Wang, Yiwei

31 publications

ICLR 2026 Are LLMs Really Not Knowledgeable? Mining the Submerged Knowledge in LLMs' Memory Xingjian Tao, Yiwei Wang, Yujun Cai, Zhicheng Yang, Jing Tang

ICLR 2026 ChainMPQ: Interleaved Text-Image Reasoning Chains for Mitigating Relation Hallucinations Yike Wu, Yiwei Wang, Yujun Cai

ICLR 2026 ContextNav: Towards Agentic Multimodal In-Context Learning Honghao Fu, Yuan Ouyang, Kai-Wei Chang, Yiwei Wang, Zi Huang, Yujun Cai

ICLR 2026 Fastcar: Cache Attentive Replay for Fast Auto-Regressive Video Generation on the Edge Xuan Shen, Weize Ma, Yufa Zhou, Enhao Tang, Yanyue Xie, Zhengang Li, Yifan Gong, Quanyi Wang, Henghui Ding, Yiwei Wang, Pu Zhao, Jun Lin, Jiuxiang Gu

ICLR 2026 Parameters vs. Context: Fine-Grained Control of Knowledge Reliance in Language Models Baolong Bi, Shenghua Liu, Yiwei Wang, Yilong Xu, Junfeng Fang, Lingrui Mei, Xueqi Cheng

ICLR 2026 Unveiling the Potential of Diffusion Large Language Model in Controllable Generation Zhen Xiong, Yujun Cai, Zhecheng Li, Yiwei Wang

ICLR 2026 Video-STAR: Reinforcing Open-Vocabulary Action Recognition with Tools Zhenlong Yuan, Xiangyan Qu, Chengxuan Qian, Rui Chen, Jing Tang, Lei Sun, Xiangxiang Chu, Dapeng Zhang, Yiwei Wang, Yujun Cai, Shuo Li

ICLR 2026 WavefrontDiffusion: Dynamic Decoding Schedule for Improved Reasoning Haojin Yang, Rui Hu, Zequn Sun, Rui Zhou, Yujun Cai, Yiwei Wang

ICLR 2025 Is Factuality Enhancement a Free Lunch for LLMs? Better Factuality Can Lead to Worse Context-Faithfulness Baolong Bi, Shenghua Liu, Yiwei Wang, Lingrui Mei, Junfeng Fang, Hongcheng Gao, Shiyu Ni, Xueqi Cheng

ICLR 2025 MQuAKE-Remastered: Multi-Hop Knowledge Editing Can Only Be Advanced with Reliable Evaluations Shaochen Zhong, Yifan Lu, Lize Shao, Bhargav Bhushanam, Xiaocong Du, Yixin Wan, Yucheng Shi, Daochen Zha, Yiwei Wang, Ninghao Liu, Kaixiong Zhou, Shuai Xu, Kai-Wei Chang, Louis Feng, Vipin Chaudhary, Xia Hu

ICLR 2025 OptiBench Meets ReSocratic: Measure and Improve LLMs for Optimization Modeling Zhicheng Yang, Yiwei Wang, Yinya Huang, Zhijiang Guo, Wei Shi, Xiongwei Han, Liang Feng, Linqi Song, Xiaodan Liang, Jing Tang

ICML 2025 Peripheral Memory for LLMs: Integration of Sequential Memory Banks with Adaptive Querying Songlin Zhai, Yuan Meng, Yongrui Chen, Yiwei Wang, Guilin Qi

TMLR 2025 UniTST: Effectively Modeling Inter-Series and Intra-Series Dependencies for Multivariate Time Series Forecasting Juncheng Liu, Chenghao Liu, Gerald Woo, Yiwei Wang, Bryan Hooi, Caiming Xiong, Doyen Sahoo

NeurIPS 2024 Fast Graph Sharpness-Aware Minimization for Enhancing and Accelerating Few-Shot Node Classification Yihong Luo, Yuhan Chen, Siya Qiu, Yiwei Wang, Chen Zhang, Yan Zhou, Xiaochun Cao, Jing Tang

ICLR 2024 Scalable and Effective Implicit Graph Neural Networks on Large Graphs Juncheng Liu, Bryan Hooi, Kenji Kawaguchi, Yiwei Wang, Chaosheng Dong, Xiaokui Xiao

