Dongfang Liu - RankMe

138 papers A* 33A 7B 4C 1Misc 1Journal 73Unranked 19

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A-SelecT: Automatic Timestep Selection for Diffusion Transformer Representation Learning. CoRR Changyu Liu, James Chenhao Liang, Wenhao Yang, Yiming Cui, Jinghao Yang, Tianyang Wang, Qifan Wang, Dongfang Liu, Cheng Han
2026	J	`jnl`	Data Augmentation for High-Fidelity Generation of CAR-T/NK Immunological Synapse Images. CoRR Xiang Zhang, Boxuan Zhang, Alireza Naghizadeh, Mohab Mohamed, Dongfang Liu, Ruixiang Tang, Dimitris N. Metaxas
2026	J	`jnl`	Ethics of trustworthy AI in healthcare: Challenges, principles, and practical pathways. Neurocomputing Pegah Ahadian, Wei Xu, Dongfang Liu, Qiang Guan
2026	A*	`conf`	Make LVLMs Focus: Context-Aware Attention Modulation for Better Multimodal In-Context Learning. AAAI Yanshu Li, Jianjiang Yang, Ziteng Yang, Bozheng Li, Ligong Han, Hongyang He, Zhengtao Yao, Yingjie Victor Chen, Songlin Fei, Dongfang Liu, Ruixiang Tang
2026	J	`jnl`	On-the-Fly VLA Adaptation via Test-Time Reinforcement Learning. CoRR Changyu Liu, Yiyang Liu, Taowen Wang, Qiao Zhuang, James Chenhao Liang, Wenhao Yang, Renjing Xu, Qifan Wang, Dongfang Liu, Cheng Han
2026	J	`jnl`	Q-Bridge: Code Translation for Quantum Machine Learning via LLMs. CoRR Runjia Zeng, Priyabrata Senapati, Ruixiang Tang, Dongfang Liu, Qiang Guan
2026	J	`jnl`	TokenSeek: Memory Efficient Fine Tuning via Instance-Aware Token Ditching. CoRR Runjia Zeng, Qifan Wang, Qiang Guan, Ruixiang Tang, Lifu Huang, Zhenting Wang, Xueling Zhang, Cheng Han, Dongfang Liu
2025	J	`jnl`	Advancing hierarchical neural networks with scale-aware pyramidal feature learning for medical image dense prediction. Comput. Methods Programs Biomed. Xiang Liu, James Liang, Jianwei Zhang, Zihan Qian, Phoebe Xing, Taige Chen, Shanchieh Yang, Chijioke Chukwudi, Liang Qiu, Dongfang Liu, Junhan Zhao
2025	J	`jnl`	All You Need is One: Capsule Prompt Tuning with a Single Vector. CoRR Yiyang Liu, James Chenhao Liang, Heng Fan, Wenhao Yang, Yiming Cui, Xiaotian Han, Lifu Huang, Dongfang Liu, Qifan Wang, Cheng Han
2025	A*	`conf`	DS-LLM: Leveraging Dynamical Systems to Enhance Both Training and Inference of Large Language Models. ICLR Ruibing Song, Chuan Liu, Chunshu Wu, Ang Li, Dongfang Liu, Ying Nian Wu, Tong Geng
2025	A*	`conf`	Diff-PIC: Revolutionizing Particle-In-Cell Nuclear Fusion Simulation with Diffusion Models. ICLR Chuan Liu, Chunshu Wu, Shihui Cao, Mingkai Chen, James Chenhao Liang, Ang Li, Michael Huang, Chuang Ren, Ying Nian Wu, Dongfang Liu, Tong Geng
2025	J	`jnl`	DiffHeads: Differential Analysis and Inference-Time Masking of Bias Heads in Large Language Models. CoRR Tingxu Han, Wei Song, Ziqi Ding, Ziming Li, Chunrong Fang, Yuekang Li, Dongfang Liu, Zhenyu Chen, Zhenting Wang
2025	—	`conf`	Item-Language Model: Improving Large Language Model for Recommendation via Item-Language Representation Learning. IJCNLP-AACL (long papers) Li Yang, Anushya Subbiah, Hardik Patel, Judith Yue Li, Yanwei Song, Reza Mirghaderi, Vikram Aggarwal, Fuli Feng, Zenglin Xu, Dongfang Liu, Qifan Wang
2025	J	`jnl`	KGIF: Optimizing Relation-Aware Recommendations with Knowledge Graph Information Fusion. CoRR Donghyun Jeon, Wenbo Sun, Houbing Herbert Song, Dongfang Liu, Alvaro Velasquez, Chloe Yixin Xie, Shuteng Niu
