Zhenheng Tang - RankMe

82 papers A* 14A 3B 2Journal 56Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Are Dilemmas and Conflicts in LLM Alignment Solvable? A View from Priority Graph. CoRR Zhenheng Tang, Xiang Liu, Qian Wang, Eunsol Choi, Bo Li, Xiaowen Chu
2026	J	`jnl`	CloneMem: Benchmarking Long-Term Memory for AI Clones. CoRR Sen Hu, Zhiyu Zhang, Yuxiang Wei, Xueran Han, Zhenheng Tang, Huacan Wang, Ronghao Chen
2026	J	`jnl`	Dissecting Outlier Dynamics in LLM NVFP4 Pretraining. CoRR Peijie Dong, Ruibo Fan, Yuechen Tao, Di Mou, Wenhu Hu, Zhenheng Tang, Yinghao Yu, Jiamang Wang, Wenbo Su, Guodong Yang, Liping Zhang, Xiaowen Chu, Baochun Li, Bo Li
2026	J	`jnl`	EpochX: Building the Infrastructure for an Emergent Agent Civilization. CoRR Huacan Wang, Chaofa Yuan, Xialie Zhuang, Tu Hu, Shuo Zhang, Jun Han, Shi Wei, Daiqiang Li, Jingping Liu, Kunyi Wang, Zihan Yin, Zhenheng Tang, Andy Wang, Henry Peng Zou, Philip S. Yu, Sen Hu, Qizhen Lan, Ronghao Chen
2026	J	`jnl`	EvoFSM: Controllable Self-Evolution for Deep Research with Finite State Machines. CoRR Shuo Zhang, Chaofa Yuan, Ryan Guo, Xiaomin Yu, Rui Xu, Zhangquan Chen, Zinuo Li, Zhi Yang, Shuhao Guan, Zhenheng Tang, Sen Hu, Liwen Zhang, Ronghao Chen, Huacan Wang
2026	A*	`conf`	GitTaskBench: A Benchmark for Code Agents Solving Real-World Tasks Through Code Repository Leveraging. AAAI 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
2026	J	`jnl`	Is Your LLM-as-a-Recommender Agent Trustable? LLMs' Recommendation is Easily Hacked by Biases (Preferences). CoRR Zichen Tang, Zirui Zhang, Qian Wang, Zhenheng Tang, Bo Li, Xiaowen Chu
2026	J	`jnl`	OmniReview: A Large-scale Benchmark and LLM-enhanced Framework for Realistic Reviewer Recommendation. CoRR Yehua Huang, Penglei Sun, Zebin Chen, Zhenheng Tang, Xiaowen Chu
2026	J	`jnl`	On the Spectral Flattening of Quantized Embeddings. CoRR Junlin Huang, Wenyi Fang, Zhenheng Tang, Yuxin Wang, Xueze Kang, Yang Zheng, Bo Li, Xiaowen Chu
2026	J	`jnl`	Rethinking Deep Research from the Perspective of Web Content Distribution Matching. CoRR Zixuan Yu, Zhenheng Tang, Tongliang Liu, Chengqi Zhang, Xiaowen Chu, Bo Han
2025	J	`jnl`	AnTKV: Anchor Token-Aware Sub-Bit Vector Quantization for KV Cache in Large Language Models. CoRR Zeyu Li, Chuanfu Xiao, Yang Wang, Xiang Liu, Zhenheng Tang, Baotong Lu, Mao Yang, Xinyu Chen, Xiaowen Chu
2025	J	`jnl`	Assessing Judging Bias in Large Reasoning Models: An Empirical Study. CoRR Qian Wang, Zhanzhi Lou, Zhenheng Tang, Nuo Chen, Xuandong Zhao, Wenxuan Zhang, Dawn Song, Bingsheng He
2025	—	`conf`	BurstGPT: A Real-World Workload Dataset to Optimize LLM Serving Systems. KDD (2) 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
