news

2026.09 VAR-Q will appear at NeurIPS 2026! Our project page is now live, featuring tuning-free KV cache quantization for autoregressive image and video generation, with results across nine models. Read the paper.
2026.07 Successfully defended my Ph.D. dissertation, “Co-Architecting Models and Systems for Efficient Perception and Generation,” at UC Santa Barbara.
2026.07 Received Second Place at the DAC Ph.D. Forum and a travel grant from ACM SIGDA / IEEE CEDA.
2026.05 Recognized as an ICML 2026 Gold Reviewer.
2026.04 Our Sparse Forcing preprint is available: native trainable sparse attention for real-time autoregressive video generation, in collaboration with Meta Superintelligence Labs. Paper.
2026.04 Awarded the Radhakrishnan Nagarajan Family Fellowship at UCSB.
2026.02 Paper on VLM hallucination mitigation (VEGAS) accepted at CVPR 2026 Findings.
2025.11 Papers on adaptive KV caching for visual autoregressive models and KAN-based graph contrastive learning accepted at AAAI 2026.
2025.10 🏆 Paper on 3D MoE spiking transformers nominated for the William J. McCalla Best Paper Award at ICCAD 2025 — second consecutive year.
2025.06 Paper on 3D MoE spiking transformer acceleration accepted at ICCAD 2025.
2025.05 Paper on transfer learning for Vmin prediction in advanced nodes accepted at ITC 2025.
2025.04 Paper on heterogeneous quantization for spiking vision transformers accepted at ASAP 2025.
2025.03 Paper on heterogeneous-core acceleration of spiking transformers with error-constrained pruning accepted at ISCA 2025.
2025.01 Paper on network-hardware co-optimization for sparse SNN accelerators accepted at TCAD as a long paper.
2025.01 Joining Meta Superintelligence Labs this summer in Seattle, working on efficient movie generation.
2024.10 🏆 Paper on 3D spiking transformer accelerators nominated for the William J. McCalla Best Paper Award at ICCAD 2024.
2024.07 Papers on 3D spiking transformer accelerators and LLM-guided analog design accepted at ICCAD 2024.
2024.06 Started summer internship at Meta AI, working on multi-teacher knowledge distillation of multi-modal multi-task foundation models.
2024.05 Paper on a multi-modal IoT SoC with on-chip MRAM accepted at JSSC.