2025	A*	`conf`	MEPT: Mixture of Expert Prompt Tuning as a Manifold Mapper. EMNLP Runjia Zeng, Guangyan Sun, Qifan Wang, Tong Geng, Sohail A. Dianat, Xiaotian Han, Raghuveer Rao, Xueling Zhang, Cheng Han, Lifu Huang, Dongfang Liu
2025	J	`jnl`	MEPT: Mixture of Expert Prompt Tuning as a Manifold Mapper. CoRR Runjia Zeng, Guangyan Sun, Qifan Wang, Tong Geng, Sohail A. Dianat, Xiaotian Han, Raghuveer Rao, Xueling Zhang, Cheng Han, Lifu Huang, Dongfang Liu
2025	J	`jnl`	Probabilistic Token Alignment for Large Language Model Fusion. CoRR Runjia Zeng, James Chenhao Liang, Cheng Han, Zhiwen Cao, Jiahao Liu, Xiaojun Quan, Yingjie Victor Chen, Lifu Huang, Tong Geng, Qifan Wang, Dongfang Liu
2025	A*	`conf`	Re-Imagining Multimodal Instruction Tuning: A Representation View. ICLR Yiyang Liu, James Chenhao Liang, Ruixiang Tang, Yugyung Lee, Majid Rabbani, Sohail A. Dianat, Raghuveer Rao, Lifu Huang, Dongfang Liu, Qifan Wang, Cheng Han
2025	J	`jnl`	Re-Imagining Multimodal Instruction Tuning: A Representation View. CoRR Yiyang Liu, James Chenhao Liang, Ruixiang Tang, Yugyung Lee, Majid Rabbani, Sohail A. Dianat, Raghuveer Rao, Lifu Huang, Dongfang Liu, Qifan Wang, Cheng Han
2025	J	`jnl`	Rethinking Copy-Paste for Consistency Learning in Medical Image Segmentation. IEEE Trans. Image Process. Senlong Huang, Yongxin Ge, Dongfang Liu, Mingjian Hong, Junhan Zhao, Alexander C. Loui
2025	J	`jnl`	Robust Ego-Exo Correspondence with Long-Term Memory. CoRR Yijun Hu, Bing Fan, Xin Gu, Haiqing Ren, Dongfang Liu, Heng Fan, Libo Zhang
2025	A*	`conf`	Visual Agents as Fast and Slow Thinkers. ICLR Guangyan Sun, Mingyu Jin, Zhenting Wang, Cheng-Long Wang, Siqi Ma, Qifan Wang, Tong Geng, Ying Nian Wu, Yongfeng Zhang, Dongfang Liu
2024	J	`jnl`	A systematic evaluation of computational methods for cell segmentation. Briefings Bioinform. Yuxing Wang, Junhan Zhao, Hongye Xu, Cheng Han, Zhiqiang Tao, Dawei Zhou, Tong Geng, Dongfang Liu, Zhicheng Ji
2024	—	`conf`	AMD: Automatic Multi-step Distillation of Large-Scale Vision Models. ECCV (65) Cheng Han, Qifan Wang, Sohail A. Dianat, Majid Rabbani, Raghuveer M. Rao, Yi Fang, Qiang Guan, Lifu Huang, Dongfang Liu
2024	J	`jnl`	AMD: Automatic Multi-step Distillation of Large-scale Vision Models. CoRR Cheng Han, Qifan Wang, Sohail A. Dianat, Majid Rabbani, Raghuveer M. Rao, Yi Fang, Qiang Guan, Lifu Huang, Dongfang Liu
2024	A*	`conf`	BadPart: Unified Black-box Adversarial Patch Attacks against Pixel-wise Regression Tasks. ICML Zhiyuan Cheng, Zhaoyi Liu, Tengda Guo, Shiwei Feng, Dongfang Liu, Mingjie Tang, Xiangyu Zhang
2024	J	`jnl`	BadPart: Unified Black-box Adversarial Patch Attacks against Pixel-wise Regression Tasks. CoRR Zhiyuan Cheng, Zhaoyi Liu, Tengda Guo, Shiwei Feng, Dongfang Liu, Mingjie Tang, Xiangyu Zhang
2024	J	`jnl`	Diff-PIC: Revolutionizing Particle-In-Cell Simulation for Advancing Nuclear Fusion with Diffusion Models. CoRR Chuan Liu, Chunshu Wu, Shihui Cao, Mingkai Chen, James Chenhao Liang, Ang Li, Michael Huang, Chuang Ren, Dongfang Liu, Ying Nian Wu, Tong Geng
2024	A*	`conf`	Diffusion-Inspired Truncated Sampler for Text-Video Retrieval. NeurIPS Jiamian Wang, Pichao Wang, Dongfang Liu, Qiang Guan, Sohail A. Dianat, Majid Rabbani, Raghuveer Rao, Zhiqiang Tao
