Can Jin - RankMe

45 papers A* 5B 1Journal 29Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Evaluating LLMs When They Do Not Know the Answer: Statistical Evaluation of Mathematical Reasoning via Comparative Signals. CoRR Zihan Dong, Zhixian Zhang, Yang Zhou, Can Jin, Ruijia Wu, Linjun Zhang
2026	J	`jnl`	Reasoning over Precedents Alongside Statutes: Case-Augmented Deliberative Alignment for LLM Safety. CoRR Can Jin, Rui Wu, Tong Che, Qixin Zhang, Hongwu Peng, Jiahui Zhao, Zhenting Wang, Wenqi Wei, Ligong Han, Zhao Zhang, Yuan Cao, Ruixiang Tang, Dimitris N. Metaxas
2026	J	`jnl`	Uncertainty-Aware Knowledge Distillation for Multimodal Large Language Models. CoRR Jingchen Sun, Shaobo Han, Deep Patel, Wataru Kohno, Can Jin, Changyou Chen
2025	—	`conf`	APEER : Automatic Prompt Engineering Enhances Large Language Model Reranking. WWW (Companion Volume) Can Jin, Hongwu Peng, Shiyu Zhao, Zhenting Wang, Wujiang Xu, Ligong Han, Jiahui Zhao, Kai Zhong, Sanguthevar Rajasekaran, Dimitris N. Metaxas
2025	J	`jnl`	EPO: Entropy-regularized Policy Optimization for LLM Agents Reinforcement Learning. CoRR Wujiang Xu, Wentian Zhao, Zhenting Wang, Yu-Jhe Li, Can Jin, Mingyu Jin, Kai Mei, Kun Wang, Dimitris N. Metaxas
2025	J	`jnl`	Effective Policy Learning for Multi-Agent Online Coordination Beyond Submodular Objectives. CoRR Qixin Zhang, Yan Sun, Can Jin, Xikun Zhang, Yao Shu, Puning Zhao, Li Shen, Dacheng Tao
2025	J	`jnl`	Gradient Imbalance in Direct Preference Optimization. CoRR Qinwei Ma, Jingzhe Shi, Can Jin, Jenq-Neng Hwang, Serge J. Belongie, Lei Li
2025	A*	`conf`	Graph Canvas for Controllable 3D Scene Generation. ACM Multimedia Libin Liu, Shen Chen, Sen Jia, Jingzhe Shi, Can Jin, Zongkai Wu, Jenq-Neng Hwang, Lei Li
2025	A*	`conf`	LoR-VP: Low-Rank Visual Prompting for Efficient Vision Model Adaptation. ICLR Can Jin, Ying Li, Mingyu Zhao, Shiyu Zhao, Zhenting Wang, Xiaoxiao He, Ligong Han, Tong Che, Dimitris N. Metaxas
2025	J	`jnl`	LoR-VP: Low-Rank Visual Prompting for Efficient Vision Model Adaptation. CoRR Can Jin, Ying Li, Mingyu Zhao, Shiyu Zhao, Zhenting Wang, Xiaoxiao He, Ligong Han, Tong Che, Dimitris N. Metaxas
2025	J	`jnl`	MHB: Multimodal Handshape-aware Boundary Detection for Continuous Sign Language Recognition. CoRR Mingyu Zhao, Zhanfu Yang, Yang Zhou, Zhaoyang Xia, Can Jin, Xiaoxiao He, Dimitris N. Metaxas
2025	J	`jnl`	M^3-Bench: Multi-Modal, Multi-Hop, Multi-Threaded Tool-Using MLLM Agent Benchmark. CoRR Yang Zhou, Mingyu Zhao, Zhenting Wang, Difei Gu, Bangwei Guo, Ruosong Ye, Ligong Han, Can Jin, Dimitris N. Metaxas
2025	J	`jnl`	Mitigating Forgetting Between Supervised and Reinforcement Learning Yields Stronger Reasoners. CoRR Xiangchi Yuan, Xiang Chen, Tong Yu, Dachuan Shi, Can Jin, Wenke Lee, Saayan Mitra
2025	A*	`conf`	Multinoulli Extension: A Lossless Yet Effective Probabilistic Framework for Subset Selection over Partition Constraints. ICML Qixin Zhang, Wei Huang, Can Jin, Puning Zhao, Yao Shu, Li Shen, Dacheng Tao
