AutoSys: The Design and Operation of Learning-Augmented Systems. - Chieh-Jan Mike Liang; Hui Xue 004; Mao Yang 004; Lidong Zhou; Lifei Zhu; Zhao Lucis Li; Zibo Wang; Qi Chen 009; Quanlu Zhang; Chuanjie Liu; Wenjun Dai (USENIX ATC, 2020)

BISON: BM25-weighted Self-Attention Framework for Multi-Fields Document Search. - Xuan Shan; Chuanjie Liu; Yiqian Xia; Qi Chen; Yusi Zhang; Angen Luo; Yuxiang Luo (CoRR, 2020)

GLOW : Global Weighted Self-Attention Network for Web Search. - Xuan Shan; Chuanjie Liu; Yiqian Xia; Qi Chen; Yusi Zhang; Kaize Ding; Yaobo Liang; Angen Luo; Yuxiang Luo (IEEE BigData, 2021)

SPANN: Highly-efficient Billion-scale Approximate Nearest Neighborhood Search. - Qi Chen 009; Bing Zhao; Haidong Wang; Mingqin Li; Chuanjie Liu; Zengzhong Li; Mao Yang 004; Jingdong Wang 001 (NeurIPS, 2021)

Match Plan Generation in Web Search with Parameterized Action Reinforcement Learning. - Ziyan Luo; Linfeng Zhao; Wei Cheng; Sihao Chen; Qi Chen 009; Hui Xue 004; Haidong Wang; Chuanjie Liu; Mao Yang 004; Lintao Zhang (WWW, 2021)

MIRA: Leveraging Multi-Intention Co-click Information in Web-scale Document Retrieval using Deep Neural Networks. - Yusi Zhang; Chuanjie Liu; Angen Luo; Hui Xue 004; Xuan Shan; Yuxiang Luo; Yiqian Xia; Yuanchi Yan; Haidong Wang (WWW, 2021)

SPANN: Highly-efficient Billion-scale Approximate Nearest Neighbor Search. - Qi Chen 009; Bing Zhao; Haidong Wang; Mingqin Li; Chuanjie Liu; Zengzhong Li; Mao Yang 004; Jingdong Wang 001 (CoRR, 2021)

Deep Reinforcement Learning to Enhance the Energy-efficient Performance of Unmanned Aerial Vehicles-enabled Fog Radio Access Networks. - Chuanjie Liu; Siyu Ren; Shuang Du; Cheng Dai; Bing Guo; Runzhi Fan (ISPA/BDCloud/SocialCom/SustainCom, 2023)

Prompt-Oriented Fine-Tuning Dual Bert for Aspect-Based Sentiment Analysis. - Wen Yin; Yi Xu; Cencen Liu; Dezhang Zheng; Qi Wang; Chuanjie Liu (ICANN (10), 2023)

A Magnetic Micro Robotic Trajectory Controller Design for Cell Trapping. - Fanghao Wang; Daoyuan Jin; Youchao Zhang; Xiangyu Guo; Chuanjie Liu; Mingchuan Zhou (ICARM, 2023)

Automated Dissection of Intact Single Cell From Tissue Using Robotic Micromanipulation System. - Youchao Zhang; Xiangyu Guo; Qingyu Wang; Fanghao Wang; Chuanjie Liu; Mingchuan Zhou; Yibin Ying (IEEE Robotics Autom. Lett., 2023)

Tone Mapping Operator for High Dynamic Range Images Based on Modified iCAM06. - Yumei Li 015; Ningfang Liao; Wenmin Wu; Chenyang Deng; Yasheng Li; Qiumei Fan; Chuanjie Liu (Sensors, 2023)

RecFlex: Enabling Feature Heterogeneity-Aware Optimization for Deep Recommendation Models with Flexible Schedules. - Zaifeng Pan; Zhen Zheng; Feng Zhang 007; Bing Xie; Ruofan Wu; Shaden Smith; Chuanjie Liu; Olatunji Ruwase; Xiaoyong Du 001; Yufei Ding 001 (SC, 2024)

MS MARCO Web Search: A Large-scale Information-rich Web Dataset with Millions of Real Click Labels. - Qi Chen 009; Xiubo Geng; Corby Rosset; Carolyn Buractaon; Jingwen Lu; Tao Shen 001; Kun Zhou 002; Chenyan Xiong; Yeyun Gong; Paul N. Bennett; Nick Craswell; Xing Xie 001; et al. (WWW (Companion Volume), 2024)

BatchLLM: Optimizing Large Batched LLM Inference with Global Prefix Sharing and Throughput-oriented Token Batching. - Zhen Zheng; Xin Ji; Taosong Fang; Fanghao Zhou; Chuanjie Liu; Gang Peng (CoRR, 2024)

MixLLM: LLM Quantization with Global Mixed-precision between Output-features and Highly-efficient System Design. - Zhen Zheng; Xiaonan Song; Chuanjie Liu (CoRR, 2024)

A nonlocal feature self-similarity based tensor completion method for video recovery. - Shoupeng Lu; Peng Wang; Wenhui Zhu; Cheng Dai; Ying Zhang; Chuanjie Liu; Shengxin Dai (Neurocomputing, 2024)

A light-weight skeleton human action recognition model with knowledge distillation for edge intelligent surveillance applications. - Cheng Dai; Shoupeng Lu; Chuanjie Liu; Bing Guo (Appl. Soft Comput., 2024)

A Mutual-Influence-Aware Heuristic Method for Quantum Circuit Mapping. - Kui Ye; Shengxin Dai; Bing Guo; Yan Shen 001; Chuanjie Liu; Kejun Bi; Fei Chen; Yuchuan Hu; Mingjie Zhao 002 (IEEE Trans. Computers, 2024)

PluS: Highly Efficient and Expandable ML Compiler with Pluggable Graph Schedules. - Ruofan Wu; Zhen Zheng; Feng Zhang 007; Chuanjie Liu; Zaifeng Pan; Jidong Zhai; Xiaoyong Du 001 (USENIX ATC, 2025)

Enterprise risk assessment model based on graph attention networks. - Kejun Bi; Chuanjie Liu; Bing Guo (Appl. Intell., 2025)

Deep Reinforcement Learning Based 3D-Trajectory Design and Task Offloading in UAV-Enabled MEC System. - Chuanjie Liu; Yalin Zhong; Ruolin Wu; Siyu Ren; Shuang Du; Bing Guo (IEEE Trans. Veh. Technol., 2025)