paulo Costeira; José M. F. Moura; Geoffrey J. Gordon (ICLR (Workshop), 2018)

Adversarial Multiple Source Domain Adaptation. - Han Zhao 002; Shanghang Zhang; Guanhang Wu; José M. F. Moura; João Paulo Costeira; Geoffrey J. Gordon (NeurIPS, 2018)

Hierarchical Attention Networks for Knowledge Base Completion via Joint Adversarial Training. - Chen Li 046; Xutan Peng; Shanghang Zhang; Jianxin Li 002; Lihong Wang (CoRR, 2018)

Deep Understanding of Urban Mobility from CityscapeWebcams. - Shanghang Zhang (2018)

MaCow: Masked Convolutional Generative Flow. - Xuezhe Ma; Xiang Kong; Shanghang Zhang; Eduard H. Hovy (NeurIPS, 2019)

Dual Adversarial Semantics-Consistent Network for Generalized Zero-Shot Learning. - Jian Ni; Shanghang Zhang; Haiyong Xie 001 (NeurIPS, 2019)

Feature Fusion for Image Retrieval With Adaptive Bitrate Allocation and Hard Negative Mining. - Chuang Zhu; Huihui Dong; Shanghang Zhang (IEEE Access, 2019)

Generalized Zero-shot ICD Coding. - Congzheng Song; Shanghang Zhang; Najmeh Sadoughi; Pengtao Xie; Eric P. Xing (CoRR, 2019)

Multi-Source Distilling Domain Adaptation. - Sicheng Zhao; Guangzhi Wang; Shanghang Zhang; Yang Gu; Yaxian Li; Zhichao Song; Pengfei Xu 013; Runbo Hu; Hua Chai; Kurt Keutzer (AAAI, 2020)

TCGM: An Information-Theoretic Framework for Semi-supervised Multi-modality Learning. - Xinwei Sun 001; Yilun Xu; Peng Cao 004; Yuqing Kong; Lingjing Hu; Shanghang Zhang; Yizhou Wang 001 (ECCV (3), 2020)

Instance Adaptive Self-training for Unsupervised Domain Adaptation. - Ke Mei; Chuang Zhu; Jiaqi Zou; Shanghang Zhang (ECCV (26), 2020)

Generalized Zero-Shot Text Classification for ICD Coding. - Congzheng Song; Shanghang Zhang; Najmeh Sadoughi; Pengtao Xie; Eric P. Xing (IJCAI, 2020)

Compositional Few-Shot Recognition with Primitive Discovery and Enhancing. - Yixiong Zou; Shanghang Zhang; Ke Chen 004; Yonghong Tian 001; Yaowei Wang 001; José M. F. Moura (ACM Multimedia, 2020)

Decoupling Global and Local Representations from/for Image Generation. - Xuezhe Ma; Xiang Kong; Shanghang Zhang; Eduard H. Hovy (CoRR, 2020)

Rethinking Distributional Matching Based Domain Adaptation. - Bo Li 080; Yezhen Wang; Tong Che; Shanghang Zhang; Sicheng Zhao; Pengfei Xu 013; Wei Zhou; Yoshua Bengio; Kurt Keutzer (CoRR, 2020)

Transfer Learning or Self-supervised Learning? A Tale of Two Pretraining Paradigms. - Xingyi Yang; Xuehai He; Yuxiao Liang; Yue Yang; Shanghang Zhang; Pengtao Xie (CoRR, 2020)

Revisiting Mid-Level Patterns for Distant-Domain Few-Shot Recognition. - Yixiong Zou; Shanghang Zhang; José M. F. Moura; Jianpeng Yu; Yonghong Tian 001 (CoRR, 2020)

Cross-Domain Sentiment Classification with In-Domain Contrastive Learning. - Tian Li; Xiang Chen; Shanghang Zhang; Zhen Dong 003; Kurt Keutzer (CoRR, 2020)

P4Contrast: Contrastive Learning with Pairs of Point-Pixel Pairs for RGB-D Scene Understanding. - Yunze Liu; Li Yi 001; Shanghang Zhang; Qingnan Fan; Thomas A. Funkhouser; Hao Dong 003 (CoRR, 2020)

Modeling relation paths for knowledge base completion via joint adversarial training. - Chen Li 046; Xutan Peng; Shanghang Zhang; Hao Peng 001; Philip S. Yu; Min He; Linfeng Du; Lihong Wang (Knowl. Based Syst., 2020)

Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting. - Haoyi Zhou; Shanghang Zhang; Jieqi Peng; Shuai Zhang 026; Jianxin Li 002; Hui Xiong 001; Wancai Zhang (AAAI, 2021)

Learning Invariant Representations and Risks for Semi-Supervised Domain Adaptation. - Bo Li 080; Yezhen Wang; Shanghang Zhang; Dongsheng Li 002; Kurt Keutzer; Trevor Darrell; Han Zhao 002 (CVPR, 2021)

Prototypical Cross-Domain Self-Supervised Learning for Few-Shot Unsupervised Domain Adaptation. - Xiangyu Yue 001; Zangwei Zheng; Shanghang Zhang; Yang Gao 029; Trevor Darrell; Kurt Keutzer; Alberto L. Sangiovanni-Vincentelli (CVPR, 2021)

Cross-Domain Sentiment Classification with Contrastive Learning and Mutual Information Maximization. - Tian Li; Xiang Chen; Shanghang Zhang; Zhen Dong 003; Kurt Keutzer (ICASSP, 2021)

Contrastive Multimodal Fusion with TupleInfoNCE. - Yunze Liu; Qingnan Fan; Shanghang Zhang; Hao Dong 003; Thomas A. Funkhouser; Li Yi 001 (ICCV, 2021)

Unsupervised Domain Adaptive 3D Detection with Multi-Level Consistency. - Zhipeng Luo; Zhongang Cai; Changqing Zhou; Gongjie Zhang; Haiyu Zhao; Shuai Yi; Shijian Lu; Hongsheng Li 001; Shanghang Zhang; Ziwei Liu 002 (ICCV, 2021)

MERITS: Medication Recommendation for Chronic Disease with Irregular Time-Series. - Shuai Zhang 026; Jianxin Li 002; Haoyi Zhou; Qishan Zhu; Shanghang Zhang; Danding Wang (ICDM, 2021)

Decoupling Global and Local Representations via Invertible Generative Flows. - Xuezhe Ma; Xiang Kong; Shanghang Zhang; Eduard H. Hovy (ICLR, 2021)

Triplet Attention: Rethinking the Similarity in Transformers. - Haoyi Zhou; Jianxin Li 002; Jieqi Peng; Shuai Zhang 026; Shanghang Zhang (KDD, 2021)

Annotation-Efficient Untrimmed Video Action Recognition. - Yixiong Zou; Shanghang Zhang; Guangyao Chen; Yonghong Tian 001; Kurt Keutzer; José M. F. Moura (ACM Multimedia, 2021)

Revisiting Mid-Level Patterns for Cross-Domain Few-Shot Recognition. - Yixiong Zou; Shanghang Zhang; Jianpeng Yu; Yonghong Tian 001; José M. F. Moura (ACM Multimedia, 2021)

Differentiable Spike: Rethinking Gradient-Descent for Training Spiking Neural Networks. - Yuhang Li 001; Yufei Guo; Shanghang Zhang; Shikuang Deng; Yongqing Hai; Shi Gu (NeurIPS, 2021)

Delving Deep into the Generalization of Vision Transformers under Distribution Shifts. - Chongzhi Zhang; Mingyuan Zhang; Shanghang Zhang; Daisheng Jin; Qiang Zhou; Zhongang Cai; Haiyu Zhao; Shuai Yi; Xianglong Liu 001; Ziwei Liu 002 (CoRR, 2021)

2nd Place Solution for VisDA 2021 Challenge - Universally Domain Adaptive Image Recognition. - Haojin Liao; Xiaolin Song; Sicheng Zhao; Shanghang Zhang; Xiangyu Yue 001; Xingxu Yao; Yueming Zhang; Tengfei Xing; Pengfei Xu 013; Qiang Wang 051 (CoRR, 2021)

Learning graph attention-aware knowledge graph embedding. - Chen Li 046; Xutan Peng; Yuhang Niu; Shanghang Zhang; Hao Peng 001; Chuan Zhou 001; Jianxin Li 002 (Neurocomputing, 2021)

Online Continual Adaptation with Active Self-Training. - Shiji Zhou; Han Zhao 002; Shanghang Zhang; Lianzhe Wang; Heng Chang; Zhi Wang 001; Wenwu Zhu 001 (AISTATS, 2022)

Delving Deep into the Generalization of Vision Transformers under Distribution Shifts. - Chongzhi Zhang; Mingyuan Zhang; Shanghang Zhang; Daisheng Jin; Qiang Zhou; Zhongang Cai; Haiyu Zhao; Xianglong Liu 001; Ziwei Liu 002 (CVPR, 2022)

Efficient Meta-Tuning for Content-Aware Neural Video Delivery. - Xiaoqi Li 009; Jiaming Liu 003; Shizun Wang; Cheng Lyu; Ming Lu; Yurong Chen 001; Anbang Yao; Yandong Guo; Shanghang Zhang (ECCV (18), 2022)

