Chang Yue - RankMe

20 papers A* 6A 1B 1Journal 12

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Selection of LLM Fine-Tuning Data Based on Orthogonal Rules. AAAI Xiaomin Li, Mingye Gao, Zhiwei Zhang, Chang Yue, Hong Hu
2026	J	`jnl`	When Voice Meets Touch: Conflict Analysis in Mobile Applications. IEEE Trans. Software Eng. Suwan Li, Lei Bu, Shangqing Liu, Guangdong Bai, Fuman Xie, Kai Chen, Chang Yue
2025	J	`jnl`	Learning Interpretable Differentiable Logic Networks for Tabular Regression. CoRR Chang Yue, Niraj K. Jha
2025	J	`jnl`	Learning Interpretable Differentiable Logic Networks for Time-Series Classification. CoRR Chang Yue, Niraj K. Jha
2025	B	`conf`	SAP-DIFF: Semantic Adversarial Patch Generation for Black-Box Face Recognition Models via Diffusion Models. ICMR Mingsi Wang, Shuaiyin Yao, Chang Yue, Lijie Zhang, Guozhu Meng
2025	J	`jnl`	SAP-DIFF: Semantic Adversarial Patch Generation for Black-Box Face Recognition Models via Diffusion Models. CoRR Mingsi Wang, Shuaiyin Yao, Chang Yue, Lijie Zhang, Guozhu Meng
2025	A*	`conf`	What's Done Is Not What's Claimed: Detecting and Interpreting Inconsistencies in App Behaviors. NDSS Chang Yue, Kai Chen, Zhixiu Guo, Jun Dai, Xiaoyan Sun, Yi Yang
2024	J	`jnl`	CTRL: Clustering Training Losses for Label Error Detection. IEEE Trans. Artif. Intell. Chang Yue, Niraj K. Jha
2024	A*	`conf`	DARKFLEECE: Probing the Dark Side of Android Subscription Apps. USENIX Security Symposium Chang Yue, Chen Zhong, Kai Chen, Zhiyu Zhang, Yeonjoon Lee
2024	J	`jnl`	Learning Interpretable Differentiable Logic Networks. CoRR Chang Yue, Niraj K. Jha
2024	J	`jnl`	Learning Interpretable Differentiable Logic Networks. IEEE Trans. Circuits Syst. Artif. Intell. Chang Yue, Niraj K. Jha
2024	J	`jnl`	Model-Enhanced LLM-Driven VUI Testing of VPA Apps. CoRR Suwan Li, Lei Bu, Guangdong Bai, Fuman Xie, Kai Chen, Chang Yue
2024	J	`jnl`	Rule-based Data Selection for Large Language Models. CoRR Xiaomin Li, Mingye Gao, Zhiwei Zhang, Chang Yue, Hong Hu
2024	A*	`conf`	SSL-WM: A Black-Box Watermarking Approach for Encoders Pre-trained by Self-Supervised Learning. NDSS Peizhuo Lv, Pan Li, Shenchen Zhu, Shengzhi Zhang, Kai Chen, Ruigang Liang, Chang Yue, Fan Xiang, Yuling Cai, Hualong Ma, Yingjun Zhang, Guozhu Meng
2023	A*	`conf`	A Data-free Backdoor Injection Approach in Neural Networks. USENIX Security Symposium Peizhuo Lv, Chang Yue, Ruigang Liang, Yunfei Yang, Shengzhi Zhang, Hualong Ma, Kai Chen
2023	A	`conf`	Invisible Backdoor Attacks Using Data Poisoning in Frequency Domain. ECAI Chang Yue, Peizhuo Lv, Ruigang Liang, Kai Chen
2022	J	`jnl`	CTRL: Clustering Training Losses for Label Error Detection. CoRR Chang Yue, Niraj K. Jha
2022	J	`jnl`	Invisible Backdoor Attacks Using Data Poisoning in the Frequency Domain. CoRR Chang Yue, Peizhuo Lv, Ruigang Liang, Kai Chen
2022	J	`jnl`	SSL-WM: A Black-Box Watermarking Approach for Encoders Pre-trained by Self-supervised Learning. CoRR Peizhuo Lv, Pan Li, Shenchen Zhu, Shengzhi Zhang, Kai Chen, Ruigang Liang, Chang Yue, Fan Xiang, Yuling Cai, Hualong Ma, Yingjun Zhang, Guozhu Meng
2021	A*	`conf`	Bookworm Game: Automatic Discovery of LTE Vulnerabilities Through Documentation Analysis. SP Yi Chen, Yepeng Yao, Xiaofeng Wang, Dandan Xu, Chang Yue, Xiaozhong Liu, Kai Chen, Haixu Tang, Baoxu Liu