Pingzhi Li

40 papers A* 6A 1Journal 26Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
CHIMERA: Compact Synthetic Data for Generalizable LLM Reasoning.
CoRR
Xinyu Zhu, Yihao Feng, Yanchao Sun, Xianzhi Du, Pingzhi Li, Olli Saarikivi, Yun Zhu, Yu Meng
2026 J jnl
FlashSchNet: Fast and Accurate Coarse-Grained Neural Network Molecular Dynamics.
CoRR
Pingzhi Li, Hongxuan Li, Zirui Liu, Xingcheng Lin, Tianlong Chen
2026 J jnl
Mozart: Modularized and Efficient MoE Training on 3.5D Wafer-Scale Chiplet Architectures.
CoRR
Shuqing Luo, Ye Han, Pingzhi Li, Jiayin Qin, Jie Peng, Yang Zhao, Yu Cao, Tianlong Chen
2026 J jnl
Towards Building Non-Fine-Tunable Foundation Models.
CoRR
Ziyao Wang, Nizhang Li, Pingzhi Li, Guoheng Sun, Tianlong Chen, Ang Li
2025 — conf
A Decentralized Framework for Auditing Large Language Model Reasoning.
TPS-ISA
Morris Yu-Chao Huang, Zhen Tan, Mohan Zhang, Pingzhi Li, Zezhen Ding, Zhuo Zhang, Tianlong Chen
2025 — conf
Advancing MoE Efficiency: A Collaboration-Constrained Routing (C2R) Strategy for Better Expert Parallelism Design.
NAACL (Long Papers)
Mohan Zhang, Pingzhi Li, Jie Peng, Mufan Qiu, Tianlong Chen
2025 J jnl
Advancing MoE Efficiency: A Collaboration-Constrained Routing (C2R) Strategy for Better Expert Parallelism Design.
CoRR
Mohan Zhang, Pingzhi Li, Jie Peng, Mufan Qiu, Tianlong Chen
2025 J jnl
AsyncSpade: Efficient Test-Time Scaling with Asynchronous Sparse Decoding.
CoRR
Shuqing Luo, Yilin Guan, Pingzhi Li, Hanrui Wang, Tianlong Chen
2025 — conf
Bag of Tricks for Sparse Mixture-of-Experts: A Benchmark Across Reasoning, Efficiency, and Safety.
EMNLP (Findings)
Mufan Qiu, Zheyu Shen, Pingzhi Li, Ang Li, Tianlong Chen
2025 J jnl
Can GRPO Help LLMs Transcend Their Pretraining Origin?
CoRR
Kangqi Ni, Zhen Tan, Zijie Liu, Pingzhi Li, Tianlong Chen
2025 J jnl
DOGe: Defensive Output Generation for LLM Protection Against Knowledge Distillation.
CoRR
Pingzhi Li, Zhen Tan, Huaizhi Qu, Huan Liu, Tianlong Chen
2025 J jnl
Finding Fantastic Experts in MoEs: A Unified Study for Expert Dropping Strategies and Observations.
CoRR
Ajay Jaiswal, Jianyu Wang, Yixiao Li, Pingzhi Li, Tianlong Chen, Zhangyang Wang, Chong Wang, Ruoming Pang, Xianzhi Du
2025 A* conf
Glider: Global and Local Instruction-Driven Expert Router.
EMNLP
Pingzhi Li, Prateek Yadav, Jaehong Yoon, Jie Peng, Yi-Lin Sung, Mohit Bansal, Tianlong Chen
2025 J jnl
GroverGPT-2: Simulating Grover's Algorithm via Chain-of-Thought Reasoning and Quantum-Native Tokenization.
CoRR
Min Chen, Jinglei Cheng, Pingzhi Li, Haoran Wang, Tianlong Chen, Junyu Liu
2025 J jnl
GroverGPT: A Large Language Model with 8 Billion Parameters for Quantum Searching.
CoRR
Haoran Wang, Pingzhi Li, Min Chen, Jinglei Cheng, Junyu Liu, Tianlong Chen
2025 J jnl
Leave It to the Experts: Detecting Knowledge Distillation via MoE Expert Signatures.
CoRR
Pingzhi Li, Morris Yu-Chao Huang, Zhen Tan, Qingquan Song, Jie Peng, Kai Zou, Yu Cheng, Kaidi Xu, Tianlong Chen
2025 J jnl
Make Optimization Once and for All with Fine-grained Guidance.
CoRR
Mingjia Shi, Ruihan Lin, Xuxi Chen, Yuhao Zhou, Zezhen Ding, Pingzhi Li, Tong Wang, Kai Wang, Zhangyang Wang, Jiheng Zhang, Tianlong Chen
2025 — conf
ORAL: Prompting Your Large-Scale LoRAs via Conditional Recurrent Diffusion.
EMNLP (Findings)
Rana Muhammad Shahroz, Dongwen Tang, Pingzhi Li, Kai Wang, Tianlong Chen
2025 J jnl
ORAL: Prompting Your Large-Scale LoRAs via Conditional Recurrent Diffusion.
CoRR
Rana Muhammad Shahroz Khan, Dongwen Tang, Pingzhi Li, Kai Wang, Tianlong Chen
2025 J jnl
Occult: Optimizing Collaborative Communication across Experts for Accelerated Parallel MoE Training and Inference.
CoRR
Shuqing Luo, Pingzhi Li, Jie Peng, Hanrui Wang, Yang Zhao, Yu Cao, Yu Cheng, Tianlong Chen
2025 A* conf
Occult: Optimizing Collaborative Communications across Experts for Accelerated Parallel MoE Training and Inference.
