| 2026 | ACL | ChipSeek: Optimizing Verilog Generation via EDA-Integrated Reinforcement Learning. | Zhirong Chen, Kaiyan Chang, Zhuolin Li, Cangyuan Li, Xinyang He, Chujie Chen, Mengdi Wang, Haobo Xu, Yinhe Han, Huawei Li, Ying Wang |
| 2026 | ASPLOS | Ouroboros: Wafer-Scale SRAM CIM with Token-Grained Pipelining for Large Language Model Inference. | Yiqi Liu, Yudong Pan, Mengdi Wang, Shixin Zhao, Haonan Zhu, Yinhe Han, Lei Zhang, Ying Wang |
| 2026 | DATE | FHEx: Transforming Generic Compute Chips into Secure FHE Engines via a Hardware-software Co-designed Framework. | Yibo Du, Ying Wang, Mengdi Wang, Cangyuan Li, Lian Liu, Hui Li, Kai Zhang, Yinhe Han |
| 2026 | DATE | From Buffers to Registers: Unlocking Fine-Grained FlashAttention with Hybrid-Bonded 3D NPU Co-Design. | Jinxin Yu, Yudong Pan, Mengdi Wang, Huawei Li, Yinhe Han, Xiaowei Li, Ying Wang |
| 2026 | EACL | Jailbreaks as Inference-Time Alignment: A Framework for Understanding Safety Failures in LLMs. | James Beetham, Souradip Chakraborty, Mengdi Wang, Furong Huang, Amrit Singh Bedi, Mubarak Shah |
| 2026 | ISCA | AutoFHE: An Automatic Hardware Generation Framework for Domain-Specific FHE Accelerators. | Yibo Du, Cangyuan Li, Bing Li, Mengdi Wang, Lian Liu, Shixin Zhao, Yinhe Han, Ying Wang |
| 2026 | ISCA | Unlocking Pipeline Parallelism for Bootstrapping: A Pipelined Multi-Chiplet TFHE Accelerator. | Yibo Du, Mengdi Wang, Cangyuan Li, Yinhe Han, Ying Wang |
| 2026 | ISCA | ConBin: a Performance-Convergence Framework for Wafer-Scale Chip Binning. | Huiqing Xu, Mengdi Wang, Yinhe Han, Ying Wang |
| 2026 | WACV | CycleSL: Server-Client Cyclical Update Driven Scalable Split Learning. | Mengdi Wang, Efe Bozkir, Enkelejda Kasneci |
| 2025 | ASPDAC | RTLMarker: Protecting LLM-Generated RTL Copyright via a Hardware Watermarking Framework. | Kun Wang, Kaiyan Chang, Mengdi Wang, Xingqi Zou, Haobo Xu, Yinhe Han, Ying Wang |
| 2025 | ASPLOS | COMET: Towards Practical W4A4KV4 LLMs Serving. | Lian Liu, Long Cheng, Haimeng Ren, Zhaohui Xu, Yudong Pan, Mengdi Wang, Xiaowei Li, Yinhe Han, Ying Wang |
| 2025 | ASPLOS | Be CIM or Be Memory: A Dual-mode-aware DNN Compiler for CIM Accelerators. | Shixin Zhao, Yuming Li, Bing Li, Yintao He, Mengdi Wang, Yinhe Han, Ying Wang |
| 2025 | CVPR | Immune: Improving Safety Against Jailbreaks in Multi-modal LLMs via Inference-Time Alignment. | Soumya Suvra Ghosal, Souradip Chakraborty, Vaibhav Singh, Tianrui Guan, Mengdi Wang, Ahmad Beirami, Furong Huang, Alvaro Velasquez, Dinesh Manocha, Amrit Singh Bedi |
| 2025 | EMNLP | Temporal Consistency for LLM Reasoning Process Error Identification. | Jiacheng Guo, Yue Wu, Jiahao Qiu, Kaixuan Huang, Xinzhe Juan, Ling Yang, Mengdi Wang |
| 2025 | EMNLP | EmoAgent: Assessing and Safeguarding Human-AI Interaction for Mental Health Safety. | Jiahao Qiu, Yinghui He, Xinzhe Juan, Yimin Wang, Yuhan Liu, Zixin Yao, Yue Wu, Xun Jiang, Ling Yang, Mengdi Wang |
| 2025 | EMNLP | TreeBoN: Enhancing Inference-Time Alignment with Speculative Tree-Search and Best-of-N Sampling. | Jiahao Qiu, Yifu Lu, Yifan Zeng, Jiacheng Guo, Jiayi Geng, Chenhao Zhu, Xinzhe Juan, Ling Yang, Huazheng Wang, Kaixuan Huang, Yue Wu, Mengdi Wang |
