Kaixin Wang - RankMe

98 papers A* 18A 2B 2C 2Journal 64Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Beyond Pixel Histories: World Models with Persistent 3D State. CoRR Samuel Garcin, Thomas Walker, Steven McDonagh, Tim Pearce, Hakan Bilen, Tianyu He, Kaixin Wang, Jiang Bian
2026	J	`jnl`	Enhancing Underwater Images via Resonant Fusion. IEEE Trans. Image Process. Xinwei Xue, Zimeng Xu, Kaixin Wang, Jincheng Yuan, Jingchun Zhou, Chengpei Xu, Xiaoke Shang, Long Ma, Weimin Wang
2026	J	`jnl`	Horizon Imagination: Efficient On-Policy Rollout in Diffusion World Models. CoRR Lior Cohen, Ofir Nabati, Kaixin Wang, Navdeep Kumar, Shie Mannor
2026	J	`jnl`	Maximal Biclique Enumeration with Improved Worst-Case Time Complexity Guarantee: A Partition-Oriented Strategy. CoRR Kaixin Wang, Kaiqiang Yu, Cheng Long
2025	J	`jnl`	Co-Evolving Latent Action World Models. CoRR Yucen Wang, Fengming Zhang, De-Chuan Zhan, Li Zhao, Kaixin Wang, Jiang Bian
2025	J	`jnl`	CodeChemist: Functional Knowledge Transfer for Low-Resource Code Generation via Test-Time Scaling. CoRR Kaixin Wang, Tianlin Li, Xiaoyu Zhang, Aishan Liu, Xianglong Liu, Ziqi Liu, Zhiqiang Zhang, Jun Zhou, Bin Shi
2025	J	`jnl`	Discover, Learn, and Reinforce: Scaling Vision-Language-Action Pretraining with Diverse RL-Generated Trajectories. CoRR Rushuai Yang, Zhiyuan Feng, Tianxiang Zhang, Kaixin Wang, Chuheng Zhang, Li Zhao, Xiu Su, Yi Chen, Jiang Bian
2025	J	`jnl`	Dyn-O: Building Structured World Models with Object-Centric Representations. CoRR Zizhao Wang, Kaixin Wang, Li Zhao, Peter Stone, Jiang Bian
2025	J	`jnl`	EffRetMamba: A Light-Weight Mamba for Low-Light Image Enhancement. Circuits Syst. Signal Process. Xingpeng Zhang, Sijing Wu, Qiuli Wang, Kaixin Wang
2025	J	`jnl`	Fast Maximum Common Subgraph Search: A Redundancy-Reduced Backtracking Approach. CoRR Kaiqiang Yu, Kaixin Wang, Cheng Long, Laks V. S. Lakshmanan, Reynold Cheng
2025	J	`jnl`	Fast Maximum Common Subgraph Search: A Redundancy-Reduced Backtracking Approach. Proc. ACM Manag. Data Kaiqiang Yu, Kaixin Wang, Cheng Long, Laks V. S. Lakshmanan, Reynold Cheng
2025	J	`jnl`	Geo-Mamba: A data-driven Mamba framework for spatiotemporal modeling with multi-source geographic factor integration. Int. J. Appl. Earth Obs. Geoinformation Zongwen Shi, Chengyi Zhao, Kaixin Wang, Xiangkui Kong, Jianting Zhu
2025	J	`jnl`	How Do VLAs Effectively Inherit from VLMs? CoRR Chuheng Zhang, Rushuai Yang, Xiaoyu Chen, Kaixin Wang, Li Zhao, Yi Chen, Jiang Bian
2025	A*	`conf`	How Far Is Video Generation from World Model: A Physical Law Perspective. ICML Bingyi Kang, Yang Yue, Rui Lu, Zhijie Lin, Yang Zhao, Kaixin Wang, Gao Huang, Jiashi Feng
2025	J	`jnl`	Hybrid attention multi-scale feature aggregation for efficient nuclei segmentation and classification in H&E-stained images. Multim. Syst. Xingpeng Zhang, Peng Guo, Qiuli Wang, Kaixin Wang, Sijing Wu, Jing Xu, Yang Yu
