Zhang, Wentao

48 publications

IJCAI 2025 AdaMixT: Adaptive Weighted Mixture of Multi-Scale Expert Transformers for Time Series Forecasting Huanyao Zhang, Jiaye Lin, Wentao Zhang, Haitao Yuan, Guoliang Li

ICCV 2025 Any2AnyTryon: Leveraging Adaptive Position Embeddings for Versatile Virtual Clothing Tasks Hailong Guo, Bohan Zeng, Yiren Song, Wentao Zhang, Jiaming Liu, Chuang Zhang

NeurIPS 2025 BRACE: A Benchmark for Robust Audio Caption Quality Evaluation Tianyu Guo, Hongyu Chen, Hao Liang, Meiyi Qiang, Bohan Zeng, Linzhuang Sun, Bin Cui, Wentao Zhang

CVPR 2025 Beyond Sight: Towards Cognitive Alignment in LVLM via Enriched Visual Knowledge Yaqi Zhao, Yuanyang Yin, Lin Li, Mingan Lin, Victor Shea-Jay Huang, Siwei Chen, Weipeng Chen, Baoqun Yin, Zenan Zhou, Wentao Zhang

ICML 2025 Cradle: Empowering Foundation Agents Towards General Computer Control Weihao Tan, Wentao Zhang, Xinrun Xu, Haochong Xia, Ziluo Ding, Boyu Li, Bohan Zhou, Junpeng Yue, Jiechuan Jiang, Yewen Li, Ruyi An, Molei Qin, Chuqiao Zong, Longtao Zheng, Yujie Wu, Xiaoqiang Chai, Yifei Bi, Tianbao Xie, Pengjie Gu, Xiyun Li, Ceyao Zhang, Long Tian, Chaojie Wang, Xinrun Wang, Börje F. Karlsson, Bo An, Shuicheng Yan, Zongqing Lu

ICLR 2025 Facilitating Multi-Turn Function Calling for LLMs via Compositional Instruction Tuning Mingyang Chen, Sunhaoze, Tianpeng Li, Fan Yang, Hao Liang, KeerLu, Bin Cui, Wentao Zhang, Zenan Zhou, Weipeng Chen

AAAI 2025 FedVCK: Non-IID Robust and Communication-Efficient Federated Learning via Valuable Condensed Knowledge for Medical Image Analysis Guochen Yan, Luyuan Xie, Xinyi Gao, Wentao Zhang, Qingni Shen, Yuejian Fang, Zhonghai Wu

ICLR 2025 GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning Minghao Xu, Yunteng Geng, Yihang Zhang, Ling Yang, Jian Tang, Wentao Zhang

NeurIPS 2025 Hallucination at a Glance: Controlled Visual Edits and Fine-Grained Multimodal Learning Tianyi Bai, Yuxuan Fan, Qiu Jiantao, Fupeng Sun, Jiayi Song, Junlin Han, Zichen Liu, Conghui He, Wentao Zhang, Binhang Yuan

NeurIPS 2025 HermesFlow: Seamlessly Closing the Gap in Multimodal Understanding and Generation Ling Yang, Xinchen Zhang, Ye Tian, Shiyi Zhang, Chenming Shang, Minghao Xu, Wentao Zhang, Bin Cui

ICLR 2025 IPDreamer: Appearance-Controllable 3D Object Generation with Complex Image Prompts Bohan Zeng, Shanglin Li, Yutang Feng, Ling Yang, Juan Zhang, Hong Li, Jiaming Liu, Conghui He, Wentao Zhang, Jianzhuang Liu, Baochang Zhang, Shuicheng Yan

NeurIPS 2025 MaintainCoder: Maintainable Code Generation Under Dynamic Requirements Zhengren Wang, Rui Ling, Chufan Wang, Yongan Yu, Sizhe Wang, Zhiyu Li, Feiyu Xiong, Wentao Zhang

ECML-PKDD 2025 Memory-Enhanced Invariant Prompt Learning for Urban Flow Prediction Under Distribution Shifts Haiyang Jiang, Tong Chen, Wentao Zhang, Quoc Viet Hung Nguyen, Yuan Yuan, Yong Li, Hongzhi Yin

ICML 2025 Modeling All-Atom Glycan Structures via Hierarchical Message Passing and Multi-Scale Pre-Training Minghao Xu, Jiaze Song, Keming Wu, Xiangxin Zhou, Bin Cui, Wentao Zhang

NeurIPS 2025 Multi-Step Visual Reasoning with Visual Tokens Scaling and Verification Tianyi Bai, Zengjie Hu, Fupeng Sun, Qiu Jiantao, Yizhen Jiang, Guangxin He, Bohan Zeng, Conghui He, Binhang Yuan, Wentao Zhang

