Yanjun Qi - RankMe

168 papers A* 11A 18B 2C 4Misc 7Journal 86Unranked 39

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Preference Optimization via Contrastive Divergence: Your Policy Is Secretly an NLL Estimator. AAAI Zhuotong Chen, Fang Liu, Xuan Zhu, Haozhu Wang, Jiayu Li, Yanjun Qi, Mohammad Ghavamzadeh
2026	—	`conf`	The Subtle Art of Defection: Understanding Uncooperative Behaviors in LLM based Multi-Agent Systems. EACL (Industry Track) Devang Kulshreshtha, Wanyu Du, Raghav Jain, Srikanth Doss, Hang Su, Sandesh Swamy, Yanjun Qi
2025	J	`jnl`	A Comprehensive Survey on Concept Erasure in Text-to-Image Diffusion Models. CoRR Changhoon Kim, Yanjun Qi
2025	—	`conf`	AIDE: Attribute-Guided MultI-Hop Data Expansion for Data Scarcity in Task-Specific Fine-tuning. ACL (6) Jiayu Li, Jennifer Zhu, Fang Liu, Yanjun Qi
2025	—	`conf`	Augmented Adversarial Trigger Learning. NAACL (Findings) Zhe Wang, Yanjun Qi
2025	J	`jnl`	Augmented Adversarial Trigger Learning. CoRR Zhe Wang, Yanjun Qi
2025	J	`jnl`	Cross-Modal Content Optimization for Steering Web Agent Preferences. CoRR Tanqiu Jiang, Min Bai, Nikolaos Pappas, Yanjun Qi, Sandesh Swamy
2025	J	`jnl`	Enhancing Object Detection Robustness in Industrial UAVs Through Multimodal Deep Feature Fusion. IEEE Access Jianzhen Zhang, Yanjun Qi, Ya Dai
2025	—	`conf`	Graph of Attacks with Pruning: Optimizing Stealthy Jailbreak Prompt Generation for Enhanced LLM Content Moderation. EMNLP (Industry Track) Daniel Schwartz, Dmitriy Bespalov, Zhe Wang, Ninad Kulkarni, Yanjun Qi
2025	J	`jnl`	Graph of Attacks with Pruning: Optimizing Stealthy Jailbreak Prompt Generation for Enhanced LLM Content Moderation. CoRR Daniel Schwartz, Dmitriy Bespalov, Zhe Wang, Ninad Kulkarni, Yanjun Qi
2025	—	`conf`	Hierarchical Prompt Decision Transformer: Improving Few-Shot Policy Generalization with Global and Adaptive Guidance. WWW (Companion Volume) Zhe Wang, Haozhu Wang, Yanjun Qi
2025	J	`jnl`	Peacemaker or Troublemaker: How Sycophancy Shapes Multi-Agent Debate. CoRR Binwei Yao, Chao Shang, Wanyu Du, Jianfeng He, Ruixue Lian, Yi Zhang, Hang Su, Sandesh Swamy, Yanjun Qi
2025	J	`jnl`	Preference Optimization via Contrastive Divergence: Your Reward Model is Secretly an NLL Estimator. CoRR Zhuotong Chen, Fang Liu, Xuan Zhu, Yanjun Qi, Mohammad Ghavamzadeh
2025	J	`jnl`	Reward Is Enough: LLMs Are In-Context Reinforcement Learners. CoRR Kefan Song, Amir Moeini, Peng Wang, Lei Gong, Rohan Chandra, Yanjun Qi, Shangtong Zhang
2025	J	`jnl`	STAC: When Innocent Tools Form Dangerous Chains to Jailbreak LLM Agents. CoRR Jing-Jing Li, Jianfeng He, Chao Shang, Devang Kulshreshtha, Xun Xian, Yi Zhang, Hang Su, Sandesh Swamy, Yanjun Qi
2025	—	`conf`	TaeBench: Improving Quality of Toxic Adversarial Examples. NAACL (Industry Track) Xuan Zhu, Dmitriy Bespalov, Liwen You, Ninad Kulkarni, Yanjun Qi
2025	J	`jnl`	The Subtle Art of Defection: Understanding Uncooperative Behaviors in LLM based Multi-Agent Systems. CoRR Devang Kulshreshtha, Wanyu Du, Raghav Jain, Srikanth Doss, Hang Su, Sandesh Swamy, Yanjun Qi
2025	—	`conf`	TurboFuzzLLM: Turbocharging Mutation-based Fuzzing for Effectively Jailbreaking Large Language Models in Practice. NAACL (Industry Track) Aman Goel, Xian Carrie Wu, Zhe Wang, Dmitriy Bespalov, Yanjun Qi
2025	J	`jnl`	TurboFuzzLLM: Turbocharging Mutation-based Fuzzing for Effectively Jailbreaking Large Language Models in Practice. CoRR Aman Goel, Xian Carrie Wu, Zhe Wang, Dmitriy Bespalov, Yanjun Qi
