Lizhong Chen - RankMe

76 papers A* 15A 12B 1C 2Journal 39Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	FlashKAT: Understanding and Addressing Performance Bottlenecks in the Kolmogorov-Arnold Transformer. AAAI Matthew Raffel, Lizhong Chen
2026	J	`jnl`	LLM-RankFusion: Mitigating Intrinsic Inconsistency in LLM-based Ranking. Trans. Mach. Learn. Res. Yifan Zeng, Ojas Tendolkar, Raymond Baartmans, Qingyun Wu, Lizhong Chen, Huazheng Wang
2025	J	`jnl`	BeaverTalk: Oregon State University's IWSLT 2025 Simultaneous Speech Translation System. CoRR Matthew Raffel, Victor Agostinelli, Lizhong Chen
2025	J	`jnl`	FlashKAT: Understanding and Addressing Performance Bottlenecks in the Kolmogorov-Arnold Transformer. CoRR Matthew Raffel, Lizhong Chen
2025	J	`jnl`	Hessian-aware Training for Enhancing DNNs Resilience to Parameter Corruptions. CoRR Tahmid Hasan Prato, Seijoon Kim, Lizhong Chen, Sanghyun Hong
2025	J	`jnl`	ML For Hardware Design Interpretability: Challenges and Opportunities. CoRR Raymond Baartmans, Andrew Ensinger, Victor Agostinelli, Lizhong Chen
2025	J	`jnl`	MatrixKAN: Parallelized Kolmogorov-Arnold Network. CoRR Cale Coffman, Lizhong Chen
2025	J	`jnl`	MetaCluster: Enabling Deep Compression of Kolmogorov-Arnold Network. CoRR Matthew Raffel, Adwaith Renjith, Lizhong Chen
2025	J	`jnl`	QuantKAN: A Unified Quantization Framework for Kolmogorov Arnold Networks. CoRR Kazi Ahmed Asif Fuad, Lizhong Chen
2025	J	`jnl`	Towards Universal Semantics With Large Language Models. CoRR Raymond Baartmans, Matthew Raffel, Rahul Vikram, Aiden Deringer, Lizhong Chen
2024	J	`jnl`	FLAASH: Flexible Accelerator Architecture for Sparse High-Order Tensor Contraction. CoRR Gabriel Kulp, Andrew Ensinger, Lizhong Chen
2024	J	`jnl`	LLM-RankFusion: Mitigating Intrinsic Inconsistency in LLM-based Ranking. CoRR Yifan Zeng, Ojas Tendolkar, Raymond Baartmans, Qingyun Wu, Huazheng Wang, Lizhong Chen
2024	J	`jnl`	LLM-Ref: Enhancing Reference Handling in Technical Writing with Large Language Models. CoRR Kazi Ahmed Asif Fuad, Lizhong Chen
2024	A*	`conf`	LeaPformer: Enabling Linear Transformers for Autoregressive and Simultaneous Tasks via Learned Proportions. ICML Victor Agostinelli, Sanghyun Hong, Lizhong Chen
2024	J	`jnl`	LeaPformer: Enabling Linear Transformers for Autoregressive and Simultaneous Tasks via Learned Proportions. CoRR Victor Agostinelli, Sanghyun Hong, Lizhong Chen
2024	J	`jnl`	Monte Carlo / Dynamic Code (MC/DC): An accelerated Python package for fully transient neutron transport and rapid methods development. J. Open Source Softw. 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, Ryan G. McClarren, Todd S. Palmer, Lizhong Chen, Dmitriy Y. Anistratov, C. T. Kelley, Camille J. Palmer, Kyle E. Niemeyer
2024	J	`jnl`	Neurons for Neutrons: A Transformer Model for Computation Load Estimation on Domain-Decomposed Neutron Transport Problems. CoRR Alexander Mote, Todd S. Palmer, Lizhong Chen
2024	—	`conf`	Simul-LLM: A Framework for Exploring High-Quality Simultaneous Translation with Large Language Models. ACL (1) Victor Agostinelli, Max Wild, Matthew Raffel, Kazi Ahmed Asif Fuad, Lizhong Chen
2024	A*	`conf`	Simultaneous Masking, Not Prompting Optimization: A Paradigm Shift in Fine-tuning LLMs for Simultaneous Translation. EMNLP Matthew Raffel, Victor Agostinelli, Lizhong Chen