2025	—	`conf`	RankFlow: A Multi-Role Collaborative Reranking Workflow Utilizing Large Language Models. WWW (Companion Volume) Can Jin, Hongwu Peng, Anxiang Zhang, Nuo Chen, Jiahui Zhao, Xi Xie, Kuangzheng Li, Shuya Feng, Kai Zhong, Caiwen Ding, Dimitris N. Metaxas
2025	J	`jnl`	RankFlow: A Multi-Role Collaborative Reranking Workflow Utilizing Large Language Models. CoRR Can Jin, Hongwu Peng, Anxiang Zhang, Nuo Chen, Jiahui Zhao, Xi Xie, Kuangzheng Li, Shuya Feng, Kai Zhong, Caiwen Ding, Dimitris N. Metaxas
2025	B	`conf`	SpDiff: A Speech Sensing System with Diffusion Model Based on mm Wave Radar. WCNC Can Jin, Yulong Zhang, Xuanheng Li, Yi Sun, Jie Wang, Yuguang Fang
2025	J	`jnl`	Sparsity-Controllable Dynamic Top-p MoE for Large Foundation Model Pre-training. CoRR Can Jin, Hongwu Peng, Mingcan Xiang, Qixin Zhang, Xiangchi Yuan, Amit Hasan, Ohiremen Dibua, Yifan Gong, Yan Kang, Dimitris N. Metaxas
2025	J	`jnl`	Two Heads are Better Than One: Test-time Scaling of Multi-agent Collaborative Reasoning. CoRR Can Jin, Hongwu Peng, Qixin Zhang, Yujin Tang, Dimitris N. Metaxas, Tong Che
2025	A*	`conf`	Visual Prompting Upgrades Neural Network Sparsification: A Data-Model Perspective. AAAI Can Jin, Tianjin Huang, Yihua Zhang, Mykola Pechenizkiy, Sijia Liu, Shiwei Liu, Tianlong Chen
2025	J	`jnl`	Your Reward Function for RL is Your Best PRM for Search: Unifying RL and Search-Based TTS. CoRR Can Jin, Yang Zhou, Qixin Zhang, Hongwu Peng, Di Zhang, Marco Pavone, Ligong Han, Zhang-Wei Hong, Tong Che, Dimitris N. Metaxas
2024	J	`jnl`	APEER: Automatic Prompt Engineering Enhances Large Language Model Reranking. CoRR Can Jin, Hongwu Peng, Shiyu Zhao, Zhenting Wang, Wujiang Xu, Ligong Han, Jiahui Zhao, Kai Zhong, Sanguthevar Rajasekaran, Dimitris N. Metaxas
2024	J	`jnl`	Graph Canvas for Controllable 3D Scene Generation. CoRR Libin Liu, Shen Chen, Sen Jia, Jingzhe Shi, Zhongyu Jiang, Can Jin, Wu Zongkai, Jenq-Neng Hwang, Lei Li
2024	A*	`conf`	Learning from Teaching Regularization: Generalizable Correlations Should be Easy to Imitate. NeurIPS Can Jin, Tong Che, Hongwu Peng, Yiyuan Li, Dimitris N. Metaxas, Marco Pavone
2024	J	`jnl`	Learning from Teaching Regularization: Generalizable Correlations Should be Easy to Imitate. CoRR Can Jin, Tong Che, Hongwu Peng, Yiyuan Li, Marco Pavone
2024	J	`jnl`	Rodar: Robust Gesture Recognition Based on mmWave Radar Under Human Activity Interference. IEEE Trans. Mob. Comput. Can Jin, Xiangzhu Meng, Xuanheng Li, Jie Wang, Miao Pan, Yuguang Fang
2024	—	`conf`	Top-k Local Co-Location Pattern Mining Based on Weighted Voronoi Diagram. FSDM Can Jin, Lizhen Wang, Peizhong Yang, Xiaoxu Wang
2023	J	`jnl`	Virtual modeling of asphalt mixture beam using density and distributional controls of aggregate contact. Comput. Aided Civ. Infrastructure Eng. Can Jin, Shuliang Wang, Pengfei Liu, Xu Yang, Markus Oeser
2023	J	`jnl`	Visual Prompting Upgrades Neural Network Sparsification: A Data-Model Perspective. CoRR Can Jin, Tianjin Huang, Yihua Zhang, Mykola Pechenizkiy, Sijia Liu, Shiwei Liu, Tianlong Chen
2021	—	`conf`	An Optimization Method for Calibrating Wireline Conveyance Tension. CSDM Asia / CSDM Can Jin, Xin Peng, Qing Liu, Xinhan Ye, Lang Chen, Qiuyue Yuan, Xiang-Sun Zhang, Ling-Yun Wu, Yong Wang
