Ruixiang Tang - RankMe

99 papers A* 12A 3Misc 1Journal 67Unranked 16

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	CATP: Contextually Adaptive Token Pruning for Efficient and Enhanced Multimodal In-Context Learning. AAAI Yanshu Li, Jianjiang Yang, Zhennan Shen, Ligong Han, Haoyan Xu, Ruixiang Tang
2026	A*	`conf`	CounterBench: Evaluating and Improving Counterfactual Reasoning in Large Language Models. AAAI Yuefei Chen, Vivek K. Singh, Jing Ma, Ruixiang Tang
2026	J	`jnl`	Counting Circuits: Mechanistic Interpretability of Visual Reasoning in Large Vision-Language Models. CoRR Liwei Che, Zhiyu Xue, Yihao Quan, Benlin Liu, Zeru Shi, Michelle Hurst, Jacob Feldman, Ruixiang Tang, Ranjay Krishna, Vladimir Pavlovic
2026	J	`jnl`	Data Augmentation for High-Fidelity Generation of CAR-T/NK Immunological Synapse Images. CoRR Xiang Zhang, Boxuan Zhang, Alireza Naghizadeh, Mohab Mohamed, Dongfang Liu, Ruixiang Tang, Dimitris N. Metaxas
2026	—	`conf`	FaithLM: Towards Faithful Explanations for Large Language Models. EACL (Volume 1: Long Papers) Yu-Neng Chuang, Guanchu Wang, Chia-Yuan Chang, Ruixiang Tang, Shaochen Zhong, Fan Yang, Andrew Wen, Mengnan Du, Xuanting Cai, Vladimir Braverman, Xia Hu
2026	J	`jnl`	Improving Visual Reasoning with Iterative Evidence Refinement. CoRR Zeru Shi, Kai Mei, Yihao Quan, Dimitris N. Metaxas, Ruixiang Tang
2026	A*	`conf`	Make LVLMs Focus: Context-Aware Attention Modulation for Better Multimodal In-Context Learning. AAAI Yanshu Li, Jianjiang Yang, Ziteng Yang, Bozheng Li, Ligong Han, Hongyang He, Zhengtao Yao, Yingjie Victor Chen, Songlin Fei, Dongfang Liu, Ruixiang Tang
2026	J	`jnl`	Q-Bridge: Code Translation for Quantum Machine Learning via LLMs. CoRR Runjia Zeng, Priyabrata Senapati, Ruixiang Tang, Dongfang Liu, Qiang Guan
2026	J	`jnl`	Reasoning over Precedents Alongside Statutes: Case-Augmented Deliberative Alignment for LLM Safety. CoRR Can Jin, Rui Wu, Tong Che, Qixin Zhang, Hongwu Peng, Jiahui Zhao, Zhenting Wang, Wenqi Wei, Ligong Han, Zhao Zhang, Yuan Cao, Ruixiang Tang, Dimitris N. Metaxas
2026	J	`jnl`	Shifting Uncertainty to Critical Moments: Towards Reliable Uncertainty Quantification for VLA Model. CoRR Yanchuan Tang, Taowen Wang, Yuefei Chen, Boxuan Zhang, Qiang Guan, Ruixiang Tang
2026	J	`jnl`	TokenSeek: Memory Efficient Fine Tuning via Instance-Aware Token Ditching. CoRR Runjia Zeng, Qifan Wang, Qiang Guan, Ruixiang Tang, Lifu Huang, Zhenting Wang, Xueling Zhang, Cheng Han, Dongfang Liu
2025	—	`conf`	A Decoupled Multi-Agent Framework for Complex Text Style Transfer. EMNLP (Findings) Lingxi Zhang, Yu-Neng Chuang, Guanchu Wang, Ruixiang Tang, Xuanting Cai, Rajesh Shenoy, Xia Hu
