Bingzhe Wu - RankMe

112 papers A* 25A 4Journal 70Unranked 13

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	IBCircuit: Towards Holistic Circuit Discovery with Information Bottleneck. CoRR Tian Bian, Yifan Niu, Chaohao Yuan, Chengzhi Piao, Bingzhe Wu, Long-Kai Huang, Yu Rong, Tingyang Xu, Hong Cheng, Jia Li
2025	J	`jnl`	A Review and Experimental Evaluation on Split Learning. Future Internet Zhanyi Hu, Tianchen Zhou, Bingzhe Wu, Cen Chen, Yanhao Wang
2025	—	`conf`	AuditAgent: Expert-Guided Multi-Agent Reasoning for Cross-Document Fraudulent Evidence Discovery. ICAIF Songran Bai, Bingzhe Wu, Yiwei Zhang, Chengke Wu, Xiaolong Zheng, Yaze Yuan, Ke Wu, Jianqiang Li
2025	J	`jnl`	AuditAgent: Expert-Guided Multi-Agent Reasoning for Cross-Document Fraudulent Evidence Discovery. CoRR Songran Bai, Bingzhe Wu, Yiwei Zhang, Chengke Wu, Xiaolong Zheng, Yaze Yuan, Ke Wu, Jianqiang Li
2025	A*	`conf`	IBCircuit: Towards Holistic Circuit Discovery with Information Bottleneck. ICML Tian Bian, Yifan Niu, Chaohao Yuan, Chengzhi Piao, Bingzhe Wu, Long-Kai Huang, Yu Rong, Tingyang Xu, Hong Cheng, Jia Li
2025	J	`jnl`	Learning With Noisy Labels Over Imbalanced Subpopulations. IEEE Trans. Neural Networks Learn. Syst. Mingcai Chen, Yu Zhao, Bing He, Zongbo Han, Junzhou Huang, Bingzhe Wu, Jianhua Yao
2025	A*	`conf`	Measuring Diversity in Synthetic Datasets. ICML Yuchang Zhu, Huizhe Zhang, Bingzhe Wu, Jintang Li, Zibin Zheng, Peilin Zhao, Liang Chen, Yatao Bian
2025	J	`jnl`	Measuring Diversity in Synthetic Datasets. CoRR Yuchang Zhu, Huizhe Zhang, Bingzhe Wu, Jintang Li, Zibin Zheng, Peilin Zhao, Liang Chen, Yatao Bian
2025	A*	`conf`	NTPP: Generative Speech Language Modeling for Dual-Channel Spoken Dialogue via Next-Token-Pair Prediction. ICML Qichao Wang, Ziqiao Meng, Wenqian Cui, Yifei Zhang, Pengcheng Wu, Bingzhe Wu, Irwin King, Liang Chen, Peilin Zhao
2025	J	`jnl`	NTPP: Generative Speech Language Modeling for Dual-Channel Spoken Dialogue via Next-Token-Pair Prediction. CoRR Qichao Wang, Ziqiao Meng, Wenqian Cui, Yifei Zhang, Pengcheng Wu, Bingzhe Wu, Irwin King, Liang Chen, Peilin Zhao
2025	J	`jnl`	SAFEx: Analyzing Vulnerabilities of MoE-Based LLMs via Stable Safety-critical Expert Identification. CoRR ZhengLin Lai, MengYao Liao, Dong Xu, Zebin Zhao, Zhihang Yuan, Chao Fan, Jianqiang Li, Bingzhe Wu
2025	—	`conf`	SLPerf: A Research Library and Benchmark Framework for Split Learning. ICDEW Zhanyi Hu, Tianchen Zhou, Bingzhe Wu, Cen Chen, Yanhao Wang
2025	J	`jnl`	Silhouette-based Gait Foundation Model. CoRR Dingqiang Ye, Chao Fan, Kartik Narayan, Bingzhe Wu, Chengwen Luo, Jianqiang Li, Vishal M. Patel
