Mengdi Wang
- Visual Adversarial Examples Jailbreak Aligned Large Language Models
2023/06/22 by Xiangyu Qi, Kaixuan Huang, Qi, Xiangyu +8 · 71 citations
Computer Science · #Adversarial Robustness in Machine Learning #Computation and Language (cs.CL) #Cryptography and Security (cs.CR) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Approximation Methods for Bilevel Programming
2018/02/06 by Saeed Ghadimi, Ghadimi, Saeed, Mengdi Wang +1 · 25 citations
Mathematics · Computer Science · Decision Sciences · #Advanced Optimization Algorithms Research #Optimization and Variational Analysis #Risk and Portfolio Optimization
- Evaluating Large Language Models in Scientific Discovery
2025/12/17 by Zhangde Song, Song, Zhangde, Jieyu Lu +109 · 18 voices · 2 citations
Materials Science · Medicine · Social Sciences · #Machine Learning in Materials Science #Artificial Intelligence in Healthcare and Education #Computational and Text Analysis Methods
- Assessing the Brittleness of Safety Alignment via Pruning and Low-Rank Modifications
2024/02/07 by Boyi Wei, Wei, Boyi, Kaixuan Huang +15 · 33 citations
Decision Sciences · Engineering · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Fatigue and fracture mechanics #Machine Learning (cs.LG) #Risk and Safety Analysis
- Score Approximation, Estimation and Distribution Recovery of Diffusion Models on Low-Dimensional Data
2023/02/14 by Minshuo Chen, Kaixuan Huang, Chen, Minshuo +5 · 25 citations
Medicine · Physics and Astronomy · Computer Science · #Advanced Neuroimaging Techniques and Applications #Model Reduction and Neural Networks #Advanced Mathematical Modeling in Engineering
- MaxMin-RLHF: Alignment with Diverse Human Preferences
2024/02/14 by Souradip Chakraborty, Jiahao Qiu, Chakraborty, Souradip +13 · 26 citations
Computer Science · #Topic Modeling #Natural Language Processing Techniques #Speech Recognition and Synthesis
- Fast Best-of-N Decoding via Speculative Rejection
2024/10/26 by Hanshi Sun, Sun, Hanshi, Momin Haider +13 · 36 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · #Cellular Automata and Applications #Computation and Language (cs.CL) #DNA and Biological Computing #Error Correcting Code Techniques #FOS: Computer and information sciences
- Reinforcement Learning in Feature Space: Matrix Bandit, Kernels, and Regret Bound
2019/05/24 by Lin F. Yang, Mengdi Wang, Yang, Lin F. +1 · 16 citations
Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Reinforcement Learning in Robotics
- ChipGPT: How far are we from natural language hardware design
2023/05/23 by Kaiyan Chang, Ying Wang, Chang, Kaiyan +13 · 14 citations
Engineering · #Ferroelectric and Negative Capacitance Devices #Low-power high-performance VLSI design #Advancements in Semiconductor Devices and Circuit Design
- Alita: Generalist Agent Enabling Scalable Agentic Reasoning with Minimal Predefinition and Maximal Self-Evolution
2025/05/26 by J. F. Qiu, Qi Xuan, Qiu, Jiahao +33 · 49 citations
Computer Science · #Evolutionary Algorithms and Applications
- A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence
2025/07/28 by Huan-ang Gao, Gao, Huan-ang, Jiayi Geng +51 · 2 voices · 55 citations
#cs.AI
- Variational Policy Gradient Method for Reinforcement Learning with General Utilities
2020/07/04 by Junyu Zhang, Alec Koppel, Zhang, Junyu +7 · 9 citations
Computer Science · Engineering · #Adaptive Dynamic Programming Control #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics #Traffic control and management
- Embodied LLM Agents Learn to Cooperate in Organized Teams
2024/03/19 by Xudong Guo, Kaixuan Huang, Guo, Xudong +15 · 12 citations
Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Computers and Society (cs.CY) #FOS: Computer and information sciences #Multi-Agent Systems and Negotiation #Multiagent Systems (cs.MA)
- Variance Reduced Value Iteration and Faster Algorithms for Solving Markov Decision Processes
2017/10/27 by Aaron Sidford, Mengdi Wang, Sidford, Aaron +5 · 6 citations
Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning and Algorithms #Optimization and Control (math.OC) #Reinforcement Learning in Robotics
