Kun Wang - RankMe

57 papers A* 13Journal 42Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Vision for Auto Research with LLM Agents. CoRR Chengwei Liu, Chong Wang, Jiayue Cao, Jingquan Ge, Kun Wang, Lvye Zhang, Ming-Ming Cheng, Penghai Zhao, Tianlin Li, Xiaojun Jia, Xiang Li, Xinfeng Li, Yang Liu, Yebo Feng, Yihao Huang, Yijia Xu, Yuqiang Sun, Zhenhong Zhou, Zhengzi Xu
2025	J	`jnl`	BeamVQ: Beam Search with Vector Quantization to Mitigate Data Scarcity in Physical Spatiotemporal Forecasting. CoRR Weiyan Wang, Xingjian Shi, Ruiqi Shu, Yuan Gao, Rui Ray Chen, Kun Wang, Fan Xu, Jinbao Xue, Shuaipeng Li, Yangyu Tao, Di Wang, Hao Wu, Xiaomeng Huang
2025	J	`jnl`	Benchmarking LLMs in Recommendation Tasks: A Comparative Evaluation with Conventional Recommenders. CoRR Qijiong Liu, Jieming Zhu, Lu Fan, Kun Wang, Hengchang Hu, Wei Guo, Yong Liu, Xiao-Ming Wu
2025	A*	`conf`	Completion as Enhancement: A Degradation-Aware Selective Image Guided Network for Depth Completion. CVPR Zhiqiang Yan, Zhengxue Wang, Kun Wang, Jun Li, Jian Yang
2025	J	`jnl`	DD-Ranking: Rethinking the Evaluation of Dataset Distillation. CoRR Zekai Li, Xinhao Zhong, Samir Khaki, Zhiyuan Liang, Yuhao Zhou, Mingjia Shi, Ziqiao Wang, Xuanlei Zhao, Wangbo Zhao, Ziheng Qin, Mengxuan Wu, Pengfei Zhou, Haonan Wang, David Junhao Zhang, Jia-Wei Liu, Shaobo Wang, Dai Liu, Linfeng Zhang, Guang Li, Kun Wang, Zheng Zhu, Zhiheng Ma, Joey Tianyi Zhou, Jiancheng Lv, Yaochu Jin, Peihao Wang, Kaipeng Zhang, Lingjuan Lyu, Yiran Huang, Zeynep Akata, Zhiwei Deng, Xindi Wu, George Cazenavette, Yuzhang Shang, Justin Cui, Jindong Gu, Qian Zheng, Hao Ye, Shuo Wang, Xiaobo Wang, Yan Yan, Angela Yao, Mike Zheng Shou, Tianlong Chen, Hakan Bilen, Baharan Mirzasoleiman, Manolis Kellis, Konstantinos N. Plataniotis, Zhangyang Wang, Bo Zhao, Yang You, Kai Wang
2025	A*	`conf`	Depth-Centric Dehazing and Depth-Estimation from Real-World Hazy Driving Video. AAAI Junkai Fan, Kun Wang, Zhiqiang Yan, Xiang Chen, Shangbing Gao, Jun Li, Jian Yang
2025	J	`jnl`	Learning Inverse Laplacian Pyramid for Progressive Depth Completion. CoRR Kun Wang, Zhiqiang Yan, Junkai Fan, Jun Li, Jian Yang
2025	A*	`conf`	Position: LLMs Can be Good Tutors in English Education. EMNLP Jingheng Ye, Shen Wang, Deqing Zou, Yibo Yan, Kun Wang, Hai-Tao Zheng, Ruitong Liu, Zenglin Xu, Irwin King, Philip S. Yu, Qingsong Wen
2025	J	`jnl`	Position: LLMs Can be Good Tutors in Foreign Language Education. CoRR Jingheng Ye, Shen Wang, Deqing Zou, Yibo Yan, Kun Wang, Hai-Tao Zheng, Zenglin Xu, Irwin King, Philip S. Yu, Qingsong Wen
2025	J	`jnl`	Tri-Perspective View Decomposition for Geometry Aware Depth Completion and Super-Resolution. IEEE Trans. Pattern Anal. Mach. Intell. Zhiqiang Yan, Kun Wang, Xiang Li, Guangwei Gao, Jun Li, Jian Yang
2025	J	`jnl`	Turb-L1: Achieving Long-term Turbulence Tracing By Tackling Spectral Bias. CoRR Hao Wu, Yuan Gao, Ruiqi Shu, Zean Han, Fan Xu, Zhihong Zhu, Qingsong Wen, Xian Wu, Kun Wang, Xiaomeng Huang
