| 2026 | ACL | Mind Reader: Latent User Demand-Guided Content Optimization for Generative Search Engine. | Tong Chen, Jiawei Guo, Yuxi Li, Baiming Chen, Houxing Ren, Zhang Zhiwei, Yunxiang Zhang, Hanyang Xia, Kun Liang, Zhaoran Fan |
| 2026 | ACL | Logit Arithmetic Elicits Long Reasoning Capabilities Without Training. | Yunxiang Zhang, Muhammad Khalifa, Lechen Zhang, Xin Liu, Ayoung Lee, Xinliang Frederick Zhang, Farima Fatahi Bayat, Lu Wang |
| 2026 | ACL | Skill-Aware Data Selection and Fine-Tuning for Data-Efficient Reasoning Distillation. | Lechen Zhang, Yunxiang Zhang, Wei Hu, Lu Wang |
| 2026 | EACL | Learning to Ideate for Machine Learning Engineering Agents. | Yunxiang Zhang, Kang Zhou, Zhichao Xu, Kiran Ramnath, Yun Zhou, Sangmin Woo, Haibo Ding, Lin Lee Cheong |
| 2026 | WACV | Perceptually Guided 3DGS Streaming and Rendering for Mixed Reality. | Yunxiang Zhang, Sai Harsha Mupparaju, Kenneth Chen, Jenna Kang, Xinyu Zhang, Maito Omori, Kazuyuki Arimatsu, Qi Sun |
| 2025 | CVPR | Dual-Stage Cross-Modal Network with Dynamic Feature Fusion for Emotional Mimicry Intensity Estimation. | Jun Yu, Lingsi Zhu, Yanjun Chi, Yunxiang Zhang, Yang Zhen, Yongqi Wang, Xilong Lu |
| 2025 | CVPR | Towards Robust Multimodal AU Detection: STN-Enhanced Visual Encoding and Audio-Visual Spatial-Temporal Alignment. | Jun Yu, Yunxiang Zhang, Fengzhao Sun, Leilei Wang, Renjie Lu, Lingsi Zhu, Xilong Lu, Yang Zheng, Yongqi Wang |
| 2025 | CVPR | Robust Stage-Wise LVLM Adaptation: Multi-Phase Prompt Lora Fine-tuning for Compound Expression Recognition. | Xilong Lu, Jun Yu, Yunxiang Zhang, Lingsi Zhu, Yang Zheng, Yongqi Wang, Qiang Ling |
| 2025 | DAC | NN-AdderNet: Nonnegative and Sparse Weight Optimization Towards Ultra-Low Bitwidth AdderNet Quantization and Compression. | Yunxiang Zhang, Gengchen Sun, Lizhi Fang, Biao Sun, Wenfeng Zhao |
| 2025 | DATE | SEDG: Stitch-Compatible End-to-End Layout Decomposition Based on Graph Neural Network. | Yifan Guo, Jiawei Chen, Yexin Li, Yunxiang Zhang, Qing Zhang, Yuhang Zhang, Yongfu Li |
| 2025 | ICCAD | JSA-CIM: A Joint-Sparse AdderNet Compute-In-Memory Accelerator for Energy-Efficient Edge AI Applications. | Omar Al Kailani, Yunxiang Zhang, Wenfeng Zhao |
| 2025 | ICCAD | Non-Negative AdderNet: Algorithm-Hardware Co-design for Lightweight Defense of Adversarial Bit-Flip Attacks. | Yunxiang Zhang, Sabbir Ahmed, Abeer Matar A. Almalky, Adnan Siraj Rakin, Wenfeng Zhao |
| 2025 | ICDM | Parameterized Hardware Generation for Mini-Float Summation-of-Absolute-Differences for AdderNet Based CNN Models. | Spencer Miles Buchanan, Jose Ramos, Cameron D. DiSomma, Yunxiang Zhang, Wenfeng Zhao, Xiaokun Yang |
| 2025 | ICRA | Towards Robust Autonomous Driving: Conditional Multimodal Large Language Models for Fine-Grained Perception. | Fengzhao Sun, Jun Yu, Yunxiang Zhang, Jiaming Hou, Xilong Lu, Heng Song, Fang Gao |
| 2025 | SIGGRAPH | Nano-Optics for Depth Sensing. | Yuan Xu, Bingxuan Li, Jiahao Wu, Zezheng Zhu, Yunxiang Zhang, Nanfang Yu, Qi Sun |