2025	J	`jnl`	Investigating mixed traffic dynamics of pedestrians and non-motorized vehicles at urban intersections: Observation experiments and modelling. CoRR Chaojia Yu, Kaixin Wang, Junle Li, Jingjie Wang
2025	J	`jnl`	Lightweight multi-scale attention group fusion structure for nuclei segmentation. J. Supercomput. Xingpeng Zhang, Jing Xu, Dong He, Kaixin Wang, Liping Wang
2025	J	`jnl`	M CoRR Lior Cohen, Kaixin Wang, Bingyi Kang, Uri Gadot, Shie Mannor
2025	A*	`conf`	Maximal Clique Enumeration with Hybrid Branching and Early Termination. ICDE Kaixin Wang, Kaiqiang Yu, Cheng Long
2025	J	`jnl`	Milmer: a Framework for Multiple Instance Learning based Multimodal Emotion Recognition. CoRR Zaitian Wang, Jian He, Yu Liang, Xiyuan Hu, Tianhao Peng, Kaixin Wang, Jiakai Wang, Chenlong Zhang, Weili Zhang, Shuang Niu, Xiaoyang Xie
2025	J	`jnl`	Multi-view Fake News Detection method based on graph neural network. KSII Trans. Internet Inf. Syst. Zhiqiang Wang, Qianli Huang, Kaixin Wang, Junlai Luo, Zhenguo Dong
2025	J	`jnl`	SoapFL: A Standard Operating Procedure for LLM-Based Method-Level Fault Localization. IEEE Trans. Software Eng. Yihao Qin, Shangwen Wang, Yiling Lou, Jinhao Dong, Kaixin Wang, Xiaoling Li, Xiaoguang Mao
2025	J	`jnl`	Social Networks: Enumerating Maximal Community Patterns in CoRR Gabriela Bourla, Kaixin Wang, Fan Wei, Runtian Zhou
2025	J	`jnl`	Software Development Life Cycle Perspective: A Survey of Benchmarks for Code Large Language Models and Agents. CoRR Kaixin Wang, Tianlin Li, Xiaoyu Zhang, Chong Wang, Weisong Sun, Yang Liu, Bin Shi
2025	J	`jnl`	TurboReg: TurboClique for Robust and Efficient Point Cloud Registration. CoRR Shaocheng Yan, Pengcheng Shi, Zhenjun Zhao, Kaixin Wang, Kuang Cao, Ji Wu, Jiayuan Li
2025	J	`jnl`	What Do Latent Action Models Actually Learn? CoRR Chuheng Zhang, Tim Pearce, Pushi Zhang, Kaixin Wang, Xiaoyu Chen, Wei Shen, Li Zhao, Jiang Bian
2025	J	`jnl`	villa-X: Enhancing Latent Action Modeling in Vision-Language-Action Models. CoRR Xiaoyu Chen, Hangxing Wei, Pushi Zhang, Chuheng Zhang, Kaixin Wang, Yanjiang Guo, Rushuai Yang, Yucen Wang, Xinquan Xiao, Li Zhao, Jianyu Chen, Jiang Bian
2024	J	`jnl`	AgentFL: Scaling LLM-based Fault Localization to Project-Level Context. CoRR Yihao Qin, Shangwen Wang, Yiling Lou, Jinhao Dong, Kaixin Wang, Xiaoling Li, Xiaoguang Mao
2024	A*	`conf`	Bring Your Own (Non-Robust) Algorithm to Solve Robust MDPs by Estimating The Worst Kernel. ICML Uri Gadot, Kaixin Wang, Navdeep Kumar, Kfir Yehuda Levy, Shie Mannor
2024	J	`jnl`	Deciphering the Roles of 2-D and 3-D Urban Landscape Metrics in Diurnal Surface Thermal Environment Along Urban Gradients. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Jiabao Niu, Jike Chen, Yufu Zang, Kaixin Wang, Decheng Ni, Zhigang Xu, Peibin Wang
