| 2026 | AAAI | Hierarchical Attention Network with Correction for Cross-Domain User Association. | Wenlong Liu, Ze Wang, Chenlong Wu, Yude Bai, Ji Zhang |
| 2026 | ACL | DRIFT: Transferring Reasoning Priors for Efficient MLLM Fine-Tuning. | Chao Huang, Zeliang Zhang, Jiang Liu, Ximeng Sun, Jialian Wu, Xiaodong Yu, Ze Wang, Chenliang Xu, Emad Barsoum, Zicheng Liu |
| 2026 | ACL | Reliable Use of Lemmas via Eligibility Reasoning and Section-Aware Reinforcement Learning. | Zhikun Xu, Xiaodong Yu, Ben Zhou, Jiang Liu, Jialian Wu, Ze Wang, Ximeng Sun, Hao Chen, Zicheng Liu |
| 2026 | ICFEC | NL-CPS: Reinforcement Learning-Based Kubernetes Control Plane Placement in Multi-Region Clusters. | Sajid Alam, Amjad Ullah, Ze Wang |
| 2026 | SIGIR | GNN-Based Item Indexing for LLM-Enhanced Recommendation. | Senlin Mao, Ji Zhang, Peng Zhang, Ze Wang, Xiaoyao Zheng, Jia Wang |
| 2026 | WACV | Conditional Text-to-Image Generation with Reference Guidance. | Taewook Kim, Ze Wang, Zhengyuan Yang, Jiang Wang, Lijuan Wang, Zicheng Liu, Qiang Qiu |
| 2025 | AAAI | Cross-Domain Trajectory Association Based on Hierarchical Spatiotemporal Enhanced Attention Hypergraph. | Chenlong Wu, Ze Wang, Keqing Cen, Yude Bai, Jin Hao |
| 2025 | ACL | LibVulnWatch: A Deep Assessment Agent System and Leaderboard for Uncovering Hidden Vulnerabilities in Open-Source AI Libraries. | Zekun Wu, Seonglae Cho, Umar Mohammed, Cristian E. Muoz Villalobos, Kleyton da Costa, Xin Guan, Theo King, Ze Wang, Emre Kazim, Adriano S. Koshiyama |
| 2025 | ACL | Self-Taught Agentic Long Context Understanding. | Yufan Zhuang, Xiaodong Yu, Jialian Wu, Ximeng Sun, Ze Wang, Jiang Liu, Yusheng Su, Jingbo Shang, Zicheng Liu, Emad Barsoum |
| 2025 | CCGRID | Contenders: Predicting Cache Contention of Co-Scheduled Applications. | Ze Wang, Tim S, Andr Brinkmann, Lars Nagel |
| 2025 | CIKM | UniROM: Unifying Online Advertising Ranking as One Model. | Junyan Qiu, Ze Wang, Fan Zhang, Zuowu Zheng, Jile Zhu, Jiangke Fan, Teng Zhang, Haitao Wang, Xingxing Wang |
| 2025 | CIKM | Non-autoregressive Generative Auction with Global Externalities for Online Advertising. | Zuowu Zheng, Ze Wang, Fan Yang, Wenqing Ye, Weihua Huang, Wenqiang He, Teng Zhang, Xingxing Wang |
| 2025 | CloudCom | EMixer: Reinforced Ensemble Learning for Energy Consumption Prediction. | Tonghui Li, Shuaiwei Liu, Ze Wang, Hongfen Tang, Kunyuan Sun, Lijie Wang, Yang Hu |
| 2025 | COLING | SAGED: A Holistic Bias-Benchmarking Pipeline for Language Models with Customisable Fairness Calibration. | Xin Guan, Nathaniel Demchak, Saloni Gupta, Ze Wang, Ediz Ertekin Jr., Adriano S. Koshiyama, Emre Kazim, Zekun Wu |
| 2025 | CSCWD | Dynamics Modeling and Simulation of SCARA Robot Based on Lagrangian Method. | Ze Wang, Hongbo Sun, Hao Jiang, Kang Tian |
| 2025 | CVPR | SoftVQ-VAE: Efficient 1-Dimensional Continuous Tokenizer. | Hao Chen, Ze Wang, Xiang Li, Ximeng Sun, Fangyi Chen, Jiang Liu, Jindong Wang, Bhiksha Raj, Zicheng Liu, Emad Barsoum |