2025	A*	`conf`	Can Compressed LLMs Truly Act? An Empirical Evaluation of Agentic Capabilities in LLM Compression. ICML Peijie Dong, Zhenheng Tang, Xiang Liu, Lujun Li, Xiaowen Chu, Bo Li
2025	J	`jnl`	Can Compressed LLMs Truly Act? An Empirical Evaluation of Agentic Capabilities in LLM Compression. CoRR Peijie Dong, Zhenheng Tang, Xiang Liu, Lujun Li, Xiaowen Chu, Bo Li
2025	J	`jnl`	Can LLMs Maintain Fundamental Abilities under KV Cache Compression? CoRR Xiang Liu, Zhenheng Tang, Hong Chen, Peijie Dong, Zeyu Li, Xiuze Zhou, Bo Li, Xuming Hu, Xiaowen Chu
2025	J	`jnl`	ChunkKV: Semantic-Preserving KV Cache Compression for Efficient Long-Context LLM Inference. CoRR Xiang Liu, Zhenheng Tang, Peijie Dong, Zeyu Li, Bo Li, Xuming Hu, Xiaowen Chu
2025	J	`jnl`	DreamDDP: Accelerating Data Parallel Distributed LLM Training with Layer-wise Scheduled Partial Synchronization. CoRR Zhenheng Tang, Zichen Tang, Junlin Huang, Xinglin Pan, Rudan Yan, Yuxin Wang, Amelie Chi Zhou, Shaohuai Shi, Xiaowen Chu, Bo Li
2025	J	`jnl`	Efficient MoE Inference with Fine-Grained Scheduling of Disaggregated Expert Parallelism. CoRR Xinglin Pan, Shaohuai Shi, Wenxiang Lin, Yuxin Wang, Zhenheng Tang, Wei Wang, Xiaowen Chu
2025	J	`jnl`	ElasWave: An Elastic-Native System for Scalable Hybrid-Parallel Training. CoRR Xueze Kang, Guangyu Xiang, Yuxin Wang, Hao Zhang, Yuchu Fang, Yuhang Zhou, Zhenheng Tang, Youhui Lv, Eliran Maman, Mark Wasserman, Alon Zameret, Zhipeng Bian, Shushu Chen, Zhiyou Yu, Jin Wang, Xiaoyu Wu, Yang Zheng, Chen Tian, Xiaowen Chu
2025	—	`conf`	FSMoE: A Flexible and Scalable Training System for Sparse Mixture-of-Experts Models. ASPLOS (1) Xinglin Pan, Wenxiang Lin, Lin Zhang, Shaohuai Shi, Zhenheng Tang, Rui Wang, Bo Li, Xiaowen Chu
2025	J	`jnl`	FSMoE: A Flexible and Scalable Training System for Sparse Mixture-of-Experts Models. CoRR Xinglin Pan, Wenxiang Lin, Lin Zhang, Shaohuai Shi, Zhenheng Tang, Rui Wang, Bo Li, Xiaowen Chu
2025	J	`jnl`	From ChatGPT to DeepSeek: Can LLMs Simulate Humanity? CoRR Qian Wang, Zhenheng Tang, Bingsheng He
2025	J	`jnl`	GitTaskBench: A Benchmark for Code Agents Solving Real-World Tasks Through Code Repository Leveraging. CoRR Ziyi Ni, Huacan Wang, Shuo Zhang, Shuo Lu, Ziyang He, Wang You, Zhenheng Tang, Yuntao Du, Bill Sun, Hongzhang Liu, Sen Hu, Ronghao Chen, Bo Li, Xin Li, Chen Hu, Binxing Jiao, Daxin Jiang, Pin Lyu
2025	A*	`conf`	Hot-pluggable Federated Learning: Bridging General and Personalized FL via Dynamic Selection. ICLR Lei Shen, Zhenheng Tang, Lijun Wu, Yonggang Zhang, Xiaowen Chu, Tao Qin, Bo Han
2025	J	`jnl`	Mediator: Memory-efficient LLM Merging with Less Parameter Conflicts and Uncertainty Based Routing. CoRR Kunfeng Lai, Zhenheng Tang, Xinglin Pan, Peijie Dong, Xiang Liu, Haolan Chen, Li Shen, Bo Li, Xiaowen Chu