ICCV 2025 OCR Hinders RAG: Evaluating the Cascading Impact of OCR on Retrieval-Augmented Generation Junyuan Zhang, Qintong Zhang, Bin Wang, Linke Ouyang, Zichen Wen, Ying Li, Ka-Ho Chow, Conghui He, Wentao Zhang

NeurIPS 2025 Perceive Anything: Recognize, Explain, Caption, and Segment Anything in Images and Videos Weifeng Lin, Xinyu Wei, Ruichuan An, Tianhe Ren, Tingwei Chen, Renrui Zhang, Ziyu Guo, Wentao Zhang, Lei Zhang, Hongsheng Li

ICML 2025 Sparse Causal Discovery with Generative Intervention for Unsupervised Graph Domain Adaptation Junyu Luo, Yuhao Tang, Yiwei Fu, Xiao Luo, Zhizhuo Kou, Zhiping Xiao, Wei Ju, Wentao Zhang, Ming Zhang

ICLR 2025 SysBench: Can LLMs Follow System Message? Yanzhao Qin, Tao Zhang, Tao Zhang, Yanjun Shen, Wenjing Luo, Sunhaoze, Yan Zhang, Yujing Qiao, Weipeng Chen, Zenan Zhou, Wentao Zhang, Bin Cui

AAAI 2025 Time Series Supplier Allocation via Deep Black-Litterman Model Xinke Jiang, Wentao Zhang, Yuchen Fang, Xiaowei Gao, Hao Chen, Haoyu Zhang, Dingyi Zhuang, Jiayuan Luo

CVPR 2025 Towards Precise Scaling Laws for Video Diffusion Transformers Yuanyang Yin, Yaqi Zhao, Mingwu Zheng, Ke Lin, Jiarong Ou, Rui Chen, Victor Shea-Jay Huang, Jiahao Wang, Xin Tao, Pengfei Wan, Di Zhang, Baoqun Yin, Wentao Zhang, Kun Gai

AAAI 2025 Towards Scalable and Deep Graph Neural Networks via Noise Masking Yuxuan Liang, Wentao Zhang, Zeang Sheng, Ling Yang, Quanqing Xu, Jiawei Jiang, Yunhai Tong, Bin Cui

NeurIPS 2025 UniCTokens: Boosting Personalized Understanding and Generation via Unified Concept Tokens Ruichuan An, Sihan Yang, Renrui Zhang, Zijun Shen, Ming Lu, Gaole Dai, Hao Liang, Ziyu Guo, Shilin Yan, Yulin Luo, Bocheng Zou, Chaoqun Yang, Wentao Zhang

ICLR 2025 Video In-Context Learning: Autoregressive Transformers Are Zero-Shot Video Imitators Wentao Zhang, Junliang Guo, Tianyu He, Li Zhao, Linli Xu, Jiang Bian

NeurIPS 2024 Buffer of Thoughts: Thought-Augmented Reasoning with Large Language Models Ling Yang, Zhaochen Yu, Tianjun Zhang, Shiyi Cao, Minkai Xu, Wentao Zhang, Joseph E. Gonzalez, Bin Cui

NeurIPSW 2024 Cradle: Empowering Foundation Agents Towards General Computer Control Weihao Tan, Wentao Zhang, Xinrun Xu, Haochong Xia, Gang Ding, Boyu Li, Bohan Zhou, Junpeng Yue, Jiechuan Jiang, Yewen Li, Ruyi An, Molei Qin, Chuqiao Zong, Longtao Zheng, YuJie Wu, Xiaoqiang Chai, Yifei Bi, Tianbao Xie, Pengjie Gu, Xiyun Li, Ceyao Zhang, Long Tian, Chaojie Wang, Xinrun Wang, Börje F. Karlsson, Bo An, Shuicheng Yan, Zongqing Lu

NeurIPS 2024 Distribution-Aware Data Expansion with Diffusion Models Haowei Zhu, Ling Yang, Jun-Hai Yong, Hongzhi Yin, Jiawei Jiang, Meng Xiao, Wentao Zhang, Bin Wang

AAAI 2024 EarnHFT: Efficient Hierarchical Reinforcement Learning for High Frequency Trading Molei Qin, Shuo Sun, Wentao Zhang, Haochong Xia, Xinrun Wang, Bo An

NeurIPS 2024 Efficient Multi-Task LLM Quantization and Serving for Multiple LoRA Adapters Yifei Xia, Fangcheng Fu, Wentao Zhang, Jiawei Jiang, Bin Cui

ICML 2024 Interaction-Based Retrieval-Augmented Diffusion Models for Protein-Specific 3D Molecule Generation Zhilin Huang, Ling Yang, Xiangxin Zhou, Chujun Qin, Yijie Yu, Xiawu Zheng, Zikun Zhou, Wentao Zhang, Yu Wang, Wenming Yang