2025	J	`jnl`	Sparsification and Reconstruction from the Perspective of Representation Geometry. CoRR Wenjie Sun, Bingzhe Wu, Zhile Yang, Chengke Wu
2025	A*	`conf`	Spurious Feature Eraser: Stabilizing Test-Time Adaptation for Vision-Language Foundation Model. AAAI Huan Ma, Yan Zhu, Changqing Zhang, Peilin Zhao, Baoyuan Wu, Long-Kai Huang, Qinghua Hu, Bingzhe Wu
2024	A*	`conf`	A Label Disambiguation-Based Multimodal Massive Multiple Instance Learning Approach for Immune Repertoire Classification. AAAI Fan Xu, Yu Zhao, Bingzhe Wu, Yueshan Huang, Qin Ren, Yang Xiao, Bing He, Jie Zheng, Jianhua Yao
2024	J	`jnl`	Invariant Test-Time Adaptation for Vision-Language Model Generalization. CoRR Huan Ma, Yan Zhu, Changqing Zhang, Peilin Zhao, Baoyuan Wu, Long-Kai Huang, Qinghua Hu, Bingzhe Wu
2024	J	`jnl`	LLM Inference Unveiled: Survey and Roofline Model Insights. CoRR Zhihang Yuan, Yuzhang Shang, Yang Zhou, Zhen Dong, Zhe Zhou, Chenhao Xue, Bingzhe Wu, Zhikai Li, Qingyi Gu, Yong Jae Lee, Yan Yan, Beidi Chen, Guangyu Sun, Kurt Keutzer
2024	A*	`conf`	Parameter-Efficient Fine-Tuning with Discrete Fourier Transform. ICML Ziqi Gao, Qichao Wang, Aochuan Chen, Zijing Liu, Bingzhe Wu, Liang Chen, Jia Li
2024	J	`jnl`	Parameter-Efficient Fine-Tuning with Discrete Fourier Transform. CoRR Ziqi Gao, Qichao Wang, Aochuan Chen, Zijing Liu, Bingzhe Wu, Liang Chen, Jia Li
2024	J	`jnl`	Probing the Safety Response Boundary of Large Language Models via Unsafe Decoding Path Generation. CoRR Haoyu Wang, Bingzhe Wu, Yatao Bian, Yongzhe Chang, Xueqian Wang, Peilin Zhao
2024	A	`conf`	Rethinking and Simplifying Bootstrapped Graph Latents. WSDM Wangbin Sun, Jintang Li, Liang Chen, Bingzhe Wu, Yatao Bian, Zibin Zheng
2024	—	`conf`	Rethinking the Reliability of Post-hoc Calibration Methods Under Subpopulation Shift. PRICAI (2) Yan Zhu, Huan Ma, Changqing Zhang, Bingzhe Wu, Huazhu Fu, Joey Tianyi Zhou, Qinghua Hu
2024	J	`jnl`	RiskAwareBench: Towards Evaluating Physical Risk Awareness for High-level Planning of LLM-based Embodied Agents. CoRR Zihao Zhu, Bingzhe Wu, Zhengyou Zhang, Baoyuan Wu
2024	J	`jnl`	Step-On-Feet Tuning: Scaling Self-Alignment of LLMs via Bootstrapping. CoRR Haoyu Wang, Guozheng Ma, Ziqiao Meng, Zeyu Qin, Li Shen, Zhong Zhang, Bingzhe Wu, Liu Liu, Yatao Bian, Tingyang Xu, Xueqian Wang, Peilin Zhao
2024	A*	`conf`	VDC: Versatile Data Cleanser based on Visual-Linguistic Inconsistency by Multimodal Large Language Models. ICLR Zihao Zhu, Mingda Zhang, Shaokui Wei, Bingzhe Wu, Baoyuan Wu
2024	J	`jnl`	Variate Associated Domain Adaptation for Unsupervised Multivariate Time Series Anomaly Detection. ACM Trans. Knowl. Discov. Data Yifan He, Yatao Bian, Xi Ding, Bingzhe Wu, Jihong Guan, Ji Zhang, Shuigeng Zhou