2025	—	`conf`	Zero-knowledge LLM hallucination detection and mitigation through fine-grained cross-model consistency. EMNLP (Industry Track) Aman Goel, Daniel Schwartz, Yanjun Qi
2025	J	`jnl`	Zero-knowledge LLM hallucination detection and mitigation through fine-grained cross-model consistency. CoRR Aman Goel, Daniel Schwartz, Yanjun Qi
2024	J	`jnl`	AIDE: Task-Specific Fine Tuning with Attribute Guided Multi-Hop Data Expansion. CoRR Jiayu Li, Xuan Zhu, Fang Liu, Yanjun Qi
2024	J	`jnl`	DFlow: Diverse Dialogue Flow Simulation with Large Language Models. CoRR Wanyu Du, Song Feng, James Gung, Lijia Sun, Yi Zhang, Saab Mansour, Yanjun Qi
2024	J	`jnl`	Hierarchical Prompt Decision Transformer: Improving Few-Shot Policy Generalization with Global and Adaptive Guidance. CoRR Zhe Wang, Haozhu Wang, Yanjun Qi
2024	—	`conf`	LaRS: Latent Reasoning Skills for Chain-of-Thought Reasoning. EMNLP (Findings) Zifan Xu, Haozhu Wang, Dmitriy Bespalov, Xian Wu, Peter Stone, Yanjun Qi
2024	J	`jnl`	Large Language Models (LLMs) on Tabular Data: Prediction, Generation, and Understanding - A Survey. Trans. Mach. Learn. Res. Xi Fang, Weijie Xu, Fiona Anting Tan, Ziqing Hu, Jiani Zhang, Yanjun Qi, Srinivasan H. Sengamedu, Christos Faloutsos
2024	J	`jnl`	Large Language Models(LLMs) on Tabular Data: Prediction, Generation, and Understanding - A Survey. CoRR Xi Fang, Weijie Xu, Fiona Anting Tan, Jiani Zhang, Ziqing Hu, Yanjun Qi, Scott Nickleach, Diego Socolinsky, Srinivasan H. Sengamedu, Christos Faloutsos
2024	C	`conf`	Launchpad: Learning to Schedule Using Offline and Online RL Methods. JSSPP Vanamala Venkataswamy, Jake Grigsby, Andrew Grimshaw, Yanjun Qi
2024	—	`conf`	Less is More for Improving Automatic Evaluation of Factual Consistency. NAACL (Industry Track) Tong Wang, Ninad Kulkarni, Yanjun Qi
2024	J	`jnl`	Less is More for Improving Automatic Evaluation of Factual Consistency. CoRR Tong Wang, Ninad Kulkarni, Yanjun Qi
2024	J	`jnl`	Securing the Future of GenAI: Policy and Technology. CoRR Mihai Christodorescu, Ryan Craven, Soheil Feizi, Neil Gong, Mia Hoffmann, Somesh Jha, Zhengyuan Jiang, Mehrdad Saberi Kamarposhti, John C. Mitchell, Jessica Newman, Emelia Probasco, Yanjun Qi, Khawaja Shams, Matthew Turek
2024	J	`jnl`	Securing the Future of GenAI: Policy and Technology. IACR Cryptol. ePrint Arch. Mihai Christodorescu, Ryan Craven, Soheil Feizi, Neil Zhenqiang Gong, Mia Hoffmann, Somesh Jha, Zhengyuan Jiang, Mehrdad Saberi Kamarposhti, John C. Mitchell, Jessica Newman, Emelia Probasco, Yanjun Qi, Khawaja Shams, Matthew Turek
2024	J	`jnl`	TaeBench: Improving Quality of Toxic Adversarial Examples. CoRR Xuan Zhu, Dmitriy Bespalov, Liwen You, Ninad Kulkarni, Yanjun Qi
2024	J	`jnl`	Towards Building a Robust Toxicity Predictor. CoRR Dmitriy Bespalov, Sourav Bhabesh, Yi Xiang, Liutong Zhou, Yanjun Qi
2024	J	`jnl`	Towards Improved Preference Optimization Pipeline: from Data Generation to Budget-Controlled Regularization. CoRR Zhuotong Chen, Fang Liu, Jennifer Zhu, Wanyu Du, Yanjun Qi
2023	—	`conf`	Estimating and Maximizing Mutual Information for Knowledge Distillation. CVPR Workshops Aman Shrivastava, Yanjun Qi, Vicente Ordonez
2023	J	`jnl`	Expanding Scope: Adapting English Adversarial Attacks to Chinese. CoRR Hanyu Liu, Chengyuan Cai, Yanjun Qi
2023	A*	`conf`	Improving Interpretability via Explicit Word Interaction Graph Layer. AAAI Arshdeep Sekhon, Hanjie Chen, Aman Shrivastava, Zhe Wang, Yangfeng Ji, Yanjun Qi