- Unveil Conditional Diffusion Models with Classifier-free Guidance: A Sharp Statistical Theory
2024/03/18 by Hengyu Fu, Zhuoran Yang, Fu, Hengyu +5 · 11 citations
Physics and Astronomy · #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Statistical Mechanics and Entropy #Statistics Theory (math.ST)
- TreeBoN: Enhancing Inference-Time Alignment with Speculative Tree-Search and Best-of-N Sampling
2024/10/18 by Jiahao Qiu, Qiu, Jiahao, Yifu Lu +15 · 14 citations
Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification #Natural Language Processing Techniques #Time Series Analysis and Forecasting
- An Overview of Diffusion Models: Applications, Guided Generation, Statistical Rates and Optimization
2024/04/11 by Minshuo Chen, Mei Song, Chen, Minshuo +5 · 9 citations
Mathematics · Biochemistry, Genetics and Molecular Biology · #Fractional Differential Equations Solutions #Diffusion and Search Dynamics
- Reinforcement Learning with Human Feedback: Learning Dynamic Choices via Pessimism
2023/05/29 by Zihao Li, Li, Zihao, Zhuoran Yang +3 · 7 citations
Computer Science · Energy · Engineering · #Artificial Intelligence (cs.AI) #Energy, Environment, and Transportation Policies #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC) #Reinforcement Learning in Robotics #Smart Grid Energy Management #Statistics Theory (math.ST)
- Latent Collaboration in Multi-Agent Systems
2025/11/25 by Jiaru Zou, Zou, Jiaru, Ruizhong Qiu +23 · 4 voices · 3 citations
Computer Science · #Explainable Artificial Intelligence (XAI) #Multimodal Machine Learning Applications #Topic Modeling #cs.AI #cs.CL #cs.LG
- Stochastic Compositional Gradient Descent: Algorithms for Minimizing Compositions of Expected-Value Functions
2014/11/14 by Mengdi Wang, Wang, Mengdi, Ethan X. Fang +3 · 3 citations
Computer Science · Engineering · Mathematics · #FOS: Computer and information sciences #Machine Learning (stat.ML) #Markov Chains and Monte Carlo Methods #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques
- Emergent Symbolic Mechanisms Support Abstract Reasoning in Large Language Models
2025/02/27 by Yukang Yang, Yang, Yukang, Declan Campbell +10 · 2 voices · 9 citations
Computer Science · Social Sciences · #Explainable Artificial Intelligence (XAI) #Language and cultural evolution #Topic Modeling #cs.AI #cs.CL
- Transfer Q Star: Principled Decoding for LLM Alignment
2024/05/30 by Souradip Chakraborty, Soumya Suvra Ghosal, Chakraborty, Souradip +11 · 1 voice · 8 citations
Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Mathematics, Computing, and Information Processing #Natural Language Processing Techniques #cs.CL #cs.LG
- IterComp: Iterative Composition-Aware Feedback Learning from Model Gallery for Text-to-Image Generation
2024/10/09 by Xinchen Zhang, Ling Yang, Zhang, Xinchen +16 · 1 voice · 4 citations
Computer Science · #Image Retrieval and Classification Techniques #Multimodal Machine Learning Applications #Topic Modeling #cs.CV
- Model-Based Reinforcement Learning with Value-Targeted Regression
2020/06/01 by Alex Ayoub, Ayoub, Alex, Zeyu Jia +7 · 7 citations
Computer Science · Decision Sciences · Engineering · #Advanced Bandit Algorithms Research #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics #Smart Grid Energy Management
- ReasonFlux: Hierarchical LLM Reasoning via Scaling Thought Templates
2025/02/10 by Ling Yang, Yang, Ling, Zhaochen Yu +5 · 13 citations
Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Semantic Web and Ontologies
- Co-Evolving LLM Coder and Unit Tester via Reinforcement Learning
2025/06/03 by Ling Yang, Wang, Yinjie, Ye Tian +6 · 17 citations
Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Software Testing and Debugging Techniques
- Lower Bound On the Computational Complexity of Discounted Markov Decision Problems
2017/05/20 by Yi‐Chen Chen, Mengdi Wang, Chen, Yichen +1 · 2 citations
Computer Science · Mathematics · #Computational Complexity (cs.CC) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Algorithms #Markov Chains and Monte Carlo Methods #Reinforcement Learning in Robotics
- Feature-Based Q-Learning for Two-Player Stochastic Games
2019/06/02 by Zeyu Jia, Jia, Zeyu, Lin F. Yang +3 · 5 citations