MTTrans: Cross-domain Object Detection with Mean Teacher Transformer. - Jinze Yu 002; Jiaming Liu 003; Xiaobao Wei; Haoyi Zhou; Yohei Nakata; Denis A. Gudovskiy; Tomoyuki Okuno; Jianxin Li 002; Kurt Keutzer; Shanghang Zhang (ECCV (9), 2022)

Temporal Efficient Training of Spiking Neural Network via Gradient Re-weighting. - Shikuang Deng; Yuhang Li 001; Shanghang Zhang; Shi Gu (ICLR, 2022)

DNA: Domain Generalization with Diversified Neural Averaging. - Xu Chu; Yujie Jin; Wenwu Zhu 001; Yasha Wang; Xin Wang 019; Shanghang Zhang; Hong Mei 001 (ICML, 2022)

Prototype-Voxel Contrastive Learning for LiDAR Point Cloud Panoptic Segmentation. - Minzhe Liu; Qiang Zhou; Hengshuang Zhao; Jianing Li 001; Yuan Du; Kurt Keutzer; Li Du; Shanghang Zhang (ICRA, 2022)

Domain-Adaptive Text Classification with Structured Knowledge from Unlabeled Data. - Tian Li; Xiang Chen; Zhen Dong 003; Kurt Keutzer; Shanghang Zhang (IJCAI, 2022)

Outlier Suppression: Pushing the Limit of Low-bit Transformer Language Models. - Xiuying Wei; Yunchen Zhang; Xiangguo Zhang; Ruihao Gong; Shanghang Zhang; Qi Zhang; Fengwei Yu; Xianglong Liu 001 (NeurIPS, 2022)

Jump Self-attention: Capturing High-order Statistics in Transformers. - Haoyi Zhou; Siyang Xiao; Shanghang Zhang; Jieqi Peng; Shuai Zhang 026; Jianxin Li 002 (NeurIPS, 2022)

Margin-Based Few-Shot Class-Incremental Learning with Class-Level Overfitting Mitigation. - Yixiong Zou; Shanghang Zhang; Yuhua Li 003; Ruixuan Li 001 (NeurIPS, 2022)

Self-Supervised Pretraining Improves Self-Supervised Pretraining. - Colorado J. Reed; Xiangyu Yue 001; Ani Nrusimha; Sayna Ebrahimi; Vivek Vijaykumar; Richard Mao; Bo Li 080; Shanghang Zhang; Devin Guillory; Sean Metzger; Kurt Keutzer; Trevor Darrell (WACV, 2022)

Cross-Domain Object Detection with Mean-Teacher Transformer. - Jinze Yu 001; Jiaming Liu 003; Xiaobao Wei; Haoyi Zhou; Yohei Nakata; Denis A. Gudovskiy; Tomoyuki Okuno; Jianxin Li 002; Kurt Keutzer; Shanghang Zhang (CoRR, 2022)

UnrealNAS: Can We Search Neural Architectures with Unreal Data? - Zhen Dong 003; Kaicheng Zhou; Guohao Li 001; Qiang Zhou; Mingfei Guo; Bernard Ghanem; Kurt Keutzer; Shanghang Zhang (CoRR, 2022)

Domain-Adaptive Text Classification with Structured Knowledge from Unlabeled Data. - Tian Li; Xiang Chen; Zhen Dong 003; Weijiang Yu; Yijun Yan; Kurt Keutzer; Shanghang Zhang (CoRR, 2022)

Open-Vocabulary 3D Detection via Image-level Class and Debiased Cross-modal Contrastive Learning. - Yuheng Lu; Chenfeng Xu; Xiaobao Wei; Xiaodong Xie; Masayoshi Tomizuka; Kurt Keutzer; Shanghang Zhang (CoRR, 2022)

Unsupervised Spike Depth Estimation via Cross-modality Cross-domain Knowledge Transfer. - Jiaming Liu 003; Qizhe Zhang; Jianing Li 001; Ming Lu; Tiejun Huang 001; Shanghang Zhang (CoRR, 2022)

Uncertainty Guided Depth Fusion for Spike Camera. - Jianing Li 001; Jiaming Liu 003; Xiaobao Wei; Jiyuan Zhang; Ming Lu; Lei Ma 008; Li Du; Tiejun Huang 001; Shanghang Zhang (CoRR, 2022)

PointCLIP V2: Adapting CLIP for Powerful 3D Open-world Learning. - Xiangyang Zhu; Renrui Zhang; Bowei He; Ziyao Zeng; Shanghang Zhang; Peng Gao 007 (CoRR, 2022)

Multi-latent Space Alignments for Unsupervised Domain Adaptation in Multi-view 3D Object Detection. - Jiaming Liu 003; Rongyu Zhang; Xiaowei Chi; Xiaoqi Li 009; Ming Lu; Yandong Guo; Shanghang Zhang (CoRR, 2022)

BEV-LGKD: A Unified LiDAR-Guided Knowledge Distillation Framework for BEV 3D Object Detection. - Jianing Li 001; Ming Lu; Jiaming Liu 003; Yandong Guo; Li Du; Shanghang Zhang (CoRR, 2022)

Active Gradual Domain Adaptation: Dataset and Approach. - Shiji Zhou; Lianzhe Wang; Shanghang Zhang; Zhi Wang 001; Wenwu Zhu 001 (IEEE Trans. Multim., 2022)

A Review of Single-Source Deep Unsupervised Visual Domain Adaptation. - Sicheng Zhao; Xiangyu Yue 001; Shanghang Zhang; Bo Li 080; Han Zhao 002; Bichen Wu; Ravi Krishna; Joseph E. Gonzalez; Alberto L. Sangiovanni-Vincentelli; Sanjit A. Seshia; Kurt Keutzer (IEEE Trans. Neural Networks Learn. Syst., 2022)

PiMAE: Point Cloud and Image Interactive Masked Autoencoders for 3D Object Detection. - Anthony Chen; Kevin Zhang; Renrui Zhang; Zihan Wang; Yuheng Lu; Yandong Guo; Shanghang Zhang (CVPR, 2023)

BEV-SAN: Accurate BEV 3D Object Detection via Slice Attention Networks. - Xiaowei Chi; Jiaming Liu 003; Ming Lu; Rongyu Zhang; Zhaoqing Wang; Yandong Guo; Shanghang Zhang (CVPR, 2023)

Cloud-Device Collaborative Adaptation to Continual Changing Environments in the Real-World. - Yulu Gan; Mingjie Pan; Rongyu Zhang; Zijian Ling; Lingran Zhao; Jiaming Liu 003; Shanghang Zhang (CVPR, 2023)

MSINet: Twins Contrastive Search of Multi-Scale Interaction for Object ReID. - Jianyang Gu; Kai Wang 036; Hao Luo 004; Chen Chen 114; Wei Jiang 009; Yuqiang Fang; Shanghang Zhang; Yang You 001; Jian Zhao 006 (CVPR, 2023)

NoisyQuant: Noisy Bias-Enhanced Post-Training Activation Quantization for Vision Transformers. - Yijiang Liu; Huanrui Yang; Zhen Dong 003; Kurt Keutzer; Li Du; Shanghang Zhang (CVPR, 2023)

Open-Vocabulary Point-Cloud Object Detection without 3D Annotation. - Yuheng Lu; Chenfeng Xu; Xiaobao Wei; Xiaodong Xie; Masayoshi Tomizuka; Kurt Keutzer; Shanghang Zhang (CVPR, 2023)

Annealing-based Label-Transfer Learning for Open World Object Detection. - Yuqing Ma; Hainan Li; Zhange Zhang; Jinyang Guo; Shanghang Zhang; Ruihao Gong; Xianglong Liu 001 (CVPR, 2023)

Improving Generalization of Meta-Learning with Inverted Regularization at Inner-Level. - Lianzhe Wang; Shiji Zhou; Shanghang Zhang; Xu Chu; Heng Chang; Wenwu Zhu 001 (CVPR, 2023)

CSQ: Growing Mixed-Precision Quantization Scheme with Bi-level Continuous Sparsification. - Lirui Xiao; Huanrui Yang; Zhen Dong 003; Kurt Keutzer; Li Du; Shanghang Zhang (DAC, 2023)

BadRes: Reveal the Backdoors Through Residual Connection. - Mingrui He; Tianyu Chen; Haoyi Zhou; Shanghang Zhang; Jianxin Li 002 (ICASSP, 2023)

Q-Diffusion: Quantizing Diffusion Models. - Xiuyu Li; Yijiang Liu; Long Lian; Huanrui Yang; Zhen Dong 003; Daniel Kang; Shanghang Zhang; Kurt Keutzer (ICCV, 2023)

QD-BEV : Quantization-aware View-guided Distillation for Multi-view 3D Object Detection. - Yifan Zhang; Zhen Dong 003; Huanrui Yang; Ming Lu; Cheng-Ching Tseng; Yuan Du; Kurt Keutzer; Li Du; Shanghang Zhang (ICCV, 2023)