2024	J	`jnl`	A Survey of Mathematical Reasoning in the Era of Multimodal Large Language Model: Benchmark, Method & Challenges. CoRR Yibo Yan, Jiamin Su, Jianxiang He, Fangteng Fu, Xu Zheng, Yuanhuiyi Lyu, Kun Wang, Shen Wang, Qingsong Wen, Xuming Hu
2024	J	`jnl`	A deep learning approach for inter-patient classification of premature ventricular contraction from electrocardiogram. Biomed. Signal Process. Control. Ziqiang Wang, Kun Wang, Xiaozhong Chen, Yefeng Zheng, Xian Wu
2024	J	`jnl`	All Nodes are created Not Equal: Node-Specific Layer Aggregation and Filtration for GNN. CoRR Shilong Wang, Hao Wu, Yifan Duan, Guibin Zhang, Guohao Li, Yuxuan Liang, Shirui Pan, Kun Wang, Yang Wang
2024	J	`jnl`	AlphaEdit: Null-Space Constrained Knowledge Editing for Language Models. CoRR Junfeng Fang, Houcheng Jiang, Kun Wang, Yunshan Ma, Xiang Wang, Xiangnan He, Tat-Seng Chua
2024	A*	`conf`	AltNeRF: Learning Robust Neural Radiance Field via Alternating Depth-Pose Optimization. AAAI Kun Wang, Zhiqiang Yan, Huang Tian, Zhenyu Zhang, Xiang Li, Jun Li, Jian Yang
2024	J	`jnl`	Completion as Enhancement: A Degradation-Aware Selective Image Guided Network for Depth Completion. CoRR Zhiqiang Yan, Zhengxue Wang, Kun Wang, Jun Li, Jian Yang
2024	J	`jnl`	Cut the Crap: An Economical Communication Pipeline for LLM-based Multi-Agent Systems. CoRR Guibin Zhang, Yanwei Yue, Zhixun Li, Sukwon Yun, Guancheng Wan, Kun Wang, Dawei Cheng, Jeffrey Xu Yu, Tianlong Chen
2024	A*	`conf`	DCDepth: Progressive Monocular Depth Estimation in Discrete Cosine Domain. NeurIPS Kun Wang, Zhiqiang Yan, Junkai Fan, Wanlu Zhu, Xiang Li, Jun Li, Jian Yang
2024	J	`jnl`	DCDepth: Progressive Monocular Depth Estimation in Discrete Cosine Domain. CoRR Kun Wang, Zhiqiang Yan, Junkai Fan, Wanlu Zhu, Xiang Li, Jun Li, Jian Yang
2024	J	`jnl`	Depth-Centric Dehazing and Depth-Estimation from Real-World Hazy Driving Video. CoRR Junkai Fan, Kun Wang, Zhiqiang Yan, Xiang Chen, Shangbing Gao, Jun Li, Jian Yang
2024	A*	`conf`	Driving-Video Dehazing with Non-Aligned Regularization for Safety Assistance. CVPR Junkai Fan, Jiangwei Weng, Kun Wang, Yijun Yang, Jianjun Qian, Jun Li, Jian Yang
2024	J	`jnl`	Driving-Video Dehazing with Non-Aligned Regularization for Safety Assistance. CoRR Junkai Fan, Jiangwei Weng, Kun Wang, Yijun Yang, Jianjun Qian, Jun Li, Jian Yang
2024	J	`jnl`	ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection. CoRR Yibo Yan, Shen Wang, Jiahao Huo, Hang Li, Boyan Li, Jiamin Su, Xiong Gao, Yifan Zhang, Tianlong Xu, Zhendong Chu, Aoxiao Zhong, Kun Wang, Hui Xiong, Philip S. Yu, Xuming Hu, Qingsong Wen
2024	J	`jnl`	Explainable and Interpretable Multimodal Large Language Models: A Comprehensive Survey. CoRR Yunkai Dang, Kaichen Huang, Jiahao Huo, Yibo Yan, Sirui Huang, Dongrui Liu, Mengxi Gao, Jie Zhang, Chen Qian, Kun Wang, Yong Liu, Jing Shao, Hui Xiong, Xuming Hu
2024	J	`jnl`	G-Designer: Architecting Multi-agent Communication Topologies via Graph Neural Networks. CoRR Guibin Zhang, Yanwei Yue, Xiangguo Sun, Guancheng Wan, Miao Yu, Junfeng Fang, Kun Wang, Dawei Cheng
