| 2026 | KSEM | EMS-GL: Adaptive Evict-then-Merge Strategy for KV Cache Compression Based on Global-Local Importance. | Yingxin Li, Ye Li, Yuan Meng, Xinzhu Ma, Zihan Geng, Shutao Xia, Zhi Wang |
| 2026 | WWW | Disentangled Graph LLM for Molecule Graph Editing under Distribution Shifts. | Yang Yao, Xin Wang, Yuan Meng, Zeyang Zhang, Hong Mei, Wenwu Zhu |
| 2025 | AAAI | JAQ: Joint Efficient Architecture Design and Low-Bit Quantization with Hardware-Software Co-Exploration. | Mingzi Wang, Yuan Meng, Chen Tang, Weixiang Zhang, Yijian Qin, Yang Yao, Yingxin Li, Tongtong Feng, Xin Wang, Xun Guan, Zhi Wang, Wenwu Zhu |
| 2025 | ACL | One QuantLLM for ALL: Fine-tuning Quantized LLMs Once for Efficient Deployments. | Ke Yi, Yuhui Xu, Heng Chang, Yuan Meng, Tong Zhang, Jia Li |
| 2025 | ACL | Parameter-Aware Contrastive Knowledge Editing: Tracing and Rectifying based on Critical Transmission Paths. | Songlin Zhai, Yuan Meng, Yuxin Zhang, Guilin Qi |
| 2025 | COLING | TEF: Causality-Aware Taxonomy Expansion via Front-Door Criterion. | Yuan Meng, Songlin Zhai, Yuxin Zhang, Zhongjian Hu, Guilin Qi |
| 2025 | CVPR | Q-DiT: Accurate Post-Training Quantization for Diffusion Transformers. | Lei Chen, Yuan Meng, Chen Tang, Xinzhu Ma, Jingyan Jiang, Xin Wang, Zhi Wang, Wenwu Zhu |
| 2025 | CVPR | ACL: Activating Capability of Linear Attention for Image Restoration. | Yubin Gu, Yuan Meng, Jiayi Ji, Xiaoshuai Sun |
| 2025 | DAC | MARIO: A Superadditive Multi-Algorithm Interworking Optimization Framework for Analog Circuit Sizing. | Wangzhen Li, Yuan Meng, Ruiyu Lyu, Changhao Yan, Keren Zhu, Zhaori Bi, Dian Zhou, Xuan Zeng |
| 2025 | DASFAA | BAG-RAG: Bidirectional Retrieval-Augmented Generation Based on Multi-Layer Semantic Graphs for Budget Auditing QA. | Gaofeng Xu, Runzhe Wang, Guilin Qi, Xiaolong Ye, Yongrui Chen, Yuxin Zhang, Xinbang Dai, Yuan Meng, Shenwen Zhong |
| 2025 | DATE | LT-OAQ: Learnable Threshold Based Outlier-Aware Quantization and its Energy-Efficient Accelerator for Low-Precision On-Chip Training. | Qinkai Xu, Yijin Liu, Yuan Meng, Yang Chen, Yunlong Mao, Li Li, Yuxiang Fu |
| 2025 | ECAI | Dynamic Model Fusion for Multi-Source Test-Time Adaptation. | Yuan Xue, Qinting Jiang, Yuan Meng, Xingxuan Zhang, Chen Tang, Jingyan Jiang, Zhi Wang |
| 2025 | ICCAD | LCTMwalk: GPU-Accelerated Transient Thermal Simulation for Liquid-Cooled 2.5D/3D ICs via Random Walks on Circuit Networks of Modified Compact Thermal Models. | Zhixuan Dong, Yonghan Luo, Yuan Meng, Changhao Yan, Zhaori Bi, Keren Zhu, Sheng-Guo Wang, Dian Zhou, Xuan Zeng |
| 2025 | ICCAD | NSTherm: An Error-Bounded Network-Stochastic Fusion Thermal Simulator for Geometry-Adaptable Chiplets via Diffeomorphic Mapping and Neural-Guided Variance Reduction. | Yuan Meng, Yuyan Wang, Zhixuan Dong, Yonghan Luo, Changhao Yan, Keren Zhu, Zhaori Bi, Sheng-Guo Wang, Dian Zhou, Xuan Zeng |
| 2025 | ICCV | CATP-LLM: Empowering Large Language Models for Cost-Aware Tool Planning. | Duo Wu, Jinghe Wang, Yuan Meng, Yanning Zhang, Le Sun, Zhi Wang |
| 2025 | ICML | Peripheral Memory for LLMs: Integration of Sequential Memory Banks with Adaptive Querying. | Songlin Zhai, Yuan Meng, Yongrui Chen, Yiwei Wang, Guilin Qi |
| 2025 | IROS | CIT: Context-Based Biased Batch-Sampling for Almost-Surely Asymptotically Optimal Motion Planning. | Liding Zhang, Yankun Wei, Kuanqi Cai, Zhenshan Bing, Yuan Meng, Fan Wu, Sami Haddadin, Alois Knoll |
