Wang, Ye

62 publications

ICLR 2025 Diff-Prompt: Diffusion-Driven Prompt Generator with Mask Supervision Weicai Yan, Wang Lin, Zirun Guo, Ye Wang, Fangming Feng, Xiaoda Yang, Zehan Wang, Tao Jin

ICML 2025 Flow Matching for Denoised Social Recommendation Yinxuan Huang, Ke Liang, Zhuofan Dong, Xiaodong Qu, Wang Tianxiang, Yue Han, Jingao Xu, Bin Zhou, Ye Wang

AAAI 2025 Forget to Flourish: Leveraging Machine-Unlearning on Pretrained Language Models for Privacy Leakage Md. Rafi Ur Rashid, Jing Liu, Toshiaki Koike-Akino, Ye Wang, Shagufta Mehnaz

NeurIPS 2025 FreeControl: Efficient, Training-Free Structural Control via One-Step Attention Extraction Jiang Lin, Xinyu Chen, Song Wu, Zhiqiu Zhang, Jizhi Zhang, Ye Wang, Qiang Tang, Qian Wang, Jian Yang, Zili Yi

NeurIPS 2025 Iterative Foundation Model Fine-Tuning on Multiple Rewards Pouya M. Ghari, Simone Sciabola, Ye Wang

AAAI 2025 LLM-DR: A Novel LLM-Aided Diffusion Model for Rule Generation on Temporal Knowledge Graphs Kai Chen, Xin Song, Ye Wang, Liqun Gao, Aiping Li, Xiaojuan Zhao, Bin Zhou, Yalong Xie

IJCAI 2025 LivePoem: Improving the Learning Experience of Classical Chinese Poetry with AI-Generated Musical Storyboards Qihao Liang, Xichu Ma, Torin Hopkins, Ye Wang

ICCV 2025 MotionCtrl: A Real-Time Controllable Vision-Language-Motion Model Bin Cao, Sipeng Zheng, Ye Wang, Lujie Xia, Qianshan Wei, Qin Jin, Jing Liu, Zongqing Lu

CVPR 2025 OmniStyle: Filtering High Quality Style Transfer Data at Scale Ye Wang, Ruiqi Liu, Jiang Lin, Fei Liu, Zili Yi, Yilin Wang, Rui Ma

ICLR 2025 On Calibration of LLM-Based Guard Models for Reliable Content Moderation Hongfu Liu, Hengguan Huang, Xiangming Gu, Hao Wang, Ye Wang

TMLR 2025 On Memorization in Diffusion Models Xiangming Gu, Chao Du, Tianyu Pang, Chongxuan Li, Min Lin, Ye Wang

ICML 2025 Scaling Large Motion Models with Million-Level Human Motions Ye Wang, Sipeng Zheng, Bin Cao, Qianshan Wei, Weishuai Zeng, Qin Jin, Zongqing Lu

AAAI 2025 SigStyle: Signature Style Transfer via Personalized Text-to-Image Models Ye Wang, Tongyuan Bai, Xuping Xie, Zili Yi, Yilin Wang, Rui Ma

NeurIPS 2025 Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding Ye Wang, Ziheng Wang, Boshen Xu, Yang Du, Kejun Lin, Zihan Xiao, Zihao Yue, Jianzhong Ju, Liang Zhang, Dingyi Yang, Xiangnan Fang, Zewen He, Zhenbo Luo, Wenxuan Wang, Junqi Lin, Jian Luan, Qin Jin

NeurIPS 2025 Unifying Symbolic Music Arrangement: Track-Aware Reconstruction and Structured Tokenization Longshen Ou, Jingwei Zhao, Ziyu Wang, Gus Xia, Qihao Liang, Torin Hopkins, Ye Wang

ICLR 2025 When Attention Sink Emerges in Language Models: An Empirical View Xiangming Gu, Tianyu Pang, Chao Du, Qian Liu, Fengzhuo Zhang, Cunxiao Du, Ye Wang, Min Lin

AAAI 2024 A Positive-Unlabeled Metric Learning Framework for Document-Level Relation Extraction with Incomplete Labeling Ye Wang, Huazheng Pan, Tao Zhang, Wen Wu, Wenxin Hu

ICLRW 2024 AceGen: A TorchRL-Based Toolkit for Reinforcement Learning in Generative Chemistry Albert Bou, Morgan Thomas, Sebastian Dittert, Carles Navarro Ramírez, Maciej Majewski, Ye Wang, Shivam Patel, Gary Tresadern, Mazen Ahmad, Vincent Moens, Woody Sherman, Simone Sciabola, Gianni De Fabritiis

NeurIPSW 2024 Advancing Adversarial Suffix Transfer Learning on Aligned Large Language Models Hongfu Liu, Yuxi Xie, Ye Wang, Michael Shieh