2024	—	`conf`	EAVE: Efficient Product Attribute Value Extraction via Lightweight Sparse-layer Interaction. EMNLP (Findings) Li Yang, Qifan Wang, Jianfeng Chi, Jiahao Liu, Jingang Wang, Fuli Feng, Zenglin Xu, Yi Fang, Lifu Huang, Dongfang Liu
2024	J	`jnl`	EAVE: Efficient Product Attribute Value Extraction via Lightweight Sparse-layer Interaction. CoRR Li Yang, Qifan Wang, Jianfeng Chi, Jiahao Liu, Jingang Wang, Fuli Feng, Zenglin Xu, Yi Fang, Lifu Huang, Dongfang Liu
2024	A	`conf`	Efficient Multimodal Semantic Segmentation via Dual-Prompt Learning. IROS Shaohua Dong, Yunhe Feng, Qing Yang, Yan Huang, Dongfang Liu, Heng Fan
2024	J	`jnl`	Exploring the Adversarial Vulnerabilities of Vision-Language-Action Models in Robotics. CoRR Taowen Wang, Dongfang Liu, James Chenhao Liang, Wenhao Yang, Qifan Wang, Cheng Han, Jiebo Luo, Ruixiang Tang
2024	J	`jnl`	Facing the Elephant in the Room: Visual Prompt Tuning or Full Finetuning? CoRR Cheng Han, Qifan Wang, Yiming Cui, Wenguan Wang, Lifu Huang, Siyuan Qi, Dongfang Liu
2024	A*	`conf`	Facing the Elephant in the Room: Visual Prompt Tuning or Full finetuning? ICLR Cheng Han, Qifan Wang, Yiming Cui, Wenguan Wang, Lifu Huang, Siyuan Qi, Dongfang Liu
2024	A*	`conf`	Fusion Is Not Enough: Single Modal Attacks on Fusion Models for 3D Object Detection. ICLR Zhiyuan Cheng, Hongjun Choi, Shiwei Feng, James Chenhao Liang, Guanhong Tao, Dongfang Liu, Michael Zuzak, Xiangyu Zhang
2024	J	`jnl`	Guest Editorial Introduction to the Special Issue on Label-Efficient Learning on Video Data. IEEE Trans. Circuits Syst. Video Technol. Wenguan Wang, Tianfei Zhou, Dongfang Liu, Zheng Thomas Tang, Alexander C. Loui
2024	A*	`conf`	Image Translation as Diffusion Visual Programmers. ICLR Cheng Han, James Chenhao Liang, Qifan Wang, Majid Rabbani, Sohail A. Dianat, Raghuveer Rao, Ying Nian Wu, Dongfang Liu
2024	J	`jnl`	Image Translation as Diffusion Visual Programmers. CoRR Cheng Han, James Chenhao Liang, Qifan Wang, Majid Rabbani, Sohail A. Dianat, Raghuveer Rao, Ying Nian Wu, Dongfang Liu
2024	J	`jnl`	Inertial Confinement Fusion Forecasting via LLMs. CoRR Mingkai Chen, Taowen Wang, James Chenhao Liang, Chuan Liu, Chunshu Wu, Qifan Wang, Ying Nian Wu, Michael Huang, Chuang Ren, Ang Li, Tong Geng, Dongfang Liu
2024	B	`conf`	KGIF: Optimizing Relation-Aware Recommendations with Knowledge Graph Information Fusion. IEEE Big Data Donghyun Jeon, Wenbo Sun, Houbing Herbert Song, Dongfang Liu, Alvaro Velasquez, Chloe Yixin Xie, Shuteng Niu
2024	J	`jnl`	M CoRR Taowen Wang, Yiyang Liu, James Chenhao Liang, Junhan Zhao, Yiming Cui, Yuning Mao, Shaoliang Nie, Jiahao Liu, Fuli Feng, Zenglin Xu, Cheng Han, Lifu Huang, Qifan Wang, Dongfang Liu
2024	A*	`conf`	M²PT: Multimodal Prompt Tuning for Zero-shot Instruction Learning. EMNLP Taowen Wang, Yiyang Liu, James Liang, Junhan Zhao, Yiming Cui, Yuning Mao, Shaoliang Nie, Jiahao Liu, Fuli Feng, Zenglin Xu, Cheng Han, Lifu Huang, Qifan Wang, Dongfang Liu
2024	—	`conf`	NP-NDS: A Nature-Powered Nonlinear Dynamical System for Power Grid Forecasting. LoG Chunshu Wu, Ruibing Song, Chuan Liu, Yuqing Wang, Yousu Chen, Ang Li, Dongfang Liu, Ying Nian Wu, Michael Huang, Tong Geng
2024	J	`jnl`	Optical Flow as Spatial-Temporal Attention Learners. IEEE Trans. Pattern Anal. Mach. Intell. Yawen Lu, Cheng Han, Qifan Wang, Heng Fan, Zhaodan Kong, Dongfang Liu, Yingjie Victor Chen