2024	J	`jnl`	Deep learning-based efficient diagnosis of periapical diseases with dental X-rays. Image Vis. Comput. Kaixin Wang, Shengben Zhang, Zhiyuan Wei, Xinle Fang, Feng Liu, Min Han, Mi Du
2024	—	`conf`	EL-LSTM: A Multivariate Time Series Forecasting Model Combining Spiking Neurons and Long Short-Term Memory Networks. ICONIP (1) Lei Yang, Yuhan Jiang, Kaixin Wang, Pinjie Zhao, Kangshun Li
2024	A*	`conf`	Efficient Value Iteration for s-rectangular Robust Markov Decision Processes. ICML Navdeep Kumar, Kaixin Wang, Kfir Yehuda Levy, Shie Mannor
2024	J	`jnl`	Efficient k-Clique Listing: An Edge-Oriented Branching Strategy. Proc. ACM Manag. Data Kaixin Wang, Kaiqiang Yu, Cheng Long
2024	A*	`conf`	Evaluating Large Language Models in Class-Level Code Generation. ICSE Xueying Du, Mingwei Liu, Kaixin Wang, Hanlin Wang, Junwei Liu, Yixuan Chen, Jiayi Feng, Chaofeng Sha, Xin Peng, Yiling Lou
2024	J	`jnl`	Evaluating and Improving ChatGPT for Unit Test Generation. Proc. ACM Softw. Eng. Zhiqiang Yuan, Mingwei Liu, Shiji Ding, Kaixin Wang, Yixuan Chen, Xin Peng, Yiling Lou
2024	J	`jnl`	How Far is Video Generation from World Model: A Physical Law Perspective. CoRR Bingyi Kang, Yang Yue, Rui Lu, Zhijie Lin, Yang Zhao, Kaixin Wang, Gao Huang, Jiashi Feng
2024	A*	`conf`	Implicit Curriculum in Procgen Made Explicit. NeurIPS Zhenxiong Tan, Kaixin Wang, Xinchao Wang
2024	A*	`conf`	Improving Token-Based World Models with Parallel Observation Prediction. ICML Lior Cohen, Kaixin Wang, Bingyi Kang, Shie Mannor
2024	J	`jnl`	Improving Token-Based World Models with Parallel Observation Prediction. CoRR Lior Cohen, Kaixin Wang, Bingyi Kang, Shie Mannor
2024	J	`jnl`	Large Language Model-Based Agents for Software Engineering: A Survey. CoRR Junwei Liu, Kaixin Wang, Yixuan Chen, Xin Peng, Zhenpeng Chen, Lingming Zhang, Yiling Lou
2024	—	`conf`	Learning the Uncertainty Set in Robust Markov Decision Process. Tiny Papers @ ICLR Navdeep Kumar, Kaixin Wang, Uri Gadot, Kfir Yehuda Levy, Shie Mannor
2024	J	`jnl`	Maximal Clique Enumeration with Hybrid Branching and Early Termination. CoRR Kaixin Wang, Kaiqiang Yu, Cheng Long
2024	—	`conf`	Multi-relation Neural Network Recommendation Model Based on Knowledge Graph Embedding Algorithm. KSEM (1) Hongpu Liu, Jingfei Jiang, Kaixin Wang, Lingshu Kong, Jingshu Wang
2024	—	`conf`	Multi-scale Enhanced Convolutional Intermediary Attention Networks for Multivariate Long-Term Time Series Forecasting. ICPR (8) Lei Yang, Pinjie Zhao, Kaixin Wang, Yuhan Jiang, Kangshun Li
2024	—	`conf`	Policy Gradient for Reinforcement Learning with General Utilities. Tiny Papers @ ICLR Navdeep Kumar, Kaixin Wang, Utkarsh Pratiush, Kfir Yehuda Levy, Shie Mannor