2025	—	`conf`	MegaAgent: A Large-Scale Autonomous LLM-based Multi-Agent System Without Predefined SOPs. ACL (Findings) Qian Wang, Tianyu Wang, Zhenheng Tang, Qinbin Li, Nuo Chen, Jingsheng Liang, Bingsheng He
2025	J	`jnl`	Octopus: Agentic Multimodal Reasoning with Six-Capability Orchestration. CoRR Yifu Guo, Zishan Xu, Zhiyuan Yao, Yuquan Lu, Jiaye Lin, Sen Hu, Zhenheng Tang, Huacan Wang, Ronghao Chen
2025	A*	`conf`	One-shot Federated Learning Methods: A Practical Guide. IJCAI Xiang Liu, Zhenheng Tang, Xia Li, Yijun Song, Sijie Ji, Zemin Liu, Bo Han, Linshan Jiang, Jialin Li
2025	J	`jnl`	One-shot Federated Learning Methods: A Practical Guide. CoRR Xiang Liu, Zhenheng Tang, Xia Li, Yijun Song, Sijie Ji, Zemin Liu, Bo Han, Linshan Jiang, Jialin Li
2025	A*	`conf`	ParZC: Parametric Zero-Cost Proxies for Efficient NAS. AAAI Peijie Dong, Lujun Li, Zhenheng Tang, Xiang Liu, Zimian Wei, Qiang Wang, Xiaowen Chu
2025	J	`jnl`	Privacy-Preserving Large-Scale Set Intersection: An Efficient Method With Enhanced Security. IEEE Internet Things J. Yuhan Yang, Qian Xu, Huajie Shen, Bo Yu, Wei He, Lijun Wei, Jing Wu, Chengnian Long, Zhenheng Tang, Xiaowen Chu
2025	J	`jnl`	Reasoning Language Model Inference Serving Unveiled: An Empirical Study. CoRR Qi Li, Junpan Wu, Xiang Liu, Yuxin Wang, Zeyu Li, Zhenheng Tang, Yuhan Chen, Shaohuai Shi, Xiaowen Chu
2025	J	`jnl`	Reasoning Models Can be Easily Hacked by Fake Reasoning Bias. CoRR Qian Wang, Yubo Fan, Zhenheng Tang, Nuo Chen, Wenxuan Wang, Bingsheng He
2025	J	`jnl`	RouteMark: A Fingerprint for Intellectual Property Attribution in Routing-based Model Merging. CoRR Xin He, Junxi Shen, Zhenheng Tang, Xiaowen Chu, Bo Li, Ivor W. Tsang, Yew-Soon Ong
2025	A*	`conf`	STBLLM: Breaking the 1-Bit Barrier with Structured Binary LLMs. ICLR Peijie Dong, Lujun Li, Yuedong Zhong, Dayou Du, Ruibo Fan, Yuhan Chen, Zhenheng Tang, Qiang Wang, Wei Xue, Yike Guo, Xiaowen Chu
2025	J	`jnl`	The Lottery LLM Hypothesis, Rethinking What Abilities Should LLM Compression Preserve? CoRR Zhenheng Tang, Xiang Liu, Qian Wang, Peijie Dong, Bingsheng He, Xiaowen Chu, Bo Li
2025	J	`jnl`	What Limits LLM-based Human Simulation: LLMs or Our Design? CoRR Qian Wang, Jiaying Wu, Zhenheng Tang, Bingqiao Luo, Nuo Chen, Wei Chen, Bingsheng He
2024	B	`conf`	Bandwidth-Aware and Overlap-Weighted Compression for Communication-Efficient Federated Learning. ICPP Zichen Tang, Junlin Huang, Rudan Yan, Yuxin Wang, Zhenheng Tang, Shaohuai Shi, Amelie Chi Zhou, Xiaowen Chu
2024	J	`jnl`	Bandwidth-Aware and Overlap-Weighted Compression for Communication-Efficient Federated Learning. CoRR Zichen Tang, Junlin Huang, Rudan Yan, Yuxin Wang, Zhenheng Tang, Shaohuai Shi, Amelie Chi Zhou, Xiaowen Chu
2024	A*	`conf`	Discovering Sparsity Allocation for Layer-wise Pruning of Large Language Models. NeurIPS Lujun Li, Peijie Dong, Zhenheng Tang, Xiang Liu, Qiang Wang, Wenhan Luo, Wei Xue, Qifeng Liu, Xiaowen Chu, Yike Guo