2025	J	`jnl`	A Multi-granularity Concept Sparse Activation and Hierarchical Knowledge Graph Fusion Framework for Rare Disease Diagnosis. CoRR Mingda Zhang, Na Zhao, Jianglong Qin, Guoyu Ye, Ruixiang Tang
2025	J	`jnl`	A Semantic Segmentation Algorithm for Pleural Effusion Based on DBIF-AUNet. CoRR Ruixiang Tang, Jianglong Qin, Mingda Zhang, Yan Song, Yi Wu, Wei Wu
2025	J	`jnl`	CAMA: Enhancing Multimodal In-Context Learning with Context-Aware Modulated Attention. CoRR Yanshu Li, Jianjiang Yang, Bozheng Li, Ruixiang Tang
2025	J	`jnl`	CATP: Contextually Adaptive Token Pruning for Efficient and Enhanced Multimodal In-Context Learning. CoRR Yanshu Li, Jianjiang Yang, Zhennan Shen, Ligong Han, Haoyan Xu, Ruixiang Tang
2025	J	`jnl`	Can Large Vision-Language Models Detect Images Copyright Infringement from GenAI? CoRR Qipan Xu, Zhenting Wang, Xiaoxiao He, Ligong Han, Ruixiang Tang
2025	J	`jnl`	CounterBench: A Benchmark for Counterfactuals Reasoning in Large Language Models. CoRR Yuefei Chen, Vivek K. Singh, Jing Ma, Ruixiang Tang
2025	J	`jnl`	CounterVQA: Evaluating and Improving Counterfactual Reasoning in Vision-Language Models for Video Understanding. CoRR Yuefei Chen, Jiang Liu, Xiaodong Lin, Ruixiang Tang
2025	J	`jnl`	DBR: Divergence-Based Regularization for Debiasing Natural Language Understanding Models. CoRR Zihao Li, Ruixiang Tang, Lu Cheng, Shuaiqiang Wang, Dawei Yin, Mengnan Du
2025	J	`jnl`	DBR: Divergence-Based Regularization for Debiasing Natural Language Understanding Models. SIGKDD Explor. Zihao Li, Ruixiang Tang, Lu Cheng, Shuaiqiang Wang, Dawei Yin, Mengnan Du
2025	J	`jnl`	DCFFSNet: Deep Connectivity Feature Fusion Separation Network for Medical Image Segmentation. CoRR Xun Ye, Ruixiang Tang, Mingda Zhang, Jianglong Qin
2025	J	`jnl`	Decoding Knowledge in Large Language Models: A Framework for Categorization and Comprehension. CoRR Yanbo Fang, Ruixiang Tang
2025	—	`conf`	Disentangling Memory and Reasoning Ability in Large Language Models. ACL (1) Mingyu Jin, Weidi Luo, Sitao Cheng, Xinyi Wang, Wenyue Hua, Ruixiang Tang, William Yang Wang, Yongfeng Zhang
2025	J	`jnl`	EAZY: Eliminating Hallucinations in LVLMs by Zeroing out Hallucinatory Image Tokens. CoRR Liwei Che, Tony Qingze Liu, Jing Jia, Weiyi Qin, Ruixiang Tang, Vladimir Pavlovic
2025	J	`jnl`	Fair-RGNN: Mitigating Relational Bias on Knowledge Graphs. ACM Trans. Knowl. Discov. Data Yu-Neng Chuang, Kwei-Herng Lai, Ruixiang Tang, Mengnan Du, Chia-Yuan Chang, Na Zou, Xia Hu
2025	—	`conf`	LoRATK: LoRA Once, Backdoor Everywhere in the Share-and-Play Ecosystem. EMNLP (Findings) Hongyi Liu, Shaochen Zhong, Xintong Sun, Minghao Tian, Mohsen Hariri, Zirui Liu, Ruixiang Tang, Zhimeng Jiang, Jiayi Yuan, Yu-Neng Chuang, Li Li, Soo-Hyun Choi, Rui Chen, Vipin Chaudhary, Xia Hu