NeurIPSW 2024 UniTST: Effectively Modeling Inter-Series and Intra-Series Dependencies for Multivariate Time Series Forecasting Juncheng Liu, Chenghao Liu, Gerald Woo, Yiwei Wang, Bryan Hooi, Caiming Xiong, Doyen Sahoo

AAAI 2023 AirFormer: Predicting Nationwide Air Quality in China with Transformers Yuxuan Liang, Yutong Xia, Songyu Ke, Yiwei Wang, Qingsong Wen, Junbo Zhang, Yu Zheng, Roger Zimmermann

NeurIPS 2023 LargeST: A Benchmark Dataset for Large-Scale Traffic Forecasting Xu Liu, Yutong Xia, Yuxuan Liang, Junfeng Hu, Yiwei Wang, Lei Bai, Chao Huang, Zhenguang Liu, Bryan Hooi, Roger Zimmermann

AAAI 2023 PARCS: A Deployment-Oriented AI System for Robust Parcel-Level Cropland Segmentation of Satellite Images Chen Du, Yiwei Wang, Zhicheng Yang, Hang Zhou, Mei Han, Jui-Hsin Lai

LoG 2022 Flashlight: Scalable Link Prediction with Effective Decoders Yiwei Wang, Bryan Hooi, Yozen Liu, Tong Zhao, Zhichun Guo, Neil Shah

ECML-PKDD 2022 LSCALE: Latent Space Clustering-Based Active Learning for Node Classification Juncheng Liu, Yiwei Wang, Bryan Hooi, Renchi Yang, Xiaokui Xiao

ICCV 2021 A Unified 3D Human Motion Synthesis Model via Conditional Variational Auto-Encoder Yujun Cai, Yiwei Wang, Yiheng Zhu, Tat-Jen Cham, Jianfei Cai, Junsong Yuan, Jun Liu, Chuanxia Zheng, Sijie Yan, Henghui Ding, Xiaohui Shen, Ding Liu, Nadia Magnenat Thalmann

NeurIPS 2021 Adaptive Data Augmentation on Temporal Graphs Yiwei Wang, Yujun Cai, Yuxuan Liang, Henghui Ding, Changhu Wang, Siddharth Bhatia, Bryan Hooi

NeurIPS 2021 EIGNN: Efficient Infinite-Depth Graph Neural Networks Juncheng Liu, Kenji Kawaguchi, Bryan Hooi, Yiwei Wang, Xiaokui Xiao

ECML-PKDD 2021 GraphAnoGAN: Detecting Anomalous Snapshots from Attributed Graphs Siddharth Bhatia, Yiwei Wang, Bryan Hooi, Tanmoy Chakraborty

CVPR 2021 Leveraging Large-Scale Weakly Labeled Data for Semi-Supervised Mass Detection in Mammograms Yuxing Tang, Zhenjie Cao, Yanbo Zhang, Zhicheng Yang, Zongcheng Ji, Yiwei Wang, Mei Han, Jie Ma, Jing Xiao, Peng Chang

IJCAI 2021 Modeling Trajectories with Neural Ordinary Differential Equations Yuxuan Liang, Kun Ouyang, Hanshu Yan, Yiwei Wang, Zekun Tong, Roger Zimmermann

ECCV 2020 Learning Progressive Joint Propagation for Human Motion Prediction Yujun Cai, Lin Huang, Yiwei Wang, Tat-Jen Cham, Jianfei Cai, Junsong Yuan, Jun Liu, Xu Yang, Yiheng Zhu, Xiaohui Shen, Ding Liu, Jing Liu, Nadia Magnenat Thalmann

ECML-PKDD 2020 Progressive Supervision for Node Classification Yiwei Wang, Wei Wang, Yuxuan Liang, Yujun Cai, Bryan Hooi

ECML-PKDD 2020 Revisiting Convolutional Neural Networks for Citywide Crowd Flow Analytics Yuxuan Liang, Kun Ouyang, Yiwei Wang, Ye Liu, Junbo Zhang, Yu Zheng, David S. Rosenblum

CVPRW 2017 Hand Movement Prediction Based Collision-Free Human-Robot Interaction Yiwei Wang, Xin Ye, Yezhou Yang, Wenlong Zhang