| 2026 | AAAI | Boosting Noisy Correspondence Discrimination via Dynamic Neighborhood Semantic Verification. | Yu Wang, Fengxia Han, Jianyu Wang |
| 2026 | ACL | Detecting AI-Generated Content on Social Media with Multi-modal Language Models. | Chenyang Yang, Shen Yan, Yibo Yang, Litao Hu, Yuchen Liu, Yuan Zeng, Hanchao Yu, Yinan Zhu, Sumedha Singla, Brian Vanover, Huijun Qian, Zihao Wang, Fujun Liu, Aashu Singh, Jianyu Wang, Xuewen Zhang |
| 2026 | CHI | How Do We Research Human-Robot Interaction in the Age of Large Language Models? A Systematic Review. | Yufeng Wang, Yuan Xu, Anastasia Nikolova, Yuxuan Wang, Jianyu Wang, Chongyang Wang, Xin Tong |
| 2026 | WWW | RecoWorld: Building Simulated Environments for Agentic Recommender Systems. | Fei Liu, Xinyu Lin, Hanchao Yu, Mingyuan Wu, Jianyu Wang, Qiang Zhang, Zhuokai Zhao, Yinglong Xia, Yao Zhang, Weiwei Li, Mingze Gao, Qifan Wang, Lizhu Zhang, Benyu Zhang, Xiangjun Fan |
| 2025 | CVPR | Towards High-fidelity 3D Talking Avatar with Personalized Dynamic Texture. | Xuanchen Li, Jianyu Wang, Yuhao Cheng, Yikun Zeng, Xingyu Ren, Wenhan Zhu, Weiming Zhao, Yichao Yan |
| 2025 | ICCV | CAFE: Unifying Representation and Generation with Contrastive-Autoregressive Finetuning. | Hao Yu, Zhuokai Zhao, Shen Yan, Lukasz Korycki, Jianyu Wang, Baosheng He, Jiayi Liu, Lizhu Zhang, Xiangjun Fan, Hanchao Yu |
| 2025 | ICML | Instruction-Following Pruning for Large Language Models. | Bairu Hou, Qibin Chen, Jianyu Wang, Guoli Yin, Chong Wang, Nan Du, Ruoming Pang, Shiyu Chang, Tao Lei |
| 2025 | ICML | Evolving Prompts In-Context: An Open-ended, Self-replicating Perspective. | Jianyu Wang, Zhiqiang Hu, Lidong Bing |
| 2025 | NAACL | SeaLLMs 3: Open Foundation and Chat Multilingual Large Language Models for Southeast Asian Languages. | Wenxuan Zhang, Hou Pong Chan, Yiran Zhao, Mahani Aljunied, Jianyu Wang, Chaoqun Liu, Yue Deng, Zhiqiang Hu, Weiwen Xu, Yew Ken Chia, Xin Li, Lidong Bing |
| 2025 | WSC | Task-Aware Multi-Expert Architectures for Lifelong Deep Learning. | Jianyu Wang, Jacob Nean-Hua Sheikh, Cat P. Le, Hoda Bidkhori |
| 2024 | ACL | SeaLLMs - Large Language Models for Southeast Asia. | Xuan-Phi Nguyen, Wenxuan Zhang, Xin Li, Mahani Aljunied, Zhiqiang Hu, Chenhui Shen, Yew Ken Chia, Xingxuan Li, Jianyu Wang, Qingyu Tan, Liying Cheng, Guanzheng Chen, Yue Deng, Sen Yang, Chaoqun Liu, Hang Zhang, Lidong Bing |
| 2024 | ACL | CoGenesis: A Framework Collaborating Large and Small Language Models for Secure Context-Aware Instruction Following. | Kaiyan Zhang, Jianyu Wang, Ermo Hua, Biqing Qi, Ning Ding, Bowen Zhou |
| 2024 | CVPR | PLGSLAM: Progressive Neural Scene Represenation with Local to Global Bundle Adjustment. | Tianchen Deng, Guole Shen, Tong Qin, Jianyu Wang, Wentao Zhao, Jingchuan Wang, Danwei Wang, Weidong Chen |
| 2024 | ECCV | MM1: Methods, Analysis and Insights from Multimodal LLM Pre-training. | Brandon McKinzie, Zhe Gan, Jean-Philippe Fauconnier, Sam Dodge, Bowen Zhang, Philipp Dufter, Dhruti Shah, Xianzhi Du, Futang Peng, Anton Belyi, Haotian Zhang, Karanjeet Singh, Doug Kang, Hongyu H, Max Schwarzer, Tom Gunter, Xiang Kong, Aonan Zhang, Jianyu Wang, Chong Wang, Nan Du, Tao Lei, Sam Wiseman, Mark Lee, Zirui Wang, Ruoming Pang, Peter Grasch, Alexander Toshev, Yinfei Yang |
