Chen, Tianlong
- Graph Contrastive Learning with Augmentations
2020/10/22 by Yuning You, You, Yuning, Tianlong Chen +9 · 99 citations
Computer Science · #Advanced Graph Neural Networks #Domain Adaptation and Few-Shot Learning #Recommender Systems and Techniques
- H2O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models
2023/06/24 by Zhang, Zhenyu, Sheng, Ying, Zhou, Tianyi +9 · 111 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG)
- Learning to Optimize: A Primer and A Benchmark
2021/03/23 by Tianlong Chen, Xiaohan Chen, Chen, Tianlong +11 · 32 citations
Computer Science · #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Machine Learning and Data Classification #Metaheuristic Optimization Algorithms Research #Optimization and Control (math.OC)
- Anti-Oversmoothing in Deep Vision Transformers via the Fourier Domain Analysis: From Theory to Practice
2022/03/09 by Wang, Peihao, Zheng, Wenqing, Chen, Tianlong +1 · 25 citations
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Graph Contrastive Learning Automated
2021/06/10 by Yuning You, Tianlong Chen, You, Yuning +5 · 22 citations
Computer Science · #Advanced Graph Neural Networks #FOS: Computer and information sciences #Machine Learning (cs.LG)
- TrustLLM: Trustworthiness in Large Language Models
2024/01/01 by Yue Huang, Huang, Yue, Lichao Sun +136 · 30 citations
Medicine · Computer Science · #Artificial Intelligence in Healthcare and Education #Privacy-Preserving Technologies in Data #Explainable Artificial Intelligence (XAI)
- Merge, Then Compress: Demystify Efficient SMoE with Hints from Its Routing Policy
2023/10/02 by Li, Pingzhi, Zhang, Zhenyu, Yadav, Prateek +4 · 23 citations
#Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Cut the Crap: An Economical Communication Pipeline for LLM-based Multi-Agent Systems
2024/10/03 by Guibin Zhang, Zhang, Guibin, Yanwei Yue +15 · 25 citations
Computer Science · Decision Sciences · #Auction Theory and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multi-Agent Systems and Negotiation #Multiagent Systems (cs.MA) #Semantic Web and Ontologies
- The Lottery Ticket Hypothesis for Pre-trained BERT Networks
2020/07/23 by Tianlong Chen, Jonathan Frankle, Chen, Tianlong +10 · 11 citations
Computer Science · #Topic Modeling #Domain Adaptation and Few-Shot Learning #Multimodal Machine Learning Applications
- M3ViT: Mixture-of-Experts Vision Transformer for Efficient Multi-task Learning with Model-Accelerator Co-design
2022/10/26 by Hanxue Liang, Zhiwen Fan, Liang, Hanxue +15 · 12 citations
Computer Science · #Advanced Image and Video Retrieval Techniques #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences
- TFMQ-DM: Temporal Feature Maintenance Quantization for Diffusion Models
2023/11/27 by Yushi Huang, Huang, Yushi, Ruihao Gong +7 · 15 citations
Computer Science · #Advanced Image and Video Retrieval Techniques #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Medical Image Segmentation Techniques
- VLM-3R: Vision-Language Models Augmented with Instruction-Aligned 3D Reconstruction
2025/05/26 by Zhiwen Fan, Jian Zhang, Fan, Zhiwen +27 · 37 citations
Computer Science · #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Multimodal Machine Learning Applications
- GTBench: Uncovering the Strategic Reasoning Limitations of LLMs via Game-Theoretic Evaluations
2024/02/19 by Jinhao Duan, Duan, Jinhao, Renming Zhang +15 · 14 citations
Decision Sciences · #Auction Theory and Applications
- Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark
2024/02/18 by Zhang, Yihua, Li, Pingzhi, Hong, Junyuan +10 · 14 citations
#Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Flex-MoE: Modeling Arbitrary Modality Combination via the Flexible Mixture-of-Experts
2024/10/10 by Sukwon Yun, Yun, Sukwon, Inyoung Choi +14 · 16 citations
Computer Science · #Advanced Clustering Algorithms Research #Topic Modeling #Machine Learning and Data Classification
- G-Designer: Architecting Multi-agent Communication Topologies via Graph Neural Networks
2024/10/15 by Guibin Zhang, Zhang, Guibin, Yanwei Yue +14 · 18 citations
Computer Science · Engineering · #Model-Driven Software Engineering Techniques #Semantic Web and Ontologies #Modular Robots and Swarm Intelligence
- More ConvNets in the 2020s: Scaling up Kernels Beyond 51x51 using Sparsity
2022/07/07 by Shiwei Liu, Tianlong Chen, Liu, Shiwei +15 · 8 citations