2024	J	`jnl`	GDeR: Safeguarding Efficiency, Balancing, and Robustness via Prototypical Graph Pruning. CoRR Guibin Zhang, Haonan Dong, Yuchen Zhang, Zhixun Li, Dingshuo Chen, Kai Wang, Tianlong Chen, Yuxuan Liang, Dawei Cheng, Kun Wang
2024	J	`jnl`	Learning Complementary Correlations for Depth Super-Resolution With Incomplete Data in Real World. IEEE Trans. Neural Networks Learn. Syst. Zhiqiang Yan, Kun Wang, Xiang Li, Zhenyu Zhang, Guangyu Li, Jun Li, Jian Yang
2024	J	`jnl`	MINER: Mining the Underlying Pattern of Modality-Specific Neurons in Multimodal Large Language Models. CoRR Kaichen Huang, Jiahao Huo, Yibo Yan, Kun Wang, Yutao Yue, Xuming Hu
2024	J	`jnl`	MME-RealWorld: Could Your Multimodal LLM Challenge High-Resolution Real-World Scenarios that are Difficult for Humans? CoRR Yifan Zhang, Huanyu Zhang, Haochen Tian, Chaoyou Fu, Shuangqing Zhang, Junfei Wu, Feng Li, Kun Wang, Qingsong Wen, Zhang Zhang, Liang Wang, Rong Jin, Tieniu Tan
2024	J	`jnl`	Mind Scramble: Unveiling Large Language Model Psychology Via Typoglycemia. CoRR Miao Yu, Junyuan Mao, Guibin Zhang, Jingheng Ye, Junfeng Fang, Aoxiao Zhong, Yang Liu, Yuxuan Liang, Kun Wang, Qingsong Wen
2024	J	`jnl`	Mitigating Modality Prior-Induced Hallucinations in Multimodal Large Language Models via Deciphering Attention Causality. CoRR Guanyu Zhou, Yibo Yan, Xin Zou, Kun Wang, Aiwei Liu, Xuming Hu
2024	J	`jnl`	NetSafe: Exploring the Topological Safety of Multi-agent Networks. CoRR Miao Yu, Shilong Wang, Guibin Zhang, Junyuan Mao, Chenlong Yin, Qijiong Liu, Qingsong Wen, Kun Wang, Yang Wang
2024	J	`jnl`	On the Role of Attention Heads in Large Language Model Safety. CoRR Zhenhong Zhou, Haiyang Yu, Xinghua Zhang, Rongwu Xu, Fei Huang, Kun Wang, Yang Liu, Junfeng Fang, Yongbin Li
2024	J	`jnl`	Optimizing Multispectral Object Detection: A Bag of Tricks and Comprehensive Benchmarks. CoRR Chen Zhou, Peng Cheng, Junfeng Fang, Yifan Zhang, Yibo Yan, Xiaojun Jia, Yanyan Xu, Kun Wang, Xiaochun Cao
2024	A*	`conf`	Predicting Carpark Availability in Singapore with Cross-Domain Data: A New Dataset and A Data-Driven Approach. IJCAI Huaiwu Zhang, Yutong Xia, Siru Zhong, Kun Wang, Zekun Tong, Qingsong Wen, Roger Zimmermann, Yuxuan Liang
2024	J	`jnl`	Predicting Parking Availability in Singapore with Cross-Domain Data: A New Dataset and A Data-Driven Approach. CoRR Huaiwu Zhang, Yutong Xia, Siru Zhong, Kun Wang, Zekun Tong, Qingsong Wen, Roger Zimmermann, Yuxuan Liang
2024	A*	`conf`	Towards Robust Trajectory Representations: Isolating Environmental Confounders with Causal Learning. IJCAI Kang Luo, Yuanshao Zhu, Wei Chen, Kun Wang, Zhengyang Zhou, Sijie Ruan, Yuxuan Liang
2024	J	`jnl`	Towards Robust Trajectory Representations: Isolating Environmental Confounders with Causal Learning. CoRR Kang Luo, Yuanshao Zhu, Wei Chen, Kun Wang, Zhengyang Zhou, Sijie Ruan, Yuxuan Liang
2024	J	`jnl`	Tri-Perspective View Decomposition for Geometry-Aware Depth Completion. CoRR Zhiqiang Yan, Yuankai Lin, Kun Wang, Yupeng Zheng, Yufei Wang, Zhenyu Zhang, Jun Li, Jian Yang