2023	J	`jnl`	Adapting Large Language Models for Content Moderation: Pitfalls in Data Engineering and Supervised Fine-tuning. CoRR Huan Ma, Changqing Zhang, Huazhu Fu, Peilin Zhao, Bingzhe Wu
2023	—	`conf`	Attention Paper: How Generative AI Reshapes Digital Shadow Industry? ACM TUR-C Qichao Wang, Huan Ma, Wentao Wei, Hangyu Li, Changqing Zhang, Peilin Zhao, Binwen Zhao, Bo Hu, Shu Zhang, Bingzhe Wu, Liang Chen
2023	J	`jnl`	Attention Paper: How Generative AI Reshapes Digital Shadow Industry? CoRR Qichao Wang, Huan Ma, Wentao Wei, Hangyu Li, Liang Chen, Peilin Zhao, Binwen Zhao, Bo Hu, Shu Zhang, Zibin Zheng, Bingzhe Wu
2023	J	`jnl`	Benchmarking the Reliability of Post-training Quantization: a Particular Focus on Worst-case Performance. CoRR Zhihang Yuan, Jiawei Liu, Jiaxiang Wu, Dawei Yang, Qiang Wu, Guangyu Sun, Wenyu Liu, Xinggang Wang, Bingzhe Wu
2023	A*	`conf`	Beyond Factuality: A Comprehensive Evaluation of Large Language Models as Knowledge Generators. EMNLP Liang Chen, Yang Deng, Yatao Bian, Zeyu Qin, Bingzhe Wu, Tat-Seng Chua, Kam-Fai Wong
2023	J	`jnl`	Beyond Factuality: A Comprehensive Evaluation of Large Language Models as Knowledge Generators. CoRR Liang Chen, Yang Deng, Yatao Bian, Zeyu Qin, Bingzhe Wu, Tat-Seng Chua, Kam-Fai Wong
2023	J	`jnl`	COPPER: a combinatorial optimization problem solver with processing-in-memory architecture. Frontiers Inf. Technol. Electron. Eng. Qiankun Wang, Xingchen Li, Bingzhe Wu, Ke Yang, Wei Hu, Guangyu Sun, Yuchao Yang
2023	A*	`conf`	Calibrating Multimodal Learning. ICML Huan Ma, Qingyang Zhang, Changqing Zhang, Bingzhe Wu, Huazhu Fu, Joey Tianyi Zhou, Qinghua Hu
2023	J	`jnl`	Calibrating Multimodal Learning. CoRR Huan Ma, Qingyang Zhang, Changqing Zhang, Bingzhe Wu, Huazhu Fu, Joey Tianyi Zhou, Qinghua Hu
2023	—	`conf`	Density-Aware Prototypical Network for Few-Shot Relation Classification. EMNLP (Findings) Jianfeng Wu, Mengting Hu, Yike Wu, Bingzhe Wu, Yalan Xie, Mingming Liu, Renhong Cheng
2023	A*	`conf`	DrugOOD: Out-of-Distribution Dataset Curator and Benchmark for AI-Aided Drug Discovery - a Focus on Affinity Prediction Problems with Noise Annotations. AAAI 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	J	`jnl`	Dynamics Adapted Imitation Learning. Trans. Mach. Learn. Res. Zixuan Liu, Liu Liu, Bingzhe Wu, Lanqing Li, Xueqian Wang, Bo Yuan, Peilin Zhao
2023	—	`conf`	E-NER: Evidential Deep Learning for Trustworthy Named Entity Recognition. ACL (Findings) Zhen Zhang, Mengting Hu, Shiwan Zhao, Minlie Huang, Haotian Wang, Lemao Liu, Zhirui Zhang, Zhe Liu, Bingzhe Wu
2023	J	`jnl`	E-NER: Evidential Deep Learning for Trustworthy Named Entity Recognition. CoRR Zhen Zhang, Mengting Hu, Shiwan Zhao, Minlie Huang, Haotian Wang, Lemao Liu, Zhirui Zhang, Zhe Liu, Bingzhe Wu