2024	J	`jnl`	ProMotion: Prototypes As Motion Learners. CoRR Yawen Lu, Dongfang Liu, Qifan Wang, Cheng Han, Yiming Cui, Zhiwen Cao, Xueling Zhang, Yingjie Victor Chen, Heng Fan
2024	A*	`conf`	ProMotion: Prototypes as Motion Learners. CVPR Yawen Lu, Dongfang Liu, Qifan Wang, Cheng Han, Yiming Cui, Zhiwen Cao, Xueling Zhang, Yingjie Victor Chen, Heng Fan
2024	A*	`conf`	Prototypical Transformer As Unified Motion Learners. ICML Cheng Han, Yawen Lu, Guohao Sun, James Chenhao Liang, Zhiwen Cao, Qifan Wang, Qiang Guan, Sohail A. Dianat, Raghuveer Rao, Tong Geng, Zhiqiang Tao, Dongfang Liu
2024	J	`jnl`	Prototypical Transformer as Unified Motion Learners. CoRR Cheng Han, Yawen Lu, Guohao Sun, James Chenhao Liang, Zhiwen Cao, Qifan Wang, Qiang Guan, Sohail A. Dianat, Raghuveer M. Rao, Tong Geng, Zhiqiang Tao, Dongfang Liu
2024	—	`conf`	Radiance Field Learners As UAV First-Person Viewers. ECCV (61) Liqi Yan, Qifan Wang, Junhan Zhao, Qiang Guan, Zheng Tang, Jianhui Zhang, Dongfang Liu
2024	J	`jnl`	Radiance Field Learners As UAV First-Person Viewers. CoRR Liqi Yan, Qifan Wang, Junhan Zhao, Qiang Guan, Zheng Tang, Jianhui Zhang, Dongfang Liu
2024	J	`jnl`	SSGA-Net: Stepwise Spatial Global-local Aggregation Networks for for Autonomous Driving. CoRR Yiming Cui, Cheng Han, Dongfang Liu
2024	J	`jnl`	Self-Supervised Adversarial Training of Monocular Depth Estimation Against Physical-World Attacks. IEEE Trans. Pattern Anal. Mach. Intell. Zhiyuan Cheng, Cheng Han, James Liang, Qifan Wang, Xiangyu Zhang, Dongfang Liu
2024	J	`jnl`	Self-supervised Adversarial Training of Monocular Depth Estimation against Physical-World Attacks. CoRR Zhiyuan Cheng, Cheng Han, James Liang, Qifan Wang, Xiangyu Zhang, Dongfang Liu
2024	A	`conf`	SmartFuse: Reconfigurable Smart Switches to Accelerate Fused Collectives in HPC Applications. ICS Pouya Haghi, Cheng Tan, Anqi Guo, Chunshu Wu, Dongfang Liu, Ang Li, Anthony Skjellum, Tong Geng, Martin C. Herbordt
2024	A	`conf`	Target-driven Attack for Large Language Models. ECAI Chong Zhang, Mingyu Jin, Dong Shu, Taowen Wang, Dongfang Liu, Xiaobo Jin
2024	J	`jnl`	Target-driven Attack for Large Language Models. CoRR Chong Zhang, Mingyu Jin, Dong Shu, Taowen Wang, Dongfang Liu, Xiaobo Jin
2024	A*	`conf`	Text Is MASS: Modeling as Stochastic Embedding for Text-Video Retrieval. CVPR Jiamian Wang, Pichao Wang, Guohao Sun, Dongfang Liu, Sohail A. Dianat, Raghuveer Rao, Majid Rabbani, Zhiqiang Tao
2024	J	`jnl`	Text Is MASS: Modeling as Stochastic Embedding for Text-Video Retrieval. CoRR Jiamian Wang, Guohao Sun, Pichao Wang, Dongfang Liu, Sohail A. Dianat, Majid Rabbani, Raghuveer Rao, Zhiqiang Tao
2024	A	`conf`	Towards Automatic Oracle Prediction for AR Testing: Assessing Virtual Object Placement Quality under Real-World Scenes. ISSTA Xiaoyi Yang, Yuxing Wang, Tahmid Rafi, Dongfang Liu, Xiaoyin Wang, Xueling Zhang
2024	A*	`conf`	Tutorial: Large Language-Vision Model in Society. ACM Multimedia Kaicheng Yu, Zhuang Shao, Siyuan Qi, Dongfang Liu
2024	J	`jnl`	Visual Agents as Fast and Slow Thinkers. CoRR Guangyan Sun, Mingyu Jin, Zhenting Wang, Cheng-Long Wang, Siqi Ma, Qifan Wang, Ying Nian Wu, Yongfeng Zhang, Dongfang Liu