Computer Science · Decision Sciences · #Adaptive Dynamic Programming Control #Advanced Bandit Algorithms Research #Computer Science and Game Theory (cs.GT) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics
- Dimensionality Reduction for Stationary Time Series via Stochastic Nonconvex Optimization
2018/03/06 by Minshuo Chen, Lin F. Yang, Chen, Minshuo +5 · 2 citations
Computer Science · Engineering · Mathematics · #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC) #Random Matrices and Applications #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques
- ScoreFlow: Mastering LLM Agent Workflows via Score-based Preference Optimization
2025/02/06 by Yinjie Wang, Ling Yang, Wang, Yinjie +7 · 7 citations
Computer Science · Decision Sciences · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Multi-Agent Systems and Negotiation #Scientific Computing and Data Management #Semantic Web and Ontologies
- Does Thinking More always Help? Mirage of Test-Time Scaling in Reasoning Models
2025/06/04 by Soumya Suvra Ghosal, Ghosal, Soumya Suvra, Chakraborty, Souradip +14 · 12 citations
Computer Science · Social Sciences · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Ethics and Social Impacts of AI #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Mobile Crowdsensing and Crowdsourcing
- Generalized Leverage Score Sampling for Neural Networks
2020/09/21 by Jason D. Lee, Lee, Jason D., Ruoqi Shen +7 · 2 citations
Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Machine Learning and ELM #Stochastic Gradient Optimization Techniques
- Bootstrapping Fitted Q-Evaluation for Off-Policy Inference
2021/02/06 by Botao Hao, Hao, Botao, Xiang Ji +9 · 2 citations
Computer Science · #FOS: Computer and information sciences #FOS: Mathematics #Formal Methods in Verification #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Reinforcement Learning in Robotics #Statistics Theory (math.ST)
- Natural language is not enough: Benchmarking multi-modal generative AI for Verilog generation
2024/07/11 by Kaiyan Chang, Zhirong Chen, Chang, Kaiyan +21 · 4 citations
Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Hardware Architecture (cs.AR) #Natural Language Processing Techniques #Speech and dialogue systems #Topic Modeling
- SAIL: Self-Improving Efficient Online Alignment of Large Language Models
2024/06/21 by Mucong Ding, Ding, Mucong, Souradip Chakraborty +13 · 4 citations
Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Natural Language Processing Techniques #Speech and dialogue systems #Topic Modeling
- On the Convergence and Sample Efficiency of Variance-Reduced Policy Gradient Method
2021/02/17 by Junyu Zhang, Zhang, Junyu, Chengzhuo Ni +7 · 2 citations
Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics #Stochastic Gradient Optimization Techniques
- One-Layer Transformer Provably Learns One-Nearest Neighbor In Context
2024/11/16 by Zihao Li, Li, Zihao, Yuan Cao +13 · 5 citations
Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Neural Networks and Applications #Optimization and Control (math.OC)
- Parameter-Efficient Sparsity for Large Language Models Fine-Tuning
2022/05/23 by Yuchao Li, Fuli Luo, Li, Yuchao +11 · 2 citations
Computer Science · #Topic Modeling #Natural Language Processing Techniques #Multimodal Machine Learning Applications
- FutureX: An Advanced Live Benchmark for LLM Agents in Future Prediction
2025/08/16 by Zhiyuan Zeng, Jiashuo Liu, Zeng, Zhiyuan +53 · 10 citations
Computer Science · Decision Sciences · #Artificial Intelligence (cs.AI) #Blockchain Technology Applications and Security #Data Stream Mining Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Scientific Computing and Data Management
- Biomni: A General-Purpose Biomedical AI Agent
2025/06/02 by Kexin Huang, Serena Zhang, Hanchen Wang +20 · 2 voices · 10 citations
Biochemistry, Genetics and Molecular Biology · Materials Science · #Bioinformatics and Genomic Networks #Machine Learning in Materials Science #Genetics, Bioinformatics, and Biomedical Research
- Training-Free Guidance Beyond Differentiability: Scalable Path Steering with Tree Search in Diffusion and Flow Models