2025	J	`jnl`	M2IV: Towards Efficient and Fine-grained Multimodal In-Context Learning in Large Vision-Language Models. CoRR Yanshu Li, Hongyang He, Yi Cao, Qisen Cheng, Xiang Fu, Ruixiang Tang
2025	A*	`conf`	Massive Values in Self-Attention Modules are the Key to Contextual Knowledge Understanding. ICML Mingyu Jin, Kai Mei, Wujiang Xu, Mingjie Sun, Ruixiang Tang, Mengnan Du, Zirui Liu, Yongfeng Zhang
2025	J	`jnl`	Massive Values in Self-Attention Modules are the Key to Contextual Knowledge Understanding. CoRR Mingyu Jin, Kai Mei, Wujiang Xu, Mingjie Sun, Ruixiang Tang, Mengnan Du, Zirui Liu, Yongfeng Zhang
2025	J	`jnl`	Meaningless Tokens, Meaningful Gains: How Activation Shifts Enhance LLM Reasoning. CoRR Zeru Shi, Yingjia Wan, Zhenting Wang, Qifan Wang, Fan Yang, Elisa Kreiss, Ruixiang Tang
2025	A*	`conf`	Re-Imagining Multimodal Instruction Tuning: A Representation View. ICLR Yiyang Liu, James Chenhao Liang, Ruixiang Tang, Yugyung Lee, Majid Rabbani, Sohail A. Dianat, Raghuveer Rao, Lifu Huang, Dongfang Liu, Qifan Wang, Cheng Han
2025	J	`jnl`	Re-Imagining Multimodal Instruction Tuning: A Representation View. CoRR Yiyang Liu, James Chenhao Liang, Ruixiang Tang, Yugyung Lee, Majid Rabbani, Sohail A. Dianat, Raghuveer Rao, Lifu Huang, Dongfang Liu, Qifan Wang, Cheng Han
2025	J	`jnl`	Read the Scene, Not the Script: Outcome-Aware Safety for LLMs. CoRR Rui Wu, Yihao Quan, Zeru Shi, Zhenting Wang, Yanshu Li, Ruixiang Tang
2025	—	`conf`	SafePersuasion: A Dataset, Taxonomy, and Baselines for Analysis of Rational Persuasion and Manipulation. IJCNLP-AACL (Findings) Haein Kong, A M. Muntasir Rahman, Ruixiang Tang, Vivek Singh
2025	J	`jnl`	Survey and Improvement Strategies for Gene Prioritization with Large Language Models. CoRR Matthew Neeley, Guantong Qi, Guanchu Wang, Ruixiang Tang, Dongxue Mao, Chaozhong Liu, Sasidhar Pasupuleti, Bo Yuan, Fan Xia, Pengfei Liu, Zhandong Liu, Xia Ben Hu
2025	A*	`conf`	TACO: Enhancing Multimodal In-context Learning via Task Mapping-Guided Sequence Configuration. EMNLP Yanshu Li, Jianjiang Yang, Tian Yun, Pinyuan Feng, Jinfa Huang, Ruixiang Tang
2025	J	`jnl`	TACO: Enhancing Multimodal In-context Learning via Task Mapping-Guided Sequence Configuration. CoRR Yanshu Li, Tian Yun, Jianjiang Yang, Pinyuan Feng, Jinfa Huang, Ruixiang Tang
2025	J	`jnl`	Towards Generalizable Implicit In-Context Learning with Attention Routing. CoRR Jiaqian Li, Yanshu Li, Ligong Han, Ruixiang Tang, Wenya Wang
2025	A	`conf`	Uncertainty Quantification for Multiple-Choice Questions is Just One-Token Deep. CIKM Qingcheng Zeng, Mingyu Jin, Qinkai Yu, Zhenting Wang, Wenyue Hua, Guangyan Sun, Yanda Meng, Shiqing Ma, Qifan Wang, Felix Juefei-Xu, Fan Yang, Kaize Ding, Ruixiang Tang, Yongfeng Zhang
