Jin Lu - RankMe

48 papers A* 5A 1B 2Journal 30Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	LARV: Data-Free Layer-wise Adaptive Rescaling Veneer for Model Merging. CoRR Xinyu Wang, Ke Deng, Fei Dou, Jinbo Bi, Jin Lu
2026	J	`jnl`	Large language models for bioinformatics. Quant. Biol. Wei Ruan, Yanjun Lyu, Jing Zhang, Jiazhang Cai, Peng Shu, Yang Ge, Yao Lu, Shang Gao, Yue Wang, Peilong Wang, Lin Zhao, Tao Wang, Yufang Liu, Luyang Fang, Ziyu Liu, Zhengliang Liu, Yiwei Li, Zihao Wu, Junhao Chen, Hanqi Jiang, Yi Pan, Zhenyuan Yang, Jingyuan Chen, Shizhe Liang, Wei Zhang, Terry Ma, Yuan Dou, Jianli Zhang, Xinyu Gong, Qi Gan, Yusong Zou, Zebang Chen, Yuanxin Qian, Shuo Yu, Jin Lu, Kenan Song, Xianqiao Wang, Andrea Sikora, Gang Li, Xiang Li, Quanzheng Li, Yingfeng Wang, Lu Zhang, Yohannes Abate, Lifang He, Wenxuan Zhong, Rongjie Liu, Chao Huang, Wei Liu, Ye Shen, Ping Ma, Hongtu Zhu, Yajun Yan, Dajiang Zhu, Tianming Liu
2026	J	`jnl`	Roots Beneath the Cut: Uncovering the Risk of Concept Revival in Pruning-Based Unlearning for Diffusion Models. CoRR Ci Zhang, Zhaojun Ding, Chence Yang, Jun Liu, Xiaoming Zhai, Shaoyi Huang, Beiwen Li, Xiaolong Ma, Jin Lu, Geng Yuan
2025	J	`jnl`	ADLGen: Synthesizing Symbolic, Event-Triggered Sensor Sequences for Human Activity Modeling. CoRR Weihang You, Hanqi Jiang, Zishuai Liu, Zihang Xie, Tianming Liu, Jin Lu, Fei Dou
2025	J	`jnl`	Advancing physiological time series reconstruction and imputation via mixture of receptive fields and experts fusion. CoRR Ci Zhang, Huayu Li, Changdi Yang, Jiangnan Xia, Yanzhi Wang, Xiaolong Ma, Jin Lu, Ao Li, Geng Yuan
2025	J	`jnl`	CARE: Contrastive Alignment for ADL Recognition from Event-Triggered Sensor Streams. CoRR Junhao Zhao, Zishuai Liu, Ruili Fang, Jin Lu, Linghan Zhang, Fei Dou
2025	J	`jnl`	End-to-End On-Device Quantization-Aware Training for LLMs at Inference Cost. CoRR Qitao Tan, Xiaoying Song, Jin Lu, Guoming Li, Jun Liu, Lingzi Hong, Caiwen Ding, Jundong Li, Xiaoming Zhai, Shaoyi Huang, Wei Niu, Geng Yuan
2025	J	`jnl`	Enhancing Visual Inspection Capability of Multi-Modal Large Language Models on Medical Time Series with Supportive Conformalized and Interpretable Small Specialized Models. CoRR Huayu Li, Xiwen Chen, Ci Zhang, Stuart F. Quan, William D. S. Killgore, Shu-Fen Wung, Chen X. Chen, Geng Yuan, Jin Lu, Ao Li
2025	J	`jnl`	From Task-Specific Models to Unified Systems: A Review of Model Merging Approaches. CoRR Wei Ruan, Tianze Yang, Yifan Zhou, Tianming Liu, Jin Lu
2025	A*	`conf`	HELENE: Hessian Layer-wise Clipping and Gradient Annealing for Accelerating Fine-tuning LLM with Zeroth-order Optimization. EMNLP Huaqin Zhao, Jiaxi Li, Yi Pan, Shizhe Liang, Xiaofeng Yang, Fei Dou, Tianming Liu, Jin Lu
2025	J	`jnl`	Harmony in Divergence: Towards Fast, Accurate, and Memory-efficient Zeroth-order LLM Fine-tuning. CoRR Qitao Tan, Jun Liu, Zheng Zhan, Caiwei Ding, Yanzhi Wang, Jin Lu, Geng Yuan
2025	—	`conf`	LOCAL: Latent Orthonormal Contrastive Learning for Paired Image Classification. ICCVW Fei Dou, Jin Lu, Tan Zhu, Jinbo Bi