2023	A*	`conf`	Fairness-guided Few-shot Prompting for Large Language Models. NeurIPS Huan Ma, Changqing Zhang, Yatao Bian, Lemao Liu, Zhirui Zhang, Peilin Zhao, Shu Zhang, Huazhu Fu, Qinghua Hu, Bingzhe Wu
2023	J	`jnl`	Fairness-guided Few-shot Prompting for Large Language Models. CoRR Huan Ma, Changqing Zhang, Yatao Bian, Lemao Liu, Zhirui Zhang, Peilin Zhao, Shu Zhang, Huazhu Fu, Qinghua Hu, Bingzhe Wu
2023	A*	`conf`	Federated Nearest Neighbor Machine Translation. ICLR Yichao Du, Zhirui Zhang, Bingzhe Wu, Lemao Liu, Tong Xu, Enhong Chen
2023	J	`jnl`	Federated Nearest Neighbor Machine Translation. CoRR Yichao Du, Zhirui Zhang, Bingzhe Wu, Lemao Liu, Tong Xu, Enhong Chen
2023	—	`conf`	IIB-MIL: Integrated Instance-Level and Bag-Level Multiple Instances Learning with Label Disambiguation for Pathological Image Analysis. MICCAI (6) Qin Ren, Yu Zhao, Bing He, Bingzhe Wu, Sijie Mai, Fan Xu, Yueshan Huang, Yonghong He, Junzhou Huang, Jianhua Yao
2023	J	`jnl`	Is GPT4 a Good Trader? CoRR Bingzhe Wu
2023	J	`jnl`	Language Agents for Detecting Implicit Stereotypes in Text-to-image Models at Scale. CoRR Qichao Wang, Tian Bian, Yian Yin, Tingyang Xu, Hong Cheng, Helen M. Meng, Zibin Zheng, Liang Chen, Bingzhe Wu
2023	J	`jnl`	Lightweight Privacy-Preserving Federated Incremental Decision Trees. IEEE Trans. Serv. Comput. Zhaoyang Han, Chunpeng Ge, Bingzhe Wu, Zhe Liu
2023	A*	`conf`	Pareto Invariant Risk Minimization: Towards Mitigating the Optimization Dilemma in Out-of-Distribution Generalization. ICLR Yongqiang Chen, Kaiwen Zhou, Yatao Bian, Binghui Xie, Bingzhe Wu, Yonggang Zhang, Kaili Ma, Han Yang, Peilin Zhao, Bo Han, James Cheng
2023	A*	`conf`	Post-Training Quantization on Diffusion Models. CVPR Yuzhang Shang, Zhihang Yuan, Bin Xie, Bingzhe Wu, Yan Yan
2023	A*	`conf`	Privacy Matters: Vertical Federated Linear Contextual Bandits for Privacy Protected Recommendation. KDD Zeyu Cao, Zhipeng Liang, Bingzhe Wu, Shu Zhang, Hangyu Li, Ouyang Wen, Yu Rong, Peilin Zhao
2023	—	`conf`	PsyCoT: Psychological Questionnaire as Powerful Chain-of-Thought for Personality Detection. EMNLP (Findings) Tao Yang, Tianyuan Shi, Fanqi Wan, Xiaojun Quan, Qifan Wang, Bingzhe Wu, Jiaxiang Wu
2023	J	`jnl`	PsyCoT: Psychological Questionnaire as Powerful Chain-of-Thought for Personality Detection. CoRR Tao Yang, Tianyuan Shi, Fanqi Wan, Xiaojun Quan, Qifan Wang, Bingzhe Wu, Jiaxiang Wu
2023	—	`conf`	RECAL: Sample-Relation Guided Confidence Calibration over Tabular Data. EMNLP (Findings) Haotian Wang, Zhen Zhang, Mengting Hu, Qichao Wang, Liang Chen, Yatao Bian, Bingzhe Wu