PointCLIP V2: Prompting CLIP and GPT for Powerful 3D Open-world Learning. - Xiangyang Zhu; Renrui Zhang; Bowei He; Ziyu Guo; Ziyao Zeng; Zipeng Qin; Shanghang Zhang; Peng Gao 007 (ICCV, 2023)

Wasserstein Barycenter Matching for Graph Size Generalization of Message Passing Neural Networks. - Xu Chu; Yujie Jin; Xin Wang 019; Shanghang Zhang; Yasha Wang; Wenwu Zhu 001; Hong Mei 001 (ICML, 2023)

Uncertainty-Aware Dynamic Learning for Cross-Domain Few-Shot Scene Classification from Remote Sensing Imagery. - Can Li; He Chen 004; Yin Zhuang; Shanghang Zhang (IGARSS, 2023)

A Text Prompt-Based Approach for Zero-Shot Corner Case Object Detection in Autonomous Driving. - Tianqi Liu; Shanghang Zhang; Yanjun Qin; Xiaoming Tao 001 (ITSC, 2023)

Electroencephalogram-Based Driver Emotional State Detection with Manifold Learning. - Wenqi Zhang; Yanjun Qin; Shanghang Zhang; Xiaoming Tao 001 (ITSC, 2023)

DiffuseIR: Diffusion Models for Isotropic Reconstruction of 3D Microscopic Images. - Mingjie Pan; Yulu Gan; Fangxu Zhou; Jiaming Liu 003; Ying Zhang; Aimin Wang; Shanghang Zhang; Dawei Li (MICCAI (10), 2023)

PAD: A Dataset and Benchmark for Pose-agnostic Anomaly Detection. - Qiang Zhou; Weize Li 001; Lihan Jiang; Guoliang Wang 002; Guyue Zhou; Shanghang Zhang; Hao Zhao 002 (NeurIPS, 2023)

RepCaM: Re-parameterization Content-aware Modulation for Neural Video Delivery. - Rongyu Zhang; Lixuan Du; Jiaming Liu 003; Congcong Song; Fangxin Wang 001; Xiaoqi Li 009; Ming Lu; Yandong Guo; Shanghang Zhang (NOSSDAV, 2023)

When Visible Light (Backscatter) Communication Meets Neuromorphic Cameras in V2X. - Kenuo Xu; Kexing Zhou; Chengxuan Zhu; Shanghang Zhang; Boxin Shi; Xiaoqiang Li; Tiejun Huang 001; Chenren Xu (HotMobile, 2023)

Exploring Sparse Visual Prompt for Cross-domain Semantic Segmentation. - Senqiao Yang; Jiarui Wu; Jiaming Liu 003; Xiaoqi Li 009; Qizhe Zhang; Mingjie Pan; Yulu Gan; Shanghang Zhang (CoRR, 2023)

MoWE: Mixture of Weather Experts for Multiple Adverse Weather Removal. - Yulin Luo; Rui Zhao 010; Xiaobao Wei; Jinwei Chen; Yijie Lu; Shenghao Xie; Tianyu Wang; Ruiqin Xiong; Ming Lu; Shanghang Zhang (CoRR, 2023)

Chain of Thought Prompt Tuning in Vision Language Models. - Jiaxin Ge; Hongyin Luo; Siyuan Qian; Yulu Gan; Jie Fu 001; Shanghang Zhang (CoRR, 2023)

Integer or Floating Point? New Outlooks for Low-Bit Quantization on Large Language Models. - Yijia Zhang; Lingran Zhao; Shijie Cao; Wenqiang Wang; Ting Cao; Fan Yang 024; Mao Yang 004; Shanghang Zhang; Ningyi Xu (CoRR, 2023)

ViDA: Homeostatic Visual Domain Adapter for Continual Test Time Adaptation. - Jiaming Liu 003; Senqiao Yang; Peidong Jia; Ming Lu; Yandong Guo; Wei Xue 002; Shanghang Zhang (CoRR, 2023)

UniOcc: Unifying Vision-Centric 3D Occupancy Prediction with Geometric and Semantic Rendering. - Mingjie Pan; Li Liu; Jiaming Liu 003; Peixiang Huang; Longlong Wang; Shanghang Zhang; Shaoqing Xu; Zhiyi Lai; Kuiyuan Yang (CoRR, 2023)

DiffuseIR: Diffusion Models For Isotropic Reconstruction of 3D Microscopic Images. - Mingjie Pan; Yulu Gan; Fangxu Zhou; Jiaming Liu 003; Aimin Wang; Shanghang Zhang; Dawei Li (CoRR, 2023)

PM-DETR: Domain Adaptive Prompt Memory for Object Detection with Transformers. - Peidong Jia; Jiaming Liu 003; Senqiao Yang; Jiarui Wu; Xiaodong Xie; Shanghang Zhang (CoRR, 2023)

RenderOcc: Vision-Centric 3D Occupancy Prediction with 2D Rendering Supervision. - Mingjie Pan; Jiaming Liu 003; Renrui Zhang; Peixiang Huang; Xiaoqi Li 009; Li Liu; Shanghang Zhang (CoRR, 2023)

NOC: High-Quality Neural Object Cloning with 3D Lifting of Segment Anything. - Xiaobao Wei; Renrui Zhang; Jiarui Wu; Jiaming Liu 003; Ming Lu; Yandong Guo; Shanghang Zhang (CoRR, 2023)

Distribution-Aware Continual Test Time Adaptation for Semantic Segmentation. - Jiayi Ni; Senqiao Yang; Jiaming Liu 003; Xiaoqi Li 009; Wenyu Jiao; Ran Xu 013; Zehui Chen; Yi Liu; Shanghang Zhang (CoRR, 2023)

Heterogenous Memory Augmented Neural Networks. - Zihan Qiu; Zhen Liu; Shuicheng Yan; Shanghang Zhang; Jie Fu 001 (CoRR, 2023)

COLE: A Hierarchical Generation Framework for Graphic Design. - Peidong Jia; Chenxuan Li; Zeyu Liu; Yichao Shen 001; Xingru Chen; Yuhui Yuan; Yinglin Zheng; Dong Chen 003; Ji Li 006; Xiaodong Xie; Shanghang Zhang; Baining Guo (CoRR, 2023)

ChatIllusion: Efficient-Aligning Interleaved Generation ability with Visual Instruction Model. - Xiaowei Chi; Yijiang Liu; Zhengkai Jiang 001; Rongyu Zhang; Ziyi Lin; Renrui Zhang; Peng Gao 007; Chaoyou Fu; Shanghang Zhang; Qifeng Liu; Yike Guo (CoRR, 2023)

MoEC: Mixture of Experts Implicit Neural Compression. - Jianchen Zhao; Cheng-Ching Tseng; Ming Lu; Ruichuan An; Xiaobao Wei; He Sun 010; Shanghang Zhang (CoRR, 2023)

Split & Merge: Unlocking the Potential of Visual Adapters via Sparse Training. - Qizhe Zhang; Bocheng Zou; Ruichuan An; Jiaming Liu 003; Shanghang Zhang (CoRR, 2023)

Customize-It-3D: High-Quality 3D Creation from A Single Image Using Subject-Specific Knowledge Prior. - Nan Huang; Ting Zhang 002; Yuhui Yuan; Dong Chen 003; Shanghang Zhang (CoRR, 2023)

Adaptive Distribution Masked Autoencoders for Continual Test-Time Adaptation. - Jiaming Liu 003; Ran Xu 013; Senqiao Yang; Renrui Zhang; Qizhe Zhang; Zehui Chen; Yandong Guo; Shanghang Zhang (CoRR, 2023)

LiDAR-LLM: Exploring the Potential of Large Language Models for 3D LiDAR Understanding. - Senqiao Yang; Jiaming Liu 003; Ray Zhang 002; Mingjie Pan; Zoey Guo; Xiaoqi Li 009; Zehui Chen; Peng Gao 007; Yandong Guo; Shanghang Zhang (CoRR, 2023)

FM-OV3D: Foundation Model-based Cross-modal Knowledge Blending for Open-Vocabulary 3D Detection. - Dongmei Zhang; Chang Li; Ray Zhang 002; Shenghao Xie; Wei Xue 002; Xiaodong Xie; Shanghang Zhang (CoRR, 2023)

Iterative Prompt Relabeling for diffusion model with RLDF. - Jiaxin Ge; Xinyan Chen 001; Tianjun Zhang; Shanghang Zhang (CoRR, 2023)

Cloud-Device Collaborative Learning for Multimodal Large Language Models. - Guanqun Wang; Jiaming Liu 003; Chenxuan Li; Junpeng Ma; Yuan Zhang 020; Xinyu Wei; Kevin Zhang; Maurice Chong; Ray Zhang 002; Yijiang Liu; Shanghang Zhang (CoRR, 2023)

Efficient Deweather Mixture-of-Experts with Uncertainty-aware Feature-wise Linear Modulation. - Rongyu Zhang; Yulin Luo; Jiaming Liu 003; Huanrui Yang; Zhen Dong 003; Denis A. Gudovskiy; Tomoyuki Okuno; Yohei Nakata; Kurt Keutzer; Yuan Du; Shanghang Zhang (CoRR, 2023)