2025	J	`jnl`	Large Language Models for Bioinformatics. CoRR Wei Ruan, Yanjun Lyu, Jing Zhang, Jiazhang Cai, Peng Shu, Yang Ge, Yao Lu, Shang Gao, Yue Wang, Peilong Wang, Lin Zhao, Tao Wang, Yufang Liu, Luyang Fang, Ziyu Liu, Zhengliang Liu, Yiwei Li, Zihao Wu, Junhao Chen, Hanqi Jiang, Yi Pan, Zhenyuan Yang, Jingyuan Chen, Shizhe Liang, Wei Zhang, Terry Ma, Yuan Dou, Jianli Zhang, Xinyu Gong, Qi Gan, Yusong Zou, Zebang Chen, Yuanxin Qian, Shuo Yu, Jin Lu, Kenan Song, Xianqiao Wang, Andrea Sikora, Gang Li, Xiang Li, Quanzheng Li, Yingfeng Wang, Lu Zhang, Yohannes Abate, Lifang He, Wenxuan Zhong, Rongjie Liu, Chao Huang, Wei Liu, Ye Shen, Ping Ma, Hongtu Zhu, Yajun Yan, Dajiang Zhu, Tianming Liu
2025	J	`jnl`	MARAuder's Map: Motion-Aware Real-time Activity Recognition with Layout-Based Trajectories. CoRR Zishuai Liu, Weihang You, Jin Lu, Fei Dou
2025	J	`jnl`	MITS: Enhanced Tree Search Reasoning for LLMs via Pointwise Mutual Information. CoRR Jiaxi Li, Yucheng Shi, Jin Lu, Ninghao Liu
2025	A	`conf`	Perturbation-efficient Zeroth-order Optimization for Hardware-friendly On-device Training. ICCAD Qitao Tan, Sung-En Chang, Rui Xia, Huidong Ji, Chence Yang, Ci Zhang, Jun Liu, Zheng Zhan, Zhenman Fang, Zhuo Zou, Yanzhi Wang, Jin Lu, Geng Yuan
2025	J	`jnl`	Perturbation-efficient Zeroth-order Optimization for Hardware-friendly On-device Training. CoRR Qitao Tan, Sung-En Chang, Rui Xia, Huidong Ji, Chence Yang, Ci Zhang, Jun Liu, Zheng Zhan, Zhou Zou, Yanzhi Wang, Jin Lu, Geng Yuan
2025	J	`jnl`	Rethinking the Potential of Layer Freezing for Efficient DNN Training. CoRR Chence Yang, Ci Zhang, Le Lu, Qitao Tan, Sheng Li, Ao Li, Xulong Tang, Shaoyi Huang, Jinzhen Wang, Guoming Li, Jundong Li, Xiaoming Zhai, Jin Lu, Geng Yuan
2025	J	`jnl`	Smarter Together: Combining Large Language Models and Small Models for Physiological Signals Visual Inspection. J. Heal. Informatics Res. Huayu Li, Zhengxiao He, Xiwen Chen, Ci Zhang, Stuart F. Quan, William D. S. Killgore, Shu-Fen Wung, Chen X. Chen, Geng Yuan, Jin Lu, Ao Li
2025	—	`conf`	Towards Memory-Efficient and Sustainable Machine Unlearning on Edge using Zeroth-Order Optimizer. ACM Great Lakes Symposium on VLSI Ci Zhang, Chence Yang, Qitao Tan, Jun Liu, Ao Li, Yanzhi Wang, Jin Lu, Jinhui Wang, Geng Yuan
2024	J	`jnl`	A Systematic Assessment of OpenAI o1-Preview for Higher Order Thinking in Education. CoRR Ehsan Latif, Yifan Zhou, Shuchen Guo, Yizhu Gao, Lehong Shi, Matthew Nayaaba, Gyeong-Geon Lee, Liang Zhang, Arne Bewersdorff, Luyang Fang, Xiantong Yang, Huaqin Zhao, Hanqi Jiang, Haoran Lu, Jiaxi Li, Jichao Yu, Weihang You, Zhengliang Liu, Vincent Shung Liu, Hui Wang, Zihao Wu, Jin Lu, Fei Dou, Ping Ma, Ninghao Liu, Tianming Liu, Xiaoming Zhai