2025	J	`jnl`	Unified Multimodal Coherent Field: Synchronous Semantic-Spatial-Vision Fusion for Brain Tumor Segmentation. CoRR Mingda Zhang, Yuyang Zheng, Ruixiang Tang, Jingru Qiu, Haiyan Ding
2025	J	`jnl`	What Shapes a Creative Machine Mind? Comprehensively Benchmarking Creativity in Foundation Models. CoRR Zicong He, Boxuan Zhang, Weihao Liu, Ruixiang Tang, Lu Cheng
2025	—	`conf`	When Backdoors Speak: Understanding LLM Backdoor Attacks Through Model-Generated Explanations. ACL (1) Huaizhi Ge, Yiming Li, Qifan Wang, Yongfeng Zhang, Ruixiang Tang
2024	J	`jnl`	Assessing and Enhancing Large Language Models in Rare Disease Question-answering. CoRR Guanchu Wang, Junhao Ran, Ruixiang Tang, Chia-Yuan Chang, Yu-Neng Chuang, Zirui Liu, Vladimir Braverman, Zhandong Liu, Xia Hu
2024	J	`jnl`	Disentangling Memory and Reasoning Ability in Large Language Models. CoRR Mingyu Jin, Weidi Luo, Sitao Cheng, Xinyi Wang, Wenyue Hua, Ruixiang Tang, William Yang Wang, Yongfeng Zhang
2024	J	`jnl`	Exploring the Adversarial Vulnerabilities of Vision-Language-Action Models in Robotics. CoRR Taowen Wang, Dongfang Liu, James Chenhao Liang, Wenhao Yang, Qifan Wang, Cheng Han, Jiebo Luo, Ruixiang Tang
2024	J	`jnl`	Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond. ACM Trans. Knowl. Discov. Data Jingfeng Yang, Hongye Jin, Ruixiang Tang, Xiaotian Han, Qizhang Feng, Haoming Jiang, Shaochen Zhong, Bing Yin, Xia Ben Hu
2024	J	`jnl`	Large Language Models As Faithful Explainers. CoRR Yu-Neng Chuang, Guanchu Wang, Chia-Yuan Chang, Ruixiang Tang, Fan Yang, Mengnan Du, Xuanting Cai, Xia Hu
2024	J	`jnl`	LoRATK: LoRA Once, Backdoor Everywhere in the Share-and-Play Ecosystem. CoRR Hongyi Liu, Shaochen (Henry) Zhong, Xintong Sun, Minghao Tian, Mohsen Hariri, Zirui Liu, Ruixiang Tang, Zhimeng Jiang, Jiayi Yuan, Yu-Neng Chuang, Li Li, Soo-Hyun Choi, Rui Chen, Vipin Chaudhary, Xia Hu
2024	—	`conf`	Navigating the Shortcut Maze: A Comprehensive Analysis of Shortcut Learning in Text Classification by Language Models. EMNLP (Findings) Yuqing Zhou, Ruixiang Tang, Ziyu Yao, Ziwei Zhu
2024	J	`jnl`	Navigating the Shortcut Maze: A Comprehensive Analysis of Shortcut Learning in Text Classification by Language Models. CoRR Yuqing Zhou, Ruixiang Tang, Ziyu Yao, Ziwei Zhu
2024	J	`jnl`	SPeC: A Soft Prompt-Based Calibration on Performance Variability of Large Language Model in Clinical Notes Summarization. J. Biomed. Informatics Yu-Neng Chuang, Ruixiang Tang, Xiaoqian Jiang, Xia Hu
2024	—	`conf`	Secure Your Model: An Effective Key Prompt Protection Mechanism for Large Language Models. NAACL-HLT (Findings) Ruixiang Tang, Yu-Neng Chuang, Xuanting Cai, Mengnan Du, Xia Hu