Caching in Dynamic Environments: A Near-Optimal Online Learning Approach. - Shiji Zhou; Zhi Wang 001; Chenghao Hu; Yinan Mao; Haopeng Yan; Shanghang Zhang; Chuan Wu 001; Wenwu Zhu 001 (IEEE Trans. Multim., 2023)

P2FEViT: Plug-and-Play CNN Feature Embedded Hybrid Vision Transformer for Remote Sensing Image Classification. - Guanqun Wang; He Chen 004; Liang Chen 004; Yin Zhuang; Shanghang Zhang; Tong Zhang 028; Hao Dong 003; Peng Gao 007 (Remote. Sens., 2023)

Expanding the prediction capacity in long sequence time-series forecasting. - Haoyi Zhou; Jianxin Li 002; Shanghang Zhang; Shuai Zhang 026; Mengyi Yan; Hui Xiong 001 (Artif. Intell., 2023)

Learning Deep Features for Robotic Inference From Physical Interactions. - Atabak Dehban; Shanghang Zhang; Nino Cauli; Lorenzo Jamone; José Santos-Victor (IEEE Trans. Cogn. Dev. Syst., 2023)

Frame-Recurrent Video Crowd Counting. - Yi Hou; Shanghang Zhang; Rui Ma; Huizhu Jia; Xiaodong Xie (IEEE Trans. Circuits Syst. Video Technol., 2023)

Leveraging Imagery Data with Spatial Point Prior for Weakly Semi-supervised 3D Object Detection. - Hongzhi Gao; Zheng Chen; Zehui Chen; Lin Chen 019; Jiaming Liu 003; Shanghang Zhang; Feng Zhao 004 (AAAI, 2024)

Exploring Sparse Visual Prompt for Domain Adaptive Dense Prediction. - Senqiao Yang; Jiarui Wu; Jiaming Liu 003; Xiaoqi Li 009; Qizhe Zhang; Mingjie Pan; Yulu Gan; Zehui Chen; Shanghang Zhang (AAAI, 2024)

Efficient Deweahter Mixture-of-Experts with Uncertainty-Aware Feature-Wise Linear Modulation. - Rongyu Zhang; Yulin Luo; Jiaming Liu 003; Huanrui Yang; Zhen Dong 003; Denis A. Gudovskiy; Tomoyuki Okuno; Yohei Nakata; Kurt Keutzer; Yuan Du; Shanghang Zhang (AAAI, 2024)

FM-OV3D: Foundation Model-Based Cross-Modal Knowledge Blending for Open-Vocabulary 3D Detection. - Dongmei Zhang; Chang Li; Renrui Zhang; Shenghao Xie; Wei Xue 002; Xiaodong Xie; Shanghang Zhang (AAAI, 2024)

Continual-MAE: Adaptive Distribution Masked Autoencoders for Continual Test-Time Adaptation. - Jiaming Liu 003; Ran Xu 013; Senqiao Yang; Renrui Zhang; Qizhe Zhang; Zehui Chen; Yandong Guo; Shanghang Zhang (CVPR, 2024)

Weakly-Supervised Emotion Transition Learning for Diverse 3D Co-Speech Gesture Generation. - Xingqun Qi; Jiahao Pan; Peng Li; Ruibin Yuan; Xiaowei Chi; Mengfei Li; Wenhan Luo; Wei Xue 002; Shanghang Zhang; Qifeng Liu; Yike Guo (CVPR, 2024)

Cloud-Device Collaborative Learning for Multimodal Large Language Models. - Guanqun Wang; Jiaming Liu 003; Chenxuan Li; Yuan Zhang 020; Junpeng Ma; Xinyu Wei; Kevin Zhang; Maurice Chong; Renrui Zhang; Yijiang Liu; Shanghang Zhang (CVPR, 2024)

NTO3D: Neural Target Object 3D Reconstruction with Segment Anything. - Xiaobao Wei; Renrui Zhang; Jiarui Wu; Jiaming Liu 003; Ming Lu; Yandong Guo; Shanghang Zhang (CVPR, 2024)

PromptCoT: Align Prompt Distribution via Adapted Chain-of-Thought. - Junyi Yao; Yijiang Liu; Zhen Dong 003; Mingfei Guo; Helan Hu; Kurt Keutzer; Li Du; Daquan Zhou; Shanghang Zhang (CVPR, 2024)

FreeKD: Knowledge Distillation via Semantic Frequency Prompt. - Yuan Zhang 020; Tao Huang 020; Jiaming Liu 003; Tao Jiang; Kuan Cheng; Shanghang Zhang (CVPR, 2024)

Gradient-based Parameter Selection for Efficient Fine-Tuning. - Zhi Zhang 009; Qizhe Zhang; Zijun Gao; Renrui Zhang; Ekaterina Shutova; Shiji Zhou; Shanghang Zhang (CVPR, 2024)

LLM as Dataset Analyst: Subpopulation Structure Discovery with Large Language Model. - Yulin Luo; Ruichuan An; Bocheng Zou; Yiming Tang; Jiaming Liu 003; Shanghang Zhang (ECCV (33), 2024)

I-MedSAM: Implicit Medical Image Segmentation with Segment Anything. - Xiaobao Wei; Jiajun Cao; Yizhu Jin; Ming Lu; Guangyu Wang; Shanghang Zhang (ECCV (10), 2024)

Learning from Mistakes: Iterative Prompt Relabeling for Text-to-Image Diffusion Model Training. - Xinyan Chen 001; Jiaxin Ge; Tianjun Zhang; Jiaming Liu 003; Shanghang Zhang (EMNLP (Findings), 2024)

Unleashing the Potentials of Likelihood Composition for Multi-modal Language Models. - Shitian Zhao; Renrui Zhang; Xu Luo; Yan Wang; Shanghang Zhang; Peng Gao 007 (EMNLP (Findings), 2024)

ChatEval: Towards Better LLM-based Evaluators through Multi-Agent Debate. - Chi-Min Chan; Weize Chen; Yusheng Su; Jianxuan Yu; Wei Xue 002; Shanghang Zhang; Jie Fu 001; Zhiyuan Liu 001 (ICLR, 2024)

ViDA: Homeostatic Visual Domain Adapter for Continual Test Time Adaptation. - Jiaming Liu 003; Senqiao Yang; Peidong Jia; Renrui Zhang; Ming Lu; Yandong Guo; Wei Xue 002; Shanghang Zhang (ICLR, 2024)

Enhanced Blind Watermarking Against Black-Box Noise: Leveraging CIN Framework. - Rui Ma; Mengxi Guo; Peidong Jia; Chenxuan Li; Yi Hou; Yuan Li 014; Xiaodong Xie; Shanghang Zhang (ICME, 2024)

VLUReID: Exploiting Vision-Language Knowledge for Unsupervised Person Re-Identification. - Dongmei Zhang; Ray Zhang 002; Fan Yang 053; Yuan Li 014; Huizhu Jia; Xiaodong Xie; Shanghang Zhang (ICME, 2024)

Integer or Floating Point? New Outlooks for Low-Bit Quantization on Large Language Models. - Yijia Zhang; Lingran Zhao; Shijie Cao; Sicheng Zhang; Wenqiang Wang; Ting Cao; Fan Yang 024; Mao Yang 004; Shanghang Zhang; Ningyi Xu (ICME, 2024)

Split-Ensemble: Efficient OOD-aware Ensemble via Task and Model Splitting. - Anthony Chen; Huanrui Yang; Yulu Gan; Denis A. Gudovskiy; Zhen Dong 003; Haofan Wang; Tomoyuki Okuno; Yohei Nakata; Kurt Keutzer; Shanghang Zhang (ICML, 2024)

VoroNav: Voronoi-based Zero-shot Object Navigation with Large Language Model. - Pengying Wu; Yao Mu 001; Bingxian Wu; Yi Hou; Ji Ma 007; Shanghang Zhang; Chang Liu 002 (ICML, 2024)

Compositional Few-Shot Class-Incremental Learning. - Yixiong Zou; Shanghang Zhang; Haichen Zhou; Yuhua Li 003; Ruixuan Li 001 (ICML, 2024)

BEVUDA: Multi-geometric Space Alignments for Domain Adaptive BEV 3D Object Detection. - Jiaming Liu 003; Rongyu Zhang; Xiaoqi Li 020; Xiaowei Chi; Zehui Chen; Ming Lu; Yandong Guo; Shanghang Zhang (ICRA, 2024)

Unsupervised Spike Depth Estimation via Cross-modality Cross-domain Knowledge Transfer. - Jiaming Liu 003; Qizhe Zhang; Xiaoqi Li 020; Jianing Li 001; Guanqun Wang; Ming Lu; Tiejun Huang 001; Shanghang Zhang (ICRA, 2024)

Distribution-Aware Continual Test-Time Adaptation for Semantic Segmentation. - Jiayi Ni; Senqiao Yang; Ran Xu 013; Jiaming Liu 003; Xiaoqi Li 020; Wenyu Jiao; Zehui Chen; Yi Liu; Shanghang Zhang (ICRA, 2024)