2024	J	`jnl`	Evaluation of OpenAI o1: Opportunities and Challenges of AGI. CoRR Tianyang Zhong, Zhengliang Liu, Yi Pan, Yutong Zhang, Yifan Zhou, Shizhe Liang, Zihao Wu, Yanjun Lyu, Peng Shu, Xiaowei Yu, Chao Cao, Hanqi Jiang, Hanxu Chen, Yiwei Li, Junhao Chen, Huawen Hu, Yihen Liu, Huaqin Zhao, Shaochen Xu, Haixing Dai, Lin Zhao, Ruidong Zhang, Wei Zhao, Zhenyuan Yang, Jingyuan Chen, Peilong Wang, Wei Ruan, Hui Wang, Huan Zhao, Jing Zhang, Yiming Ren, Shihuan Qin, Tong Chen, Jiaxi Li, Arif Hassan Zidan, Afrar Jahin, Minheng Chen, Sichen Xia, Jason Holmes, Yan Zhuang, Jiaqi Wang, Bochen Xu, Weiran Xia, Jichao Yu, Kaibo Tang, Yaxuan Yang, Bolun Sun, Tao Yang, Guoyu Lu, Xianqiao Wang, Lilong Chai, He Li, Jin Lu, Lichao Sun, Xin Zhang, Bao Ge, Xintao Hu, Lian Zhang, Hua Zhou, Lu Zhang, Shu Zhang, Ninghao Liu, Bei Jiang, Linglong Kong, Zhen Xiang, Yudan Ren, Jun Liu, Xi Jiang, Yu Bao, Wei Zhang, Xiang Li, Gang Li, Wei Liu, Dinggang Shen, Andrea Sikora, Xiaoming Zhai, Dajiang Zhu, Tianming Liu
2024	J	`jnl`	HELENE: Hessian Layer-wise Clipping and Gradient Annealing for Accelerating Fine-tuning LLM with Zeroth-order Optimization. CoRR Huaqin Zhao, Jiaxi Li, Yi Pan, Shizhe Liang, Xiaofeng Yang, Wei Liu, Xiang Li, Fei Dou, Tianming Liu, Jin Lu
2024	J	`jnl`	On-Device Indoor Positioning: A Federated Reinforcement Learning Approach With Heterogeneous Devices. IEEE Internet Things J. Fei Dou, Jin Lu, Tan Zhu, Jinbo Bi
2024	A*	`conf`	Proximal Federated Learning for Body Mass Index Monitoring using Commodity WiFi. MobiCom Jiaxi Li, Kiran Davuluri, Khairul Mottakin, Zheng Song, Fei Dou, Jin Lu
2024	J	`jnl`	Towards Next-Generation Medical Agent: How o1 is Reshaping Decision-Making in Medical Scenarios. CoRR Shaochen Xu, Yifan Zhou, Zhengliang Liu, Zihao Wu, Tianyang Zhong, Huaqin Zhao, Yiwei Li, Hanqi Jiang, Yi Pan, Junhao Chen, Jin Lu, Wei Zhang, Tuo Zhang, Lu Zhang, Dajiang Zhu, Xiang Li, Wei Liu, Quanzheng Li, Andrea Sikora, Xiaoming Zhai, Zhen Xiang, Tianming Liu
2024	J	`jnl`	Zero-shot image segmentation for monitoring thermal conditions of individual cage-free laying hens. Comput. Electron. Agric. Mahtab Saeidifar, Guoming Li, Lilong Chai, Ramesh Bist, Khaled M. Rasheed, Jin Lu, Ahmad Banakar, Tianming Liu, Xiao Yang
2023	—	`conf`	BMEye: Public Health-Oriented Body Mass Index Monitoring Using Commodity WiFi. WF-IoT Kiran Davuluri, Khairul Mottakin, Zheng Song, Jin Lu, Mark Allison
2023	A*	`conf`	Mobilizing Personalized Federated Learning in Infrastructure-Less and Heterogeneous Environments via Random Walk Stochastic ADMM. NeurIPS Ziba Parsons, Fei Dou, Houyi Du, Zheng Song, Jin Lu
2023	J	`jnl`	Mobilizing Personalized Federated Learning via Random Walk Stochastic ADMM. CoRR Ziba Parsons, Fei Dou, Houyi Du, Jin Lu
2023	A*	`conf`	Polyhedron Attention Module: Learning Adaptive-order Interactions. NeurIPS Tan Zhu, Fei Dou, Xinyu Wang, Jin Lu, Jinbo Bi
2023	J	`jnl`	Towards Artificial General Intelligence (AGI) in the Internet of Things (IoT): Opportunities and Challenges. CoRR Fei Dou, Jin Ye, Geng Yuan, Qin Lu, Wei Niu, Haijian Sun, Le Guan, Guoyu Lu, Gengchen Mai, Ninghao Liu, Jin Lu, Zhengliang Liu, Zihao Wu, Chenjiao Tan, Shaochen Xu, Xianqiao Wang, Guoming Li, Lilong Chai, Sheng Li, Jin Sun, Hongyue Sun, Yunli Shao, Changying Li, Tianming Liu, Wenzhan Song
