Cheng, Wei

57 publications

ICLR 2025 Chain-of-Region: Visual Language Models Need Details for Diagram Analysis Xue Li, Yiyou Sun, Wei Cheng, Yinglun Zhu, Haifeng Chen

NeurIPS 2025 DISC: Dynamic Decomposition Improves LLM Inference Scaling Jonathan Light, Wei Cheng, Benjamin Riviere, Yue Wu, Masafumi Oyamada, Mengdi Wang, Yisong Yue, Santiago Paternain, Haifeng Chen

ICLRW 2025 DISC: Dynamic Decomposition Improves LLM Inference Scaling Jonathan Light, Wei Cheng, Yue Wu, Masafumi Oyamada, Mengdi Wang, Santiago Paternain, Haifeng Chen

ICLR 2025 F-Fidelity: A Robust Framework for Faithfulness Evaluation of Explainable AI Xu Zheng, Farhad Shirani, Zhuomin Chen, Chaohao Lin, Wei Cheng, Wenbo Guo, Dongsheng Luo

NeurIPS 2025 FAVOR-Bench: A Comprehensive Benchmark for Fine-Grained Video Motion Understanding Chongjun Tu, Lin Zhang, Pengtao Chen, Peng Ye, Xianfang Zeng, Wei Cheng, Gang Yu, Tao Chen

IJCAI 2025 Harnessing Vision Models for Time Series Analysis: A Survey Jingchao Ni, Ziming Zhao, ChengAo Shen, Hanghang Tong, Dongjin Song, Wei Cheng, Dongsheng Luo, Haifeng Chen

NeurIPS 2025 Human Texts Are Outliers: Detecting LLM-Generated Texts via Out-of-Distribution Detection Cong Zeng, Shengkun Tang, Yuanzhou Chen, Zhiqiang Shen, Wenchao Yu, Xujiang Zhao, Haifeng Chen, Wei Cheng, Zhiqiang Xu

ICLR 2025 Humanizing the Machine: Proxy Attacks to Mislead LLM Detectors Tianchun Wang, Yuanzhou Chen, Zichuan Liu, Zhanwen Chen, Haifeng Chen, Xiang Zhang, Wei Cheng

CVPR 2025 MVPaint: Synchronized Multi-View Diffusion for Painting Anything 3D Wei Cheng, Juncheng Mu, Xianfang Zeng, Xin Chen, Anqi Pang, Chi Zhang, Zhibin Wang, Bin Fu, Gang Yu, Ziwei Liu, Liang Pan

NeurIPS 2025 Multi-Modal View Enhanced Large Vision Models for Long-Term Time Series Forecasting ChengAo Shen, Wenchao Yu, Ziming Zhao, Dongjin Song, Wei Cheng, Haifeng Chen, Jingchao Ni

NeurIPS 2025 OmniSVG: A Unified Scalable Vector Graphics Generation Model Yiying Yang, Wei Cheng, Sijin Chen, Xianfang Zeng, Fukun Yin, Jiaxu Zhang, Liao Wang, Gang Yu, Xingjun Ma, Yu-Gang Jiang

NeurIPS 2025 OneIG-Bench: Omni-Dimensional Nuanced Evaluation for Image Generation Jingjing Chang, Yixiao Fang, Peng Xing, Shuhan Wu, Wei Cheng, Rui Wang, Xianfang Zeng, Gang Yu, Hai-Bao Chen

ICLR 2025 SFS: Smarter Code Space Search Improves LLM Inference Scaling Jonathan Light, Yue Wu, Yiyou Sun, Wenchao Yu, Yanchi Liu, Xujiang Zhao, Ziniu Hu, Haifeng Chen, Wei Cheng

NeurIPS 2025 SolverLLM: Leveraging Test-Time Scaling for Optimization Problem via LLM-Guided Search Dong Li, Xujiang Zhao, Linlin Yu, Yanchi Liu, Wei Cheng, Zhengzhang Chen, Zhong Chen, Feng Chen, Chen Zhao, Haifeng Chen