2021	J	`jnl`	Morphological simplification of asphaltic mixture components for micromechanical simulation using finite element method. Comput. Aided Civ. Infrastructure Eng. Can Jin, Wuxing Zhang, Pengfei Liu, Xu Yang, Markus Oeser
2021	J	`jnl`	Stability prediction for asphalt mixture based on evolutional characterization of aggregate skeleton. Comput. Aided Civ. Infrastructure Eng. Can Jin, Xiaodong Wan, Pengfei Liu, Xu Yang, Markus Oeser
2021	J	`jnl`	Toward human intervention-free clinical diagnosis of intracranial aneurysm via deep neural network. Patterns Zihao Bo, Hui Qiao, Chong Tian, Yuchen Guo, Wuchao Li, Tiantian Liang, Dongxue Li, Dan Liao, Xianchun Zeng, Leilei Mei, Tianliang Shi, Bo Wu, Chao Huang, Lu Liu, Can Jin, Qiping Guo, Jun-Hai Yong, Feng Xu, Tijiang Zhang, Rongpin Wang, Qionghai Dai
2020	J	`jnl`	Adaptive Three-Dimensional Aggregate Shape Fitting and Mesh Optimization for Finite-Element Modeling. J. Comput. Civ. Eng. Can Jin, Shouguo Li, Xu Yang
2020	—	`conf`	Relevance Between Artificial Intelligence and Cognitive Science. ISAIMS Can Jin
2019	—	`conf`	An Image Enhancement Optimization Method Based on Differential Evolution Algorithm and Cuckoo Search Through Serial Coupled Mode. IDAACS Zhiwei Ye, Ye Cao, Aixin Zhang, Can Jin, Lie Ma, Xiang Hu, Jiwei Hu
2019	—	`conf`	An Image Thresholding Method Based on Differential Evolution Algorithm and Genetic Algorithm. IDAACS Zhiwei Ye, Aixin Zhang, Ye Cao, Lie Ma, Can Jin, Xiang Hu, Jiwei Hu
2019	—	`conf`	Image Segmentation Using Fuzzy C-means Optimized by Ant Lion Optimization. IDAACS Can Jin, Zhiwei Ye, Lingyu Yan, Ye Cao, Aixin Zhang, Lie Ma, Xiang Hu, Jiwei Hu
2019	—	`conf`	Improved Spatio-temporal Kringing and its Application to Regional Precipitation Prediction. IDAACS Yan Liu, Yanzhong Hu, Haibo Wang, Can Jin, Dawei Dong
2018	—	`conf`	A Network Intrusion Detection Method Based on Hybrid Rice Optimization Algorithm Improved Fuzzy C-Means. IDAACS-SWS Can Jin, Zhiwei Ye, Chunzhi Wang, Lingyu Yan, Ruoxi Wang
2016	J	`jnl`	Machine learning algorithms for mode-of-action classification in toxicity assessment. BioData Min. Yile Zhang, Yau Shu Wong, Jian Deng, Cristina Anton, Stephan Gabos, Weiping Zhang, Dorothy Yu Huang, Can Jin
2016	J	`jnl`	Microstructural Modeling Method for Asphalt Specimens Supporting 3D Adaptive and Automatic Mesh Generation. J. Comput. Civ. Eng. Can Jin, Zhanping You, Weihua Zhang, Kai Liu
2016	J	`jnl`	Predicting GHS toxicity using RTCA and discrete-time Fourier transform. J. Bioinform. Comput. Biol. Jiao Chen, Tianhong Pan, Tianqing Pu, Biao Huang, Dorothy Yu Huang, Weiping Zhang, Stephan Gabos, Can Jin
2014	J	`jnl`	Mode of action classification of chemicals using multi-concentration time-dependent cellular response profiles. Comput. Biol. Chem. Zhankun Xi, Swanand R. Khare, Aaron Cheung, Biao Huang, Tianhong Pan, Weiping Zhang, Fadi Ibrahim, Can Jin, Stephan Gabos
2013	J	`jnl`	In vitro cytotoxicity assessment based on KC Comput. Biol. Chem. Tianhong Pan, Swanand R. Khare, Fred Ackah, Biao Huang, Weiping Zhang, Stephan Gabos, Can Jin, Melinda Stampfl