ICML 2024 Agent Smith: A Single Image Can Jailbreak One Million Multimodal LLM Agents Exponentially Fast Xiangming Gu, Xiaosen Zheng, Tianyu Pang, Chao Du, Qian Liu, Ye Wang, Jing Jiang, Min Lin

ICLRW 2024 Agent Smith: A Single Image Can Jailbreak One Million Multimodal LLM Agents Exponentially Fast Xiangming Gu, Xiaosen Zheng, Tianyu Pang, Chao Du, Qian Liu, Ye Wang, Jing Jiang, Min Lin

CVPRW 2024 CoLa-SDF: Controllable Latent StyleSDF for Disentangled 3D Face Generation Rahul Dey, Bernhard Egger, Vishnu Naresh Boddeti, Ye Wang, Tim K. Marks

JMLR 2024 Efficient Active Manifold Identification via Accelerated Iteratively Reweighted Nuclear Norm Minimization Hao Wang, Ye Wang, Xiangyu Yang

ICMLW 2024 Efficient Differentially Private Fine-Tuning of Diffusion Models Jing Liu, Andrew Lowy, Toshiaki Koike-Akino, Kieran Parsons, Ye Wang

IJCAI 2024 End-to-End Real-World Polyphonic Piano Audio-to-Score Transcription with Hierarchical Decoding Wei Zeng, Xian He, Ye Wang

NeurIPSW 2024 Forget to Flourish: Leveraging Machine-Unlearning on Pretrained Language Models for Privacy Leakage Md Rafi Ur Rashid, Jing Liu, Toshiaki Koike-Akino, Shagufta Mehnaz, Ye Wang

NeurIPSW 2024 GPT Sonograpy: Hand Gesture Decoding from Forearm Ultrasound Images via VLM Keshav Bimbraw, Ye Wang, Jing Liu, Toshiaki Koike-Akino

IJCAI 2024 Joint Domain Adaptive Graph Convolutional Network Niya Yang, Ye Wang, Zhizhi Yu, Dongxiao He, Xin Huang, Di Jin

AAAI 2024 MedBench: A Large-Scale Chinese Benchmark for Evaluating Medical Large Language Models Yan Cai, Linlin Wang, Ye Wang, Gerard de Melo, Ya Zhang, Yanfeng Wang, Liang He

NeurIPSW 2024 On Calibration of LLM-Based Guard Models for Reliable Content Moderation Hongfu Liu, Hengguan Huang, Hao Wang, Xiangming Gu, Ye Wang

NeurIPSW 2024 Probabilistic Forecasting for Building Energy Systems: Are Time-Series Foundation Models the Answer? Young-Jin Park, François Germain, Jing Liu, Ye Wang, Gordon Wichern, Toshiaki Koike-Akino, Navid Azizan, Christopher R. Laughman, Ankush Chakrabarty

NeurIPSW 2024 Slaying the HyDRA: Parameter-Efficient Hyper Networks with Low-Displacement Rank Adaptation Xiangyu Chen, Ye Wang, Matthew Brand, Pu Perry Wang, Jing Liu, Toshiaki Koike-Akino

NeurIPSW 2024 Smoothed Embeddings for Robust Language Models Ryo Hase, Md Rafi Ur Rashid, Ashley Lewis, Jing Liu, Toshiaki Koike-Akino, Kieran Parsons, Ye Wang

NeurIPS 2024 Structured Multi-Track Accompaniment Arrangement via Style Prior Modelling Jingwei Zhao, Gus Xia, Ziyu Wang, Ye Wang

CVPRW 2024 SuperLoRA: Parameter-Efficient Unified Adaptation for Large Vision Models Xiangyu Chen, Jing Liu, Ye Wang, Pu Perry Wang, Matthew Brand, Guanghui Wang, Toshiaki Koike-Akino

CVPR 2024 TI2V-Zero: Zero-Shot Image Conditioning for Text-to-Video Diffusion Models Haomiao Ni, Bernhard Egger, Suhas Lohit, Anoop Cherian, Ye Wang, Toshiaki Koike-Akino, Sharon X. Huang, Tim K. Marks

IJCAI 2024 Temporal Knowledge Graph Extrapolation via Causal Subhistory Identification Kai Chen, Ye Wang, Xin Song, Siwei Chen, Han Yu, Aiping Li

ECCV 2024 UniCode : Learning a Unified Codebook for Multimodal Large Language Models Sipeng Zheng, Bohan Zhou, Yicheng Feng, Ye Wang, Zongqing Lu

IJCAI 2024 XAI-Lyricist: Improving the Singability of AI-Generated Lyrics with Prosody Explanations Qihao Liang, Xichu Ma, Finale Doshi-Velez, Brian Lim, Ye Wang

ICCV 2023 Exploring Group Video Captioning with Efficient Relational Approximation Wang Lin, Tao Jin, Ye Wang, Wenwen Pan, Linjun Li, Xize Cheng, Zhou Zhao