2025/02/17 by Yingqing Guo, Yukang Yang, Guo, Yingqing +5 · 5 citations
Computer Science · Engineering · #Robotic Path Planning Algorithms #Guidance and Control Systems #Spacecraft Dynamics and Control
- Self-Play with Adversarial Critic: Provable and Scalable Offline Alignment for Language Models
2024/06/06 by Xiang Ji, Ji, Xiang, Sanjeev Kulkarni +5 · 3 citations
Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Topic Modeling
- Revolutionizing Reinforcement Learning Framework for Diffusion Large Language Models
2025/09/08 by Ling Yang, Wang, Yinjie, Yang, Ling +8 · 18 citations
Computer Science · #Natural Language Processing Techniques #Text and Document Classification Technologies #Topic Modeling
- A 5' UTR Language Model for Decoding Untranslated Regions of mRNA and Function Predictions
2023/10/05 by Yanyi Chu, Dan Yu, Chu, Yanyi +13 · 2 citations
Biochemistry, Genetics and Molecular Biology · #Artificial Intelligence (cs.AI) #Chemical Synthesis and Analysis #FOS: Computer and information sciences #Machine Learning (cs.LG) #RNA and protein synthesis mechanisms #RNA modifications and cancer
- Long Term Memory: The Foundation of AI Self-Evolution
2024/10/21 by Xun Jiang, Jiang, Xun, Feng Li +25 · 3 citations
Computer Science · #Evolutionary Algorithms and Applications
- Near Sample-Optimal Reduction-based Policy Learning for Average Reward MDP
2022/12/01 by Jinghan Wang, Wang, Jinghan, Mengdi Wang +3 · 2 citations
Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Algorithms #Reinforcement Learning in Robotics
- Sample-Optimal Parametric Q-Learning Using Linearly Additive Features
2019/02/13 by Lin F. Yang, Yang, Lin F., Mengdi Wang +1 · 1 citation
Computer Science · Engineering · #Control Systems and Identification #FOS: Computer and information sciences #Fault Detection and Control Systems #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics
- Adversarial Attacks on Online Learning to Rank with Stochastic Click Models
2023/05/30 by Zichen Wang, Rishab Balasubramanian, Wang, Zichen +9 · 2 citations
Computer Science · Decision Sciences · #Spam and Phishing Detection #Advanced Bandit Algorithms Research #Machine Learning and Algorithms
- COMET: Towards Partical W4A4KV4 LLMs Serving
2024/10/16 by Lian Liu, Liu, Lian, Hongjun Ren +13 · 3 citations
Engineering · Materials Science · Environmental Science · #Advancements in Battery Materials #MXene and MAX Phase Materials #Recycling and Waste Management Techniques
- FoldMark: Protecting Protein Generative Models with Watermarking
2024/10/27 by Zaixi Zhang, Ruofan Jin, Zhang, Zaixi +9 · 3 citations
Computer Science · Biochemistry, Genetics and Molecular Biology · #Advanced Steganography and Watermarking Techniques #Advanced Malware Detection Techniques #DNA and Biological Computing
- A Common Pitfall of Margin-based Language Model Alignment: Gradient Entanglement
2024/10/17 by Hui Yuan, Yifan Zeng, Yuan, Hui +9 · 1 voice · 2 citations
Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #cs.AI #cs.CL #cs.LG
- Make LLM Inference Affordable to Everyone: Augmenting GPU Memory with NDP-DIMM
2025/02/24 by Lian Liu, Shixin Zhao, Liu, Lian +14 · 2 citations
Computer Science · #Advanced Neural Network Applications #C.1.3 #FOS: Computer and information sciences #Hardware Architecture (cs.AR)
- Near-optimal Offline Reinforcement Learning with Linear Representation:\n Leveraging Variance Information with Pessimism
2022/03/11 by Min Yin, Yin, Ming, Yaqi Duan +6 · 1 citation
Computer Science · Decision Sciences · Energy · #Advanced Bandit Algorithms Research #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Energy Efficiency and Management #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics #Stochastic Gradient Optimization Techniques
- Offline Stochastic Shortest Path: Learning, Evaluation and Towards Optimality
2022/06/10 by Ming Yin, Yin, Ming, Wenjing Chen +5 · 1 citation
Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Artificial Intelligence (cs.AI) #Auction Theory and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Mobile Crowdsensing and Crowdsourcing
- Global Convergence in Training Large-Scale Transformers