| 2024 | ICLR | FedHyper: A Universal and Robust Learning Rate Scheduler for Federated Learning with Hypergradient Descent. | Ziyao Wang, Jianyu Wang, Ang Li |
| 2024 | VTC | Improved Sparse Activity Detection Based on Optimized Measurement Matrix in mMTC. | Jianyu Wang, Yang Liu, Chaoyuan Bai, Heng Liu |
| 2023 | AISTATS | Federated Learning under Distributed Concept Drift. | Ellango Jothimurugesan, Kevin Hsieh, Jianyu Wang, Gauri Joshi, Phillip B. Gibbons |
| 2023 | CVPR | Few-Shot Non-Line-of-Sight Imaging with Signal-Surface Collaborative Regularization. | Xintong Liu, Jianyu Wang, Leping Xiao, Xing Fu, Lingyun Qiu, Zuoqiang Shi |
| 2023 | CVPR | Non-Line-of-Sight Imaging with Signal Superresolution Network. | Jianyu Wang, Xintong Liu, Leping Xiao, Zuoqiang Shi, Lingyun Qiu, Xing Fu |
| 2023 | GLOBECOM | Multi -Type Water Contaminant Identification Using Electrochemical Impedance Spectroscopy and Machine Learning at Network Edge. | Akhil Samavedam, Harsha Samavedam, Jianyu Wang |
| 2023 | ICLR | Where to Begin? On the Impact of Pre-Training and Initialization in Federated Learning. | John Nguyen, Jianyu Wang, Kshitiz Malik, Maziar Sanjabi, Michael G. Rabbat |
| 2023 | ICML | FedDisco: Federated Learning with Discrepancy-Aware Collaboration. | Rui Ye, Mingkai Xu, Jianyu Wang, Chenxin Xu, Siheng Chen, Yanfeng Wang |
| 2023 | IROS | SELVO: A Semantic-Enhanced Lidar-Visual Odometry. | Kun Jiang, Shuang Gao, Xudong Zhang, Jijunnan Li, Yandong Guo, Shijie Liu, Chunlai Li, Jianyu Wang |
| 2022 | AISTATS | Towards Understanding Biased Client Selection in Federated Learning. | Yae Jee Cho, Jianyu Wang, Gauri Joshi |
| 2022 | EMNLP | RLPrompt: Optimizing Discrete Text Prompts with Reinforcement Learning. | Mingkai Deng, Jianyu Wang, Cheng-Ping Hsieh, Yihan Wang, Han Guo, Tianmin Shu, Meng Song, Eric P. Xing, Zhiting Hu |
| 2021 | ICCCN | Def-IDS: An Ensemble Defense Mechanism Against Adversarial Attacks for Deep Learning-based Network Intrusion Detection. | Jianyu Wang, Jianli Pan, Ismail AlQerm, Yuanni Liu |
| 2020 | ACSSC | Exploring the Error-Runtime Trade-off in Decentralized Optimization. | Jianyu Wang, Anit Kumar Sahu, Gauri Joshi, Soummya Kar |
| 2020 | CVPR | Enhancing Cross-Task Black-Box Transferability of Adversarial Examples With Dispersion Reduction. | Yantao Lu, Yunhan Jia, Jianyu Wang, Bai Li, Weiheng Chai, Lawrence Carin, Senem Velipasalar |
| 2020 | ICASSP | Overlap Local-SGD: An Algorithmic Approach to Hide Communication Delays in Distributed SGD. | Jianyu Wang, Hao Liang, Gauri Joshi |
| 2020 | ICASSP | Lookahead Converges to Stationary Points of Smooth Non-convex Functions. | Jianyu Wang, Vinayak Tantia, Nicolas Ballas, Michael G. Rabbat |
| 2020 | ICLR | SlowMo: Improving Communication-Efficient Distributed SGD with Slow Momentum. | Jianyu Wang, Vinayak Tantia, Nicolas Ballas, Michael G. Rabbat |
| 2020 | ICPR | Deep Topic Modeling by Multilayer Bootstrap Network and Lasso. | Jianyu Wang, Xiao-Lei Zhang |
| 2020 | INFOCOM | Statistical QoS Provisioning Based Caching Placement for D2D Communications Based Emergency Networks. | Jianyu Wang, Wenchi Cheng, Hailin Zhang |
| 2020 | INFOCOM | Machine Learning on Volatile Instances. | Xiaoxi Zhang, Jianyu Wang, Gauri Joshi, Carlee Joe-Wong |