Computer Science · Medicine · #Advanced Neural Network Applications #COVID-19 diagnosis using AI #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences
- Adversarial Robustness: From Self-Supervised Pre-Training to Fine-Tuning
2020/03/28 by Tianlong Chen, Chen, Tianlong, Sijia Liu +9 · 6 citations
Computer Science · #Adversarial Robustness in Machine Learning #Advanced Neural Network Applications #Anomaly Detection Techniques and Applications
- The Unreasonable Effectiveness of Random Pruning: Return of the Most Naive Baseline for Sparse Training
2022/02/05 by Liu, Shiwei, Chen, Tianlong, Chen, Xiaohan +4 · 6 citations
#Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Sparse MoE as the New Dropout: Scaling Dense and Self-Slimmable Transformers
2023/03/02 by Tianlong Chen, Chen, Tianlong, Zhenyu Zhang +7 · 7 citations
Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and ELM #Multimodal Machine Learning Applications
- Advancing Model Pruning via Bi-level Optimization
2022/10/08 by Yihua Zhang, Yuguang Yao, Zhang, Yihua +13 · 7 citations
Computer Science · #Advanced Neural Network Applications #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification
- A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment
2025/04/22 by Kun Wang, Guibin Zhang, Wang, Kun +193 · 28 citations
Computer Science · Health Professions · Medicine · #Adversarial Robustness in Machine Learning #Occupational Health and Safety Research #Artificial Intelligence in Healthcare and Education
- A Unified Lottery Ticket Hypothesis for Graph Neural Networks
2021/02/12 by Chen, Tianlong, Sui, Yongduo, Chen, Xuxi +2 · 5 citations
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- A Comprehensive Study on Large-Scale Graph Training: Benchmarking and Rethinking
2022/10/14 by Keyu Duan, Zirui Liu, Duan, Keyu +13 · 6 citations
Computer Science · Engineering · #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Ferroelectric and Negative Capacitance Devices #Machine Learning (cs.LG) #Stochastic Gradient Optimization Techniques
- Augmentations in Hypergraph Contrastive Learning: Fabricated and Generative
2022/10/07 by Tianxin Wei, Wei, Tianxin, Yuning You +9 · 7 citations
Computer Science · #Multimodal Machine Learning Applications #Advanced Graph Neural Networks #Topic Modeling
- Chasing Sparsity in Vision Transformers: An End-to-End Exploration
2021/06/08 by Tianlong Chen, Yu Cheng, Chen, Tianlong +9 · 5 citations
Computer Science · Engineering · #Advanced Memory and Neural Computing #Advanced Neural Network Applications #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Visual Attention and Saliency Detection
- "Glue pizza and eat rocks" -- Exploiting Vulnerabilities in Retrieval-Augmented Generative Models
2024/06/26 by Tan, Zhen, Zhao, Chengshuai, Moraffah, Raha +5 · 11 citations
#Artificial Intelligence (cs.AI) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences
- Robust Mixture-of-Expert Training for Convolutional Neural Networks
2023/08/19 by Zhang, Yihua, Cai, Ruisi, Chen, Tianlong +6 · 7 citations
#Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- ABD-Net: Attentive but Diverse Person Re-Identification
2019/08/03 by Chen, Tianlong, Ding, Shaojin, Xie, Jingyi +5 · 4 citations
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
- Unified Visual Transformer Compression
2022/03/15 by Shixing Yu, Yu, Shixing, Tianlong Chen +13 · 5 citations
Computer Science · #Advanced Neural Network Applications #Visual Attention and Saliency Detection #Image Enhancement Techniques
- In Prospect and Retrospect: Reflective Memory Management for Long-term Personalized Dialogue Agents
2025/03/11 by Tan, Zhen, Yan, Jun, Hsu, I-Hung +12 · 17 citations
#Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences
- Self-PU: Self Boosted and Calibrated Positive-Unlabeled Training
2020/06/22 by Chen, Xuxi, Chen, Wuyang, Chen, Tianlong +4 · 4 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- A Survey on Trustworthy LLM Agents: Threats and Countermeasures
2025/03/12 by Miao Yu, Fanci Meng, Yu, Miao +21 · 16 citations
Computer Science · Social Sciences · #Explainable Artificial Intelligence (XAI) #Big Data and Digital Economy #Ethics and Social Impacts of AI
- DALK: Dynamic Co-Augmentation of LLMs and KG to answer Alzheimer's Disease Questions with Scientific Literature
2024/05/08 by Dawei Li, Yang Shu, Li, Dawei +21 · 9 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · #Artificial Intelligence (cs.AI) #Biomedical Text Mining and Ontologies #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Semantic Web and Ontologies
