| 2026 | ISCAS | A Self-built Continuous Temperature Compensation Circuit for Logarithmic Amplifier. | Xinwei Yu, Zihao Xia, Siming Zhang, Bing Bai, Dongdong Chen |
| 2026 | KDD | Balanced Anomaly-guided Ego-graph Diffusion Model for Inductive Graph Anomaly Detection. | Chunyu Wei, Siyuan He, Yu Wang, Yueguo Chen, Yunhai Wang, Bing Bai, Yidong Zhang, Yong Xie, Shunming Zhang, Fei Wang |
| 2025 | ICCV | Diffusion Epistemic Uncertainty with Asymmetric Learning for Diffusion-Generated Image Detection. | Yingsong Huang, Hui Guo, Jing Huang, Bing Bai, Qi Xiong |
| 2025 | KDD | FoodGPT: Reinforcement Post-Training of Large Language Models in the Food Delivery Domain. | Jiang Wang, Zhengxin Dong, Bing Bai, Guyu Jiang, Aiquan Yuan, Guodong Cao |
| 2025 | KDD | Graph Evidential Learning for Anomaly Detection. | Chunyu Wei, Wenji Hu, Xingjia Hao, Yunhai Wang, Yueguo Chen, Bing Bai, Fei Wang |
| 2024 | CVPR | When Visual Grounding Meets Gigapixel-Level Large-Scale Scenes: Benchmark and Approach. | M. Tao, Bing Bai, Haozhe Lin, Heyuan Wang, Yu Wang, Lin Luo, Lu Fang |
| 2023 | CVPR | DartBlur: Privacy Preservation with Detection Artifact Suppression. | Baowei Jiang, Bing Bai, Haozhe Lin, Yu Wang, Yuchen Guo, Lu Fang |
| 2023 | ICCV | MHCN: A Hyperbolic Neural Network Model for Multi-view Hierarchical Clustering. | Fangfei Lin, Bing Bai, Yiwen Guo, Hao Chen, Yazhou Ren, Zenglin Xu |
| 2023 | ICCV | RealGraph: A Multiview Dataset for 4D Real-world Context Graph Generation. | Haozhe Lin, Zequn Chen, Jinzhi Zhang, Bing Bai, Yu Wang, Ruqi Huang, Lu Fang |
| 2023 | ICML | Boosting Graph Contrastive Learning via Graph Contrastive Saliency. | Chunyu Wei, Yu Wang, Bing Bai, Kai Ni, David Brady, Lu Fang |
| 2022 | AAAI | Uncertainty-Aware Learning against Label Noise on Imbalanced Datasets. | Yingsong Huang, Bing Bai, Shengwei Zhao, Kun Bai, Fei Wang |
| 2022 | CIKM | Dynamic Hypergraph Learning for Collaborative Filtering. | Chunyu Wei, Jian Liang, Bing Bai, Di Liu |
| 2022 | IJCAI | Contrastive Multi-view Hyperbolic Hierarchical Clustering. | Fangfei Lin, Bing Bai, Kun Bai, Yazhou Ren, Peng Zhao, Zenglin Xu |
| 2022 | IJCNN | ACE: A Coarse-to-Fine Learning Framework for Reliable Representation Learning Against Label Noise. | Chenbin Zhang, Xiangli Yang, Jian Liang, Bing Bai, Kun Bai, Irwin King, Zenglin Xu |
| 2022 | KDD | Task-optimized User Clustering based on Mobile App Usage for Cold-start Recommendations. | Bulou Liu, Bing Bai, Weibang Xie, Yiwen Guo, Hao Chen |
| 2022 | WWW | GSL4Rec: Session-based Recommendations with Collective Graph Structure Learning and Next Interaction Prediction. | Chunyu Wei, Bing Bai, Kun Bai, Fei Wang |
| 2021 | HCI | The Method of Mining the Relationship Between the Use of Architectural Elements in Buildings and Cultural Connotation It Reflects: Case of Beijing's Representative Buildings. | Wen-jun Hou, Qi-ying He, Tong Li, Bing Bai |
| 2021 | ISPA | Capture Uncertainties in Deep Neural Networks for Safe Operation of Autonomous Driving Vehicles. | Liuhui Ding, Dachuan Li, Bowen Liu, Wenxing Lan, Bing Bai, Qi Hao, Weipeng Cao, Ke Pei |
| 2021 | KDD | Why Attentions May Not Be Interpretable? | Bing Bai, Jian Liang, Guanhua Zhang, Hao Li, Kun Bai, Fei Wang |
| 2021 | WWW | REST: Reciprocal Framework for Spatiotemporal-coupled Predictions. | Haozhe Lin, Yushun Fan, Jia Zhang, Bing Bai |
| 2020 | ACL | Demographics Should Not Be the Reason of Toxicity: Mitigating Discrimination in Text Classifications with Instance Weighting. | Guanhua Zhang, Bing Bai, Junqi Zhang, Kun Bai, Conghui Zhu, Tiejun Zhao |
| 2020 | CVPR | Robust and Fast Vehicle Turn-counts at Intersections via an Integrated Solution from Detection, Tracking and Trajectory Modeling. | Zhihui Wang, Bing Bai, Yujun Xie, Tengfei Xing, Bineng Zhong, Qinqin Zhou, Yiping Meng, Bin Xu, Zhichao Song, Pengfei Xu, Runbo Hu, Hua Chai |
| 2020 | KDD | Adversarial Infidelity Learning for Model Interpretation. | Jian Liang, Bing Bai, Yuren Cao, Kun Bai, Fei Wang |