2024	A*	`conf`	Taylor Unswift: Secured Weight Release for Large Language Models via Taylor Expansion. EMNLP Guanchu Wang, Yu-Neng Chuang, Ruixiang Tang, Shaochen Zhong, Jiayi Yuan, Hongye Jin, Zirui Liu, Vipin Chaudhary, Shuai Xu, James Caverlee, Xia Ben Hu
2024	J	`jnl`	Taylor Unswift: Secured Weight Release for Large Language Models via Taylor Expansion. CoRR Guanchu Wang, Yu-Neng Chuang, Ruixiang Tang, Shaochen Zhong, Jiayi Yuan, Hongye Jin, Zirui Liu, Vipin Chaudhary, Shuai Xu, James Caverlee, Xia Hu
2024	J	`jnl`	The Science of Detecting LLM-Generated Text. Commun. ACM Ruixiang Tang, Yu-Neng Chuang, Xia Hu
2024	—	`conf`	TrustAgent: Towards Safe and Trustworthy LLM-based Agents. EMNLP (Findings) Wenyue Hua, Xianjun Yang, Mingyu Jin, Zelong Li, Wei Cheng, Ruixiang Tang, Yongfeng Zhang
2024	J	`jnl`	Uncertainty is Fragile: Manipulating Uncertainty in Large Language Models. CoRR Qingcheng Zeng, Mingyu Jin, Qinkai Yu, Zhenting Wang, Wenyue Hua, Zihao Zhou, Guangyan Sun, Yanda Meng, Shiqing Ma, Qifan Wang, Felix Juefei-Xu, Kaize Ding, Fan Yang, Ruixiang Tang, Yongfeng Zhang
2024	J	`jnl`	When Backdoors Speak: Understanding LLM Backdoor Attacks Through Model-Generated Explanations. CoRR Huaizhi Ge, Yiming Li, Qifan Wang, Yongfeng Zhang, Ruixiang Tang
2023	J	`jnl`	A Comparative Study of Structural Deformation Test Based on Edge Detection and Digital Image Correlation. Sensors Ruixiang Tang, Wenbing Chen, Yousong Wu, Hongbin Xiong, Banfu Yan
2023	—	`conf`	Assessing Privacy Risks in Language Models: A Case Study on Summarization Tasks. EMNLP (Findings) Ruixiang Tang, Gord Lueck, Rodolfo Quispe, Huseyin A. Inan, Janardhan Kulkarni, Xia Hu
2023	J	`jnl`	Assessing Privacy Risks in Language Models: A Case Study on Summarization Tasks. CoRR Ruixiang Tang, Gord Lueck, Rodolfo Quispe, Huseyin A. Inan, Janardhan Kulkarni, Xia Hu
2023	J	`jnl`	DEGREE: Decomposition Based Explanation For Graph Neural Networks. CoRR Qizhang Feng, Ninghao Liu, Fan Yang, Ruixiang Tang, Mengnan Du, Xia Hu
2023	—	`conf`	Deep Serial Number: Computational Watermark for DNN Intellectual Property Protection. ECML/PKDD (6) Ruixiang Tang, Mengnan Du, Xia Hu
2023	J	`jnl`	Did You Train on My Dataset? Towards Public Dataset Protection with Clean-Label Backdoor Watermarking. CoRR Ruixiang Tang, Qizhang Feng, Ninghao Liu, Fan Yang, Xia Hu
2023	J	`jnl`	Did You Train on My Dataset? Towards Public Dataset Protection with CleanLabel Backdoor Watermarking. SIGKDD Explor. Ruixiang Tang, Qizhang Feng, Ninghao Liu, Fan Yang, Xia Hu
2023	A	`conf`	DiscoverPath: A Knowledge Refinement and Retrieval System for Interdisciplinarity on Biomedical Research. CIKM Yu-Neng Chuang, Guanchu Wang, Chia-Yuan Chang, Kwei-Herng Lai, Daochen Zha, Ruixiang Tang, Fan Yang, Alfredo Costilla-Reyes, Kaixiong Zhou, Xiaoqian Jiang, Xia Hu