2024	A*	`conf`	Visual Fourier Prompt Tuning. NeurIPS Runjia Zeng, Cheng Han, Qifan Wang, Chunshu Wu, Tong Geng, Lifu Huang, Ying Nian Wu, Dongfang Liu
2024	J	`jnl`	Visual Fourier Prompt Tuning. CoRR Runjia Zeng, Cheng Han, Qifan Wang, Chunshu Wu, Tong Geng, Lifu Huang, Ying Nian Wu, Dongfang Liu
2023	A*	`conf`	APrompt: Attention Prompt Tuning for Efficient Adaptation of Pre-trained Language Models. EMNLP Qifan Wang, Yuning Mao, Jingang Wang, Hanchao Yu, Shaoliang Nie, Sinong Wang, Fuli Feng, Lifu Huang, Xiaojun Quan, Zenglin Xu, Dongfang Liu
2023	A*	`conf`	Adversarial Training of Self-supervised Monocular Depth Estimation against Physical-World Attacks. ICLR Zhiyuan Cheng, James Liang, Guanhong Tao, Dongfang Liu, Xiangyu Zhang
2023	J	`jnl`	Adversarial Training of Self-supervised Monocular Depth Estimation against Physical-World Attacks. CoRR Zhiyuan Cheng, James Liang, Guanhong Tao, Dongfang Liu, Xiangyu Zhang
2023	A*	`conf`	CLUSTSEG: Clustering for Universal Segmentation. ICML James Chenhao Liang, Tianfei Zhou, Dongfang Liu, Wenguan Wang
2023	J	`jnl`	CLUSTSEG: Clustering for Universal Segmentation. CoRR James Liang, Tianfei Zhou, Dongfang Liu, Wenguan Wang
2023	J	`jnl`	CML-MOTS: Collaborative Multi-task Learning for Multi-Object Tracking and Segmentation. CoRR Yiming Cui, Cheng Han, Dongfang Liu
2023	A*	`conf`	ClusterFomer: Clustering As A Universal Visual Learner. NeurIPS James Liang, Yiming Cui, Qifan Wang, Tong Geng, Wenguan Wang, Dongfang Liu
2023	J	`jnl`	ClusterFormer: Clustering As A Universal Visual Learner. CoRR James Chenhao Liang, Yiming Cui, Qifan Wang, Tong Geng, Wenguan Wang, Dongfang Liu
2023	J	`jnl`	Coarse-to-Fine Video Instance Segmentation With Factorized Conditional Appearance Flows. IEEE CAA J. Autom. Sinica Zheyun Qin, Xiankai Lu, Xiushan Nie, Dongfang Liu, Yilong Yin, Wenguan Wang
2023	J	`jnl`	Deciphering the connection between upstream obstacles, wake structures, and root signals in seal whisker array sensing using interpretable neural networks. Frontiers Robotics AI Dariush Bodaghi, Yuxing Wang, Geng Liu, Dongfang Liu, Qian Xue, Xudong Zheng
2023	A*	`conf`	E ICCV Cheng Han, Qifan Wang, Yiming Cui, Zhiwen Cao, Wenguan Wang, Siyuan Qi, Dongfang Liu
2023	J	`jnl`	E^2VPT: An Effective and Efficient Approach for Visual Prompt Tuning. CoRR Cheng Han, Qifan Wang, Yiming Cui, Zhiwen Cao, Wenguan Wang, Siyuan Qi, Dongfang Liu
2023	J	`jnl`	Efficient Multimodal Semantic Segmentation via Dual-Prompt Learning. CoRR Shaohua Dong, Yunhe Feng, Qing Yang, Yan Huang, Dongfang Liu, Heng Fan
2023	—	`conf`	Exploiting Logic Locking for a Neural Trojan Attack on Machine Learning Accelerators. ACM Great Lakes Symposium on VLSI Hongye Xu, Dongfang Liu, Cory E. Merkel, Michael Zuzak
2023	J	`jnl`	Exploiting Logic Locking for a Neural Trojan Attack on Machine Learning Accelerators. CoRR Hongye Xu, Dongfang Liu, Cory E. Merkel, Michael Zuzak
2023	J	`jnl`	Fusion is Not Enough: Single-Modal Attacks to Compromise Fusion Models in Autonomous Driving. CoRR Zhiyuan Cheng, Hongjun Choi, James Liang, Shiwei Feng, Guanhong Tao, Dongfang Liu, Michael Zuzak, Xiangyu Zhang
2023	J	`jnl`	Guest Editorial: Learning from limited annotations for computer vision tasks. IET Comput. Vis. Yazhou Yao, Wenguan Wang, Qiang Wu, Dongfang Liu, Jin Zheng