| 2020 | KDD | General-Purpose User Embeddings based on Mobile App Usage. | Junqi Zhang, Bing Bai, Ye Lin, Jian Liang, Kun Bai, Fei Wang |
| 2020 | SIGIR | Read, Attend, and Exclude: Multi-Choice Reading Comprehension by Mimicking Human Reasoning Process. | Chenbin Zhang, Congjian Luo, Junyu Lu, Ao Liu, Bing Bai, Kun Bai, Zenglin Xu |
| 2019 | ACL | Selection Bias Explorations and Debias Methods for Natural Language Sentence Matching Datasets. | Guanhua Zhang, Bing Bai, Jian Liang, Kun Bai, Shiyu Chang, Mo Yu, Conghui Zhu, Tiejun Zhao |
| 2019 | CIKM | On Novel Object Recognition: A Unified Framework for Discriminability and Adaptability. | Kai Li, Martin Renqiang Min, Bing Bai, Yun Fu, Hans Peter Graf |
| 2019 | CVPR | Spatio-temporal Consistency and Hierarchical Matching for Multi-Target Multi-Camera Vehicle Tracking. | Peilun Li, Guozhen Li, Zhangxi Yan, Youzeng Li, Meiqi Lu, Pengfei Xu, Yang Gu, Bing Bai, Yifei Zhang |
| 2019 | IJCAI | Conditional GAN with Discriminative Filter Generation for Text-to-Video Synthesis. | Yogesh Balaji, Martin Renqiang Min, Bing Bai, Rama Chellappa, Hans Peter Graf |
| 2018 | ICWS | PRNN: Piecewise Recurrent Neural Networks for Predicting the Tendency of Services Invocation. | Haozhe Lin, Yushun Fan, Jia Zhang, Bing Bai |
| 2017 | SIGIR | Detecting Positive Medical History Mentions. | Bing Bai, Pierre-Franois Laquerre, Richard G. Jackson, Robert Stewart |
| 2016 | ICWS | Time-Aware Collaborative Poisson Factorization for Service Recommendation. | Shuhui Chen, Yushun Fan, Wei Tan, Jia Zhang, Bing Bai, Zhenfeng Gao |
| 2016 | ICWS | SeCo-LDA: Mining Service Co-occurrence Topics for Recommendation. | Zhenfeng Gao, Yushun Fan, Cheng Wu, Wei Tan, Jia Zhang, Yayu Ni, Bing Bai, Shuhui Chen |
| 2015 | ICWS | Service Recommendation for Mashup Creation Based on Time-Aware Collaborative Domain Regression. | Bing Bai, Yushun Fan, Keman Huang, Wei Tan, Bofei Xia, Shuhui Chen |
| 2014 | ICWS | Domain-Aware Service Recommendation for Service Composition. | Bofei Xia, Yushun Fan, Cheng Wu, Keman Huang, Wei Tan, Jia Zhang, Bing Bai |
| 2014 | SIGIR | Deep Semantic Embedding. | Hao Wu, Martin Renqiang Min, Bing Bai |
| 2013 | ACL | Answer Extraction by Recursive Parse Tree Descent. | Christopher Malon, Bing Bai |
| 2012 | ICPR | Large-scale image classification using supervised spatial encoder. | Dmitriy Bespalov, Yanjun Qi, Bing Bai, Ali Shokoufandeh |
| 2011 | CIKM | Sentiment classification based on supervised latent n-gram analysis. | Dmitriy Bespalov, Bing Bai, Yanjun Qi, Ali Shokoufandeh |
| 2011 | ICNC | Agent-based simulation for enterprise capabilities under complex dynamic environments. | Dehua Gao, Xiuquan Deng, Bing Bai |
| 2011 | SDM | Sparse Latent Semantic Analysis. | Xi Chen, Yanjun Qi, Bing Bai, Qihang Lin, Jaime G. Carbonell |
| 2010 | ICDM | Learning Preferences with Millions of Parameters by Enforcing Sparsity. | Xi Chen, Bing Bai, Yanjun Qi, Qihang Lin, Jaime G. Carbonell |
| 2009 | CIKM | Supervised semantic indexing. | Bing Bai, Jason Weston, David Grangier, Ronan Collobert, Kunihiko Sadamasa, Yanjun Qi, Olivier Chapelle, Kilian Q. Weinberger |
| 2009 | ECIR | Supervised Semantic Indexing. | Bing Bai, Jason Weston, Ronan Collobert, David Grangier |
| 2007 | MICCAI | Effectiveness of the Finite Impulse Response Model in Content-Based fMRI Image Retrieval. | Bing Bai, Paul B. Kantor, Ali Shokoufandeh |
| 2006 | CIKM | IR principles for content-based indexing and retrieval of functional brain images. | Bing Bai, Paul B. Kantor, Nicu D. Cornea, Deborah Silver |
| 2006 | VTC | Correlation Transfer Characteristics of Multiple Element Antennas. | Bing Bai, Zhenghe Feng |
| 2004 | LREC | Designing a Realistic Evaluation of an End-to-end Interactive Question Answering System. | Nina Wacholder, Sharon G. Small, Bing Bai, Diane Kelly, Robert Rittman, Sean Ryan, Robert Salkin, Peng Song, Ying Sun, Ting Liu, Paul B. Kantor, Tomek Strzalkowski |