2023	J	`jnl`	RPTQ: Reorder-based Post-training Quantization for Large Language Models. CoRR Zhihang Yuan, Lin Niu, Jiawei Liu, Wenyu Liu, Xinggang Wang, Yuzhang Shang, Guangyu Sun, Qiang Wu, Jiaxiang Wu, Bingzhe Wu
2023	J	`jnl`	Rethinking and Simplifying Bootstrapped Graph Latents. CoRR Wangbin Sun, Jintang Li, Liang Chen, Bingzhe Wu, Yatao Bian, Zibin Zheng
2023	J	`jnl`	Reweighted Mixup for Subpopulation Shift. CoRR Zongbo Han, Zhipeng Liang, Fan Yang, Liu Liu, Lanqing Li, Yatao Bian, Peilin Zhao, Qinghua Hu, Bingzhe Wu, Changqing Zhang, Jianhua Yao
2023	A	`conf`	SAILOR: Structural Augmentation Based Tail Node Representation Learning. CIKM Jie Liao, Jintang Li, Liang Chen, Bingzhe Wu, Yatao Bian, Zibin Zheng
2023	J	`jnl`	SAILOR: Structural Augmentation Based Tail Node Representation Learning. CoRR Jie Liao, Jintang Li, Liang Chen, Bingzhe Wu, Yatao Bian, Zibin Zheng
2023	J	`jnl`	SLPerf: a Unified Framework for Benchmarking Split Learning. CoRR Tianchen Zhou, Zhanyi Hu, Bingzhe Wu, Cen Chen
2023	J	`jnl`	Semantic Equivariant Mixup. CoRR Zongbo Han, Tianchi Xie, Bingzhe Wu, Qinghua Hu, Changqing Zhang
2023	J	`jnl`	Uncertainty in Natural Language Processing: Sources, Quantification, and Applications. CoRR Mengting Hu, Zhen Zhang, Shiwan Zhao, Minlie Huang, Bingzhe Wu
2023	J	`jnl`	VDC: Versatile Data Cleanser for Detecting Dirty Samples via Visual-Linguistic Inconsistency. CoRR Zihao Zhu, Mingda Zhang, Shaokui Wei, Bingzhe Wu, Baoyuan Wu
2023	J	`jnl`	X-Mark: Towards Lossless Watermarking Through Lexical Redundancy. CoRR Liang Chen, Yatao Bian, Yang Deng, Shuaiyi Li, Bingzhe Wu, Peilin Zhao, Kam-Fai Wong
2022	J	`jnl`	A Survey of Trustworthy Graph Learning: Reliability, Explainability, and Privacy Protection. CoRR Bingzhe Wu, Jintang Li, Junchi Yu, Yatao Bian, Hengtong Zhang, Chaochao Chen, Chengbin Hou, Guoji Fu, Liang Chen, Tingyang Xu, Yu Rong, Xiaolin Zheng, Junzhou Huang, Ran He, Baoyuan Wu, Guangyu Sun, Peng Cui, Zibin Zheng, Zhe Liu, Peilin Zhao
2022	J	`jnl`	DRFLM: Distributionally Robust Federated Learning with Inter-client Noise via Local Mixup. CoRR Bingzhe Wu, Zhipeng Liang, Yuxuan Han, Yatao Bian, Peilin Zhao, Junzhou Huang
2022	J	`jnl`	DrugOOD: Out-of-Distribution (OOD) Dataset Curator and Benchmark for AI-aided Drug Discovery - A Focus on Affinity Prediction Problems with Noise Annotations. CoRR Yuanfeng Ji, Lu Zhang, Jiaxiang Wu, Bingzhe Wu, Long-Kai Huang, Tingyang Xu, Yu Rong, Lanqing Li, Jie Ren, Ding Xue, Houtim Lai, Shaoyong Xu, Jing Feng, Wei Liu, Ping Luo, Shuigeng Zhou, Junzhou Huang, Peilin Zhao, Yatao Bian