2024	J	`jnl`	Simultaneous Masking, Not Prompting Optimization: A Paradigm Shift in Fine-tuning LLMs for Simultaneous Translation. CoRR Matthew Raffel, Victor Agostinelli, Lizhong Chen
2024	J	`jnl`	Swift: High-Performance Sparse Tensor Contraction for Scientific Applications. CoRR Andrew Ensinger, Gabriel Kulp, Victor Agostinelli, Dennis Lyakhov, Lizhong Chen
2023	—	`conf`	Implicit Memory Transformer for Computationally Efficient Simultaneous Speech Translation. ACL (Findings) Matthew Raffel, Lizhong Chen
2023	J	`jnl`	Implicit Memory Transformer for Computationally Efficient Simultaneous Speech Translation. CoRR Matthew Raffel, Lizhong Chen
2023	—	`conf`	Improving Autoregressive NLP Tasks via Modular Linearized Attention. ECML/PKDD (4) Victor Agostinelli, Lizhong Chen
2023	J	`jnl`	Improving Autoregressive NLP Tasks via Modular Linearized Attention. CoRR Victor Agostinelli, Lizhong Chen
2023	J	`jnl`	PROMPT: Learning dynamic resource allocation policies for network applications. Future Gener. Comput. Syst. Drew Penney, Bin Li, Jaroslaw J. Sydir, Lizhong Chen, Charlie Tai, Stefan Lee, Eoin Walsh, Thomas Long
2023	J	`jnl`	Partitioning-Guided K-Means: Extreme Empty Cluster Resolution for Extreme Model Compression. CoRR Tianhong Huang, Victor Agostinelli, Lizhong Chen
2023	J	`jnl`	RAPID: Enabling Fast Online Policy Learning in Dynamic Public Cloud Environments. CoRR Drew Penney, Bin Li, Lizhong Chen, Jaroslaw J. Sydir, Anna Drewek-Ossowicka, Ramesh Illikkal, Charlie Tai, Ravi R. Iyer, Andrew Herdrich
2023	J	`jnl`	RAPID: Enabling fast online policy learning in dynamic public cloud environments. Neurocomputing Drew Penney, Bin Li, Lizhong Chen, Jaroslaw J. Sydir, Anna Drewek-Ossowicka, Ramesh Illikkal, Charlie Tai, Ravi R. Iyer, Andrew Herdrich
2023	A*	`conf`	Shiftable Context: Addressing Training-Inference Context Mismatch in Simultaneous Speech Translation. ICML Matthew Raffel, Drew Penney, Lizhong Chen
2023	J	`jnl`	Shiftable Context: Addressing Training-Inference Context Mismatch in Simultaneous Speech Translation. CoRR Matthew Raffel, Drew Penney, Lizhong Chen
2023	J	`jnl`	Simul-LLM: A Framework for Exploring High-Quality Simultaneous Translation with Large Language Models. CoRR Victor Agostinelli, Max Wild, Matthew Raffel, Kazi Ahmed Asif Fuad, Lizhong Chen
2022	J	`jnl`	Chapter Four - Routerless networks-on-chip. Adv. Comput. Fawaz Alazemi, Lizhong Chen, Bella Bose
2022	J	`jnl`	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. Remote. Sens. Guoqi Q. Qian, Lizhong Chen, Yuriy Kuleshov
2022	J	`jnl`	PROMPT: Learning Dynamic Resource Allocation Policies for Edge-Network Applications. CoRR Drew Penney, Bin Li, Jaroslaw Sydir, Charlie Tai, Eoin Walsh, Thomas Long, Stefan Lee, Lizhong Chen
2022	J	`jnl`	Polymorphic Accelerators for Deep Neural Networks. IEEE Trans. Computers Arash AziziMazreah, Lizhong Chen
2020	A*	`conf`	A Deep Reinforcement Learning Framework for Architectural Exploration: A Routerless NoC Case Study. HPCA Ting-Ru Lin, Drew Penney, Massoud Pedram, Lizhong Chen
2020	—	`book`	AI for Computer Architecture: Principles, Practice, and Prospects AI for Computer Architecture Lizhong Chen, Drew Penney, Daniel Jiménez
2020	A	`conf`	Accelerated Reply Injection for Removing NoC Bottleneck in GPGPUs. IPDPS Yunfan Li, Lizhong Chen