MLOSS 2024 OpenBox: A Python Toolkit for Generalized Black-Box Optimization Huaijun Jiang, Yu Shen, Yang Li, Beicheng Xu, Sixian Du, Wentao Zhang, Ce Zhang, Bin Cui

ICLR 2024 Protein-Ligand Interaction Prior for Binding-Aware 3D Molecule Diffusion Models Zhilin Huang, Ling Yang, Xiangxin Zhou, Zhilong Zhang, Wentao Zhang, Xiawu Zheng, Jie Chen, Yu Wang, Bin Cui, Wenming Yang

NeurIPS 2024 RAGraph: A General Retrieval-Augmented Graph Learning Framework Xinke Jiang, Rihong Qiu, Yongxin Xu, Wentao Zhang, Yichen Zhu, Ruizhe Zhang, Yuchen Fang, Xu Chu, Junfeng Zhao, Yasha Wang

AAAI 2024 Towards Effective and General Graph Unlearning via Mutual Evolution Xunkai Li, Yulin Zhao, Zhengyu Wu, Wentao Zhang, Rong-Hua Li, Guoren Wang

ICLRW 2024 Towards General Computer Control: A Multimodal Agent for Red Dead Redemption II as a Case Study Weihao Tan, Ziluo Ding, Wentao Zhang, Boyu Li, Bohan Zhou, Junpeng Yue, Haochong Xia, Jiechuan Jiang, Longtao Zheng, Xinrun Xu, Yifei Bi, Pengjie Gu, Xinrun Wang, Börje F. Karlsson, Bo An, Zongqing Lu

ICLR 2024 True Knowledge Comes from Practice: Aligning Large Language Models with Embodied Environments via Reinforcement Learning Weihao Tan, Wentao Zhang, Shanqi Liu, Longtao Zheng, Xinrun Wang, Bo An

ICLR 2024 VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs Ling Yang, Ye Tian, Minkai Xu, Zhongyi Liu, Shenda Hong, Wei Qu, Wentao Zhang, Bin Cui, Muhan Zhang, Jure Leskovec

NeurIPS 2023 Improving Diffusion-Based Image Synthesis with Context Prediction Ling Yang, Jingwei Liu, Shenda Hong, Zhilong Zhang, Zhilin Huang, Zheming Cai, Wentao Zhang, Bin Cui

NeurIPSW 2023 Learning Multiplex Embeddings on Text-Rich Networks with One Text Encoder Bowen Jin, Wentao Zhang, Yu Zhang, Yu Meng, Han Zhao, Jiawei Han

AAAI 2023 ProxyBO: Accelerating Neural Architecture Search via Bayesian Optimization with Zero-Cost Proxies Yu Shen, Yang Li, Jian Zheng, Wentao Zhang, Peng Yao, Jixiang Li, Sen Yang, Ji Liu, Bin Cui

AAAI 2023 RLEKF: An Optimizer for Deep Potential with Ab Initio Accuracy Siyu Hu, Wentao Zhang, Qiuchen Sha, Feng Pan, Lin-Wang Wang, Weile Jia, Guangming Tan, Tong Zhao

NeurIPS 2023 TradeMaster: A Holistic Quantitative Trading Platform Empowered by Reinforcement Learning Shuo Sun, Molei Qin, Wentao Zhang, Haochong Xia, Chuqiao Zong, Jie Ying, Yonggang Xie, Lingxuan Zhao, Xinrun Wang, Bo An

ICML 2022 Deep and Flexible Graph Neural Architecture Search Wentao Zhang, Zheyu Lin, Yu Shen, Yang Li, Zhi Yang, Bin Cui

NeurIPS 2022 DivBO: Diversity-Aware CASH for Ensemble Learning Yu Shen, Yupeng Lu, Yang Li, Yaofeng Tu, Wentao Zhang, Bin Cui

ICLR 2022 Information Gain Propagation: A New Way to Graph Active Learning with Soft Labels Wentao Zhang, Yexin Wang, Zhenbang You, Meng Cao, Ping Huang, Jiulong Shan, Zhi Yang, Bin Cui

ICML 2022 NAFS: A Simple yet Tough-to-Beat Baseline for Graph Representation Learning Wentao Zhang, Zeang Sheng, Mingyu Yang, Yang Li, Yu Shen, Zhi Yang, Bin Cui

NeurIPS 2021 Node Dependent Local Smoothing for Scalable Graph Learning Wentao Zhang, Mingyu Yang, Zeang Sheng, Yang Li, Wen Ouyang, Yangyu Tao, Zhi Yang, Bin Cui

NeurIPS 2021 RIM: Reliable Influence-Based Active Learning on Graphs Wentao Zhang, Yexin Wang, Zhenbang You, Meng Cao, Ping Huang, Jiulong Shan, Zhi Yang, Bin Cui