- A Survey on Model MoErging: Recycling and Routing Among Specialized Experts for Collaborative Learning
2024/08/13 by Prateek Yadav, Yadav, Prateek, Colin Raffel +14 · 9 citations
Psychology · #Innovative Teaching and Learning Methods
- The Lottery Tickets Hypothesis for Supervised and Self-supervised Pre-training in Computer Vision Models
2020/12/12 by Tianlong Chen, Chen, Tianlong, Jonathan Frankle +11 · 6 citations
Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE)
- Political-LLM: Large Language Models in Political Science
2024/12/09 by Li, Lincan, Li, Jiaqi, Chen, Catherine +44 · 10 citations
#Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences
- Facial Affective Behavior Analysis with Instruction Tuning
2024/04/07 by Li, Yifan, Dao, Anh, Bao, Wentao +4 · 6 citations
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
- Symbolic Mixture-of-Experts: Adaptive Skill-based Routing for Heterogeneous Reasoning
2025/03/07 by Chen, Justin Chih-Yao, Yun, Sukwon, Stengel-Eskin, Elias +2 · 11 citations
#Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Once-for-All Adversarial Training: In-Situ Tradeoff between Robustness and Accuracy for Free
2020/10/22 by Haotao Wang, Wang, Haotao, Tianlong Chen +9 · 3 citations
Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Is C4 Dataset Optimal for Pruning? An Investigation of Calibration Data for LLM Pruning
2024/10/09 by Abhinav Bandari, Lu Yin, Bandari, Abhinav +13 · 6 citations
Engineering · #Advanced Surface Polishing Techniques #Computation and Language (cs.CL) #FOS: Computer and information sciences #Metallurgical Processes and Thermodynamics #Mineral Processing and Grinding
- QuantMoE-Bench: Examining Post-Training Quantization for Mixture-of-Experts
2024/06/12 by Pingzhi Li, Xiaolong Jin, Li, Pingzhi +6 · 6 citations
Decision Sciences · #Forecasting Techniques and Applications #Advanced Bandit Algorithms Research
- Linearity Grafting: Relaxed Neuron Pruning Helps Certifiable Robustness
2022/06/15 by Tianlong Chen, Chen, Tianlong, Huan Zhang +11 · 3 citations
Computer Science · #Adversarial Robustness in Machine Learning #Advanced Neural Network Applications
- Can pruning improve certified robustness of neural networks?
2022/06/15 by Zhangheng Li, Li, Zhangheng, Tianlong Chen +7 · 3 citations
Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Aug-NeRF: Training Stronger Neural Radiance Fields with Triple-Level Physically-Grounded Augmentations
2022/07/04 by Tianlong Chen, Peihao Wang, Chen, Tianlong +4 · 3 citations
Computer Science · Engineering · #3D Shape Modeling and Analysis #Advanced Vision and Imaging #Computer Graphics and Visualization Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
- Word-Sequence Entropy: Towards Uncertainty Estimation in Free-Form Medical Question Answering Applications and Beyond
2024/02/22 by Wang, Zhiyuan, Duan, Jinhao, Yuan, Chenxi +6 · 5 citations
#Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Graph Sparsification via Mixture of Graphs
2024/05/23 by Zhang, Guibin, Sun, Xiangguo, Yue, Yanwei +4 · 5 citations
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Training Stronger Baselines for Learning to Optimize
2020/10/18 by Tianlong Chen, Chen, Tianlong, Weiyi Zhang +11 · 3 citations
Computer Science · #Advanced Neural Network Applications #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Algorithms #Machine Learning and Data Classification
- Agents Under Siege: Breaking Pragmatic Multi-Agent LLM Systems with Optimized Prompt Attacks
2025/03/31 by Khan, Rana Muhammad Shahroz, Tan, Zhen, Yun, Sukwon +2 · 7 citations
#Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multiagent Systems (cs.MA)
- Enhancing NeRF akin to Enhancing LLMs: Generalizable NeRF Transformer with Mixture-of-View-Experts
2023/08/22 by Wenyan Cong, Cong, Wenyan, Hanxue Liang +13 · 3 citations
Computer Science · #Advanced Image and Video Retrieval Techniques #Advanced Vision and Imaging #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis
- FlowTS: Time Series Generation via Rectified Flow
2024/11/12 by Yang Hu, Xiao Wang, Hu, Yang +14 · 5 citations
Computer Science · Decision Sciences · #Time Series Analysis and Forecasting #Stock Market Forecasting Methods #Anomaly Detection Techniques and Applications
- Symbiotic Cooperation for Web Agents: Harnessing Complementary Strengths of Large and Small LLMs
