DC Coefficients Recovery from AC Coefficients in the JPEG Compression Scenario. - Han Qiu 001; Qinkai Zheng; Meikang Qiu; Gérard Memmi (SmartCom, 2019)

Resisting Adversarial Examples via Wavelet Extension and Denoising. - Qinkai Zheng; Han Qiu 001; Tianwei Zhang 004; Gérard Memmi; Meikang Qiu; Jialiang Lu (SmartCom, 2020)

Investigating Image Applications Based on Spatial-Frequency Transform and Deep Learning Techniques. - Qinkai Zheng; Han Qiu 001; Gérard Memmi; Isabelle Bloch (CoRR, 2020)

Mitigating Advanced Adversarial Attacks with More Advanced Gradient Obfuscation Techniques. - Han Qiu 001; Yi Zeng 005; Qinkai Zheng; Tianwei Zhang 004; Meikang Qiu; Gérard Memmi (CoRR, 2020)

TDGIA: Effective Injection Attacks on Graph Neural Networks. - Xu Zou 001; Qinkai Zheng; Yuxiao Dong; Xinyu Guan; Evgeny Kharlamov; Jialiang Lu; Jie Tang 001 (KDD, 2021)

Graph Robustness Benchmark: Benchmarking the Adversarial Robustness of Graph Machine Learning. - Qinkai Zheng; Xu Zou 001; Yuxiao Dong; Yukuo Cen; Da Yin; Jiarong Xu; Yang Yang 009; Jie Tang 001 (NeurIPS Datasets and Benchmarks, 2021)

GIPA: General Information Propagation Algorithm for Graph Learning. - Qinkai Zheng; Houyi Li; Peng Zhang; Zhixiong Yang; Guowei Zhang; Xintan Zeng; Yongchao Liu (CoRR, 2021)

Toward Secure and Efficient Deep Learning Inference in Dependable IoT Systems. - Han Qiu 001; Qinkai Zheng; Tianwei Zhang 004; Meikang Qiu; Gérard Memmi; Jialiang Lu (IEEE Internet Things J., 2021)

Deep Residual Learning-Based Enhanced JPEG Compression in the Internet of Things. - Han Qiu 001; Qinkai Zheng; Gérard Memmi; Jialiang Lu; Meikang Qiu; Bhavani Thuraisingham (IEEE Trans. Ind. Informatics, 2021)

Topological Graph Convolutional Network-Based Urban Traffic Flow and Density Prediction. - Han Qiu 001; Qinkai Zheng; Mounira Msahli; Gérard Memmi; Meikang Qiu; Jialiang Lu (IEEE Trans. Intell. Transp. Syst., 2021)

On the distribution alignment of propagation in graph neural networks. - Qinkai Zheng; Xiao Xia; Kun Zhang; Evgeny Kharlamov; Yuxiao Dong (AI Open, 2022)

GIPA: A General Information Propagation Algorithm for Graph Learning. - Houyi Li; Zhihong Chen; Zhao Li 007; Qinkai Zheng; Peng Zhang 001; Shuigeng Zhou (DASFAA (4), 2023)

CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X. - Qinkai Zheng; Xiao Xia; Xu Zou 001; Yuxiao Dong; Shan Wang; Yufei Xue; Lei Shen 002; Zihan Wang; Andi Wang 003; Yang Li 074; Teng Su; Zhilin Yang 001; et al. (KDD, 2023)

CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Evaluations on HumanEval-X. - Qinkai Zheng; Xiao Xia; Xu Zou 001; Yuxiao Dong; Shan Wang; Yufei Xue; Zihan Wang; Lei Shen 002; Andi Wang 003; Yang Li 074; Teng Su; Zhilin Yang 001; et al. (CoRR, 2023)

NaturalCodeBench: Examining Coding Performance Mismatch on HumanEval and Natural User Queries. - Shudan Zhang; Hanlin Zhao; Xiao Liu 036; Qinkai Zheng; Zehan Qi; Xiaotao Gu; Yuxiao Dong; Jie Tang 001 (ACL (Findings), 2024)

OctoPack: Instruction Tuning Code Large Language Models. - Niklas Muennighoff; Qian Liu 012; Armel Randy Zebaze; Qinkai Zheng; Binyuan Hui; Terry Yue Zhuo; Swayam Singh; Xiangru Tang; Leandro von Werra; Shayne Longpre (ICLR, 2024)

ChatGLM-RLHF: Practices of Aligning Large Language Models with Human Feedback. - Zhenyu Hou; Yilin Niu; Zhengxiao Du; Xiaohan Zhang; Xiao Liu 036; Aohan Zeng; Qinkai Zheng; Minlie Huang; Hongning Wang; Jie Tang 001; Yuxiao Dong (CoRR, 2024)

NaturalCodeBench: Examining Coding Performance Mismatch on HumanEval and Natural User Prompts. - Shudan Zhang; Hanlin Zhao; Xiao Liu 036; Qinkai Zheng; Zehan Qi; Xiaotao Gu; Xiaohan Zhang; Yuxiao Dong; Jie Tang 001 (CoRR, 2024)

ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools. - Aohan Zeng; Bin Xu 001; Bowen Wang; Chenhui Zhang; Da Yin; Diego Rojas; Guanyu Feng; Hanlin Zhao; Hanyu Lai; Hao Yu; Hongning Wang; Jiadai Sun; et al. (CoRR, 2024)

VisualAgentBench: Towards Large Multimodal Models as Visual Foundation Agents. - Xiao Liu 036; Tianjie Zhang; Yu Gu 016; Iat Long Iong; Yifan Xu; Xixuan Song; Shudan Zhang; Hanyu Lai; Xinyi Liu; Hanlin Zhao; Jiadai Sun; Xinyue Yang; et al. (CoRR, 2024)

An Efficient Preprocessing-Based Approach to Mitigate Advanced Adversarial Attacks. - Han Qiu 001; Yi Zeng 005; Qinkai Zheng; Shangwei Guo; Tianwei Zhang 004; Hewu Li (IEEE Trans. Computers, 2024)

VisualAgentBench: Towards Large Multimodal Models as Visual Foundation Agents. - Xiao Liu 036; Tianjie Zhang; Yu Gu 016; Iat Long Iong; Xixuan Song; Yifan Xu; Shudan Zhang; Hanyu Lai; Jiadai Sun; Xinyue Yang; Yu Yang; Zehan Qi; et al. (ICLR, 2025)

GLM-4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement Learning. - Wenyi Hong; Wenmeng Yu; Xiaotao Gu; Guo Wang; Guobing Gan; Haomiao Tang; Jiale Cheng; Ji Qi 003; Junhui Ji; Lihang Pan; Shuaiqi Duan; Weihan Wang; et al. (CoRR, 2025)

GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation Models. - Aohan Zeng; Xin Lv; Qinkai Zheng; Zhenyu Hou; Bin Chen; Chengxing Xie; Cunxiang Wang; Da Yin; Hao Zeng; Jiajie Zhang; Kedong Wang; Lucen Zhong; et al. (CoRR, 2025)