Daixuan Cheng - RankMe

31 papers A* 7A 1Journal 19Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	BeyondSWE: Can Current Code Agent Survive Beyond Single-Repo Bug Fixing? CoRR Guoxin Chen, Fanzhe Meng, Jiale Zhao, Minghao Li, Daixuan Cheng, Huatong Song, Jie Chen, Yuzhi Lin, Hui Chen, Xin Zhao, Ruihua Song, Chang Liu, Cheng Chen, Kai Jia, Ji-Rong Wen
2026	J	`jnl`	Generative Pseudo-Labeling for Pre-Ranking with LLMs. CoRR Junyu Bi, Xinting Niu, Daixuan Cheng, Kun Yuan, Tao Wang, Binbin Cao, Jian Wu, Yuning Jiang
2026	J	`jnl`	HiSAC: Hierarchical Sparse Activation Compression for Ultra-long Sequence Modeling in Recommenders. CoRR Kun Yuan, Junyu Bi, Daixuan Cheng, Changfa Wu, Shuwen Xiao, Binbin Cao, Jian Wu, Yuning Jiang
2026	J	`jnl`	LLM-in-Sandbox Elicits General Agentic Intelligence. CoRR Daixuan Cheng, Shaohan Huang, Yuxian Gu, Huatong Song, Guoxin Chen, Li Dong, Wayne Xin Zhao, Ji-Rong Wen, Furu Wei
2026	A*	`conf`	Reasoning with Exploration: An Entropy Perspective. AAAI Daixuan Cheng, Shaohan Huang, Xuekai Zhu, Bo Dai, Xin Zhao, Zhenliang Zhang, Furu Wei
2026	J	`jnl`	SWE-Master: Unleashing the Potential of Software Engineering Agents via Post-Training. CoRR Huatong Song, Lisheng Huang, Shuang Sun, Jinhao Jiang, Ran Le, Daixuan Cheng, Guoxin Chen, Yiwen Hu, Zongchao Chen, Yiming Jia, Wayne Xin Zhao, Yang Song, Tao Zhang, Ji-Rong Wen
2025	J	`jnl`	An Empirical Study on Eliciting and Improving R1-like Reasoning Models. CoRR Zhipeng Chen, Yingqian Min, Beichen Zhang, Jie Chen, Jinhao Jiang, Daixuan Cheng, Wayne Xin Zhao, Zheng Liu, Xu Miao, Yang Lu, Lei Fang, Zhongyuan Wang, Ji-Rong Wen
2025	J	`jnl`	Federated Fine-Tuning on Heterogeneous LoRAs With Error-Compensated Aggregation. IEEE Trans. Neural Networks Learn. Syst. Wanyi Ning, Jingyu Wang, Qi Qi, Haifeng Sun, Daixuan Cheng, Cong Liu, Lei Zhang, Zirui Zhuang, Jianxin Liao
2025	J	`jnl`	FlowRL: Matching Reward Distributions for LLM Reasoning. CoRR Xuekai Zhu, Daixuan Cheng, Dinghuai Zhang, Hengli Li, Kaiyan Zhang, Che Jiang, Youbang Sun, Ermo Hua, Yuxin Zuo, Xingtai Lv, Qizheng Zhang, Lin Chen, Fanghao Shao, Bo Xue, Yunchong Song, Zhenjie Yang, Ganqu Cui, Ning Ding, Jianfeng Gao, Xiaodong Liu, Bowen Zhou, Hongyuan Mei, Zhouhan Lin
2025	J	`jnl`	From Trial-and-Error to Improvement: A Systematic Analysis of LLM Exploration Mechanisms in RLVR. CoRR Jia Deng, Jie Chen, Zhipeng Chen, Daixuan Cheng, Fei Bai, Beichen Zhang, Yinqian Min, Yanzipeng Gao, Wayne Xin Zhao, Ji-Rong Wen
2025	J	`jnl`	How Efficient Are Diffusion Language Models? A Critical Examination of Efficiency Evaluation Practices. CoRR Han Peng, Peiyu Liu, Zican Dong, Daixuan Cheng, Junyi Li, Yiru Tang, Shuo Wang, Wayne Xin Zhao
2025	A*	`conf`	How to Synthesize Text Data without Model Collapse? ICML Xuekai Zhu, Daixuan Cheng, Hengli Li, Kaiyan Zhang, Ermo Hua, Xingtai Lv, Ning Ding, Zhouhan Lin, Zilong Zheng, Bowen Zhou
2025	—	`conf`	On Domain-Adaptive Post-Training for Multimodal Large Language Models. EMNLP (Findings) Daixuan Cheng, Shaohan Huang, Ziyu Zhu, Xintong Zhang, Xin Zhao, Zhongzhi Luan, Bo Dai, Zhenliang Zhang
2025	J	`jnl`	Reasoning with Exploration: An Entropy Perspective. CoRR Daixuan Cheng, Shaohan Huang, Xuekai Zhu, Bo Dai, Wayne Xin Zhao, Zhenliang Zhang, Furu Wei