| 2020 | WWW | Analyzing and Detecting Adversarial Spam on a Large-scale Online APP Review System. | Jianyu Wang, Rui Wen, Chunming Wu, Jian Xiong |
| 2020 | WWW | ASA: Adversary Situation Awareness via Heterogeneous Graph Convolutional Networks. | Rui Wen, Jianyu Wang, Chunming Wu, Jian Xiong |
| 2019 | CVPR | Improving Transferability of Adversarial Examples With Input Diversity. | Cihang Xie, Zhishuai Zhang, Yuyin Zhou, Song Bai, Jianyu Wang, Zhou Ren, Alan L. Yuille |
| 2019 | EMNLP | Compositional Generalization for Primitive Substitutions. | Yuanpeng Li, Liang Zhao, Jianyu Wang, Joel Hestness |
| 2019 | ICCV | Bilateral Adversarial Training: Towards Fast Training of More Robust Models Against Adversarial Attacks. | Jianyu Wang, Haichao Zhang |
| 2019 | ICCV | Towards Adversarially Robust Object Detection. | Haichao Zhang, Jianyu Wang |
| 2019 | WWW | FdGars: Fraudster Detection via Graph Convolutional Networks in Online App Review System. | Jianyu Wang, Rui Wen, Chunming Wu, Yu Huang, Jian Xiong |
| 2018 | CVPR | DeepVoting: A Robust and Explainable Deep Network for Semantic Part Detection Under Partial Occlusion. | Zhishuai Zhang, Cihang Xie, Jianyu Wang, Lingxi Xie, Alan L. Yuille |
| 2018 | ICLR | Mitigating Adversarial Effects Through Randomization. | Cihang Xie, Jianyu Wang, Zhishuai Zhang, Zhou Ren, Alan L. Yuille |
| 2017 | BMVC | Detecting Semantic Parts on Partially Occluded Objects. | Jianyu Wang, Zhishuai Zhang, Cihang Xie, Jun Zhu, Lingxi Xie, Alan L. Yuille |
| 2017 | ICCV | Adversarial Examples for Semantic Segmentation and Object Detection. | Cihang Xie, Jianyu Wang, Zhishuai Zhang, Yuyin Zhou, Lingxi Xie, Alan L. Yuille |
| 2015 | CVPR | Semantic part segmentation using compositional model combining shape and appearance. | Jianyu Wang, Alan L. Yuille |
| 2015 | ICIP | Automatic assessment of online fashion shopping photo aesthetic quality. | Jianyu Wang, Jan P. Allebach |
| 2014 | ICIP | Semantically-based 2.5D texture printing. | Jianyu Wang, Jan P. Allebach, Maria V. Ortiz Segovia |
| 2013 | GLOBECOM | Multi-priority scheduling using network calculus: Model and analysis. | Jun Huang, Zi Xiong, Yanbing Liu, Qiang Duan, Yunlong He, Juan Lv, Jianyu Wang |
| 2012 | ICPR | Iris image classification based on color information. | Hui Zhang, Zhenan Sun, Tieniu Tan, Jianyu Wang |
| 2010 | CEC | Research of constraint handling techniques for Economic Load Dispatch of power system. | Yu Wang, Bin Li, Guang Mei Jing, Peng Wang, Jianyu Wang |
| 2007 | ISNN | Combining Weighted SVMs and Spectrum-Based | Ping Ling, Nan Lu, Jianyu Wang, Chunguang Zhou |
| 2005 | CVPR | Online Selecting Discriminative Tracking Features Using Particle Filter. | Jianyu Wang, Xilin Chen, Wen Gao |
| 2005 | CW | Two-Phase Support Vector Clustering for Multi-Relational Data Mining. | Ping Ling, Yan Wang, Nan Lu, Jianyu Wang, Chunguang Zhou, Shuang Liang |
| 2004 | ICIG | Interacting multiple model particle filter to adaptive visual tracking. | Jianyu Wang, Debin Zhao, Wen Gao, Shiguang Shan |
| 2003 | ICASSP | Facial feature tracking combining model-based and model-free method. | Jianyu Wang, Wen Gao, Shiguang Shan, XiaoPeng Hu |
| 2002 | IGARSS | Development of an airborne multi-angle TIR/VNIR imaging system. | Junfa Wang, Fan Yang, Jincai Xiao, Tao Wei, Jianyu Wang |