Yuhao Wu - RankMe

63 papers A* 11A 1Journal 40Unranked 11

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	AdaMCoT: Rethinking Cross-Lingual Factual Reasoning Through Adaptive Multilingual Chain-of-Thought. AAAI Weihua Zheng, Xin Huang, Zhengyuan Liu, Tarun Kumar Vangani, Bowei Zou, Xiyan Tao, Yuhao Wu, AiTi Aw, Nancy F. Chen, Roy Ka-Wei Lee
2026	J	`jnl`	An improved graph attention network for semantic segmentation of industrial point clouds in automotive battery sealing nail defect detection. Eng. Appl. Artif. Intell. Wei Pan, Yuhao Wu, Wenming Tang, Qinghua Lu, Yunzhi Zhang
2026	J	`jnl`	From Perception to Action: An Interactive Benchmark for Vision Reasoning. CoRR Yuhao Wu, Maojia Song, Yihuai Lan, Lei Wang, Zhiqiang Hu, Yao Xiao, Heng Zhou, Weihua Zheng, Dylan Raharja, Soujanya Poria, Roy Ka-Wei Lee
2026	J	`jnl`	Lost in Stories: Consistency Bugs in Long Story Generation by LLMs. CoRR Junjie Li, Xinrui Guo, Yuhao Wu, Roy Ka-Wei Lee, Hongzhi Li, Yutao Xie
2026	A*	`conf`	NOTAM-Evolve: A Knowledge-Guided Self-Evolving Optimization Framework with LLMs for NOTAM Interpretation. AAAI Maoqi Liu, Quan Fang, Yuhao Wu, Can Zhao, Yang Yang, Kaiquan Cai
2026	J	`jnl`	Retrieval-Infused Reasoning Sandbox: A Benchmark for Decoupling Retrieval and Reasoning Capabilities. CoRR Shuangshuang Ying, Zheyu Wang, Yunjian Peng, Jin Chen, Yuhao Wu, Hongbin Lin, Dingyu He, Siyi Liu, Gengchen Yu, Yinzhu Piao, Yuchen Wu, Xin Gui, Zhongyuan Peng, Xin Li, Xeron Du, Libo Qin, Yixin Cao, Ge Zhang, Stephen Huang
2026	A*	`conf`	State-Derivative-Aware Neural Controlled Differential Equations for Multivariate Time Series Anomaly Detection and Diagnosis. AAAI Xin Sun, Heng Zhou, Yuhao Wu, Chao Li
2025	J	`jnl`	AdvJudge-Zero: Binary Decision Flips in LLM-as-a-Judge via Adversarial Control Tokens. CoRR Tung-Ling Li, Yuhao Wu, Hongliang Liu
2025	A*	`conf`	AllHands :Ask Me Anything on Large-scale Verbatim Feedback via Large Language Models. ICDE Chaoyun Zhang, Zicheng Ma, Yuhao Wu, Shilin He, Si Qin, Minghua Ma, Xiaoting Qin, Yu Kang, Yuyi Liang, Xiaoyu Gou, Yajie Xue, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Qi Zhang
2025	J	`jnl`	CPA-TAM: channel patch aggregation and topological association mining for visible-infrared person re-identification. J. Supercomput. Huilin Liu, Chenxi Hu, Xiaolong Li, Yuhao Wu, Chengjie Gu, Yu Sun, Tian Liu
2025	J	`jnl`	Deformation-aware image restoration from atmospheric turbulence based on quasiconformal geometry and pulse-coupled neural network. Vis. Comput. Jie Yin, Tao Sun, Guorong Zhang, Yuhao Wu, Xiao Zhang