2024	A*	`conf`	Adapting Large Language Models via Reading Comprehension. ICLR Daixuan Cheng, Shaohan Huang, Furu Wei
2024	A*	`conf`	FM-Delta: Lossless Compression for Storing Massive Fine-tuned Foundation Models. NeurIPS Wanyi Ning, Jingyu Wang, Qi Qi, Mengde Zhu, Haifeng Sun, Daixuan Cheng, Jianxin Liao, Ce Zhang
2024	J	`jnl`	How to Synthesize Text Data without Model Collapse? CoRR Xuekai Zhu, Daixuan Cheng, Hengli Li, Kaiyan Zhang, Ermo Hua, Xingtai Lv, Ning Ding, Zhouhan Lin, Zilong Zheng, Bowen Zhou
2024	A*	`conf`	Instruction Pre-Training: Language Models are Supervised Multitask Learners. EMNLP Daixuan Cheng, Yuxian Gu, Shaohan Huang, Junyu Bi, Minlie Huang, Furu Wei
2024	J	`jnl`	Instruction Pre-Training: Language Models are Supervised Multitask Learners. CoRR Daixuan Cheng, Yuxian Gu, Shaohan Huang, Junyu Bi, Minlie Huang, Furu Wei
2024	—	`conf`	MDR: Model-Specific Demonstration Retrieval at Inference Time for In-Context Learning. NAACL-HLT Huazheng Wang, Jinming Wu, Haifeng Sun, Zixuan Xia, Daixuan Cheng, Jingyu Wang, Qi Qi, Jianxin Liao
2024	J	`jnl`	On Domain-Specific Post-Training for Multimodal Large Language Models. CoRR Daixuan Cheng, Shaohan Huang, Ziyu Zhu, Xintong Zhang, Wayne Xin Zhao, Zhongzhi Luan, Bo Dai, Zhenliang Zhang
2023	J	`jnl`	Adapting Large Language Models via Reading Comprehension. CoRR Daixuan Cheng, Shaohan Huang, Furu Wei
2023	A	`conf`	How Does Diffusion Influence Pretrained Language Models on Out-of-Distribution Data? ECAI Huazheng Wang, Daixuan Cheng, Haifeng Sun, Jingyu Wang, Qi Qi, Jianxin Liao, Jing Wang, Cong Liu
2023	J	`jnl`	How Does Diffusion Influence Pretrained Language Models on Out-of-Distribution Data? CoRR Huazheng Wang, Daixuan Cheng, Haifeng Sun, Jingyu Wang, Qi Qi, Jianxin Liao, Jing Wang, Cong Liu
2023	A*	`conf`	UPRISE: Universal Prompt Retrieval for Improving Zero-Shot Evaluation. EMNLP Daixuan Cheng, Shaohan Huang, Junyu Bi, Yuefeng Zhan, Jianfeng Liu, Yujing Wang, Hao Sun, Furu Wei, Weiwei Deng, Qi Zhang
2023	J	`jnl`	UPRISE: Universal Prompt Retrieval for Improving Zero-Shot Evaluation. CoRR Daixuan Cheng, Shaohan Huang, Junyu Bi, Yuefeng Zhan, Jianfeng Liu, Yujing Wang, Hao Sun, Furu Wei, Denvy Deng, Qi Zhang
2023	A*	`conf`	VL-Match: Enhancing Vision-Language Pretraining with Token-Level and Instance-Level Matching. ICCV Junyu Bi, Daixuan Cheng, Ping Yao, Bochen Pang, Yuefeng Zhan, Chuanguang Yang, Yujing Wang, Hao Sun, Weiwei Deng, Qi Zhang
2022	—	`conf`	Snapshot-Guided Domain Adaptation for ELECTRA. EMNLP (Findings) Daixuan Cheng, Shaohan Huang, Jianfeng Liu, Yuefeng Zhan, Hao Sun, Furu Wei, Denvy Deng, Qi Zhang
2021	—	`conf`	Parallel Decoders Guided Lexically Constrained Response Generation. IEEE BigData Daixuan Cheng, Haifeng Sun, Qi Qi, Jingyu Wang, Yan Qi
2021	J	`jnl`	Pattern and content controlled response generation. Inf. Process. Manag. Haifeng Sun, Daixuan Cheng, Jingyu Wang, Qi Qi, Jianxin Liao
2021	J	`jnl`	Spatial-aware stacked regression network for real-time 3D hand pose estimation. Neurocomputing Pengfei Ren, Haifeng Sun, Weiting Huang, Jiachang Hao, Daixuan Cheng, Qi Qi, Jingyu Wang, Jianxin Liao

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.