| 2026 | ASPDAC | SpANNS: Optimizing Approximate Nearest Neighbor Search for Sparse Vectors Using Near Memory Processing. | Tianqi Zhang, Flavio Ponzina, Tajana Rosing |
| 2026 | CoNLL | An Information-Theoretic Study of RLHF-Induced Uniformity in Large Language Model Outputs. | Nolan Chai, Tianqi Zhang, Alex Warstadt |
| 2026 | DATE | FHEIns: Fully Homomorphic Encryption Acceleration for Large Data Applications with In-Storage Processing. | Xuan Wang, Tianqi Zhang, Keming Fan, Augusto Vega, Minxuan Zhou, Tajana Rosing |
| 2026 | DATE | FaTRQ: Tiered Residual Quantization for LLM Vector Search in Far-Memory-Aware ANNS Systems. | Tianqi Zhang, Flavio Ponzina, Tajana Rosing |
| 2026 | ISCAS | SIMCH: Stochastic In-Memory Computing using High-Density MTJ. | Tianqi Zhang, Qiuyuan Wang, Flavio Ponzina, Luqiao Liu, Tajana Rosing |
| 2025 | AAAI | Fine-Grained Graph Representation Learning for Heterogeneous Mobile Networks with Attentive Fusion and Contrastive Learning. | Shengheng Liu, Tianqi Zhang, Ningning Fu, Yongming Huang |
| 2025 | ICLR | Human Simulacra: Benchmarking the Personification of Large Language Models. | Qiujie Xie, Qiming Feng, Tianqi Zhang, Qingqiu Li, Linyi Yang, Yuejie Zhang, Rui Feng, Liang He, Shang Gao, Yue Zhang |
| 2025 | ICRA | Physics-Aware Robotic Palletization With Online Masking Inference. | Tianqi Zhang, Zheng Wu, Yuxin Chen, Yixiao Wang, Boyuan Liang, Scott Moura, Masayoshi Tomizuka, Mingyu Ding, Wei Zhan |
| 2024 | ACL | The Earth is Flat because...: Investigating LLMs' Belief towards Misinformation via Persuasive Conversation. | Rongwu Xu, Brian S. Lin, Shujian Yang, Tianqi Zhang, Weiyan Shi, Tianwei Zhang, Zhixuan Fang, Wei Xu, Han Qiu |
| 2024 | DAC | SpectraFlux: Harnessing the Flow of Multi-FPGA in Mass Spectrometry Clustering. | Tianqi Zhang, Neha Prakriya, Sumukh Pinge, Jason Cong, Tajana Rosing |
| 2024 | DATE | SpecHD: Hyperdimensional Computing Framework for FPGA-Based Mass Spectrometry Clustering. | Sumukh Pinge, Weihong Xu, Jaeyoung Kang, Tianqi Zhang, Niema Moshiri, Wout Bittremieux, Tajana Rosing |
| 2024 | GLOBECOM | Plag-Llama for IoT-Enabled Data Centers: A Multivariate Time Series Forecasting Approach. | Yu Sun, Bo Cheng, Jinan Li, Gaoxiang Jiang, Tianqi Zhang, Haibo Zhou |
| 2023 | ICANN | Self-supervised Video Object Segmentation Using Motion Feature Compensation. | Tianqi Zhang, Bo Li |
| 2023 | ICCE | Unveiling University Students' Data Literacy: A Case Study on Modeling Reasoning in Data Mining Projects. | Tianqi Zhang |
| 2023 | Interspeech | Audio-Visual Fusion using Multiscale Temporal Convolutional Attention for Time-Domain Speech Separation. | Debang Liu, Tianqi Zhang, Mads Grsbll Christensen, Ying Wei, Zeliang An |
| 2023 | PIMRC | Deep Reinforcement Learning Enabled Power Allocation for Multi-Connectivity C-V2X Downlink. | Jianzhe Xue, Kai Yu, Tianqi Zhang, Haibo Zhou, Xuemin Sherman Shen |
| 2023 | PIMRC | Multi-Connectivity Mobility Management in Downlink FD-RAN: A Learning Based Approach. | Tianqi Zhang, Jianzhe Xue, Jiwei Zhao, Jiacheng Chen, Haibo Zhou, Xuemin Sherman Shen |