2024	J	`jnl`	Enhancing LLM Trading Performance with Fact-Subjectivity Aware Reasoning. CoRR Qian Wang, Yuchen Gao, Zhenheng Tang, Bingqiao Luo, Bingsheng He
2024	J	`jnl`	ExpertFlow: Optimized Expert Activation and Token Allocation for Efficient Mixture-of-Experts Inference. CoRR Xin He, Shunkang Zhang, Yuxin Wang, Haiyan Yin, Zihao Zeng, Shaohuai Shi, Zhenheng Tang, Xiaowen Chu, Ivor W. Tsang, Yew-Soon Ong
2024	A*	`conf`	FedImpro: Measuring and Improving Client Update in Federated Learning. ICLR Zhenheng Tang, Yonggang Zhang, Shaohuai Shi, Xinmei Tian, Tongliang Liu, Bo Han, Xiaowen Chu
2024	J	`jnl`	FedImpro: Measuring and Improving Client Update in Federated Learning. CoRR Zhenheng Tang, Yonggang Zhang, Shaohuai Shi, Xinmei Tian, Tongliang Liu, Bo Han, Xiaowen Chu
2024	A*	`conf`	FuseFL: One-Shot Federated Learning through the Lens of Causality with Progressive Model Fusion. NeurIPS Zhenheng Tang, Yonggang Zhang, Peijie Dong, Yiu-ming Cheung, Amelie Chi Zhou, Bo Han, Xiaowen Chu
2024	J	`jnl`	FuseFL: One-Shot Federated Learning through the Lens of Causality with Progressive Model Fusion. CoRR Zhenheng Tang, Yonggang Zhang, Peijie Dong, Yiu-ming Cheung, Amelie Chi Zhou, Bo Han, Xiaowen Chu
2024	J	`jnl`	FusionLLM: A Decentralized LLM Training System on Geo-distributed GPUs with Adaptive Compression. CoRR Zhenheng Tang, Xueze Kang, Yiming Yin, Xinglin Pan, Yuxin Wang, Xin He, Qiang Wang, Rongfei Zeng, Kaiyong Zhao, Shaohuai Shi, Amelie Chi Zhou, Bo Li, Bingsheng He, Xiaowen Chu
2024	—	`conf`	LPZero: Language Model Zero-cost Proxy Search from Zero. EMNLP (Findings) Peijie Dong, Lujun Li, Xiang Liu, Zhenheng Tang, Xuebo Liu, Qiang Wang, Xiaowen Chu
2024	J	`jnl`	LPZero: Language Model Zero-cost Proxy Search from Zero. CoRR Peijie Dong, Lujun Li, Xiang Liu, Zhenheng Tang, Xuebo Liu, Qiang Wang, Xiaowen Chu
2024	A*	`conf`	Pruner-Zero: Evolving Symbolic Pruning Metric From Scratch for Large Language Models. ICML Peijie Dong, Lujun Li, Zhenheng Tang, Xiang Liu, Xinglin Pan, Qiang Wang, Xiaowen Chu
2024	J	`jnl`	Pruner-Zero: Evolving Symbolic Pruning Metric from scratch for Large Language Models. CoRR Peijie Dong, Lujun Li, Zhenheng Tang, Xiang Liu, Xinglin Pan, Qiang Wang, Xiaowen Chu
2024	J	`jnl`	STBLLM: Breaking the 1-Bit Barrier with Structured Binary LLMs. CoRR Peijie Dong, Lujun Li, Dayou Du, Yuhan Chen, Zhenheng Tang, Qiang Wang, Wei Xue, Wenhan Luo, Qifeng Liu, Yike Guo, Xiaowen Chu
2024	A*	`conf`	Should We Really Edit Language Models? On the Evaluation of Edited Language Models. NeurIPS Qi Li, Xiang Liu, Zhenheng Tang, Peijie Dong, Zeyu Li, Xinglin Pan, Xiaowen Chu