| 2025 | HPCA | Make LLM Inference Affordable to Everyone: Augmenting GPU Memory with NDP-DIMM. | Lian Liu, Shixin Zhao, Bing Li, Haimeng Ren, Zhaohui Xu, Mengdi Wang, Xiaowei Li, Yinhe Han, Ying Wang |
| 2025 | ICCAD | CLASS: A Controller-Centric Layout Synthesizer for Dynamic Quantum Circuits. | Yu Chen, Yilun Zhao, Bing Li, He Li, Mengdi Wang, Yinhe Han, Ying Wang |
| 2025 | ICCV | Preacher: Paper-to-Video Agentic System. | Jingwei Liu, Ling Yang, Hao Luo, Fan Wang, Hongyan Li, Mengdi Wang |
| 2025 | ICLR | A Common Pitfall of Margin-based Language Model Alignment: Gradient Entanglement. | Hui Yuan, Yifan Zeng, Yue Wu, Huazheng Wang, Mengdi Wang, Liu Leqi |
| 2025 | ICLR | Collab: Controlled Decoding using Mixture of Agents for LLM Alignment. | Souradip Chakraborty, Sujay Bhatt, Udari Madhushani Sehwag, Soumya Suvra Ghosal, Jiahao Qiu, Mengdi Wang, Dinesh Manocha, Furong Huang, Alec Koppel, Sumitra Ganesh |
| 2025 | ICLR | Diffusion Transformer Captures Spatial-Temporal Dependencies: A Theory for Gaussian Process Data. | Hengyu Fu, Zehao Dou, Jiawei Guo, Mengdi Wang, Minshuo Chen |
| 2025 | ICLR | Towards Understanding Text Hallucination of Diffusion Models via Local Generation Bias. | Rui Lu, Runzhe Wang, Kaifeng Lyu, Xitai Jiang, Gao Huang, Mengdi Wang |
| 2025 | ICLR | Rectified Diffusion: Straightness Is Not Your Need in Rectified Flow. | Fu-Yun Wang, Ling Yang, Zhaoyang Huang, Mengdi Wang, Hongsheng Li |
| 2025 | ICLR | IterComp: Iterative Composition-Aware Feedback Learning from Model Gallery for Text-to-Image Generation. | Xinchen Zhang, Ling Yang, Guohao Li, Yaqi Cai, Jiake Xie, Yong Tang, Yujiu Yang, Mengdi Wang, Bin Cui |
| 2025 | ICML | MATH-Perturb: Benchmarking LLMs' Math Reasoning Abilities against Hard Perturbations. | Kaixuan Huang, Jiacheng Guo, Zihao Li, Xiang Ji, Jiawei Ge, Wenzhe Li, Yingqing Guo, Tianle Cai, Hui Yuan, Runzhe Wang, Yue Wu, Ming Yin, Shange Tang, Yangsibo Huang, Chi Jin, Xinyun Chen, Chiyuan Zhang, Mengdi Wang |
| 2025 | ICML | BaWA: Automatic Optimizing Pruning Metric for Large Language Models with Balanced Weight and Activation. | Lian Liu, Xiandong Zhao, Guanchen Li, Dong Li, Mengdi Wang, Yinhe Han, Xiaowei Li, Ying Wang |
| 2025 | ICML | A First-order Generative Bilevel Optimization Framework for Diffusion Models. | Quan Xiao, Hui Yuan, A F M Saif, Gaowen Liu, Ramana Rao Kompella, Mengdi Wang, Tianyi Chen |
| 2025 | ICML | Emergent Symbolic Mechanisms Support Abstract Reasoning in Large Language Models. | Yukang Yang, Declan Campbell, Kaixuan Huang, Mengdi Wang, Jonathan D. Cohen, Taylor Whittington Webb |
| 2025 | IJCAI | Deep Reinforcement Learning for Efficient and Fair Allocation of Healthcare Resources. | Yikuan Li, Chengsheng Mao, Kaixuan Huang, Hanyin Wang, Zheng Yu, Mengdi Wang, Yuan Luo |
| 2025 | IJCAI | WenyanGPT: A Large Language Model for Classical Chinese Tasks. | Xinyu Yao, Mengdi Wang, Bo Chen, Xiaobing Zhao |