| 2025 | EMNLP | Agent Laboratory: Using LLM Agents as Research Assistants. | Samuel Schmidgall, Yusheng Su, Ze Wang, Ximeng Sun, Jialian Wu, Xiaodong Yu, Jiang Liu, Michael Moor, Zicheng Liu, Emad Barsoum |
| 2025 | EvoCOP | Price-and-Branch Heuristic for Vector Bin Packing. | Ze Wang, Tim S, Nikolay Popov, Lars Nagel |
| 2025 | ICLR | Tuning Timestep-Distilled Diffusion Model Using Pairwise Sample Optimization. | Zichen Miao, Zhengyuan Yang, Kevin Lin, Ze Wang, Zicheng Liu, Lijuan Wang, Qiang Qiu |
| 2025 | ICML | Masked Autoencoders Are Effective Tokenizers for Diffusion Models. | Hao Chen, Yujin Han, Fangyi Chen, Xiang Li, Yidong Wang, Jindong Wang, Ze Wang, Zicheng Liu, Difan Zou, Bhiksha Raj |
| 2025 | IJCNLP | MPF: Aligning and Debiasing Language Models post Deployment via Multi-Perspective Fusion. | Xin Guan, PeiHsin Lin, Zekun Wu, Ze Wang, Ruibo Zhang, Emre Kazim, Adriano S. Koshiyama |
| 2025 | IJCNLP | Bias Amplification: Large Language Models as Increasingly Biased Media. | Ze Wang, Zekun Wu, Yichi Zhang, Xin Guan, Navya Jain, Qinyang Lu, Saloni Gupta, Adriano S. Koshiyama |
| 2025 | IROS | SF-TIM: A Simple Framework for Enhancing Quadrupedal Robot Jumping Agility by Combining Terrain Imagination and Measurement. | Ze Wang, Yang Li, Long Xu, Hao Shi, Zunwang Ma, Zhen Chu, Chao Li, Fei Gao, Kailun Yang, Kaiwei Wang |
| 2025 | PKAW | Time-Frequency Self-supervision and Multi-adversarial Domain Adaptation. | Guozhi Zhang, Ze Wang, Jin Hao, Xin Liu |
| 2025 | WACV | EI-Nexus: Towards Unmediated and Flexible Inter-Modality Local Feature Extraction and Matching for Event-Image Data. | Zhonghua Yi, Hao Shi, Qi Jiang, Kailun Yang, Ze Wang, Diyang Gu, Yufan Zhang, Kaiwei Wang |
| 2025 | SP | LeoDroid: An LLM-Based Few-Shot Multi-Label Detection for Android Malware. | Minhong Dong, Liyuan Liu, Qi Guo, Hongpeng Bai, Ruijie Gong, Yude Bai, Wenying He, Ze Wang, Guangquan Xu, Ji Zhang |
| 2024 | CVPR | Training Diffusion Models Towards Diverse Image Generation with Reinforcement Learning. | Zichen Miao, Jiang Wang, Ze Wang, Zhengyuan Yang, Lijuan Wang, Qiang Qiu, Zicheng Liu |
| 2024 | ECCV | Constructing Concept-Based Models to Mitigate Spurious Correlations with Minimal Human Effort. | Jeeyung Kim, Ze Wang, Qiang Qiu |
| 2024 | EMNLP | JobFair: A Framework for Benchmarking Gender Hiring Bias in Large Language Models. | Ze Wang, Zekun Wu, Xin Guan, Michael Thaler, Adriano S. Koshiyama, Skylar Lu, Sachin Beepath, Ediz Ertekin Jr., Mara Prez-Ortiz |
| 2024 | ICIP | Reducing Motion Artifacts in Brain MRI Using Vision Transformers and Self-Supervised Learning. | Lei Zhang, Xiaoke Wang, Edward H. Herskovits, Elias R. Melhem, Linda Chang, Ze Wang, Thomas Ernst |
| 2024 | SIGIR | Deep Automated Mechanism Design for Integrating Ad Auction and Allocation in Feed. | Xuejian Li, Ze Wang, Bingqi Zhu, Fei He, Yongkang Wang, Xingxing Wang |
| 2024 | SecureComm | TGSA: Trajectory Group Semantic Anonymization. | Minhong Dong, Ze Wang, Zhuo Han, Yude Bai, Chao Yuan, Guoying Qiu |
| 2023 | CVPR | Binary Latent Diffusion. | Ze Wang, Jiang Wang, Zicheng Liu, Qiang Qiu |