2024	J	`jnl`	Should We Really Edit Language Models? On the Evaluation of Edited Language Models. CoRR Qi Li, Xiang Liu, Zhenheng Tang, Peijie Dong, Zeyu Li, Xinglin Pan, Xiaowen Chu
2024	J	`jnl`	Towards Efficient and Reliable LLM Serving: A Real-World Workload Study. CoRR Yuxin Wang, Yuhan Chen, Zeyu Li, Zhenheng Tang, Rui Guo, Xin Wang, Qiang Wang, Amelie Chi Zhou, Xiaowen Chu
2024	—	`conf`	VMRNN: Integrating Vision Mamba and LSTM for Efficient and Accurate Spatiotemporal Forecasting. CVPR Workshops Yujin Tang, Peijie Dong, Zhenheng Tang, Xiaowen Chu, Junwei Liang
2024	J	`jnl`	VMRNN: Integrating Vision Mamba and LSTM for Efficient and Accurate Spatiotemporal Forecasting. CoRR Yujin Tang, Peijie Dong, Zhenheng Tang, Xiaowen Chu, Junwei Liang
2023	J	`jnl`	FedML Parrot: A Scalable Federated Learning System via Heterogeneity-aware Scheduling on Sequential and Hierarchical Training. CoRR Zhenheng Tang, Xiaowen Chu, Ryan Yide Ran, Sunwoo Lee, Shaohuai Shi, Yonggang Zhang, Yuxin Wang, Alex Qiaozhong Liang, Salman Avestimehr, Chaoyang He
2023	J	`jnl`	FusionAI: Decentralized Training and Deploying LLMs with Massive Consumer-Level GPUs. CoRR Zhenheng Tang, Yuxin Wang, Xin He, Longteng Zhang, Xinglin Pan, Qiang Wang, Rongfei Zeng, Kaiyong Zhao, Shaohuai Shi, Bingsheng He, Xiaowen Chu
2023	J	`jnl`	GossipFL: A Decentralized Federated Learning Framework With Sparsified and Adaptive Communication. IEEE Trans. Parallel Distributed Syst. Zhenheng Tang, Shaohuai Shi, Bo Li, Xiaowen Chu
2023	A*	`conf`	NAS-LID: Efficient Neural Architecture Search with Local Intrinsic Dimension. AAAI Xin He, Jiangchao Yao, Yuxin Wang, Zhenheng Tang, Ka Chun Cheung, Simon See, Bo Han, Xiaowen Chu
2023	J	`jnl`	Reliable and Efficient In-Memory Fault Tolerance of Large Language Model Pretraining. CoRR Yuxin Wang, Shaohuai Shi, Xin He, Zhenheng Tang, Xinglin Pan, Yang Zheng, Xiaoyu Wu, Amelie Chi Zhou, Bingsheng He, Xiaowen Chu
2022	J	`jnl`	NAS-LID: Efficient Neural Architecture Search with Local Intrinsic Dimension. CoRR Xin He, Jiangchao Yao, Yuxin Wang, Zhenheng Tang, Ka Chun Cheung, Simon See, Bo Han, Xiaowen Chu
2022	A*	`conf`	Virtual Homogeneity Learning: Defending against Data Heterogeneity in Federated Learning. ICML Zhenheng Tang, Yonggang Zhang, Shaohuai Shi, Xin He, Bo Han, Xiaowen Chu
2022	J	`jnl`	Virtual Homogeneity Learning: Defending against Data Heterogeneity in Federated Learning. CoRR Zhenheng Tang, Yonggang Zhang, Shaohuai Shi, Xin He, Bo Han, Xiaowen Chu
2021	J	`jnl`	A Quantitative Survey of Communication Optimizations in Distributed Deep Learning. IEEE Netw. Shaohuai Shi, Zhenheng Tang, Xiaowen Chu, Chengjian Liu, Wei Wang, Bo Li
2021	J	`jnl`	FedCV: A Federated Learning Framework for Diverse Computer Vision Tasks. CoRR Chaoyang He, Alay Dilipbhai Shah, Zhenheng Tang, Di Fan, Adarshan Naiynar Sivashunmugam, Keerti Bhogaraju, Mita Shimpi, Li Shen, Xiaowen Chu, Mahdi Soltanolkotabi, Salman Avestimehr