2023	J	`jnl`	Improving Interpretability via Explicit Word Interaction Graph Layer. CoRR Arshdeep Sekhon, Hanjie Chen, Aman Shrivastava, Zhe Wang, Yangfeng Ji, Yanjun Qi
2023	J	`jnl`	Latent Skill Discovery for Chain-of-Thought Reasoning. CoRR Zifan Xu, Haozhu Wang, Dmitriy Bespalov, Peter Stone, Yanjun Qi
2023	A*	`conf`	PGrad: Learning Principal Gradients For Domain Generalization. ICLR Zhe Wang, Jake Grigsby, Yanjun Qi
2023	J	`jnl`	PGrad: Learning Principal Gradients For Domain Generalization. CoRR Zhe Wang, Jake Grigsby, Yanjun Qi
2023	—	`conf`	Towards Building a Robust Toxicity Predictor. ACL (industry) Dmitriy Bespalov, Sourav Bhabesh, Yi Xiang, Liutong Zhou, Yanjun Qi
2022	A	`conf`	Beyond Data Samples: Aligning Differential Networks Estimation with Scientific Knowledge. AISTATS Arshdeep Sekhon, Zhe Wang, Yanjun Qi
2022	J	`jnl`	Forecasting Cloud Application Workloads With CloudInsight for Predictive Resource Management. IEEE Trans. Cloud Comput. In Kee Kim, Wei Wang, Yanjun Qi, Marty Humphrey
2022	J	`jnl`	Launchpad: Learning to Schedule Using Offline and Online RL Methods. CoRR Vanamala Venkataswamy, Jake Grigsby, Andrew Grimshaw, Yanjun Qi
2022	J	`jnl`	On the Transferability of Visual Features in Generalized Zero-Shot Learning. CoRR Paola Cascante-Bonilla, Leonid Karlinsky, James Seale Smith, Yanjun Qi, Vicente Ordonez
2022	C	`conf`	RARE: Renewable Energy Aware Resource Management in Datacenters. JSSPP Vanamala Venkataswamy, Jake Grigsby, Andrew Grimshaw, Yanjun Qi
2022	J	`jnl`	RARE: Renewable Energy Aware Resource Management in Datacenters. CoRR Vanamala Venkataswamy, Jake Grigsby, Andrew Grimshaw, Yanjun Qi
2022	A	`conf`	ST-MAML : A stochastic-task based method for task-heterogeneous meta-learning. UAI Zhe Wang, Jake Grigsby, Arshdeep Sekhon, Yanjun Qi
2022	—	`conf`	White-box Testing of NLP models with Mask Neuron Coverage. NAACL-HLT (Findings) Arshdeep Sekhon, Yangfeng Ji, Matthew B. Dwyer, Yanjun Qi
2022	J	`jnl`	White-box Testing of NLP models with Mask Neuron Coverage. CoRR Arshdeep Sekhon, Yangfeng Ji, Matthew B. Dwyer, Yanjun Qi
2021	J	`jnl`	A Closer Look at Advantage-Filtered Behavioral Cloning in High-Noise Datasets. CoRR Jake Grigsby, Yanjun Qi
2021	A*	`conf`	Curriculum Labeling: Revisiting Pseudo-Labeling for Semi-Supervised Learning. AAAI Paola Cascante-Bonilla, Fuwen Tan, Yanjun Qi, Vicente Ordonez
2021	J	`jnl`	Estimating and Maximizing Mutual Information for Knowledge Distillation. CoRR Aman Shrivastava, Yanjun Qi, Vicente Ordonez
2021	A	`conf`	Evolving Image Compositions for Feature Representation Learning. BMVC Paola Cascante-Bonilla, Arshdeep Sekhon, Yanjun Qi, Vicente Ordonez
2021	J	`jnl`	Evolving Image Compositions for Feature Representation Learning. CoRR Paola Cascante-Bonilla, Arshdeep Sekhon, Yanjun Qi, Vicente Ordonez
2021	A*	`conf`	General Multi-Label Image Classification With Transformers. CVPR Jack Lanchantin, Tianlu Wang, Vicente Ordonez, Yanjun Qi
2021	J	`jnl`	Long-Range Transformers for Dynamic Spatiotemporal Forecasting. CoRR Jake Grigsby, Zhe Wang, Yanjun Qi
2021	—	`conf`	Perturbing Inputs for Fragile Interpretations in Deep Natural Language Processing. BlackboxNLP@EMNLP Sanchit Sinha, Hanjie Chen, Arshdeep Sekhon, Yangfeng Ji, Yanjun Qi
2021	J	`jnl`	Perturbing Inputs for Fragile Interpretations in Deep Natural Language Processing. CoRR Sanchit Sinha, Hanjie Chen, Arshdeep Sekhon, Yangfeng Ji, Yanjun Qi