| 2025 | ICWS | A Novel Self-Attention-Enhanced Multi-Neighborhood PPO Scheduling Approach for Satellite Edge Computing. | Xifeng Xu, Yunni Xia, Qinglan Peng, Xingli Zhong, Song Zhou, Kai Peng, Mengdi Wang, Jiale Zhao |
| 2024 | AAAI | Visual Adversarial Examples Jailbreak Aligned Large Language Models. | Xiangyu Qi, Kaixuan Huang, Ashwinee Panda, Peter Henderson, Mengdi Wang, Prateek Mittal |
| 2024 | AAAI | Tree Search-Based Evolutionary Bandits for Protein Sequence Optimization. | Jiahao Qiu, Hui Yuan, Jinghong Zhang, Wentao Chen, Huazheng Wang, Mengdi Wang |
| 2024 | AAAI | TurboSVM-FL: Boosting Federated Learning through SVM Aggregation for Lazy Clients. | Mengdi Wang, Anna Bodonhelyi, Efe Bozkir, Enkelejda Kasneci |
| 2024 | AISTATS | Policy Evaluation for Reinforcement Learning from Human Feedback: A Sample Complexity Analysis. | Zihao Li, Xiang Ji, Minshuo Chen, Mengdi Wang |
| 2024 | ASPDAC | Chipletizer: Repartitioning SoCs for Cost-Effective Chiplet Integration. | Fuping Li, Ying Wang, Yujie Wang, Mengdi Wang, Yinhe Han, Huawei Li, Xiaowei Li |
| 2024 | DAC | Data is all you need: Finetuning LLMs for Chip Design via an Automated design-data augmentation framework. | 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 |
| 2024 | ICCAD | Natural language is not enough: Benchmarking multi-modal generative AI for Verilog generation. | Kaiyan Chang, Zhirong Chen, Yunhao Zhou, Wenlong Zhu, Kun Wang, Haobo Xu, Cangyuan Li, Mengdi Wang, Shengwen Liang, Huawei Li, Yinhe Han, Ying Wang |
| 2024 | ICLR | PARL: A Unified Framework for Policy Alignment in Reinforcement Learning from Human Feedback. | Souradip Chakraborty, Amrit Singh Bedi, Alec Koppel, Huazheng Wang, Dinesh Manocha, Mengdi Wang, Furong Huang |
| 2024 | ICLR | Sample-Efficient Learning of POMDPs with Multiple Observations In Hindsight. | Jiacheng Guo, Minshuo Chen, Huan Wang, Caiming Xiong, Mengdi Wang, Yu Bai |
| 2024 | ICML | MaxMin-RLHF: Alignment with Diverse Human Preferences. | Souradip Chakraborty, Jiahao Qiu, Hui Yuan, Alec Koppel, Dinesh Manocha, Furong Huang, Amrit S. Bedi, Mengdi Wang |
| 2024 | ICML | Theory of Consistency Diffusion Models: Distribution Estimation Meets Fast Sampling. | Zehao Dou, Minshuo Chen, Mengdi Wang, Zhuoran Yang |
| 2024 | ICML | Information-Directed Pessimism for Offline Reinforcement Learning. | Alec Koppel, Sujay Bhatt, Jiacheng Guo, Joe Eappen, Mengdi Wang, Sumitra Ganesh |
| 2024 | ICML | Assessing the Brittleness of Safety Alignment via Pruning and Low-Rank Modifications. | Boyi Wei, Kaixuan Huang, Yangsibo Huang, Tinghao Xie, Xiangyu Qi, Mengzhou Xia, Prateek Mittal, Mengdi Wang, Peter Henderson |
| 2024 | ICML | Theoretical insights for diffusion guidance: A case study for Gaussian mixture models. | Yuchen Wu, Minshuo Chen, Zihao Li, Mengdi Wang, Yuting Wei |
| 2024 | ICML | Is Inverse Reinforcement Learning Harder than Standard Reinforcement Learning? A Theoretical Perspective. | Lei Zhao, Mengdi Wang, Yu Bai |
| 2024 | ICWS | A Novel Structured Task Scheduling Approach in Satellite Edge Computing Environments. | Xifeng Xu, Yunni Xia, Qinglan Peng, Xingli Zhong, Song Zhou, Kai Peng, Mengdi Wang |
