Bingzhe Wu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
38
Venues
19
Active years
2017–2026
Best venue rank
A*
Where they publish
Papers
38 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | CHAIRO: Contextual Hierarchical Analogical Induction and Reasoning Optimization for LLMs. | Haotian Lu, Yuchen Mou, Bingzhe Wu |
| 2026 | ACL | CARO: Chain-of-Analogy Reasoning Optimization for Robust Content Moderation. | Bingzhe Wu, Haotian Lu, Yuchen Mou |
| 2025 | AAAI | Spurious Feature Eraser: Stabilizing Test-Time Adaptation for Vision-Language Foundation Model. | Huan Ma, Yan Zhu, Changqing Zhang, Peilin Zhao, Baoyuan Wu, Long-Kai Huang, Qinghua Hu, Bingzhe Wu |
| 2025 | ICDE | SLPerf: A Research Library and Benchmark Framework for Split Learning. | Zhanyi Hu, Tianchen Zhou, Bingzhe Wu, Cen Chen, Yanhao Wang |
| 2025 | ICML | IBCircuit: Towards Holistic Circuit Discovery with Information Bottleneck. | Tian Bian, Yifan Niu, Chaohao Yuan, Chengzhi Piao, Bingzhe Wu, Long-Kai Huang, Yu Rong, Tingyang Xu, Hong Cheng, Jia Li |
| 2025 | ICML | NTPP: Generative Speech Language Modeling for Dual-Channel Spoken Dialogue via Next-Token-Pair Prediction. | Qichao Wang, Ziqiao Meng, Wenqian Cui, Yifei Zhang, Pengcheng Wu, Bingzhe Wu, Irwin King, Liang Chen, Peilin Zhao |
| 2025 | ICML | Measuring Diversity in Synthetic Datasets. | Yuchang Zhu, Huizhe Zhang, Bingzhe Wu, Jintang Li, Zibin Zheng, Peilin Zhao, Liang Chen, Yatao Bian |
| 2024 | AAAI | A Label Disambiguation-Based Multimodal Massive Multiple Instance Learning Approach for Immune Repertoire Classification. | Fan Xu, Yu Zhao, Bingzhe Wu, Yueshan Huang, Qin Ren, Yang Xiao, Bing He, Jie Zheng, Jianhua Yao |
| 2024 | ICLR | VDC: Versatile Data Cleanser based on Visual-Linguistic Inconsistency by Multimodal Large Language Models. | Zihao Zhu, Mingda Zhang, Shaokui Wei, Bingzhe Wu, Baoyuan Wu |
| 2024 | ICML | Parameter-Efficient Fine-Tuning with Discrete Fourier Transform. | Ziqi Gao, Qichao Wang, Aochuan Chen, Zijing Liu, Bingzhe Wu, Liang Chen, Jia Li |
| 2024 | PRICAI | Rethinking the Reliability of Post-hoc Calibration Methods Under Subpopulation Shift. | Yan Zhu, Huan Ma, Changqing Zhang, Bingzhe Wu, Huazhu Fu, Joey Tianyi Zhou, Qinghua Hu |
| 2024 | WSDM | Rethinking and Simplifying Bootstrapped Graph Latents. | Wangbin Sun, Jintang Li, Liang Chen, Bingzhe Wu, Yatao Bian, Zibin Zheng |
| 2023 | AAAI | DrugOOD: Out-of-Distribution Dataset Curator and Benchmark for AI-Aided Drug Discovery - a Focus on Affinity Prediction Problems with Noise Annotations. | Yuanfeng Ji, Lu Zhang, Jiaxiang Wu, Bingzhe Wu, Lanqing Li, Long-Kai Huang, Tingyang Xu, Yu Rong, Jie Ren, Ding Xue, Houtim Lai, Wei Liu, Junzhou Huang, Shuigeng Zhou, Ping Luo, Peilin Zhao, Yatao Bian |
| 2023 | ACL | E-NER: Evidential Deep Learning for Trustworthy Named Entity Recognition. | Zhen Zhang, Mengting Hu, Shiwan Zhao, Minlie Huang, Haotian Wang, Lemao Liu, Zhirui Zhang, Zhe Liu, Bingzhe Wu |
| 2023 | CIKM | SAILOR: Structural Augmentation Based Tail Node Representation Learning. | Jie Liao, Jintang Li, Liang Chen, Bingzhe Wu, Yatao Bian, Zibin Zheng |
| 2023 | CVPR | Post-Training Quantization on Diffusion Models. | Yuzhang Shang, Zhihang Yuan, Bin Xie, Bingzhe Wu, Yan Yan |
| 2023 | EMNLP | Beyond Factuality: A Comprehensive Evaluation of Large Language Models as Knowledge Generators. | Liang Chen, Yang Deng, Yatao Bian, Zeyu Qin, Bingzhe Wu, Tat-Seng Chua, Kam-Fai Wong |
| 2023 | EMNLP | RECAL: Sample-Relation Guided Confidence Calibration over Tabular Data. | Haotian Wang, Zhen Zhang, Mengting Hu, Qichao Wang, Liang Chen, Yatao Bian, Bingzhe Wu |
| 2023 | EMNLP | Density-Aware Prototypical Network for Few-Shot Relation Classification. | Jianfeng Wu, Mengting Hu, Yike Wu, Bingzhe Wu, Yalan Xie, Mingming Liu, Renhong Cheng |
