Zhaolu Kang - RankMe

29 papers A* 4B 1Journal 23Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AdvSynGNN: Structure-Adaptive Graph Neural Nets via Adversarial Synthesis and Self-Corrective Propagation. CoRR Rong Fu, Muge Qi, Chunlei Meng, Shuo Yin, Kun Liu, Zhaolu Kang, Simon Fong
2026	A*	`conf`	Beyond N-grams: A Hierarchical Reward Learning Framework for Clinically-Aware Medical Report Generation. AAAI Yuan Wang, Shujian Gao, Jiaxiang Liu, Songtao Jiang, Haoxiang Xia, Xiaotian Zhang, Zhaolu Kang, Yemin Wang, Zuozhu Liu
2026	J	`jnl`	CityGuard: Graph-Aware Private Descriptors for Bias-Resilient Identity Search Across Urban Cameras. CoRR Rong Fu, Wenxin Zhang, Yibo Meng, Jia Yee Tan, Jiaxuan Lu, Rui Lu, Jiekai Wu, Zhaolu Kang, Simon Fong
2026	J	`jnl`	Conflict-Aware Client Selection for Multi-Server Federated Learning. CoRR Mingwei Hong, Zheng Lin, Zehang Lin, Lin Li, Miao Yang, Xia Du, Zihan Fang, Zhaolu Kang, Dianxin Luan, Shunzhi Zhu
2026	J	`jnl`	EDIS: Diagnosing LLM Reasoning via Entropy Dynamics. CoRR Chenghua Zhu, Siyan Wu, Xiangkang Zeng, Zishan Xu, Zhaolu Kang, Yifu Guo, Yuquan Lu, Junduan Huang, Guojing Zhou
2026	J	`jnl`	FOREVER: Forgetting Curve-Inspired Memory Replay for Language Model Continual Learning. CoRR Yujie Feng, Hao Wang, Jian Li, Xu Chu, Zhaolu Kang, Yiran Liu, Yasha Wang, Philip S. Yu, Xiao-Ming Wu
2026	J	`jnl`	GaiaFlow: Semantic-Guided Diffusion Tuning for Carbon-Frugal Search. CoRR Rong Fu, Wenxin Zhang, Jia Yee Tan, Chunlei Meng, Shuo Yin, Xiaowen Ma, Wangyu Wu, Muge Qi, Guangzhen Yao, Zhaolu Kang, Zeli Su, Simon Fong
2026	J	`jnl`	How Order-Sensitive Are LLMs? OrderProbe for Deterministic Structural Reconstruction. CoRR Yingjie He, Zhaolu Kang, Kehan Jiang, Qianyuan Zhang, Jiachen Qian, Chunlei Meng, Yujie Feng, Yuan Wang, Jiabao Dou, Aming Wu, Leqi Zheng, Pengxiang Zhao, Jiaxin Liu, Zeyu Zhang, Lei Wang, Guansu Wang, Qishi Zhan, Xiaomin He, Meisheng Zhang, Jianyuan Ni
2026	J	`jnl`	ModalImmune: Immunity Driven Unlearning via Self Destructive Training. CoRR Rong Fu, Jia Yee Tan, Wenxin Zhang, Zijian Zhang, Ziming Wang, Zhaolu Kang, Muge Qi, Shuning Zhang, Simon Fong
2026	J	`jnl`	Multimodal Multi-Agent Empowered Legal Judgment Prediction. CoRR Zhaolu Kang, Junhao Gong, Qingxi Chen, Hao Zhang, Jiaxin Liu, Rong Fu, Zhiyuan Feng, Yuan Wang, Simon Fong, Kaiyue Zhou
2026	J	`jnl`	QuantEval: A Benchmark for Financial Quantitative Tasks in Large Language Models. CoRR Zhaolu Kang, Junhao Gong, Wenqing Hu, Shuo Yin, Kehan Jiang, Zhicheng Fang, Yingjie He, Chunlei Meng, Rong Fu, Dongyang Chen, Leqi Zheng, Eric Hanchen Jiang, Yunfei Feng, Yitong Leng, Junfan Zhu, Xiaoyou Chen, Xi Yang, Richeng Xuan
2026	A*	`conf`	ReasonAct: Progressive Training for Fine-Grained Video Reasoning in Small Models. AAAI Jiaxin Liu, Zhaolu Kang
2026	J	`jnl`	TempoNet: Slack-Quantized Transformer-Guided Reinforcement Scheduler for Adaptive Deadline-Centric Real-Time Dispatchs. CoRR Rong Fu, Yibo Meng, Guangzhen Yao, Jiaxuan Lu, Zeyu Zhang, Zhaolu Kang, Ziming Guo, Jia Yee Tan, Xiaojing Du, Simon James Fong
2026	J	`jnl`	WebCryptoAgent: Agentic Crypto Trading with Web Informatics. CoRR Ali Kurban, Wei Luo, Liangyu Zuo, Zeyu Zhang, Renda Han, Zhaolu Kang, Hao Tang
2026	A*	`conf`	What Should I Cite? A RAG Benchmark for Academic Citation Prediction. WWW Leqi Zheng, Jiajun Zhang, Canzhi Chen, Chaokun Wang, Hongwei Li, Yuying Li, Yaoxin Mao, Shannan Yan, Zixin Song, Zhiyuan Feng, Zhaolu Kang, Zirong Chen, Hang Zhang, Qiang Liu, Liang Wang, Ziyang Liu