2025/02/11 by Ruichen Zhang, Zhang, Ruichen, Qiu, Mufan +14 · 7 citations
Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multiagent Systems (cs.MA) #Spam and Phishing Detection #Topic Modeling #Web Data Mining and Analysis
- DLF: Disentangled-Language-Focused Multimodal Sentiment Analysis
2024/12/16 by Pan Wang, Qiang Zhou, Wang, Pan +7 · 6 citations
Computer Science · Social Sciences · #Sentiment Analysis and Opinion Mining #Hate Speech and Cyberbullying Detection #Computational and Text Analysis Methods
- DLO: Dynamic Layer Operation for Efficient Vertical Scaling of LLMs
2024/07/03 by Tan, Zhen, Dong, Daize, Zhao, Xinyu +3 · 4 citations
#Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Peeling the Onion: Hierarchical Reduction of Data Redundancy for Efficient Vision Transformer Training
2022/11/19 by Zhenglun Kong, Kong, Zhenglun, Haoyu Ma +27 · 3 citations
Engineering · Computer Science · #Advanced Image Fusion Techniques #CCD and CMOS Imaging Sensors #Image Enhancement Techniques
- Playing Lottery Tickets with Vision and Language
2021/04/23 by Gan, Zhe, Chen, Yen-Chun, Li, Linjie +6 · 2 citations
#Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Efficient Lottery Ticket Finding: Less Data is More
2021/06/06 by Zhang, Zhenyu, Chen, Xuxi, Chen, Tianlong +1 · 2 citations
#Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- CAP: Co-Adversarial Perturbation on Weights and Features for Improving Generalization of Graph Neural Networks
2021/10/28 by Haotian Xue, Kaixiong Zhou, Xue, Haotian +11 · 2 citations
Computer Science · Materials Science · #Advanced Graph Neural Networks #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Materials Science
- MedHallu: A Comprehensive Benchmark for Detecting Medical Hallucinations in Large Language Models
2025/02/20 by Pandit, Shrey, Xu, Jiawei, Hong, Junyuan +4 · 5 citations
#Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- VGAI: End-to-End Learning of Vision-Based Decentralized Controllers for Robot Swarms
2020/02/06 by Ting-Kuei Hu, Hu, Ting-Kuei, Fernando Gama +9 · 1 voice · 1 citation
Computer Science · Engineering · Neuroscience · #Distributed Control Multi-Agent Systems #UAV Applications and Optimization #Cerebrospinal fluid and hydrocephalus
- PCAL: A Privacy-preserving Intelligent Credit Risk Modeling Framework Based on Adversarial Learning
2020/10/06 by Yuli Zheng, Zhenyu Wu, Zheng, Yuli +7 · 2 citations
Computer Science · Medicine · #Privacy-Preserving Technologies in Data #Artificial Intelligence in Healthcare and Education #Cryptography and Data Security
- I2MoE: Interpretable Multimodal Interaction-aware Mixture-of-Experts
2025/05/25 by Jiayi Xin, Xin, Jiayi, Jie Peng +10 · 6 citations
Computer Science · #Speech and dialogue systems
- Knowledge-Driven Feature Selection and Engineering for Genotype Data with Large Language Models
2024/10/02 by Joseph Lee, Lee, Joseph, Shu Yang +19 · 1 voice · 3 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · #Computation and Language (cs.CL) #FOS: Biological sciences #FOS: Computer and information sciences #Genomics (q-bio.GN) #Machine Learning (cs.LG) #cs.CL #cs.LG #q-bio.GN
- Towards Stabilized and Efficient Diffusion Transformers through Long-Skip-Connections with Spectral Constraints
2024/11/26 by Chen, Guanjie, Zhao, Xinyu, Zhou, Yucheng +3 · 4 citations
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
- SConU: Selective Conformal Uncertainty in Large Language Models
2025/04/19 by Wang, Zhiyuan, Wang, Qingni, Zhang, Yue +4 · 6 citations
#Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Take the Bull by the Horns: Hard Sample-Reweighted Continual Training Improves LLM Generalization
2024/02/22 by Xuxi Chen, Chen, Xuxi, Zhendong Wang +13 · 2 citations
Computer Science · Medicine · #Artificial Intelligence in Healthcare and Education #COVID-19 diagnosis using AI #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification
- L2-GCN: Layer-Wise and Learned Efficient Training of Graph Convolutional Networks
2020/03/30 by You, Yuning, Chen, Tianlong, Wang, Zhangyang +1 · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- AnyMAC: Cascading Flexible Multi-Agent Collaboration via Next-Agent Prediction
2025/06/21 by Wang, Song, Tan, Zhen, Chen, Zihan +3 · 9 citations
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences
- When Does Self-Supervision Help Graph Convolutional Networks?
