Improve Visual Tracking by End-to-end Multi-Tracker Selection. - Tianqi Zheng; Chao Xie; Wengang Zhou 001; Houqiang Li (ICIMCS, 2016)

Compressive tracking with adaptive color feature selection and foreground modeling. - Tianqi Zheng; Chao Xie; Wengang Zhou 001; Houqiang Li (VCIP, 2016)

Motion trajectory of human arms based on the dual quaternion with motion tracker. - Li Ji; Hong Wang 010; Tianqi Zheng; Xunfang Qi (Multim. Tools Appl., 2017)

SilverChunk: An Efficient In-Memory Parallel Graph Processing System. - Tianqi Zheng; Zhibin Zhang; Xueqi Cheng (DEXA (2), 2019)

Kaleido: An Efficient Out-of-core Graph Mining System on A Single Machine. - Cheng Zhao; Zhibin Zhang; Peng Xu; Tianqi Zheng; Xueqi Cheng (CoRR, 2019)

Implicit Trajectory Planning for Feedback Linearizable Systems: A Time-varying Optimization Approach. - Tianqi Zheng; John W. Simpson-Porco; Enrique Mallada (ACC, 2020)

Marabunta: Continuous Distributed Processing of Skewed Streams. - Bing Li; Zhibin Zhang; Tianqi Zheng; Qiaoling Zhong; Qun Huang 001; Xueqi Cheng (CCGRID, 2020)

Kaleido: An Efficient Out-of-core Graph Mining System on A Single Machine. - Cheng Zhao; Zhibin Zhang; Peng Xu; Tianqi Zheng; Jiafeng Guo (ICDE, 2020)

Inner Approximations of the Positive-Semidefinite Cone via Grassmannian Packings. - Tianqi Zheng; James Guthrie; Enrique Mallada (CDC, 2021)

Tight Inner Approximations of the Positive-Semidefinite Cone via Grassmannian Packing. - Tianqi Zheng; James Guthrie; Enrique Mallada (CoRR, 2021)

Constrained Reinforcement Learning via Dissipative Saddle Flow Dynamics. - Tianqi Zheng; Pengcheng You; Enrique Mallada (IEEECONF, 2022)

The Impact of Serial Creator's Learning on Their Crowdfunding Performance: A Panel Data Analysis Based on Indiegogo. - Tianqi Zheng; Lei Liu; Yi Jiang (WHICEB, 2022)

Human-AI cooperation: Modes and their effects on attitudes. - Jian Li; Jinsong Huang; Jiaxiang Liu; Tianqi Zheng (Telematics Informatics, 2022)

How Chatbots' Anthropomorphism Affects User Satisfaction: The Mediating Role of Perceived Warmth and Competence. - Tianqi Zheng; Xingyu Duan; Kang Zhang; Xiangcheng Yang; Yi Jiang (WHICEB (2), 2023)

Make chatbots more adaptive: Dual pathways linking human-like cues and tailored response to trust in interactions with chatbots. - Yi Jiang; Xiangcheng Yang; Tianqi Zheng (Comput. Hum. Behav., 2023)

Closed-Loop Motion Planning for Differentially Flat Systems: A Time-Varying Optimization Framework. - Tianqi Zheng; John W. Simpson-Porco; Enrique Mallada (CoRR, 2023)

AmazonQAC: A Large-Scale, Naturalistic Query Autocomplete Dataset. - Dante Everaert; Rohit Patki; Tianqi Zheng; Christopher Potts (EMNLP (Industry Track), 2024)

AI-Based Situational Awareness for New Energy Power Forecasting. - Tianchuan Yang; Haiqiang Chen; Rui Wang; Tianqi Zheng (ICMLC, 2024)

A Product-Aware Query Auto-Completion Framework for E-Commerce Search via Retrieval-Augmented Generation Method. - Fangzheng Sun; Tianqi Zheng; Aakash Kolekar; Rohit Patki; Hossein Khazaei; Xuan Guo; Ziheng Cai; David Liu; Ruirui Li 002; Yupin Huang; Dante Everaert; Hanqing Lu; et al. (IR-RAG@SIGIR, 2024)

147.4 Tb/s DP-64QAM MDM-WDM Transmission over 500-km FMF utilizing MIMO Equalization Based on Multi-Label Neural Network. - Bohan Sang; Chen Wang; Yao Zhang; Bowen Zhu; Jianyu Long; Tianqi Zheng; Kaihui Wang; Wen Zhou 008; Bo Liu 020; Lei Shen; Bing Ye; Jianjun Yu (OFC, 2024)

Ultra-large Key Space Multi-dimensional Masking Encryption System for DSM-based D-band Wireless Fronthaul. - Tianqi Zheng; Kaihui Wang; Xiongwei Yang; Qiutong Zhang; Weiping Li; Yi Wei 005; Feng Wang 067; Xianming Zhao; Feng Zhao 011; Jianjun Yu (OFC, 2024)

Unraveling the Double-Edged Sword Effect of AI Transparency on Algorithmic Acceptance. - Jiamin Chen; Yi Jiang; Tianqi Zheng (PACIS, 2024)

Mitigating the Privacy Issues in Retrieval-Augmented Generation (RAG) via Pure Synthetic Data. - Shenglai Zeng; Jiankun Zhang; Pengfei He; Jie Ren 019; Tianqi Zheng; Hanqing Lu; Han Xu 002; Hui Liu 031; Yue Xing 002; Jiliang Tang (CoRR, 2024)

Dissipative Gradient Descent Ascent Method: A Control Theory Inspired Algorithm for Min-Max Optimization. - Tianqi Zheng; Nicolas Loizou; Pengcheng You; Enrique Mallada (IEEE Control. Syst. Lett., 2024)

Towards Context-Robust LLMs: A Gated Representation Fine-tuning Approach. - Shenglai Zeng; Pengfei He; Kai Guo 003; Tianqi Zheng; Hanqing Lu; Yue Xing 002; Hui Liu 031 (ACL (1), 2025)

Unlocking Efficient, Scalable, and Continual Knowledge Editing with Basis-Level Representation Fine-Tuning. - Tianci Liu 003; Ruirui Li 002; Yunzhe Qi; Hui Liu 031; Xianfeng Tang; Tianqi Zheng; Qingyu Yin; Monica Xiao Cheng; Jun Huan; Haoyu Wang 004; Jing Gao 004 (ICLR, 2025)

Towards Knowledge Checking in Retrieval-augmented Generation: A Representation Perspective. - Shenglai Zeng; Jiankun Zhang; Bingheng Li; Yuping Lin; Tianqi Zheng; Dante Everaert; Hanqing Lu; Hui Liu 031; Yue Xing 002; Monica Xiao Cheng; Jiliang Tang (NAACL (Long Papers), 2025)

Real-time deployment of nonlinear compensation equalizer based on pruning and non-uniform quantization in Short-Reach Optical Links. - Xinda Sun; Kaihui Wang; Bohan Sang; Zonghui Zhu; Yumeng Gou; Yuanxiao Meng; Tianqi Zheng; Sheng Hu; Jianghao Wu 006; Jianjun Yu; Wen Zhou 008; Yun Chen 001 (OFC, 2025)

Beyond Text: Unveiling Privacy Vulnerabilities in Multi-modal Retrieval-Augmented Generation. - Jiankun Zhang; Shenglai Zeng; Jie Ren 019; Tianqi Zheng; Hui Liu 031; Xianfeng Tang; Hui Liu 031; Yi Chang 001 (CoRR, 2025)