RenderOcc: Vision-Centric 3D Occupancy Prediction with 2D Rendering Supervision. - Mingjie Pan; Jiaming Liu 003; Renrui Zhang; Peixiang Huang; Xiaoqi Li 020; Hongwei Xie; Bing Wang; Li Liu; Shanghang Zhang (ICRA, 2024)

VeCAF: Vision-language Collaborative Active Finetuning with Training Objective Awareness. - Rongyu Zhang; Zefan Cai; Huanrui Yang; Zidong Liu; Denis A. Gudovskiy; Tomoyuki Okuno; Yohei Nakata; Kurt Keutzer; Baobao Chang; Yuan Du; Li Du; Shanghang Zhang (ACM Multimedia, 2024)

Unveiling the Tapestry of Consistency in Large Vision-Language Models. - Yuan Zhang 020; Fei Xiao; Tao Huang 020; Chun-Kai Fan; Hongyuan Dong; Jiawen Li 006; Jiacong Wang; Kuan Cheng; Shanghang Zhang; Haoyuan Guo (NeurIPS, 2024)

Era3D: High-Resolution Multiview Diffusion using Efficient Row-wise Attention. - Peng Li; Yuan Liu 025; Xiaoxiao Long; Feihu Zhang; Cheng Lin 001; Mengfei Li; Xingqun Qi; Shanghang Zhang; Wei Xue 002; Wenhan Luo; Ping Tan; Wenping Wang 001; et al. (NeurIPS, 2024)

RoboMamba: Efficient Vision-Language-Action Model for Robotic Reasoning and Manipulation. - Jiaming Liu 003; Mengzhen Liu; Zhenyu Wang 002; Pengju An; Xiaoqi Li 020; Kaichen Zhou; Senqiao Yang; Renrui Zhang; Yandong Guo; Shanghang Zhang (NeurIPS, 2024)

TCP: Triplet Contrastive-relationship Preserving for Class-Incremental Learning. - Shiyao Li; Xuefei Ning; Shanghang Zhang; Lidong Guo; Tianchen Zhao; Huazhong Yang; Yu Wang 002 (WACV, 2024)

RustNeRF: Robust Neural Radiance Field with Low-Quality Images. - Mengfei Li; Ming Lu; Xiaofang Li; Shanghang Zhang (CoRR, 2024)

VeCAF: VLM-empowered Collaborative Active Finetuning with Training Objective Awareness. - Rongyu Zhang; Zefan Cai; Huanrui Yang; Zidong Liu; Denis A. Gudovskiy; Tomoyuki Okuno; Yohei Nakata; Kurt Keutzer; Baobao Chang; Yuan Du; Li Du; Shanghang Zhang (CoRR, 2024)

Proximity QA: Unleashing the Power of Multi-Modal Large Language Models for Spatial Proximity Analysis. - Jianing Li 001; Xi Nan; Ming Lu; Li Du; Shanghang Zhang (CoRR, 2024)

Building Flexible Machine Learning Models for Scientific Computing at Scale. - Tianyu Chen; Haoyi Zhou; Ying Li; Hao Wang 073; Chonghan Gao; Shanghang Zhang; Jianxin Li 002 (CoRR, 2024)

A Vanilla Multi-Task Framework for Dense Visual Prediction Solution to 1st VCL Challenge - Multi-Task Robustness Track. - Zehui Chen; Qiuchen Wang; Zhenyu Li; Jiaming Liu 003; Shanghang Zhang; Feng Zhao 004 (CoRR, 2024)

DesignEdit: Multi-Layered Latent Decomposition and Fusion for Unified & Accurate Image Editing. - Yueru Jia; Yuhui Yuan; Aosong Cheng; Chuke Wang; Ji Li 006; Huizhu Jia; Shanghang Zhang (CoRR, 2024)

Point-DETR3D: Leveraging Imagery Data with Spatial Point Prior for Weakly Semi-supervised 3D Object Detection. - Hongzhi Gao; Zheng Chen; Zehui Chen; Lin Chen 019; Jiaming Liu 003; Shanghang Zhang; Feng Zhao 004 (CoRR, 2024)

SpikeNVS: Enhancing Novel View Synthesis from Blurry Images via Spike Camera. - Gaole Dai; Zhenyu Wang 002; Qinwen Xu; Ming Lu; Wen Chen; Boxin Shi; Shanghang Zhang; Tie-Jun Huang 001 (CoRR, 2024)

Any2Point: Empowering Any-modality Large Models for Efficient 3D Understanding. - Yiwen Tang; Jiaming Liu 003; Dong Wang 028; Zhigang Wang 002; Shanghang Zhang; Bin Zhao 001; Xuelong Li 001 (CoRR, 2024)

Intuition-aware Mixture-of-Rank-1-Experts for Parameter Efficient Finetuning. - Yijiang Liu; Rongyu Zhang; Huanrui Yang; Kurt Keutzer; Yuan Du; Li Du; Shanghang Zhang (CoRR, 2024)

Era3D: High-Resolution Multiview Diffusion using Efficient Row-wise Attention. - Peng Li; Yuan Liu 025; Xiaoxiao Long; Feihu Zhang; Cheng Lin 001; Mengfei Li; Xingqun Qi; Shanghang Zhang; Wenhan Luo; Ping Tan; Wenping Wang 001; Qifeng Liu; et al. (CoRR, 2024)

Decomposing the Neurons: Activation Sparsity via Mixture of Experts for Continual Test Time Adaptation. - Rongyu Zhang; Aosong Cheng; Yulin Luo; Gaole Dai; Huanrui Yang; Jiaming Liu 003; Ran Xu 013; Li Du; Yuan Du; Yanbing Jiang; Shanghang Zhang (CoRR, 2024)

Self-Corrected Multimodal Large Language Model for End-to-End Robot Manipulation. - Jiaming Liu 003; Chenxuan Li; Guanqun Wang; Lily Lee; Kaichen Zhou; Sixiang Chen; Chuyan Xiong; Jiaxin Ge; Renrui Zhang; Shanghang Zhang (CoRR, 2024)

Implicit Neural Image Field for Biological Microscopy Image Compression. - Gaole Dai; Cheng-Ching Tseng; Qingpo Wuwu; Rongyu Zhang; Shaokang Wang; Ming Lu; Tiejun Huang 001; Yu Zhou; Ali Ata Tuz; Matthias Gunzer; Jianxu Chen 001; Shanghang Zhang (CoRR, 2024)

S3Gaussian: Self-Supervised Street Gaussians for Autonomous Driving. - Nan Huang; Xiaobao Wei; Wenzhao Zheng; Pengju An; Ming Lu; Wei Zhan; Masayoshi Tomizuka; Kurt Keutzer; Shanghang Zhang (CoRR, 2024)

RoboMamba: Multimodal State Space Model for Efficient Robot Reasoning and Manipulation. - Jiaming Liu 003; Mengzhen Liu; Zhenyu Wang 002; Lily Lee; Kaichen Zhou; Pengju An; Senqiao Yang; Renrui Zhang; Yandong Guo; Shanghang Zhang (CoRR, 2024)

MR-MLLM: Mutual Reinforcement of Multimodal Comprehension and Vision Perception. - Guanqun Wang; Xinyu Wei; Jiaming Liu 003; Ray Zhang 002; Yichi Zhang; Kevin Zhang; Maurice Chong; Shanghang Zhang (CoRR, 2024)

Fisher-aware Quantization for DETR Detectors with Critical-category Objectives. - Huanrui Yang; Yafeng Huang; Zhen Dong 003; Denis A. Gudovskiy; Tomoyuki Okuno; Yohei Nakata; Yuan Du; Kurt Keutzer; Shanghang Zhang (CoRR, 2024)

MAVIS: Mathematical Visual Instruction Tuning. - Renrui Zhang; Xinyu Wei; Dongzhi Jiang; Yichi Zhang; Ziyu Guo; Chengzhuo Tong; Jiaming Liu 003; Aojun Zhou; Bin Wei; Shanghang Zhang; Peng Gao 007; Hongsheng Li 001 (CoRR, 2024)

Multimodal Large Language Models for Bioimage Analysis. - Shanghang Zhang; Gaole Dai; Tie-Jun Huang 001; Jianxu Chen 001 (CoRR, 2024)

MMTrail: A Multimodal Trailer Video Dataset with Language and Music Descriptions. - Xiaowei Chi; Yatian Wang; Aosong Cheng; Pengjun Fang; Zeyue Tian; Yingqing He; Zhaoyang Liu 001; Xingqun Qi; Jiahao Pan; Rongyu Zhang; Mengfei Li; Ruibin Yuan; et al. (CoRR, 2024)

FactorLLM: Factorizing Knowledge via Mixture of Experts for Large Language Models. - Zhongyu Zhao; Menghang Dong; Rongyu Zhang; Wenzhao Zheng; Yunpeng Zhang; Huanrui Yang; Dalong Du; Kurt Keutzer; Shanghang Zhang (CoRR, 2024)

Discovering Long-Term Effects on Parameter Efficient Fine-tuning. - Gaole Dai; Yiming Tang; Chunkai Fan; Qizhe Zhang; Zhi Zhang 009; Yulu Gan; Chengqing Zeng; Shanghang Zhang; Tiejun Huang 001 (CoRR, 2024)