2020/06/16 by You, Yuning, Chen, Tianlong, Wang, Zhangyang +1 · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Bag of Tricks for Training Deeper Graph Neural Networks: A Comprehensive Benchmark Study
2021/08/24 by Tianlong Chen, Kaixiong Zhou, Chen, Tianlong +11 · 1 citation
Computer Science · Materials Science · #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Graph Theory and Algorithms #Machine Learning (cs.LG) #Machine Learning in Materials Science
- Sparse and Imperceptible Adversarial Attack via a Homotopy Algorithm
2021/06/10 by Zhu, Mingkang, Chen, Tianlong, Wang, Zhangyang · 1 citation
#Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Adversarial Feature Augmentation and Normalization for Visual Recognition
2021/03/22 by Chen, Tianlong, Cheng, Yu, Gan, Zhe +4 · 1 citation
#Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- "BNN - BN = ?": Training Binary Neural Networks without Batch Normalization
2021/04/16 by Chen, Tianlong, Zhang, Zhenyu, Ouyang, Xu +3 · 1 citation
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Self-Damaging Contrastive Learning
2021/06/06 by Ziyu Jiang, Tianlong Chen, Jiang, Ziyu +5 · 1 citation
Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning and ELM #Multimodal Machine Learning Applications
- Sanity Checks for Lottery Tickets: Does Your Winning Ticket Really Win the Jackpot?
2021/07/01 by Ma, Xiaolong, Yuan, Geng, Shen, Xuan +8 · 1 citation
#Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Visual Prompting Upgrades Neural Network Sparsification: A Data-Model Perspective
2023/12/03 by Can Jin, Tianjin Huang, Jin, Can +11 · 2 citations
Computer Science · #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification
- UProp: Investigating the Uncertainty Propagation of LLMs in Multi-Step Agentic Decision-Making
2025/06/20 by Duan, Jinhao, Diffenderfer, James, Madireddy, Sandeep +3 · 4 citations
#Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Improving Contrastive Learning on Imbalanced Seed Data via Open-World Sampling
2021/11/01 by Jiang, Ziyu, Chen, Tianlong, Chen, Ting +1 · 1 citation
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
- Don't Be So Dense: Sparse-to-Sparse GAN Training Without Sacrificing Performance
2022/03/05 by Shiwei Liu, Liu, Shiwei, Yuesong Tian +5 · 1 citation
Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Music and Audio Processing #Speech and Audio Processing
- Symbolic Learning to Optimize: Towards Interpretability and Scalability
2022/03/13 by Wei‐Jun Zheng, Tianlong Chen, Zheng, Wenqing +5 · 1 citation
Computer Science · #Advanced Multi-Objective Optimization Algorithms #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification #Stochastic Gradient Optimization Techniques
- The Principle of Diversity: Training Stronger Vision Transformers Calls for Reducing All Levels of Redundancy
2022/03/12 by Chen, Tianlong, Zhang, Zhenyu, Cheng, Yu +2 · 1 citation
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Coarsening the Granularity: Towards Structurally Sparse Lottery Tickets
2022/02/09 by Tianlong Chen, Chen, Tianlong, Xuxi Chen +7 · 1 citation
Computer Science · #Artificial Intelligence (cs.AI) #Data Visualization and Analytics #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Video Analysis and Summarization
- AudioTrust: Benchmarking the Multifaceted Trustworthiness of Audio Large Language Models
2025/05/22 by Li, Kai, Shen, Can, Liu, Yile +31 · 5 citations
#Artificial Intelligence (cs.AI) #Audio and Speech Processing (eess.AS) #Computation and Language (cs.CL) #FOS: Computer and information sciences #FOS: Electrical engineering #Sound (cs.SD) #electronic engineering #information engineering
- Stable-SPAM: How to Train in 4-Bit More Stably than 16-Bit Adam
2025/02/24 by Huang, Tianjin, Hu, Haotian, Zhang, Zhenyu +8 · 3 citations
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- VAQF: Fully Automatic Software-Hardware Co-Design Framework for Low-Bit Vision Transformer
2022/01/17 by Sun, Mengshu, Ma, Haoyu, Kang, Guoliang +5 · 1 citation
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Sparsity Winning Twice: Better Robust Generalization from More Efficient Training
2022/02/20 by Chen, Tianlong, Zhang, Zhenyu, Wang, Pengjun +4 · 1 citation
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- M-L2O: Towards Generalizable Learning-to-Optimize by Test-Time Fast Self-Adaptation
2023/02/28 by Junjie Yang, Xuxi Chen, Yang, Junjie +7 · 1 citation
Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #Metaheuristic Optimization Algorithms Research
- Optimizer Amalgamation
2022/03/12 by Huang, Tianshu, Chen, Tianlong, Liu, Sijia +3 · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG)
- Is Attention All That NeRF Needs?