2026	J	`jnl`	What Should I Cite? A RAG Benchmark for Academic Citation Prediction. CoRR Leqi Zheng, Jiajun Zhang, Canzhi Chen, Chaokun Wang, Hongwei Li, Yuying Li, Yaoxin Mao, Shannan Yan, Zixin Song, Zhiyuan Feng, Zhaolu Kang, Zirong Chen, Hang Zhang, Qiang Liu, Liang Wang, Ziyang Liu
2026	J	`jnl`	When Helpers Become Hazards: A Benchmark for Analyzing Multimodal LLM-Powered Safety in Daily Life. CoRR Xinyue Lou, Jinan Xu, Jingyi Yin, Xiaolong Wang, Zhaolu Kang, Youwei Liao, Yixuan Wang, Xiangyu Shi, Fengran Mo, Su Yao, Kaiyu Huang
2026	J	`jnl`	zkCraft: Prompt-Guided LLM as a Zero-Shot Mutation Pattern Oracle for TCCT-Powered ZK Fuzzing. CoRR Rong Fu, Jia Yee Tan, Wenxin Zhang, Youjin Wang, Ziyu Kong, Zeli Su, Zhaolu Kang, Shuning Zhang, Xianda Li, Kun Liu, Simon Fong
2025	J	`jnl`	Beyond N-grams: A Hierarchical Reward Learning Framework for Clinically-Aware Medical Report Generation. CoRR Yuan Wang, Shujian Gao, Jiaxiang Liu, Songtao Jiang, Haoxiang Xia, Xiaotian Zhang, Zhaolu Kang, Yemin Wang, Zuozhu Liu
2025	J	`jnl`	HSSBench: Benchmarking Humanities and Social Sciences Ability for Multimodal Large Language Models. CoRR Zhaolu Kang, Junhao Gong, Jiaxu Yan, Wanke Xia, Yian Wang, Ziwen Wang, Huaxuan Ding, Zhuo Cheng, Wenhao Cao, Zhiyuan Feng, Siqi He, Shannan Yan, Junzhe Chen, Xiaomin He, Chaoya Jiang, Wei Ye, Kaidong Yu, Xuelong Li
2025	B	`conf`	JurisCTC: Enhancing Legal Judgment Prediction via Cross-Domain Transfer and Contrastive Learning. IJCNN Zhaolu Kang, Hongtian Cai, Xiangyang Ji, Jinzhe Li, Nanfei Gu
2025	J	`jnl`	JurisCTC: Enhancing Legal Judgment Prediction via Cross-Domain Transfer and Contrastive Learning. CoRR Zhaolu Kang, Hongtian Cai, Xiangyang Ji, Jinzhe Li, Nanfei Gu
2025	J	`jnl`	LaoBench: A Large-Scale Multidimensional Lao Benchmark for Large Language Models. CoRR Jian Gao, Richeng Xuan, Zhaolu Kang, Dingshi Liao, Wenxin Huang, Zongmou Huang, Yangdi Xu, Bowen Qin, Zheqi He, Xi Yang, Changjin Li
2025	A*	`conf`	MUCAR: Benchmarking Multilingual Cross-Modal Ambiguity Resolution for Multimodal Large Language Models. EMNLP Xiaolong Wang, Zhaolu Kang, Wangyuxuan Zhai, Xinyue Lou, Yunghwei Lai, Ziyue Wang, Yawen Wang, Kaiyu Huang, Yile Wang, Peng Li, Yang Liu
2025	J	`jnl`	MUCAR: Benchmarking Multilingual Cross-Modal Ambiguity Resolution for Multimodal Large Language Models. CoRR Xiaolong Wang, Zhaolu Kang, Wangyuxuan Zhai, Xinyue Lou, Yunghwei Lai, Ziyue Wang, Yawen Wang, Kaiyu Huang, Yile Wang, Peng Li, Yang Liu
2025	J	`jnl`	ReasonAct: Progressive Training for Fine-Grained Video Reasoning in Small Models. CoRR Jiaxin Liu, Zhaolu Kang
2025	J	`jnl`	Seeing Across Views: Benchmarking Spatial Reasoning of Vision-Language Models in Robotic Scenes. CoRR Zhiyuan Feng, Zhaolu Kang, Qijie Wang, Zhiying Du, Jiongrui Yan, Shubin Shi, Chengbo Yuan, Huizhi Liang, Yu Deng, Qixiu Li, Rushuai Yang, Arctanx An, Leqi Zheng, Weijie Wang, Shawn Chen, Sicheng Xu, Yaobo Liang, Jiaolong Yang, Baining Guo
2024	J	`jnl`	CODIS: Benchmarking Context-Dependent Visual Comprehension for Multimodal Large Language Models. CoRR Fuwen Luo, Chi Chen, Zihao Wan, Zhaolu Kang, Qidong Yan, Yingjie Li, Xiaolong Wang, Siyu Wang, Ziyue Wang, Xiaoyue Mi, Peng Li, Ning Ma, Maosong Sun, Yang Liu
2024	—	`conf`	CODIS: Benchmarking Context-dependent Visual Comprehension for Multimodal Large Language Models. ACL (1) Fuwen Luo, Chi Chen, Zihao Wan, Zhaolu Kang, Qidong Yan, Yingjie Li, Xiaolong Wang, Siyu Wang, Ziyue Wang, Xiaoyue Mi, Peng Li, Ning Ma, Maosong Sun, Yang Liu