2020	A*	`conf`	EquiNox: Equivalent NoC Injection Routers for Silicon Interposer-Based Throughput Processors. HPCA Yunfan Li, Lizhong Chen
2020	J	`jnl`	The gem5 Simulator: Version 20.0+. CoRR 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, Daniel Rodrigues Carvalho, Jerónimo Castrillón, Lizhong Chen, Nicolas Derumigny, Stephan Diestelhorst, Wendy Elsasser, Marjan Fariborz, Amin Farmahini Farahani, Pouya Fotouhi, Ryan Gambord, Jayneel Gandhi, Dibakar Gope, Thomas Grass, Bagus Hanindhito, Andreas Hansson, Swapnil Haria, Austin Harris, Timothy Hayes, Adrian Herrera, Matthew Horsnell, Syed Ali Raza Jafri, Radhika Jagtap, Hanhwi Jang, Reiley Jeyapaul, Timothy M. Jones, Matthias Jung, Subash Kannoth, Hamidreza Khaleghzadeh, Yuetsu Kodama, Tushar Krishna, Tommaso Marinelli, Christian Menard, Andrea Mondelli, Tiago Mück, Omar Naji, Krishnendra Nathella, Hoa Nguyen, Nikos Nikoleris, Lena E. Olson, Marc S. Orr, Binh Pham, Pablo Prieto, Trivikram Reddy, Alec Roelke, Mahyar Samani, Andreas Sandberg, Javier Setoain, Boris Shingarov, Matthew D. Sinclair, Tuan Ta, Rahul Thakur, Giacomo Travaglini, Michael Upton, Nilay Vaish, Ilias Vougioukas, Zhengrong Wang, Norbert Wehn, Christian Weis, David A. Wood, Hongil Yoon, Éder F. Zulian
2020	J	`jnl`	UVMBench: A Comprehensive Benchmark Suite for Researching Unified Virtual Memory in GPUs. CoRR Yongbin Gu, Wenxuan Wu, Yunfan Li, Lizhong Chen
2019	J	`jnl`	A Survey of Machine Learning Applied to Computer Architecture Design. CoRR Drew D. Penney, Lizhong Chen
2019	C	`conf`	Characterizing On-Chip Traffic Patterns in General-Purpose GPUs: A Deep Learning Approach. ICCD Yunfan Li, Drew Penney, Abhishek Ramamurthy, Lizhong Chen
2019	J	`jnl`	Design Space Exploration of Memory Controller Placement in Throughput Processors with Deep Learning. IEEE Comput. Archit. Lett. Ting-Ru Lin, Yunfan Li, Massoud Pedram, Lizhong Chen
2019	A	`conf`	Dynamically linked MSHRs for adaptive miss handling in GPUs. ICS Yongbin Gu, Lizhong Chen
2019	B	`conf`	Express Link Placement for NoC-Based Many-Core Platforms. ICPP Yunfan Li, Di Zhu, Lizhong Chen
2019	A	`conf`	On Trade-off Between Static and Dynamic Power Consumption in NoC Power Gating. ISLPED Di Zhu, Yunfan Li, Lizhong Chen
2019	J	`jnl`	Optimizing Routerless Network-on-Chip Designs: An Innovative Learning-Based Framework. CoRR Ting-Ru Lin, Drew Penney, Massoud Pedram, Lizhong Chen
2019	A*	`conf`	Shortcut Mining: Exploiting Cross-Layer Shortcut Reuse in DCNN Accelerators. HPCA Arash AziziMazreah, Lizhong Chen
2018	C	`conf`	CART: Cache Access Reordering Tree for Efficient Cache and Memory Accesses in GPUs. ICCD Yongbin Gu, Lizhong Chen
2018	A*	`conf`	Routerless Network-on-Chip. HPCA Fawaz Alazemi, Arash AziziMazreah, Bella Bose, Lizhong Chen
2018	—	`conf`	Tolerating Soft Errors in Deep Learning Accelerators with Reliable On-Chip Memory Designs. NAS Arash AziziMazreah, Yongbin Gu, Xiang Gu, Lizhong Chen
2017	J	`jnl`	CALM: Contention-Aware Latency-Minimal Application Mapping for Flattened Butterfly On-Chip Networks. ACM Trans. Design Autom. Electr. Syst. Di Zhu, Siyu Yue, Massoud Pedram, Lizhong Chen
2017	A*	`conf`	XPro: A Cross-End Processing Architecture for Data Analytics in Wearables. ISCA Aosen Wang, Lizhong Chen, Wenyao Xu
