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Zhenheng Tang

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

25

Venues

14

Active years

2019–2026

Best venue rank

A*

Where they publish

Papers

25 indexed papers, newest first.

YearVenueTitleAuthors
2026AAAIGitTaskBench: A Benchmark for Code Agents Solving Real-World Tasks Through Code Repository Leveraging.Ziyi Ni, Huacan Wang, Shuo Zhang, Shuo Lu, Ziyang He, Wang You, Zhenheng Tang, Sen Hu, Bo Li, Chen Hu, Binxing Jiao, Daxin Jiang, Yuntao Du, Pin Lyu
2026ACLCloneMem: Benchmarking Long-Term Memory for AI Clones.Sen Hu, Zhiyu Zhang, Yuxiang Wei, Xueran Han, Zhenheng Tang, Ronghao Chen, Huacan Wang
2026ACLProbing the Plasticity and Correlation of LLM Value Systems: LLM Value Rankings are Not Stable.Zhenheng Tang, Qihua Pan, Jingya Shen, Xiang Liu, Qian Wang, Bo Li, Xiaowen Chu
2026ICDCSClearing MCP Navigation Fog with Economics-Aware Hierarchical Tool Routing.Jieling Yu, Zhenheng Tang, Ruiting Zhou, Baochun Li, Bo Li
2026ICDESNI-GNN: SmartNIC-Assisted Full-Graph GNN Training with In-Network Embedding Prediction.Guofan Yu, Sitian Chen, Zhenheng Tang, Xiaowen Chu, Amelie Chi Zhou
2025AAAIParZC: Parametric Zero-Cost Proxies for Efficient NAS.Peijie Dong, Lujun Li, Zhenheng Tang, Xiang Liu, Zimian Wei, Qiang Wang, Xiaowen Chu
2025ACLMegaAgent: A Large-Scale Autonomous LLM-based Multi-Agent System Without Predefined SOPs.Qian Wang, Tianyu Wang, Zhenheng Tang, Qinbin Li, Nuo Chen, Jingsheng Liang, Bingsheng He
2025ASPLOSFSMoE: A Flexible and Scalable Training System for Sparse Mixture-of-Experts Models.Xinglin Pan, Wenxiang Lin, Lin Zhang, Shaohuai Shi, Zhenheng Tang, Rui Wang, Bo Li, Xiaowen Chu
2025ICLRSTBLLM: Breaking the 1-Bit Barrier with Structured Binary LLMs.Peijie Dong, Lujun Li, Yuedong Zhong, Dayou Du, Ruibo Fan, Yuhan Chen, Zhenheng Tang, Qiang Wang, Wei Xue, Yike Guo, Xiaowen Chu
2025ICLRHot-pluggable Federated Learning: Bridging General and Personalized FL via Dynamic Selection.Lei Shen, Zhenheng Tang, Lijun Wu, Yonggang Zhang, Xiaowen Chu, Tao Qin, Bo Han
2025ICMLCan Compressed LLMs Truly Act? An Empirical Evaluation of Agentic Capabilities in LLM Compression.Peijie Dong, Zhenheng Tang, Xiang Liu, Lujun Li, Xiaowen Chu, Bo Li
2025IJCAIOne-shot Federated Learning Methods: A Practical Guide.Xiang Liu, Zhenheng Tang, Xia Li, Yijun Song, Sijie Ji, Zemin Liu, Bo Han, Linshan Jiang, Jialin Li
2025KDDBurstGPT: A Real-World Workload Dataset to Optimize LLM Serving Systems.Yuxin Wang, Yuhan Chen, Zeyu Li, Xueze Kang, Yuchu Fang, Yeju Zhou, Yang Zheng, Zhenheng Tang, Xin He, Rui Guo, Xin Wang, Qiang Wang, Amelie Chi Zhou, Xiaowen Chu
2024CVPRVMRNN: Integrating Vision Mamba and LSTM for Efficient and Accurate Spatiotemporal Forecasting.Yujin Tang, Peijie Dong, Zhenheng Tang, Xiaowen Chu, Junwei Liang
2024EMNLPLPZero: Language Model Zero-cost Proxy Search from Zero.Peijie Dong, Lujun Li, Xiang Liu, Zhenheng Tang, Xuebo Liu, Qiang Wang, Xiaowen Chu
2024ICLRFedImpro: Measuring and Improving Client Update in Federated Learning.Zhenheng Tang, Yonggang Zhang, Shaohuai Shi, Xinmei Tian, Tongliang Liu, Bo Han, Xiaowen Chu
2024ICMLPruner-Zero: Evolving Symbolic Pruning Metric From Scratch for Large Language Models.Peijie Dong, Lujun Li, Zhenheng Tang, Xiang Liu, Xinglin Pan, Qiang Wang, Xiaowen Chu
2024ICPPBandwidth-Aware and Overlap-Weighted Compression for Communication-Efficient Federated Learning.Zichen Tang, Junlin Huang, Rudan Yan, Yuxin Wang, Zhenheng Tang, Shaohuai Shi, Amelie Chi Zhou, Xiaowen Chu
2023AAAINAS-LID: Efficient Neural Architecture Search with Local Intrinsic Dimension.Xin He, Jiangchao Yao, Yuxin Wang, Zhenheng Tang, Ka Chun Cheung, Simon See, Bo Han, Xiaowen Chu
2022ICMLVirtual Homogeneity Learning: Defending against Data Heterogeneity in Federated Learning.Zhenheng Tang, Yonggang Zhang, Shaohuai Shi, Xin He, Bo Han, Xiaowen Chu
2020CCGRIDBenchmarking the Performance and Energy Efficiency of AI Accelerators for AI Training.Yuxin Wang, Qiang Wang, Shaohuai Shi, Xin He, Zhenheng Tang, Kaiyong Zhao, Xiaowen Chu
2020ECAILayer-Wise Adaptive Gradient Sparsification for Distributed Deep Learning with Convergence Guarantees.Shaohuai Shi, Zhenheng Tang, Qiang Wang, Kaiyong Zhao, Xiaowen Chu
2020ICDCSCommunication-Efficient Decentralized Learning with Sparsification and Adaptive Peer Selection.Zhenheng Tang, Shaohuai Shi, Xiaowen Chu
2019ICDCSA Distributed Synchronous SGD Algorithm with Global Top-k Sparsification for Low Bandwidth Networks.Shaohuai Shi, Qiang Wang, Kaiyong Zhao, Zhenheng Tang, Yuxin Wang, Xiang Huang, Xiaowen Chu
2019IJCAIA Convergence Analysis of Distributed SGD with Communication-Efficient Gradient Sparsification.Shaohuai Shi, Kaiyong Zhao, Qiang Wang, Zhenheng Tang, Xiaowen Chu