2024	J	`jnl`	Vul-RAG: Enhancing LLM-based Vulnerability Detection via Knowledge-level RAG. CoRR Xueying Du, Geng Zheng, Kaixin Wang, Jiayi Feng, Wentai Deng, Mingwei Liu, Bihuan Chen, Xin Peng, Tao Ma, Yiling Lou
2023	J	`jnl`	An Efficient Solution to s-Rectangular Robust Markov Decision Processes. CoRR Navdeep Kumar, Kfir Levy, Kaixin Wang, Shie Mannor
2023	J	`jnl`	Analysis of Winter Anomaly and Annual Anomaly Based on Regression Approach. Remote. Sens. Kaixin Wang, Jiandi Feng, Zhenzhen Zhao, Baomin Han
2023	J	`jnl`	C-Procgen: Empowering Procgen with Controllable Contexts. CoRR Zhenxiong Tan, Kaixin Wang, Xinchao Wang
2023	J	`jnl`	ClassEval: A Manually-Crafted Benchmark for Evaluating LLMs on Class-level Code Generation. CoRR Xueying Du, Mingwei Liu, Kaixin Wang, Hanlin Wang, Junwei Liu, Yixuan Chen, Jiayi Feng, Chaofeng Sha, Xin Peng, Yiling Lou
2023	J	`jnl`	Efficient k-Clique Listing: An Edge-Oriented Branching Strategy. CoRR Kaixin Wang, Kaiqiang Yu, Cheng Long
2023	J	`jnl`	No More Manual Tests? Evaluating and Improving ChatGPT for Unit Test Generation. CoRR Zhiqiang Yuan, Yiling Lou, Mingwei Liu, Shiji Ding, Kaixin Wang, Yixuan Chen, Xin Peng
2023	A*	`conf`	PPG Reloaded: An Empirical Study on What Matters in Phasic Policy Gradient. ICML Kaixin Wang, Daquan Zhou, Jiashi Feng, Shie Mannor
2023	A*	`conf`	Reachability-Aware Laplacian Representation in Reinforcement Learning. ICML Kaixin Wang, Kuangqi Zhou, Jiashi Feng, Bryan Hooi, Xinchao Wang
2023	A*	`conf`	Reinforcement Learning Enhanced Weighted Sampling for Accurate Subgraph Counting on Fully Dynamic Graph Streams. ICDE Kaixin Wang, Cheng Long, Da Yan, Jie Zhang, H. V. Jagadish
2023	A*	`conf`	Revisiting Intrinsic Reward for Exploration in Procedurally Generated Environments. ICLR Kaixin Wang, Kuangqi Zhou, Bingyi Kang, Jiashi Feng, Shuicheng Yan
2023	J	`jnl`	Robust Reinforcement Learning via Adversarial Kernel Approximation. CoRR Kaixin Wang, Uri Gadot, Navdeep Kumar, Kfir Levy, Shie Mannor
2023	J	`jnl`	Single-Site Perishable Inventory Management Under Uncertainties: A Deep Reinforcement Learning Approach. IEEE Trans. Knowl. Data Eng. Kaixin Wang, Cheng Long, Darrell Joshua Ong, Jie Zhang, Xue-Ming Yuan
2022	—	`conf`	A Robust Blind Deblurring Method for Natural Blurry Images. ICIT Renfang Wen, Jian Chen, Linhuang Wu, Kaixin Wang
2022	—	`conf`	An Image Denoising Method for Real Scene Based on Pixel-Level Noise Estimation. CSSE Hui Hong, Mingsen He, Kaixin Wang, Linhuang Wu
2022	J	`jnl`	Efficient Policy Iteration for Robust Markov Decision Processes via Regularization. CoRR Navdeep Kumar, Kfir Levy, Kaixin Wang, Shie Mannor
2022	A*	`conf`	Geometric Warping Error Aware CNN for DIBR Oriented View Synthesis. ACM Multimedia Shuai Li, Kaixin Wang, Yanbo Gao, Xun Cai, Mao Ye