2023	J	`jnl`	DiscoverPath: A Knowledge Refinement and Retrieval System for Interdisciplinarity on Biomedical Research. CoRR Yu-Neng Chuang, Guanchu Wang, Chia-Yuan Chang, Kwei-Herng Lai, Daochen Zha, Ruixiang Tang, Fan Yang, Alfredo Costilla-Reyes, Kaixiong Zhou, Xiaoqian Jiang, Xia Ben Hu
2023	J	`jnl`	Does Synthetic Data Generation of LLMs Help Clinical Text Mining? CoRR Ruixiang Tang, Xiaotian Han, Xiaoqian Jiang, Xia Hu
2023	A	`conf`	Exposing Model Theft: A Robust and Transferable Watermark for Thwarting Model Extraction Attacks. CIKM Ruixiang Tang, Hongye Jin, Mengnan Du, Curtis Wigington, Rajiv Jain, Xia Hu
2023	J	`jnl`	Fairly Predicting Graft Failure in Liver Transplant for Organ Assigning. CoRR Sirui Ding, Ruixiang Tang, Daochen Zha, Na Zou, Kai Zhang, Xiaoqian Jiang, Xia Hu
2023	J	`jnl`	Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond. CoRR Jingfeng Yang, Hongye Jin, Ruixiang Tang, Xiaotian Han, Qizhang Feng, Haoming Jiang, Bing Yin, Xia Hu
2023	J	`jnl`	LLM for Patient-Trial Matching: Privacy-Aware Data Augmentation Towards Better Performance and Generalizability. CoRR Jiayi Yuan, Ruixiang Tang, Xiaoqian Jiang, Xia Hu
2023	—	`conf`	Large Language Models Can be Lazy Learners: Analyze Shortcuts in In-Context Learning. ACL (Findings) Ruixiang Tang, Dehan Kong, Longtao Huang, Hui Xue
2023	J	`jnl`	Large Language Models Can be Lazy Learners: Analyze Shortcuts in In-Context Learning. CoRR Ruixiang Tang, Dehan Kong, Longtao Huang, Hui Xue
2023	J	`jnl`	Local Contrastive Learning for Medical Image Recognition. CoRR S. A. Rizvi, Ruixiang Tang, X. Jiang, X. Ma, X. Hu
2023	—	`conf`	PheME: A deep ensemble framework for improving phenotype prediction from multi-modal data. ICHI Shenghan Zhang, Haoxuan Li, Ruixiang Tang, Sirui Ding, Laila Rasmy, Degui Zhi, Na Zou, Xia Hu
2023	J	`jnl`	PheME: A deep ensemble framework for improving phenotype prediction from multi-modal data. CoRR Shenghan Zhang, Haoxuan Li, Ruixiang Tang, Sirui Ding, Laila Rasmy, Degui Zhi, Na Zou, Xia Hu
2023	J	`jnl`	SPeC: A Soft Prompt-Based Calibration on Mitigating Performance Variability in Clinical Notes Summarization. CoRR Yu-Neng Chuang, Ruixiang Tang, Xiaoqian Jiang, Xia Hu
2023	J	`jnl`	Setting the Trap: Capturing and Defeating Backdoors in Pretrained Language Models through Honeypots. CoRR Ruixiang Tang, Jiayi Yuan, Yiming Li, Zirui Liu, Rui Chen, Xia Hu
2023	J	`jnl`	The Science of Detecting LLM-Generated Texts. CoRR Ruixiang Tang, Yu-Neng Chuang, Xia Hu
2023	J	`jnl`	Winner-Take-All Column Row Sampling for Memory Efficient Adaptation of Language Model. CoRR Zirui Liu, Guanchu Wang, Shaochen Zhong, Zhaozhuo Xu, Daochen Zha, Ruixiang Tang, Zhimeng Jiang, Kaixiong Zhou, Vipin Chaudhary, Shuai Xu, Xia Ben Hu
