Mengdi Wang

ORCID

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 267

Top Venues

Massachusetts Institute of Technology, Cambridge, MA, USA (PHD)

Education History

Massachusetts Institute of Technology, Cambridge, MA, USA

PHD

Publications

Kaixuan Huang, Yuanhao Qu, Henry Cousins, William A. Johnson, Di Yin, Mihir Shah, Denny Zhou, Russ B. Altman, Mengdi Wang, Le Cong
CRISPR-GPT: An LLM Agent for Automated Design of Gene-Editing Experiments. CoRR (2024)
Zheng Yu, Junyu Zhang, Zheng Wen, Andrea Tacchetti, Mengdi Wang, Ian Gemp
Teamwork Reinforcement Learning With Concave Utilities. IEEE Trans. Mob. Comput. 23 (5) (2024)
Josepha Godivier, Elizabeth A. Lawrence, Mengdi Wang, Chrissy L. Hammond, Niamh C. Nowlan
Compressive stress gradients direct mechanoregulation of anisotropic growth in the zebrafish jaw joint. PLoS Comput. Biol. 20 (2) (2024)
Yuchen Wu, Minshuo Chen, Zihao Li, Mengdi Wang, Yuting Wei
Theoretical Insights for Diffusion Guidance: A Case Study for Gaussian Mixture Models. CoRR (2024)
Xiangyu Qi, Yangsibo Huang, Yi Zeng, Edoardo Debenedetti, Jonas Geiping, Luxi He, Kaixuan Huang, Udari Madhushani, Vikash Sehwag, Weijia Shi, Boyi Wei, Tinghao Xie, Danqi Chen, Pin-Yu Chen, Jeffrey Ding, Ruoxi Jia, Jiaqi Ma, Arvind Narayanan, Weijie J. Su, Mengdi Wang, Chaowei Xiao, Bo Li, Dawn Song, Peter Henderson, Prateek Mittal
AI Risk Management Should Incorporate Both Safety and Security. CoRR (2024)
Kaiyan Chang, Zhirong Chen, Yunhao Zhou, Wenlong Zhu, Kun Wang, Haobo Xu, Cangyuan Li, Mengdi Wang, Shengwen Liang, Huawei Li, Yinhe Han, Ying Wang
Natural language is not enough: Benchmarking multi-modal generative AI for Verilog generation. CoRR (2024)
Xudong Guo, Kaixuan Huang, Jiale Liu, Wenhui Fan, Natalia Vélez, Qingyun Wu, Huazheng Wang, Thomas L. Griffiths, Mengdi Wang
Embodied LLM Agents Learn to Cooperate in Organized Teams. CoRR (2024)
Zihao Li, Xiang Ji, Minshuo Chen, Mengdi Wang
Policy Evaluation for Reinforcement Learning from Human Feedback: A Sample Complexity Analysis. AISTATS (2024)
Kaixuan Huang, Xudong Guo, Mengdi Wang
SpecDec++: Boosting Speculative Decoding via Adaptive Candidate Lengths. CoRR (2024)
Hengyu Fu, Zehao Dou, Jiawei Guo, Mengdi Wang, Minshuo Chen
Diffusion Transformer Captures Spatial-Temporal Dependencies: A Theory for Gaussian Process Data. CoRR (2024)
Efe Bozkir, Süleyman Özdel, Ka Hei Carrie Lau, Mengdi Wang, Hong Gao, Enkelejda Kasneci
Embedding Large Language Models into Extended Reality: Opportunities and Challenges for Inclusion, Engagement, and Privacy. CUI (2024)
Jiandong Mu, Mengdi Wang, Feiwen Zhu, Jun Yang, Wei Lin, Wei Zhang
Boosting the Convergence of Reinforcement Learning-Based Auto-Pruning Using Historical Data. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43 (2) (2024)
Jiahao Qiu, Hui Yuan, Jinghong Zhang, Wentao Chen, Huazheng Wang, Mengdi Wang
Tree Search-Based Evolutionary Bandits for Protein Sequence Optimization. AAAI (2024)
Yanyi Chu, Dan Yu, Yupeng Li, Kaixuan Huang, Yue Shen, Le Cong, Jason Zhang, Mengdi Wang