| 2024 | KDD | Conversational Dueling Bandits in Generalized Linear Models. | Shuhua Yang, Hui Yuan, Xiaoying Zhang, Mengdi Wang, Hong Zhang, Huazheng Wang |
| 2023 | AISTATS | Byzantine-Robust Online and Offline Distributed Reinforcement Learning. | Yiding Chen, Xuezhou Zhang, Kaiqing Zhang, Mengdi Wang, Xiaojin Zhu |
| 2023 | COLT | Provable Benefits of Representational Transfer in Reinforcement Learning. | Alekh Agarwal, Yuda Song, Wen Sun, Kaiwen Wang, Mengdi Wang, Xuezhou Zhang |
| 2023 | DATE | Layer-Puzzle: Allocating and Scheduling Multi-task on Multi-core NPUs by Using Layer Heterogeneity. | Chengsi Gao, Ying Wang, Cheng Liu, Mengdi Wang, Weiwei Chen, Yinhe Han, Lei Zhang |
| 2023 | DCC | Hierarchical Privacy-Preserving and Communication-Efficient Compression via Compressed Sensing. | Hui Huang, Di Xiao, Mengdi Wang |
| 2023 | ICLR | Sample Complexity of Nonparametric Off-Policy Evaluation on Low-Dimensional Manifolds using Deep Networks. | Xiang Ji, Minshuo Chen, Mengdi Wang, Tuo Zhao |
| 2023 | ICLR | Learning Kernelized Contextual Bandits in a Distributed and Asynchronous Environment. | Chuanhao Li, Huazheng Wang, Mengdi Wang, Hongning Wang |
| 2023 | ICLR | Representation Learning for Low-rank General-sum Markov Games. | Chengzhuo Ni, Yuda Song, Xuezhou Zhang, Zihan Ding, Chi Jin, Mengdi Wang |
| 2023 | ICLR | Offline Reinforcement Learning with Differentiable Function Approximation is Provably Efficient. | Ming Yin, Mengdi Wang, Yu-Xiang Wang |
| 2023 | ICLR | Deep Reinforcement Learning for Cost-Effective Medical Diagnosis. | Zheng Yu, Yikuan Li, Joseph C. Kim, Kaixuan Huang, Yuan Luo, Mengdi Wang |
| 2023 | ICML | STEERING : Stein Information Directed Exploration for Model-Based Reinforcement Learning. | Souradip Chakraborty, Amrit S. Bedi, Alec Koppel, Mengdi Wang, Furong Huang, Dinesh Manocha |
| 2023 | ICML | Score Approximation, Estimation and Distribution Recovery of Diffusion Models on Low-Dimensional Data. | Minshuo Chen, Kaixuan Huang, Tuo Zhao, Mengdi Wang |
| 2023 | ICML | Provably Efficient Representation Learning with Tractable Planning in Low-Rank POMDP. | Jiacheng Guo, Zihao Li, Huazheng Wang, Mengdi Wang, Zhuoran Yang, Xuezhou Zhang |
| 2023 | ICML | Effective Minkowski Dimension of Deep Nonparametric Regression: Function Approximation and Statistical Theories. | Zixuan Zhang, Minshuo Chen, Mengdi Wang, Wenjing Liao, Tuo Zhao |
| 2022 | AAAI | Multi-Agent Reinforcement Learning with General Utilities via Decentralized Shadow Reward Actor-Critic. | Junyu Zhang, Amrit Singh Bedi, Mengdi Wang, Alec Koppel |
| 2022 | CISS | Neural Bandits for Protein Sequence Optimization. | Chenyu Wang, Joseph C. Kim, Le Cong, Mengdi Wang |
| 2022 | ICLR | Near-optimal Offline Reinforcement Learning with Linear Representation: Leveraging Variance Information with Pessimism. | Ming Yin, Yaqi Duan, Mengdi Wang, Yu-Xiang Wang |
| 2022 | ICML | Optimal Estimation of Policy Gradient via Double Fitted Iteration. | Chengzhuo Ni, Ruiqi Zhang, Xiang Ji, Xuezhou Zhang, Mengdi Wang |
| 2022 | ICML | Efficient Reinforcement Learning in Block MDPs: A Model-free Representation Learning approach. | Xuezhou Zhang, Yuda Song, Masatoshi Uehara, Mengdi Wang, Alekh Agarwal, Wen Sun |
