Adaptive Spatial-Scale-Aware Deep Convolutional Neural Network for High-Resolution Remote Sensing Imagery Scene Classification. - Wei Han 006; Ruyi Feng; Lizhe Wang 001; Lang Gao (IGARSS, 2018)

Feature extraction and classification of VHR images with attribute profiles and convolutional neural networks. - Tian Tian; Lang Gao; Weijing Song; Kim-Kwang Raymond Choo; Jijun He (Multim. Tools Appl., 2018)

Convolutional Neural Network with Expert Knowledge for Hyperspectral Remote Sensing Imagery Classification. - Chunming Wu 002; Meng Wang; Lang Gao; Weijing Song; Tian Tian; Kim-Kwang Raymond Choo (KSII Trans. Internet Inf. Syst., 2019)

A Cross-Chain Solution to Integrating Multiple Blockchains for IoT Data Management. - Yiming Jiang 004; Chenxu Wang 001; Yawei Wang; Lang Gao (Sensors, 2019)

Sample generation based on a supervised Wasserstein Generative Adversarial Network for high-resolution remote-sensing scene classification. - Wei Han 006; Lizhe Wang 001; Ruyi Feng; Lang Gao; Xiaodao Chen; Ze Deng; Jia Chen; Peng Liu 024 (Inf. Sci., 2020)

Based on cross-scale fusion attention mechanism network for semantic segmentation for street scenes. - Xin Ye; Lang Gao; Jichen Chen; Mingyue Lei (Frontiers Neurorobotics, 2023)

VulDetectBench: Evaluating the Deep Capability of Vulnerability Detection with Large Language Models. - Yu Liu; Lang Gao; Mingxin Yang; Yu Xie; Ping Chen; Xiaojin Zhang 002; Wei Chen 088 (CoRR, 2024)

Shaping the Safety Boundaries: Understanding and Defending Against Jailbreaks in Large Language Models. - Lang Gao; Xiangliang Zhang 001; Preslav Nakov; Xiuying Chen (CoRR, 2024)

Word Form Matters: LLMs' Semantic Reconstruction under Typoglycemia. - Chenxi Wang 001; Tianle Gu; Zhongyu Wei; Lang Gao; Zirui Song; Xiuying Chen (ACL (Findings), 2025)

Shaping the Safety Boundaries: Understanding and Defending Against Jailbreaks in Large Language Models. - Lang Gao; Jiahui Geng; Xiangliang Zhang 001; Preslav Nakov; Xiuying Chen (ACL (1), 2025)

MedTrinity-25M: A Large-scale Multimodal Dataset with Multigranular Annotations for Medicine. - Yunfei Xie; Ce Zhou; Lang Gao; Juncheng Wu; Xianhang Li; Hong-Yu Zhou; Sheng Liu; Lei Xing 001; James Zou 001; Cihang Xie; Yuyin Zhou (ICLR, 2025)

Adversarial Cooperative Rationalization: The Risk of Spurious Correlations in Even Clean Datasets. - Wei Liu 144; Zhongyu Niu; Lang Gao; Zhiying Deng; Jun Wang 018; Haozhao Wang; Ruixuan Li 001 (CoRR, 2025)

Audio Jailbreak: An Open Comprehensive Benchmark for Jailbreaking Large Audio-Language Models. - Zirui Song; Qian Jiang; Mingxuan Cui; Mingzhe Li; Lang Gao; Zeyu Zhang; Zixiang Xu; Yanbo Wang; Chenxi Wang; Guangxian Ouyang; Zhenhao Chen; Xiuying Chen (CoRR, 2025)

Evaluate Bias without Manual Test Sets: A Concept Representation Perspective for LLMs. - Lang Gao; Kaiyang Wan; Wei Liu; Chenxi Wang; Zirui Song; Zixiang Xu; Yanbo Wang; Veselin Stoyanov; Xiuying Chen (CoRR, 2025)

SocialMaze: A Benchmark for Evaluating Social Reasoning in Large Language Models. - Zixiang Xu; Yanbo Wang 005; Yue Huang 001; Jiayi Ye; Haomin Zhuang; Zirui Song; Lang Gao; Chenxi Wang; Zhaorun Chen; Yujun Zhou 010; Sixian Li; Wang Pan; et al. (CoRR, 2025)

Under the Shadow of Babel: How Language Shapes Reasoning in LLMs. - Chenxi Wang; Yixuan Zhang; Lang Gao; Zixiang Xu; Zirui Song; Yanbo Wang 005; Xiuying Chen (CoRR, 2025)