A 5′ UTR language model for decoding untranslated regions of mRNA and function predictions. Nat. Mac. Intell. 6 (4) (2024)
Jiahao Qiu, Hui Yuan, Jinghong Zhang, Wentao Chen, Huazheng Wang, Mengdi Wang
Tree Search-Based Evolutionary Bandits for Protein Sequence Optimization. CoRR (2024)
Souradip Chakraborty, Jiahao Qiu, Hui Yuan, Alec Koppel, Furong Huang, Dinesh Manocha, Amrit Singh Bedi, Mengdi Wang
MaxMin-RLHF: Towards Equitable Alignment of Large Language Models with Diverse Human Preferences. CoRR (2024)
Zehao Dou, Minshuo Chen, Mengdi Wang, Zhuoran Yang
Provable Statistical Rates for Consistency Diffusion Models. CoRR (2024)
Liang-Yong Xia, Yu Wu, Longfei Zhao, Leying Chen, Shiyi Zhang, Mengdi Wang, Jie Luo
Redefining the Game: MVAE-DFDPnet's Low-Dimensional Embeddings for Superior Drug-Protein Interaction Predictions. IEEE J. Biomed. Health Informatics 28 (7) (2024)
Jibang Wu, Siyu Chen, Mengdi Wang, Huazheng Wang, Haifeng Xu
Contractual Reinforcement Learning: Pulling Arms with Invisible Hands. CoRR (2024)
Fuping Li, Ying Wang, Yujie Wang, Mengdi Wang, Yinhe Han, Huawei Li, Xiaowei Li
Chipletizer: Repartitioning SoCs for Cost-Effective Chiplet Integration. ASPDAC (2024)
Mengdi Wang, Anna Bodonhelyi, Efe Bozkir, Enkelejda Kasneci
TurboSVM-FL: Boosting Federated Learning through SVM Aggregation for Lazy Clients. AAAI (2024)
Efe Bozkir, Süleyman Özdel, Ka Hei Carrie Lau, Mengdi Wang, Hong Gao, Enkelejda Kasneci
Embedding Large Language Models into Extended Reality: Opportunities and Challenges for Inclusion, Engagement, and Privacy. CoRR (2024)
Zihao Li, Boyi Liu, Zhuoran Yang, Zhaoran Wang, Mengdi Wang
Double Duality: Variational Primal-Dual Policy Optimization for Constrained Reinforcement Learning. CoRR (2024)
Joseph C. Kim, David Bloore, Karan Kapoor, Jun Feng, Ming-Hong Hao, Mengdi Wang
Scalable Normalizing Flows Enable Boltzmann Generators for Macromolecules. CoRR (2024)
Min Jiang, Mengdi Wang, Jun Kong
Prototype equilibrium network with group emotional contagion for few-shot emotion recognition in conversation. Int. J. Mach. Learn. Cybern. 15 (6) (2024)
Xiang Ji, Sanjeev Kulkarni, Mengdi Wang, Tengyang Xie
Self-Play with Adversarial Critic: Provable and Scalable Offline Alignment for Language Models. CoRR (2024)
Jiacheng Guo, Minshuo Chen, Huan Wang, Caiming Xiong, Mengdi Wang, Yu Bai
Sample-Efficient Learning of POMDPs with Multiple Observations In Hindsight. ICLR (2024)
Huicheng Hao, Mengdi Wang, Hongyu Wang
Optimization of Emergency Supply and Distribution of Fresh Agricultural Products Under Public Health Emergencies. IEEE Access 12 (2024)
Zihao Li, Hui Yuan, Kaixuan Huang, Chengzhuo Ni, Yinyu Ye, Minshuo Chen, Mengdi Wang
Diffusion Model for Data-Driven Black-Box Optimization. CoRR (2024)
Kaiyan Chang, Kun Wang, Nan Yang, Ying Wang, Dantong Jin, Wenlong Zhu, Zhirong Chen, Cangyuan Li, Hao Yan, Yunhao Zhou, Zhuoliang Zhao, Yuan Cheng, Yudong Pan, Yiqi Liu, Mengdi Wang, Shengwen Liang, Yinhe Han, Huawei Li, Xiaowei Li