2022	A*	`conf`	Enabling High-Quality Uncertainty Quantification in a PIM Designed for Bayesian Neural Network. HPCA 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	J	`jnl`	ImDrug: A Benchmark for Deep Imbalanced Learning in AI-aided Drug Discovery. CoRR Lanqing Li, Liang Zeng, Ziqi Gao, Shen Yuan, Yatao Bian, Bingzhe Wu, Hengtong Zhang, Chan Lu, Yang Yu, Wei Liu, Hongteng Xu, Jia Li, Peilin Zhao, Pheng-Ann Heng
2022	J	`jnl`	Learning with Noisy Labels over Imbalanced Subpopulations. CoRR Mingcai Chen, Yu Zhao, Bing He, Zongbo Han, Bingzhe Wu, Jianhua Yao
2022	J	`jnl`	Post-training Quantization on Diffusion Models. CoRR Yuzhang Shang, Zhihang Yuan, Bin Xie, Bingzhe Wu, Yan Yan
2022	J	`jnl`	Recent Advances in Reliable Deep Graph Learning: Adversarial Attack, Inherent Noise, and Distribution Shift. CoRR Bingzhe Wu, Jintang Li, Chengbin Hou, Guoji Fu, Yatao Bian, Liang Chen, Junzhou Huang
2022	J	`jnl`	Toward Scalable and Privacy-preserving Deep Neural Network via Algorithmic-Cryptographic Co-design. ACM Trans. Intell. Syst. Technol. Jun Zhou, Longfei Zheng, Chaochao Chen, Yan Wang, Xiaolin Zheng, Bingzhe Wu, Cen Chen, Li Wang, Jianwei Yin
2022	A*	`conf`	Trustworthy Graph Learning: Reliability, Explainability, and Privacy Protection. KDD Bingzhe Wu, Yatao Bian, Hengtong Zhang, Jintang Li, Junchi Yu, Liang Chen, Chaochao Chen, Junzhou Huang
2022	A*	`conf`	UMIX: Improving Importance Weighting for Subpopulation Shift via Uncertainty-Aware Mixup. NeurIPS Zongbo Han, Zhipeng Liang, Fan Yang, Liu Liu, Lanqing Li, Yatao Bian, Peilin Zhao, Bingzhe Wu, Changqing Zhang, Jianhua Yao
2022	J	`jnl`	UMIX: Improving Importance Weighting for Subpopulation Shift via Uncertainty-Aware Mixup. CoRR Zongbo Han, Zhipeng Liang, Fan Yang, Liu Liu, Lanqing Li, Yatao Bian, Peilin Zhao, Bingzhe Wu, Changqing Zhang, Jianhua Yao
2022	J	`jnl`	Vertical Federated Linear Contextual Bandits. CoRR Zeyu Cao, Zhipeng Liang, Shu Zhang, Hangyu Li, Ouyang Wen, Yu Rong, Peilin Zhao, Bingzhe Wu
2022	A*	`conf`	Vertically Federated Graph Neural Network for Privacy-Preserving Node Classification. IJCAI Chaochao Chen, Jun Zhou, Longfei Zheng, Huiwen Wu, Lingjuan Lyu, Jia Wu, Bingzhe Wu, Ziqi Liu, Li Wang, Xiaolin Zheng
2021	J	`jnl`	ASFGNN: Automated separated-federated graph neural network. Peer-to-Peer Netw. Appl. Longfei Zheng, Jun Zhou, Chaochao Chen, Bingzhe Wu, Li Wang, Benyu Zhang
2021	J	`jnl`	Generalization Bounds for Stochastic Gradient Langevin Dynamics: A Unified View via Information Leakage Analysis. CoRR Bingzhe Wu, Zhicong Liang, Yatao Bian, Chaochao Chen, Junzhou Huang, Yuan Yao
2021	A*	`conf`	HASCO: Towards Agile HArdware and Software CO-design for Tensor Computation. ISCA Qingcheng Xiao, Size Zheng, Bingzhe Wu, Pengcheng Xu, Xuehai Qian, Yun Liang
2021	J	`jnl`	HASCO: Towards Agile HArdware and Software CO-design for Tensor Computation. CoRR Qingcheng Xiao, Size Zheng, Bingzhe Wu, Pengcheng Xu, Xuehai Qian, Yun Liang