2022/07/27 by Mukund Varma T, Peihao Wang, T, Mukund Varma +9 · 1 citation
Computer Science · Engineering · #3D Shape Modeling and Analysis #Advanced Vision and Imaging #Computer Graphics and Visualization Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
- Harnessing Your DRAM and SSD for Sustainable and Accessible LLM Inference with Mixed-Precision and Multi-level Caching
2024/10/17 by Peng, Jie, Cao, Zhang, Qu, Huaizhi +5 · 2 citations
#Distributed #FOS: Computer and information sciences #Machine Learning (cs.LG) #Parallel #and Cluster Computing (cs.DC)
- Quarantine: Sparsity Can Uncover the Trojan Attack Trigger for Free
2022/05/24 by Chen, Tianlong, Zhang, Zhenyu, Zhang, Yihua +3 · 1 citation
#Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Neural Implicit Dictionary via Mixture-of-Expert Training
2022/07/08 by Wang, Peihao, Fan, Zhiwen, Chen, Tianlong +1 · 1 citation
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
- Training Your Sparse Neural Network Better with Any Mask
2022/06/26 by Ajay Jaiswal, Haoyu Ma, Jaiswal, Ajay +7 · 1 citation
Computer Science · #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Human Pose and Action Recognition
- Tuning-Free Accountable Intervention for LLM Deployment -- A Metacognitive Approach
2024/03/08 by Zhen Tan, Jie Peng, Tan, Zhen +5 · 2 citations
Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Digital Rights Management and Security #FOS: Computer and information sciences #Multi-Agent Systems and Negotiation
- Old can be Gold: Better Gradient Flow can Make Vanilla-GCNs Great Again
2022/10/14 by Ajay Jaiswal, Jaiswal, Ajay, Peihao Wang +8 · 1 citation
Computer Science · Neuroscience · #Advanced Graph Neural Networks #Brain Tumor Detection and Classification #FOS: Computer and information sciences #Machine Learning (cs.LG) #Social and Information Networks (cs.SI)
- Aurora-M: Open Source Continual Pre-training for Multilingual Language and Code
2024/03/30 by Nakamura, Taishi, Mishra, Mayank, Tedeschi, Simone +42 · 2 citations
#Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Scalable Perception-Action-Communication Loops with Convolutional and Graph Neural Networks
2021/06/24 by Hu, Ting-Kuei, Gama, Fernando, Chen, Tianlong +4 · 1 citation
#FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Multiagent Systems (cs.MA) #Robotics (cs.RO) #Signal Processing (eess.SP) #Systems and Control (eess.SY) #electronic engineering #information engineering
- Learning to Generalize Provably in Learning to Optimize
2023/02/22 by Yang, Junjie, Chen, Tianlong, Zhu, Mingkang +4 · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- SDoH-GPT: Using Large Language Models to Extract Social Determinants of Health (SDoH)
2024/07/24 by Consoli, Bernardo, Wu, Xizhi, Wang, Song +10 · 2 citations
#Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences
- The Wolf Within: Covert Injection of Malice into MLLM Societies via an MLLM Operative
2024/02/20 by Tan, Zhen, Zhao, Chengshuai, Moraffah, Raha +4 · 1 citation
#Artificial Intelligence (cs.AI) #Computers and Society (cs.CY) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Instant Soup: Cheap Pruning Ensembles in A Single Pass Can Draw Lottery Tickets from Large Models
2023/06/18 by Jaiswal, Ajay, Liu, Shiwei, Chen, Tianlong +2 · 1 citation
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Sparsity May Cry: Let Us Fail (Current) Sparse Neural Networks Together!