| 2023 | ICINCO | 2D LiDAR-Based Human Pose Tracking for a Mobile Robot. | Zhenyu Gao, Ze Wang, Ludovic Saint-Bauzel, Faz Ben Amar |
| 2023 | ICLR | Energy-Inspired Self-Supervised Pretraining for Vision Models. | Ze Wang, Jiang Wang, Zicheng Liu, Qiang Qiu |
| 2023 | IECON | Slice Extension for High-Quality Hybrid Additive-Subtractive Manufacturing. | Yunan Wang, Chuxiong Hu, Ze Wang, Shize Lin, Ziyan Zhao, Yu Zhu |
| 2023 | KDD | PIER: Permutation-Level Interest-Based End-to-End Re-ranking Framework in E-commerce. | Xiaowen Shi, Fan Yang, Ze Wang, Xiaoxu Wu, Muzhi Guan, Guogang Liao, Yongkang Wang, Xingxing Wang, Dong Wang |
| 2023 | SIGIR | MDDL: A Framework for Reinforcement Learning-based Position Allocation in Multi-Channel Feed. | Xiaowen Shi, Ze Wang, Yuanying Cai, Xiaoxu Wu, Fan Yang, Guogang Liao, Yongkang Wang, Xingxing Wang, Dong Wang |
| 2023 | WACV | Meta-OLE: Meta-learned Orthogonal Low-Rank Embedding. | Ze Wang, Yue Lu, Qiang Qiu |
| 2022 | CIKM | Learning List-wise Representation in Reinforcement Learning for Ads Allocation with Multiple Auxiliary Tasks. | Ze Wang, Guogang Liao, Xiaowen Shi, Xiaoxu Wu, Chuheng Zhang, Yongkang Wang, Xingxing Wang, Dong Wang |
| 2022 | CIKM | Hybrid Transfer in Deep Reinforcement Learning for Ads Allocation. | Ze Wang, Guogang Liao, Xiaowen Shi, Xiaoxu Wu, Chuheng Zhang, Bingqi Zhu, Yongkang Wang, Xingxing Wang, Dong Wang |
| 2022 | ICCCN | Multi-Controller Load Balancing Mechanism Based on Improved Genetic Algorithm. | Aixin Xu, Shimin Sun, Ze Wang, Xiaofan Wang, Li Han |
| 2022 | ICLR | Continual Learning with Filter Atom Swapping. | Zichen Miao, Ze Wang, Wei Chen, Qiang Qiu |
| 2022 | IROS | LF-VIO: A Visual-Inertial-Odometry Framework for Large Field-of-View Cameras with Negative Plane. | Ze Wang, Kailun Yang, Hao Shi, Peng Li, Fei Gao, Kaiwei Wang |
| 2022 | SMC | Joint Water-Filling Algorithm with Adaptive Chroma Adjustment for Shadow Removal From Text Document Images. | Ze Wang, Bingshu Wang, Jiangbin Zheng, C. L. Philip Chen |
| 2022 | WWW | Cross DQN: Cross Deep Q Network for Ads Allocation in Feed. | Guogang Liao, Ze Wang, Xiaoxu Wu, Xiaowen Shi, Chuheng Zhang, Yongkang Wang, Xingxing Wang, Dong Wang |
| 2022 | SIGIR | Deep Page-Level Interest Network in Reinforcement Learning for Ads Allocation. | Guogang Liao, Xiaowen Shi, Ze Wang, Xiaoxu Wu, Chuheng Zhang, Yongkang Wang, Xingxing Wang, Dong Wang |
| 2021 | CVPR | Using Text To Teach Image Retrieval. | Haoyu Dong, Ze Wang, Qiang Qiu, Guillermo Sapiro |
| 2021 | HPCC | Infrared and Visible Image Fusion based on Deep Gradient Constraint Driven Network. | Ze Wang, Guoxia Xu |
| 2021 | ICCV | Adaptive Convolutions with Per-pixel Dynamic Filter Atom. | Ze Wang, Zichen Miao, Jun Hu, Qiang Qiu |
| 2021 | ICRA | Meaningful Centroidal Frame Orientation of Multi-body Floating Locomotion Systems. | Wenqian Du, Ze Wang, Etienne Moullet, Faz BenAmar |
| 2021 | ICRA | Cirrus: A Long-range Bi-pattern LiDAR Dataset. | Ze Wang, Sihao Ding, Ying Li, Jonas Fenn, Sohini Roychowdhury, Andreas Wallin, Lane Martin, Scott Ryvola, Guillermo Sapiro, Qiang Qiu |