2021	J	`jnl`	NAS4RRAM: neural network architecture search for inference on RRAM-based accelerators. Sci. China Inf. Sci. Zhihang Yuan, Jingze Liu, Xingchen Li, Longhao Yan, Haoxiang Chen, Bingzhe Wu, Yuchao Yang, Guangyu Sun
2020	J	`jnl`	A Comprehensive Analysis of Information Leakage in Deep Transfer Learning. CoRR Cen Chen, Bingzhe Wu, Minghui Qiu, Li Wang, Jun Zhou
2020	J	`jnl`	ASFGNN: Automated Separated-Federated Graph Neural Network. CoRR Longfei Zheng, Jun Zhou, Chaochao Chen, Bingzhe Wu, Li Wang, Benyu Zhang
2020	—	`conf`	Automatic Knowledge Fusion in Transferrable Networks for Semantic Text Matching. WWW (Companion Volume) Cen Chen, Ya-Lin Zhang, Minghui Qiu, Bingzhe Wu, Li Wang, Longfei Li, Jun Zhou
2020	A*	`conf`	Characterizing Membership Privacy in Stochastic Gradient Langevin Dynamics. AAAI Bingzhe Wu, Chaochao Chen, Shiwan Zhao, Cen Chen, Yuan Yao, Guangyu Sun, Li Wang, Xiaolu Zhang, Jun Zhou
2020	J	`jnl`	ENAS4D: Efficient Multi-stage CNN Architecture Search for Dynamic Inference. CoRR Zhihang Yuan, Xin Liu, Bingzhe Wu, Guangyu Sun
2020	J	`jnl`	Industrial Scale Privacy Preserving Deep Neural Network. CoRR Longfei Zheng, Chaochao Chen, Yingting Liu, Bingzhe Wu, Xibin Wu, Li Wang, Lei Wang, Jun Zhou, Shuang Yang
2020	A	`conf`	Nebula: A Scalable Privacy-Preserving Machine Learning System in Ant Financial. CIKM Cen Chen, Bingzhe Wu, Li Wang, Chaochao Chen, Jin Tan, Lei Wang, Jun Zhou, Benyu Zhang
2020	J	`jnl`	Practical Privacy Preserving POI Recommendation. CoRR Chaochao Chen, Bingzhe Wu, Wenjin Fang, Jun Zhou, Li Wang, Yuan Qi, Xiaolin Zheng
2020	J	`jnl`	Practical Privacy Preserving POI Recommendation. ACM Trans. Intell. Syst. Technol. Chaochao Chen, Jun Zhou, Bingzhe Wu, Wenjing Fang, Li Wang, Yuan Qi, Xiaolin Zheng
2020	J	`jnl`	Privacy-Preserving Graph Neural Network for Node Classification. CoRR Jun Zhou, Chaochao Chen, Longfei Zheng, Xiaolin Zheng, Bingzhe Wu, Ziqi Liu, Li Wang
2020	—	`conf`	S2DNAS: Transforming Static CNN Model for Dynamic Inference via Neural Architecture Search. ECCV (2) Zhihang Yuan, Bingzhe Wu, Guangyu Sun, Zheng Liang, Shiwan Zhao, Weichen Bi
2020	J	`jnl`	S3ML: A Secure Serving System for Machine Learning Inference. CoRR Junming Ma, Chaofan Yu, Aihui Zhou, Bingzhe Wu, Xibin Wu, Xingyu Chen, Xiangqun Chen, Lei Wang, Donggang Cao
2020	—	`conf`	SaFace: Towards Scenario-aware Face Recognition via Edge Computing System. HotEdge Zhe Zhou, Bingzhe Wu, Zheng Liang, Guangyu Sun, Chenren Xu, Guojie Luo
2020	A	`conf`	Secure Social Recommendation Based on Secret Sharing. ECAI Chaochao Chen, Liang Li, Bingzhe Wu, Cheng Hong, Li Wang, Jun Zhou