2020	B	`conf`	Benchmarking the Performance and Energy Efficiency of AI Accelerators for AI Training. CCGRID Yuxin Wang, Qiang Wang, Shaohuai Shi, Xin He, Zhenheng Tang, Kaiyong Zhao, Xiaowen Chu
2020	A	`conf`	Communication-Efficient Decentralized Learning with Sparsification and Adaptive Peer Selection. ICDCS Zhenheng Tang, Shaohuai Shi, Xiaowen Chu
2020	J	`jnl`	Communication-Efficient Decentralized Learning with Sparsification and Adaptive Peer Selection. CoRR Zhenheng Tang, Shaohuai Shi, Xiaowen Chu
2020	J	`jnl`	Communication-Efficient Distributed Deep Learning: A Comprehensive Survey. CoRR Zhenheng Tang, Shaohuai Shi, Xiaowen Chu, Wei Wang, Bo Li
2020	J	`jnl`	Communication-Efficient Distributed Deep Learning: Survey, Evaluation, and Challenges. CoRR Shaohuai Shi, Zhenheng Tang, Xiaowen Chu, Chengjian Liu, Wei Wang, Bo Li
2020	A	`conf`	Layer-Wise Adaptive Gradient Sparsification for Distributed Deep Learning with Convergence Guarantees. ECAI Shaohuai Shi, Zhenheng Tang, Qiang Wang, Kaiyong Zhao, Xiaowen Chu
2019	A*	`conf`	A Convergence Analysis of Distributed SGD with Communication-Efficient Gradient Sparsification. IJCAI Shaohuai Shi, Kaiyong Zhao, Qiang Wang, Zhenheng Tang, Xiaowen Chu
2019	A	`conf`	A Distributed Synchronous SGD Algorithm with Global Top-k Sparsification for Low Bandwidth Networks. ICDCS Shaohuai Shi, Qiang Wang, Kaiyong Zhao, Zhenheng Tang, Yuxin Wang, Xiang Huang, Xiaowen Chu
2019	J	`jnl`	A Distributed Synchronous SGD Algorithm with Global Top-k Sparsification for Low Bandwidth Networks. CoRR Shaohuai Shi, Qiang Wang, Kaiyong Zhao, Zhenheng Tang, Yuxin Wang, Xiang Huang, Xiaowen Chu
2019	—	`conf`	Computer-Aided Clinical Skin Disease Diagnosis Using CNN and Object Detection Models. IEEE BigData Xin He, Xiaoming Liu, Zhili Wu, Wu Yu, Xiaowen Chu, Shihao Wang, Shaohuai Shi, Zhenheng Tang, Yuxin Wang, Zhihao Zhao, Jing Dai, Ronghao Ni, Xiaofeng Zhang
2019	J	`jnl`	Computer-Aided Clinical Skin Disease Diagnosis Using CNN and Object Detection Models. CoRR Xin He, Shihao Wang, Shaohuai Shi, Zhenheng Tang, Yuxin Wang, Zhihao Zhao, Jing Dai, Ronghao Ni, Xiaofeng Zhang, Xiaoming Liu, Zhili Wu, Wu Yu, Xiaowen Chu
2019	J	`jnl`	Layer-wise Adaptive Gradient Sparsification for Distributed Deep Learning with Convergence Guarantees. CoRR Shaohuai Shi, Zhenheng Tang, Qiang Wang, Kaiyong Zhao, Xiaowen Chu
2019	—	`conf`	The Impact of GPU DVFS on the Energy and Performance of Deep Learning: an Empirical Study. e-Energy Zhenheng Tang, Yuxin Wang, Qiang Wang, Xiaowen Chu
2019	J	`jnl`	The Impact of GPU DVFS on the Energy and Performance of Deep Learning: an Empirical Study. CoRR Zhenheng Tang, Yuxin Wang, Qiang Wang, Xiaowen Chu