ICLR 2025 Strategist: Self-Improvement of LLM Decision Making via Bi-Level Tree Search Jonathan Light, Min Cai, Weiqin Chen, Guanzhi Wang, Xiusi Chen, Wei Cheng, Yisong Yue, Ziniu Hu

AAAI 2025 TimeCAP: Learning to Contextualize, Augment, and Predict Time Series Events with Large Language Model Agents Geon Lee, Wenchao Yu, Kijung Shin, Wei Cheng, Haifeng Chen

NeurIPS 2025 TimeXL: Explainable Multi-Modal Time Series Prediction with LLM-in-the-Loop Yushan Jiang, Wenchao Yu, Geon Lee, Dongjin Song, Kijung Shin, Wei Cheng, Yanchi Liu, Haifeng Chen

CVPR 2025 Where's the Liability in the Generative Era? Recovery-Based Black-Box Detection of AI-Generated Content Haoyue Bai, Yiyou Sun, Wei Cheng, Haifeng Chen

NeurIPS 2024 DALD: Improving Logits-Based Detector Without Logits from Black-Box LLMs Cong Zeng, Shengkun Tang, Xianjun Yang, Yuanzhou Chen, Yiyou Sun, Zhiqiang Xu, Yao Li, Haifeng Chen, Wei Cheng, Dongkuan Xu

ICML 2024 DFA-RAG: Conversational Semantic Router for Large Language Model with Definite Finite Automaton Yiyou Sun, Junjie Hu, Wei Cheng, Haifeng Chen

ICLR 2024 DNA-GPT: Divergent N-Gram Analysis for Training-Free Detection of GPT-Generated Text Xianjun Yang, Wei Cheng, Yue Wu, Linda Ruth Petzold, William Yang Wang, Haifeng Chen

ICLRW 2024 Improving Open Information Extraction with Large Language Models: A Study on Demonstration Uncertainty Chen Ling, Xujiang Zhao, Xuchao Zhang, Yanchi Liu, Wei Cheng, Haoyu Wang, Zhengzhang Chen, Mika Oishi, Takao Osaki, Katsushi Matsuda, Liang Zhao, Haifeng Chen

NeurIPS 2024 MeshXL: Neural Coordinate Field for Generative 3D Foundation Models Sijin Chen, Xin Chen, Anqi Pang, Xianfang Zeng, Wei Cheng, Yijun Fu, Fukun Yin, Zhibin Wang, Jingyi Yu, Gang Yu, Bin Fu, Tao Chen

NeurIPSW 2024 PIANIST: Learning Partially Observable World Models with LLMs for Multi-Agent Decision Making Jonathan Light, Sixue Xing, Yuanzhe Liu, Weiqin Chen, Min Cai, Xiusi Chen, Guanzhi Wang, Wei Cheng, Yisong Yue, Ziniu Hu

ICLR 2024 Parametric Augmentation for Time Series Contrastive Learning Xu Zheng, Tianchun Wang, Wei Cheng, Aitian Ma, Haifeng Chen, Mo Sha, Dongsheng Luo

NeurIPS 2024 Protecting Your LLMs with Information Bottleneck Zichuan Liu, Zefan Wang, Linjie Xu, Jinyu Wang, Lei Song, Tianchun Wang, Chunlin Chen, Wei Cheng, Jiang Bian

ICMLW 2024 Strategist: Learning Strategic Skills by LLMs via Bi-Level Tree Search Jonathan Light, Min Cai, Weiqin Chen, Guanzhi Wang, Xiusi Chen, Wei Cheng, Yisong Yue, Ziniu Hu

ICLR 2024 Towards Robust Fidelity for Evaluating Explainability of Graph Neural Networks Xu Zheng, Farhad Shirani, Tianchun Wang, Wei Cheng, Zhuomin Chen, Haifeng Chen, Hua Wei, Dongsheng Luo

