A comparative study for solution methods of a multicomponent distillation model. - Lizhong Chen; Yongyou Hu; Hongye Su; Jian Chu (SMC (5), 2004)

Critical Bubble Scheme: An Efficient Implementation of Globally Aware Network Flow Control. - Lizhong Chen; Ruisheng Wang; Timothy Mark Pinkston (IPDPS, 2011)

NoRD: Node-Router Decoupling for Effective Power-gating of On-Chip Routers. - Lizhong Chen; Timothy Mark Pinkston (MICRO, 2012)

Efficient implementation of globally-aware network flow control. - Lizhong Chen; Ruisheng Wang; Timothy Mark Pinkston (J. Parallel Distributed Comput., 2012)

Worm-Bubble Flow Control. - Lizhong Chen; Timothy Mark Pinkston (HPCA, 2013)

In-network traffic regulation for Transactional Memory. - Lihang Zhao; Woojin Choi; Lizhong Chen; Jeffrey T. Draper (HPCA, 2013)

Bubble coloring: avoiding routing- and protocol-induced deadlocks with minimal virtual channel requirement. - Ruisheng Wang; Lizhong Chen; Timothy Mark Pinkston (ICS, 2013)

RAIR: Interference Reduction in Regionalized Networks-on-Chip. - Lizhong Chen; Kai Hwang 001; Timothy Mark Pinkston (IPDPS, 2013)

An Analytical Performance Model for Partitioning Off-Chip Memory Bandwidth. - Ruisheng Wang; Lizhong Chen; Timothy Mark Pinkston (IPDPS, 2013)

Application mapping for express channel-based networks-on-chip. - Di Zhu 002; Lizhong Chen; Siyu Yue; Massoud Pedram (DATE, 2014)

MP3: Minimizing performance penalty for power-gating of Clos network-on-chip. - Lizhong Chen; Lihang Zhao; Ruisheng Wang; Timothy Mark Pinkston (HPCA, 2014)

Mitigating the Mismatch between the Coherence Protocol and Conflict Detection in Hardware Transactional Memory. - Lihang Zhao; Lizhong Chen; Jeffrey T. Draper (IPDPS, 2014)

Balancing On-Chip Network Latency in Multi-application Mapping for Chip-Multiprocessors. - Di Zhu 002; Lizhong Chen; Siyu Yue; Timothy Mark Pinkston; Massoud Pedram (IPDPS, 2014)

Smart butterfly: reducing static power dissipation of network-on-chip with core-state-awareness. - Siyu Yue; Lizhong Chen; Di Zhu 002; Timothy Mark Pinkston; Massoud Pedram (ISLPED, 2014)

Futility Scaling: High-Associativity Cache Partitioning. - Ruisheng Wang; Lizhong Chen (MICRO, 2014)

TAPP: temperature-aware application mapping for NoC-based many-core processors. - Di Zhu 002; Lizhong Chen; Timothy Mark Pinkston; Massoud Pedram (DATE, 2015)

Power punch: Towards non-blocking power-gating of NoC routers. - Lizhong Chen; Di Zhu 002; Massoud Pedram; Timothy Mark Pinkston (HPCA, 2015)

Maximizing the performance of NoC-based MPSoCs under total power and power density constraints. - Alireza Shafaei; Yanzhi Wang; Lizhong Chen; Shuang Chen 001; Massoud Pedram (ISQED, 2016)

Simulation of NoC power-gating: Requirements, optimizations, and the Agate simulator. - Lizhong Chen; Di Zhu 002; Massoud Pedram; Timothy Mark Pinkston (J. Parallel Distributed Comput., 2016)

A Filtering Mechanism to Reduce Network Bandwidth Utilization of Transaction Execution. - Lihang Zhao; Lizhong Chen; Woojin Choi; Jeffrey T. Draper (ACM Trans. Archit. Code Optim., 2016)

Providing Balanced Mapping for Multiple Applications in Many-Core Chip Multiprocessors. - Di Zhu 002; Lizhong Chen; Siyu Yue; Timothy Mark Pinkston; Massoud Pedram (IEEE Trans. Computers, 2016)

XPro: A Cross-End Processing Architecture for Data Analytics in Wearables. - Aosen Wang; Lizhong Chen; Wenyao Xu (ISCA, 2017)

CALM: Contention-Aware Latency-Minimal Application Mapping for Flattened Butterfly On-Chip Networks. - Di Zhu 002; Siyu Yue; Massoud Pedram; Lizhong Chen (ACM Trans. Design Autom. Electr. Syst., 2017)

