Efficiently Measuring the Cognitive Ability of LLMs: An Adaptive Testing Perspective. - Yan Zhuang; Qi Liu 003; Yuting Ning; Weizhe Huang; Rui Lv; Zhenya Huang; Guanhao Zhao; Zheng Zhang 048; Qingyang Mao; Shijin Wang 001; Enhong Chen (CoRR, 2023)

Mitigating Bias with Incomplete Sensitive Labels: A Confidence-Based Randomization Framework. - Zirui Hu; Zheng Zhang 048; Qi Liu 003; Haoyang Bi; Zhenya Huang; Qingyang Mao; Weibo Gao; Wenjun Feng (DASFAA (4), 2024)

Towards Accurate and Fair Cognitive Diagnosis via Monotonic Data Augmentation. - Zheng Zhang 048; Wei Song 010; Qi Liu 003; Qingyang Mao; Yiyan Wang; Weibo Gao; Zhenya Huang; Shijin Wang 001; Enhong Chen (NeurIPS, 2024)

Cross-reconstructed Augmentation for Dual-target Cross-domain Recommendation. - Qingyang Mao; Qi Liu 003; Zhi Li 057; Likang Wu; Bing Lv; Zheng Zhang 048 (SIGIR, 2024)

Enhancing Fairness in Meta-learned User Modeling via Adaptive Sampling. - Zheng Zhang 048; Qi Liu 003; Zirui Hu; Yi Zhan; Zhenya Huang; Weibo Gao; Qingyang Mao (WWW, 2024)

DisenTS: Disentangled Channel Evolving Pattern Modeling for Multivariate Time Series Forecasting. - Zhiding Liu; Jiqian Yang; Qingyang Mao; Yuze Zhao; Mingyue Cheng; Zhi Li 057; Qi Liu 003; Enhong Chen (CoRR, 2024)

TableTime: Reformulating Time Series Classification as Zero-Shot Table Understanding via Large Language Models. - Jiahao Wang; Mingyue Cheng; Qingyang Mao; Qi Liu 003; Feiyang Xu; Xin Li 064; Enhong Chen (CoRR, 2024)

PoTable: Programming Standardly on Table-based Reasoning Like a Human Analyst. - Qingyang Mao; Qi Liu 003; Zhi Li 057; Mingyue Cheng; Zheng Zhang 048; Rui Li 093 (CoRR, 2024)

Enhancing Table Recognition with Vision LLMs: A Benchmark and Neighbor-Guided Toolchain Reasoner. - Yitong Zhou; Mingyue Cheng; Qingyang Mao; Qi Liu 003; Feiyang Xu; Xin Li 064; Enhong Chen (CoRR, 2024)

Multi-Perspective Consolidation Enhanced Cognitive Diagnosis via Conditional Diffusion Model. - Guanhao Zhao; Zhenya Huang; Cheng Cheng; Yan Zhuang; Qingyang Mao; Xin Li 064; Shijin Wang 001; Enhong Chen (AAAI, 2025)

Promoting Machine Abilities of Discovering and Utilizing Knowledge in a Unified Zero-Shot Learning Paradigm. - Qingyang Mao; Zhi Li 057; Qi Liu 003; Likang Wu; Hefu Zhang; Enhong Chen (ACM Trans. Knowl. Discov. Data, 2025)

The Other Side of the Coin: Exploring Fairness in Retrieval-Augmented Generation. - Zheng Zhang 048; Ning Li; Qi Liu 003; Rui Li 093; Weibo Gao; Qingyang Mao; Zhenya Huang; Baosheng Yu; Dacheng Tao (CoRR, 2025)

Benchmarking Multimodal LLMs on Recognition and Understanding over Chemical Tables. - Yitong Zhou; Mingyue Cheng; Qingyang Mao; Yucong Luo; Qi Liu 003; Yupeng Li; Xiaohan Zhang; Deguang Liu; Xin Li 064; Enhong Chen (CoRR, 2025)

Visual Autoregressive Modeling for Instruction-Guided Image Editing. - Qingyang Mao; Qi Cai; Yehao Li; Yingwei Pan; Mingyue Cheng; Ting Yao; Qi Liu 003; Tao Mei 001 (CoRR, 2025)