2023/03/03 by Liu, Shiwei, Chen, Tianlong, Zhang, Zhenyu +4 · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG)
- Finding Fantastic Experts in MoEs: A Unified Study for Expert Dropping Strategies and Observations
2025/04/08 by Jaiswal, Ajay, Wang, Jianyu, Li, Yixiao +6 · 3 citations
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- The Emergence of Essential Sparsity in Large Pre-trained Models: The Weights that Matter
2023/06/06 by Ajay Jaiswal, Shiwei Liu, Jaiswal, Ajay +5 · 1 citation
Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Speech Recognition and Synthesis #Topic Modeling
- Layer-Level Self-Exposure and Patch: Affirmative Token Mitigation for Jailbreak Attack Defense
2025/01/05 by Yang Ouyang, Hengfei Gu, Ouyang, Yang +13 · 2 citations
Computer Science · #Physical Unclonable Functions (PUFs) and Hardware Security #Adversarial Robustness in Machine Learning #Cryptographic Implementations and Security
- COIN: Uncertainty-Guarding Selective Question Answering for Foundation Models with Provable Risk Guarantees
2025/06/25 by Wang, Zhiyuan, Duan, Jinhao, Wang, Qingni +4 · 7 citations
#Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Mew: Multiplexed Immunofluorescence Image Analysis through an Efficient Multiplex Network
2024/07/25 by Yun, Sukwon, Peng, Jie, Trevino, Alexandro E. +2 · 1 citation
#Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
- QuanGCN: Noise-Adaptive Training for Robust Quantum Graph Convolutional Networks
2022/11/09 by Zhou, Kaixiong, Zhang, Zhenyu, Chen, Shengyuan +4 · 1 citation
#FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Quantum Physics (quant-ph)
- Sparsity-Guided Holistic Explanation for LLMs with Interpretable Inference-Time Intervention
2023/12/22 by Tan, Zhen, Chen, Tianlong, Zhang, Zhenyu +1 · 1 citation
#Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences
- DD-Ranking: Rethinking the Evaluation of Dataset Distillation
2025/05/19 by Li, Zekai, Zhong, Xinhao, Khaki, Samir +49 · 3 citations
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
- BPO: Towards Balanced Preference Optimization between Knowledge Breadth and Depth in Alignment
2024/11/16 by Sizhe Wang, Yunze Tong, Wang, Sizhe +9 · 2 citations
Engineering · #Advanced Manufacturing and Logistics Optimization #Computation and Language (cs.CL) #FOS: Computer and information sciences #Manufacturing Process and Optimization #Optimization and Packing Problems
- IndustryEQA: Pushing the Frontiers of Embodied Question Answering in Industrial Scenarios
2025/05/27 by Yifan Li, Yuehe Chen, Li, Yifan +12 · 4 citations
Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Speech and dialogue systems
- Triple Wins: Boosting Accuracy, Robustness and Efficiency Together by Enabling Input-Adaptive Inference
2020/02/24 by Ting-Kuei Hu, Tianlong Chen, Hu, Ting-Kuei +5 · 2 citations
Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Contextualization Distillation from Large Language Model for Knowledge Graph Completion
2024/01/28 by Li, Dawei, Tan, Zhen, Chen, Tianlong +1 · 1 citation
#Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences
- MerRec: A Large-scale Multipurpose Mercari Dataset for Consumer-to-Consumer Recommendation Systems
2024/02/22 by Li, Lichi, Din, Zainul Abi, Tan, Zhen +3 · 1 citation
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Information Retrieval (cs.IR)
- Rethinking PGD Attack: Is Sign Function Necessary?
2023/12/03 by Junjie Yang, Tianlong Chen, Yang, Junjie +7 · 1 citation
Computer Science · #Adversarial Robustness in Machine Learning #Advanced Neural Network Applications #Domain Adaptation and Few-Shot Learning
- Privacy-preserving Fine-tuning of Large Language Models through Flatness
2024/03/07 by Chen, Tiejin, Da, Longchao, Zhou, Huixue +4 · 1 citation
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #I.2
- Proactive Privacy Amnesia for Large Language Models: Safeguarding PII with Negligible Impact on Model Utility
2025/02/24 by Martin Kuo, Jingyang Zhang, Kuo, Martin +21 · 2 citations
Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Privacy-Preserving Technologies in Data
- FFN-SkipLLM: A Hidden Gem for Autoregressive Decoding with Adaptive Feed Forward Skipping
2024/04/05 by Ajay Jaiswal, Bodun Hu, Jaiswal, Ajay +11 · 1 citation
Computer Science · #Algorithms and Data Compression #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Speech Recognition and Synthesis