Data is all you need: Finetuning LLMs for Chip Design via an Automated design-data augmentation framework. CoRR (2024)
Mengdi Wang, Anna Bodonhelyi, Efe Bozkir, Enkelejda Kasneci
TurboSVM-FL: Boosting Federated Learning through SVM Aggregation for Lazy Clients. CoRR (2024)
Mucong Ding, Souradip Chakraborty, Vibhu Agrawal, Zora Che, Alec Koppel, Mengdi Wang, Amrit S. Bedi, Furong Huang
SAIL: Self-Improving Efficient Online Alignment of Large Language Models. CoRR (2024)
Xiangyu Qi, Kaixuan Huang, Ashwinee Panda, Peter Henderson, Mengdi Wang, Prateek Mittal
Visual Adversarial Examples Jailbreak Aligned Large Language Models. AAAI (2024)
Zihao Li, Hui Lan, Vasilis Syrgkanis, Mengdi Wang, Masatoshi Uehara
Regularized DeepIV with Model Selection. CoRR (2024)
Minshuo Chen, Song Mei, Jianqing Fan, Mengdi Wang
An Overview of Diffusion Models: Applications, Guided Generation, Statistical Rates and Optimization. CoRR (2024)
Souradip Chakraborty, Amrit S. Bedi, Alec Koppel, Huazheng Wang, Dinesh Manocha, Mengdi Wang, Furong Huang
PARL: A Unified Framework for Policy Alignment in Reinforcement Learning from Human Feedback. ICLR (2024)
Shuhua Yang, Hui Yuan, Xiaoying Zhang, Mengdi Wang, Hong Zhang, Huazheng Wang
Conversational Dueling Bandits in Generalized Linear Models. KDD (2024)
Souradip Chakraborty, Soumya Suvra Ghosal, Ming Yin, Dinesh Manocha, Mengdi Wang, Amrit Singh Bedi, Furong Huang
Transfer Q Star: Principled Decoding for LLM Alignment. CoRR (2024)
Shuhua Yang, Hui Yuan, Xiaoying Zhang, Mengdi Wang, Hong Zhang, Huazheng Wang
Conversational Dueling Bandits in Generalized Linear Models. CoRR (2024)
Haque Ishfaq, Thanh Nguyen-Tang, Songtao Feng, Raman Arora, Mengdi Wang, Ming Yin, Doina Precup
Offline Multitask Representation Learning for Reinforcement Learning. CoRR (2024)
Boyi Wei, Kaixuan Huang, Yangsibo Huang, Tinghao Xie, Xiangyu Qi, Mengzhou Xia, Prateek Mittal, Mengdi Wang, Peter Henderson
Assessing the Brittleness of Safety Alignment via Pruning and Low-Rank Modifications. CoRR (2024)
Hengyu Fu, Zhuoran Yang, Mengdi Wang, Minshuo Chen
Unveil Conditional Diffusion Models with Classifier-free Guidance: A Sharp Statistical Theory. CoRR (2024)
Yingqing Guo, Hui Yuan, Yukang Yang, Minshuo Chen, Mengdi Wang
Gradient Guidance for Diffusion Models: An Optimization Perspective. CoRR (2024)
Minshuo Chen, Yu Bai, H. Vincent Poor, Mengdi Wang
Efficient RL with Impaired Observability: Learning to Act with Delayed and Missing State Observations. CoRR (2023)
Minshuo Chen, Kaixuan Huang, Tuo Zhao, Mengdi Wang
Score Approximation, Estimation and Distribution Recovery of Diffusion Models on Low-Dimensional Data. ICML (2023)
Ming Yin, Mengdi Wang, Yu-Xiang Wang
Offline Reinforcement Learning with Differentiable Function Approximation is Provably Efficient. ICLR (2023)
Shuoguang Yang, Xuezhou Zhang, Mengdi Wang
Federated Multi-Level Optimization over Decentralized Networks. CoRR (2023)
Mengdi Wang, You Wu, Tao Ding, Xingwei Zhao, Bo Tao
The Construction of Intelligent Grasping System Based on EEG. ICIRA (5) (2023)
