Understanding Negative Sampling in Graph Representation Learning. - Zhen Yang 034; Ming Ding 004; Chang Zhou; Hongxia Yang; Jingren Zhou 001; Jie Tang 001 (KDD, 2020)

MixGCF: An Improved Training Method for Graph Neural Network-based Recommender Systems. - Tinglin Huang; Yuxiao Dong; Ming Ding 004; Zhen Yang 034; Wenzheng Feng; Xinyu Wang 001; Jie Tang 001 (KDD, 2021)

STAM: A Spatiotemporal Aggregation Method for Graph Neural Network-based Recommendation. - Zhen Yang 034; Ming Ding 004; Bin Xu 001; Hongxia Yang; Jie Tang 001 (WWW, 2022)

ViLTA: Enhancing Vision-Language Pre-training through Textual Augmentation. - Weihan Wang; Zhen Yang 034; Bin Xu 001; Juanzi Li; Yankui Sun (ICCV, 2023)

BatchSampler: Sampling Mini-Batches for Contrastive Learning in Vision, Language, and Graphs. - Zhen Yang 034; Tinglin Huang; Ming Ding 004; Yuxiao Dong; Rex Ying; Yukuo Cen; Yangliao Geng; Jie Tang 001 (KDD, 2023)

GPT Can Solve Mathematical Problems Without a Calculator. - Zhen Yang 034; Ming Ding 004; Qingsong Lv; Zhihuan Jiang; Zehai He; Yuyi Guo; Jinfeng Bai; Jie Tang 001 (CoRR, 2023)

Region or Global? A Principle for Negative Sampling in Graph-Based Recommendation. - Zhen Yang 034; Ming Ding 004; Xu Zou 001; Jie Tang 001; Bin Xu 001; Chang Zhou; Hongxia Yang (IEEE Trans. Knowl. Data Eng., 2023)

TriSampler: A Better Negative Sampling Principle for Dense Retrieval. - Zhen Yang 034; Zhou Shao; Yuxiao Dong; Jie Tang 001 (AAAI, 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)

MathGLM-Vision: Solving Mathematical Problems with Multi-Modal Large Language Model. - Zhen Yang 034; Jinhao Chen; Zhengxiao Du; Wenmeng Yu; Weihan Wang; Wenyi Hong; Zhihuan Jiang; Bin Xu 001; Yuxiao Dong; Jie Tang 001 (CoRR, 2024)

VisScience: An Extensive Benchmark for Evaluating K12 Educational Multi-modal Scientific Reasoning. - Zhihuan Jiang; Zhen Yang 034; Jinhao Chen; Zhengxiao Du; Weihan Wang; Bin Xu 001; Yuxiao Dong; Jie Tang 001 (CoRR, 2024)

Does Negative Sampling Matter? a Review With Insights Into its Theory and Applications. - Zhen Yang 034; Ming Ding 004; Tinglin Huang; Yukuo Cen; Junshuai Song; Bin Xu 001; Yuxiao Dong; Jie Tang 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Hard Negative Contrastive Learning for Fine-Grained Geometric Understanding in Large Multimodal Models. - Kai Sun; Yushi Bai; Zhen Yang 034; Jiajie Zhang; Ji Qi 003; Lei Hou 001; Juanzi Li (CoRR, 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)