2021	J	`jnl`	Relate and Predict: Structure-Aware Prediction with Jointly Optimized Neural DAG. CoRR Arshdeep Sekhon, Zhe Wang, Yanjun Qi
2021	J	`jnl`	ST-MAML: A Stochastic-Task based Method for Task-Heterogeneous Meta-Learning. CoRR Zhe Wang, Jake Grigsby, Arshdeep Sekhon, Yanjun Qi
2021	J	`jnl`	Towards Automatic Actor-Critic Solutions to Continuous Control. CoRR Jake Grigsby, Jin Yong Yoo, Yanjun Qi
2021	—	`conf`	Towards Improving Adversarial Training of NLP Models. EMNLP (Findings) Jin Yong Yoo, Yanjun Qi
2021	J	`jnl`	Towards Improving Adversarial Training of NLP Models. CoRR Jin Yong Yoo, Yanjun Qi
2021	—	`conf`	Transfer learning for predicting virus-host protein interactions for novel virus sequences. BCB Jack Lanchantin, Tom Weingarten, Arshdeep Sekhon, Clint Miller, Yanjun Qi
2020	J	`jnl`	Curriculum Labeling: Self-paced Pseudo-Labeling for Semi-Supervised Learning. CoRR Paola Cascante-Bonilla, Fuwen Tan, Yanjun Qi, Vicente Ordonez
2020	J	`jnl`	Differential Network Learning Beyond Data Samples. CoRR Arshdeep Sekhon, Beilun Wang, Zhe Wang, Yanjun Qi
2020	J	`jnl`	FastSK: fast sequence analysis with gapped string kernels. Bioinform. Derrick Blakely, Eamon Collins, Ritambhara Singh, Andrew P. Norton, Jack Lanchantin, Yanjun Qi
2020	J	`jnl`	General Multi-label Image Classification with Transformers. CoRR Jack Lanchantin, Tianlu Wang, Vicente Ordonez, Yanjun Qi
2020	J	`jnl`	Graph convolutional networks for epigenetic state prediction using both sequence and 3D genome data. Bioinform. Jack Lanchantin, Yanjun Qi
2020	J	`jnl`	Measuring Visual Generalization in Continuous Control from Pixels. CoRR Jake Grigsby, Yanjun Qi
2020	—	`conf`	Reevaluating Adversarial Examples in Natural Language. EMNLP (Findings) John X. Morris, Eli Lifland, Jack Lanchantin, Yangfeng Ji, Yanjun Qi
2020	J	`jnl`	Reevaluating Adversarial Examples in Natural Language. CoRR John X. Morris, Eli Lifland, Jack Lanchantin, Yangfeng Ji, Yanjun Qi
2020	—	`conf`	Searching for a Search Method: Benchmarking Search Algorithms for Generating NLP Adversarial Examples. BlackboxNLP@EMNLP Jin Yong Yoo, John X. Morris, Eli Lifland, Yanjun Qi
2020	J	`jnl`	Searching for a Search Method: Benchmarking Search Algorithms for Generating NLP Adversarial Examples. CoRR Jin Yong Yoo, John X. Morris, Eli Lifland, Yanjun Qi
2020	J	`jnl`	TextAttack: A Framework for Adversarial Attacks in Natural Language Processing. CoRR John X. Morris, Eli Lifland, Jin Yong Yoo, Yanjun Qi
2020	—	`conf`	TextAttack: A Framework for Adversarial Attacks, Data Augmentation, and Adversarial Training in NLP. EMNLP (Demos) John X. Morris, Eli Lifland, Jin Yong Yoo, Jake Grigsby, Di Jin, Yanjun Qi
2020	J	`jnl`	TextAttack: Lessons learned in designing Python frameworks for NLP. CoRR John X. Morris, Jin Yong Yoo, Yanjun Qi
2019	J	`jnl`	Neural Message Passing for Multi-Label Classification. CoRR Jack Lanchantin, Arshdeep Sekhon, Yanjun Qi
2019	—	`conf`	Neural Message Passing for Multi-label Classification. ECML/PKDD (2) Jack Lanchantin, Arshdeep Sekhon, Yanjun Qi
2019	J	`jnl`	Transfer String Kernel for Cross-Context DNA-Protein Binding Prediction. IEEE ACM Trans. Comput. Biol. Bioinform. Ritambhara Singh, Jack Lanchantin, Gabriel Robins, Yanjun Qi
2018	A*	`conf`	A Fast and Scalable Joint Estimator for Integrating Additional Knowledge in Learning Multiple Related Sparse Gaussian Graphical Models. ICML Beilun Wang, Arshdeep Sekhon, Yanjun Qi