2025	J	`jnl`	Expertise need not monopolize: Action-Specialized Mixture of Experts for Vision-Language-Action Learning. CoRR Weijie Shen, Yitian Liu, Yuhao Wu, Zhixuan Liang, Sijia Gu, Dehui Wang, Tian Nian, Lei Xu, Yusen Qin, Jiangmiao Pang, Xinping Guan, Xiaokang Yang, Yao Mu
2025	J	`jnl`	Fusion of pose hashing matching and dual-level label refinement for unsupervised visible-infrared person re-identification. J. Electronic Imaging Huilin Liu, Xiaolong Li, Yuhao Wu, Chenxi Hu, Wanqi Ma, Tian Liu
2025	J	`jnl`	Kimi Linear: An Expressive, Efficient Attention Architecture. CoRR Yu Zhang, Zongyu Lin, Xingcheng Yao, Jiaxi Hu, Fanqing Meng, Chengyin Liu, Xin Men, Songlin Yang, Zhiyuan Li, Wentao Li, Enzhe Lu, Weizhou Liu, Yanru Chen, Weixin Xu, Longhui Yu, Yejie Wang, Yu Fan, Longguang Zhong, Enming Yuan, Dehao Zhang, Yizhi Zhang, T. Y. Liu, Haiming Wang, Shengjun Fang, Weiran He, Shaowei Liu, Yiwei Li, Jianlin Su, Jiezhong Qiu, Bo Pang, Junjie Yan, Zhejun Jiang, Weixiao Huang, Bohong Yin, Jiacheng You, Chu Wei, Zhengtao Wang, Chao Hong, Yutian Chen, Guanduo Chen, Yucheng Wang, Huabin Zheng, Feng Wang, Yibo Liu, Mengnan Dong, Zheng Zhang, Siyuan Pan, Wenhao Wu, Yuhao Wu, Longyu Guan, Jiawen Tao, Guohong Fu, Xinran Xu, Yuzhi Wang, Guokun Lai, Yuxin Wu, Xinyu Zhou, Zhilin Yang, Yulun Du
2025	J	`jnl`	Learning Simulatable Models of Cloth with Spatially-varying Constitutive Properties. CoRR Guanxiong Chen, Shashwat Suri, Yuhao Wu, Etienne Voulga, David I. W. Levin, Dinesh K. Pai
2025	J	`jnl`	LiveSearchBench: An Automatically Constructed Benchmark for Retrieval and Reasoning over Dynamic Knowledge. CoRR Heng Zhou, Ao Yu, Yuchen Fan, Jianing Shi, Li Kang, Hejia Geng, Yongting Zhang, Yutao Fan, Yuhao Wu, Tiancheng He, Yiran Qin, Lei Bai, Zhenfei Yin
2025	A*	`conf`	LongGenBench: Benchmarking Long-Form Generation in Long Context LLMs. ICLR Yuhao Wu, Ming Shan Hee, Zhiqiang Hu, Roy Ka-Wei Lee
2025	A*	`conf`	LongWriter-V: Enabling Ultra-Long and High-Fidelity Generation in Vision-Language Models. ACM Multimedia Shangqing Tu, Yucheng Wang, Daniel Zhang-Li, Yushi Bai, Jifan Yu, Yuhao Wu, Lei Hou, Huiqin Liu, Zhiyuan Liu, Bin Xu, Juanzi Li
2025	J	`jnl`	LongWriter-V: Enabling Ultra-Long and High-Fidelity Generation in Vision-Language Models. CoRR Shangqing Tu, Yucheng Wang, Daniel Zhang-Li, Yushi Bai, Jifan Yu, Yuhao Wu, Lei Hou, Huiqin Liu, Zhiyuan Liu, Bin Xu, Juanzi Li
2025	J	`jnl`	LongWriter-Zero: Mastering Ultra-Long Text Generation via Reinforcement Learning. CoRR Yuhao Wu, Yushi Bai, Zhiqiang Hu, Roy Ka-Wei Lee, Juanzi Li
2025	J	`jnl`	Multi-granularity enhanced feature learning for visible-infrared person re-identification. J. Supercomput. Huilin Liu, Yuhao Wu, Zihan Tang, Xiaolong Li, Shuzhi Su, Xingzhu Liang, Pengfei Zhang