2021	J	`jnl`	A Bisection Reinforcement Learning Approach to 3-D Indoor Localization. IEEE Internet Things J. Fei Dou, Jin Lu, Tingyang Xu, Chun-Hsi Huang, Jinbo Bi
2021	J	`jnl`	Fusing Location Data for Depression Prediction. IEEE Trans. Big Data Chaoqun Yue, Shweta Ware, Reynaldo Morillo, Jin Lu, Chao Shang, Jinbo Bi, Jayesh Kamath, Alexander Russell, Athanasios Bamis, Bing Wang
2019	J	`jnl`	Multi-view cluster analysis with incomplete data to understand treatment effects. Inf. Sci. Guoqing Chao, Jiangwen Sun, Jin Lu, An-Li Wang, Daniel D. Langleben, Chiang-shan Ray Li, Jinbo Bi
2018	J	`jnl`	Joint Modeling of Heterogeneous Sensing Data for Depression Assessment via Multi-task Learning. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. Jin Lu, Chao Shang, Chaoqun Yue, Reynaldo Morillo, Shweta Ware, Jayesh Kamath, Athanasios Bamis, Alexander Russell, Bing Wang, Jinbo Bi
2018	J	`jnl`	Large-scale Automatic Depression Screening Using Meta-data from WiFi Infrastructure. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. Shweta Ware, Chaoqun Yue, Reynaldo Morillo, Jin Lu, Chao Shang, Jayesh Kamath, Athanasios Bamis, Jinbo Bi, Alexander Russell, Bing Wang
2018	B	`conf`	Top-Down Indoor Localization with Wi-Fi Fingerprints Using Deep Q-Network. MASS Fei Dou, Jin Lu, Zigeng Wang, Xia Xiao, Jinbo Bi, Chun-Hsi Huang
2017	—	`conf`	Bi-subspace saliency detection. CCWC Jin Lu, Fei Dou
2017	—	`conf`	Collaborative phenotype inference from comorbid substance use disorders and genotypes. BIBM Jin Lu, Jiangwen Sun, Xinyu Wang, Henry R. Kranzler, Joel Gelernter, Jinbo Bi
2017	—	`conf`	Fusing location data for depression prediction. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI Chaoqun Yue, Shweta Ware, Reynaldo Morillo, Jin Lu, Chao Shang, Jinbo Bi, Jayesh Kamath, Alexander Russell, Athanasios Bamis, Bing Wang
2017	J	`jnl`	VIGAN: Missing View Imputation with Generative Adversarial Networks. CoRR Chao Shang, Aaron Palmer, Jiangwen Sun, Ko-Shin Chen, Jin Lu, Jinbo Bi
2017	—	`conf`	VIGAN: Missing view imputation with generative adversarial networks. IEEE BigData Chao Shang, Aaron Palmer, Jiangwen Sun, Ko-Shin Chen, Jin Lu, Jinbo Bi
2016	—	`conf`	A Sparse Interactive Model for Matrix Completion with Side Information. NIPS Jin Lu, Guannan Liang, Jiangwen Sun, Jinbo Bi
2016	—	`conf`	Behavior vs. introspection: refining prediction of clinical depression via smartphone sensing data. Wireless Health Asma Ahmad Farhan, Chaoqun Yue, Reynaldo Morillo, Shweta Ware, Jin Lu, Jinbo Bi, Jayesh Kamath, Alexander Russell, Athanasios Bamis, Bing Wang
2016	B	`conf`	Multi-view Bi-clustering to Identify Smartphone Sensing Features Indicative of Depression. CHASE Asma Ahmad Farhan, Jin Lu, Jinbo Bi, Alexander Russell, Bing Wang, Athanasios Bamis
2015	A*	`conf`	Multi-view Sparse Co-clustering via Proximal Alternating Linearized Minimization. ICML Jiangwen Sun, Jin Lu, Tingyang Xu, Jinbo Bi
2014	—	`conf`	A sparse integrative cluster analysis for understanding soybean phenotypes. BIBM Jinbo Bi, Jiangwen Sun, Tingyang Xu, Jin Lu, Yansong Ma, Lijuan Qiu