ICMLW 2024 TrustAgent: Towards Safe and Trustworthy LLM-Based Agents Through Agent Constitution Wenyue Hua, Xianjun Yang, Mingyu Jin, Zelong Li, Wei Cheng, Ruixiang Tang, Yongfeng Zhang

ICCV 2023 DNA-Rendering: A Diverse Neural Actor Repository for High-Fidelity Human-Centric Rendering Wei Cheng, Ruixiang Chen, Siming Fan, Wanqi Yin, Keyu Chen, Zhongang Cai, Jingbo Wang, Yang Gao, Zhengming Yu, Zhengyu Lin, Daxuan Ren, Lei Yang, Ziwei Liu, Chen Change Loy, Chen Qian, Wayne Wu, Dahua Lin, Bo Dai, Kwan-Yee Lin

NeurIPS 2023 Hierarchical Gaussian Mixture Based Task Generative Model for Robust Meta-Learning Yizhou Zhang, Jingchao Ni, Wei Cheng, Zhengzhang Chen, Liang Tong, Haifeng Chen, Yan Liu

CVPR 2023 MonoHuman: Animatable Human Neural Field from Monocular Video Zhengming Yu, Wei Cheng, Xian Liu, Wayne Wu, Kwan-Yee Lin

ICML 2023 Personalized Federated Learning Under Mixture of Distributions Yue Wu, Shuaicheng Zhang, Wenchao Yu, Yanchi Liu, Quanquan Gu, Dawei Zhou, Haifeng Chen, Wei Cheng

NeurIPS 2023 RenderMe-360: A Large Digital Asset Library and Benchmarks Towards High-Fidelity Head Avatars Dongwei Pan, Long Zhuo, Jingtan Piao, Huiwen Luo, Wei Cheng, Yuxin Wang, Siming Fan, Shengqi Liu, Lei Yang, Bo Dai, Ziwei Liu, Chen Change Loy, Chen Qian, Wayne Wu, Dahua Lin, Kwan-Yee Lin

AAAI 2023 Time Series Contrastive Learning with Information-Aware Augmentations Dongsheng Luo, Wei Cheng, Yingheng Wang, Dongkuan Xu, Jingchao Ni, Wenchao Yu, Xuchao Zhang, Yanchi Liu, Yuncong Chen, Haifeng Chen, Xiang Zhang

ICLRW 2022 Code Editing from Few Exemplars by Adaptive Multi-Extent Composition Peizhao Li, Xuchao Zhang, Ziyu Yao, Wei Cheng, Haifeng Chen, Hongfu Liu

ICLR 2022 Superclass-Conditional Gaussian Mixture Model for Learning Fine-Grained Embeddings Jingchao Ni, Wei Cheng, Zhengzhang Chen, Takayoshi Asakura, Tomoya Soma, Sho Kato, Haifeng Chen

AAAI 2022 Zero-Shot Cross-Lingual Machine Reading Comprehension via Inter-Sentence Dependency Graph Liyan Xu, Xuchao Zhang, Bo Zong, Yanchi Liu, Wei Cheng, Jingchao Ni, Haifeng Chen, Liang Zhao, Jinho D. Choi

AAAI 2021 Adaptive Prior-Dependent Correction Enhanced Reinforcement Learning for Natural Language Generation Wei Cheng, Ziyan Luo, Qiyue Yin

AAAI 2021 Dynamic Gaussian Mixture Based Deep Generative Model for Robust Forecasting on Sparse Multivariate Time Series Yinjun Wu, Jingchao Ni, Wei Cheng, Bo Zong, Dongjin Song, Zhengzhang Chen, Yanchi Liu, Xuchao Zhang, Haifeng Chen, Susan B. Davidson

CVPR 2021 FaceSec: A Fine-Grained Robustness Evaluation Framework for Face Recognition Systems Liang Tong, Zhengzhang Chen, Jingchao Ni, Wei Cheng, Dongjin Song, Haifeng Chen, Yevgeniy Vorobeychik