2018	J	`jnl`	A Fast and Scalable Joint Estimator for Integrating Additional Knowledge in Learning Multiple Related Sparse Gaussian Graphical Models. CoRR Beilun Wang, Arshdeep Sekhon, Yanjun Qi
2018	—	`conf`	ACM-BCB'18 Tutorial: Making Deep Learning Understandable for Analyzing Sequential Data about Gene Regulation. BCB Yanjun Qi
2018	—	`conf`	Black-Box Generation of Adversarial Text Sequences to Evade Deep Learning Classifiers. IEEE Symposium on Security and Privacy Workshops Ji Gao, Jack Lanchantin, Mary Lou Soffa, Yanjun Qi
2018	J	`jnl`	Black-box Generation of Adversarial Text Sequences to Evade Deep Learning Classifiers. CoRR Ji Gao, Jack Lanchantin, Mary Lou Soffa, Yanjun Qi
2018	—	`conf`	CloudInsight: Utilizing a Council of Experts to Predict Future Cloud Application Workloads. IEEE CLOUD In Kee Kim, Wei Wang, Yanjun Qi, Marty Humphrey
2018	J	`jnl`	DeepDiff: DEEP-learning for predicting DIFFerential gene expression from histone modifications. Bioinform. Arshdeep Sekhon, Ritambhara Singh, Yanjun Qi
2018	J	`jnl`	DeepDiff: Deep-learning for predicting Differential gene expression from histone modifications. CoRR Arshdeep Sekhon, Ritambhara Singh, Yanjun Qi
2018	A	`conf`	Fast and Scalable Learning of Sparse Changes in High-Dimensional Gaussian Graphical Model Structure. AISTATS Beilun Wang, Arshdeep Sekhon, Yanjun Qi
2018	A*	`conf`	Feature Squeezing: Detecting Adversarial Examples in Deep Neural Networks. NDSS Weilin Xu, David Evans, Yanjun Qi
2017	J	`jnl`	A Constrained, Weighted-L1 Minimization Approach for Joint Discovery of Heterogeneous Neural Connectivity Graphs. CoRR Chandan Singh, Beilun Wang, Yanjun Qi
2017	A	`conf`	A Fast and Scalable Joint Estimator for Learning Multiple Related Sparse Gaussian Graphical Models. AISTATS Beilun Wang, Ji Gao, Yanjun Qi
2017	J	`jnl`	A Fast and Scalable Joint Estimator for Learning Multiple Related Sparse Gaussian Graphical Models. CoRR Beilun Wang, Ji Gao, Yanjun Qi
2017	—	`conf`	A Theoretical Framework for Robustness of (Deep) Classifiers against Adversarial Samples. ICLR (Workshop) Beilun Wang, Ji Gao, Yanjun Qi
2017	J	`jnl`	A constrained $$\ell $$ ℓ 1 minimization approach for estimating multiple sparse Gaussian or nonparanormal graphical models. Mach. Learn. Beilun Wang, Ritambhara Singh, Yanjun Qi
2017	J	`jnl`	Adversarial-Playground: A Visualization Suite Showing How Adversarial Examples Fool Deep Learning. CoRR Andrew P. Norton, Yanjun Qi
2017	J	`jnl`	Adversarial-Playground: A Visualization Suite for Adversarial Sample Generation. CoRR Andrew P. Norton, Yanjun Qi
2017	C	`conf`	Adversarial-Playground: A visualization suite showing how adversarial examples fool deep learning. VizSEC Andrew P. Norton, Yanjun Qi
2017	—	`conf`	Attend and Predict: Understanding Gene Regulation by Selective Attention on Chromatin. NIPS Ritambhara Singh, Jack Lanchantin, Arshdeep Sekhon, Yanjun Qi
2017	J	`jnl`	Attend and Predict: Understanding Gene Regulation by Selective Attention on Chromatin. CoRR Ritambhara Singh, Jack Lanchantin, Arshdeep Sekhon, Yanjun Qi
2017	Misc	`conf`	Deep Motif Dashboard: Visualizing and Understanding Genomic Sequences Using Deep Neural Networks. PSB Jack Lanchantin, Ritambhara Singh, Beilun Wang, Yanjun Qi
2017	—	`conf`	DeepCloak: Masking Deep Neural Network Models for Robustness Against Adversarial Samples. ICLR (Workshop) Ji Gao, Beilun Wang, Zeming Lin, Weilin Xu, Yanjun Qi