| 2025 | VLDB | LLM-Hype: A Targeted Evaluation Framework for Hypernym-Hyponym Identification in Large Language Models. | Qiu Ji, Pengfei Zhu, Haolei Zhu, Yang Sheng, Guilin Qi, Lianlong Wu, Kang Xu, Yuan Meng |
| 2024 | ASPDAC | A Study on Exploring and Exploiting the High-dimensional Design Space for Analog Circuit Design Automation : (Invited Paper). | Ruiyu Lyu, Yuan Meng, Aidong Zhao, Zhaori Bi, Keren Zhu, Fan Yang, Changhao Yan, Dian Zhou, Xuan Zeng |
| 2024 | CIKM | RealTCD: Temporal Causal Discovery from Interventional Data with Large Language Model. | Peiwen Li, Xin Wang, Zeyang Zhang, Yuan Meng, Fang Shen, Yue Li, Jialong Wang, Yang Li, Wenwu Zhu |
| 2024 | CVPR | Retraining-free Model Quantization via One-Shot Weight-Coupling Learning. | Chen Tang, Yuan Meng, Jiacheng Jiang, Shuzhao Xie, Rongwei Lu, Xinzhu Ma, Zhi Wang, Wenwu Zhu |
| 2024 | DATE | Circuits Physics Constrained Predictor of Static IR Drop with Limited Data. | Yuan Meng, Ruiyu Lyu, Zhaori Bi, Changhao Yan, Fan Yang, Wenchuang Hu, Dian Zhou, Xuan Zeng |
| 2024 | FPL | A Heterogeneous Acceleration System for Attention-Based Multi-Agent Reinforcement Learning. | Samuel Wiggins, Yuan Meng, Mahesh A. Iyer, Viktor K. Prasanna |
| 2024 | ICANN | Identifying the Trends of Technological Convergence Between Domains Using a Heterogeneous Graph Perspective: A Case Study of the Graphene Industry. | Shan Jiang, Yuan Meng, Danni Zhou |
| 2024 | ICCAD | Revisiting sensitivity-based analog sizing with derivative-aware Bayesian optimization and error-suppressed adjoint analysis. | Ruiyu Lyu, Aidong Zhao, Yuan Meng, Keren Zhu, Zhaori Bi, Changhao Yan, Fan Yang, Dian Zhou, Xuan Zeng |
| 2024 | IJCNN | MediSight FusionNet: A General Medical Deep Learning Model for Myopic Maculopathy Classification. | Xuhao Pan, Yuan Meng, Keying Ding |
| 2024 | KDD | Towards Lightweight Graph Neural Network Search with Curriculum Graph Sparsification. | Beini Xie, Heng Chang, Ziwei Zhang, Zeyang Zhang, Simin Wu, Xin Wang, Yuan Meng, Wenwu Zhu |
| 2023 | AAAI | DNG: Taxonomy Expansion by Exploring the Intrinsic Directed Structure on Non-gaussian Space. | Songlin Zhai, Weiqing Wang, Yuan-Fang Li, Yuan Meng |
| 2023 | CIKM | Causal Discovery in Temporal Domain from Interventional Data. | Peiwen Li, Yuan Meng, Xin Wang, Fang Shen, Yue Li, Jialong Wang, Wenwu Zhu |
| 2023 | DATA | Characterizing Speed Performance of Multi-Agent Reinforcement Learning. | Samuel Wiggins, Yuan Meng, Rajgopal Kannan, Viktor K. Prasanna |
| 2023 | FPGA | A Framework for Monte-Carlo Tree Search on CPU-FPGA Heterogeneous Platform via on-chip Dynamic Tree Management. | Yuan Meng, Rajgopal Kannan, Viktor K. Prasanna |
| 2023 | ICANN | Multi-relation Representation Learning Based Deep Network for Patent Classification. | Yuan Meng, Xuhao Pan, Yue Wang |
| 2023 | ICCS | ATS: A Fully Automatic Troubleshooting System with Efficient Anomaly Detection and Localization. | Lu Yuan, Yuan Meng, Jiyan Sun, Shangyuan Zhuang, Yinlong Liu, Liru Geng, Weiqing Huang |
| 2023 | ICCV | Towards Fair and Comprehensive Comparisons for Image-Based 3D Object Detection. | Xinzhu Ma, Yongtao Wang, Yinmin Zhang, Zhiyi Xia, Yuan Meng, Zhihui Wang, Haojie Li, Wanli Ouyang |
| 2023 | IJCNN | RGAT: A Deeper Look into Syntactic Dependency Information for Coreference Resolution. | Yuan Meng, Xuhao Pan, Jun Chang, Yue Wang |
| 2023 | IROS | Contact-Aware Shaping and Maintenance of Deformable Linear Objects With Fixtures. | Kejia Chen, Zhenshan Bing, Fan Wu, Yuan Meng, Andr Kraft, Sami Haddadin, Alois Knoll |