NeurIPS 2021 InfoGCL: Information-Aware Graph Contrastive Learning Dongkuan Xu, Wei Cheng, Dongsheng Luo, Haifeng Chen, Xiang Zhang

AAAI 2021 Multi-Task Recurrent Modular Networks Dongkuan Xu, Wei Cheng, Xin Dong, Bo Zong, Wenchao Yu, Jingchao Ni, Dongjin Song, Xuchao Zhang, Haifeng Chen, Xiang Zhang

AAAI 2021 Transformer-Style Relational Reasoning with Dynamic Memory Updating for Temporal Network Modeling Dongkuan Xu, Junjie Liang, Wei Cheng, Hua Wei, Haifeng Chen, Xiang Zhang

AAAI 2020 Asymmetrical Hierarchical Networks with Attentive Interactions for Interpretable Review-Based Recommendation Xin Dong, Jingchao Ni, Wei Cheng, Zhengzhang Chen, Bo Zong, Dongjin Song, Yanchi Liu, Haifeng Chen, Gerard de Melo

AAAI 2020 Deep Unsupervised Binary Coding Networks for Multivariate Time Series Retrieval Dixian Zhu, Dongjin Song, Yuncong Chen, Cristian Lumezanu, Wei Cheng, Bo Zong, Jingchao Ni, Takehiko Mizoguchi, Tianbao Yang, Haifeng Chen

ICLR 2020 Inductive and Unsupervised Representation Learning on Graph Structured Objects Lichen Wang, Bo Zong, Qianqian Ma, Wei Cheng, Jingchao Ni, Wenchao Yu, Yanchi Liu, Dongjin Song, Haifeng Chen, Yun Fu

ECML-PKDD 2020 Node Classification in Temporal Graphs Through Stochastic Sparsification and Temporal Structural Convolution Cheng Zheng, Bo Zong, Wei Cheng, Dongjin Song, Jingchao Ni, Wenchao Yu, Haifeng Chen, Wei Wang

NeurIPS 2020 Parameterized Explainer for Graph Neural Network Dongsheng Luo, Wei Cheng, Dongkuan Xu, Wenchao Yu, Bo Zong, Haifeng Chen, Xiang Zhang

ICML 2020 Robust Graph Representation Learning via Neural Sparsification Cheng Zheng, Bo Zong, Wei Cheng, Dongjin Song, Jingchao Ni, Wenchao Yu, Haifeng Chen, Wei Wang

AAAI 2020 Tensorized LSTM with Adaptive Shared Memory for Learning Trends in Multivariate Time Series Dongkuan Xu, Wei Cheng, Bo Zong, Dongjin Song, Jingchao Ni, Wenchao Yu, Yanchi Liu, Haifeng Chen, Xiang Zhang

AAAI 2019 A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data Chuxu Zhang, Dongjin Song, Yuncong Chen, Xinyang Feng, Cristian Lumezanu, Wei Cheng, Jingchao Ni, Bo Zong, Haifeng Chen, Nitesh V. Chawla

IJCAI 2019 Spatio-Temporal Attentive RNN for Node Classification in Temporal Attributed Graphs Dongkuan Xu, Wei Cheng, Dongsheng Luo, Xiao Liu, Xiang Zhang

IJCAI 2018 De-Biasing Covariance-Regularized Discriminant Analysis Haoyi Xiong, Wei Cheng, Yanjie Fu, Wenqing Hu, Jiang Bian, Zhishan Guo

ICLR 2018 Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection Bo Zong, Qi Song, Martin Renqiang Min, Wei Cheng, Cristian Lumezanu, Daeki Cho, Haifeng Chen

IJCAI 2017 A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction Yao Qin, Dongjin Song, Haifeng Chen, Wei Cheng, Guofei Jiang, Garrison W. Cottrell

IJCAI 2017 Link Prediction with Spatial and Temporal Consistency in Dynamic Networks Wenchao Yu, Wei Cheng, Charu C. Aggarwal, Haifeng Chen, Wei Wang