default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDMengnan Du
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j16]Yingji Li
, Mengnan Du, Rui Song, Xin Wang, Mingchen Sun, Ying Wang:
Mitigating social biases of pre-trained language models via contrastive self-debiasing with double data augmentation. Artif. Intell. 332: 104143 (2024)- [j15]Mengnan Du, Fengxiang He, Na Zou, Dacheng Tao, Xia Hu:
Shortcut Learning of Large Language Models in Natural Language Understanding. Commun. ACM 67(1): 110-120 (2024) - [j14]Huiqi Deng, Na Zou, Mengnan Du, Weifu Chen, Guocan Feng, Ziwei Yang, Zheyang Li, Quanshi Zhang:
Unifying Fourteen Post-Hoc Attribution Methods With Taylor Interactions. IEEE Trans. Pattern Anal. Mach. Intell. 46(7): 4625-4640 (2024) - [j13]Haiyan Zhao, Hanjie Chen, Fan Yang, Ninghao Liu, Huiqi Deng, Hengyi Cai, Shuaiqiang Wang, Dawei Yin, Mengnan Du:
Explainability for Large Language Models: A Survey. ACM Trans. Intell. Syst. Technol. 15(2): 20:1-20:38 (2024) - [c48]Mingyu Jin, Qinkai Yu, Dong Shu, Haiyan Zhao, Wenyue Hua, Yanda Meng, Yongfeng Zhang, Mengnan Du:
The Impact of Reasoning Step Length on Large Language Models. ACL (Findings) 2024: 1830-1842 - [c47]Yingji Li, Mengnan Du, Rui Song, Xin Wang, Ying Wang:
Data-Centric Explainable Debiasing for Improving Fairness in Pre-trained Language Models. ACL (Findings) 2024: 3773-3786 - [c46]Jingyu Hu, Jun Hong, Mengnan Du, Weiru Liu:
ProxiMix: Enhancing Fairness with Proximity Samples in Subgroups. AEQUITAS@ECAI 2024 - [c45]Zirui He, Huiqi Deng, Haiyan Zhao, Ninghao Liu, Mengnan Du:
Mitigating Shortcuts in Language Models with Soft Label Encoding. LREC/COLING 2024: 11341-11348 - [c44]Zhiming Li, Yanzhou Li, Tianlin Li, Mengnan Du, Bozhi Wu, Yushi Cao, Junzhe Jiang, Yang Liu:
Unveiling Project-Specific Bias in Neural Code Models. LREC/COLING 2024: 17205-17216 - [c43]Jingyu Hu, Mengnan Du:
Enhancing Fairness in In-Context Learning: Prioritizing Minority Samples in Demonstrations. Tiny Papers @ ICLR 2024 - [c42]Zichuan Liu, Yingying Zhang, Tianchun Wang, Zefan Wang, Dongsheng Luo, Mengnan Du, Min Wu, Yi Wang, Chunlin Chen, Lunting Fan, Qingsong Wen:
Explaining Time Series via Contrastive and Locally Sparse Perturbations. ICLR 2024 - [c41]Guanchu Wang, Yu-Neng Chuang, Fan Yang, Mengnan Du, Chia-Yuan Chang, Shaochen Zhong, Zirui Liu, Zhaozhuo Xu, Kaixiong Zhou, Xuanting Cai, Xia Hu:
TVE: Learning Meta-attribution for Transferable Vision Explainer. ICML 2024 - [c40]Ruixiang Tang, Yu-Neng Chuang, Xuanting Cai, Mengnan Du, Xia Hu:
Secure Your Model: An Effective Key Prompt Protection Mechanism for Large Language Models. NAACL-HLT (Findings) 2024: 4061-4073 - [c39]Fengxiang He, Mengnan Du, Aris Filos-Ratsikas, Lu Cheng, Qingquan Song, Min Lin, John Vines:
AI Driven Online Advertising: Market Design, Generative AI, and Ethics. WWW (Companion Volume) 2024: 1407-1409 - [i70]Haoyi Xiong, Xuhong Li, Xiaofei Zhang, Jiamin Chen, Xinhao Sun, Yuchen Li, Zeyi Sun, Mengnan Du:
Towards Explainable Artificial Intelligence (XAI): A Data Mining Perspective. CoRR abs/2401.04374 (2024) - [i69]Mingyu Jin, Qinkai Yu, Dong Shu, Haiyan Zhao, Wenyue Hua, Yanda Meng, Yongfeng Zhang, Mengnan Du:
The Impact of Reasoning Step Length on Large Language Models. CoRR abs/2401.04925 (2024) - [i68]Jiamin Chen, Xuhong Li, Yanwu Xu, Mengnan Du, Haoyi Xiong:
Explanations of Classifiers Enhance Medical Image Segmentation via End-to-end Pre-training. CoRR abs/2401.08469 (2024) - [i67]Zichuan Liu, Yingying Zhang, Tianchun Wang, Zefan Wang, Dongsheng Luo, Mengnan Du, Min Wu, Yi Wang, Chunlin Chen, Lunting Fan, Qingsong Wen:
Explaining Time Series via Contrastive and Locally Sparse Perturbations. CoRR abs/2401.08552 (2024) - [i66]Junyi Ye, Mengnan Du, Guiling Wang:
DataFrame QA: A Universal LLM Framework on DataFrame Question Answering Without Data Exposure. CoRR abs/2401.15463 (2024) - [i65]Mingyu Jin, Qinkai Yu, Dong Shu, Chong Zhang, Lizhou Fan, Wenyue Hua, Suiyuan Zhu, Yanda Meng, Zhenting Wang, Mengnan Du, Yongfeng Zhang, Yanda Meng:
Health-LLM: Personalized Retrieval-Augmented Disease Prediction System. CoRR abs/2402.00746 (2024) - [i64]Yu-Neng Chuang, Guanchu Wang, Chia-Yuan Chang, Ruixiang Tang, Fan Yang, Mengnan Du, Xuanting Cai, Xia Hu:
Large Language Models As Faithful Explainers. CoRR abs/2402.04678 (2024) - [i63]Haiyan Zhao, Fan Yang, Himabindu Lakkaraju, Mengnan Du:
Opening the Black Box of Large Language Models: Two Views on Holistic Interpretability. CoRR abs/2402.10688 (2024) - [i62]Mingyu Jin, Hua Tang, Chong Zhang, Qinkai Yu, Chengzhi Liu, Suiyuan Zhu, Yongfeng Zhang, Mengnan Du:
Time Series Forecasting with LLMs: Understanding and Enhancing Model Capabilities. CoRR abs/2402.10835 (2024) - [i61]Mingyu Jin, Beichen Wang, Zhaoqian Xue, Suiyuan Zhu, Wenyue Hua, Hua Tang, Kai Mei, Mengnan Du, Yongfeng Zhang:
What if LLMs Have Different World Views: Simulating Alien Civilizations with LLM-based Agents. CoRR abs/2402.13184 (2024) - [i60]Dong Shu, Tianle Chen, Mingyu Jin, Yiting Zhang, Chong Zhang, Mengnan Du, Yongfeng Zhang:
Knowledge Graph Large Language Model (KG-LLM) for Link Prediction. CoRR abs/2403.07311 (2024) - [i59]Xuansheng Wu, Haiyan Zhao, Yaochen Zhu, Yucheng Shi, Fan Yang, Tianming Liu, Xiaoming Zhai, Wenlin Yao, Jundong Li, Mengnan Du, Ninghao Liu:
Usable XAI: 10 Strategies Towards Exploiting Explainability in the LLM Era. CoRR abs/2403.08946 (2024) - [i58]Mingyu Jin, Qinkai Yu, Jingyuan Huang, Qingcheng Zeng, Zhenting Wang, Wenyue Hua, Haiyan Zhao, Kai Mei, Yanda Meng, Kaize Ding, Fan Yang, Mengnan Du, Yongfeng Zhang:
Exploring Concept Depth: How Large Language Models Acquire Knowledge at Different Layers? CoRR abs/2404.07066 (2024) - [i57]Zihao Li, Yucheng Shi, Zirui Liu, Fan Yang, Ninghao Liu, Mengnan Du:
Quantifying Multilingual Performance of Large Language Models Across Languages. CoRR abs/2404.11553 (2024) - [i56]Mingyu Jin, Haochen Xue, Zhenting Wang, Boming Kang, Ruosong Ye, Kaixiong Zhou, Mengnan Du, Yongfeng Zhang:
ProLLM: Protein Chain-of-Thoughts Enhanced LLM for Protein-Protein Interaction Prediction. CoRR abs/2405.06649 (2024) - [i55]Yutao Du, Qin Li, Raghav Gnanasambandam, Mengnan Du, Haimin Wang, Bo Shen:
Neural Operator for Accelerating Coronal Magnetic Field Model. CoRR abs/2405.12754 (2024) - [i54]Hanrong Zhang, Zhenting Wang, Tingxu Han, Mingyu Jin, Chenlu Zhan, Mengnan Du, Hongwei Wang, Shiqing Ma:
Towards Imperceptible Backdoor Attack in Self-supervised Learning. CoRR abs/2405.14672 (2024) - [i53]Haoyi Xiong, Jiang Bian, Yuchen Li, Xuhong Li, Mengnan Du, Shuaiqiang Wang, Dawei Yin, Sumi Helal:
When Search Engine Services meet Large Language Models: Visions and Challenges. CoRR abs/2407.00128 (2024) - [i52]Chong Zhang, Xinyi Liu, Mingyu Jin, Zhongmou Zhang, Lingyao Li, Zhenting Wang, Wenyue Hua, Dong Shu, Suiyuan Zhu, Xiaobo Jin, Sujian Li, Mengnan Du, Yongfeng Zhang:
When AI Meets Finance (StockAgent): Large Language Model-based Stock Trading in Simulated Real-world Environments. CoRR abs/2407.18957 (2024) - [i51]Dong Shu, Haoran Zhao, Xukun Liu, David Demeter, Mengnan Du, Yongfeng Zhang:
LawLLM: Law Large Language Model for the US Legal System. CoRR abs/2407.21065 (2024) - [i50]Jingyu Hu, Weiru Liu, Mengnan Du:
Strategic Demonstration Selection for Improved Fairness in LLM In-Context Learning. CoRR abs/2408.09757 (2024) - [i49]Bo Shen, Marco Marena, Chenyang Li, Qin Li, Haodi Jiang, Mengnan Du, Jiajun Xu, Haimin Wang:
Deep Computer Vision for Solar Physics Big Data: Opportunities and Challenges. CoRR abs/2409.04850 (2024) - [i48]Zhenting Wang, Zhizhi Wang, Mingyu Jin, Mengnan Du, Juan Zhai, Shiqing Ma:
Data-centric NLP Backdoor Defense from the Lens of Memorization. CoRR abs/2409.14200 (2024) - [i47]Daoyang Li, Mingyu Jin, Qingcheng Zeng, Haiyan Zhao, Mengnan Du:
Exploring Multilingual Probing in Large Language Models: A Cross-Language Analysis. CoRR abs/2409.14459 (2024) - [i46]Haiyan Zhao, Heng Zhao, Bo Shen, Ali Payani, Fan Yang, Mengnan Du:
Beyond Single Concept Vector: Modeling Concept Subspace in LLMs with Gaussian Distribution. CoRR abs/2410.00153 (2024) - [i45]Jingyu Hu, Jun Hong, Mengnan Du, Weiru Liu:
ProxiMix: Enhancing Fairness with Proximity Samples in Subgroups. CoRR abs/2410.01145 (2024) - 2023
- [c38]Yingji Li, Mengnan Du, Xin Wang, Ying Wang:
Prompt Tuning Pushes Farther, Contrastive Learning Pulls Closer: A Two-Stage Approach to Mitigate Social Biases. ACL (1) 2023: 14254-14267 - [c37]Zihan Guan, Lichao Sun, Mengnan Du, Ninghao Liu:
Attacking Neural Networks with Neural Networks: Towards Deep Synchronization for Backdoor Attacks. CIKM 2023: 608-618 - [c36]Ruixiang Tang, Hongye Jin, Mengnan Du, Curtis Wigington, Rajiv Jain, Xia Hu:
Exposing Model Theft: A Robust and Transferable Watermark for Thwarting Model Extraction Attacks. CIKM 2023: 4315-4319 - [c35]Mengnan Du, Subhabrata Mukherjee, Yu Cheng, Milad Shokouhi, Xia Hu, Ahmed Hassan Awadallah:
Robustness Challenges in Model Distillation and Pruning for Natural Language Understanding. EACL 2023: 1758-1770 - [c34]Zihan Guan, Mengnan Du, Ninghao Liu:
XGBD: Explanation-Guided Graph Backdoor Detection. ECAI 2023: 932-939 - [c33]Yezi Liu, Qinggang Zhang, Mengnan Du, Xiao Huang, Xia Hu:
Error Detection on Knowledge Graphs with Triple Embedding. EUSIPCO 2023: 1604-1608 - [c32]Tianlin Li, Qing Guo, Aishan Liu, Mengnan Du, Zhiming Li, Yang Liu:
FAIRER: Fairness as Decision Rationale Alignment. ICML 2023: 19471-19489 - [c31]Tianlin Li, Zhiming Li, Anran Li, Mengnan Du, Aishan Liu, Qing Guo, Guozhu Meng, Yang Liu:
Fairness via Group Contribution Matching. IJCAI 2023: 436-445 - [c30]Xuhong Li, Mengnan Du, Jiamin Chen, Yekun Chai, Himabindu Lakkaraju, Haoyi Xiong:
M4: A Unified XAI Benchmark for Faithfulness Evaluation of Feature Attribution Methods across Metrics, Modalities and Models. NeurIPS 2023 - [c29]Yucheng Shi, Mengnan Du, Xuansheng Wu, Zihan Guan, Jin Sun, Ninghao Liu:
Black-box Backdoor Defense via Zero-shot Image Purification. NeurIPS 2023 - [c28]Ruixiang Tang, Mengnan Du, Xia Hu:
Deep Serial Number: Computational Watermark for DNN Intellectual Property Protection. ECML/PKDD (6) 2023: 157-173 - [c27]Guanchu Wang, Mengnan Du, Ninghao Liu, Na Zou, Xia Ben Hu:
Mitigating Algorithmic Bias with Limited Annotations. ECML/PKDD (2) 2023: 241-258 - [c26]Thinh On, Subhodeep Ghosh, Mengnan Du, Senjuti Basu Roy:
Proportionate Diversification of Top-k LLM Results using Database Queries. VLDB Workshops 2023 - [i44]Yu-Neng Chuang, Guanchu Wang, Fan Yang, Zirui Liu, Xuanting Cai, Mengnan Du, Xia Ben Hu:
Efficient XAI Techniques: A Taxonomic Survey. CoRR abs/2302.03225 (2023) - [i43]Huiqi Deng, Na Zou, Mengnan Du, Weifu Chen, Guocan Feng, Ziwei Yang, Zheyang Li, Quanshi Zhang:
Understanding and Unifying Fourteen Attribution Methods with Taylor Interactions. CoRR abs/2303.01506 (2023) - [i42]Yucheng Shi, Mengnan Du, Xuansheng Wu, Zihan Guan, Ninghao Liu:
Black-box Backdoor Defense via Zero-shot Image Purification. CoRR abs/2303.12175 (2023) - [i41]Qizhang Feng, Ninghao Liu, Fan Yang, Ruixiang Tang, Mengnan Du, Xia Hu:
DEGREE: Decomposition Based Explanation For Graph Neural Networks. CoRR abs/2305.12895 (2023) - [i40]Tianlin Li, Qing Guo, Aishan Liu, Mengnan Du, Zhiming Li, Yang Liu:
FAIRER: Fairness as Decision Rationale Alignment. CoRR abs/2306.15299 (2023) - [i39]Yingji Li, Mengnan Du, Xin Wang, Ying Wang:
Prompt Tuning Pushes Farther, Contrastive Learning Pulls Closer: A Two-Stage Approach to Mitigate Social Biases. CoRR abs/2307.01595 (2023) - [i38]Chia-Yuan Chang, Yu-Neng Chuang, Guanchu Wang, Mengnan Du, Zou Na:
DISPEL: Domain Generalization via Domain-Specific Liberating. CoRR abs/2307.07181 (2023) - [i37]Zihan Guan, Mengnan Du, Ninghao Liu:
XGBD: Explanation-Guided Graph Backdoor Detection. CoRR abs/2308.04406 (2023) - [i36]Yingji Li, Mengnan Du, Rui Song, Xin Wang, Ying Wang:
A Survey on Fairness in Large Language Models. CoRR abs/2308.10149 (2023) - [i35]Haiyan Zhao, Hanjie Chen, Fan Yang, Ninghao Liu, Huiqi Deng, Hengyi Cai, Shuaiqiang Wang, Dawei Yin, Mengnan Du:
Explainability for Large Language Models: A Survey. CoRR abs/2309.01029 (2023) - [i34]Zhihao Hu, Yiran Xu, Mengnan Du, Jindong Gu, Xinmei Tian, Fengxiang He:
Boosting Fair Classifier Generalization through Adaptive Priority Reweighing. CoRR abs/2309.08375 (2023) - [i33]Zirui He, Huiqi Deng, Haiyan Zhao, Ninghao Liu, Mengnan Du:
Mitigating Shortcuts in Language Models with Soft Label Encoding. CoRR abs/2309.09380 (2023) - [i32]Hua Tang, Lu Cheng, Ninghao Liu, Mengnan Du:
A Theoretical Approach to Characterize the Accuracy-Fairness Trade-off Pareto Frontier. CoRR abs/2310.12785 (2023) - [i31]Guanchu Wang, Yu-Neng Chuang, Fan Yang, Mengnan Du, Chia-Yuan Chang, Shaochen Zhong, Zirui Liu, Zhaozhuo Xu, Kaixiong Zhou, Xuanting Cai, Xia Hu:
LETA: Learning Transferable Attribution for Generic Vision Explainer. CoRR abs/2312.15359 (2023) - 2022
- [j12]Weijie Fu, Meng Wang, Mengnan Du, Ninghao Liu, Shijie Hao, Xia Hu:
Differentiated Explanation of Deep Neural Networks With Skewed Distributions. IEEE Trans. Pattern Anal. Mach. Intell. 44(6): 2909-2922 (2022) - [j11]Fangsheng Wu, Mengnan Du, Chao Fan, Ruixiang Tang, Yang Yang, Ali Mostafavi, Xia Hu:
Understanding Social Biases Behind Location Names in Contextual Word Embedding Models. IEEE Trans. Comput. Soc. Syst. 9(2): 458-468 (2022) - [j10]Yijun Bian, Qingquan Song, Mengnan Du, Jun Yao, Huanhuan Chen, Xia Hu:
Subarchitecture Ensemble Pruning in Neural Architecture Search. IEEE Trans. Neural Networks Learn. Syst. 33(12): 7928-7936 (2022) - [c25]Mengnan Du, Ruixiang Tang, Weijie Fu, Xia Hu:
Towards Debiasing DNN Models from Spurious Feature Influence. AAAI 2022: 9521-9528 - [c24]Qizhang Feng, Ninghao Liu, Fan Yang, Ruixiang Tang, Mengnan Du, Xia Hu:
DEGREE: Decomposition Based Explanation for Graph Neural Networks. ICLR 2022 - [c23]Guanchu Wang, Yu-Neng Chuang, Mengnan Du, Fan Yang, Quan Zhou, Pushkar Tripathi, Xuanting Cai, Xia Ben Hu:
Accelerating Shapley Explanation via Contributive Cooperator Selection. ICML 2022: 22576-22590 - [c22]Yuening Li, Zhengzhang Chen, Daochen Zha, Mengnan Du, Jingchao Ni, Denghui Zhang, Haifeng Chen, Xia Hu:
Towards Learning Disentangled Representations for Time Series. KDD 2022: 3270-3278 - [i30]Zhiming Li, Yanzhou Li, Tianlin Li, Mengnan Du, Bozhi Wu, Yushi Cao, Xiaofei Xie, Yi Li, Yang Liu:
Unveiling Project-Specific Bias in Neural Code Models. CoRR abs/2201.07381 (2022) - [i29]Guanchu Wang, Yu-Neng Chuang, Mengnan Du, Fan Yang, Quan Zhou, Pushkar Tripathi, Xuanting Cai, Xia Ben Hu:
Accelerating Shapley Explanation via Contributive Cooperator Selection. CoRR abs/2206.08529 (2022) - [i28]Qizhang Feng, Mengnan Du, Na Zou, Xia Hu:
Fair Machine Learning in Healthcare: A Review. CoRR abs/2206.14397 (2022) - [i27]Guanchu Wang, Mengnan Du, Ninghao Liu, Na Zou, Xia Ben Hu:
Mitigating Algorithmic Bias with Limited Annotations. CoRR abs/2207.10018 (2022) - [i26]Mengnan Du, Fengxiang He, Na Zou, Dacheng Tao, Xia Hu:
Shortcut Learning of Large Language Models in Natural Language Understanding: A Survey. CoRR abs/2208.11857 (2022) - [i25]Yu-Neng Chuang, Kwei-Herng Lai, Ruixiang Tang, Mengnan Du, Chia-Yuan Chang, Na Zou, Xia Hu:
Mitigating Relational Bias on Knowledge Graphs. CoRR abs/2211.14489 (2022) - 2021
- [j9]Mengnan Du, Fan Yang, Na Zou, Xia Hu:
Fairness in Deep Learning: A Computational Perspective. IEEE Intell. Syst. 36(4): 25-34 (2021) - [j8]Mengnan Du, Ninghao Liu, Fan Yang, Xia Hu:
Learning credible DNNs via incorporating prior knowledge and model local explanation. Knowl. Inf. Syst. 63(2): 305-332 (2021) - [j7]Fan Yang, Ninghao Liu, Mengnan Du, Xia Hu:
Generative Counterfactuals for Neural Networks via Attribute-Informed Perturbation. SIGKDD Explor. 23(1): 59-68 (2021) - [j6]Ninghao Liu, Mengnan Du, Ruocheng Guo, Huan Liu, Xia Hu:
Adversarial Attacks and Defenses: An Interpretation Perspective. SIGKDD Explor. 23(1): 86-99 (2021) - [c21]Huiqi Deng, Na Zou, Mengnan Du, Weifu Chen, Guocan Feng, Xia Hu:
A Unified Taylor Framework for Revisiting Attribution Methods. AAAI 2021: 11462-11469 - [c20]Sina Mohseni, Fan Yang, Shiva K. Pentyala, Mengnan Du, Yi Liu, Nic Lupfer, Xia Hu, Shuiwang Ji, Eric D. Ragan:
Machine Learning Explanations to Prevent Overtrust in Fake News Detection. ICWSM 2021: 421-431 - [c19]Xu Duan, Jingzheng Wu, Mengnan Du, Tianyue Luo, Mutian Yang, Yanjun Wu:
MultiCode: A Unified Code Analysis Framework based on Multi-type and Multi-granularity Semantic Learning. ISSRE Workshops 2021: 359-364 - [c18]Huiqi Deng, Na Zou, Weifu Chen, Guocan Feng, Mengnan Du, Xia Hu:
Mutual Information Preserving Back-propagation: Learn to Invert for Faithful Attribution. KDD 2021: 258-268 - [c17]Mengnan Du, Varun Manjunatha, Rajiv Jain, Ruchi Deshpande, Franck Dernoncourt, Jiuxiang Gu, Tong Sun, Xia Hu:
Towards Interpreting and Mitigating Shortcut Learning Behavior of NLU models. NAACL-HLT 2021: 915-929 - [c16]Mengnan Du, Subhabrata Mukherjee, Guanchu Wang, Ruixiang Tang, Ahmed Hassan Awadallah, Xia Ben Hu:
Fairness via Representation Neutralization. NeurIPS 2021: 12091-12103 - [c15]Ruixiang Tang, Mengnan Du, Yuening Li, Zirui Liu, Na Zou, Xia Hu:
Mitigating Gender Bias in Captioning Systems. WWW 2021: 633-645 - [i24]Fan Yang, Ninghao Liu, Mengnan Du, Xia Hu:
Generative Counterfactuals for Neural Networks via Attribute-Informed Perturbation. CoRR abs/2101.06930 (2021) - [i23]Mengnan Du, Varun Manjunatha, Rajiv Jain, Ruchi Deshpande, Franck Dernoncourt, Jiuxiang Gu, Tong Sun, Xia Hu:
Towards Interpreting and Mitigating Shortcut Learning Behavior of NLU models. CoRR abs/2103.06922 (2021) - [i22]Huiqi Deng, Na Zou, Weifu Chen, Guocan Feng, Mengnan Du, Xia Hu:
Mutual Information Preserving Back-propagation: Learn to Invert for Faithful Attribution. CoRR abs/2104.06629 (2021) - [i21]Yuening Li, Zhengzhang Chen, Daochen Zha, Mengnan Du, Denghui Zhang, Haifeng Chen, Xia Hu:
Learning Disentangled Representations for Time Series. CoRR abs/2105.08179 (2021) - [i20]Mengnan Du, Subhabrata Mukherjee, Guanchu Wang, Ruixiang Tang, Ahmed Hassan Awadallah, Xia Ben Hu:
Fairness via Representation Neutralization. CoRR abs/2106.12674 (2021) - [i19]Mengnan Du, Subhabrata Mukherjee, Yu Cheng, Milad Shokouhi, Xia Hu, Ahmed Hassan Awadallah:
What do Compressed Large Language Models Forget? Robustness Challenges in Model Compression. CoRR abs/2110.08419 (2021) - 2020
- [j5]Mengnan Du, Ninghao Liu, Xia Hu:
Techniques for interpretable machine learning. Commun. ACM 63(1): 68-77 (2020) - [j4]Nur Hafieza Ismail, Ninghao Liu, Mengnan Du, Zhe He, Xia Hu:
A deep learning approach for identifying cancer survivors living with post-traumatic stress disorder on Twitter. BMC Medical Informatics Decis. Mak. 20-S(4): 254 (2020) - [c14]Mengnan Du, Shiva K. Pentyala, Yuening Li, Xia Hu:
Towards Generalizable Deepfake Detection with Locality-aware AutoEncoder. CIKM 2020: 325-334 - [c13]Haofan Wang, Zifan Wang, Mengnan Du, Fan Yang, Zijian Zhang, Sirui Ding, Piotr Mardziel, Xia Hu:
Score-CAM: Score-Weighted Visual Explanations for Convolutional Neural Networks. CVPR Workshops 2020: 111-119 - [c12]Ruixiang Tang, Mengnan Du, Ninghao Liu, Fan Yang, Xia Hu:
An Embarrassingly Simple Approach for Trojan Attack in Deep Neural Networks. KDD 2020: 218-228 - [c11]Fan Yang, Ninghao Liu, Mengnan Du, Kaixiong Zhou, Shuiwang Ji, Xia Hu:
Deep Neural Networks with Knowledge Instillation. SDM 2020: 370-378 - [i18]Ninghao Liu, Mengnan Du, Xia Hu:
Adversarial Machine Learning: An Interpretation Perspective. CoRR abs/2004.11488 (2020) - [i17]Ruixiang Tang, Mengnan Du, Ninghao Liu, Fan Yang, Xia Hu:
An Embarrassingly Simple Approach for Trojan Attack in Deep Neural Networks. CoRR abs/2006.08131 (2020) - [i16]Ruixiang Tang, Mengnan Du, Yuening Li, Zirui Liu, Xia Hu:
Mitigating Gender Bias in Captioning Systems. CoRR abs/2006.08315 (2020) - [i15]Sina Mohseni, Fan Yang, Shiva K. Pentyala, Mengnan Du, Yi Liu, Nic Lupfer, Xia Hu, Shuiwang Ji, Eric D. Ragan:
Machine Learning Explanations to Prevent Overtrust in Fake News Detection. CoRR abs/2007.12358 (2020) - [i14]Huiqi Deng, Na Zou, Mengnan Du, Weifu Chen, Guocan Feng, Xia Hu:
A Unified Taylor Framework for Revisiting Attribution Methods. CoRR abs/2008.09695 (2020) - [i13]Ruixiang Tang, Mengnan Du, Xia Hu:
Deep Serial Number: Computational Watermarking for DNN Intellectual Property Protection. CoRR abs/2011.08960 (2020)
2010 – 2019
- 2019
- [c10]Nur Hafieza Ismail, Mengnan Du, Diego Martinez, Zhe He:
Multivariate Multi-step Deep Learning Time Series Approach in Forecasting Parkinson's Disease Future Severity Progression. BCB 2019: 383-389 - [c9]Yuening Li, Xiao Huang, Jundong Li, Mengnan Du, Na Zou:
SpecAE: Spectral AutoEncoder for Anomaly Detection in Attributed Networks. CIKM 2019: 2233-2236 - [c8]Mengnan Du, Ninghao Liu, Fan Yang, Xia Hu:
Learning Credible Deep Neural Networks with Rationale Regularization. ICDM 2019: 150-159 - [c7]Yuening Li, Ninghao Liu, Jundong Li, Mengnan Du, Xia Hu:
Deep Structured Cross-Modal Anomaly Detection. IJCNN 2019: 1-8 - [c6]Nur Hafieza Ismail, Ninghao Liu, Mengnan Du, Zhe He, Xia Hu:
Identification of Cancer Survivors Living with PTSD on Social Media. MedInfo 2019: 1468-1469 - [c5]Nur Hafieza Ismail, Ninghao Liu, Mengnan Du, Zhe He, Xia Hu:
Using Deep Neural Network to Identify Cancer Survivors Living with Post-Traumatic Stress Disorder on Social Media. SEPDA@ISWC 2019: 48-52 - [c4]Ninghao Liu, Mengnan Du, Xia Hu:
Representation Interpretation with Spatial Encoding and Multimodal Analytics. WSDM 2019: 60-68 - [c3]Mengnan Du, Ninghao Liu, Fan Yang, Shuiwang Ji, Xia Hu:
On Attribution of Recurrent Neural Network Predictions via Additive Decomposition. WWW 2019: 383-393 - [c2]Fan Yang, Shiva K. Pentyala, Sina Mohseni, Mengnan Du, Hao Yuan, Rhema Linder, Eric D. Ragan, Shuiwang Ji, Xia (Ben) Hu:
XFake: Explainable Fake News Detector with Visualizations. WWW 2019: 3600-3604 - [i12]Mengnan Du, Ninghao Liu, Fan Yang, Shuiwang Ji, Xia Hu:
On Attribution of Recurrent Neural Network Predictions via Additive Decomposition. CoRR abs/1903.11245 (2019) - [i11]Fan Yang, Mengnan Du, Xia Hu:
Evaluating Explanation Without Ground Truth in Interpretable Machine Learning. CoRR abs/1907.06831 (2019) - [i10]Fan Yang, Shiva K. Pentyala, Sina Mohseni, Mengnan Du, Hao Yuan, Rhema Linder, Eric D. Ragan, Shuiwang Ji, Xia (Ben) Hu:
XFake: Explainable Fake News Detector with Visualizations. CoRR abs/1907.07757 (2019) - [i9]Yuening Li, Ninghao Liu, Jundong Li, Mengnan Du, Xia Hu:
Deep Structured Cross-Modal Anomaly Detection. CoRR abs/1908.03848 (2019) - [i8]Yuening Li, Xiao Huang, Jundong Li, Mengnan Du, Na Zou:
SpecAE: Spectral AutoEncoder for Anomaly Detection in Attributed Networks. CoRR abs/1908.03849 (2019) - [i7]Mengnan Du, Ninghao Liu, Fan Yang, Xia Hu:
Learning Credible Deep Neural Networks with Rationale Regularization. CoRR abs/1908.05601 (2019) - [i6]Mengnan Du, Fan Yang, Na Zou, Xia Hu:
Fairness in Deep Learning: A Computational Perspective. CoRR abs/1908.08843 (2019) - [i5]Mengnan Du, Shiva K. Pentyala, Yuening Li, Xia Hu:
Towards Generalizable Forgery Detection with Locality-aware AutoEncoder. CoRR abs/1909.05999 (2019) - [i4]Yijun Bian, Qingquan Song, Mengnan Du, Jun Yao, Huanhuan Chen, Xia Hu:
Sub-Architecture Ensemble Pruning in Neural Architecture Search. CoRR abs/1910.00370 (2019) - [i3]Haofan Wang, Mengnan Du, Fan Yang, Zijian Zhang:
Score-CAM: Improved Visual Explanations Via Score-Weighted Class Activation Mapping. CoRR abs/1910.01279 (2019) - 2018
- [c1]Mengnan Du, Ninghao Liu, Qingquan Song, Xia Hu:
Towards Explanation of DNN-based Prediction with Guided Feature Inversion. KDD 2018: 1358-1367 - [i2]Mengnan Du, Ninghao Liu, Qingquan Song, Xia Hu:
Towards Explanation of DNN-based Prediction with Guided Feature Inversion. CoRR abs/1804.00506 (2018) - [i1]Mengnan Du, Ninghao Liu, Xia Hu:
Techniques for Interpretable Machine Learning. CoRR abs/1808.00033 (2018) - 2017
- [j3]Mengnan Du, Xingming Wu, Weihai Chen, Zhengguo Li:
Supervised training and contextually guided salient object detection. Digit. Signal Process. 63: 44-55 (2017) - 2016
- [j2]Xingming Wu, Mengnan Du, Weihai Chen, Jianhua Wang:
Salient object detection via region contrast and graph regularization. Sci. China Inf. Sci. 59(3): 32104:1-32104:14 (2016) - [j1]Mengnan Du, Xingming Wu, Weihai Chen, Jianhua Wang:
Exploiting multiple contexts for saliency detection. J. Electronic Imaging 25(6): 63005 (2016)
Coauthor Index
[j15] [c41] [c40] [i64] [c36] [c35] [c33] [c28] [c27] [i44] [i41] [i31] [j12] [j11] [j10] [c25] [c24] [c23] [c22] [i29] [i28] [i27] [i26] [i25] [j9] [j8] [j7] [j6] [c21] [c20] [c18] [c17] [c16] [c15] [i24] [i23] [i22] [i21] [i20] [i19] [j5] [j4] [c14] [c13] [c12] [c11] [i18] [i17] [i16] [i15] [i14] [i13] [c8] [c7] [c6] [c5] [c4] [c3] [c2] [i12] [i11] [i10] [i9] [i7] [i6] [i5] [i4] [c1] [i2] [i1]
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-11-11 21:28 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