2025	J	`jnl`	NOTAM-Evolve: A Knowledge-Guided Self-Evolving Optimization Framework with LLMs for NOTAM Interpretation. CoRR Maoqi Liu, Quan Fang, Yuhao Wu, Can Zhao, Yang Yang, Kaiquan Cai
2025	J	`jnl`	Optimizing Energy Storage: A Novel Hybrid Power System Combining Supercapacitors and Lithium-Ion Batteries With Advanced Optimization Algorithms. J. Electr. Comput. Eng. Chaoming Lin, Guolan Wu, Youwu Liu, Yuhao Wu
2025	A*	`conf`	Resolving Conflicting Evidence in Automated Fact-Checking: A Study on Retrieval-Augmented LLMs. IJCAI Ziyu Ge, Yuhao Wu, Daniel Wai Kit Chin, Roy Ka-Wei Lee, Rui Cao
2025	J	`jnl`	Resolving Conflicting Evidence in Automated Fact-Checking: A Study on Retrieval-Augmented LLMs. CoRR Ziyu Ge, Yuhao Wu, Daniel Wai Kit Chin, Roy Ka-Wei Lee, Rui Cao
2025	—	`conf`	SILLM4Rec: Self-Improving with Chain of Thought Enhanced Preference Optimization for Multimodal Recommendation. MMAsia Yuhao Wu, Fang Quan, Maoqi Liu, Xiaowen Huang, Jitao Sang
2025	J	`jnl`	Shifting Long-Context LLMs Research from Input to Output. CoRR Yuhao Wu, Yushi Bai, Zhiqing Hu, Shangqing Tu, Ming Shan Hee, Juanzi Li, Roy Ka-Wei Lee
2025	J	`jnl`	Study on multimodal spatially-constrained contrastive learning for knee osteoarthritis severity grading. J. Biomed. Informatics Yuhao Wu, Zhijie Xiang, Yuzhe Tan, Jiayue Hu, Desheng Chen, Jing Zhao, Haicheng Wei
2025	J	`jnl`	SuperWriter: Reflection-Driven Long-Form Generation with Large Language Models. CoRR Yuhao Wu, Yushi Bai, Zhiqiang Hu, Juanzi Li, Roy Ka-Wei Lee
2024	J	`jnl`	A Survey: Collaborative Hardware and Software Design in the Era of Large Language Models. CoRR Cong Guo, Feng Cheng, Zhixu Du, James Kiessling, Jonathan Ku, Shiyu Li, Ziru Li, Mingyuan Ma, Tergel Molom-Ochir, Benjamin Morris, Haoxuan Shan, Jingwei Sun, Yitu Wang, Chiyue Wei, Xueying Wu, Yuhao Wu, Hao (Frank) Yang, Jingyang Zhang, Junyao Zhang, Qilin Zheng, Guanglei Zhou, Hai Li, Yiran Chen
2024	J	`jnl`	AllHands: Ask Me Anything on Large-scale Verbatim Feedback via Large Language Models. CoRR Chaoyun Zhang, Zicheng Ma, Yuhao Wu, Shilin He, Si Qin, Minghua Ma, Xiaoting Qin, Yu Kang, Yuyi Liang, Xiaoyu Gou, Yajie Xue, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Qi Zhang
2024	—	`conf`	Anomaly Detection Method for Business Processes Based on Graph Convolutional Neural Network. ICNSC Zihao Liu, Yinhua Tian, Yuhao Wu
2024	J	`jnl`	CoBEV: Elevating Roadside 3D Object Detection With Depth and Height Complementarity. IEEE Trans. Image Process. Hao Shi, Chengshan Pang, Jiaming Zhang, Kailun Yang, Yuhao Wu, Huajian Ni, Yining Lin, Rainer Stiefelhagen, Kaiwei Wang
2024	—	`conf`	Combinative Bio-feature Proteins Generation via Pre-trained Protein Large Language Models. BIBM Xin Sun, Yuhao Wu