2023	—	`conf`	MUSTIE: Multimodal Structural Transformer for Web Information Extraction. ACL (1) Qifan Wang, Jingang Wang, Xiaojun Quan, Fuli Feng, Zenglin Xu, Shaoliang Nie, Sinong Wang, Madian Khabsa, Hamed Firooz, Dongfang Liu
2023	—	`conf`	MixPAVE: Mix-Prompt Tuning for Few-shot Product Attribute Value Extraction. ACL (Findings) Li Yang, Qifan Wang, Jingang Wang, Xiaojun Quan, Fuli Feng, Yu Chen, Madian Khabsa, Sinong Wang, Zenglin Xu, Dongfang Liu
2023	A*	`conf`	Prompt Learns Prompt: Exploring Knowledge-Aware Generative Prompt Collaboration For Video Captioning. IJCAI Liqi Yan, Cheng Han, Zenglin Xu, Dongfang Liu, Qifan Wang
2023	J	`jnl`	Reformulating Graph Kernels for Self-Supervised Space-Time Correspondence Learning. IEEE Trans. Image Process. Zheyun Qin, Xiankai Lu, Dongfang Liu, Xiushan Nie, Yilong Yin, Jianbing Shen, Alexander C. Loui
2023	—	`conf`	The Impact of Counselor E-Leadership on Student Followership Based on Social Information Processing Theory. ICIEAI Liang Zhao, Dongfang Liu, Jinfeng Gao, Xinyao Geng, Jiaxu Yang
2023	A*	`conf`	TransFlow: Transformer as Flow Learner. CVPR Yawen Lu, Qifan Wang, Siqi Ma, Tong Geng, Yingjie Victor Chen, Huaijin G. Chen, Dongfang Liu
2023	J	`jnl`	TransFlow: Transformer as Flow Learner. CoRR Yawen Lu, Qifan Wang, Siqi Ma, Tong Geng, Yingjie Victor Chen, Huaijin G. Chen, Dongfang Liu
2023	J	`jnl`	Tripartite Feature Enhanced Pyramid Network for Dense Prediction. IEEE Trans. Image Process. Dongfang Liu, James Liang, Tony Geng, Alexander C. Loui, Tianfei Zhou
2023	A*	`conf`	Visual Recognition with Deep Nearest Centroids. ICLR Wenguan Wang, Cheng Han, Tianfei Zhou, Dongfang Liu
2022	J	`jnl`	A Triangulation-Based Visual Localization for Field Robots. IEEE CAA J. Autom. Sinica James Liang, Yuxing Wang, Yingjie Victor Chen, Baijian Yang, Dongfang Liu
2022	A	`conf`	DG-Labeler and DGL-MOTS Dataset: Boost the Autonomous Driving Perception. WACV Yiming Cui, Zhiwen Cao, Yixin Xie, Xingyu Jiang, Feng Tao, Yingjie Victor Chen, Lin Li, Dongfang Liu
2022	—	`conf`	Deep Partial Multiplex Network Embedding. WWW (Companion Volume) Qifan Wang, Yi Fang, Anirudh Ravula, Ruining He, Bin Shen, Jingang Wang, Xiaojun Quan, Dongfang Liu
2022	J	`jnl`	Deep Partial Multiplex Network Embedding. CoRR Qifan Wang, Yi Fang, Anirudh Ravula, Ruining He, Bin Shen, Jingang Wang, Xiaojun Quan, Dongfang Liu
2022	A*	`conf`	GL-RG: Global-Local Representation Granularity for Video Captioning. IJCAI Liqi Yan, Qifan Wang, Yiming Cui, Fuli Feng, Xiaojun Quan, Xiangyu Zhang, Dongfang Liu
2022	J	`jnl`	GL-RG: Global-Local Representation Granularity for Video Captioning. CoRR Liqi Yan, Qifan Wang, Yiming Cui, Fuli Feng, Xiaojun Quan, Xiangyu Zhang, Dongfang Liu
2022	—	`conf`	HAVIT: A VR-Based Platform to Support Human-Autonomous Vehicle Interaction Study. HCI (34) Xiaolei Guo, Dayu Wan, Dongfang Liu, Christos Mousas, Yingjie Victor Chen
2022	J	`jnl`	In vitro machine learning-based CAR T immunological synapse quality measurements correlate with patient clinical outcomes. PLoS Comput. Biol. Alireza Naghizadeh, Wei-chung Tsao, Jong Hyun Cho, Hongye Xu, Mohab Mohamed, Dali Li, Wei Xiong, Dimitris N. Metaxas, Carlos A. Ramos, Dongfang Liu
2022	A*	`conf`	Learning Equivariant Segmentation with Instance-Unique Querying. NeurIPS Wenguan Wang, James Liang, Dongfang Liu