Expert-level vision-language foundation model for real-world radiology and comprehensive evaluation. - Xiaohong Liu; Guoxing Yang; Yulin Luo; Jiaji Mao; Xiang Zhang; Ming Gao; Shanghang Zhang; Jun Shen; Guangyu Wang (CoRR, 2024)

SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference. - Yuan Zhang 020; Chun-Kai Fan; Junpeng Ma; Wenzhao Zheng; Tao Huang 020; Kuan Cheng; Denis A. Gudovskiy; Tomoyuki Okuno; Yohei Nakata; Kurt Keutzer; Shanghang Zhang (CoRR, 2024)

EVA: An Embodied World Model for Future Video Anticipation. - Xiaowei Chi; Hengyuan Zhang; Chun-Kai Fan; Xingqun Qi; Rongyu Zhang; Anthony Chen; Chi-Min Chan; Wei Xue 002; Wenhan Luo; Shanghang Zhang; Yike Guo (CoRR, 2024)

Towards Unifying Understanding and Generation in the Era of Vision Foundation Models: A Survey from the Autoregression Perspective. - Shenghao Xie; Wenqiang Zu; Mingyang Zhao 001; Duo Su; Shilong Liu; Ruohua Shi; Guoqi Li; Shanghang Zhang; Lei Ma 008 (CoRR, 2024)

Training-free Regional Prompting for Diffusion Transformers. - Anthony Chen; Jianjin Xu; Wenzhao Zheng; Gaole Dai; Yida Wang; Renrui Zhang; Haofan Wang; Shanghang Zhang (CoRR, 2024)

Learning from Different Samples: A Source-free Framework for Semi-supervised Domain Adaptation. - Xinyang Huang; Chuang Zhu; Bowen Zhang; Shanghang Zhang (CoRR, 2024)

MC-LLaVA: Multi-Concept Personalized Vision-Language Model. - Ruichuan An; Sihan Yang; Ming Lu; Kai Zeng; Yulin Luo; Ying Chen; Jiajun Cao; Hao Liang; Qi She; Shanghang Zhang; Wentao Zhang (CoRR, 2024)

EMD: Explicit Motion Modeling for High-Quality Street Gaussian Splatting. - Xiaobao Wei; Qingpo Wuwu; Zhongyu Zhao; Zhuangzhe Wu; Nan Huang; Ming Lu; Ningning Ma; Shanghang Zhang (CoRR, 2024)

Proactive Gradient Conflict Mitigation in Multi-Task Learning: A Sparse Training Perspective. - Zhi Zhang 009; Jiayi Shen; Congfeng Cao; Gaole Dai; Shiji Zhou; Qizhe Zhang; Shanghang Zhang; Ekaterina Shutova (CoRR, 2024)

Lift3D Foundation Policy: Lifting 2D Large-Scale Pretrained Models for Robust 3D Robotic Manipulation. - Yueru Jia; Jiaming Liu 003; Sixiang Chen; Chenyang Gu; Zhilue Wang; Longzan Luo; Lily Lee; Pengwei Wang 004; Zhongyuan Wang 006; Renrui Zhang; Shanghang Zhang (CoRR, 2024)

[CLS] Attention is All You Need for Training-Free Visual Token Pruning: Make VLM Inference Faster. - Qizhe Zhang; Aosong Cheng; Ming Lu; Zhiyong Zhuo; Minqi Wang; Jiajun Cao; Shaobo Guo; Qi She; Shanghang Zhang (CoRR, 2024)

Stag-1: Towards Realistic 4D Driving Simulation with Video Generation Model. - Lening Wang; Wenzhao Zheng; Dalong Du; Yunpeng Zhang; Yilong Ren; Han Jiang 003; Zhiyong Cui; Haiyang Yu 002; Jie Zhou 001; Jiwen Lu; Shanghang Zhang (CoRR, 2024)

ASGDiffusion: Parallel High-Resolution Generation with Asynchronous Structure Guidance. - Yuming Li; Peidong Jia; Daiwei Hong; Yueru Jia; Qi She; Rui Zhao 010; Ming Lu; Shanghang Zhang (CoRR, 2024)

GPD-1: Generative Pre-training for Driving. - Zixun Xie; Sicheng Zuo; Wenzhao Zheng; Yunpeng Zhang; Dalong Du; Jie Zhou 001; Jiwen Lu; Shanghang Zhang (CoRR, 2024)

GaussianAD: Gaussian-Centric End-to-End Autonomous Driving. - Wenzhao Zheng; Junjie Wu; Yao Zheng; Sicheng Zuo; Zixun Xie; Longchao Yang; Yong Pan; Zhihui Hao; Peng Jia; Xianpeng Lang; Shanghang Zhang (CoRR, 2024)

RoboMIND: Benchmark on Multi-embodiment Intelligence Normative Data for Robot Manipulation. - Kun Wu 001; Chengkai Hou; Jiaming Liu 003; Zhengping Che; Xiaozhu Ju; Zhuqin Yang; Meng Li; Yinuo Zhao; Zhiyuan Xu; Guang Yang; Zhen Zhao; Guangyu Li; et al. (CoRR, 2024)

SCBench: A Sports Commentary Benchmark for Video LLMs. - Kuangzhi Ge; Lingjun Chen; Kevin Zhang; Yulin Luo; Tianyu Shi; Liaoyuan Fan; Xiang Li; Guanqun Wang; Shanghang Zhang (CoRR, 2024)

The Emerging Issues in Bioimaging AI Publications and Research (Dagstuhl Seminar 24042). - Jianxu Chen 001; Florian Jug; Susanne M. Rafelski; Shanghang Zhang (Dagstuhl Reports, 2024)

A lightweight multi-layer perceptron for efficient multivariate time series forecasting. - Zhenghong Wang; Sijie Ruan; Tianqiang Huang; Haoyi Zhou; Shanghang Zhang; Yi Wang 132; Leye Wang; Zhou Huang; Yu Liu 003 (Knowl. Based Syst., 2024)

DECOR: Dynamic Decoupling and Multiobjective Optimization for Long-Tailed Remote Sensing Image Classification. - Jianlin Xie; Guanqun Wang; Yin Zhuang; Can Li; Tong Zhang 028; He Chen 004; Liang Chen 004; Shanghang Zhang (IEEE Trans. Geosci. Remote. Sens., 2024)

BEV-LGKD: A Unified LiDAR-Guided Knowledge Distillation Framework for Multi-View BEV 3D Object Detection. - Jianing Li 001; Ming Lu; Jiaming Liu 003; Yandong Guo; Yuan Du; Li Du; Shanghang Zhang (IEEE Trans. Intell. Veh., 2024)

Exploring Generalizable Distillation for Efficient Medical Image Segmentation. - Xingqun Qi; Zhuojie Wu; Wenxuan Zou; Min Ren; Yifan Gao; Muyi Sun; Shanghang Zhang; Caifeng Shan; Zhenan Sun (IEEE J. Biomed. Health Informatics, 2024)

DOZE: A Dataset for Open-Vocabulary Zero-Shot Object Navigation in Dynamic Environments. - Ji Ma 007; Hongming Dai; Yao Mu 001; Pengying Wu; Hao Wang 073; Xiaowei Chi; Yang Fei; Shanghang Zhang; Chang Liu 002 (IEEE Robotics Autom. Lett., 2024)

DesignEdit: Unify Spatial-Aware Image Editing via Training-free Inpainting with a Multi-Layered Latent Diffusion Framework. - Yueru Jia; Aosong Cheng; Yuhui Yuan; Chuke Wang; Ji Li 006; Huizhu Jia; Shanghang Zhang (AAAI, 2025)

Subgraph Aggregation for Out-of-Distribution Generalization on Graphs. - Bowen Liu; Haoyang Li; Shuning Wang; Shuo Nie; Shanghang Zhang (AAAI, 2025)

LiDAR-LLM: Exploring the Potential of Large Language Models for 3D LiDAR Understanding. - Senqiao Yang; Jiaming Liu 003; Renrui Zhang; Mingjie Pan; Ziyu Guo; Xiaoqi Li 009; Zehui Chen; Peng Gao 007; Hongsheng Li 001; Yandong Guo; Shanghang Zhang (AAAI, 2025)

LongDPO: Unlock Better Long-form Generation Abilities for LLMs via Critique-augmented Stepwise Information. - Bowen Ping; Jiali Zeng; Fandong Meng; Shuo Wang 013; Jie Zhou 016; Shanghang Zhang (ACL (Findings), 2025)

MapNav: A Novel Memory Representation via Annotated Semantic Maps for VLM-based Vision-and-Language Navigation. - Lingfeng Zhang; Xiaoshuai Hao; Qinwen Xu; Qiang Zhang; Xinyao Zhang; Pengwei Wang 004; Jing Zhang; Zhongyuan Wang 006; Shanghang Zhang; Renjing Xu (ACL (1), 2025)