2022	—	`conf`	Jointly Modelling Uncertainty and Diversity for Active Molecular Property Prediction. LoG Kuangqi Zhou, Kaixin Wang, Jian Tang, Jiashi Feng, Bryan Hooi, Peilin Zhao, Tingyang Xu, Xinchao Wang
2022	—	`conf`	Night Vision Enhancement for License Plate Recognition based on Deep Learning. ICIT Kaixin Wang, Linhuang Wu, Shihao Zhang, Renfang Wen
2022	J	`jnl`	Policy Gradient for Reinforcement Learning with General Utilities. CoRR Navdeep Kumar, Kaixin Wang, Kfir Levy, Shie Mannor
2022	J	`jnl`	Reachability-Aware Laplacian Representation in Reinforcement Learning. CoRR Kaixin Wang, Kuangqi Zhou, Jiashi Feng, Bryan Hooi, Xinchao Wang
2022	J	`jnl`	Reinforcement Learning Enhanced Weighted Sampling for Accurate Subgraph Counting on Fully Dynamic Graph Streams. CoRR Kaixin Wang, Cheng Long, Da Yan, Jie Zhang, H. V. Jagadish
2022	A*	`conf`	Relational Reasoning via Set Transformers: Provable Efficiency and Applications to MARL. NeurIPS Fengzhuo Zhang, Boyi Liu, Kaixin Wang, Vincent Y. F. Tan, Zhuoran Yang, Zhaoran Wang
2022	J	`jnl`	Relational Reasoning via Set Transformers: Provable Efficiency and Applications to MARL. CoRR Fengzhuo Zhang, Boyi Liu, Kaixin Wang, Vincent Y. F. Tan, Zhuoran Yang, Zhaoran Wang
2022	A*	`conf`	The Geometry of Robust Value Functions. ICML Kaixin Wang, Navdeep Kumar, Kuangqi Zhou, Bryan Hooi, Jiashi Feng, Shie Mannor
2022	J	`jnl`	The Geometry of Robust Value Functions. CoRR Kaixin Wang, Navdeep Kumar, Kuangqi Zhou, Bryan Hooi, Jiashi Feng, Shie Mannor
2022	J	`jnl`	Tyger: Task-Type-Generic Active Learning for Molecular Property Prediction. CoRR Kuangqi Zhou, Kaixin Wang, Jiashi Feng, Jian Tang, Tingyang Xu, Xinchao Wang
2021	C	`conf`	A Discrete Grey Wolf Optimizer for Solving Flexible Job Shop Scheduling Problem with Lot-streaming. CSCWD Chunjiang Zhang, Kaixin Wang, Qingji Ma, Xinyu Li, Liang Gao
2021	—	`conf`	A Pre-LN Transformer Network Model with Lexical Features for Fine-Grained Sentiment Classification. CCIR Kaixin Wang, Xiujuan Xu, Yu Liu, Zhehuan Zhao
2021	A	`conf`	Adaptive Holding for Online Bottleneck Matching with Delays. SDM Kaixin Wang, Cheng Long, Yongxin Tong, Jie Zhang, Yi Xu
2021	J	`jnl`	The Cramer-Rao lower bound in a non-AWGN model for the affine phase retrieval. Int. J. Wavelets Multiresolution Inf. Process. Zhitao Zhuang, Kaixin Wang
2021	A*	`conf`	Towards Better Laplacian Representation in Reinforcement Learning with Generalized Graph Drawing. ICML Kaixin Wang, Kuangqi Zhou, Qixin Zhang, Jie Shao, Bryan Hooi, Jiashi Feng
2021	J	`jnl`	Towards Better Laplacian Representation in Reinforcement Learning with Generalized Graph Drawing. CoRR Kaixin Wang, Kuangqi Zhou, Qixin Zhang, Jie Shao, Bryan Hooi, Jiashi Feng