2022	J	`jnl`	Learning Equivariant Segmentation with Instance-Unique Querying. CoRR Wenguan Wang, James Liang, Dongfang Liu
2022	A*	`conf`	Learning to Generate Question by Asking Question: A Primal-Dual Approach with Uncommon Word Generation. EMNLP Qifan Wang, Li Yang, Xiaojun Quan, Fuli Feng, Dongfang Liu, Zenglin Xu, Sinong Wang, Hao Ma
2022	—	`conf`	Physical Attack on Monocular Depth Estimation with Optimal Adversarial Patches. ECCV (38) Zhiyuan Cheng, James Liang, Hongjun Choi, Guanhong Tao, Zhiwen Cao, Dongfang Liu, Xiangyu Zhang
2022	J	`jnl`	Physical Attack on Monocular Depth Estimation with Optimal Adversarial Patches. CoRR Zhiyuan Cheng, James Liang, Hongjun Choi, Guanhong Tao, Zhiwen Cao, Dongfang Liu, Xiangyu Zhang
2022	—	`conf`	Towards Unbiased Label Distribution Learning for Facial Pose Estimation Using Anisotropic Spherical Gaussian. ECCV (12) Zhiwen Cao, Dongfang Liu, Qifan Wang, Yingjie Victor Chen
2022	J	`jnl`	Towards Unbiased Label Distribution Learning for Facial Pose Estimation Using Anisotropic Spherical Gaussian. CoRR Zhiwen Cao, Dongfang Liu, Qifan Wang, Yingjie Victor Chen
2022	J	`jnl`	Video Captioning Using Global-Local Representation. IEEE Trans. Circuits Syst. Video Technol. Liqi Yan, Siqi Ma, Qifan Wang, Yingjie Victor Chen, Xiangyu Zhang, Andreas E. Savakis, Dongfang Liu
2022	J	`jnl`	Visual Recognition with Deep Nearest Centroids. CoRR Wenguan Wang, Cheng Han, Tianfei Zhou, Dongfang Liu
2022	A*	`conf`	WebFormer: The Web-page Transformer for Structure Information Extraction. WWW Qifan Wang, Yi Fang, Anirudh Ravula, Fuli Feng, Xiaojun Quan, Dongfang Liu
2022	J	`jnl`	WebFormer: The Web-page Transformer for Structure Information Extraction. CoRR Qifan Wang, Yi Fang, Anirudh Ravula, Fuli Feng, Xiaojun Quan, Dongfang Liu
2021	A	`conf`	A Vector-based Representation to Enhance Head Pose Estimation. WACV Zhiwen Cao, Zongcheng Chu, Dongfang Liu, Yingjie Victor Chen
2021	J	`jnl`	DG-Labeler and DGL-MOTS Dataset: Boost the Autonomous Driving Perception. CoRR Yiming Cui, Zhiwen Cao, Yixin Xie, Xingyu Jiang, Feng Tao, Yingjie Victor Chen, Lin Li, Dongfang Liu
2021	A*	`conf`	DenserNet: Weakly Supervised Visual Localization Using Multi-Scale Feature Aggregation. AAAI Dongfang Liu, Yiming Cui, Liqi Yan, Christos Mousas, Baijian Yang, Yingjie Victor Chen
2021	J	`jnl`	Greedy auto-augmentation for n-shot learning using deep neural networks. Neural Networks Alireza Naghizadeh, Dimitris N. Metaxas, Dongfang Liu
2021	Misc	`conf`	Hierarchical Attention Fusion for Geo-Localization. ICASSP Liqi Yan, Yiming Cui, Yingjie Victor Chen, Dongfang Liu
2021	J	`jnl`	Hierarchical Attention Fusion for Geo-Localization. CoRR Liqi Yan, Yiming Cui, Yingjie Victor Chen, Dongfang Liu
2021	—	`conf`	Research on 5G Technology Competition Situation Based on Patent Analysis. ICAIIS Dongfang Liu, Weidong Huang, Guangjun Xing
2021	A*	`conf`	SG-Net: Spatial Granularity Network for One-Stage Video Instance Segmentation. CVPR Dongfang Liu, Yiming Cui, Wenbo Tan, Yingjie Victor Chen
2021	J	`jnl`	SG-Net: Spatial Granularity Network for One-Stage Video Instance Segmentation. CoRR Dongfang Liu, Yiming Cui, Wenbo Tan, Yingjie Victor Chen
2021	A*	`conf`	Semantic Aware Data Augmentation for Cell Nuclei Microscopical Images with Artificial Neural Networks. ICCV Alireza Naghizadeh, Hongye Xu, Mohab Mohamed, Dimitris N. Metaxas, Dongfang Liu