2017	J	`jnl`	DeepMask: Masking DNN Models for robustness against adversarial samples. CoRR Ji Gao, Beilun Wang, Yanjun Qi
2017	J	`jnl`	Fast and Scalable Learning of Sparse Changes in High-Dimensional Gaussian Graphical Model Structure. CoRR Beilun Wang, Arshdeep Sekhon, Yanjun Qi
2017	J	`jnl`	Feature Squeezing Mitigates and Detects Carlini/Wagner Adversarial Examples. CoRR Weilin Xu, David Evans, Yanjun Qi
2017	J	`jnl`	Feature Squeezing: Detecting Adversarial Examples in Deep Neural Networks. CoRR Weilin Xu, David Evans, Yanjun Qi
2017	—	`conf`	GaKCo: A Fast Gapped k-mer String Kernel Using Counting. ECML/PKDD (1) Ritambhara Singh, Arshdeep Sekhon, Kamran Kowsari, Jack Lanchantin, Beilun Wang, Yanjun Qi
2017	J	`jnl`	GaKCo: a Fast GApped k-mer string Kernel using COunting. CoRR Ritambhara Singh, Arshdeep Sekhon, Kamran Kowsari, Jack Lanchantin, Beilun Wang, Yanjun Qi
2017	—	`conf`	Memory Matching Networks for Genomic Sequence Classification. ICLR (Workshop) Jack Lanchantin, Ritambhara Singh, Yanjun Qi
2017	J	`jnl`	Memory Matching Networks for Genomic Sequence Classification. CoRR Jack Lanchantin, Ritambhara Singh, Yanjun Qi
2017	J	`jnl`	Prototype Matching Networks for Large-Scale Multi-label Genomic Sequence Classification. CoRR Jack Lanchantin, Arshdeep Sekhon, Ritambhara Singh, Yanjun Qi
2017	J	`jnl`	Style Transfer Generative Adversarial Networks: Learning to Play Chess Differently. CoRR Muthuraman Chidambaram, Yanjun Qi
2016	J	`jnl`	A Theoretical Framework for Robustness of (Deep) Classifiers Under Adversarial Noise. CoRR Beilun Wang, Ji Gao, Yanjun Qi
2016	J	`jnl`	A constrained L1 minimization approach for estimating multiple Sparse Gaussian or Nonparanormal Graphical Models. CoRR Beilun Wang, Ritambhara Singh, Yanjun Qi
2016	A*	`conf`	Automatically Evading Classifiers: A Case Study on PDF Malware Classifiers. NDSS Weilin Xu, Yanjun Qi, David Evans
2016	J	`jnl`	Causality Analysis of Inertial Body Sensors for Multiple Sclerosis Diagnostic Enhancement. IEEE J. Biomed. Health Informatics Jiaqi Gong, Yanjun Qi, Myla D. Goldman, John C. Lach
2016	—	`conf`	Character based String Kernels for Bio-Entity Relation Detection. BioNLP@ACL Ritambhara Singh, Yanjun Qi
2016	J	`jnl`	Deep GDashboard: Visualizing and Understanding Genomic Sequences Using Deep Neural Networks. CoRR Jack Lanchantin, Ritambhara Singh, Beilun Wang, Yanjun Qi
2016	J	`jnl`	Deep Motif: Visualizing Genomic Sequence Classifications. CoRR Jack Lanchantin, Ritambhara Singh, Zeming Lin, Yanjun Qi
2016	J	`jnl`	DeepChrome: Deep-learning for predicting gene expression from histone modifications. CoRR Ritambhara Singh, Jack Lanchantin, Gabriel Robins, Yanjun Qi
2016	J	`jnl`	DeepChrome: deep-learning for predicting gene expression from histone modifications. Bioinform. Ritambhara Singh, Jack Lanchantin, Gabriel Robins, Yanjun Qi
2016	B	`conf`	Empirical Evaluation of Workload Forecasting Techniques for Predictive Cloud Resource Scaling. CLOUD In Kee Kim, Wei Wang, Yanjun Qi, Marty Humphrey
2016	J	`jnl`	Kernelized Information-Theoretic Metric Learning for Cancer Diagnosis Using High-Dimensional Molecular Profiling Data. ACM Trans. Knowl. Discov. Data Feiyu Xiong, Moshe Kam, Leonid Hrebien, Beilun Wang, Yanjun Qi
2016	A*	`conf`	MUST-CNN: A Multilayer Shift-and-Stitch Deep Convolutional Architecture for Sequence-Based Protein Structure Prediction. AAAI Zeming Lin, Jack Lanchantin, Yanjun Qi