Object-Centric Prompt-Driven Vision-Language-Action Model for Robotic Manipulation. - Xiaoqi Li 009; Jingyun Xu; Mingxu Zhang; Jiaming Liu 003; Yan Shen 035; Iaroslav Ponomarenko; Jiahui Xu; Liang Heng; Siyuan Huang 004; Shanghang Zhang; Hao Dong 003 (CVPR, 2025)

MoVE-KD: Knowledge Distillation for VLMs with Mixture of Visual Encoders. - Jiajun Cao; Yuan Zhang 020; Tao Huang 020; Ming Lu; Qizhe Zhang; Ruichuan An; Ningning Ma; Shanghang Zhang (CVPR, 2025)

Segment Any Motion in Videos. - Nan Huang; Wenzhao Zheng; Chenfeng Xu; Kurt Keutzer; Shanghang Zhang; Angjoo Kanazawa; Qianqian Wang (CVPR, 2025)

RoboBrain: A Unified Brain Model for Robotic Manipulation from Abstract to Concrete. - Yuheng Ji; Huajie Tan; Jiayu Shi; Xiaoshuai Hao; Yuan Zhang 020; Hengyuan Zhang; Pengwei Wang 004; Mengdi Zhao; Yao Mu 001; Pengju An; Xinda Xue; Qinghang Su; et al. (CVPR, 2025)

Lift3D Policy: Lifting 2D Foundation Models for Robust 3D Robotic Manipulation. - Yueru Jia; Jiaming Liu 003; Sixiang Chen; Chenyang Gu; Zhilue Wang; Longzan Luo; Xiaoqi Li 009; Pengwei Wang 004; Zhongyuan Wang 006; Renrui Zhang; Shanghang Zhang (CVPR, 2025)

Decouple Distortion from Perception: Region Adaptive Diffusion for Extreme-low Bitrate Perception Image Compression. - Jinchang Xu; Shaokang Wang; Jintao Chen; Zhe Li; Peidong Jia; Fei Zhao; Guoqing Xiang; Zhijian Hao; Shanghang Zhang; Xiaodong Xie (CVPR, 2025)

Three-Stage Progressive Pre-Analysis Framework for VMAF Controllable Image Coding. - Shaokang Wang; Guoqing Xiang; Wenzhao Li; Mingyuan Yang; Fan Yang 053; Shanghang Zhang; Xiaodong Xie; Huizhu Jia (DCC, 2025)

GaussianEnhancer: A General Rendering Enhancer for Gaussian Splatting. - Chen Zou 007; Qingsen Ma; Jia Wang; Ming Lu; Shanghang Zhang; Zhaofeng He (ICASSP, 2025)

Efficient Quality Controllable Neural Image Compression based on QD-Model. - Shaokang Wang; Guoqing Xiang; Jinchang Xu; Shanghang Zhang; Xiaodong Xie (ICASSP, 2025)

Draw-and-Understand: Leveraging Visual Prompts to Enable MLLMs to Comprehend What You Want. - Weifeng Lin; Xinyu Wei; Ruichuan An; Peng Gao 007; Bocheng Zou; Yulin Luo; Siyuan Huang 004; Shanghang Zhang; Hongsheng Li 001 (ICLR, 2025)

Co3Gesture: Towards Coherent Concurrent Co-speech 3D Gesture Generation with Interactive Diffusion. - Xingqun Qi; Yatian Wang; Hengyuan Zhang; Jiahao Pan; Wei Xue 002; Shanghang Zhang; Wenhan Luo; Qifeng Liu; Yike Guo (ICLR, 2025)

MAVIS: Mathematical Visual Instruction Tuning with an Automatic Data Engine. - Renrui Zhang; Xinyu Wei; Dongzhi Jiang; Ziyu Guo; Yichi Zhang; Chengzhuo Tong; Jiaming Liu 003; Aojun Zhou; Shanghang Zhang; Peng Gao 007; Hongsheng Li 001 (ICLR, 2025)

A diffusion-based feature enhancement approach for driving behavior classification with EEG data. - Tianqi Liu; Yanjun Qin; Shanghang Zhang; Xiaoming Tao 001 (Adv. Eng. Informatics, 2025)

Empowering Corner Case Detection in Autonomous Vehicles With Multimodal Large Language Models. - Tianqi Liu; Yanjun Qin; Shanghang Zhang; Xiaoming Tao 001 (IEEE Signal Process. Lett., 2025)

PINNsAgent: Automated PDE Surrogation with Large Language Models. - Qingpo Wuwu; Chonghan Gao; Tianyu Chen; Yihang Huang; Yuekai Zhang; Jianing Wang; Jianxin Li 002; Haoyi Zhou; Shanghang Zhang (CoRR, 2025)

SliceOcc: Indoor 3D Semantic Occupancy Prediction with Vertical Slice Representation. - Jianing Li 001; Ming Lu; Hao Wang 073; Chenyang Gu; Wenzhao Zheng; Li Du; Shanghang Zhang (CoRR, 2025)

CordViP: Correspondence-based Visuomotor Policy for Dexterous Manipulation in Real-World. - Yankai Fu; Qiuxuan Feng; Ning Chen; Zichen Zhou; Mengzhen Liu; Mingdong Wu; Tianxing Chen; Shanyu Rong; Jiaming Liu 003; Hao Dong 003; Shanghang Zhang (CoRR, 2025)

Biphasic Face Photo-Sketch Synthesis via Semantic-Driven Generative Adversarial Network With Graph Representation Learning. - Xingqun Qi; Muyi Sun; Zijian Wang 009; Jiaming Liu 003; Qi Li 005; Fang Zhao 006; Shanghang Zhang; Caifeng Shan (IEEE Trans. Neural Networks Learn. Syst., 2025)

AffordGrasp: In-Context Affordance Reasoning for Open-Vocabulary Task-Oriented Grasping in Clutter. - Yingbo Tang; Shuaike Zhang; Xiaoshuai Hao; Pengwei Wang 004; Jianlong Wu; Zhongyuan Wang 006; Shanghang Zhang (CoRR, 2025)

HybridVLA: Collaborative Diffusion and Autoregression in a Unified Vision-Language-Action Model. - Jiaming Liu 003; Hao Chen 011; Pengju An; Zhuoyang Liu; Renrui Zhang; Chenyang Gu; Xiaoqi Li 020; Ziyu Guo; Sixiang Chen; Mengzhen Liu; Chengkai Hou; Mengdi Zhao; et al. (CoRR, 2025)

EmpathyAgent: Can Embodied Agents Conduct Empathetic Actions? - Xinyan Chen 001; Jiaxin Ge; Hongming Dai; Qiang Zhou; Qiuxuan Feng; Jingtong Hu; Yizhou Wang 001; Jiaming Liu 003; Shanghang Zhang (CoRR, 2025)

MoLe-VLA: Dynamic Layer-skipping Vision Language Action Model via Mixture-of-Layers for Efficient Robot Manipulation. - Rongyu Zhang; Menghang Dong; Yuan Zhang 020; Liang Heng; Xiaowei Chi; Gaole Dai; Li Du; Dan Wang 002; Yuan Du; Shanghang Zhang (CoRR, 2025)

Reason-RFT: Reinforcement Fine-Tuning for Visual Reasoning. - Huajie Tan; Yuheng Ji; Xiaoshuai Hao; Minglan Lin; Pengwei Wang 004; Zhongyuan Wang 006; Shanghang Zhang (CoRR, 2025)

EmbodiedOcc++: Boosting Embodied 3D Occupancy Prediction with Plane Regularization and Uncertainty Sampler. - Hao Wang 073; Xiaobao Wei; Xiaoan Zhang; Jianing Li 001; Chengyu Bai; Ying Li; Ming Lu; Wenzhao Zheng; Shanghang Zhang (CoRR, 2025)

ManipDreamer: Boosting Robotic Manipulation World Model with Action Tree and Visual Guidance. - Ying Li; Xiaobao Wei; Xiaowei Chi; Yuming Li; Zhongyu Zhao; Hao Wang 073; Ningning Ma; Ming Lu; Shanghang Zhang (CoRR, 2025)

Co3Gesture: Towards Coherent Concurrent Co-speech 3D Gesture Generation with Interactive Diffusion. - Xingqun Qi; Yatian Wang; Hengyuan Zhang; Jiahao Pan; Wei Xue 002; Shanghang Zhang; Wenhan Luo; Qifeng Liu; Yike Guo (CoRR, 2025)

CrayonRobo: Object-Centric Prompt-Driven Vision-Language-Action Model for Robotic Manipulation. - Xiaoqi Li 020; Lingyun Xu; Mingxu Zhang; Jiaming Liu 003; Yan Shen 035; Iaroslav Ponomarenko; Jiahui Xu; Liang He 001; Siyuan Huang 004; Shanghang Zhang; Hao Dong 003 (CoRR, 2025)

RoboOS: A Hierarchical Embodied Framework for Cross-Embodiment and Multi-Agent Collaboration. - Huajie Tan; Xiaoshuai Hao; Minglan Lin; Pengwei Wang 004; Yaoxu Lyu; Mingyu Cao; Zhongyuan Wang 006; Shanghang Zhang (CoRR, 2025)