Routerless Network-on-Chip. - Fawaz Alazemi; Arash AziziMazreah; Bella Bose; Lizhong Chen (HPCA, 2018)

CART: Cache Access Reordering Tree for Efficient Cache and Memory Accesses in GPUs. - Yongbin Gu; Lizhong Chen (ICCD, 2018)

Tolerating Soft Errors in Deep Learning Accelerators with Reliable On-Chip Memory Designs. - Arash AziziMazreah; Yongbin Gu; Xiang Gu; Lizhong Chen (NAS, 2018)

Shortcut Mining: Exploiting Cross-Layer Shortcut Reuse in DCNN Accelerators. - Arash AziziMazreah; Lizhong Chen (HPCA, 2019)

Characterizing On-Chip Traffic Patterns in General-Purpose GPUs: A Deep Learning Approach. - Yunfan Li 002; Drew Penney; Abhishek Ramamurthy; Lizhong Chen (ICCD, 2019)

Express Link Placement for NoC-Based Many-Core Platforms. - Yunfan Li 002; Di Zhu 002; Lizhong Chen (ICPP, 2019)

Dynamically linked MSHRs for adaptive miss handling in GPUs. - Yongbin Gu; Lizhong Chen (ICS, 2019)

On Trade-off Between Static and Dynamic Power Consumption in NoC Power Gating. - Di Zhu 002; Yunfan Li 002; Lizhong Chen (ISLPED, 2019)

Design Space Exploration of Memory Controller Placement in Throughput Processors with Deep Learning. - Ting-Ru Lin; Yunfan Li 002; Massoud Pedram; Lizhong Chen (IEEE Comput. Archit. Lett., 2019)

Optimizing Routerless Network-on-Chip Designs: An Innovative Learning-Based Framework. - Ting-Ru Lin; Drew Penney; Massoud Pedram; Lizhong Chen (CoRR, 2019)

A Survey of Machine Learning Applied to Computer Architecture Design. - Drew D. Penney; Lizhong Chen (CoRR, 2019)

EquiNox: Equivalent NoC Injection Routers for Silicon Interposer-Based Throughput Processors. - Yunfan Li 002; Lizhong Chen (HPCA, 2020)

A Deep Reinforcement Learning Framework for Architectural Exploration: A Routerless NoC Case Study. - Ting-Ru Lin; Drew Penney; Massoud Pedram; Lizhong Chen (HPCA, 2020)

Accelerated Reply Injection for Removing NoC Bottleneck in GPGPUs. - Yunfan Li 002; Lizhong Chen (IPDPS, 2020)

The gem5 Simulator: Version 20.0+. - Jason Lowe-Power; Abdul Mutaal Ahmad; Ayaz Akram; Mohammad Alian; Rico Amslinger; Matteo Andreozzi; Adrià Armejach; Nils Asmussen; Srikant Bharadwaj; Gabe Black; Gedare Bloom; Bobby R. Bruce; et al. (CoRR, 2020)

UVMBench: A Comprehensive Benchmark Suite for Researching Unified Virtual Memory in GPUs. - Yongbin Gu; Wenxuan Wu; Yunfan Li 002; Lizhong Chen (CoRR, 2020)

AI for Computer Architecture: Principles, Practice, and Prospects - Lizhong Chen; Drew Penney; Daniel Jiménez (AI for Computer Architecture, 2020)

Chapter Four - Routerless networks-on-chip. - Fawaz Alazemi; Lizhong Chen; Bella Bose (Adv. Comput., 2022)

PROMPT: Learning Dynamic Resource Allocation Policies for Edge-Network Applications. - Drew Penney; Bin Li 018; Jaroslaw Sydir; Charlie Tai; Eoin Walsh; Thomas Long; Stefan Lee; Lizhong Chen (CoRR, 2022)

Improving Methodology for Tropical Cyclone Seasonal Forecasting in the Australian and the South Pacific Ocean Regions by Selecting and Averaging Models via Metropolis-Gibbs Sampling. - Guoqi Q. Qian; Lizhong Chen; Yuriy Kuleshov (Remote. Sens., 2022)

Polymorphic Accelerators for Deep Neural Networks. - Arash AziziMazreah; Lizhong Chen (IEEE Trans. Computers, 2022)

Implicit Memory Transformer for Computationally Efficient Simultaneous Speech Translation. - Matthew Raffel; Lizhong Chen (ACL (Findings), 2023)