Xiang Ji, Huazheng Wang, Minshuo Chen, Tuo Zhao, Mengdi Wang
Provable Benefits of Policy Learning from Human Preferences in Contextual Bandit Problems. CoRR (2023)
Zhenghao Xu, Xiang Ji, Minshuo Chen, Mengdi Wang, Tuo Zhao
Sample Complexity of Neural Policy Mirror Descent for Policy Optimization on Low-Dimensional Manifolds. CoRR (2023)
Mengdi Wang, Di Xiao, Jia Liang, Guiqiang Hu
Distributed privacy-preserving nested compressed sensing for multiclass data collection with identity authentication. Signal Process. 204 (2023)
Zihao Li, Zhuoran Yang, Mengdi Wang
Reinforcement Learning with Human Feedback: Learning Dynamic Choices via Pessimism. CoRR (2023)
Zixuan Zhang, Minshuo Chen, Mengdi Wang, Wenjing Liao, Tuo Zhao
Effective Minkowski Dimension of Deep Nonparametric Regression: Function Approximation and Statistical Theories. ICML (2023)
Huiqing Xu, Kuang Mao, Quihong Pan, Zhaorong Tang, Mengdi Wang, Ying Wang
Deep Learning Compiler Optimization on Multi-Chiplet Architecture. AICAS (2023)
Chengzhuo Ni, Yaqi Duan, Munther Dahleh, Mengdi Wang, Anru R. Zhang
Learning Good State and Action Representations for Markov Decision Process via Tensor Decomposition. J. Mach. Learn. Res. 24 (2023)
Junyu Zhang, Mengdi Wang, Mingyi Hong, Shuzhong Zhang
Primal-Dual First-Order Methods for Affinely Constrained Multi-block Saddle Point Problems. SIAM J. Optim. 33 (2) (2023)
Hui Yuan, Kaixuan Huang, Chengzhuo Ni, Minshuo Chen, Mengdi Wang
Reward-Directed Conditional Diffusion: Provable Distribution Estimation and Reward Improvement. NeurIPS (2023)
Chuanhao Li, Huazheng Wang, Mengdi Wang, Hongning Wang
Learning Kernelized Contextual Bandits in a Distributed and Asynchronous Environment. ICLR (2023)
Tianle Cai, Kaixuan Huang, Jason D. Lee, Mengdi Wang
Scaling In-Context Demonstrations with Structured Attention. CoRR (2023)
Kaiyan Chang, Ying Wang, Haimeng Ren, Mengdi Wang, Shengwen Liang, Yinhe Han, Huawei Li, Xiaowei Li
ChipGPT: How far are we from natural language hardware design. CoRR (2023)
Zixuan Zhang, Minshuo Chen, Mengdi Wang, Wenjing Liao, Tuo Zhao
Effective Minkowski Dimension of Deep Nonparametric Regression: Function Approximation and Statistical Theories. CoRR (2023)
Chengsi Gao, Ying Wang, Cheng Liu, Mengdi Wang, Weiwei Chen, Yinhe Han, Lei Zhang
Layer-Puzzle: Allocating and Scheduling Multi-task on Multi-core NPUs by Using Layer Heterogeneity. DATE (2023)
Zichen Wang, Rishab Balasubramanian, Hui Yuan, Chenyu Song, Mengdi Wang, Huazheng Wang
Adversarial Attacks on Online Learning to Rank with Stochastic Click Models. CoRR (2023)
Kaiqi Zhang, Zixuan Zhang, Minshuo Chen, Mengdi Wang, Tuo Zhao, Yu-Xiang Wang
Nonparametric Classification on Low Dimensional Manifolds using Overparameterized Convolutional Residual Networks. CoRR (2023)
Xiang Ji, Minshuo Chen, Mengdi Wang, Tuo Zhao
Sample Complexity of Nonparametric Off-Policy Evaluation on Low-Dimensional Manifolds using Deep Networks. ICLR (2023)
Yiding Chen, Xuezhou Zhang, Kaiqing Zhang, Mengdi Wang, Xiaojin Zhu