2022	A*	`conf`	DEGREE: Decomposition Based Explanation for Graph Neural Networks. ICLR Qizhang Feng, Ninghao Liu, Fan Yang, Ruixiang Tang, Mengnan Du, Xia Hu
2022	J	`jnl`	Defense Against Explanation Manipulation. Frontiers Big Data Ruixiang Tang, Ninghao Liu, Fan Yang, Na Zou, Xia Hu
2022	Misc	`conf`	Fairly Predicting Graft Failure in Liver Transplant for Organ Assigning. AMIA Sirui Ding, Ruixiang Tang, Daochen Zha, Na Zou, Kai Zhang, Xiaoqian Jiang, Xia Hu
2022	J	`jnl`	Mitigating Relational Bias on Knowledge Graphs. CoRR Yu-Neng Chuang, Kwei-Herng Lai, Ruixiang Tang, Mengnan Du, Chia-Yuan Chang, Na Zou, Xia Hu
2022	A*	`conf`	Towards Debiasing DNN Models from Spurious Feature Influence. AAAI Mengnan Du, Ruixiang Tang, Weijie Fu, Xia Hu
2022	J	`jnl`	Understanding Social Biases Behind Location Names in Contextual Word Embedding Models. IEEE Trans. Comput. Soc. Syst. Fangsheng Wu, Mengnan Du, Chao Fan, Ruixiang Tang, Yang Yang, Ali Mostafavi, Xia Hu
2021	J	`jnl`	Defense Against Explanation Manipulation. CoRR Ruixiang Tang, Ninghao Liu, Fan Yang, Na Zou, Xia Hu
2021	A*	`conf`	Fairness via Representation Neutralization. NeurIPS Mengnan Du, Subhabrata Mukherjee, Guanchu Wang, Ruixiang Tang, Ahmed Hassan Awadallah, Xia Ben Hu
2021	J	`jnl`	Fairness via Representation Neutralization. CoRR Mengnan Du, Subhabrata Mukherjee, Guanchu Wang, Ruixiang Tang, Ahmed Hassan Awadallah, Xia Ben Hu
2021	A*	`conf`	Mitigating Gender Bias in Captioning Systems. WWW Ruixiang Tang, Mengnan Du, Yuening Li, Zirui Liu, Na Zou, Xia Hu
2020	A*	`conf`	An Embarrassingly Simple Approach for Trojan Attack in Deep Neural Networks. KDD Ruixiang Tang, Mengnan Du, Ninghao Liu, Fan Yang, Xia Hu
2020	J	`jnl`	An Embarrassingly Simple Approach for Trojan Attack in Deep Neural Networks. CoRR Ruixiang Tang, Mengnan Du, Ninghao Liu, Fan Yang, Xia Hu
2020	—	`conf`	Deep Feature Disentanglement Learning for Bone Suppression in Chest Radiographs. ISBI Chunze Lin, Ruixiang Tang, Darryl D. Lin, Langechuan Liu, Jiwen Lu, Yunqiang Chen, Dashan Gao, Jie Zhou
2020	J	`jnl`	Deep Serial Number: Computational Watermarking for DNN Intellectual Property Protection. CoRR Ruixiang Tang, Mengnan Du, Xia Hu
2020	J	`jnl`	Mitigating Gender Bias in Captioning Systems. CoRR Ruixiang Tang, Mengnan Du, Yuening Li, Zirui Liu, Xia Hu
2019	—	`conf`	Breast Mass Detection in Mammograms via Blending Adversarial Learning. SASHIMI@MICCAI Chunze Lin, Ruixiang Tang, Darryl D. Lin, Langechuan Liu, Jiwen Lu, Yunqiang Chen, Dashan Gao, Jie Zhou
2019	—	`conf`	Classification of chest CT using case-level weak supervision. Computer-Aided Diagnosis Ruixiang Tang, Fakrul Islam Tushar, Songyue Han, Rui Hou, Geoffrey D. Rubin, Joseph Y. Lo