MoE-RBench: Towards Building Reliable Language Models with Sparse Mixture-of-Experts
2024/06/17 by Guanjie Chen, Chen, Guanjie, Xinyu Zhao +5 · 1 citation
Computer Science · #Topic Modeling #Machine Learning in Healthcare
- Adapt-∞: Scalable Continual Multimodal Instruction Tuning via Dynamic Data Selection
2024/10/14 by Maharana, Adyasha, Yoon, Jaehong, Chen, Tianlong +1 · 1 citation
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Jim137/qkan: v0.1.0
2025/09/17 by Jiun-Cheng Jiang, Morris Yu-Chao Huang, Jiang, Jiun-Cheng +5 · 2 citations
Computer Science · Physics and Astronomy · #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Quantum Computing Algorithms and Architecture #Quantum Information and Cryptography #Quantum Physics (quant-ph) #Quantum many-body systems
- Model-GLUE: Democratized LLM Scaling for A Large Model Zoo in the Wild
2024/10/07 by Zhao, Xinyu, Sun, Guoheng, Cai, Ruisi +13 · 1 citation
#Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- FairSkin: Fair Diffusion for Skin Disease Image Generation
2024/10/29 by Ruichen Zhang, Yuguang Yao, Zhang, Ruichen +15 · 1 citation
Computer Science · Medicine · #AI in cancer detection #Computer Vision and Pattern Recognition (cs.CV) #Cutaneous Melanoma Detection and Management #FOS: Computer and information sciences
- GDeR: Safeguarding Efficiency, Balancing, and Robustness via Prototypical Graph Pruning
2024/10/17 by Guibin Zhang, Haonan Dong, Zhang, Guibin +17 · 1 citation
Computer Science · #Software Engineering Research
- More is Less: The Pitfalls of Multi-Model Synthetic Preference Data in DPO Safety Alignment
2025/04/03 by Yifan Wang, Runjin Chen, Wang, Yifan +17 · 2 citations
Computer Science · Decision Sciences · Engineering · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Risk and Safety Analysis #Safety Systems Engineering in Autonomy #Software Reliability and Analysis Research
- AsyncSpade: Efficient Test-Time Scaling with Asynchronous Sparse Decoding
2025/10/08 by Yilin Guan, Luo, Shuqing, Pingzhi Li +6 · 1 citation
Computer Science · #Parallel Computing and Optimization Techniques #Advanced Data Storage Technologies #Advanced Neural Network Applications
- Occult: Optimizing Collaborative Communication across Experts for Accelerated Parallel MoE Training and Inference
2025/05/19 by Luo, Shuqing, Li, Pingzhi, Peng, Jie +7 · 2 citations
#Distributed #FOS: Computer and information sciences #Machine Learning (cs.LG) #Parallel #and Cluster Computing (cs.DC)
- The Efficiency vs. Accuracy Trade-off: Optimizing RAG-Enhanced LLM Recommender Systems Using Multi-Head Early Exit
2025/01/04 by Huixue Zhou, Hengrui Gu, Zhou, Huixue +32 · 1 citation
Computer Science · #Natural Language Processing Techniques #Topic Modeling #Digital Rights Management and Security
- GroverGPT: A Large Language Model with 8 Billion Parameters for Quantum Searching
2024/12/30 by Wang, Haoran, Li, Pingzhi, Chen, Min +3 · 1 citation
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Quantum Physics (quant-ph)
- OR-R1: Automating Modeling and Solving of Operations Research Optimization Problem via Test-Time Reinforcement Learning
2025/11/12 by Ding, Zezhen, Tan, Zhen, Zhang, Jiheng +1 · 1 citation
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #FOS: Mathematics #Optimization and Control (math.OC)
- FaithCoT-Bench: Benchmarking Instance-Level Faithfulness of Chain-of-Thought Reasoning
2025/10/05 by Xu Shen, Shen, Xu, Song Wang +11 · 2 citations
Social Sciences · #Artificial Intelligence (cs.AI) #Evolutionary Game Theory and Cooperation #FOS: Computer and information sciences #Religion, Spirituality, and Psychology
- LEC: Linear Expectation Constraints for Selection-Conditioned Risk Control in Selective Prediction and Routing Systems
2025/12/01 by Zhiyuan Wang, Wang, Zhiyuan, Tianlong Chen +10 · 1 citation
Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Topic Modeling
- Advancing MoE Efficiency: A Collaboration-Constrained Routing (C2R) Strategy for Better Expert Parallelism Design
2025/04/02 by Zhang, Mohan, Li, Pingzhi, Peng, Jie +2 · 2 citations
#Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Distributed #FOS: Computer and information sciences #Machine Learning (cs.LG) #Parallel #and Cluster Computing (cs.DC)
- DOGe: Defensive Output Generation for LLM Protection Against Knowledge Distillation
2025/05/26 by Li, Pingzhi, Tan, Zhen, Zhang, Mohan +3 · 2 citations
#Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)