Byzantine-Robust Online and Offline Distributed Reinforcement Learning. AISTATS (2023)
Souradip Chakraborty, Amrit Singh Bedi, Alec Koppel, Dinesh Manocha, Huazheng Wang, Furong Huang, Mengdi Wang
Aligning Agent Policy with Externalities: Reward Design via Bilevel RL. CoRR (2023)
Zihao Li, Xiang Ji, Minshuo Chen, Mengdi Wang
Sample Complexity of Preference-Based Nonparametric Off-Policy Evaluation with Deep Networks. CoRR (2023)
Zeyu Zhang, Yi Su, Hui Yuan, Yiran Wu, Rishab Balasubramanian, Qingyun Wu, Huazheng Wang, Mengdi Wang
Unified Off-Policy Learning to Rank: a Reinforcement Learning Perspective. NeurIPS (2023)
Nikki Lijing Kuang, Ming Yin, Mengdi Wang, Yu-Xiang Wang, Yi-An Ma
Posterior Sampling with Delayed Feedback for Reinforcement Learning with Linear Function Approximation. CoRR (2023)
Souradip Chakraborty, Amrit Singh Bedi, Alec Koppel, Mengdi Wang, Furong Huang, Dinesh Manocha
STEERING: Stein Information Directed Exploration for Model-Based Reinforcement Learning. CoRR (2023)
Xiangyu Qi, Kaixuan Huang, Ashwinee Panda, Mengdi Wang, Prateek Mittal
Visual Adversarial Examples Jailbreak Large Language Models. CoRR (2023)
Zheng Yu, Yikuan Li, Joseph Kim, Kaixuan Huang, Yuan Luo, Mengdi Wang
Deep Reinforcement Learning for Cost-Effective Medical Diagnosis. ICLR (2023)
Jiacheng Guo, Minshuo Chen, Huan Wang, Caiming Xiong, Mengdi Wang, Yu Bai
Sample-Efficient Learning of POMDPs with Multiple Observations In Hindsight. CoRR (2023)
Siyu Chen, Mengdi Wang, Zhuoran Yang
Actions Speak What You Want: Provably Sample-Efficient Reinforcement Learning of the Quantal Stackelberg Equilibrium from Strategic Feedbacks. CoRR (2023)
Chengzhuo Ni, Yuda Song, Xuezhou Zhang, Zihan Ding, Chi Jin, Mengdi Wang
Representation Learning for Low-rank General-sum Markov Games. ICLR (2023)
Zheng Yu, Yikuan Li, Joseph Kim, Kaixuan Huang, Yuan Luo, Mengdi Wang
Deep Reinforcement Learning for Cost-Effective Medical Diagnosis. CoRR (2023)
Yikuan Li, Chengsheng Mao, Kaixuan Huang, Hanyin Wang, Zheng Yu, Mengdi Wang, Yuan Luo
Deep Reinforcement Learning for Efficient and Fair Allocation of Health Care Resources. CoRR (2023)
Hui Huang, Di Xiao, Mengdi Wang
Hierarchical Privacy-Preserving and Communication-Efficient Compression via Compressed Sensing. DCC (2023)
Mingbao Lin, Yuxin Zhang, Yuchao Li, Bohong Chen, Fei Chao, Mengdi Wang, Shen Li, Yonghong Tian, Rongrong Ji
1xN Pattern for Pruning Convolutional Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. 45 (4) (2023)
Minshuo Chen, Kaixuan Huang, Tuo Zhao, Mengdi Wang
Score Approximation, Estimation and Distribution Recovery of Diffusion Models on Low-Dimensional Data. CoRR (2023)
Hui Yuan, Kaixuan Huang, Chengzhuo Ni, Minshuo Chen, Mengdi Wang
Reward-Directed Conditional Diffusion: Provable Distribution Estimation and Reward Improvement. CoRR (2023)
Nikki Lijing Kuang, Ming Yin, Mengdi Wang, Yu-Xiang Wang, Yian Ma
Posterior Sampling with Delayed Feedback for Reinforcement Learning with Linear Function Approximation. NeurIPS (2023)