2024	A*	`conf`	Tri-Perspective view Decomposition for Geometry-Aware Depth Completion. CVPR Zhiqiang Yan, Yuankai Lin, Kun Wang, Yupeng Zheng, Yufei Wang, Zhenyu Zhang, Jun Li, Jian Yang
2023	J	`jnl`	AltNeRF: Learning Robust Neural Radiance Field via Alternating Depth-Pose Optimization. CoRR Kun Wang, Zhiqiang Yan, Huang Tian, Zhenyu Zhang, Xiang Li, Jun Li, Jian Yang
2023	A*	`conf`	Deciphering Spatio-Temporal Graph Forecasting: A Causal Lens and Treatment. NeurIPS Yutong Xia, Yuxuan Liang, Haomin Wen, Xu Liu, Kun Wang, Zhengyang Zhou, Roger Zimmermann
2023	J	`jnl`	Deciphering Spatio-Temporal Graph Forecasting: A Causal Lens and Treatment. CoRR Yutong Xia, Yuxuan Liang, Haomin Wen, Xu Liu, Kun Wang, Zhengyang Zhou, Roger Zimmermann
2023	A*	`conf`	DesNet: Decomposed Scale-Consistent Network for Unsupervised Depth Completion. AAAI Zhiqiang Yan, Kun Wang, Xiang Li, Zhenyu Zhang, Jun Li, Jian Yang
2023	A*	`conf`	Distortion and Uncertainty Aware Loss for Panoramic Depth Completion. ICML Zhiqiang Yan, Xiang Li, Kun Wang, Shuo Chen, Jun Li, Jian Yang
2023	J	`jnl`	Earthfarseer: Versatile Spatio-Temporal Dynamical Systems Modeling in One Model. CoRR Hao Wu, Shilong Wang, Yuxuan Liang, Zhengyang Zhou, Wei Huang, Wei Xiong, Kun Wang
2023	J	`jnl`	Learnable Differencing Center for Nighttime Depth Perception. CoRR Zhiqiang Yan, Yupeng Zheng, Kun Wang, Xiang Li, Zhenyu Zhang, Shuo Chen, Jun Li, Jian Yang
2023	J	`jnl`	The Snowflake Hypothesis: Training Deep GNN with One Node One Receptive field. CoRR Kun Wang, Guohao Li, Shilong Wang, Guibin Zhang, Kai Wang, Yang You, Xiaojiang Peng, Yuxuan Liang, Yang Wang
2023	J	`jnl`	Variable Radiance Field for Real-Life Category-Specifc Reconstruction from Single Image. CoRR Kun Wang, Zhiqiang Yan, Zhenyu Zhang, Xiang Li, Jun Li, Jian Yang
2022	J	`jnl`	DesNet: Decomposed Scale-Consistent Network for Unsupervised Depth Completion. CoRR Zhiqiang Yan, Kun Wang, Xiang Li, Zhenyu Zhang, Jun Li, Jian Yang
2022	J	`jnl`	Multi-Modal Masked Pre-Training for Monocular Panoramic Depth Completion. CoRR Zhiqiang Yan, Xiang Li, Kun Wang, Zhenyu Zhang, Jun Li, Jian Yang
2022	—	`conf`	Multi-modal Masked Pre-training for Monocular Panoramic Depth Completion. ECCV (1) Zhiqiang Yan, Xiang Li, Kun Wang, Zhenyu Zhang, Jun Li, Jian Yang
2022	—	`conf`	RigNet: Repetitive Image Guided Network for Depth Completion. ECCV (27) Zhiqiang Yan, Kun Wang, Xiang Li, Zhenyu Zhang, Jun Li, Jian Yang
2021	A*	`conf`	Regularizing Nighttime Weirdness: Efficient Self-supervised Monocular Depth Estimation in the Dark. ICCV Kun Wang, Zhenyu Zhang, Zhiqiang Yan, Xiang Li, Baobei Xu, Jun Li, Jian Yang
2021	J	`jnl`	Regularizing Nighttime Weirdness: Efficient Self-supervised Monocular Depth Estimation in the Dark. CoRR Kun Wang, Zhenyu Zhang, Zhiqiang Yan, Xiang Li, Baobei Xu, Jun Li, Jian Yang
2021	J	`jnl`	RigNet: Repetitive Image Guided Network for Depth Completion. CoRR Zhiqiang Yan, Kun Wang, Xiang Li, Zhenyu Zhang, Baobei Xu, Jun Li, Jian Yang