2021	A*	`conf`	TF-Blender: Temporal Feature Blender for Video Object Detection. ICCV Yiming Cui, Liqi Yan, Zhiwen Cao, Dongfang Liu
2021	J	`jnl`	TF-Blender: Temporal Feature Blender for Video Object Detection. CoRR Yiming Cui, Liqi Yan, Zhiwen Cao, Dongfang Liu
2020	B	`conf`	A Large-scale Simulation Dataset: Boost the Detection Accuracy for Special Weather Conditions. IJCNN Dongfang Liu, Yiming Cui, Zhiwen Cao, Yingjie Victor Chen
2020	J	`jnl`	A Vector-based Representation to Enhance Head Pose Estimation. CoRR Zhiwen Cao, Zongcheng Chu, Dongfang Liu, Yingjie Victor Chen
2020	J	`jnl`	Accurate Lane Detection for Self-Driving Cars: An Approach Based on Color Filter Adjustment and K-Means Clustering Filter. Int. J. Semantic Comput. Dongfang Liu, Yaqin Mia Wang, Tian Chen, Eric T. Matson
2020	J	`jnl`	DenserNet: Weakly Supervised Visual Localization Using Multi-scale Feature Aggregation. CoRR Dongfang Liu, Yiming Cui, Liqi Yan, Christos Mousas, Baijian Yang, Yingjie Victor Chen
2020	B	`conf`	Indoor Navigation for Mobile Agents: A Multimodal Vision Fusion Model. IJCNN Dongfang Liu, Yiming Cui, Zhiwen Cao, Yingjie Victor Chen
2020	A	`conf`	Multimodal Aggregation Approach for Memory Vision-Voice Indoor Navigation with Meta-Learning. IROS Liqi Yan, Dongfang Liu, Yaoxian Song, Changbin Yu
2020	J	`jnl`	Multimodal Aggregation Approach for Memory Vision-Voice Indoor Navigation with Meta-Learning. CoRR Liqi Yan, Dongfang Liu, Yaoxian Song, Changbin Yu
2020	—	`conf`	Object Detection for Autonomous Driving: Motion-aid Feature Calibration Network. ICAART (2) Dongfang Liu, Yaqin Mia Wang, Eric T. Matson
2020	—	`conf`	VR-PAVIB: The Virtual Reality Pedestrian-Autonomous Vehicle Interaction Benchmark. AutomotiveUI (adjunct) Ana Fiona Dalipi, Dongfang Liu, Xiaolei Guo, Yingjie Victor Chen, Christos Mousas
2020	J	`jnl`	Video object detection for autonomous driving: Motion-aid feature calibration. Neurocomputing Dongfang Liu, Yiming Cui, Yingjie Victor Chen, Jiyong Zhang, Bin Fan
2020	B	`conf`	Visual Localization for Autonomous Driving: Mapping the Accurate Location in the City Maze. ICPR Dongfang Liu, Yiming Cui, Xiaolei Guo, Wei Ding, Baijian Yang, Yingjie Victor Chen
2020	J	`jnl`	Visual Localization for Autonomous Driving: Mapping the Accurate Location in the City Maze. CoRR Dongfang Liu, Yiming Cui, Xiaolei Guo, Wei Ding, Baijian Yang, Yingjie Victor Chen
2019	—	`conf`	Application of Color Filter Adjustment and K-Means Clustering Method in Lane Detection for Self-Driving Cars. IRC Dongfang Liu, Yaqin Mia Wang, Tian Chen, Eric T. Matson
2019	—	`conf`	End-to-end Learning Approach for Autonomous Driving: A Convolutional Neural Network Model. ICAART (2) Yaqin Mia Wang, Dongfang Liu, Hyewon Jeon, Zhiwei Chu, Eric T. Matson
2019	C	`conf`	Virtual World Bridges the Real Challenge: Automated Data Generation for Autonomous Driving. IV Dongfang Liu, Yaqin Mia Wang, Kar Ee Ho, Zhiwei Chu, Eric Matson
2006	J	`jnl`	Outage Capacity Analysis of MIMO Macro-Selection Systems. IEICE Trans. Commun. Wun-Cheol Jeong, Dongfang Liu, Jong-Moon Chung
2001	—	`conf`	OFDM frame synchronization in slotted ALOHA mobile communication systems. VTC Fall Jong-Moon Chung, Dongfang Liu, Krishnaveni Ramasamy, Sriram Varadarajan