| 2023 | EMNLP | PsyCoT: Psychological Questionnaire as Powerful Chain-of-Thought for Personality Detection. | Tao Yang, Tianyuan Shi, Fanqi Wan, Xiaojun Quan, Qifan Wang, Bingzhe Wu, Jiaxiang Wu |
| 2023 | ICLR | Pareto Invariant Risk Minimization: Towards Mitigating the Optimization Dilemma in Out-of-Distribution Generalization. | Yongqiang Chen, Kaiwen Zhou, Yatao Bian, Binghui Xie, Bingzhe Wu, Yonggang Zhang, Kaili Ma, Han Yang, Peilin Zhao, Bo Han, James Cheng |
| 2023 | ICLR | Federated Nearest Neighbor Machine Translation. | Yichao Du, Zhirui Zhang, Bingzhe Wu, Lemao Liu, Tong Xu, Enhong Chen |
| 2023 | ICML | Calibrating Multimodal Learning. | Huan Ma, Qingyang Zhang, Changqing Zhang, Bingzhe Wu, Huazhu Fu, Joey Tianyi Zhou, Qinghua Hu |
| 2023 | KDD | Privacy Matters: Vertical Federated Linear Contextual Bandits for Privacy Protected Recommendation. | Zeyu Cao, Zhipeng Liang, Bingzhe Wu, Shu Zhang, Hangyu Li, Ouyang Wen, Yu Rong, Peilin Zhao |
| 2023 | MICCAI | IIB-MIL: Integrated Instance-Level and Bag-Level Multiple Instances Learning with Label Disambiguation for Pathological Image Analysis. | Qin Ren, Yu Zhao, Bing He, Bingzhe Wu, Sijie Mai, Fan Xu, Yueshan Huang, Yonghong He, Junzhou Huang, Jianhua Yao |
| 2022 | HPCA | Enabling High-Quality Uncertainty Quantification in a PIM Designed for Bayesian Neural Network. | Xingchen Li, Bingzhe Wu, Guangyu Sun, Zhe Zhang, Zhihang Yuan, Runsheng Wang, Ru Huang, Dimin Niu, Hongzhong Zheng, Zhichao Lu, Liang Zhao, Meng-Fan Marvin Chang, Tianchan Guan, Xin Si |
| 2022 | IJCAI | Vertically Federated Graph Neural Network for Privacy-Preserving Node Classification. | Chaochao Chen, Jun Zhou, Longfei Zheng, Huiwen Wu, Lingjuan Lyu, Jia Wu, Bingzhe Wu, Ziqi Liu, Li Wang, Xiaolin Zheng |
| 2022 | KDD | Trustworthy Graph Learning: Reliability, Explainability, and Privacy Protection. | Bingzhe Wu, Yatao Bian, Hengtong Zhang, Jintang Li, Junchi Yu, Liang Chen, Chaochao Chen, Junzhou Huang |
| 2021 | ISCA | HASCO: Towards Agile HArdware and Software CO-design for Tensor Computation. | Qingcheng Xiao, Size Zheng, Bingzhe Wu, Pengcheng Xu, Xuehai Qian, Yun Liang |
| 2020 | AAAI | Characterizing Membership Privacy in Stochastic Gradient Langevin Dynamics. | Bingzhe Wu, Chaochao Chen, Shiwan Zhao, Cen Chen, Yuan Yao, Guangyu Sun, Li Wang, Xiaolu Zhang, Jun Zhou |
| 2020 | CIKM | Nebula: A Scalable Privacy-Preserving Machine Learning System in Ant Financial. | Cen Chen, Bingzhe Wu, Li Wang, Chaochao Chen, Jin Tan, Lei Wang, Jun Zhou, Benyu Zhang |
| 2020 | ECAI | Secure Social Recommendation Based on Secret Sharing. | Chaochao Chen, Liang Li, Bingzhe Wu, Cheng Hong, Li Wang, Jun Zhou |
| 2020 | ECCV | S2DNAS: Transforming Static CNN Model for Dynamic Inference via Neural Architecture Search. | Zhihang Yuan, Bingzhe Wu, Guangyu Sun, Zheng Liang, Shiwan Zhao, Weichen Bi |
| 2020 | WWW | Automatic Knowledge Fusion in Transferrable Networks for Semantic Text Matching. | Cen Chen, Ya-Lin Zhang, Minghui Qiu, Bingzhe Wu, Li Wang, Longfei Li, Jun Zhou |
| 2019 | AAAI | G2C: A Generator-to-Classifier Framework Integrating Multi-Stained Visual Cues for Pathological Glomerulus Classification. | Bingzhe Wu, Xiaolu Zhang, Shiwan Zhao, Lingxi Xie, Caihong Zeng, Zhihong Liu, Guangyu Sun |
| 2019 | CVPR | P3SGD: Patient Privacy Preserving SGD for Regularizing Deep CNNs in Pathological Image Classification. | Bingzhe Wu, Shiwan Zhao, Guangyu Sun, Xiaolu Zhang, Zhong Su, Caihong Zeng, Zhihong Liu |
| 2019 | IJCAI | BAYHENN: Combining Bayesian Deep Learning and Homomorphic Encryption for Secure DNN Inference. | Peichen Xie, Bingzhe Wu, Guangyu Sun |
| 2017 | ICANN | Reducing Overfitting in Deep Convolutional Neural Networks Using Redundancy Regularizer. | Bingzhe Wu, Zhichao Liu, Zhihang Yuan, Guangyu Sun, Charles Wu |