| 2022 | ICML | Off-Policy Fitted Q-Evaluation with Differentiable Function Approximators: Z-Estimation and Inference Theory. | Ruiqi Zhang, Xuezhou Zhang, Chengzhuo Ni, Mengdi Wang |
| 2022 | IJCAI | Parameter-Efficient Sparsity for Large Language Models Fine-Tuning. | Yuchao Li, Fuli Luo, Chuanqi Tan, Mengdi Wang, Songfang Huang, Shen Li, Junjie Bai |
| 2022 | UAI | Offline stochastic shortest path: Learning, evaluation and towards optimality. | Ming Yin, Wenjing Chen, Mengdi Wang, Yu-Xiang Wang |
| 2021 | AISTATS | Online Sparse Reinforcement Learning. | Botao Hao, Tor Lattimore, Csaba Szepesvri, Mengdi Wang |
| 2021 | AISTATS | Generalization Bounds for Stochastic Saddle Point Problems. | Junyu Zhang, Mingyi Hong, Mengdi Wang, Shuzhong Zhang |
| 2021 | CVPR | Towards Compact CNNs via Collaborative Compression. | Yuchao Li, Shaohui Lin, Jianzhuang Liu, Qixiang Ye, Mengdi Wang, Fei Chao, Fan Yang, Jincheng Ma, Qi Tian, Rongrong Ji |
| 2021 | DAC | Network-on-Interposer Design for Agile Neural-Network Processor Chip Customization. | Mengdi Wang, Ying Wang, Cheng Liu, Lei Zhang |
| 2021 | DCC | Privacy-Preserving Compressed Sensing for Image Simultaneous Compression-Encryption Applications. | Bo Zhang, Di Xiao, Mengdi Wang, Jia Liang |
| 2021 | EACL | Contrastive Multi-document Question Generation. | Woon Sang Cho, Yizhe Zhang, Sudha Rao, Asli Celikyilmaz, Chenyan Xiong, Jianfeng Gao, Mengdi Wang, Bill Dolan |
| 2021 | ICASSP | Low Complexity Secure P-Tensor Product Compressed Sensing Reconstruction Outsourcing and Identity Authentication in Cloud. | Mengdi Wang, Di Xiao, Jia Liang |
| 2021 | ICML | Sparse Feature Selection Makes Batch Reinforcement Learning More Sample Efficient. | Botao Hao, Yaqi Duan, Tor Lattimore, Csaba Szepesvri, Mengdi Wang |
| 2021 | ICML | Bootstrapping Fitted Q-Evaluation for Off-Policy Inference. | Botao Hao, Xiang Ji, Yaqi Duan, Hao Lu, Csaba Szepesvri, Mengdi Wang |
| 2021 | ISIT | Learning Good State and Action Representations via Tensor Decomposition. | Chengzhuo Ni, Anru R. Zhang, Yaqi Duan, Mengdi Wang |
| 2020 | AISTATS | Sketching Transformed Matrices with Applications to Natural Language Processing. | Yingyu Liang, Zhao Song, Mengdi Wang, Lin Yang, Xin Yang |
| 2020 | AISTATS | Solving Discounted Stochastic Two-Player Games with Near-Optimal Time and Sample Complexity. | Aaron Sidford, Mengdi Wang, Lin Yang, Yinyu Ye |
| 2020 | DAC | A History-Based Auto-Tuning Framework for Fast and High-Performance DNN Design on GPU. | Jiandong Mu, Mengdi Wang, Lanbo Li, Jun Yang, Wei Lin, Wei Zhang |
| 2020 | ICCAD | A Many-Core Accelerator Design for On-Chip Deep Reinforcement Learning. | Ying Wang, Mengdi Wang, Bing Li, Huawei Li, Xiaowei Li |
| 2020 | ICML | Model-Based Reinforcement Learning with Value-Targeted Regression. | Alex Ayoub, Zeyu Jia, Csaba Szepesvri, Mengdi Wang, Lin Yang |
| 2020 | ICML | Minimax-Optimal Off-Policy Evaluation with Linear Function Approximation. | Yaqi Duan, Zeyu Jia, Mengdi Wang |