2024/10/31 by Cheng Gao, Yuan Cao, Gao, Cheng +13 · 2 citations
Computer Science · Engineering · #35Q93 #3D Shape Modeling and Analysis #FOS: Computer and information sciences #FOS: Mathematics #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Statistics Theory (math.ST) #Stochastic Gradient Optimization Techniques
- Double Duality: Variational Primal-Dual Policy Optimization for Constrained Reinforcement Learning
2024/02/16 by Zihao Li, Li, Zihao, Boyi Liu +7 · 1 citation
Computer Science · #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC) #Reinforcement Learning in Robotics
- A First-order Generative Bilevel Optimization Framework for Diffusion Models
2025/02/12 by Quan Xiao, Xiao, Quan, Hui Yuan +11 · 2 citations
Computer Science · Economics, Econometrics and Finance · Engineering · #Advanced Mathematical Modeling in Engineering #Advanced Numerical Methods in Computational Mathematics #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC) #Stochastic processes and financial applications
- Tree Search-Based Evolutionary Bandits for Protein Sequence Optimization
2024/01/08 by Jiahao Qiu, Hui Yuan, Qiu, Jiahao +9 · 1 citation
Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Advanced Multi-Objective Optimization Algorithms #Biomolecules (q-bio.BM) #Evolutionary Algorithms and Applications #FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Offline Multitask Representation Learning for Reinforcement Learning
2024/03/18 by Haque Ishfaq, Thanh Nguyen-Tang, Ishfaq, Haque +11 · 1 citation
Computer Science · #Reinforcement Learning in Robotics
- On Path to Multimodal Historical Reasoning: HistBench and HistAgent
2025/05/26 by J. F. Qiu, Qiu, Jiahao, Fulian Xiao +187 · 3 citations
Computer Science · #Natural Language Processing Techniques #Semantic Web and Ontologies #Topic Modeling
- AI Risk Management Should Incorporate Both Safety and Security
2024/05/29 by Xiangyu Qi, Yangsibo Huang, Qi, Xiangyu +47 · 1 citation
Medicine · Social Sciences · #Artificial Intelligence (cs.AI) #Artificial Intelligence in Healthcare and Education #Cryptography and Security (cs.CR) #Ethics and Social Impacts of AI #FOS: Computer and information sciences
- FlexSBDD: Structure-Based Drug Design with Flexible Protein Modeling
2024/09/29 by Zaixi Zhang, Mengdi Wang, Zhang, Zaixi +3 · 1 citation
Biochemistry, Genetics and Molecular Biology · Computer Science · #Biomolecules (q-bio.BM) #Computational Drug Discovery Methods #FOS: Biological sciences #Microbial Metabolic Engineering and Bioproduction #Protein Structure and Dynamics
- RTLMarker: Protecting LLM-Generated RTL Copyright via a Hardware Watermarking Framework
2025/01/05 by Kun Wang, Wang, Kun, Kaiyan Chang +10 · 1 citation
Computer Science · #Advanced Data Storage Technologies #Artificial Intelligence (cs.AI) #Cryptography and Security (cs.CR) #Digital Rights Management and Security #FOS: Computer and information sciences #Physical Unclonable Functions (PUFs) and Hardware Security
- Single-cell multi-stage spatial evolutional map of esophageal carcinogenesis
2025/03/01 by Jiang Chang, Junting Lu, Qing Liu +26 · 1 voice · 1 citation
Biochemistry, Genetics and Molecular Biology · Medicine · #Cancer Cells and Metastasis #Epigenetics and DNA Methylation #Single-cell and spatial transcriptomics
- Diffusion-Sharpening: Fine-tuning Diffusion Models with Denoising Trajectory Sharpening
2025/02/17 by Ye Tian, Ling Yang, Tian, Ye +9 · 1 citation
Physics and Astronomy · #Model Reduction and Neural Networks
- On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures
2025/01/03 by Ming Yin, Yin, Ming, Mengdi Wang +3 · 1 citation
Computer Science · #Artificial Intelligence (cs.AI) #Evolutionary Algorithms and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural Networks and Applications #Reinforcement Learning in Robotics
- Organic amendment quality and quantity govern microbial necromass contributions to soil carbon sequestration: a meta-analysis
2026/07/20 by Jiaqi Hao, Mengdi Wang, Yiting Chen +12
Agricultural and Biological Sciences · #Soil Carbon and Nitrogen Dynamics #Plant-Microbe Interactions and Immunity #Bioenergy crop production and management