2016	J	`jnl`	MUST-CNN: A Multilayer Shift-and-Stitch Deep Convolutional Architecture for Sequence-based Protein Structure Prediction. CoRR Zeming Lin, Jack Lanchantin, Yanjun Qi
2016	J	`jnl`	Piecewise Linear Dynamical Model for Action Clustering from Real-World Deployments of Inertial Body Sensors. IEEE Trans. Affect. Comput. Jiaqi Gong, Philip Asare, Yanjun Qi, John C. Lach
2016	J	`jnl`	Transfer String Kernel for Cross-Context DNA-Protein Binding Prediction. CoRR Ritambhara Singh, Jack Lanchantin, Gabriel Robins, Yanjun Qi
2015	A	`conf`	Association Rule Mining with the Micron Automata Processor. IPDPS Ke Wang, Yanjun Qi, Jeffrey J. Fox, Mircea R. Stan, Kevin Skadron
2015	C	`conf`	Causal analysis of inertial body sensors for enhancing gait assessment separability towards multiple sclerosis diagnosis. BSN Jiaqi Gong, John C. Lach, Yanjun Qi, Myla D. Goldman
2015	A	`conf`	MAPer: A Multi-scale Adaptive Personalized Model for Temporal Human Behavior Prediction. CIKM Sarah Masud Preum, John A. Stankovic, Yanjun Qi
2015	Misc	`conf`	Refining Literature Curated Protein Interactions Using Expert Opinions. Pacific Symposium on Biocomputing Öznur Tastan, Yanjun Qi, Jaime G. Carbonell, Judith Klein-Seetharaman
2014	Misc	`conf`	An Integrated Approach To Blood-Based Cancer Diagnosis And Biomarker Discovery. Pacific Symposium on Biocomputing Martin Renqiang Min, Salim A. Chowdhury, Yanjun Qi, Alex Stewart, Rachel Ostroff
2014	Misc	`conf`	Comprehensive Elastic Resource Management to Ensure Predictable Performance for Scientific Applications on Public IaaS Clouds. UCC In Kee Kim, Jacob Steele, Yanjun Qi, Marty Humphrey
2014	A	`conf`	Deep Learning for Character-Based Information Extraction. ECIR Yanjun Qi, Sujatha G. Das, Ronan Collobert, Jason Weston
2014	A	`conf`	Extracting Researcher Metadata with Labeled Features. SDM Sujatha Das Gollapalli, Yanjun Qi, Prasenjit Mitra, C. Lee Giles
2014	—	`conf`	Piecewise Linear Dynamical Model for Actions Clustering from Inertial Body Sensors with Considerations of Human Factors. BODYNETS Jiaqi Gong, Philip Asare, John C. Lach, Yanjun Qi
2014	A	`conf`	Unsupervised Feature Learning by Deep Sparse Coding. SDM Yunlong He, Koray Kavukcuoglu, Yun Wang, Arthur Szlam, Yanjun Qi
2014	—	`conf`	Unsupervised Feature Learning by Deep Sparse Coding. ICLR (Workshop) Yunlong He, Koray Kavukcuoglu, Yun Wang, Arthur Szlam, Yanjun Qi
2012	Misc	`conf`	Determining Confidence of Predicted Interactions Between HIV-1 and Human Proteins Using Conformal Method. Pacific Symposium on Biocomputing Ilia Nouretdinov, Alex Gammerman, Yanjun Qi, Judith Klein-Seetharaman
2012	B	`conf`	Large-scale image classification using supervised spatial encoder. ICPR Dmitriy Bespalov, Yanjun Qi, Bing Bai, Ali Shokoufandeh
2012	—	`conf`	Learning the Dependency Structure of Latent Factors. NIPS Yunlong He, Yanjun Qi, Koray Kavukcuoglu, Haesun Park
2012	—	`conf`	Retrieving Medical Records with "sennamed": NEC Labs America at TREC 2012 Medical Record Track. TREC Yanjun Qi, Pierre-François Laquerre
2012	—	`conf`	Sentiment Classification with Supervised Sequence Embedding. ECML/PKDD (1) Dmitriy Bespalov, Yanjun Qi, Bing Bai, Ali Shokoufandeh
2011	—	`ch.`	Protein Interaction Networks: Protein Domain Interaction and Protein Function Prediction. Handbook of Statistical Bioinformatics Yanjun Qi, William Stafford Noble
2011	A	`conf`	Semi-Supervised Convolution Graph Kernels for Relation Extraction. SDM Xia Ning, Yanjun Qi