2016	J	`jnl`	A Filtering Mechanism to Reduce Network Bandwidth Utilization of Transaction Execution. ACM Trans. Archit. Code Optim. Lihang Zhao, Lizhong Chen, Woojin Choi, Jeffrey T. Draper
2016	—	`conf`	Maximizing the performance of NoC-based MPSoCs under total power and power density constraints. ISQED Alireza Shafaei, Yanzhi Wang, Lizhong Chen, Shuang Chen, Massoud Pedram
2016	J	`jnl`	Providing Balanced Mapping for Multiple Applications in Many-Core Chip Multiprocessors. IEEE Trans. Computers Di Zhu, Lizhong Chen, Siyu Yue, Timothy Mark Pinkston, Massoud Pedram
2016	J	`jnl`	Simulation of NoC power-gating: Requirements, optimizations, and the Agate simulator. J. Parallel Distributed Comput. Lizhong Chen, Di Zhu, Massoud Pedram, Timothy Mark Pinkston
2015	A*	`conf`	Power punch: Towards non-blocking power-gating of NoC routers. HPCA Lizhong Chen, Di Zhu, Massoud Pedram, Timothy Mark Pinkston
2015	A	`conf`	TAPP: temperature-aware application mapping for NoC-based many-core processors. DATE Di Zhu, Lizhong Chen, Timothy Mark Pinkston, Massoud Pedram
2014	A	`conf`	Application mapping for express channel-based networks-on-chip. DATE Di Zhu, Lizhong Chen, Siyu Yue, Massoud Pedram
2014	A	`conf`	Balancing On-Chip Network Latency in Multi-application Mapping for Chip-Multiprocessors. IPDPS Di Zhu, Lizhong Chen, Siyu Yue, Timothy Mark Pinkston, Massoud Pedram
2014	A*	`conf`	Futility Scaling: High-Associativity Cache Partitioning. MICRO Ruisheng Wang, Lizhong Chen
2014	A*	`conf`	MP3: Minimizing performance penalty for power-gating of Clos network-on-chip. HPCA Lizhong Chen, Lihang Zhao, Ruisheng Wang, Timothy Mark Pinkston
2014	A	`conf`	Mitigating the Mismatch between the Coherence Protocol and Conflict Detection in Hardware Transactional Memory. IPDPS Lihang Zhao, Lizhong Chen, Jeffrey T. Draper
2014	A	`conf`	Smart butterfly: reducing static power dissipation of network-on-chip with core-state-awareness. ISLPED Siyu Yue, Lizhong Chen, Di Zhu, Timothy Mark Pinkston, Massoud Pedram
2013	A	`conf`	An Analytical Performance Model for Partitioning Off-Chip Memory Bandwidth. IPDPS Ruisheng Wang, Lizhong Chen, Timothy Mark Pinkston
2013	A	`conf`	Bubble coloring: avoiding routing- and protocol-induced deadlocks with minimal virtual channel requirement. ICS Ruisheng Wang, Lizhong Chen, Timothy Mark Pinkston
2013	A*	`conf`	In-network traffic regulation for Transactional Memory. HPCA Lihang Zhao, Woojin Choi, Lizhong Chen, Jeffrey T. Draper
2013	A	`conf`	RAIR: Interference Reduction in Regionalized Networks-on-Chip. IPDPS Lizhong Chen, Kai Hwang, Timothy Mark Pinkston
2013	A*	`conf`	Worm-Bubble Flow Control. HPCA Lizhong Chen, Timothy Mark Pinkston
2012	J	`jnl`	Efficient implementation of globally-aware network flow control. J. Parallel Distributed Comput. Lizhong Chen, Ruisheng Wang, Timothy Mark Pinkston
2012	A*	`conf`	NoRD: Node-Router Decoupling for Effective Power-gating of On-Chip Routers. MICRO Lizhong Chen, Timothy Mark Pinkston
2011	A	`conf`	Critical Bubble Scheme: An Efficient Implementation of Globally Aware Network Flow Control. IPDPS Lizhong Chen, Ruisheng Wang, Timothy Mark Pinkston
2004	—	`conf`	A comparative study for solution methods of a multicomponent distillation model. SMC (5) Lizhong Chen, Yongyou Hu, Hongye Su, Jian Chu