| 2022 | EMNLP | An Explainable Toolbox for Evaluating Pre-trained Vision-Language Models. | Tiancheng Zhao, Tianqi Zhang, Mingwei Zhu, Haozhan Shen, Kyusong Lee, Xiaopeng Lu, Jianwei Yin |
| 2022 | GLOBECOM | Spectral Efficiency Analysis of Uplink-Downlink Decoupled Access in C-V2X Networks. | Luofang Jiao, Kai Yu, Yunting Xu, Tianqi Zhang, Haibo Zhou, Xuemin Shen |
| 2022 | GLOBECOM | Sparse Big Data for Vehicular Network Traffic Flow Estimation: A Machine Learning Approach. | Jianzhe Xue, Tianqi Zhang, Wen Wu, Haibo Zhou, Xuemin Shen |
| 2021 | CVPR | Combinatorial Learning of Graph Edit Distance via Dynamic Embedding. | Runzhong Wang, Tianqi Zhang, Tianshu Yu, Junchi Yan, Xiaokang Yang |
| 2021 | IGARSS | Evaluating the Representative Canopy Surface of Arcticdem in Boreal Forests. | Tianqi Zhang, Desheng Liu |
| 2020 | CIKM | CommDGI: Community Detection Oriented Deep Graph Infomax. | Tianqi Zhang, Yun Xiong, Jiawei Zhang, Yao Zhang, Yizhu Jiao, Yangyong Zhu |
| 2020 | ICDM | Sub-graph Contrast for Scalable Self-Supervised Graph Representation Learning. | Yizhu Jiao, Yun Xiong, Jiawei Zhang, Yao Zhang, Tianqi Zhang, Yangyong Zhu |
| 2019 | IJCAI | Model and Simulation of Microwave Ablation with Single Antennas on Irregular Hepatic Cancerous Tissue. | Yonghua Lao, Tianqi Zhang, Jinhua Huang, R. Yang |
| 2017 | IECON | An experimental comparison of GaN, SiC and Si switching power devices. | Patrick R. Palmer, Xueqiang Zhang, Edward Shelton, Tianqi Zhang, Jin Zhang |
| 2017 | IECON | A new islanding cutting off strategy based on complex priority index. | Tianqi Zhang, Wu Cao, Jianfeng Zhao |
| 2015 | ICNC | A multimodal framework for integrating biological spectral characteristics and MEG/EEG in brain-source imaging. | Feng Luan, Zhiming Zhang, Tianqi Zhang |
| 2010 | ICISP | Selecting Optimal Orientations of Gabor Wavelet Filters for Facial Image Analysis. | Tianqi Zhang, Bao-Liang Lu |
| 2007 | CIS | Estimate and Track the PN Sequence of Weak DS-SS Signals. | Tianqi Zhang, Shaosheng Dai, Liufei Yang, Xuesong Li |
| 2007 | ICINCO | Use a neural networks to estimate and track the PN sequence in lower SNR DS-SS signals. | Tianqi Zhang, Shaosheng Dai, Zhengzhong Zhou, Xiaokang Lin |
| 2007 | ISNN | A New Method of IRFPA Nonuniformity Correction. | Shaosheng Dai, Tianqi Zhang, Jian Gao |
| 2006 | ISDA | An On-Line Unsupervised Neural Network to Adaptive Feature Extraction of Lower SNR DS-SS signals. | Tianqi Zhang, Qianbin Chen, Zengshan Tian, Xiaokang Lin |
| 2006 | ISNN | A Neural Network Method for Blind Signature Waveform Estimation of Synchronous CDMA Signals. | Tianqi Zhang, Zengshan Tian, Zhengzhong Zhou, Yujun Kuang |
| 2005 | ISNN | A Modified PCA Neural Network to Blind Estimation of the PN Sequence in Lower SNR DS-SS Signals. | Tianqi Zhang, Xiaokang Lin, Zhengzhong Zhou, Aiping Mu |
| 2004 | ISNN | Use PCA Neural Network to Extract the PN Sequence in Lower SNR DS/SS Signals. | Tianqi Zhang, Xiaokang Lin, Zhengzhong Zhou |