2021	A	`conf`	Understanding and Resolving Performance Degradation in Deep Graph Convolutional Networks. CIKM Kuangqi Zhou, Yanfei Dong, Kaixin Wang, Wee Sun Lee, Bryan Hooi, Huan Xu, Jiashi Feng
2020	B	`conf`	A cascaded step-temporal attention network for ECG arrhythmia classification. IJCNN Yanyun Tao, Guoqi Yue, Kaixin Wang, Yuzhen Zhang, Bin Jiang
2020	A*	`conf`	Improving Generalization in Reinforcement Learning with Mixture Regularization. NeurIPS Kaixin Wang, Bingyi Kang, Jie Shao, Jiashi Feng
2020	J	`jnl`	Improving Generalization in Reinforcement Learning with Mixture Regularization. CoRR Kaixin Wang, Bingyi Kang, Jie Shao, Jiashi Feng
2020	A*	`conf`	Neural Epitome Search for Architecture-Agnostic Network Compression. ICLR Daquan Zhou, Xiaojie Jin, Qibin Hou, Kaixin Wang, Jianchao Yang, Jiashi Feng
2019	J	`jnl`	Deep Model Compression via Filter Auto-sampling. CoRR Daquan Zhou, Xiaojie Jin, Kaixin Wang, Jianchao Yang, Jiashi Feng
2019	B	`conf`	Evolutionary synthetic minority oversampling technique with random forest for warfarin dose prediction in Chinese patients. CEC Yanyun Tao, Kaixin Wang, Yuzhen Zhang
2019	J	`jnl`	Online Multi-Skilled Task Assignment on Road Networks. IEEE Access Yu Liang, Wenjun Wu, Kaixin Wang, Chunming Hu
2019	A*	`conf`	PANet: Few-Shot Image Semantic Segmentation With Prototype Alignment. ICCV Kaixin Wang, Jun Hao Liew, Yingtian Zou, Daquan Zhou, Jiashi Feng
2019	J	`jnl`	PANet: Few-Shot Image Semantic Segmentation with Prototype Alignment. CoRR Kaixin Wang, Jun Hao Liew, Yingtian Zou, Daquan Zhou, Jiashi Feng
2018	J	`jnl`	Mining social lending motivations for loan project recommendations. Expert Syst. Appl. Jiaqi Yan, Kaixin Wang, Yi Liu, Kaiquan Xu, Lele Kang, Xi Chen, Hong Zhu
2017	C	`conf`	Lending Motivation Meets Home and Cultural Bias: A Study on Kiva. ICIS Jiaqi Yan, Yi Liu, Yani Shi, Kaixin Wang
2016	J	`jnl`	An integrated static detection and analysis framework for android. Pervasive Mob. Comput. Jun Song, Chunling Han, Kaixin Wang, Jian Zhao, Rajiv Ranjan, Lizhe Wang
2011	J	`jnl`	An O(N log J. Comput. Phys. Hong Wang, Kaixin Wang
2010	J	`jnl`	A direct O(N log J. Comput. Phys. Hong Wang, Kaixin Wang, Treena Sircar
2010	J	`jnl`	An Optimal-Order Error Estimate to ELLAM Schemes for Transient Advection-Diffusion Equations on Unstructured Meshes. SIAM J. Numer. Anal. Kaixin Wang, Hong Wang
2010	J	`jnl`	Uniform Estimates of an Eulerian-Lagrangian Method for Time-Dependent Convection-Diffusion Equations in Multiple Space Dimensions. SIAM J. Numer. Anal. Hong Wang, Kaixin Wang
2007	J	`jnl`	A characteristic method for porous medium flow. Int. J. Comput. Sci. Math. Mohamed Al-Lawatia, Kaixin Wang, Aleksey S. Telyakovskiy, Hong Wang
2007	J	`jnl`	Uniform Estimates for Eulerian-Lagrangian Methods for Singularly Perturbed Time-Dependent Problems. SIAM J. Numer. Anal. Hong Wang, Kaixin Wang