FreqMoE: Dynamic Frequency Enhancement for Neural PDE Solvers. - Tianyu Chen; Haoyi Zhou; Ying Li; Hao Wang 073; Zhenzhe Zhang; Tianchen Zhu; Shanghang Zhang; Jianxin Li 002 (CoRR, 2025)

H2R: A Human-to-Robot Data Augmentation for Robot Pre-training from Videos. - Guangrun Li; Yaoxu Lyu; Zhuoyang Liu; Chengkai Hou; Jieyu Zhang 001; Shanghang Zhang (CoRR, 2025)

ACU: Analytic Continual Unlearning for Efficient and Exact Forgetting with Privacy Preservation. - Jianheng Tang 001; Huiping Zhuang; Di Fang 004; Jiaxu Li; Feijiang Han; Yajiang Huang; Kejia Fan; Leye Wang; Zhanxing Zhu; Shanghang Zhang; Houbing Herbert Song; Yunhuai Liu (CoRR, 2025)

AFCL: Analytic Federated Continual Learning for Spatio-Temporal Invariance of Non-IID Data. - Jianheng Tang 001; Huiping Zhuang; Jingyu He; Run He; Jingchao Wang; Kejia Fan; Anfeng Liu; Tian Wang 001; Leye Wang; Zhanxing Zhu; Shanghang Zhang; Houbing Herbert Song; et al. (CoRR, 2025)

SpikeGen: Generative Framework for Visual Spike Stream Processing. - Gaole Dai; Menghang Dong; Rongyu Zhang; Ruichuan An; Shanghang Zhang; Tie-Jun Huang 001 (CoRR, 2025)

OmniIndoor3D: Comprehensive Indoor 3D Reconstruction. - Xiaobao Wei; Xiaoan Zhang; Hao Wang 073; Qingpo Wuwu; Ming Lu; Wenzhao Zheng; Shanghang Zhang (CoRR, 2025)

GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control. - Anthony Chen; Wenzhao Zheng; Yida Wang; Xueyang Zhang; Kun Zhan; Peng Jia; Kurt Keutzer; Shanghang Zhang (CoRR, 2025)

BEVUDA++: Geometric-Aware Unsupervised Domain Adaptation for Multi-View 3D Object Detection. - Rongyu Zhang; Jiaming Liu 003; Xiaoqi Li 009; Xiaowei Chi; Dan Wang 002; Li Du; Yuan Du; Shanghang Zhang (IEEE Trans. Circuits Syst. Video Technol., 2025)

Fast-in-Slow: A Dual-System Foundation Model Unifying Fast Manipulation within Slow Reasoning. - Hao Chen 011; Jiaming Liu 003; Chenyang Gu; Zhuoyang Liu; Renrui Zhang; Xiaoqi Li 020; Xiao He; Yandong Guo; Chi-Wing Fu; Shanghang Zhang; Pheng-Ann Heng (CoRR, 2025)

RoboRefer: Towards Spatial Referring with Reasoning in Vision-Language Models for Robotics. - Enshen Zhou; Jingkun An; Cheng Chi; Yi Han; Shanyu Rong; Chi Zhang; Pengwei Wang 004; Zhongyuan Wang 006; Tie-Jun Huang 001; Lu Sheng; Shanghang Zhang (CoRR, 2025)

SpikePingpong: High-Frequency Spike Vision-based Robot Learning for Precise Striking in Table Tennis Game. - Hao Wang 073; Chengkai Hou; Xianglong Li; Yankai Fu; Chenxuan Li; Ning Chen; Gaole Dai; Jiaming Liu 003; Tie-Jun Huang 001; Shanghang Zhang (CoRR, 2025)

Video-CoT: A Comprehensive Dataset for Spatiotemporal Understanding of Videos Based on Chain-of-Thought. - Shuyi Zhang; Xiaoshuai Hao; Yingbo Tang; Lingfeng Zhang; Pengwei Wang 004; Zhongyuan Wang 006; Hongxuan Ma; Shanghang Zhang (CoRR, 2025)

Beyond Attention or Similarity: Maximizing Conditional Diversity for Token Pruning in MLLMs. - Qizhe Zhang; Mengzhen Liu; Lichen Li; Ming Lu; Yuan Zhang 020; Junwen Pan; Qi She; Shanghang Zhang (CoRR, 2025)

AutoV: Learning to Retrieve Visual Prompt for Large Vision-Language Models. - Yuan Zhang 020; Chun-Kai Fan; Tao Huang 020; Ming Lu; Sicheng Yu; Junwen Pan; Kuan Cheng; Qi She; Shanghang Zhang (CoRR, 2025)

FastInit: Fast Noise Initialization for Temporally Consistent Video Generation. - Chengyu Bai; Yuming Li; Zhongyu Zhao; Jintao Chen; Peidong Jia; Qi She; Ming Lu; Shanghang Zhang (CoRR, 2025)

MinD: Unified Visual Imagination and Control via Hierarchical World Models. - Xiaowei Chi; Kuangzhi Ge; Jiaming Liu 003; Siyuan Zhou; Peidong Jia; Zichen He; Yuzhen Liu; Tingguang Li; Lei Han; Sirui Han; Shanghang Zhang; Yike Guo (CoRR, 2025)

SEEA-R1: Tree-Structured Reinforcement Fine-Tuning for Self-Evolving Embodied Agents. - Wanxin Tian; Shijie Zhang; Kevin Zhang; Xiaowei Chi; Yulin Luo; Junyu Lu; Chunkai Fan; Qiang Zhou; Yiming Zhao; Ning Liu Siyu Lin; Zhiyuan Qin; Xiaozhu Ju; et al. (CoRR, 2025)

AC-DiT: Adaptive Coordination Diffusion Transformer for Mobile Manipulation. - Sixiang Chen; Jiaming Liu 003; Siyuan Qian; Han Jiang 003; Lily Li; Renrui Zhang; Zhuoyang Liu; Chenyang Gu; Chengkai Hou; Pengwei Wang 004; Zhongyuan Wang 006; Shanghang Zhang (CoRR, 2025)

RoboBrain 2.0 Technical Report. - Mingyu Cao; Huajie Tan; Yuheng Ji; Minglan Lin; Zhiyu Li; Zhou Cao; Pengwei Wang 004; Enshen Zhou; Yi Han; Yingbo Tang; Xiangqi Xu; Wei Guo; et al. (CoRR, 2025)

RwoR: Generating Robot Demonstrations from Human Hand Collection for Policy Learning without Robot. - Liang Heng; Xiaoqi Li 020; Shangqing Mao; Jiaming Liu 003; Ruolin Liu; Jingli Wei; Yu-Kai Wang; Yueru Jia; Chenyang Gu; Rui Zhao 010; Shanghang Zhang; Hao Dong 003 (CoRR, 2025)

Research Challenges and Progress in the End-to-End V2X Cooperative Autonomous Driving Competition. - Ruiyang Hao; Haibao Yu; Jiaru Zhong; Chuanye Wang; Jiahao Wang; Yiming Kan; Wenxian Yang; Siqi Fan 002; Huilin Yin; Jianing Qiu; Yao Mu 001; Jiankai Sun; et al. (CoRR, 2025)

FastDriveVLA: Efficient End-to-End Driving via Plug-and-Play Reconstruction-based Token Pruning. - Jiajun Cao; Qizhe Zhang; Peidong Jia; Xuhui Zhao; Bo Lan; Xiaoan Zhang; Xiaobao Wei; Sixiang Chen; Zhuo Li; Yang Wang; Liyun Li; Xianming Liu; et al. (CoRR, 2025)

UniEdit-I: Training-free Image Editing for Unified VLM via Iterative Understanding, Editing and Verifying. - Chengyu Bai; Jintao Chen; Xiang Bai; Yilong Chen; Qi She; Ming Lu; Shanghang Zhang (CoRR, 2025)

NavA3: Understanding Any Instruction, Navigating Anywhere, Finding Anything. - Lingfeng Zhang; Xiaoshuai Hao; Yingbo Tang; Haoxiang Fu; Xinyu Zheng; Pengwei Wang 004; Zhongyuan Wang 006; Wenbo Ding; Shanghang Zhang (CoRR, 2025)

EEG-Driven Classification of Driver Mental Workload in Diverse Environments: A Dual-Branch Network for Efficient In-Vehicle Applications. - Tianqi Liu; Yanjun Qin; Shanghang Zhang; Yiping Duan; Xiaoming Tao 001 (IEEE Internet Things J., 2025)

RepCaM++: Exploring Transparent Visual Prompt With Inference-Time Re-Parameterization for Neural Video Delivery. - Rongyu Zhang; Xize Duan; Jiaming Liu 003; Li Du; Yuan Du; Dan Wang 002; Shanghang Zhang; Fangxin Wang 001 (IEEE Trans. Mob. Comput., 2025)

CoCoGesture: Towards coherent co-speech 3D gesture generation in the wild. - Xingqun Qi; Hengyuan Zhang; Yatian Wang; Jiahao Pan; Chen Liu 028; Muyi Sun; Wei Xue 002; Shanghang Zhang; Sirui Han; Qifeng Liu; Yike Guo (Inf. Fusion, 2026)