Pang, Wei

15 publications

ICLR 2026 GraphOmni: A Comprehensive and Extensible Benchmark Framework for Large Language Models on Graph-Theoretic Tasks Hao Xu, Xiangru Jian, Xinjian Zhao, Wei Pang, Chao Zhang, Suyuchen Wang, Qixin Zhang, Zhengyuan Dong, Joao Monteiro, Bang Liu, Qiuzhuang Sun, Tianshu Yu

ICLR 2026 The Choice of Divergence: A Neglected Key to Mitigating Diversity Collapse in Reinforcement Learning with Verifiable Reward Long Li, Zhijian Zhou, Jiaran Hao, Jason Klein Liu, Yanting Miao, Wei Pang, Xiaoyu Tan, Wei Chu, Zhe Wang, Shirui Pan, Chao Qu, Yuan Qi

NeurIPS 2025 Asymptotically Stable Quaternion-Valued Hopfield-Structured Neural Network with Periodic Projection-Based Supervised Learning Rules Tianwei Wang, Xinhui Ma, Wei Pang

AAAI 2025 Boosting Short Text Classification with Multi-Source Information Exploration and Dual-Level Contrastive Learning Yonghao Liu, Mengyu Li, Wei Pang, Fausto Giunchiglia, Lan Huang, Xiaoyue Feng, Renchu Guan

NeurIPS 2025 Graph Few-Shot Learning via Adaptive Spectrum Experts and Cross-Set Distribution Calibration Yonghao Liu, Yajun Wang, Chunli Guo, Wei Pang, Ximing Li, Fausto Giunchiglia, Xiaoyue Feng, Renchu Guan

NeurIPS 2025 Paper2Poster: Towards Multimodal Poster Automation from Scientific Papers Wei Pang, Kevin Qinghong Lin, Xiangru Jian, Xi He, Philip Torr

TMLR 2025 Rethinking Spectral Augmentation for Contrast-Based Graph Self-Supervised Learning Xiangru Jian, Xinjian Zhao, Wei Pang, Chaolong Ying, Yimu Wang, Yaoyao Xu, Tianshu Yu

TMLR 2025 Script: Graph-Structured and Query-Conditioned Semantic Token Pruning for Multimodal Large Language Models Zhongyu Yang, Dannong Xu, Wei Pang, Yingfang Yuan

TMLR 2025 Survey of Video Diffusion Models: Foundations, Implementations, and Applications Yimu Wang, Xuye Liu, Wei Pang, Li Ma, Shuai Yuan, Paul Debevec, Ning Yu

NeurIPS 2025 The Underappreciated Power of Vision Models for Graph Structural Understanding Xinjian Zhao, Wei Pang, Zhongkai Xue, Xiangru Jian, Lei Zhang, Yaoyao Xu, Xiaozhuang Song, Shu Wu, Tianshu Yu

NeurIPS 2024 ClavaDDPM: Multi-Relational Data Synthesis with Cluster-Guided Diffusion Models Wei Pang, Masoumeh Shafieinejad, Lucy Liu, Stephanie Hazlewood, Xi He

AAAI 2023 WaveForM: Graph Enhanced Wavelet Learning for Long Sequence Forecasting of Multivariate Time Series Fuhao Yang, Xin Li, Min Wang, Hongyu Zang, Wei Pang, Mingzhong Wang

ECCV 2020 Guessing State Tracking for Visual Dialogue Wei Pang, Xiaojie Wang

AAAI 2020 Visual Dialogue State Tracking for Question Generation Wei Pang, Xiaojie Wang

ECCVW 2014 Mode-Driven Volume Analysis Based on Correlation of Time Series Chengcheng Jia, Wei Pang, Yun Raymond Fu