| 2020 | ICDM | A Hierarchical Knowledge and Interest Propagation Network for Recommender Systems. | Qinghong Chen, Huobin Tan, Guangyan Lin, Ze Wang |
| 2020 | ICLR | Stochastic Conditional Generative Networks with Basis Decomposition. | Ze Wang, Xiuyuan Cheng, Guillermo Sapiro, Qiang Qiu |
| 2020 | IECON | Improved Dynamic Window Approach for Dynamic Obstacle Avoidance of Quadruped Robots. | Zhiming Chen, Ze Wang, Miao Wu, Hua Chen, Wei Zhang |
| 2020 | SIGIR | CKAN: Collaborative Knowledge-aware Attentive Network for Recommender Systems. | Ze Wang, Guangyan Lin, Huobin Tan, Qinghong Chen, Xiyang Liu |
| 2019 | MICCAI | A Two-Stage Multi-loss Super-Resolution Network for Arterial Spin Labeling Magnetic Resonance Imaging. | Zheng Li, Qingping Liu, Yiran Li, Qiu Ge, Yuanqi Shang, Donghui Song, Ze Wang, Jun Shi |
| 2019 | MICCAI | Mapping the Spatio-Temporal Functional Coherence in the Resting Brain. | Ze Wang |
| 2019 | MICCAI | BOLD fMRI-Based Brain Perfusion Prediction Using Deep Dilated Wide Activation Networks. | Danfeng Xie, Yiran Li, HanLu Yang, Donghui Song, Yuanqi Shang, Qiu Ge, Li Bai, Ze Wang |
| 2018 | AAAI | CD-CNN: A Partially Supervised Cross-Domain Deep Learning Model for Urban Resident Recognition. | Jingyuan Wang, Xu He, Ze Wang, Junjie Wu, Nicholas Jing Yuan, Xing Xie, Zhang Xiong |
| 2018 | BMVC | In Defense of Single-column Networks for Crowd Counting. | Ze Wang, Zehao Xiao, Kai Xie, Qiang Qiu, Xiantong Zhen, Xianbin Cao |
| 2018 | FC | Blockchain-Based Certificate Transparency and Revocation Transparency. | Ze Wang, Jingqiang Lin, Quanwei Cai, Qiongxiao Wang, Jiwu Jing, Daren Zha |
| 2018 | KDD | Multilevel Wavelet Decomposition Network for Interpretable Time Series Analysis. | Jingyuan Wang, Ze Wang, Jianfeng Li, Junjie Wu |
| 2018 | SMC | Learning Prototype Spatial Filters for Subject-Independent SSVEP-Based Brain-Computer Interface. | Ka Fai Lao, Chi Man Wong, Ze Wang, Feng Wan |
| 2015 | ESORICS | vBox: Proactively Establishing Secure Channels Between Wireless Devices Without Prior Knowledge. | Wei Wang, Jingqiang Lin, Zhan Wang, Ze Wang, Luning Xia |
| 2015 | ISNN | Fast Basis Searching Method of Adaptive Fourier Decomposition Based on Nelder-Mead Algorithm for ECG Signals. | Ze Wang, Limin Yang, Chiman Wong, Feng Wan |
| 2015 | ISNN | Frequency Recognition Based on Wavelet-Independent Component Analysis for SSVEP-Based BCIs. | Limin Yang, Ze Wang, Chiman Wong, Feng Wan |
| 2014 | ISNN | Single-Trial Detection of Error-Related Potential by One-Unit SOBI-R in SSVEP-Based BCI. | Janir Nuno da Cruz, Ze Wang, Chiman Wong, Feng Wan |
| 2014 | SMC | Muscle and electrode motion artifacts reduction in ECG using adaptive Fourier decomposition. | Ze Wang, Chiman Wong, Janir Nuno da Cruz, Feng Wan, Pui-In Mak, Peng Un Mak, Mang I Vai |
| 2011 | ICICS | A Unified Security Framework for Multi-domain Wireless Mesh Networks. | Ze Wang, Maode Ma, Wenju Liu, Xixi Wei |