| 2020 | ICML | Reinforcement Learning in Feature Space: Matrix Bandit, Kernels, and Regret Bound. | Lin Yang, Mengdi Wang |
| 2020 | Middleware | Fast Training of Deep Learning Models over Multiple GPUs. | Xiaodong Yi, Ziyue Luo, Chen Meng, Mengdi Wang, Guoping Long, Chuan Wu, Jun Yang, Wei Lin |
| 2019 | ICML | Sample-Optimal Parametric Q-Learning Using Linearly Additive Features. | Lin Yang, Mengdi Wang |
| 2019 | ISIT | Maximum Likelihood Tensor Decomposition of Markov Decision Process. | Chengzhuo Ni, Mengdi Wang |
| 2019 | KDD | Smart Roles: Inferring Professional Roles in Email Networks. | Di Jin, Mark Heimann, Tara Safavi, Mengdi Wang, Wei Lee, Lindsay Snider, Danai Koutra |
| 2019 | UAI | Online Factorization and Partition of Complex Networks by Random Walk. | Lin F. Yang, Zheng Yu, Vladimir Braverman, Tuo Zhao, Mengdi Wang |
| 2018 | AISTATS | Minimax-Optimal Privacy-Preserving Sparse PCA in Distributed Systems. | Jason Ge, Zhaoran Wang, Mengdi Wang, Han Liu |
| 2018 | CVPR | Efficient Deep Learning Inference Based on Model Compression. | Qing Zhang, Mengru Zhang, Mengdi Wang, Wanchen Sui, Chen Meng, Jun Yang, Weidan Kong, Xiaoyuan Cui, Wei Lin |
| 2018 | ICML | Scalable Bilinear Learning Using State and Action Features. | Yichen Chen, Lihong Li, Mengdi Wang |
| 2018 | ICML | Estimation of Markov Chain via Rank-constrained Likelihood. | Xudong Li, Mengdi Wang, Anru Zhang |
| 2018 | SODA | Variance Reduced Value Iteration and Faster Algorithms for Solving Markov Decision Processes. | Aaron Sidford, Mengdi Wang, Xian Wu, Yinyu Ye |
| 2017 | AISTATS | Finite-sum Composition Optimization via Variance Reduced Gradient Descent. | Xiangru Lian, Mengdi Wang, Ji Liu |
| 2017 | ICASSP | Unsupervised feature extraction for hyperspectral images using combined low rank representation and locally linear embedding. | Mengdi Wang, Jing Yu, Lijuan Niu, Weidong Sun |
| 2017 | ICIP | LRR-based hyperspectral image restoration by exploiting the union structure of spectral space and with robust dictionary estimation. | Mengdi Wang, Jing Yu, Weidong Sun |
| 2017 | ICML | Strong NP-Hardness for Sparse Optimization with Concave Penalty Functions. | Yichen Chen, Dongdong Ge, Mengdi Wang, Zizhuo Wang, Yinyu Ye, Hao Yin |
| 2016 | WSC | A stochastic compositional gradient method using Markov samples. | Mengdi Wang, Ji Liu |
| 2015 | CW | Writing Chinese Calligraphy on Arbitrary Surfaces. | Qian Fu, Zhongke Wu, Xiang Ying, Mengdi Wang, Xia Zheng, Mingquan Zhou |
| 2015 | ICASSP | Averaging random projection: A fast online solution for large-scale constrained stochastic optimization. | Jialin Liu, Yuantao Gu, Mengdi Wang |
| 2015 | ICIP | Group-based hyperspectral image denoising using low rank representation. | Mengdi Wang, Jing Yu, Weidong Sun |
| 2014 | ICASSP | Learning distributed jointly sparse systems by collaborative LMS. | Yuantao Gu, Mengdi Wang |
| 2014 | PRDC | Formalizing Google File System. | Mengdi Wang, Bo Li, Yongxin Zhao, Geguang Pu |
| 2012 | ICMLC | Short-term wind speed forecasting combined time series method and arch model. | Mengdi Wang, Qi-Rong Qiu, Bing-Wei Cui |