ICML
Shuqing Luo, Pingzhi Li, Jie Peng, Yang Zhao, Yu Cao, Yu Cheng, Tianlong Chen
2025 A* conf
PortLLM: Personalizing Evolving Large Language Models with Training-Free and Portable Model Patches.
ICLR
Rana Muhammad Shahroz, Pingzhi Li, Sukwon Yun, Zhenyu Wang, Shahriar Nirjon, Chau-Wai Wong, Tianlong Chen
2025 A conf
Protecting Privacy against Membership Inference Attack with LLM Fine-tuning through Flatness.
SDM
Tiejin Chen, Longchao Da, Huixue Zhou, Pingzhi Li, Kaixiong Zhou, Tianlong Chen, Hua Wei
2025 J jnl
TRUST: A Decentralized Framework for Auditing Large Language Model Reasoning.
CoRR
Morris Yu-Chao Huang, Zhen Tan, Mohan Zhang, Pingzhi Li, Zhuo Zhang, Tianlong Chen
2025 — conf
Unveiling Privacy Risks in Multi-modal Large Language Models: Task-specific Vulnerabilities and Mitigation Challenges.
ACL (Findings)
Tiejin Chen, Pingzhi Li, Kaixiong Zhou, Tianlong Chen, Hua Wei
2025 — conf
Vision Language Model Helps Private Information De-Identification in Vision Data.
ACL (Findings)
Tiejin Chen, Pingzhi Li, Kaixiong Zhou, Tianlong Chen, Hua Wei
2024 — conf
Enhancing Quantum Security over Federated Learning via Post-Quantum Cryptography.
TPS-ISA
Pingzhi Li, Tianlong Chen, Junyu Liu
2024 J jnl
Enhancing Quantum Security over Federated Learning via Post-Quantum Cryptography.
CoRR
Pingzhi Li, Tianlong Chen, Junyu Liu
2024 J jnl
Examining Post-Training Quantization for Mixture-of-Experts: A Benchmark.
CoRR
Pingzhi Li, Xiaolong Jin, Yu Cheng, Tianlong Chen
2024 J jnl
Glider: Global and Local Instruction-Driven Expert Router.
CoRR
Pingzhi Li, Prateek Yadav, Jaehong Yoon, Jie Peng, Yi-Lin Sung, Mohit Bansal, Tianlong Chen
2024 J jnl
HEXA-MoE: Efficient and Heterogeneous-aware MoE Acceleration with ZERO Computation Redundancy.
CoRR
Shuqing Luo, Jie Peng, Pingzhi Li, Tianlong Chen
2024 J jnl
Hybrid Quantum-Classical Scheduling for Accelerating Neural Network Training with Newton's Gradient Descent.
CoRR
Pingzhi Li, Junyu Liu, Hanrui Wang, Tianlong Chen
2024 A* conf
Merge, Then Compress: Demystify Efficient SMoE with Hints from Its Routing Policy.
ICLR
Pingzhi Li, Zhenyu Zhang, Prateek Yadav, Yi-Lin Sung, Yu Cheng, Mohit Bansal, Tianlong Chen
2024 A* conf
Model-GLUE: Democratized LLM Scaling for A Large Model Zoo in the Wild.
NeurIPS
Xinyu Zhao, Guoheng Sun, Ruisi Cai, Yukun Zhou, Pingzhi Li, Peihao Wang, Bowen Tan, Yexiao He, Li Chen, Yi Liang, Beidi Chen, Binhang Yuan, Hongyi Wang, Ang Li, Zhangyang Wang, Tianlong Chen
2024 J jnl
Model-GLUE: Democratized LLM Scaling for A Large Model Zoo in the Wild.
CoRR
Xinyu Zhao, Guoheng Sun, Ruisi Cai, Yukun Zhou, Pingzhi Li, Peihao Wang, Bowen Tan, Yexiao He, Li Chen, Yi Liang, Beidi Chen, Binhang Yuan, Hongyi Wang, Ang Li, Zhangyang Wang, Tianlong Chen
2024 J jnl
PortLLM: Personalizing Evolving Large Language Models with Training-Free and Portable Model Patches.
CoRR
Rana Muhammad Shahroz Khan, Pingzhi Li, Sukwon Yun, Zhenyu Wang, Shahriar Nirjon, Chau-Wai Wong, Tianlong Chen
2024 J jnl
Privacy-preserving Fine-tuning of Large Language Models through Flatness.
CoRR
Tiejin Chen, Longchao Da, Huixue Zhou, Pingzhi Li, Kaixiong Zhou, Tianlong Chen, Hua Wei
2024 A* conf
Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark.
ICML
Yihua Zhang, Pingzhi Li, Junyuan Hong, Jiaxiang Li, Yimeng Zhang, Wenqing Zheng, Pin-Yu Chen, Jason D. Lee, Wotao Yin, Mingyi Hong, Zhangyang Wang, Sijia Liu, Tianlong Chen
2024 J jnl
Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark.
CoRR
Yihua Zhang, Pingzhi Li, Junyuan Hong, Jiaxiang Li, Yimeng Zhang, Wenqing Zheng, Pin-Yu Chen, Jason D. Lee, Wotao Yin, Mingyi Hong, Zhangyang Wang, Sijia Liu, Tianlong Chen
2023 J jnl
Merge, Then Compress: Demystify Efficient SMoE with Hints from Its Routing Policy.
CoRR
Pingzhi Li, Zhenyu Zhang, Prateek Yadav, Yi-Lin Sung, Yu Cheng, Mohit Bansal, Tianlong Chen