NeurIPSW 2023 Exploring User-Level Gradient Inversion with a Diffusion Prior Zhuohang Li, Andrew Lowy, Jing Liu, Toshiaki Koike-Akino, Bradley A. Malin, Kieran Parsons, Ye Wang

AAAI 2023 FedNP: Towards Non-IID Federated Learning via Federated Neural Propagation Xueyang Wu, Hengguan Huang, Youlong Ding, Hao Wang, Ye Wang, Qian Xu

NeurIPSW 2023 Large-Scale Pretraining Improves Sample Efficiency of Active Learning Based Molecule Virtual Screening Zhonglin Cao, Simone Sciabola, Ye Wang

ICCV 2023 MixSpeech: Cross-Modality Self-Learning with Audio-Visual Stream Mixup for Visual Speech Translation and Recognition Xize Cheng, Tao Jin, Rongjie Huang, Linjun Li, Wang Lin, Zehan Wang, Ye Wang, Huadai Liu, Aoxiong Yin, Zhou Zhao

IJCAI 2023 Q&A: Query-Based Representation Learning for Multi-Track Symbolic Music Re-Arrangement Jingwei Zhao, Gus Xia, Ye Wang

ICCV 2023 Steered Diffusion: A Generalized Framework for Plug-and-Play Conditional Image Synthesis Nithin Gopalakrishnan Nair, Anoop Cherian, Suhas Lohit, Ye Wang, Toshiaki Koike-Akino, Vishal M. Patel, Tim K. Marks

CVPRW 2022 A3D: Studying Pretrained Representations with Programmable Datasets Ye Wang, Norman Mu, Daniele Grandi, Nicolas Savva, Jacob Steinhardt

IJCAI 2022 Adversarial Bi-Regressor Network for Domain Adaptive Regression Haifeng Xia, Pu Wang, Toshiaki Koike-Akino, Ye Wang, Philip V. Orlik, Zhengming Ding

CVPR 2022 CLIP-Forge: Towards Zero-Shot Text-to-Shape Generation Aditya Sanghi, Hang Chu, Joseph G. Lambourne, Ye Wang, Chin-Yi Cheng, Marco Fumero, Kamal Rahimi Malekshan

NeurIPS 2022 Extrapolative Continuous-Time Bayesian Neural Network for Fast Training-Free Test-Time Adaptation Hengguan Huang, Xiangming Gu, Hao Wang, Chang Xiao, Hongfu Liu, Ye Wang

NeurIPSW 2022 Learning with Noisy Labels Using Low-Dimensional Model Trajectory Vasu Singla, Shuchin Aeron, Toshiaki Koike-Akino, Kieran Parsons, Matthew Brand, Ye Wang

AAAI 2022 MOST-GAN: 3D Morphable StyleGAN for Disentangled Face Image Manipulation Safa C. Medin, Bernhard Egger, Anoop Cherian, Ye Wang, Joshua B. Tenenbaum, Xiaoming Liu, Tim K. Marks

TMLR 2022 Unsupervised Mismatch Localization in Cross-Modal Sequential Data with Application to Mispronunciations Localization Wei Wei, Hengguan Huang, Xiangming Gu, Hao Wang, Ye Wang

ICCVW 2021 MANet: A Motion-Driven Attention Network for Detecting the Pulse from a Facial Video with Drastic Motions Xuenan Liu, Xuezhi Yang, Ziyan Meng, Ye Wang, Jie Zhang, Alexander Wong

ICML 2021 STRODE: Stochastic Boundary Ordinary Differential Equation Hengguan Huang, Hongfu Liu, Hao Wang, Chang Xiao, Ye Wang

ICML 2020 Deep Graph Random Process for Relational-Thinking-Based Speech Recognition Hengguan Huang, Fuzhao Xue, Hao Wang, Ye Wang

WACV 2020 FX-GAN: Self-Supervised GAN Learning via Feature Exchange Rui Huang, Wenju Xu, Teng-Yok Lee, Anoop Cherian, Ye Wang, Tim Marks

IJCAI 2019 Discovering Regularities from Traditional Chinese Medicine Prescriptions via Bipartite Embedding Model Chunyang Ruan, Jiangang Ma, Ye Wang, Yanchun Zhang, Yun Yang

IJCAI 2018 Non-Decreasing Payment Rules for Combinatorial Auctions Vitor Bosshard, Ye Wang, Sven Seuken

WACV 2018 Unsupervised Clustering Guided Semantic Segmentation Qin Huang, Chunyang Xia, Siyang Li, Ye Wang, Yuhang Song, C.-C. Jay Kuo

AISTATS 2016 Scalable Geometric Density Estimation Ye Wang, Antonio Canale, David B. Dunson

NeurIPS 2015 Probabilistic Curve Learning: Coulomb Repulsion and the Electrostatic Gaussian Process Ye Wang, David B Dunson