2020	J	`jnl`	Secure Social Recommendation based on Secret Sharing. CoRR Chaochao Chen, Liang Li, Bingzhe Wu, Cheng Hong, Li Wang, Jun Zhou
2020	J	`jnl`	Towards Scalable and Privacy-Preserving Deep Neural Network via Algorithmic-Cryptographic Co-design. CoRR Chaochao Chen, Jun Zhou, Longfei Zheng, Yan Wang, Xiaolin Zheng, Bingzhe Wu, Cen Chen, Li Wang, Jianwei Yin
2019	A*	`conf`	BAYHENN: Combining Bayesian Deep Learning and Homomorphic Encryption for Secure DNN Inference. IJCAI Peichen Xie, Bingzhe Wu, Guangyu Sun
2019	J	`jnl`	BAYHENN: Combining Bayesian Deep Learning and Homomorphic Encryption for Secure DNN Inference. CoRR Peichen Xie, Bingzhe Wu, Guangyu Sun
2019	J	`jnl`	Characterizing Membership Privacy in Stochastic Gradient Langevin Dynamics. CoRR Bingzhe Wu, Chaochao Chen, Shiwan Zhao, Cen Chen, Yuan Yao, Guangyu Sun, Li Wang, Xiaolu Zhang, Jun Zhou
2019	A*	`conf`	G2C: A Generator-to-Classifier Framework Integrating Multi-Stained Visual Cues for Pathological Glomerulus Classification. AAAI Bingzhe Wu, Xiaolu Zhang, Shiwan Zhao, Lingxi Xie, Caihong Zeng, Zhihong Liu, Guangyu Sun
2019	A*	`conf`	Generalization in Generative Adversarial Networks: A Novel Perspective from Privacy Protection. NeurIPS Bingzhe Wu, Shiwan Zhao, Chaochao Chen, Haoyang Xu, Li Wang, Xiaolu Zhang, Guangyu Sun, Jun Zhou
2019	J	`jnl`	Generalization in Generative Adversarial Networks: A Novel Perspective from Privacy Protection. CoRR Bingzhe Wu, Shiwan Zhao, Haoyang Xu, Chaochao Chen, Li Wang, Xiaolu Zhang, Guangyu Sun, Jun Zhou
2019	A*	`conf`	P3SGD: Patient Privacy Preserving SGD for Regularizing Deep CNNs in Pathological Image Classification. CVPR Bingzhe Wu, Shiwan Zhao, Guangyu Sun, Xiaolu Zhang, Zhong Su, Caihong Zeng, Zhihong Liu
2019	J	`jnl`	P3SGD: Patient Privacy Preserving SGD for Regularizing Deep CNNs in Pathological Image Classification. CoRR Bingzhe Wu, Shiwan Zhao, Guangyu Sun, Xiaolu Zhang, Zhong Su, Caihong Zeng, Zhihong Liu
2019	J	`jnl`	S2DNAS: Transforming Static CNN Model for Dynamic Inference via Neural Architecture Search. CoRR Zhihang Yuan, Bingzhe Wu, Zheng Liang, Shiwan Zhao, Weichen Bi, Guangyu Sun
2018	J	`jnl`	G2C: A Generator-to-Classifier Framework Integrating Multi-Stained Visual Cues for Pathological Glomerulus Classification. CoRR Bingzhe Wu, Xiaolu Zhang, Shiwan Zhao, Lingxi Xie, Caihong Zeng, Zhihong Liu, Guangyu Sun
2017	—	`conf`	Reducing Overfitting in Deep Convolutional Neural Networks Using Redundancy Regularizer. ICANN (2) Bingzhe Wu, Zhichao Liu, Zhihang Yuan, Guangyu Sun, Charles Wu
2017	J	`jnl`	SRPGAN: Perceptual Generative Adversarial Network for Single Image Super Resolution. CoRR Bingzhe Wu, Haodong Duan, Zhichao Liu, Guangyu Sun