ExplSched: Maximizing Deep Learning Cluster Efficiency for Exploratory Jobs. - Hongliang Li 003; Hairui Zhao 002; Zhewen Xu; Xiang Li 197; Haixiao Xu (CLUSTER, 2023)

EFNAS: Efficient Federated Neural Architecture Search Across AIoT Devices. - Xiaohui Wei 002; Guanhua Chen 003; Chen Yang; Hairui Zhao 002; Chenyang Wang; Hengshan Yue (IJCNN, 2024)

Visage: Visual-Aware Generation of Adversarial Examples in Black-Box for Text Classification. - Hairui Zhao 002; Xinyu Li; Hongliang Li 003 (NLPCC (4), 2024)

Interference-aware opportunistic job placement for shared distributed deep learning clusters. - Hongliang Li 003; Hairui Zhao 002; Ting Sun; Xiang Li 197; Haixiao Xu; Keqin Li (J. Parallel Distributed Comput., 2024)

ArrayPipe: Introducing Job-Array Pipeline Parallelism for High Throughput Model Exploration. - Hairui Zhao 002; Hongliang Li 003; Qi Tian; Jie Wu 001; Meng Zhang; Zhewen Xu; Xiang Li 197; Haixiao Xu (INFOCOM, 2025)

FlexPipe: Maximizing Training Efficiency for Transformer-based Models with Variable-Length Inputs. - Hairui Zhao 002; Qi Tian; Hongliang Li 003; Zizhong Chen (USENIX ATC, 2025)

Alleviating straggler impacts for data parallel deep learning with hybrid parameter update. - Hongliang Li 003; Qi Tian; Dong Xu; Hairui Zhao 002; Zhewen Xu (Future Gener. Comput. Syst., 2025)

Convergence-aware optimal checkpointing for exploratory deep learning training jobs. - Hongliang Li 003; Zichen Wang; Hairui Zhao 002; Meng Zhang; Xiang Li 197; Haixiao Xu (Future Gener. Comput. Syst., 2025)

FT-Transformer: Resilient and Reliable Transformer with End-to-End Fault Tolerant Attention. - Huangliang Dai; Shixun Wu; Hairui Zhao 002; Jiajun Huang 001; Zizhe Jian; Yue Zhu; Haiyang Hu; Zizhong Chen (CoRR, 2025)

TurboFNO: High-Performance Fourier Neural Operator with Fused FFT-GEMM-iFFT on GPU. - Shixun Wu; Yujia Zhai; Huangliang Dai; Hairui Zhao 002; Yue Zhu; Haiyang Hu; Zizhong Chen (CoRR, 2025)

PRISM: An Efficient GPU-Based Lossy Compression Framework for Progressive Data Retrieval with Multi-Level Interpolation. - Bing Lu 001; Zedong Liu; Hairui Zhao 002; Dejun Luo; Wenjing Huang 002; Yida Gu; Jinyang Liu 003; Guangming Tan; Dingwen Tao (PPoPP, 2026)

CCL-D: A High-Precision Diagnostic System for Slow and Hang Anomalies in Large-Scale Model Training. - Yida Gu; Fakang Wang; Jianhao Fu; Zhenhang Sun; Qianyu Zhang 001; Hairui Zhao 002; Xingchen Liu; Yang Tian; Wenjing Huang 002; Zedong Liu; Yifan Chen; Jinwu Yang; et al. (PPoPP, 2026)

COCCL: A Collective Communication Library Supporting Easy Integration and Configuration of Customized Compression for Scalable LLM Training. - Xingchen Liu; Haoran Kong; Hairui Zhao 002; Shengkai Lyu; Zheng Wei; Man Liu; Xingjian Tian; Liyang Zhao; Zhuohan Chen; Fakang Wang; Zizhong Chen; Zhan Wang 003; et al. (PPoPP, 2026)

ENEC: A Lossless AI Model Compression Method Enabling Fast Inference on Ascend NPUs. - Jinwu Yang; Jiaan Wu; Zedong Liu; Xinyang Ma; Hairui Zhao 002; Yida Gu; Yuanhong Huang; Xingchen Liu; Wenjing Huang 002; Zheng Wei; Jing Xing; Yili Ma; et al. (CoRR, 2026)

A Fully GPU-Accelerated Framework for High-Performance Configuration Interaction Selection with Neural Network Quantum States. - Daran Sun; Bowen Kan; Haoquan Long; Hairui Zhao 002; Haoxu Li; Yicheng Liu; Pengyu Zhou; Ankang Feng; Wenjing Huang 002; Yida Gu; Zhenyu Li; Honghui Shang; et al. (CoRR, 2026)

TACO: Efficient Communication Compression of Intermediate Tensors for Scalable Tensor-Parallel LLM Training. - Man Liu; Xingchen Liu; Xingjian Tian; Bing Lu 001; Shengkay Lyu; Shengquan Yin; Wenjing Huang 002; Zheng Wei; Hairui Zhao 002; Guangming Tan; Dingwen Tao (CoRR, 2026)

KVServe: Service-Aware KV Cache Compression for Communication-Efficient Disaggregated LLM Serving. - Zedong Liu; Xinyang Ma; Dejun Luo; Hairui Zhao 002; Bing Lu 001; Wenjing Huang 002; Yida Gu; Xingchen Liu; Zheng Wei; Jinyang Liu 003; Dingwen Tao; Guangming Tan (CoRR, 2026)