2024	J	`jnl`	LongGenBench: Benchmarking Long-Form Generation in Long Context LLMs. CoRR Yuhao Wu, Ming Shan Hee, Zhiqing Hu, Roy Ka-Wei Lee
2024	A*	`conf`	MAPSeg: Unified Unsupervised Domain Adaptation for Heterogeneous Medical Image Segmentation Based on 3D Masked Autoencoding and Pseudo-Labeling. CVPR Xuzhe Zhang, Yuhao Wu, Elsa D. Angelini, Ang Li, Jia Guo, Jerod M. Rasmussen, Thomas G. O'Connor, Pathik D. Wadhwa, Andrea Parolin Jackowski, Hai Li, Jonathan Posner, Andrew F. Laine, Yun Wang
2024	J	`jnl`	Mitigating Label Noise on Graph via Topological Sample Selection. CoRR Yuhao Wu, Jiangchao Yao, Xiaobo Xia, Jun Yu, Ruxin Wang, Bo Han, Tongliang Liu
2024	A*	`conf`	Mitigating Label Noise on Graphs via Topological Sample Selection. ICML Yuhao Wu, Jiangchao Yao, Xiaobo Xia, Jun Yu, Ruxin Wang, Bo Han, Tongliang Liu
2024	—	`conf`	SiDA: Sparsity-Inspired Data-Aware Serving for Efficient and Scalable Large Mixture-of-Experts Models. MLSys Zhixu Du, Shiyu Li, Yuhao Wu, Xiangyu Jiang, Jingwei Sun, Qilin Zheng, Yongkai Wu, Ang Li, Hai Li, Yiran Chen
2024	A*	`conf`	Unraveling the Impact of Heterophilic Structures on Graph Positive-Unlabeled Learning. ICML Yuhao Wu, Jiangchao Yao, Bo Han, Lina Yao, Tongliang Liu
2024	J	`jnl`	Unraveling the Impact of Heterophilic Structures on Graph Positive-Unlabeled Learning. CoRR Yuhao Wu, Jiangchao Yao, Bo Han, Lina Yao, Tongliang Liu
2023	J	`jnl`	3D Masked Autoencoding and Pseudo-labeling for Domain Adaptive Segmentation of Heterogeneous Infant Brain MRI. CoRR Xuzhe Zhang, Yuhao Wu, Jia Guo, Jerod M. Rasmussen, Thomas G. O'Connor, Hyagriv N. Simhan, Sonja Entringer, Pathik D. Wadhwa, Claudia Buss, Cristiane S. Duarte, Andrea Jackowski, Hai Li, Jonathan Posner, Andrew F. Laine, Yun Wang
2023	J	`jnl`	CoBEV: Elevating Roadside 3D Object Detection with Depth and Height Complementarity. CoRR Hao Shi, Chengshan Pang, Jiaming Zhang, Kailun Yang, Yuhao Wu, Huajian Ni, Yining Lin, Rainer Stiefelhagen, Kaiwei Wang
2023	J	`jnl`	Gradient-Constraint Super-Resolution Reconstruction Method Serving for Infrared Target Detection. IEEE Consumer Electron. Mag. Tao Sun, Zhengqiang Xiong, Jie Yin, Yuhao Wu, Zhengxing Wang
2023	J	`jnl`	Harnessing Scalable Transactional Stream Processing for Managing Large Language Models [Vision]. CoRR Shuhao Zhang, Xianzhi Zeng, Yuhao Wu, Zhonghao Yang
2023	J	`jnl`	Making Binary Classification from Multiple Unlabeled Datasets Almost Free of Supervision. CoRR Yuhao Wu, Xiaobo Xia, Jun Yu, Bo Han, Gang Niu, Masashi Sugiyama, Tongliang Liu
2023	J	`jnl`	Online Continual Knowledge Learning for Language Models. CoRR Yuhao Wu, Tongjun Shi, Karthick Sharma, Chun-Wei Seah, Shuhao Zhang
2023	A*	`conf`	SentiStream: A Co-Training Framework for Adaptive Online Sentiment Analysis in Evolving Data Streams. EMNLP Yuhao Wu, Karthick Sharma, Chun Seah, Shuhao Zhang