| 2025 | SIGGRAPH | Image-GS: Content-Adaptive Image Representation via 2D Gaussians. | Yunxiang Zhang, Bingxuan Li, Alexandr Kuznetsov, Akshay Jindal, Stavros Diolatzis, Kenneth Chen, Anton Sochenov, Anton Kaplanyan, Qi Sun |
| 2024 | ACL | Small Language Models Need Strong Verifiers to Self-Correct Reasoning. | Yunxiang Zhang, Muhammad Khalifa, Lajanugen Logeswaran, Jaekyeom Kim, Moontae Lee, Honglak Lee, Lu Wang |
| 2024 | DAC | AdderNet 2.0: Optimal FPGA Acceleration of AdderNet with Activation-Oriented Quantization and Fused Bias Removal based Memory Optimization. | Yunxiang Zhang, Omar Al Kailani, Wenfeng Zhao |
| 2024 | IJCNN | Enhancing Abstractive Dialogue Summarization with Internal Knowledge. | Shaolei Wang, Hanhan Ma, Yunxiang Zhang, Jing Ma, Liang He |
| 2024 | ISMAR | Toward User-Aware Interactive Virtual Agents: Generative Multi-Modal Agent Behaviors in VR. | Bhasura S. Gunawardhana, Yunxiang Zhang, Qi Sun, Zhigang Deng |
| 2024 | ISMAR | May the Force Be with You: Dexterous Finger Force-Aware VR Interface. | Fengze Zhang, Yunxiang Zhang, Xi Peng, Sky Achitoff, Paul M. Torrens, Qi Sun |
| 2024 | SIGGRAPH | Accelerating Saccadic Response through Spatial and Temporal Cross-Modal Misalignments. | Daniel Jimnez Navarro, Xi Peng, Yunxiang Zhang, Karol Myszkowski, Hans-Peter Seidel, Qi Sun, Ana Serrano |
| 2023 | EMNLP | Merging Generated and Retrieved Knowledge for Open-Domain QA. | Yunxiang Zhang, Muhammad Khalifa, Lajanugen Logeswaran, Moontae Lee, Honglak Lee, Lu Wang |
| 2023 | IJCNLP | Investigating Zero- and Few-shot Generalization in Fact Verification. | Liangming Pan, Yunxiang Zhang, Min-Yen Kan |
| 2023 | SIGGRAPH | Toward Optimized VR/AR Ergonomics: Modeling and Predicting User Neck Muscle Contraction. | Yunxiang Zhang, Kenneth Chen, Qi Sun |
| 2022 | AAAI | BiRdQA: A Bilingual Dataset for Question Answering on Tricky Riddles. | Yunxiang Zhang, Xiaojun Wan |
| 2022 | ACL | Interpreting the Robustness of Neural NLP Models to Textual Perturbations. | Yunxiang Zhang, Liangming Pan, Samson Tan, Min-Yen Kan |
| 2022 | ICCAD | WSQ-AdderNet: Efficient Weight Standardization Based Quantized AdderNet FPGA Accelerator Design with High-Density INT8 DSP-LUT Co-Packing Optimization. | Yunxiang Zhang, Biao Sun, Weixiong Jiang, Yajun Ha, Miao Hu, Wenfeng Zhao |
| 2022 | ISCAS | Exploiting a Blink of Measurement Saturation Towards Hardware-Efficient Compressed Sensing Encoder Design. | Yunxiang Zhang, Jian Xu, Miao Hu, Wenfeng Zhao |
| 2022 | NAACL | MOVER: Mask, Over-generate and Rank for Hyperbole Generation. | Yunxiang Zhang, Xiaojun Wan |
| 2021 | ICLR | CaPC Learning: Confidential and Private Collaborative Learning. | Christopher A. Choquette-Choo, Natalie Dullerud, Adam Dziedzic, Yunxiang Zhang, Somesh Jha, Nicolas Papernot, Xiao Wang |
| 2019 | ISMM | Max-Plus Operators Applied to Filter Selection and Model Pruning in Neural Networks. | Yunxiang Zhang, Samy Blusseau, Santiago Velasco-Forero, Isabelle Bloch, Jess Angulo |