Shiftable Context: Addressing Training-Inference Context Mismatch in Simultaneous Speech Translation. - Matthew Raffel; Drew Penney; Lizhong Chen (ICML, 2023)

Improving Autoregressive NLP Tasks via Modular Linearized Attention. - Victor Agostinelli; Lizhong Chen (ECML/PKDD (4), 2023)

Partitioning-Guided K-Means: Extreme Empty Cluster Resolution for Extreme Model Compression. - Tianhong Huang; Victor Agostinelli; Lizhong Chen (CoRR, 2023)

PROMPT: Learning dynamic resource allocation policies for network applications. - Drew Penney; Bin Li 018; Jaroslaw J. Sydir; Lizhong Chen; Charlie Tai; Stefan Lee; Eoin Walsh; Thomas Long (Future Gener. Comput. Syst., 2023)

RAPID: Enabling fast online policy learning in dynamic public cloud environments. - Drew Penney; Bin Li 018; Lizhong Chen; Jaroslaw J. Sydir; Anna Drewek-Ossowicka; Ramesh Illikkal; Charlie Tai; Ravi R. Iyer 001; Andrew Herdrich (Neurocomputing, 2023)

Simul-LLM: A Framework for Exploring High-Quality Simultaneous Translation with Large Language Models. - Victor Agostinelli; Max Wild; Matthew Raffel; Kazi Ahmed Asif Fuad; Lizhong Chen (ACL (1), 2024)

Simultaneous Masking, Not Prompting Optimization: A Paradigm Shift in Fine-tuning LLMs for Simultaneous Translation. - Matthew Raffel; Victor Agostinelli; Lizhong Chen (EMNLP, 2024)

LeaPformer: Enabling Linear Transformers for Autoregressive and Simultaneous Tasks via Learned Proportions. - Victor Agostinelli; Sanghyun Hong 001; Lizhong Chen (ICML, 2024)

FLAASH: Flexible Accelerator Architecture for Sparse High-Order Tensor Contraction. - Gabriel Kulp; Andrew Ensinger; Lizhong Chen (CoRR, 2024)

LLM-RankFusion: Mitigating Intrinsic Inconsistency in LLM-based Ranking. - Yifan Zeng; Ojas Tendolkar; Raymond Baartmans; Qingyun Wu; Huazheng Wang; Lizhong Chen (CoRR, 2024)

Swift: High-Performance Sparse Tensor Contraction for Scientific Applications. - Andrew Ensinger; Gabriel Kulp; Victor Agostinelli; Dennis Lyakhov; Lizhong Chen (CoRR, 2024)

LLM-Ref: Enhancing Reference Handling in Technical Writing with Large Language Models. - Kazi Ahmed Asif Fuad; Lizhong Chen (CoRR, 2024)

Neurons for Neutrons: A Transformer Model for Computation Load Estimation on Domain-Decomposed Neutron Transport Problems. - Alexander Mote; Todd S. Palmer; Lizhong Chen (CoRR, 2024)

Monte Carlo / Dynamic Code (MC/DC): An accelerated Python package for fully transient neutron transport and rapid methods development. - Joanna Piper Morgan; Ilham Variansyah; Samuel L. Pasmann; Kayla B. Clements; Braxton Cuneo; Alexander Mote; Charles Goodman; Caleb Shaw; Jordan Northrop; Rohan Pankaj; Ethan Lame; Benjamin Whewell; et al. (J. Open Source Softw., 2024)

MatrixKAN: Parallelized Kolmogorov-Arnold Network. - Cale Coffman; Lizhong Chen (CoRR, 2025)

Hessian-aware Training for Enhancing DNNs Resilience to Parameter Corruptions. - Tahmid Hasan Prato; Seijoon Kim; Lizhong Chen; Sanghyun Hong 001 (CoRR, 2025)

ML For Hardware Design Interpretability: Challenges and Opportunities. - Raymond Baartmans; Andrew Ensinger; Victor Agostinelli; Lizhong Chen (CoRR, 2025)

Towards Universal Semantics With Large Language Models. - Raymond Baartmans; Matthew Raffel; Rahul Vikram; Aiden Deringer; Lizhong Chen (CoRR, 2025)

FlashKAT: Understanding and Addressing Performance Bottlenecks in the Kolmogorov-Arnold Transformer. - Matthew Raffel; Lizhong Chen (CoRR, 2025)

BeaverTalk: Oregon State University's IWSLT 2025 Simultaneous Speech Translation System. - Matthew Raffel; Victor Agostinelli; Lizhong Chen (CoRR, 2025)