| 2023 | ICTAI | A Numeral and Affective Knowledge Enhanced Network for Aspect-based Financial Sentiment Analysis. | Chuan Qin, Changrui Yu, Yuan Meng, Jun Chang |
| 2023 | SC | Accelerating Deep Neural Network guided MCTS using Adaptive Parallelism. | Yuan Meng, Qian Wang, Tianxin Zu, Viktor K. Prasanna |
| 2022 | FCCM | Accelerating Deformable Convolution Networks. | Yuan Meng, Hongjiang Men, Viktor K. Prasanna |
| 2022 | FPL | Accelerating Monte-Carlo Tree Search on CPU-FPGA Heterogeneous Platform. | Yuan Meng, Rajgopal Kannan, Viktor K. Prasanna |
| 2021 | CogSci | Naive Utility Calculus underlies the reproduction of disparities in social groups. | Yuan Meng, Fei Xu |
| 2021 | FPGA | DYNAMAP: Dynamic Algorithm Mapping Framework for Low Latency CNN Inference. | Yuan Meng, Sanmukh R. Kuppannagari, Rajgopal Kannan, Viktor K. Prasanna |
| 2021 | FPL | FGYM: Toolkit for Benchmarking FPGA based Reinforcement Learning Algorithms. | Nathaniel Peura, Yuan Meng, Sanmukh R. Kuppannagari, Viktor K. Prasanna |
| 2021 | HiPC | How to Avoid Zero-Spacing in Fractionally-Strided Convolution? A Hardware-Algorithm Co-Design Methodology. | Yuan Meng, Sanmukh R. Kuppannagari, Rajgopal Kannan, Viktor K. Prasanna |
| 2020 | CogSci | How do disparities reproduce themselves? "Ground truth" inference from utility-maximizing agent's sampling behavior. | Yuan Meng, Fei Xu |
| 2020 | FCCM | Accelerating Proximal Policy Optimization on CPU-FPGA Heterogeneous Platforms. | Yuan Meng, Sanmukh R. Kuppannagari, Viktor K. Prasanna |
| 2020 | FPGA | QTAccel: A Generic FPGA based Design for Q-Table based Reinforcement Learning Accelerators. | Rachit Rajat, Yuan Meng, Sanmukh R. Kuppannagari, Ajitesh Srivastava, Viktor K. Prasanna, Rajgopal Kannan |
| 2020 | IPCCC | FluxInfer: Automatic Diagnosis of Performance Anomaly for Online Database System. | Ping Liu, Shenglin Zhang, Yongqian Sun, Yuan Meng, Jiahai Yang, Dan Pei |
| 2020 | IWQoS | Localizing Failure Root Causes in a Microservice through Causality Inference. | Yuan Meng, Shenglin Zhang, Yongqian Sun, Ruru Zhang, Zhilong Hu, Yiyin Zhang, Chenyang Jia, Zhaogang Wang, Dan Pei |
| 2019 | CogSci | Leveraging Thinking to Facilitate Causal Learning from Intervention. | Yuan Meng, Fei Xu |
| 2018 | CogSci | Children's Causal Interventions Combine Discrimination and Confirmation. | Yuan Meng, Neil Bramley, Fei Xu |
| 2017 | CogSci | Inferring Intentional Agents From Violation of Randomness. | Yuan Meng, Tom Griffiths, Fei Xu |
| 2017 | ICCCN | How Much Are Your Neighbors Interfering with Your WiFi Delay? | Changhua Pei, Youjian Zhao, Guo Chen, Yuan Meng, Yang Liu, Ya Su, Yaodong Zhang, Ruming Tang, Dan Pei |
| 2017 | INFOCOM | Why it takes so long to connect to a WiFi access point. | Changhua Pei, Zhi Wang, Youjian Zhao, Zihan Wang, Yuan Meng, Dan Pei, Yuanquan Peng, Wenliang Tang, Xiaodong Qu |
| 2017 | IWQoS | Latency-based WiFi congestion control in the air for dense WiFi networks. | Changhua Pei, Youjian Zhao, Yunxin Liu, Kun Tan, Jiansong Zhang, Yuan Meng, Dan Pei |
| 2016 | INFOCOM | WiFi can be the weakest link of round trip network latency in the wild. | Changhua Pei, Youjian Zhao, Guo Chen, Ruming Tang, Yuan Meng, Minghua Ma, Ken Ling, Dan Pei |
| 2016 | USENIX | Fast and Cautious: Leveraging Multi-path Diversity for Transport Loss Recovery in Data Centers. | Guo Chen, Yuanwei Lu, Yuan Meng, Bojie Li, Kun Tan, Dan Pei, Peng Cheng, Layong Luo, Yongqiang Xiong, Xiaoliang Wang, Youjian Zhao |