Jiacheng Guo, Zihao Li, Huazheng Wang, Mengdi Wang, Zhuoran Yang, Xuezhou Zhang
Provably Efficient Representation Learning with Tractable Planning in Low-Rank POMDP. ICML (2023)
Mengdi Wang, Hung Chau, Khushboo Thaker, Peter Brusilovsky, Daqing He
Knowledge Annotation for Intelligent Textbooks. Technol. Knowl. Learn. 28 (1) (2023)
Zeyu Zhang, Yi Su, Hui Yuan, Yiran Wu, Rishab Balasubramanian, Qingyun Wu, Huazheng Wang, Mengdi Wang
Unified Off-Policy Learning to Rank: a Reinforcement Learning Perspective. CoRR (2023)
Jiacheng Guo, Zihao Li, Huazheng Wang, Mengdi Wang, Zhuoran Yang, Xuezhou Zhang
Provably Efficient Representation Learning with Tractable Planning in Low-Rank POMDP. CoRR (2023)
Souradip Chakraborty, Amrit S. Bedi, Alec Koppel, Mengdi Wang, Furong Huang, Dinesh Manocha
STEERING : Stein Information Directed Exploration for Model-Based Reinforcement Learning. ICML (2023)
Minshuo Chen, Yu Bai, H. Vincent Poor, Mengdi Wang
Efficient RL with Impaired Observability: Learning to Act with Delayed and Missing State Observations. NeurIPS (2023)
Efe Bozkir, Süleyman Özdel, Mengdi Wang, Brendan David-John, Hong Gao, Kevin R. B. Butler, Eakta Jain, Enkelejda Kasneci
Eye-tracked Virtual Reality: A Comprehensive Survey on Methods and Privacy Challenges. CoRR (2023)
Alekh Agarwal, Yuda Song, Wen Sun, Kaiwen Wang, Mengdi Wang, Xuezhou Zhang
Provable Benefits of Representational Transfer in Reinforcement Learning. COLT (2023)
Lei Zhao, Mengdi Wang, Yu Bai
Is Inverse Reinforcement Learning Harder than Standard Reinforcement Learning? CoRR (2023)
Junyu Zhang, Amrit Singh Bedi, Mengdi Wang, Alec Koppel
Multi-Agent Reinforcement Learning with General Utilities via Decentralized Shadow Reward Actor-Critic. AAAI (2022)
Shiying Xiong, Zhecheng Wang, Mengdi Wang, Bo Zhu
A clebsch method for free-surface vortical flow simulation. ACM Trans. Graph. 41 (4) (2022)
Hui Yuan, Chengzhuo Ni, Huazheng Wang, Xuezhou Zhang, Le Cong, Csaba Szepesvári, Mengdi Wang
Bandit Theory and Thompson Sampling-Guided Directed Evolution for Sequence Optimization. CoRR (2022)
Chengzhuo Ni, Ruiqi Zhang, Xiang Ji, Xuezhou Zhang, Mengdi Wang
Optimal Estimation of Off-Policy Policy Gradient via Double Fitted Iteration. CoRR (2022)
Ming Yin, Yaqi Duan, Mengdi Wang, Yu-Xiang Wang
Near-optimal Offline Reinforcement Learning with Linear Representation: Leveraging Variance Information with Pessimism. ICLR (2022)
Jinyuan Liu, Mengdi Wang, Fan Feng, Annie Tang, Qiqin Le, Bo Zhu
Hydrophobic and Hydrophilic Solid-Fluid Interaction. ACM Trans. Graph. 41 (6) (2022)
Kaixuan Huang, Yu Wu, Xuezhou Zhang, Shenyinying Tu, Qingyun Wu, Mengdi Wang, Huazheng Wang
Provably Efficient Reinforcement Learning for Online Adaptive Influence Maximization. CoRR (2022)
Xifeng Xu, Yunni Xia, Feng Zeng, Fan Li, Hong Xie, Xiaodong Fu, Mengdi Wang
A novel vehicular task deployment method in hybrid MEC. J. Cloud Comput. 11 (2022)

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Publication Activity (10 Years)

Top Topics

Top Venues

Mengdi Wang