About me
I am now a fourth-year Ph.D. candidate at the School of Computer Science and Technology, Huazhong University of Science and Technology (2022-present). I am advised by Prof. Haikun Liu. I enjoy working in CGCL lab. My research interests focus on:
In particular, my research objective is to thoroughly explore advanced computing and storage architectures to realize the high-performance, large-scale AI system.
Email: tbing (at) hust (dot) edu (dot) cn
📚 Publications
† denotes equal contribution.
FlowBlock: Wavefront-Parallel Decoding for Self-Correcting Diffusion Language Models
Bing Tian, Haikun Liu, Xiaocheng Zhong, Zhuohui Duan, Zhaokai Luo, Huayi Jin, Zhiyong Wang, Xiaofei Liao, Hai Jin
AsymANN: Enabling Fast Update and Search for Graph-based Vector Index with Asymmetric Topology Consistency
Bing Tian†, Jianhao Mu†, Haikun Liu, Lin Gu, Xiangrui Yang, Yuhang Tang, Zhuohui Duan, Xiaofei Liao, Hai Jin
TierANNS: Fast and Cost-Efficient Approximate Nearest Neighbor Search for Billion-Scale Vectors
Yuhang Tang†, Bing Tian†, Haikun Liu, Zhuohui Duan, Shuhao Zhang, Fubing Mao, Xiaofei Liao, Hai Jin
Breaking the Storage-Compute Bottleneck in Billion-Scale ANNS: A GPU-Driven Asynchronous I/O Framework
Yang Xiao, Mo Sun, Ziyu Song, Bing Tian, Jie Zhang, Jie Sun, Zeke Wang
ACM SIGMOD International Conference on Management of Data (SIGMOD), 2026
A SmartSSD-based Near Data Processing Architecture for Scalable Billion-point Approximate Nearest Neighbor Search
Haikun Liu, Bing Tian, Zhuohui Duan, Xiaofei Liao, Yu Zhang
ACM Transactions on Storage, 2025
Towards High-throughput and Low-latency Billion-scale Vector Search via CPU/GPU Collaborative Filtering and Re-ranking
Bing Tian, Haikun Liu, Yuhang Tang, Shihai Xiao, Zhuohui Duan, Xiaofei Liao, Hai Jin, Junhua Zhu, Xuecang Zhang, Yu Zhang
23rd USENIX Conference on File and Storage Technologies (FAST), Santa Clara, California, USA, February 25-27, 2025
Scalable Billion-point Approximate Nearest Neighbor Search Using SmartSSDs
Bing Tian, Haikun Liu, Zhuohui Duan, Xiaofei Liao, Hai Jin, Yu Zhang
2024 USENIX Annual Technical Conference (USENIX ATC), Santa Clara, California, USA, July 10-12, 2024
💼 Internships
| Period | Role | Organization |
|---|---|---|
| 2026.03 - Present | Researcher, Agent Memory | RedStar Talent Internship, RedNote. |
| 2023.09 - 2024.09 | Researcher, Vector Search | 2012 Laboratory, Huawei Inc. |
🎤 Invited Talks
| Date | Host | Talk |
|---|---|---|
| May 29, 2025 | Huawei ChaSpark | CPU-GPU Collaborative Vector Search |
| May 8, 2025 | Ant Group | CPU-GPU Collaborative Vector Search |
| May 17, 2023 | NeuHelium | Vector Search using SmartSSD |
| Apr 8, 2023 | Datawhale | Vector Search using SmartSSD |
🏆 Honors and Awards
| Year | Honor |
|---|---|
| 2025 | National Scholarship |
| 2024 | Guotai Junan Scholarship |
| 2023 | ZhiXing Excellent Graduate Scholarship |
| 2021 | Finalist for the Outstanding Winner Award in the Mathematical Contest in Modeling (MCM) |
| 2020 | National Scholarship |