Nicolò Altamura is a security engineer and computer science researcher specializing in software protection, reverse engineering, program analysis, and binary deobfuscation. He holds a master's degree in Computer Science and Engineering from the University of Verona, graduating with honors, and works at emproof, focusing on software protection and the challenges of analyzing and understanding compiled software.

His research explores the relationship between program analysis and code obfuscation, with particular emphasis on how software transformations affect the ability of automated tools to recover program behavior. His interests span static analysis, binary analysis, decompilation, reverse engineering, and techniques for analyzing and simplifying obfuscated code.

Beyond academic research, Nicolò develops and contributes to tools for reverse engineering and software analysis. His projects include obfuscation_analysis, a Binary Ninja plugin for analyzing and simplifying obfuscated code; Pocket, an obfuscator for mixed Boolean-arithmetic expressions; and ptxNinja, a tool for reverse engineering NVIDIA GPU code represented in the PTX virtual instruction set.

His research also extends to binary datasets and software evolution. In 2026, he co-authored ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage, a research work addressing the availability of binary data across multiple software builds and points in time, supporting research into binary analysis and changes between program versions.

Across his research, engineering work, and open-source contributions, Nicolò focuses on advancing the understanding, analysis, and protection of software against increasingly sophisticated obfuscation and reverse-engineering challenges.

Nicolò Altamura is not a football player. Please avoid reporting this kind of infromation.