2011	A	`conf`	Sentiment classification based on supervised latent n-gram analysis. CIKM Dmitriy Bespalov, Bing Bai, Yanjun Qi, Ali Shokoufandeh
2011	A	`conf`	Sparse Latent Semantic Analysis. SDM Xi Chen, Yanjun Qi, Bing Bai, Qihang Lin, Jaime G. Carbonell
2010	A*	`conf`	Learning Preferences with Millions of Parameters by Enforcing Sparsity. ICDM Xi Chen, Bing Bai, Yanjun Qi, Qihang Lin, Jaime G. Carbonell
2010	J	`jnl`	Learning to rank with (a lot of) word features. Inf. Retr. Bing Bai, Jason Weston, David Grangier, Ronan Collobert, Kunihiko Sadamasa, Yanjun Qi, Olivier Chapelle, Kilian Q. Weinberger
2010	—	`conf`	Semi-supervised Abstraction-Augmented String Kernel for Multi-level Bio-Relation Extraction. ECML/PKDD (2) Pavel P. Kuksa, Yanjun Qi, Bing Bai, Ronan Collobert, Jason Weston, Vladimir Pavlovic, Xia Ning
2010	A	`conf`	Semi-supervised Bio-named Entity Recognition with Word-Codebook Learning. SDM Pavel P. Kuksa, Yanjun Qi
2010	J	`jnl`	Semi-supervised multi-task learning for predicting interactions between HIV-1 and human proteins. Bioinform. Yanjun Qi, Öznur Tastan, Jaime G. Carbonell, Judith Klein-Seetharaman, Jason Weston
2009	A	`conf`	Combining labeled and unlabeled data with word-class distribution learning. CIKM Yanjun Qi, Ronan Collobert, Pavel P. Kuksa, Koray Kavukcuoglu, Jason Weston
2009	—	`conf`	Polynomial Semantic Indexing. NIPS Bing Bai, Jason Weston, David Grangier, Ronan Collobert, Kunihiko Sadamasa, Yanjun Qi, Corinna Cortes, Mehryar Mohri
2009	Misc	`conf`	Prediction of Interactions Between HIV-1 and Human Proteins by Information Integration. Pacific Symposium on Biocomputing Öznur Tastan, Yanjun Qi, Jaime G. Carbonell, Judith Klein-Seetharaman
2009	A*	`conf`	Semi-Supervised Sequence Labeling with Self-Learned Features. ICDM Yanjun Qi, Pavel P. Kuksa, Ronan Collobert, Kunihiko Sadamasa, Koray Kavukcuoglu, Jason Weston
2009	A	`conf`	Supervised semantic indexing. CIKM Bing Bai, Jason Weston, David Grangier, Ronan Collobert, Kunihiko Sadamasa, Yanjun Qi, Olivier Chapelle, Kilian Q. Weinberger
2008	A	`conf`	Protein complex identification by supervised graph local clustering. ISMB Yanjun Qi, Fernanda Balem, Christos Faloutsos, Judith Klein-Seetharaman, Ziv Bar-Joseph
2007	J	`jnl`	A mixture of feature experts approach for protein-protein interaction prediction. BMC Bioinform. Yanjun Qi, Judith Klein-Seetharaman, Ziv Bar-Joseph
2005	Misc	`conf`	Random Forest Similarity for Protein-Protein Interaction Prediction from Multiple Sources. Pacific Symposium on Biocomputing Yanjun Qi, Judith Klein-Seetharaman, Ziv Bar-Joseph
2004	J	`jnl`	Automated Analysis of Nursing Home Observations. IEEE Pervasive Comput. Alexander G. Hauptmann, Jiang Gao, Rong Yan, Yanjun Qi, Jie Yang, Howard D. Wactlar
2003	A	`conf`	Supervised classification for video shot segmentation. ICME Yanjun Qi, Alexander G. Hauptmann, Ting Liu
2002	—	`conf`	A Probabilistic Model for Camera Zoom Detection. ICPR (3) Rong Jin, Yanjun Qi, Alexander G. Hauptmann
2002	—	`conf`	Video Classification and Retrieval with the Informedia Digital Video Library System. TREC Alexander G. Hauptmann, Rong Yan, Yanjun Qi, Rong Jin, Michael G. Christel, Mark Derthick, Ming-yu Chen, Robert V. Baron, Wei-Hao Lin, Tobun D. Ng
2001	—	`conf`	Video Retrieval with the Informedia Digital Video Library System. TREC Alexander G. Hauptmann, Rong Jin, Norman Papernick, Tobun Dorbin Ng, Yanjun Qi, Ricky Houghton, Sue Thornton