2023	J	`jnl`	SiDA: Sparsity-Inspired Data-Aware Serving for Efficient and Scalable Large Mixture-of-Experts Models. CoRR Zhixu Du, Shiyu Li, Yuhao Wu, Xiangyu Jiang, Jingwei Sun, Qilin Zheng, Yongkai Wu, Ang Li, Hai (Helen) Li, Yiran Chen
2022	—	`conf`	Emotion Makes Rumor Viral? The Effects of Discrete Emotions on Rumor-Mongering on Social Media During a Social Crisis. WHICEB Yuhao Wu, Chuxin Zou, Ling Wang, Zhao Pan
2022	—	`conf`	Multivariate Time Series Imputation Based on Masked Autoencoding with Transformer. HPCC/DSS/SmartCity/DependSys Yongsheng Wang, Hao Xu, Zhiwei Xu, Jing Gao, Yuhao Wu, Zhe Zhang
2022	—	`conf`	Next Generation Federated Learning for Edge Devices: An Overview. CIC Jianyi Zhang, Zhixu Du, Jingwei Sun, Ang Li, Minxue Tang, Yuhao Wu, Zhihui Gao, Martin Kuo, Hai Helen Li, Yiran Chen
2021	J	`jnl`	Multi-Scale Neighborhood Feature Extraction and Aggregation for Point Cloud Segmentation. IEEE Trans. Circuits Syst. Video Technol. Dawei Li, Guoliang Shi, Yuhao Wu, Yanping Yang, Mingbo Zhao
2020	—	`conf`	Perceptual Sensitivity Based Image Structure-Texture Decomposition. MIPR Jinjian Wu, Yuhao Wu, Rong Che, Yongxu Liu
2020	—	`conf`	Unsupervised Deep Learning for Just Noticeable Difference Estimation. ICME Workshops Yuhao Wu, Weiping Ji, Jinjian Wu
2019	J	`jnl`	A PSO-based group decision making model with multiplicative reciprocal matrices under flexibility. Soft Comput. Fang Liu, Yuhao Wu, Jiawei Zhang, Qin Yu
2019	J	`jnl`	How do developers utilize source code from stack overflow? Empir. Softw. Eng. Yuhao Wu, Shaowei Wang, Cor-Paul Bezemer, Katsuro Inoue
2018	J	`jnl`	A Modified Consensus Model in Group Decision Making With an Allocation of Information Granularity. IEEE Trans. Fuzzy Syst. Fang Liu, Yuhao Wu, Witold Pedrycz
2017	J	`jnl`	Analysis of license inconsistency in large collections of open source projects. Empir. Softw. Eng. Yuhao Wu, Yuki Manabe, Tetsuya Kanda, Daniel M. Germán, Katsuro Inoue
2017	—	`conf`	Evolution of code clone ratios throughout development history of open-source C and C++ programs. IWSC Anfernee Goon, Yuhao Wu, Makoto Matsushita, Katsuro Inoue
2017	—	`conf`	How are Developers Treating License Inconsistency Issues? A Case Study on License Inconsistency Evolution in FOSS Projects. OSS Yuhao Wu, Yuki Manabe, Daniel M. Germán, Katsuro Inoue
2016	J	`jnl`	Jointly registering and fusing images from multiple sensors. Inf. Fusion Yinghao Li, Zhongshi He, Hao Zhu, Weiwei Zhang, Yuhao Wu
2015	A	`conf`	A Method to Detect License Inconsistencies in Large-Scale Open Source Projects. MSR Yuhao Wu, Yuki Manabe, Tetsuya Kanda, Daniel M. Germán, Katsuro Inoue